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1. Evidence from the large VALIGA cohort validates the subclassification of focal segmental glomerulosclerosis in IgA nephropathy

Author

Coppo, R., Feehaly, J., Troyanov, S., Cattran, D.C., Cook, H.T., Roberts, I., Radcliffe, John, Russo, M.L., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Papagianni, K., Stangou, M., Giacchino, F., Goumenos, D., Papasotirious, M., Kalliakmani, P., Gerolymos, M., Galesic, K., Toric, L., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Boria Grinyo, J.M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Hryszko, T., Klinger, M., Kamińska, D., Krajewska, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Cambier, A., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Diomedi-Casadei, F., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., Royal, V., Bellur, Shubha S., Troyanov, Stéphan, Vorobyeva, Olga, Coppo, Rosanna, and Roberts, Ian S.D.

Published
2024
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2. Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy

Author

Russo, M.L., Troyanov, S., Cook, H.T., Roberts, I., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Papachristou, E., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Smerud, H. Kloster, Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Boria Grinyo, J.M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Terroba, J. Arce, Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Ljubanovic, D. Galesic, Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., Bavbek, N., Cook, T., Alpers, C., Berthoux, F., Bonsib, S., D’Agati, V., D’Amico, G., Emancipator, S., Emmal, F., Fervenza, F., Florquin, S., Fogo, A., Groene, H., Haas, M., Hill, P., Hogg, R., Hsu, S., Hunley, T., Hladunewich, M., Jennette, C., Joh, K., Julian, B., Kawamura, T., Lai, F., Leung, C., Li, L., Li, P., Liu, Z., Massat, A., Mackinnon, B., Mezzano, S., Schena, F., Tomino, Y., Walker, P., Wang, H., Weening, J., Yoshikawa, N., Zeng, C.-H., Shi, S., Nogi, C., Suzuki, H., Koike, K., Hirano, K., Yokoo, T., Hanai, M., Fukami, K., Takahashi, K., Yuzawa, Y., Niwa, M., Yasuda, Y., Maruyama, S., Ichikawa, D., Suzuki, T., Shirai, S., Fukuda, A., Fujimoto, S., Trimarchi, H., Barbour, Sean J., Coppo, Rosanna, Zhang, Hong, Liu, Zhi-Hong, Suzuki, Yusuke, Matsuzaki, Keiichi, Er, Lee, Reich, Heather N., Barratt, Jonathan, and Cattran, Daniel C.

Published
2022
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3. Development and testing of an artificial intelligence tool for predicting end-stage kidney disease in patients with immunoglobulin A nephropathy

Author

Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Coppo, R., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Angioi, A., Piras, L., Feehally, J., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Papasotiriou, M., Galesic, K., Toric, L., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Smerud, H. Kloster, Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Rauen, T., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Grinyo, J.M. Boria, Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Martina, G., Messuerotti, A., Canton, A. Dal, Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Mazzucco, Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Terroba, J. Arce, Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., GalesicLjubanovic, D., Gakiopoulou, H., Bertoni, E., Ortiz, P. Cannata, Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., FulladosaOliveras, X., Maldyk, J., Ioachim, E., Abbrescia, Daniela, Kouri, Nikoleta, Stangou, Maria, Papagianni, Aikaterini, Scolari, Francesco, Delbarba, Elisa, Bonomini, Mario, Piscitani, Luca, Stallone, Giovanni, Infante, Barbara, Godeas, Giulia, Madio, Desiree, Biancone, Luigi, Campagna, Marco, Zaza, Gianluigi, Squarzoni, Isabella, Cangemi, Concetta, Schena, Francesco Paolo, Anelli, Vito Walter, Trotta, Joseph, Di Noia, Tommaso, Manno, Carlo, Tripepi, Giovanni, D’Arrigo, Graziella, Chesnaye, Nicholas C., Russo, Maria Luisa, Zoccali, Carmine, Tesar, Vladimir, and Coppo, Rosanna

Published
2021
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4. Improving treatment decisions using personalized risk assessment from the International IgA Nephropathy Prediction Tool

Author

Russo, M.L., Troyanov, S., Cook, H.T., Roberts, I., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Kalliakmani, P., Gerolymos, M., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Boria Grinyo, J.M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., Bavbek, N., Cook, T., Alpers, C., Berthoux, F., Bonsib, S., D’Agati, V., D’Amico, G., Emancipator, S., Emmal, F., Fervenza, F., Florquin, S., Fogo, A., Groene, H., Haas, M., Hill, P., Hogg, R., Hsu, S., Hunley, T., Hladunewich, M., Jennette, C., Joh, K., Julian, B., Kawamura, T., Lai, F., Leung, C., Li, L., Li, P., Liu, Z., Massat, A., Mackinnon, B., Mezzano, S., Schena, F., Tomino, Y., Walker, P., Wang, H., Weening, J., Yoshikawa N, N., Zeng, C.-H., Shi, S., Nogi, C., Suzuki, H., Koike, K., Hirano, K., Yokoo, T., Hanai, M., Fukami, K., Takahashi, K., Yuzawa, Y., Niwa, M., Yasuda, Y., Maruyama, S., Ichikawa, D., Suzuki, T., Shirai, S., Fukuda, A., Fujimoto, S., Trimarchi, H., Barbour, Sean J., Canney, Mark, Coppo, Rosanna, Zhang, Hong, Liu, Zhi-Hong, Suzuki, Yusuke, Matsuzaki, Keiichi, Katafuchi, Ritsuko, Induruwage, Dilshani, Er, Lee, Reich, Heather N., Feehally, John, Barratt, Jonathan, and Cattran, Daniel C.

Published
2020
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5. Multi-population genome-wide association study implicates immune and non-immune factors in pediatric steroid-sensitive nephrotic syndrome.

Author

Barry, A., McNulty, M.T., Jia, X., Gupta, Y., Debiec, H., Luo, Y, Nagano, C., Horinouchi, T., Jung, S., Colucci, M., Ahram, D.F., Mitrotti, A., Sinha, A., Teeninga, N., Jin, G., Shril, S., Caridi, G., Bodria, M., Lim, T.Y., Westland, R., Zanoni, F., Marasa, M., Turudic, D., Giordano, M., Gesualdo, L., Magistroni, R., Pisani, I., Fiaccadori, E., Reiterova, J., Maringhini, S., Morello, W., Montini, G., Weng, P.L., Scolari, F., Saraga, M., Tasic, V., Santoro, D., Wijk, J.A. van, Milošević, D., Kawai, Y., Kiryluk, K., Pollak, M.R., Gharavi, A., Lin, F., Simœs E Silva, A.C., Loos, R.J., Kenny, E.E., Schreuder, M.F., Zurowska, A., Dossier, C., Ariceta, G., Drozynska-Duklas, M., Hogan, J., Jankauskiene, A., Hildebrandt, F., Prikhodina, L., Song, K., Bagga, A., Cheong H, 2.n.d., Ghiggeri, G.M., Vachvanichsanong, P., Nozu, K., Lee, D., Vivarelli, M., Raychaudhuri, S., Tokunaga, K., Sanna-Cherchi, S., Ronco, P., Iijima, K., Sampson, M.G., Barry, A., McNulty, M.T., Jia, X., Gupta, Y., Debiec, H., Luo, Y, Nagano, C., Horinouchi, T., Jung, S., Colucci, M., Ahram, D.F., Mitrotti, A., Sinha, A., Teeninga, N., Jin, G., Shril, S., Caridi, G., Bodria, M., Lim, T.Y., Westland, R., Zanoni, F., Marasa, M., Turudic, D., Giordano, M., Gesualdo, L., Magistroni, R., Pisani, I., Fiaccadori, E., Reiterova, J., Maringhini, S., Morello, W., Montini, G., Weng, P.L., Scolari, F., Saraga, M., Tasic, V., Santoro, D., Wijk, J.A. van, Milošević, D., Kawai, Y., Kiryluk, K., Pollak, M.R., Gharavi, A., Lin, F., Simœs E Silva, A.C., Loos, R.J., Kenny, E.E., Schreuder, M.F., Zurowska, A., Dossier, C., Ariceta, G., Drozynska-Duklas, M., Hogan, J., Jankauskiene, A., Hildebrandt, F., Prikhodina, L., Song, K., Bagga, A., Cheong H, 2.n.d., Ghiggeri, G.M., Vachvanichsanong, P., Nozu, K., Lee, D., Vivarelli, M., Raychaudhuri, S., Tokunaga, K., Sanna-Cherchi, S., Ronco, P., Iijima, K., and Sampson, M.G.

Abstract

Item does not contain fulltext, Pediatric steroid-sensitive nephrotic syndrome (pSSNS) is the most common childhood glomerular disease. Previous genome-wide association studies (GWAS) identified a risk locus in the HLA Class II region and three additional independent risk loci. But the genetic architecture of pSSNS, and its genetically driven pathobiology, is largely unknown. Here, we conduct a multi-population GWAS meta-analysis in 38,463 participants (2440 cases). We then conduct conditional analyses and population specific GWAS. We discover twelve significant associations-eight from the multi-population meta-analysis (four novel), two from the multi-population conditional analysis (one novel), and two additional novel loci from the European meta-analysis. Fine-mapping implicates specific amino acid haplotypes in HLA-DQA1 and HLA-DQB1 driving the HLA Class II risk locus. Non-HLA loci colocalize with eQTLs of monocytes and numerous T-cell subsets in independent datasets. Colocalization with kidney eQTLs is lacking but overlap with kidney cell open chromatin suggests an uncharacterized disease mechanism in kidney cells. A polygenic risk score (PRS) associates with earlier disease onset. Altogether, these discoveries expand our knowledge of pSSNS genetic architecture across populations and provide cell-specific insights into its molecular drivers. Evaluating these associations in additional cohorts will refine our understanding of population specificity, heterogeneity, and clinical and molecular associations.

Published
2023

6. Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy

Author

Barbour, Sean J., primary, Coppo, Rosanna, additional, Zhang, Hong, additional, Liu, Zhi-Hong, additional, Suzuki, Yusuke, additional, Matsuzaki, Keiichi, additional, Er, Lee, additional, Reich, Heather N., additional, Barratt, Jonathan, additional, Cattran, Daniel C., additional, Russo, M.L., additional, Troyanov, S., additional, Cook, H.T., additional, Roberts, I., additional, Tesar, V., additional, Maixnerova, D., additional, Lundberg, S., additional, Gesualdo, L., additional, Emma, F., additional, Fuiano, L., additional, Beltrame, G., additional, Rollino, C., additional, Amore, A., additional, Camilla, R., additional, Peruzzi, L., additional, Praga, M., additional, Feriozzi, S., additional, Polci, R., additional, Segoloni, G., additional, Colla, L., additional, Pani, A., additional, Piras, D., additional, Angioi, A., additional, Cancarini, G., additional, Ravera, S., additional, Durlik, M., additional, Moggia, E., additional, Ballarin, J., additional, Di Giulio, S., additional, Pugliese, F., additional, Serriello, I., additional, Caliskan, Y., additional, Sever, M., additional, Kilicaslan, I., additional, Locatelli, F., additional, Del Vecchio, L., additional, Wetzels, J.F.M., additional, Peters, H., additional, Berg, U., additional, Carvalho, F., additional, da Costa Ferreira, A.C., additional, Maggio, M., additional, Wiecek, A., additional, Ots-Rosenberg, M., additional, Magistroni, R., additional, Topaloglu, R., additional, Bilginer, Y., additional, D’Amico, M., additional, Stangou, M., additional, Giacchino, F., additional, Goumenos, D., additional, Papachristou, E., additional, Galesic, K., additional, Geddes, C., additional, Siamopoulos, K., additional, Balafa, O., additional, Galliani, M., additional, Stratta, P., additional, Quaglia, M., additional, Bergia, R., additional, Cravero, R., additional, Salvadori, M., additional, Cirami, L., additional, Fellstrom, B., additional, Smerud, H. Kloster, additional, Ferrario, F., additional, Stellato, T., additional, Egido, J., additional, Martin, C., additional, Floege, J., additional, Eitner, F., additional, Lupo, A., additional, Bernich, P., additional, Menè, P., additional, Morosetti, M., additional, van Kooten, C., additional, Rabelink, T., additional, Reinders, M.E.J., additional, Boria Grinyo, J.M., additional, Cusinato, S., additional, Benozzi, L., additional, Savoldi, S., additional, Licata, C., additional, Mizerska-Wasiak, M., additional, Martina, G., additional, Messuerotti, A., additional, Dal Canton, A., additional, Esposito, C., additional, Migotto, C., additional, Triolo, G., additional, Mariano, F., additional, Pozzi, C., additional, Boero, R., additional, Bellur, S., additional, Mazzucco, G., additional, Giannakakis, C., additional, Honsova, E., additional, Sundelin, B., additional, Di Palma, A.M., additional, Gutiérrez, E., additional, Asunis, A.M., additional, Barratt, J., additional, Tardanico, R., additional, Perkowska-Ptasinska, A., additional, Terroba, J. Arce, additional, Fortunato, M., additional, Pantzaki, A., additional, Ozluk, Y., additional, Steenbergen, E., additional, Soderberg, M., additional, Riispere, Z., additional, Furci, L., additional, Orhan, D., additional, Kipgen, D., additional, Casartelli, D., additional, Ljubanovic, D. Galesic, additional, Gakiopoulou, H., additional, Bertoni, E., additional, Cannata Ortiz, P., additional, Karkoszka, H., additional, Groene, H.J., additional, Stoppacciaro, A., additional, Bajema, I., additional, Bruijn, J., additional, Fulladosa Oliveras, X., additional, Maldyk, J., additional, Ioachim, E., additional, Bavbek, N., additional, Cook, T., additional, Alpers, C., additional, Berthoux, F., additional, Bonsib, S., additional, D’Agati, V., additional, D’Amico, G., additional, Emancipator, S., additional, Emmal, F., additional, Fervenza, F., additional, Florquin, S., additional, Fogo, A., additional, Groene, H., additional, Haas, M., additional, Hill, P., additional, Hogg, R., additional, Hsu, S., additional, Hunley, T., additional, Hladunewich, M., additional, Jennette, C., additional, Joh, K., additional, Julian, B., additional, Kawamura, T., additional, Lai, F., additional, Leung, C., additional, Li, L., additional, Li, P., additional, Liu, Z., additional, Massat, A., additional, Mackinnon, B., additional, Mezzano, S., additional, Schena, F., additional, Tomino, Y., additional, Walker, P., additional, Wang, H., additional, Weening, J., additional, Yoshikawa, N., additional, Zeng, C.-H., additional, Shi, S., additional, Nogi, C., additional, Suzuki, H., additional, Koike, K., additional, Hirano, K., additional, Yokoo, T., additional, Hanai, M., additional, Fukami, K., additional, Takahashi, K., additional, Yuzawa, Y., additional, Niwa, M., additional, Yasuda, Y., additional, Maruyama, S., additional, Ichikawa, D., additional, Suzuki, T., additional, Shirai, S., additional, Fukuda, A., additional, Fujimoto, S., additional, and Trimarchi, H., additional

Published
2022
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7. Hypokalemia in Patients with COVID-19

Author

Alfano, G., Ferrari, A., Fontana, F., Perrone, R., Mori, G., Ascione, E., Magistroni, R., Venturi, G., Pederzoli, S., Margiotta, G., Romeo, M., Piccinini, F., Franceschi, G., Volpi, S., Faltoni, M., Ciusa, G., Bacca, E., Tutone, M., Raimondi, A., Menozzi, M., Franceschini, E., Cuomo, G., Orlando, G., Santoro, A., Di Gaetano, M., Puzzolante, C., Carli, F., Bedini, A., Milic, J., Meschiari, M., Mussini, C., Cappelli, G., Guaraldi, G., Borghi, V., Burastero, G., Corradi, L., Dolci, G., Fantini, R., Iadisernia, V., Larne, D., Pellegrino, F., Rogati, C., Tonelli, R., Yaacoub, D., Alfan, S., Marco, B., Pulizzi, R., Leonelli, M., Facchini, F., Damiano, F., Girardis, M., Andreotti, A., Biagioni, E., Bondi, F., Busani, S., Chierego, G., Scotti, M., Cossarizza, L. S. A., Bellinazzi, C., Borella, R., De Biasi, S., De Gaetano, A., Fidanza, L., Gibellini, L., Iannone, A., Tartaro, D. L., Mattioli, M., Nasi, M., Paolini, A., and Pinti, M.

Subjects
Male, Pediatrics, Physiology, medicine.medical_treatment, 030232 urology & nephrology, Urine, 030204 cardiovascular system & hematology, Electrolytes, 0302 clinical medicine, Risk Factors, 80 and over, Prevalence, Medicine, Magnesium, Hospital Mortality, Diuretics, COVID, Aged, 80 and over, Urinary potassium loss, Middle Aged, Hypokalemia, Nephrology, Cohort, Original Article, Female, SOFA score, medicine.symptom, Coronavirus, Potassium, Aged, COVID-19, Humans, Retrospective Studies, SARS-CoV-2, Electrolyte Disorder, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Anorexia, 03 medical and health sciences, Physiology (medical), Internal medicine, Hyperventilation, In patient, business.industry, Retrospective cohort study, Odds ratio, Diuretic, business
Abstract

Patients with COVID-19 may experience multiple conditions (e.g., fever, hyperventilation, anorexia, gastroenteritis, acid-base disorder) that may cause electrolyte imbalances. Hypokalemia is a concerning electrolyte disorder that may increase the susceptibility to various kinds of arrhythmia. This study aimed to estimate prevalence, risk factors and outcome of hypokalemia in a cohort of non-critically ill patients. A retrospective analysis was conducted on 290 hospitalized patients with confirmed COVID-19 infection at the tertiary teaching hospital of Modena, Italy.Hypokalemia (Hypokalemia is a frequent disorder in COVID-19 patients and urinary potassium loss may be the main cause of hypokalemia. The disorder was mild in the majority of the patients and was unrelated to poor outcomes. Nevertheless, hypokalemic patients required potassium supplements to dampen the risk of arrhythmias.

Published
2021
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8. Is there long-term value of pathology scoring in immunoglobulin A nephropathy? A validation study of the Oxford Classification for IgA Nephropathy (VALIGA) update

Author

Coppo, R., D'Arrigo, G., Tripepi, G., Russo, M. L., Roberts, I. S. D., Bellur, S., Cattran, D., Cook, T. H., Feehally, J., Tesar, V., Maixnerova, D., Peruzzi, L., Amore, A., Lundberg, S., Di Palma, A. M., Gesualdo, L., Emma, F., Rollino, C., Praga, M., Biancone, L., Pani, A., Feriozzi, S., Polci, R., Barratt, J., Del Vecchio, L., Locatelli, F., Pierucci, A., Caliskan, Y., Perkowska-Ptasinska, A., Durlik, M., Moggia, E., Ballarin, J. C., Wetzels, J. F. M., Goumenos, D., Papasotiriou, M., Galesic, K., Toric, L., Papagianni, A., Stangou, M., Benozzi, L., Cusinato, S., Berg, U., Topaloglu, R., Maggio, M., Ots-Rosenberg, M., D'Amico, M., Geddes, C., Balafa, O., Quaglia, M., Cravero, R., Cirami, C. L., Fellstrom, B., Floege, J., Egido, J., Mallamaci, F., Zoccali, C., Fuiano, L., Beltrame, G., Camilla, R., Segoloni, G., Colla, L., Angioi, A., Piras, L., Cancarini, G., Ravera, S., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Sever, M., Kilicaslan, I., Peters, H., Carvalho, F., Da Costa Ferreira, A. C., Wiecek, A., Magistroni, R., Bilginer, Y., Giacchino, F., Papastirou, M., Siamopoulos, K., Galliani, M., Stratta, P., Bergia, R., Salvadori, M., Cirami, L., Kloster Smerud, H., Ferrario, F., Stellato, T., Martin, C., Eitner, F., Rauen, T., Lupo, A., Bernich, P., Mene, P., Morosetti, M., Van Kooten, C., Rabelink, T., Reinders, M. E. J., Boria Grinyo, J. M., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Gutierrez, E., Asunis, A. M., Tardanico, R., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Akiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H. J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., and Internal Medicine

Subjects
Adult, Male, Pathology, medicine.medical_specialty, Adolescent, 030232 urology & nephrology, Renal function, 030204 cardiovascular system & hematology, Kidney, Nephropathy, Cohort Studies, 03 medical and health sciences, Glomerulonephritis, 0302 clinical medicine, renal biopsy, Interquartile range, IgA nephropathy, progression, risk factors, Child, Disease Progression, Female, Follow-Up Studies, Glomerular Filtration Rate, Glomerulonephritis, IGA, Humans, Prognosis, Medicine, Endocapillary hypercellularity, IGA, Transplantation, medicine.diagnostic_test, business.industry, medicine.disease, medicine.anatomical_structure, Renal pathology, Nephrology, Cohort, Renal biopsy, Renal disorders Radboud Institute for Health Sciences [Radboudumc 11], business
Abstract

Background It is unknown whether renal pathology lesions in immunoglobulin A nephropathy (IgAN) correlate with renal outcomes over decades of follow-up. Methods In 1130 patients of the original Validation Study of the Oxford Classification for IgA Nephropathy (VALIGA) cohort, we studied the relationship between the MEST score (mesangial hypercellularity, M; endocapillary hypercellularity, E; segmental glomerulosclerosis, S; tubular atrophy/interstitial fibrosis, T), crescents (C) and other histological lesions with both a combined renal endpoint [50% estimated glomerular filtration rate (eGFR) loss or kidney failure] and the rate of eGFR decline over a follow-up period extending to 35 years [median 7 years (interquartile range 4.1–10.8)]. Results In this extended analysis, M1, S1 and T1–T2 lesions as well as the whole MEST score were independently related with the combined endpoint (P Conclusion Long-term follow-up analyses of the VALIGA cohort showed that the independent relationship between kidney biopsy findings and the risk of progression towards kidney failure in IgAN remains unchanged across all age groups and decades after the renal biopsy.

Published
2020
Full Text
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12. Artificial intelligence in glomerular diseases

Author

Schena, F. P., Magistroni, R., Narducci, F., Abbrescia, D. I., Anelli, V. W., and Di Noia, T.

Subjects
Machine Learning Algorithm, Artificial Intelligence, Clinical Outcome, Deep Learning Algorithm, Glomerulonephritis, Natural Language Processing, Machine Learning, Nephrology, Pediatrics, Perinatology and Child Health, Humans, Prospective Studies, Renal Insufficiency, Chronic, Algorithms, Retrospective Studies
Abstract

In this narrative review, we focus on the application of artificial intelligence in the clinical history of patients with glomerular disease, digital pathology in kidney biopsy, renal ultrasonography imaging, and prediction of chronic kidney disease (CKD). With the development of natural language processing, the clinical history of a patient can be used to identify a computable phenotype. In kidney pathology, digital imaging has adopted innovative deep learning algorithms (DLAs) that can improve the predictive capability of the examined lesions. However, at this time, these applications can only be used in research because there is no recognized validation to replace the conventional diagnostic applications. Kidney ultrasonography, used in the clinical examination of patients, provides information about the progression of kidney damage. Machine learning algorithms (MLAs) with promising results for the early detection of CKD have been proposed, but, still, they are not solid enough to be incorporated into the clinical practice. A few tools for glomerulonephritis, based on MLAs, are available in clinical practice. They can be downloaded on computers and cellular phones but can only be applied to uniracial cohorts of patients. To improve their performance, it is necessary to organize large consortia with multiracial cohorts. Finally, in many studies MLA development has been carried out using retrospective cohorts. The performance of the models might differ in retrospective cohorts compared to real-world data. Therefore, the models should be validated in prospective external large cohorts.

Published
2021

13. Oxalate Nephropathy Caused by Excessive Vitamin C Administration in 2 Patients With COVID-19

Author

Fontana, F., Cazzato, S., Giovanella, S., Ballestri, M., Leonelli, M., Mori, G., Alfano, G., Ligabue, G., Magistroni, R., Cenacchi, G., Antoniotti, R., Bonucchi, D., Cappelli, G., Fontana F., Cazzato S., Giovanella S., Ballestri M., Leonelli M., Mori G., Alfano G., Ligabue G., Magistroni R., Cenacchi G., Antoniotti R., Bonucchi D., and Cappelli G.

Subjects
antibiotic agentascorbic acidazithromycincalcium oxalateceftriaxonecitric acidcobicistat plus darunavirdaptomycinhydroxychloroquineinotropic agentlinezolidlopinavir plus ritonavirmeropenemoxacillinpiperacillin plus tazobactamsteroidtocilizumab
Abstract

[No abstract available]

Published
2020

14. Quantifying duration of proteinuria remission and association with clinical outcome in IgA nephropathy

Author

Canney, M., Barbour, S. J., Zheng, Y., Coppo, R., Zhang, H., Liu, Z. -H., Matsuzaki, K., Suzuki, Y., Katafuchi, R., Reich, H. N., Cattran, D., Russo, M. L., Troyanov, S., Cook, H. T., Roberts, I., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J. F. M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A. C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D'Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Kalliakmani, P., Gerolymos, M., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Mene, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M. E. J., Boria Grinyo, J. M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A. M., Gutierrez, E., Asunis, A. M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H. J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., Bavbek, N., Cook, T., Alpers, C., Feehally, J., Berthoux, F., Bonsib, S., D'Agati, V., D'Amico, G., Emancipator, S., Emmal, F., Fervenza, F., Florquin, S., Fogo, A., Groene, H., Haas, M., Hill, P., Hogg, R., Hsu, S., Hunley, T., Hladunewich, Jennette, C., Joh, K., Julian, B., Kawamura, T., Lai, F., Leung, C., Li, L., Li, P., Liu, Z., Massat, A., Mackinnon, B., Mezzano, S., Schena, F., Tomino, Y., Walker, P., Wang, H., Weening, J., Yoshikawa, N., Zeng, C. -H., Shi, S., Nogi, C., Suzuki, H., Koike, K., Hirano, K., Yokoo, T., Hanai, M., Fukami, K., Takahashi, K., Yuzawa, Y., Niwa, M., Yasuda, Y., Maruyama, S., Ichikawa, D., Suzuki, T., Shirai, S., Fukuda, A., Fujimoto, S., Trimarchi, H., Anesthesiology, Pathology, Graduate School, ACS - Heart failure & arrhythmias, and ACS - Atherosclerosis & ischemic syndromes

Subjects
Male, Time Factors, glomerular disease, 030232 urology & nephrology, 030204 cardiovascular system & hematology, Gastroenterology, 0302 clinical medicine, Outcome Assessment, Health Care, Clinical endpoint, Medicine, Clinical Epidemiology, Proteinuria, medicine.diagnostic_test, Remission Induction, Hazard ratio, IgA nephropathy, General Medicine, Middle Aged, end stage kidney disease, epidemiology and outcomes, proteinuria, renal function decline, renal pathology, 3. Good health, Renal pathology, Nephrology, Disease Progression, Female, medicine.symptom, Glomerular Filtration Rate, Adult, medicine.medical_specialty, Nephropathy, 03 medical and health sciences, Internal medicine, Biopsy, Humans, Proportional Hazards Models, Retrospective Studies, business.industry, Surrogate endpoint, Glomerulonephritis, IGA, medicine.disease, Confidence interval, Renal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11], Kidney Failure, Chronic, Renal disorders Radboud Institute for Health Sciences [Radboudumc 11], business
Abstract

Contains fulltext : 232930.pdf (Publisher’s version ) (Closed access) BACKGROUND: On the basis of findings of observational studies and a meta-analysis, proteinuria reduction has been proposed as a surrogate outcome in IgA nephropathy. How long a reduction in proteinuria needs to be maintained to mitigate the long-term risk of disease progression is unknown. METHODS: In this retrospective multiethnic cohort of adult patients with IgA nephropathy, we defined proteinuria remission as a ≥25% reduction in proteinuria from the peak value after biopsy, and an absolute reduction in proteinuria to

Published
2021

16. Quantifying duration of proteinuria remission and association with clinical outcome in IgA nephropathy

Author

Canney, M. Barbour, S.J. Zheng, Y. Coppo, R. Zhang, H. Liu, Z.-H. Matsuzaki, K. Suzuki, Y. Katafuchi, R. Reich, H.N. Cattran, D. Russo, M.L. Troyanov, S. Cook, H.T. Roberts, I. Tesar, V. Maixnerova, D. Lundberg, S. Gesualdo, L. Emma, F. Fuiano, L. Beltrame, G. Rollino, C. Amore, A. Camilla, R. Peruzzi, L. Praga, M. Feriozzi, S. Polci, R. Segoloni, G. Colla, L. Pani, A. Piras, D. Angioi, A. Cancarini, G. Ravera, S. Durlik, M. Moggia, E. Ballarin, J. Di Giulio, S. Pugliese, F. Serriello, I. Caliskan, Y. Sever, M. Kilicaslan, I. Locatelli, F. Del Vecchio, L. Wetzels, J.F.M. Peters, H. Berg, U. Carvalho, F. da Costa Ferreira, A.C. Maggio, M. Wiecek, A. Ots-Rosenberg, M. Magistroni, R. Topaloglu, R. Bilginer, Y. D'Amico, M. Stangou, M. Giacchino, F. Goumenos, D. Kalliakmani, P. Gerolymos, M. Galesic, K. Geddes, C. Siamopoulos, K. Balafa, O. Galliani, M. Stratta, P. Quaglia, M. Bergia, R. Cravero, R. Salvadori, M. Cirami, L. Fellstrom, B. Kloster Smerud, H. Ferrario, F. Stellato, T. Egido, J. Martin, C. Floege, J. Eitner, F. Lupo, A. Bernich, P. Menè, P. Morosetti, M. van Kooten, C. Rabelink, T. Reinders, M.E.J. Boria Grinyo, J.M. Cusinato, S. Benozzi, L. Savoldi, S. Licata, C. Mizerska-Wasiak, M. Martina, G. Messuerotti, A. Dal Canton, A. Esposito, C. Migotto, C. Triolo, G. Mariano, F. Pozzi, C. Boero, R. Bellur, S. Mazzucco, G. Giannakakis, C. Honsova, E. Sundelin, B. Di Palma, A.M. Gutiérrez, E. Asunis, A.M. Barratt, J. Tardanico, R. Perkowska-Ptasinska, A. Arce Terroba, J. Fortunato, M. Pantzaki, A. Ozluk, Y. Steenbergen, E. Soderberg, M. Riispere, Z. Furci, L. Orhan, D. Kipgen, D. Casartelli, D. Galesic Ljubanovic, D. Gakiopoulou, H. Bertoni, E. Cannata Ortiz, P. Karkoszka, H. Groene, H.J. Stoppacciaro, A. Bajema, I. Bruijn, J. Fulladosa Oliveras, X. Maldyk, J. Ioachim, E. Bavbek, N. Cook, T. Alpers, C. Feehally, J. Berthoux, F. Bonsib, S. D'Agati, V. D'Amico, G. Emancipator, S. Emmal, F. Fervenza, F. Florquin, S. Fogo, A. Groene, H. Haas, M. Hill, P. Hogg, R. Hsu, S. Hunley, T. Hladunewich Jennette, C. Joh, K. Julian, B. Kawamura, T. Lai, F. Leung, C. Li, L. Li, P. Liu, Z. Massat, A. Mackinnon, B. Mezzano, S. Schena, F. Tomino, Y. Walker, P. Wang, H. Weening, J. Yoshikawa, N. Zeng, C.-H. Shi, S. Nogi, C. Suzuki, H. Koike, K. Hirano, K. Yokoo, T. Hanai, M. Fukami, K. Takahashi, K. Yuzawa, Y. Niwa, M. Yasuda, Y. Maruyama, S. Ichikawa, D. Suzuki, T. Shirai, S. Fukuda, A. Fujimoto, S. Trimarchi, H. International IgA Nephropathy Network

Abstract

Background On the basis of findings of observational studies and a meta-analysis, proteinuria reduction has been proposed as a surrogate outcome in IgA nephropathy. How long a reduction in proteinuria needs to be maintained to mitigate the long-term risk of disease progression is unknown. Methods In this retrospective multiethnic cohort of adult patients with IgA nephropathy, we defined proteinuria remission as a $25% reduction in proteinuria from the peak value after biopsy, and an absolute reduction in proteinuria to,1 g/d. The exposure of interest was the total duration of first remission, treated as a time-varying covariate using longitudinal proteinuria measurements. We used time-dependent Cox proportional hazards regression models to quantify the association between the duration of remission and the primary outcome (ESKD or a 50% reduction in eGFR). Results During a median follow-up of 3.9 years, 274 of 1864 patients (14.7%) experienced the primary outcome. The relationship between duration of proteinuria remission and outcome was nonlinear. Each 3 months in sustained remission up to approximately 4 years was associated with an additional 9% reduction in the risk of disease progression (hazard ratio [HR], 0.91; 95% confidence interval [95% CI], 0.89 to 0.93). Thereafter, each additional 3 months in remission was associated with a smaller, nonsignificant risk reduction (HR, 0.99; 95% CI, 0.96 to 1.03). These findings were robust to multivariable adjustment and consistent across clinical and histologic subgroups. Conclusions Our findings support the use of proteinuria as a surrogate outcome in IgA nephropathy, but additionally demonstrate the value of quantifying the duration of proteinuria remission when estimating the risk of hard clinical endpoints. Copyright © 2021 by the American Society of Nephrology.

Published
2021

18. Improving treatment decisions using personalized risk assessment from the International IgA Nephropathy Prediction Tool

Author

Barbour, Sean J., primary, Canney, Mark, additional, Coppo, Rosanna, additional, Zhang, Hong, additional, Liu, Zhi-Hong, additional, Suzuki, Yusuke, additional, Matsuzaki, Keiichi, additional, Katafuchi, Ritsuko, additional, Induruwage, Dilshani, additional, Er, Lee, additional, Reich, Heather N., additional, Feehally, John, additional, Barratt, Jonathan, additional, Cattran, Daniel C., additional, Russo, M.L., additional, Troyanov, S., additional, Cook, H.T., additional, Roberts, I., additional, Tesar, V., additional, Maixnerova, D., additional, Lundberg, S., additional, Gesualdo, L., additional, Emma, F., additional, Fuiano, L., additional, Beltrame, G., additional, Rollino, C., additional, Amore, A., additional, Camilla, R., additional, Peruzzi, L., additional, Praga, M., additional, Feriozzi, S., additional, Polci, R., additional, Segoloni, G., additional, Colla, L., additional, Pani, A., additional, Piras, D., additional, Angioi, A., additional, Cancarini, G., additional, Ravera, S., additional, Durlik, M., additional, Moggia, E., additional, Ballarin, J., additional, Di Giulio, S., additional, Pugliese, F., additional, Serriello, I., additional, Caliskan, Y., additional, Sever, M., additional, Kilicaslan, I., additional, Locatelli, F., additional, Del Vecchio, L., additional, Wetzels, J.F.M., additional, Peters, H., additional, Berg, U., additional, Carvalho, F., additional, da Costa Ferreira, A.C., additional, Maggio, M., additional, Wiecek, A., additional, Ots-Rosenberg, M., additional, Magistroni, R., additional, Topaloglu, R., additional, Bilginer, Y., additional, D’Amico, M., additional, Stangou, M., additional, Giacchino, F., additional, Goumenos, D., additional, Kalliakmani, P., additional, Gerolymos, M., additional, Galesic, K., additional, Geddes, C., additional, Siamopoulos, K., additional, Balafa, O., additional, Galliani, M., additional, Stratta, P., additional, Quaglia, M., additional, Bergia, R., additional, Cravero, R., additional, Salvadori, M., additional, Cirami, L., additional, Fellstrom, B., additional, Kloster Smerud, H., additional, Ferrario, F., additional, Stellato, T., additional, Egido, J., additional, Martin, C., additional, Floege, J., additional, Eitner, F., additional, Lupo, A., additional, Bernich, P., additional, Menè, P., additional, Morosetti, M., additional, van Kooten, C., additional, Rabelink, T., additional, Reinders, M.E.J., additional, Boria Grinyo, J.M., additional, Cusinato, S., additional, Benozzi, L., additional, Savoldi, S., additional, Licata, C., additional, Mizerska-Wasiak, M., additional, Martina, G., additional, Messuerotti, A., additional, Dal Canton, A., additional, Esposito, C., additional, Migotto, C., additional, Triolo, G., additional, Mariano, F., additional, Pozzi, C., additional, Boero, R., additional, Bellur, S., additional, Mazzucco, G., additional, Giannakakis, C., additional, Honsova, E., additional, Sundelin, B., additional, Di Palma, A.M., additional, Gutiérrez, E., additional, Asunis, A.M., additional, Barratt, J., additional, Tardanico, R., additional, Perkowska-Ptasinska, A., additional, Arce Terroba, J., additional, Fortunato, M., additional, Pantzaki, A., additional, Ozluk, Y., additional, Steenbergen, E., additional, Soderberg, M., additional, Riispere, Z., additional, Furci, L., additional, Orhan, D., additional, Kipgen, D., additional, Casartelli, D., additional, Galesic Ljubanovic, D., additional, Gakiopoulou, H., additional, Bertoni, E., additional, Cannata Ortiz, P., additional, Karkoszka, H., additional, Groene, H.J., additional, Stoppacciaro, A., additional, Bajema, I., additional, Bruijn, J., additional, Fulladosa Oliveras, X., additional, Maldyk, J., additional, Ioachim, E., additional, Bavbek, N., additional, Cook, T., additional, Alpers, C., additional, Berthoux, F., additional, Bonsib, S., additional, D’Agati, V., additional, D’Amico, G., additional, Emancipator, S., additional, Emmal, F., additional, Fervenza, F., additional, Florquin, S., additional, Fogo, A., additional, Groene, H., additional, Haas, M., additional, Hill, P., additional, Hogg, R., additional, Hsu, S., additional, Hunley, T., additional, Hladunewich, M., additional, Jennette, C., additional, Joh, K., additional, Julian, B., additional, Kawamura, T., additional, Lai, F., additional, Leung, C., additional, Li, L., additional, Li, P., additional, Liu, Z., additional, Massat, A., additional, Mackinnon, B., additional, Mezzano, S., additional, Schena, F., additional, Tomino, Y., additional, Walker, P., additional, Wang, H., additional, Weening, J., additional, Yoshikawa N, N., additional, Zeng, C.-H., additional, Shi, S., additional, Nogi, C., additional, Suzuki, H., additional, Koike, K., additional, Hirano, K., additional, Yokoo, T., additional, Hanai, M., additional, Fukami, K., additional, Takahashi, K., additional, Yuzawa, Y., additional, Niwa, M., additional, Yasuda, Y., additional, Maruyama, S., additional, Ichikawa, D., additional, Suzuki, T., additional, Shirai, S., additional, Fukuda, A., additional, Fujimoto, S., additional, and Trimarchi, H., additional

Published
2020
Full Text
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19. Reproducibility of the Oxford classification of immunoglobulin A nephropathy, impact of biopsy scoring on treatment allocation and clinical relevance of disagreements: Evidence from the VALidation of IGA study cohort

Author

Bellur, S.S. Roberts, I.S.D. Troyanov, S. Royal, V. Coppo, R. Cook, H.T. Cattran, D. Terroba, Y.A. Asunis, A.M. Bajema, I. Bertoni, E. Bruijn, J.A. Cannata-Ortiz, P. Casartelli, D. Di Palma, A.M. Ferrario, F. Fortunato, M. Furci, L. Gakiopoulou, H. Ljubanovic, D.G. Giannakakis, K. Gomá, M. Gröne, H.-J. Gutiérrez, E. Haider, S.A. Honsova, E. Ioachim, E. Karkoszka, H. Kipgen, D. Maldyk, J. Mazzucco, G. Orhan, D. Ozluk, Y. Pantzaki, A. Perkowska-Ptasinska, A. Riispere, Z. Soderberg, M.P. Steenbergen, E. Stoppacciaro, A. Von Feilitzen, B.S. Tardanico, R. Tesar, V. Maixnerova, D. Lundberg, S. Gesualdo, L. Emma, F. Fuiano, L. Beltrame, G. Rollino, C. Coppo, R. Amore, A. Camilla, R. Peruzzi, L. Praga, M. Feriozzi, S. Polci, R. Segoloni, G. Colla, L. Pani, A. Angioi, A. Piras, L. Feehally, J. Barratt, J. Cancarini, G. Ravera, S. Durlik, M. Moggia, E. Ballarin, J. Di Giulio, S. Pugliese, F. Serriello, I. Caliskan, Y. Sever, M. Locatelli, F. Del Vecchio, L. Wetzels, J.F.M. Peters, H. Berg, U. Carvalho, F. da Costa Ferreira, A.C. Maggio, M. Wiecek, A. Ots-Rosenberg, M. Magistroni, R. Topaloglu, R. Bilginer, Y. D'Amico, M. Stangou, M. Giacchino, F. Goumenos, D. Kalliakmani, P. Gerolymos, M. Galesic, K. Geddes, C. Siamopoulos, K. Balafa, O. Galliani, M. Stratta, P. Quaglia, M. Bergia, R. Cravero, R. Salvadori, M. Cirami, L. Fellstrom, B. Kloster Smerud, H. Ferrario, F. Stellato, T. Egido, J. Martin, C. Floege, J. Eitner, F. Lupo, A. Bernich, P. Menè, P. Morosetti, M. van Kooten, C. Rabelink, T. Reinders, M.E.J. Grinyo, J.M. Fulladosa, X. Cusinato, S. Benozzi, L. Savoldi, S. Licata, C. Mizerska-Wasiak, M. Roszkowska-Blaim, M. Martina, G. Messuerotti, A. Dal Canton, A. Esposito, C. Migotto, C. Triolo, G. Mariano, F. Pozzi, C. Boero, R. Kilicaslan, I.

Abstract

Background: The VALidation of IGA (VALIGA) study investigated the utility of the Oxford Classification of immunoglobulin A nephropathy (IgAN) in 1147 patients from 13 European countries. Methods. Biopsies were scored by local pathologists followed by central review in Oxford. We had two distinct objectives: to assess how closely pathology findings were associated with the decision to give corticosteroid/immunosuppressive (CS/IS) treatments, and to determine the impact of differences in MEST-C scoring between central and local pathologists on the clinical value of the Oxford Classification. We tested for each lesion the associations between the type of agreement (local and central pathologists scoring absent, local present and central absent, local absent and central present, both scoring present) with the initial clinical assessment, as well as long-term outcomes in those patients who did not receive CS/IS. Results: All glomerular lesions (M, E, C and S) assessed by local pathologists were independently associated with the decision to administer CS/IS therapy, while the severity of tubulointerstitial lesions was not. Reproducibility between local and central pathologists was moderate for S (segmental sclerosis) and T (tubular atrophy/interstitial fibrosis), and poor for M (mesangial hypercellularity), E (endocapillary hypercellularity) and C (crescents). Local pathologists found statistically more of each lesion, except for the S lesion, which was more frequent with central review. Disagreements were more likely to occur when the proportion of glomeruli affected was low. The M lesion, assessed by central pathologists, correlated better with the severity of the disease at presentation and discriminated better with outcomes. In contrast, the E lesion, evaluated by local pathologists, correlated better with the clinical presentation and outcomes when compared with central review. Both C and S lesions, when discordant between local and central pathologists, had a clinical phenotype intermediate to double absent lesions (milder disease) and double present (more severe). Conclusion: We conclude that differences in the scoring of MEST-C criteria between local pathologists and a central reviewer have a significant impact on the prognostic value of the Oxford Classification. Since the decision to offer immunosuppressive therapy in this cohort was intimately associated with the MEST-C score, this study indicates a need for a more detailed guidance for pathologists in the scoring of IgAN biopsies. © 2018 The Author(s) 2018. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Published
2019

20. Evaluating a New International Risk-Prediction Tool in IgA Nephropathy

Author

Barbour, S.J., Coppo, R., Zhang, H., Liu, Z.H., Suzuki, Y., Matsuzaki, K., Katafuchi, R., Er, L., Espino-Hernandez, G., Kim, S.J., Reich, H.N., Feehally, J., Cattran, D.C., Russo, M.L., Troyanov, S., Cook, H.T., Roberts, I., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Giulio, S. di, Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Vecchio, L. del, Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., Ferreira, A.C.D., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D'Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Kalliakmani, P., Gerolymos, M., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrorn, B., Smerud, H.K., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Mene, R., Morosetti, M., Kooten, C. van, Rabelink, T., Reinders, M.E.J., Grinyo, J.M.B., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Canton, A. dal, Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Palma, A.M. di, Gutierrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Terroba, J.A., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Ljubanovic, D.G., Gakiopoulou, H., Bertoni, E., Ortiz, P.C., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Oliveras, X.F., Maldyk, J., Loachim, E., Bavbek, N., Cook, T., Alpers, C., Berthoux, F., Bonsib, S., D'Agati, V., D'Amico, G., Emancipator, S., Emmal, F., Fervenza, F., Florquin, S., Fogo, A., Groene, H., Haas, M., Hill, P., Hogg, R., Hsu, S., Hunley, T., Hladunewich, Jennette, C., Joh, K., Julian, B., Kawamura, T., Lai, F., Leung, C., Li, L., Li, P., Liu, Z., Massat, A., Mackinnon, B., Mezzano, S., Schena, F., Tomino, Y., Walker, P., Wang, H., Weening, J., Yoshikawa, N., Zeng, C.H., Shi, S.F., Nogi, C., Suzuki, H., Koike, K., Hirano, K., Yokoo, T., Hanai, M., Fukami, K., Takahashi, K., Yuzawa, Y., Niwa, M., Yasuda, Y., Maruyama, S., Ichikawa, D., Suzuki, T., Shirai, S., Fukuda, A., Fujimoto, S., Trimarchi, H., Int IgA Nephropathy Network, and Pathology

Subjects
Adult, Male, medicine.medical_specialty, Risk Assessment, 01 natural sciences, Nephropathy, 03 medical and health sciences, 0302 clinical medicine, Interquartile range, Internal medicine, Internal Medicine, Humans, Medicine, 030212 general & internal medicine, 0101 mathematics, business.industry, Proportional hazards model, Clinical study design, 010102 general mathematics, Glomerulonephritis, IGA, Middle Aged, Models, Theoretical, medicine.disease, Clinical trial, Cohort, Female, business, Risk assessment, Kidney disease
Abstract

ImportanceAlthough IgA nephropathy (IgAN) is the most common glomerulonephritis in the world, there is no validated tool to predict disease progression. This limits patient-specific risk stratification and treatment decisions, clinical trial recruitment, and biomarker validation. ObjectiveTo derive and externally validate a prediction model for disease progression in IgAN that can be applied at the time of kidney biopsy in multiple ethnic groups worldwide. Design, Setting, and ParticipantsWe derived and externally validated a prediction model using clinical and histologic risk factors that are readily available in clinical practice. Large, multi-ethnic cohorts of adults with biopsy-proven IgAN were included from Europe, North America, China, and Japan. Main Outcomes and MeasuresCox proportional hazards models were used to analyze the risk of a 50% decline in estimated glomerular filtration rate (eGFR) or end-stage kidney disease, and were evaluated using the R-D(2) measure, Akaike information criterion (AIC), C statistic, continuous net reclassification improvement (NRI), integrated discrimination improvement (IDI), and calibration plots. ResultsThe study included 3927 patients; mean age, 35.4 (interquartile range, 28.0-45.4) years; and 2173 (55.3%) were men. The following prediction models were created in a derivation cohort of 2781 patients: a clinical model that included eGFR, blood pressure, and proteinuria at biopsy; and 2 full models that also contained the MEST histologic score, age, medication use, and either racial/ethnic characteristics (white, Japanese, or Chinese) or no racial/ethnic characteristics, to allow application in other ethnic groups. Compared with the clinical model, the full models with and without race/ethnicity had better R-D(2) (26.3% and 25.3%, respectively, vs 20.3%) and AIC (6338 and 6379, respectively, vs 6485), significant increases in C statistic from 0.78 to 0.82 and 0.81, respectively (Delta C, 0.04; 95% CI, 0.03-0.04 and Delta C, 0.03; 95% CI, 0.02-0.03, respectively), and significant improvement in reclassification as assessed by the NRI (0.18; 95% CI, 0.07-0.29 and 0.51; 95% CI, 0.39-0.62, respectively) and IDI (0.07; 95% CI, 0.06-0.08 and 0.06; 95% CI, 0.05-0.06, respectively). External validation was performed in a cohort of 1146 patients. For both full models, the C statistics (0.82; 95% CI, 0.81-0.83 with race/ethnicity; 0.81; 95% CI, 0.80-0.82 without race/ethnicity) and R-D(2) (both 35.3%) were similar or better than in the validation cohort, with excellent calibration. Conclusions and RelevanceIn this study, the 2 full prediction models were shown to be accurate and validated methods for predicting disease progression and patient risk stratification in IgAN in multi-ethnic cohorts, with additional applications to clinical trial design and biomarker research.

Published
2019

21. Evaluating a New International Risk-Prediction Tool in IgA Nephropathy

Author

Barbour, Sean J. Coppo, Rosanna Zhang, Hong Liu, Zhi-Hong and Suzuki, Yusuke Matsuzaki, Keiichi Katafuchi, Ritsuko Er, Lee Espino-Hernandez, Gabriela Kim, S. Joseph Reich, Heather N. Feehally, John Cattran, Daniel C. Russo, M. L. and Troyanov, S. Cook, H. T. Roberts, I. Tesar, V. and Maixnerova, D. Lundberg, S. Gesualdo, L. Emma, F. and Fuiano, L. Beltrame, G. Rollino, C. Amore, A. Camilla, R. Peruzzi, L. Praga, M. Feriozzi, S. Polci, R. and Segoloni, G. Colla, L. Pani, A. Piras, D. Angioi, A. and Cancarini, G. Ravera, S. Durlik, M. Moggia, E. Ballarin, J. Di Giulio, S. Pugliese, F. Serriello, I. Caliskan, Y. and Sever, M. Kilicaslan, I. Locatelli, F. Del Vecchio, L. and Wetzels, J. F. M. Peters, H. Berg, U. Carvalho, F. and da Costa Ferreira, A. C. Maggio, M. Wiecek, A. and Ots-Rosenberg, M. Magistroni, R. Topaloglu, R. Bilginer, Y. and D'Amico, M. Stangou, M. Giacchino, F. Goumenos, D. and Kalliakmani, P. Gerolymos, M. Galesic, K. Geddes, C. and Siamopoulos, K. Balafa, O. Galliani, M. Stratta, P. and Quaglia, M. Bergia, R. Cravero, R. Salvadori, M. Cirami, L. Fellstrorn, B. Smerud, H. Kloster Ferrario, F. and Stellato, T. Egido, J. Martin, C. Floege, J. Eitner, F. and Lupo, A. Bernich, P. Mene, R. Morosetti, M. van Kooten, C. Rabelink, T. Reinders, M. E. J. Boria Grinyo, J. M. Cusinato, S. Benozzi, L. Savoldi, S. Licata, C. and Mizerska-Wasiak, M. Martina, G. Messuerotti, A. Dal Canton, A. Esposito, C. Migotto, C. Triolo, G. Mariano, F. and Pozzi, C. Boero, R. Bellur, S. Mazzucco, G. Giannakakis, C. Honsova, E. Sundelin, B. Di Palma, A. M. Ferrario, F. and Gutierrez, E. Asunis, A. M. Barratt, J. Tardanico, R. and Perkowska-Ptasinska, A. Arce Terroba, J. Fortunato, M. and Pantzaki, A. Ozluk, Y. Steenbergen, E. Soderberg, M. and Riispere, Z. Furci, L. Orhan, D. Kipgen, D. Casartelli, D. Ljubanovic, D. Galesic Gakiopoulou, H. Bertoni, E. and Cannata Ortiz, P. Karkoszka, H. Groene, H. J. Stoppacciaro, A. Bajema, I. Bruijn, J. Fulladosa Oliveras, X. Maldyk, J. Loachim, E. Bavbek, N. Cook, T. Troyanov, S. and Alpers, C. Amore, A. Barratt, J. Berthoux, F. Bonsib, S. and Bruijn, J. D'Agati, V D'Amico, G. Emancipator, S. and Emmal, F. Ferrario, F. Fervenza, F. Florquin, S. Fogo, A. Geddes, C. Groene, H. Haas, M. Hill, P. Hogg, R. and Hsu, S. Hunley, T. Hladunewich Jennette, C. Joh, K. and Julian, B. Kawamura, T. Lai, F. Leung, C. Li, L. and Li, P. Liu, Z. Massat, A. Mackinnon, B. Mezzano, S. and Schena, F. Tomino, Y. Walker, P. Wang, H. Weening, J. and Yoshikawa, N. Zeng, Cai-Hong Shi, Sufang Nogi, C. and Suzuki, H. Koike, K. Hirano, K. Kawamura, T. Yokoo, T. and Hanai, M. Fukami, K. Takahashi, K. Yuzawa, Y. Niwa, M. Yasuda, Y. Maruyama, S. Ichikawa, D. Suzuki, T. and Shirai, S. Fukuda, A. Fujimoto, S. Trimarchi, H. Int IgA Nephropathy Network

Abstract

ImportanceAlthough IgA nephropathy (IgAN) is the most common glomerulonephritis in the world, there is no validated tool to predict disease progression. This limits patient-specific risk stratification and treatment decisions, clinical trial recruitment, and biomarker validation. ObjectiveTo derive and externally validate a prediction model for disease progression in IgAN that can be applied at the time of kidney biopsy in multiple ethnic groups worldwide. Design, Setting, and ParticipantsWe derived and externally validated a prediction model using clinical and histologic risk factors that are readily available in clinical practice. Large, multi-ethnic cohorts of adults with biopsy-proven IgAN were included from Europe, North America, China, and Japan. Main Outcomes and MeasuresCox proportional hazards models were used to analyze the risk of a 50% decline in estimated glomerular filtration rate (eGFR) or end-stage kidney disease, and were evaluated using the R-D(2) measure, Akaike information criterion (AIC), C statistic, continuous net reclassification improvement (NRI), integrated discrimination improvement (IDI), and calibration plots. ResultsThe study included 3927 patients; mean age, 35.4 (interquartile range, 28.0-45.4) years; and 2173 (55.3%) were men. The following prediction models were created in a derivation cohort of 2781 patients: a clinical model that included eGFR, blood pressure, and proteinuria at biopsy; and 2 full models that also contained the MEST histologic score, age, medication use, and either racial/ethnic characteristics (white, Japanese, or Chinese) or no racial/ethnic characteristics, to allow application in other ethnic groups. Compared with the clinical model, the full models with and without race/ethnicity had better R-D(2) (26.3% and 25.3%, respectively, vs 20.3%) and AIC (6338 and 6379, respectively, vs 6485), significant increases in C statistic from 0.78 to 0.82 and 0.81, respectively (Delta C, 0.04; 95% CI, 0.03-0.04 and Delta C, 0.03; 95% CI, 0.02-0.03, respectively), and significant improvement in reclassification as assessed by the NRI (0.18; 95% CI, 0.07-0.29 and 0.51; 95% CI, 0.39-0.62, respectively) and IDI (0.07; 95% CI, 0.06-0.08 and 0.06; 95% CI, 0.05-0.06, respectively). External validation was performed in a cohort of 1146 patients. For both full models, the C statistics (0.82; 95% CI, 0.81-0.83 with race/ethnicity; 0.81; 95% CI, 0.80-0.82 without race/ethnicity) and R-D(2) (both 35.3%) were similar or better than in the validation cohort, with excellent calibration. Conclusions and RelevanceIn this study, the 2 full prediction models were shown to be accurate and validated methods for predicting disease progression and patient risk stratification in IgAN in multi-ethnic cohorts, with additional applications to clinical trial design and biomarker research.

Published
2019

22. Evaluating a New International Risk-Prediction Tool in IgA Nephropathy

Author

Barbour, Sean J., Coppo, Rosanna, Zhang, Hong, Liu, Zhi-Hong, Suzuki, Yusuke, Matsuzaki, Keiichi, Katafuchi, Ritsuko, Er, Lee, Espino-Hernandez, Gabriela, Kim, S. Joseph, Reich, Heather N., Feehally, John, Cattran, Daniel C., Russo, M. L., Troyanov, S., Cook, H. T., Roberts, I., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J. F. M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A. C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D'Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Kalliakmani, P., Gerolymos, M., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellström, Bengt, Smerud, Hilde Kloster, Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Mene, R., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M. E. J., Boria Grinyo, J. M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A. M., Gutierrez, E., Asunis, A. M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Ljubanovic, D. Galesic, Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H. J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Loachim, E., Bavbek, N., Cook, T., Alpers, C., Berthoux, F., Bonsib, S., D'Agati, V, D'Amico, G., Emancipator, S., Emmal, F., Fervenza, F., Florquin, S., Fogo, A., Groene, H., Haas, M., Hill, P., Hogg, R., Hsu, S., Hunley, T., Hladunewich, M., Jennette, C., Joh, K., Julian, B., Kawamura, T., Lai, F., Leung, C., Li, L., Li, P., Liu, Z., Massat, A., Mackinnon, B., Mezzano, S., Schena, F., Tomino, Y., Walker, P., Wang, H., Weening, J., Yoshikawa, N., Zeng, Cai-Hong, Shi, Sufang, Nogi, C., Suzuki, H., Koike, K., Hirano, K., Yokoo, T., Hanai, M., Fukami, K., Takahashi, K., Yuzawa, Y., Niwa, M., Yasuda, Y., Maruyama, S., Ichikawa, D., Suzuki, T., Shirai, S., Fukuda, A., Fujimoto, S., Trimarchi, H., Barbour, Sean J., Coppo, Rosanna, Zhang, Hong, Liu, Zhi-Hong, Suzuki, Yusuke, Matsuzaki, Keiichi, Katafuchi, Ritsuko, Er, Lee, Espino-Hernandez, Gabriela, Kim, S. Joseph, Reich, Heather N., Feehally, John, Cattran, Daniel C., Russo, M. L., Troyanov, S., Cook, H. T., Roberts, I., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J. F. M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A. C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D'Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Kalliakmani, P., Gerolymos, M., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellström, Bengt, Smerud, Hilde Kloster, Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Mene, R., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M. E. J., Boria Grinyo, J. M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A. M., Gutierrez, E., Asunis, A. M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Ljubanovic, D. Galesic, Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H. J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Loachim, E., Bavbek, N., Cook, T., Alpers, C., Berthoux, F., Bonsib, S., D'Agati, V, D'Amico, G., Emancipator, S., Emmal, F., Fervenza, F., Florquin, S., Fogo, A., Groene, H., Haas, M., Hill, P., Hogg, R., Hsu, S., Hunley, T., Hladunewich, M., Jennette, C., Joh, K., Julian, B., Kawamura, T., Lai, F., Leung, C., Li, L., Li, P., Liu, Z., Massat, A., Mackinnon, B., Mezzano, S., Schena, F., Tomino, Y., Walker, P., Wang, H., Weening, J., Yoshikawa, N., Zeng, Cai-Hong, Shi, Sufang, Nogi, C., Suzuki, H., Koike, K., Hirano, K., Yokoo, T., Hanai, M., Fukami, K., Takahashi, K., Yuzawa, Y., Niwa, M., Yasuda, Y., Maruyama, S., Ichikawa, D., Suzuki, T., Shirai, S., Fukuda, A., Fujimoto, S., and Trimarchi, H.

Abstract

Importance Although IgA nephropathy (IgAN) is the most common glomerulonephritis in the world, there is no validated tool to predict disease progression. This limits patient-specific risk stratification and treatment decisions, clinical trial recruitment, and biomarker validation. Objective To derive and externally validate a prediction model for disease progression in IgAN that can be applied at the time of kidney biopsy in multiple ethnic groups worldwide. Design, Setting, and Participants We derived and externally validated a prediction model using clinical and histologic risk factors that are readily available in clinical practice. Large, multi-ethnic cohorts of adults with biopsy-proven IgAN were included from Europe, North America, China, and Japan. Main Outcomes and Measures Cox proportional hazards models were used to analyze the risk of a 50% decline in estimated glomerular filtration rate (eGFR) or end-stage kidney disease, and were evaluated using the R2D measure, Akaike information criterion (AIC), C statistic, continuous net reclassification improvement (NRI), integrated discrimination improvement (IDI), and calibration plots. Results The study included 3927 patients; mean age, 35.4 (interquartile range, 28.0-45.4) years; and 2173 (55.3%) were men. The following prediction models were created in a derivation cohort of 2781 patients: a clinical model that included eGFR, blood pressure, and proteinuria at biopsy; and 2 full models that also contained the MEST histologic score, age, medication use, and either racial/ethnic characteristics (white, Japanese, or Chinese) or no racial/ethnic characteristics, to allow application in other ethnic groups. Compared with the clinical model, the full models with and without race/ethnicity had better R2D (26.3% and 25.3%, respectively, vs 20.3%) and AIC (6338 and 6379, respectively, vs 6485), significant increases in C statistic from 0.78 to 0.82 and 0.81, respectively (ΔC, 0.04; 95% CI, 0.03-0.04 and ΔC, 0.03

Published
2019
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23. A Review of the Imaging Techniques for Measuring Kidney and Cyst Volume in Establishing Autosomal Dominant Polycystic Kidney Disease Progression

Author

Magistroni R., Corsi C., Martí T., and Torra R.

Subjects
kidney, diagnostic imaging, genotype, Review, computer assisted tomography, Predictive Value of Tests, x-ray computed tomography, Image Processing, Computer-Assisted, Humans, human, procedures, nuclear magnetic resonance imaging, end stage renal disease, pathophysiology, Ultrasonography, clinical article, Clinical Trials as Topic, predictive value, literature, echography, imaging, clinical trial (topic), organ size, chronic kidney failure, Polycystic Kidney, Autosomal Dominant, Prognosis, Magnetic Resonance Imaging, image processing, kidney polycystic disease, age, priority journal, tumor volume, disease exacerbation, stereology, Disease Progression, Kidney Failure, Chronic, pathology, measurement accuracy, Tomography, X-Ray Computed
Abstract

Background: Autosomal dominant polycystic kidney disease (ADPKD) is the commonest inherited renal disorder; it is defined by progressive renal cyst formation and subsequent renal enlargement that leads to end-stage renal disease. Until recently, only symptomatic treatments for ADPKD existed. However, therapies that address the underlying pathophysiology of ADPKD are now available and accurate identification of the rate of disease progression is essential. Summary: Published data on the different imaging modalities for measuring kidney and cyst volumes in ADPKD are reviewed. The advantages and drawbacks of the different techniques for calculating kidney volume from renal imaging are also examined, including the use of manual planimetry, stereology, and the ellipsoid equation, as well as the prospect of semi- and fully automatic techniques. The translation of these approaches into clinical practice and their role in informing treatment decisions is discussed. Key Messages: These new therapies require the accurate monitoring of disease progression, which along with diagnosis and prognosis, relies on the effective use of renal imaging techniques. There is growing support for the use of total kidney volume as a measure of cyst burden and as a prognostic predictor of renal function in ADPKD, showing promise as a marker of disease progression. © 2018 S. Karger AG, Basel. Copyright: All rights reserved.

Published
2018
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24. Tolvaptan in Patients with Autosomal Dominant Polycystic Kidney Disease

Author

Torres VE, Chapman AB, Devuyst O, Gansevoort RT, Grantham JJ, Higashihara E, Perrone RD, Krasa HB, Ouyang J, Czerwiec FS, Tempo team, Gross P, Schulze B, Bichet D, Chauveau D, Peeters P, Voiculescu M, Manunta P, Tuazon J, Watnick T, Goral S, Horie S, Nutahara K, Torres V, Chapman A, Gansevoort R, Perrone R, Czerwiec F, Goldstein S, Cowley B, Fukagawa M, Torra R, Wei LJ, Cook T, Toto R, Agarwal R, August P, Bakris G, Beddhu S, Corwin H, Ruilope L, Rosa-Diez G, De La Fuente J, Martin R, Massari P, Novoa P, Rial M, Wasserman A, Faull R, Fraser I, Johnson D, Pedagagos E, Lian M, Pollock C, Cooper B, Rangan G, Russ G, McDonald S, Thomas M, Khoo D, Walker R, Pirson Y, Laecke V, Van der Niepen P, Sennesael J, Barre P, Alam A, Soroka S, Dieperink H, Strandgaard S, Petersen L, Berthoux F, Canaud B, Gontiers-Picard A, Huart A, Combe C, Delmas Y, Dussol B, Laville M, Guebre-Egziabher F, Mignon F, Michel C, Rieu P, Noel N, Ryckelynck J, Lobbedez T, Dellanna F, Kleophas W, Feldkamp T, Witzke O, Nurnberger J, Zeltner R, Walz G, Zeier M, Sommerer C, Bianchi S, Capasso G, Miranda N, Magistroni R, Bracale M, Remuzzi G, Rota S, Villa G, Tilocca P, Asahi K, Kato T, Endo M, Umezono T, Fujigaki Y, Kato A, Fukatsu A, Hasegawa H, Tayama Y, Hasegawa M, Hosoya T, Hanaoka K, Iehara N, Iino Y, Tsuruoka S, Imai E, Isaka Y, Ishimura E, Ito S, Sato H, Kamata K, Sakamoto H, Kamura K, Kusano E, Muto S, Kuwahara M, Matsubara A, Yorioka N, Mochizuki T, Narita I, Naya Y, Nihei N, Yukio N, Nishio S, Nitta K, Tsuchiya K, Okamura M, Sasaki S, Rai T, Seta K, Sugawara A, Shibazaki S, Sugiyama S, Tabei K, Takaichi K, Tomita K, Kitamura K, Tsukamoto Y, Tsuruya K, Nakano T, Ubara Y, Watanabe T, Yamamoto T, Yoshida K, Ishii D, Yuzawa Y, Meijer E, Vervloet M, Ciechanowski K, Wisniewska M, Gutowska-Jablonska M, Marcinkowska-Królewicz M, Klatko W, Wiśniewski T, Klinger M, Krajewska M, Ksiazek A, Orłowska G, Malecki R, Gontarek-Kacprzak J, Nowicki M, Makówka A, Rutkowski B, Wołyniec W, Rydzewski A, Sulowicz W, Jasik P, Covic A, Volovat C, Mircescu G, Petrescu L, Bobeica R, Barbarash O, Chesnokova L, Borovoy S, Demina L, Shostka G, Idovu M, Tkalich L, Geynits O, Tomilina N, Foggensteiner L, Holt S, Kingswood J, Lambie S, Peel R, MacDougall I, Tucker B, MacPhee I, Maxwell A, Brown H, Mikhail A, Bastin L, Turner N, Neary J, Wheeler D, Maxwell P, Wilkie M, Ong A, Zehnder D, Aldridge N, Adler S, Klein M, Battle D, Bennett W, Berger B, Dell K, Blumenfeld J, Donahue S, Bolin P, Browder R, Perry A, Oskoui F, Culpepper M, Dahl N, Edelstein C, Clegg L, Fischer D, Kaplan M, Kaveh K, Pankhaniya R, Koren M, Mansur K, Lafayette R, Lamar W, Lee J, Mahnensmith R, Nachman P, Mottl A, Miskulin D, Petersen J, Radhakrishnan J, Roppolo M, Basireddy M, Rosner M, Bolton W, Schulman G, Steed L, Steinman T, Hogan M, Venuto R, Turban S, Winklhofer F., Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Torres, Ve, Chapman, Ab, Devuyst, O, Gansevoort, Rt, Grantham, Jj, Higashihara, E, Perrone, Rd, Krasa, Hb, Ouyang, J, Czerwiec, F, Tempo, Team, Gross, P, Schulze, B, Bichet, D, Chauveau, D, Peeters, P, Voiculescu, M, Manunta, P, Tuazon, J, Watnick, T, Goral, S, Horie, S, Nutahara, K, Torres, V, Chapman, A, Gansevoort, R, Perrone, R, Goldstein, S, Cowley, B, Fukagawa, M, Torra, R, Wei, Lj, Cook, T, Toto, R, Agarwal, R, August, P, Bakris, G, Beddhu, S, Corwin, H, Ruilope, L, Rosa-Diez, G, De La Fuente, J, Martin, R, Massari, P, Novoa, P, Rial, M, Wasserman, A, Faull, R, Fraser, I, Johnson, D, Pedagagos, E, Lian, M, Pollock, C, Cooper, B, Rangan, G, Russ, G, Mcdonald, S, Thomas, M, Khoo, D, Walker, R, Pirson, Y, Laecke, V, Van der Niepen, P, Sennesael, J, Barre, P, Alam, A, Soroka, S, Dieperink, H, Strandgaard, S, Petersen, L, Berthoux, F, Canaud, B, Gontiers-Picard, A, Huart, A, Combe, C, Delmas, Y, Dussol, B, Laville, M, Guebre-Egziabher, F, Mignon, F, Michel, C, Rieu, P, Noel, N, Ryckelynck, J, Lobbedez, T, Dellanna, F, Kleophas, W, Feldkamp, T, Witzke, O, Nurnberger, J, Zeltner, R, Walz, G, Zeier, M, Sommerer, C, Bianchi, S, Capasso, G, Miranda, N, Magistroni, R, Bracale, M, Remuzzi, G, Rota, S, Villa, G, Tilocca, P, Asahi, K, Kato, T, Endo, M, Umezono, T, Fujigaki, Y, Kato, A, Fukatsu, A, Hasegawa, H, Tayama, Y, Hasegawa, M, Hosoya, T, Hanaoka, K, Iehara, N, Iino, Y, Tsuruoka, S, Imai, E, Isaka, Y, Ishimura, E, Ito, S, Sato, H, Kamata, K, Sakamoto, H, Kamura, K, Kusano, E, Muto, S, Kuwahara, M, Matsubara, A, Yorioka, N, Mochizuki, T, Narita, I, Naya, Y, Nihei, N, Yukio, N, Nishio, S, Nitta, K, Tsuchiya, K, Okamura, M, Sasaki, S, Rai, T, Seta, K, Sugawara, A, Shibazaki, S, Sugiyama, S, Tabei, K, Takaichi, K, Tomita, K, Kitamura, K, Tsukamoto, Y, Tsuruya, K, Nakano, T, Ubara, Y, Watanabe, T, Yamamoto, T, Yoshida, K, Ishii, D, Yuzawa, Y, Meijer, E, Vervloet, M, Ciechanowski, K, Wisniewska, M, Gutowska-Jablonska, M, Marcinkowska-Królewicz, M, Klatko, W, Wiśniewski, T, Klinger, M, Krajewska, M, Ksiazek, A, Orłowska, G, Malecki, R, Gontarek-Kacprzak, J, Nowicki, M, Makówka, A, Rutkowski, B, Wołyniec, W, Rydzewski, A, Sulowicz, W, Jasik, P, Covic, A, Volovat, C, Mircescu, G, Petrescu, L, Bobeica, R, Barbarash, O, Chesnokova, L, Borovoy, S, Demina, L, Shostka, G, Idovu, M, Tkalich, L, Geynits, O, Tomilina, N, Foggensteiner, L, Holt, S, Kingswood, J, Lambie, S, Peel, R, Macdougall, I, Tucker, B, Macphee, I, Maxwell, A, Brown, H, Mikhail, A, Bastin, L, Turner, N, Neary, J, Wheeler, D, Maxwell, P, Wilkie, M, Ong, A, Zehnder, D, Aldridge, N, Adler, S, Klein, M, Battle, D, Bennett, W, Berger, B, Dell, K, Blumenfeld, J, Donahue, S, Bolin, P, Browder, R, Perry, A, Oskoui, F, Culpepper, M, Dahl, N, Edelstein, C, Clegg, L, Fischer, D, Kaplan, M, Kaveh, K, Pankhaniya, R, Koren, M, Mansur, K, Lafayette, R, Lamar, W, Lee, J, Mahnensmith, R, Nachman, P, Mottl, A, Miskulin, D, Petersen, J, Radhakrishnan, J, Roppolo, M, Basireddy, M, Rosner, M, Bolton, W, Schulman, G, Steed, L, Steinman, T, Hogan, M, Venuto, R, Turban, S, Winklhofer, F., University of Zurich, Torres, Vicente E, Feldkamp, Thorsten (Beitragende*r), and Witzke, Oliver (Beitragende*r)

Subjects
Male, Tolvaptan, Medizin, 2700 General Medicine, SIROLIMUS, Kidney, V2 RECEPTOR ANTAGONIST, 10052 Institute of Physiology, Aquaretic, VASOPRESSIN V-2-RECEPTOR ANTAGONIST, Polycystic Kidney, 10035 Clinic for Nephrology, Medicine (all), General Medicine, Organ Size, Middle Aged, Adolescent, Adult, Benzazepines, Double-Blind Method, Female, Glomerular Filtration Rate, Humans, Polycystic Kidney, Autosomal Dominant, Sodium, Young Adult, Antidiuretic Hormone Receptor Antagonists, LONG-ACTING SOMATOSTATIN, Autosomal Dominant, 10076 Center for Integrative Human Physiology, OPC-41061, medicine.symptom, medicine.drug, medicine.medical_specialty, RENAL-FUNCTION, CYST GROWTH, Autosomal dominant polycystic kidney disease, Urology, Renal function, Kidney Volume, 610 Medicine & health, Placebo, Article, VOLUME PROGRESSION, Cystic kidney disease, Internal medicine, medicine, HYPONATREMIA, business.industry, urogenital system, ORAL TOLVAPTAN, medicine.disease, Endocrinology, Albuminuria, 570 Life sciences, biology, business
Abstract

BACKGROUND: The course of autosomal dominant polycystic kidney disease (ADPKD) is often associated with pain, hypertension, and kidney failure. Preclinical studies indicated that vasopressin V 2 -receptor antagonists inhibit cyst growth and slow the decline of kidney function. METHODS: In this phase 3, multicenter, double-blind, placebo-controlled, 3-year trial, we randomly assigned 1445 patients, 18 to 50 years of age, who had ADPKD with a total kidney volume of 750 ml or more and an estimated creatinine clearance of 60 ml per minute or more, in a 2:1 ratio to receive tolvaptan, a V 2 -receptor antagonist, at the highest of three twice-daily dose regimens that the patient found tolerable, or placebo. The primary outcome was the annual rate of change in the total kidney volume. Sequential secondary end points included a composite of time to clinical progression (defined as worsening kidney function, kidney pain, hypertension, and albuminuria) and rate of kidney-function decline. RESULTS: Over a 3-year period, the increase in total kidney volume in the tolvaptan group was 2.8% per year (95% confidence interval [CI], 2.5 to 3.1), versus 5.5% per year in the placebo group (95% CI, 5.1 to 6.0; P

Published
2012

26. The Italian Autosomal Dominant Polycystic Kidney Registry

Author

Carrera, P., Palmieri, L., Caruso, F., Lodi, D., Rigo, F., Furci, L., Granito, M., Damiano, F., Iatrino, R., Boletta, A., Ferrari, M., Aguiari, G., Magistroni, R., Carrera, P., Palmieri, L., Caruso, F., Lodi, D., Rigo, F., Furci, L., Granito, M., Damiano, F., Iatrino, R., Boletta, A., Ferrari, M., Aguiari, G., and Magistroni, R.

Abstract

No abstract, non disponibile

Published
2018

29. Il Registro Italiano del Rene Policistico Autosomico Dominante

Author

Carrera, P., primary, Palmieri, L., additional, Caruso, F., additional, Lodi, D., additional, Rigo, F., additional, Furci, L., additional, Granito, M., additional, Damiano, F., additional, Iatrino, R., additional, Boletta, A., additional, Ferrari, M., additional, Aguiari, G., additional, and Magistroni, R., additional

Published
2018
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30. Development and testing of an artificial intelligence tool for predicting end-stage kidney disease in patients with immunoglobulin A nephropathy

Author

Schena, Francesco Paolo, Anelli, Vito Walter, Trotta, Joseph, Di Noia, Tommaso, Manno, Carlo, Tripepi, Giovanni, D’Arrigo, Graziella, Chesnaye, Nicholas C., Russo, Maria Luisa, Stangou, Maria, Papagianni, Aikaterini, Zoccali, Carmine, Tesar, Vladimir, Coppo, Rosanna, Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Coppo, R., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Angioi, A., Piras, L., Feehally, J., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Papasotiriou, M., Galesic, K., Toric, L., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Smerud, H. Kloster, Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Rauen, T., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Grinyo, J.M. Boria, Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Martina, G., Messuerotti, A., Canton, A. Dal, Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Mazzucco, Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Ferrario, F., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Terroba, J. Arce, Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., GalesicLjubanovic, D., Gakiopoulou, H., Bertoni, E., Ortiz, P. Cannata, Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., FulladosaOliveras, X., Maldyk, J., Ioachim, E., Abbrescia, Daniela, Kouri, Nikoleta, Stangou, Maria, Papagianni, Aikaterini, Scolari, Francesco, Delbarba, Elisa, Bonomini, Mario, Piscitani, Luca, Stallone, Giovanni, Infante, Barbara, Godeas, Giulia, Madio, Desiree, Biancone, Luigi, Campagna, Marco, Zaza, Gianluigi, Squarzoni, Isabella, and Cangemi, Concetta

Abstract

We have developed an artificial neural network prediction model for end-stage kidney disease (ESKD) in patients with primary immunoglobulin A nephropathy (IgAN) using a retrospective cohort of 948 patients with IgAN. Our tool is based on a two-step procedure of a classifier model that predicts ESKD, and a regression model that predicts development of ESKD over time. The classifier model showed a performance value of 0.82 (area under the receiver operating characteristic curve) in patients with a follow-up of five years, which improved to 0.89 at the ten-year follow-up. Both models had a higher recall rate, which indicated the practicality of the tool. The regression model showed a mean absolute error of 1.78 years and a root mean square error of 2.15 years. Testing in an independent cohort of 167patients with IgAN found successful results for 91% of the patients. Comparison of our system with other mathematical models showed the highest discriminant Harrell C index at five- and ten-years follow-up (81% and 86%, respectively), paralleling the lowest Akaike information criterion values (355.01 and 269.56, respectively). Moreover, our system was the best calibrated model indicating that the predicted and observed outcome probabilities did not significantly differ. Finally, the dynamic discrimination indexes of our artificial neural network, expressed as the weighted average of time-dependent areas under the curve calculated at one and two years, were 0.80 and 0.79, respectively. Similar results were observed over a 25-year follow-up period. Thus, our tool identified individuals who were at a high risk of developing ESKD due to IgAN and predicted the time-to-event endpoint. Accurate prediction is an important step toward introduction of a therapeutic strategy for improving clinical outcomes.

Published
2021
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31. Tonsillectomy in a European Cohort of 1, 147 Patients with IgA Nephropathy

Author

Feehally J, Coppo R, Troyanov S, Bellur SS, Cattran D, Cook T, Roberts IS, Verhave JC, Camilla R, Vergano L, Egido J, Wiecek A, Karkoszka H, Tesar V, Maixnerova D, Ots- Rosenberg M, Quaglia M, Rollino C, Magistroni R, Cusinato S, Cravero R, Peruzzi L, Lundberg S, Gesualdo L, Cancarini G, Feriozzi S, Ferrario F, and VALIGA study of ERA-EDTA Immunonephrology Working Group

Subjects
urologic and male genital diseases, Tonsillectomy, IgA Nephropathy, VALIGA
Abstract

BACKGROUND: Tonsillectomy has been considered a treatment for IgA nephropathy (IgAN). It is aimed at removing a source of pathogens, reducing mucosa-associated lymphoid tissue and decreasing polymeric IgA synthesis. However, its beneficial effect is still controversial. In Asia, favorable outcomes have been claimed mostly in association with corticosteroids. In Europe, small, single- center uncontrolled studies have failed to show benefits. METHODS: The European validation study of the Oxford classification of IgAN (VALIGA) collected data from 1, 147 patients with IgAN over a follow-up of 4.7 years. We investigated the outcome of progression to end-stage renal disease (ESRD) and/or 50% loss of estimated glomerular filtration rate (eGFR) and the annual loss of eGFR in 61 patients who had had tonsillectomy. RESULTS: Using the propensity score, which is a logistic regression model, we paired 41 patients with tonsillectomy and 41 without tonsillectomy with similar risk of progression (gender, age, race, mean blood pressure, proteinuria, eGFR at renal biopsy, previous treatments and Oxford MEST scores). No significant difference was found in the outcome. Moreover, we performed an additional propensity score pairing 17 patients who underwent tonsillectomy after the diagnosis of IgAN and 51 without tonsillectomy with similar risk of progression at renal biopsy and subsequent treatments. No significant difference was found in changes in proteinuria, or in the renal end point of 50% reduction in GFR and/or ESRD, or in the annual loss of eGFR. CONCLUSION: In the large VALIGA cohort of European subjects with IgAN, no significant correlation was found between tonsillectomy and renal function decline.

Published
2016

32. Evidence from the large VALIGA cohort validates the subclassification of focal segmental glomerulosclerosis in IgA nephropathy

Author

Bellur, Shubha S., Troyanov, Stéphan, Vorobyeva, Olga, Coppo, Rosanna, Roberts, Ian S.D., Coppo, R., Feehaly, J., Troyanov, S., Cattran, D.C., Cook, H.T., Roberts, I., Radcliffe, John, Russo, M.L., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Papagianni, K., Stangou, M., Giacchino, F., Goumenos, D., Papasotirious, M., Kalliakmani, P., Gerolymos, M., Galesic, K., Toric, L., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Boria Grinyo, J.M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Durlik, M., Hryszko, T., Klinger, M., Kamińska, D., Krajewska, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Cambier, A., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Ferrario, F., Diomedi-Casadei, F., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., and Royal, V.

Abstract

Evidence from the Oxford IgA nephropathy (IgAN) cohort supports the clinical value of subclassifying focal segmental glomerulosclerosis lesions (S1). Using the larger Validation in IgA (VALIGA) study cohort, we investigated the association between podocytopathic changes and higher proteinuria, kidney outcome and response to immunosuppressive therapy. All biopsies were evaluated for glomeruli with segmental capillary occlusion by matrix (“not otherwise specified”, NOS lesion), simple capsular adhesion without capillary occlusion (Adh), tip lesions, and podocyte hypertrophy (PH). S1 required a NOS lesion and/or Adh. A Chi-Squared Automatic Interaction Detection method was used to identify subgroups of FSGS lesions associated with distinctive proteinuria at biopsy and assessed survival from a combined event (kidney failure or 50% decline in estimated glomerular filtration rate). Finally, we evaluated within each subgroup if immunosuppression was associated with a favorable outcome using propensity analysis. In 1147 patients, S1 was found in 70% of biopsies. Subclassification found NOS lesions in 44%, Adh in 59%, PH in 13%, and tip lesions in 3%, with much overlap. Four subgroups were identified with progressively higher proteinuria: from lowest, S1 without NOS, S1 with NOS but without Adh/PH, to highest, S1 with NOS and Adh but without PH, and S1 with NOS and PH. These four subgroups showed progressively worse kidney survival. Immunosuppression was associated with a better outcome only in the two highest proteinuria subgroups. Propensity analysis in these two groups, adjusted for clinical and pathological findings, found a significant time-dependent hazard of combined outcome with corticosteroids. Podocyte hypertrophy and glomeruli with simple adhesions appeared to reflect active lesions associated with a response to corticosteroids, while other S1 lesions defined chronicity. Thus, our findings support subclassifying S1 lesions in IgAN.

Published
2024
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33. Tonsillectomy in a European Cohort of 1,147 Patients with IgA Nephropathy

Author

Feehally, J., Coppo, R., Troyanov, S., Bellur, S.S., Cattran, D., Cook, T., Roberts, I.S., Verhave, J.C., Camilla, R., Vergano, L., Egido, J., Wiecek, A., Karkoszka, H., Tesar, V., Maixnerova, D., Ots-Rosenberg, M., Quaglia, M., Rollino, C., Magistroni, R., Cusinato, S., Cravero, R., Peruzzi, L., Lundberg, S., Gesualdo, L., Cancarini, G., Feriozzi, S., Ferrario, F., Feehally, J., Coppo, R., Troyanov, S., Bellur, S.S., Cattran, D., Cook, T., Roberts, I.S., Verhave, J.C., Camilla, R., Vergano, L., Egido, J., Wiecek, A., Karkoszka, H., Tesar, V., Maixnerova, D., Ots-Rosenberg, M., Quaglia, M., Rollino, C., Magistroni, R., Cusinato, S., Cravero, R., Peruzzi, L., Lundberg, S., Gesualdo, L., Cancarini, G., Feriozzi, S., and Ferrario, F.

Abstract

Item does not contain fulltext, BACKGROUND: Tonsillectomy has been considered a treatment for IgA nephropathy (IgAN). It is aimed at removing a source of pathogens, reducing mucosa-associated lymphoid tissue and decreasing polymeric IgA synthesis. However, its beneficial effect is still controversial. In Asia, favorable outcomes have been claimed mostly in association with corticosteroids. In Europe, small, single-center uncontrolled studies have failed to show benefits. METHODS: The European validation study of the Oxford classification of IgAN (VALIGA) collected data from 1,147 patients with IgAN over a follow-up of 4.7 years. We investigated the outcome of progression to end-stage renal disease (ESRD) and/or 50% loss of estimated glomerular filtration rate (eGFR) and the annual loss of eGFR in 61 patients who had had tonsillectomy. RESULTS: Using the propensity score, which is a logistic regression model, we paired 41 patients with tonsillectomy and 41 without tonsillectomy with similar risk of progression (gender, age, race, mean blood pressure, proteinuria, eGFR at renal biopsy, previous treatments and Oxford MEST scores). No significant difference was found in the outcome. Moreover, we performed an additional propensity score pairing 17 patients who underwent tonsillectomy after the diagnosis of IgAN and 51 without tonsillectomy with similar risk of progression at renal biopsy and subsequent treatments. No significant difference was found in changes in proteinuria, or in the renal end point of 50% reduction in GFR and/or ESRD, or in the annual loss of eGFR. CONCLUSION: In the large VALIGA cohort of European subjects with IgAN, no significant correlation was found between tonsillectomy and renal function decline.

Published
2016

34. Renin-angiotensin system (RAS) DNA polymorphisms and TGF[Beta]1-mediated fibrogenic pathway gene expression studies in primary IgA nephropathy (Berger's disease)

Author

Turco, A., Patuzzo, C., Brugnara, M., Marcantoni, C., Brezzi, B., Lupo, A., Gambaro, G., Anglani, F., Del Prete, D., Ligabue, G., Furci, L., Magistroni, R., Albertazzi, A., and Maschio, G.

Subjects
Genetic disorders -- Research, Kidney diseases -- Genetic aspects, Chronic kidney failure -- Genetic aspects, Renin-angiotensin system -- Genetic aspects, Biological sciences
Published
2001

36. Genetic variation of DKK3 may modify renal disease severity in ADPKD

Author

Liu, M., Shi, S., Senthilnathan, S., Yu, J., Wu, E., Bergmann, C., Zerres, K., Bogdanova, N., Coto, E., Constantinou-Deltas, Constantinos D., Pierides, Alkis M., Demetriou, Kyproula, Devuyst, O., Gitomer, B., Laakso, M., Lumiaho, A., Lamnissou, Klea, Magistroni, R., Parfrey, P., Breuning, M., Peters, D. J. M., Torra, R., Winearls, C. G., Torres, V. E., Harris, Peter C., Paterson, A. D., Pei, Y., Constantinou-Deltas, Constantinos D. [0000-0001-5549-9169], UCL - SSS/IREC/NEFR - Pôle de Néphrologie, and UCL - (SLuc) Service de néphrologie

Subjects
Oncology, Nephrology, Candidate gene, glomerulus filtration rate, genotype, kidney disease, urologic and male genital diseases, Cohort Studies, single nucleotide polymorphism, middle aged, genetic variability, kidney cyst, genetics, gene mutation, Genetics, adult, article, General Medicine, Middle Aged, cohort analysis, Polycystic Kidney, Autosomal Dominant, female genital diseases and pregnancy complications, Phenotype, priority journal, beta catenin, polycystin, Intercellular Signaling Peptides and Proteins, Chemokines, Adult, medicine.medical_specialty, TRPP Cation Channels, gene locus, Genotype, phenotype, Autosomal dominant polycystic kidney disease, Single-nucleotide polymorphism, Biology, DKK3 protein, human, Polymorphism, Single Nucleotide, Internal medicine, Genetic variation, medicine, Humans, signal peptide, Genetic variability, human, DKK3 gene, gene, Adaptor Proteins, Signal Transducing, ADPKD, PKD1, medicine.disease, major clinical study, Wnt protein, kidney failure, kidney polycystic disease, polycystic kidney disease 1 protein, Basic Research, adolescent, Mutation, mutation, Kidney disease
Abstract

Significant variation in the course of autosomal dominant polycystic kidney disease (ADPKD) within families suggests the presence of effect modifiers. Recent studies of the variation within families harboring PKD1 mutations indicate that genetic background may account for 32 to 42% of the variance in estimated GFR (eGFR) before ESRD and 43 to 78% of the variance in age at ESRD onset, but the genetic modifiers are unknown. Here, we conducted a high-throughput single-nucleotide polymorphism (SNP) genotyping association study of 173 biological candidate genes in 794 white patients from 227 families with PKD1. We analyzed two primary outcomes: (1) eGFR and (2) time to ESRD (renal survival). For both outcomes, we used multidimensional scaling to correct for population structure and generalized estimating equations to account for the relatedness among individuals within the same family. We found suggestive associations between each of 12 SNPs and at least one of the renal outcomes. We genotyped these SNPs in a second set of 472 white patients from 229 families with PKD1 and performed a joint analysis on both cohorts. Three SNPs continued to show suggestive/significant association with eGFR at the Dickkopf 3 (DKK3) gene locus no SNPs significantly associated with renal survival. DKK3 antagonizes Wnt/β-catenin signaling, which may modulate renal cyst growth. Pending replication, our study suggests that genetic variation of DKK3 may modify severity of ADPKD resulting from PKD1 mutations. Copyright © 2010 by the American Society of Nephrology. 21 1510 1520 Cited By :31

Published
2010

37. PREGNANCY AND PROGRESSION OF IGA NEPHROPATHY: RESULTS OF AN ITALIAN MULTICENTER STUDY

Author

Limardo, M, Imbasciati, E, Ravani, P, Surian, M, Torres, D, Gregorini, G, Magistroni, R, Casellato, D, Gammaro, L, Pozzi, C, Gammaro L, Rene e. Gravidanza Collaborative Group of the Italian Society of N. e. p. h. r. o. l. o. g. y., Beati, S, Ambroso, G, Maggio, M, Del Giudice, A, De Cristofaro, V, Gallo, E, Gernone, G, Marega, A, Rustichelli, R, Cabiddu, G, Rollino, C, Fanciulli, E, Feriozzi, S, Pecchini, P, Bizzarri, D, D'Amico, M, Proietti, E, Baratelli, L, Battista Reinero, G, Garibotto, Giacomo, Rocchietti, M, Allegri, L, Dugo, M, Cirami, L, Esposito, C, Amico, L, Mariani, P, Baroli, A, Giannattasio, M, Stratta, P, Montanaro, D, Gesualdo, L, Daidone, G, Manfellotto, D, and Castellino, S.

Published
2010

38. Genetic variation of DKK3 may modify renal disease severity in ADPKD

Author

Liu, M. Shi, S. Senthilnathan, S. Yu, J. Wu, E. Bergmann, C. Zerres, K. Bogdanova, N. Coto, E. Deltas, C. Pierides, A. Demetriou, K. Devuyst, O. Gitomer, B. Laakso, M. Lumiaho, A. Lamnissou, K. Magistroni, R. Parfrey, P. Breuning, M. Peters, D.J.M. Torra, R. Winearls, C.G. Torres, V.E. Harris, P.C. Paterson, A.D. Pei, Y.

Subjects
urologic and male genital diseases, female genital diseases and pregnancy complications
Abstract

Significant variation in the course of autosomal dominant polycystic kidney disease (ADPKD) within families suggests the presence of effect modifiers. Recent studies of the variation within families harboring PKD1 mutations indicate that genetic background may account for 32 to 42% of the variance in estimated GFR (eGFR) before ESRD and 43 to 78% of the variance in age at ESRD onset, but the genetic modifiers are unknown. Here, we conducted a high-throughput single-nucleotide polymorphism (SNP) genotyping association study of 173 biological candidate genes in 794 white patients from 227 families with PKD1. We analyzed two primary outcomes: (1) eGFR and (2) time to ESRD (renal survival). For both outcomes, we used multidimensional scaling to correct for population structure and generalized estimating equations to account for the relatedness among individuals within the same family. We found suggestive associations between each of 12 SNPs and at least one of the renal outcomes. We genotyped these SNPs in a second set of 472 white patients from 229 families with PKD1 and performed a joint analysis on both cohorts. Three SNPs continued to show suggestive/significant association with eGFR at the Dickkopf 3 (DKK3) gene locus; no SNPs significantly associated with renal survival. DKK3 antagonizes Wnt/β-catenin signaling, which may modulate renal cyst growth. Pending replication, our study suggests that genetic variation of DKK3 may modify severity of ADPKD resulting from PKD1 mutations. Copyright © 2010 by the American Society of Nephrology.

Published
2010

39. Validation of the Oxford classification of IgA nephropathy in cohorts with different presentations and treatments

Author

Coppo, Rosanna, Troyanov, Stéphan, Bellur, Shubha, Cattran, Daniel, Cook, H. Terence, Feehally, John, Roberts, Ian S.D., Morando, Laura, Camilla, Roberta, Tesar, Vladimir, Lunberg, Sigrid, Gesualdo, Loreto, Emma, Francesco, Rollino, Cristiana, Amore, Alessandro, Praga, Manuel, Feriozzi, Sandro, Segoloni, Giuseppe, Pani, Antonello, Cancarini, Giovanni, Durlik, Magalena, Moggia, Elisabetta, Mazzucco, Gianna, Giannakakis, Costantinos, Honsova, Eva, Sundelin, B. Brigitta, Palma, Anna Maria Di, Ferrario, Franco, Gutierrez, Eduardo, Asunis, Anna Maria, Barratt, Jonathan, Tardanico, Regina, Perkowska-Ptasinska, Agnieszka, Maixnerova, D., Lundberg, S., Fuiano, L., Beltrame, G., Peruzzi, L., Polci, R., Colla, L., Angioi, A., Piras, D., Ravera, S., Ballarin, J., Di Giulio, S., Pugliese, F., Caliskan, Y., Locatelli, F., Del Vecchio, L., Wetzels, J. F.M., Peters, H., Berg, U., Carvalho, F., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D'Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Kalliakmani, P., Gerolymos, M., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., Van Kooten, C., Rabelink, T., Reinders, M. E.J., Boria Grinyo, J. M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Ferrario, F., Gutiérrez, E., Arce Terroba, J., Fortunato, M., Ozluk, Y., Kilicaslan, I., Steenberger, E., Soderberg, M., Da Costa Ferreira, A. C., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Bertoni, E., Cannata Ortiz, P., Groene, H. J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., Coppo, Rosanna, Troyanov, Stéphan, Bellur, Shubha, Cattran, Daniel, Cook, H. Terence, Feehally, John, Roberts, Ian S.D., Morando, Laura, Camilla, Roberta, Tesar, Vladimir, Lunberg, Sigrid, Gesualdo, Loreto, Emma, Francesco, Rollino, Cristiana, Amore, Alessandro, Praga, Manuel, Feriozzi, Sandro, Segoloni, Giuseppe, Pani, Antonello, Cancarini, Giovanni, Durlik, Magalena, Moggia, Elisabetta, Mazzucco, Gianna, Giannakakis, Costantinos, Honsova, Eva, Sundelin, B. Brigitta, Palma, Anna Maria Di, Ferrario, Franco, Gutierrez, Eduardo, Asunis, Anna Maria, Barratt, Jonathan, Tardanico, Regina, Perkowska-Ptasinska, Agnieszka, Maixnerova, D., Lundberg, S., Fuiano, L., Beltrame, G., Peruzzi, L., Polci, R., Colla, L., Angioi, A., Piras, D., Ravera, S., Ballarin, J., Di Giulio, S., Pugliese, F., Caliskan, Y., Locatelli, F., Del Vecchio, L., Wetzels, J. F.M., Peters, H., Berg, U., Carvalho, F., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D'Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Kalliakmani, P., Gerolymos, M., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., Van Kooten, C., Rabelink, T., Reinders, M. E.J., Boria Grinyo, J. M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Ferrario, F., Gutiérrez, E., Arce Terroba, J., Fortunato, M., Ozluk, Y., Kilicaslan, I., Steenberger, E., Soderberg, M., Da Costa Ferreira, A. C., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Bertoni, E., Cannata Ortiz, P., Groene, H. J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., and Ioachim, E.

Abstract

The Oxford Classification of IgA Nephropathy (IgAN) identified mesangial hypercellularity (M), endocapillary proliferation (E), segmental glomerulosclerosis (S), and tubular atrophy/interstitial fibrosis (T) as independent predictors of outcome. Whether it applies to individuals excluded from the original study and how therapy influences the predictive value of pathology remain uncertain. The VALIGA study examined 1147 patients from 13 European countries that encompassed the whole spectrum of IgAN. Over a median follow-up of 4.7 years, 86% received renin-angiotensin system blockade and 42% glucocorticoid/immunosuppressive drugs. M, S, and T lesions independently predicted the loss of estimated glomerular filtration rate (eGFR) and a lower renal survival. Their value was also assessed in patients not represented in the Oxford cohort. In individuals with eGFR less than 30 ml/min per 1.73 m 2, the M and T lesions independently predicted a poor survival. In those with proteinuria under 0.5 g/day, both M and E lesions were associated with a rise in proteinuria to 1 or 2 g/day or more. The addition of M, S, and T lesions to clinical variables significantly enhanced the ability to predict progression only in those who did not receive immunosuppression (net reclassification index 11.5%). The VALIGA study provides a validation of the Oxford classification in a large European cohort of IgAN patients across the whole spectrum of the disease. The independent predictive value of pathology MEST score is reduced by glucocorticoid/immunosuppressive therapy.

Published
2014

41. Primary IgA nephropathy is more severe in TGF-ss1 high secretor patients

Author

Brezzi, B., Del Prete, D., Lupo, Antonio, Magistroni, R., Gomez, Maria Macarena, Bernich, P., Anglani, F., Mezzabotta, F., Turco, Alberto, Furci, L., Ceol, M., Antonucci, F., Abaterusso, Cataldo, Bonfante, L., D'Angelo, A., Albertazzi, A., and Gambaro, Giovanni

Subjects
IgA nephropathy, TGF-ss1
Published
2009

43. TRANSPLANTATION CLINICAL 1

Author

Schachtner, T., primary, Reinke, P., additional, Dorje, C., additional, Mjoen, G., additional, Midtvedt, K., additional, Strom, E. H., additional, Oyen, O., additional, Jenssen, T., additional, Reisaeter, A. V., additional, Smedbraaten, Y. V., additional, Sagedal, S., additional, Fagerland, M. W., additional, Hartmann, A., additional, Thiel, S., additional, Zulkarnaev, A., additional, Vatazin, A., additional, Vincenti, F., additional, Harel, E., additional, Kantor, A., additional, Thurison, T., additional, Hoyer-Hansen, G., additional, Craik, C., additional, Kute, V. B., additional, Shah, P. S., additional, Vanikar, A. V., additional, Modi, P. R., additional, Shah, P. R., additional, Gumber, M. R., additional, Patel, H. V., additional, Engineer, D. P., additional, Shah, V. R., additional, Rizvi, J., additional, Trivedi, H. L., additional, Malheiro, J., additional, Dias, L., additional, Martins, L. S., additional, Fonseca, I., additional, Pedroso, S., additional, Almeida, M., additional, Castro-Henriques, A., additional, Cabrita, A., additional, Costa, C., additional, Ritta, M., additional, Sinesi, F., additional, Sidoti, F., additional, Mantovani, S., additional, Di Nauta, A., additional, Messina, M., additional, Cavallo, R., additional, Verflova, A., additional, Svobodova, E., additional, Slatinska, J., additional, Slavcev, A., additional, Pokorna, E., additional, Viklicky, O., additional, Yagan, J., additional, Chandraker, A., additional, Diena, D., additional, Tognarelli, G., additional, Ranghino, A., additional, Bussolino, S., additional, Fop, F., additional, Segoloni, G. P., additional, Biancone, L., additional, Leone, F., additional, Mauro, M. V., additional, Gigliotti, P., additional, Lofaro, D., additional, Greco, F., additional, Perugini, D., additional, Papalia, T., additional, Perri, A., additional, Vizza, D., additional, Giraldi, C., additional, Bonofilgio, R., additional, Luis-Lima, S., additional, Marrero, D., additional, Gonzalez-Rinne, A., additional, Torres, A., additional, Salido, E., additional, Jimenez-Sosa, A., additional, Aldea-Perona, A., additional, Gonzalez-Posada, J. M., additional, Perez-Tamajon, L., additional, Rodriguez-Hernandez, A., additional, Negrin-Mena, N., additional, Porrini, E., additional, Pihlstrom, H., additional, Dahle, D. O., additional, Holdaas, H., additional, Von Der Lippe, N., additional, Waldum, B., additional, Brekke, F., additional, Amro, A., additional, Os, I., additional, Klin, P., additional, Sanabria, H., additional, Bridoux, P., additional, De Francesco, J., additional, Fortunato, R. M., additional, Raffaele, P., additional, Kong, J., additional, Son, S. H., additional, Kwon, H. Y., additional, Whang, E. J., additional, Choi, W. Y., additional, Yoon, C. S., additional, Thanaraj, V., additional, Theakstone, A., additional, Stopper, K., additional, Ferraro, A., additional, Bhattacharjya, S., additional, Devonald, M., additional, Williams, A., additional, Mella, A., additional, Gallo, E., additional, Di Vico, M. C., additional, Pagani, F., additional, Gai, M., additional, Cho, H. J., additional, Nho, K. W., additional, Park, S.-K., additional, Kim, S. B., additional, Yoshida, K., additional, Ishii, D., additional, Ohyama, T., additional, Kohguchi, D., additional, Takeuchi, Y., additional, Varga, A., additional, Sandor, B., additional, Kalmar-Nagy, K., additional, Toth, A., additional, Toth, K., additional, Szakaly, P., additional, Kildushevsky, A., additional, Fedulkina, V., additional, Kantaria, R., additional, Staeck, O., additional, Halleck, F., additional, Rissling, O., additional, Naik, M., additional, Neumayer, H.-H., additional, Budde, K., additional, Khadzhynov, D., additional, Bhadauria, D., additional, Kaul, A., additional, Prasad, N., additional, Sharma, R. K., additional, Sezer, S., additional, Bal, Z., additional, Erkmen Uyar, M., additional, Guliyev, O., additional, Erdemir, B., additional, Colak, T., additional, Ozdemir, N., additional, Haberal, M., additional, Caliskan, Y., additional, Yazici, H., additional, Artan, A. S., additional, Oto, O. A., additional, Aysuna, N., additional, Bozfakioglu, S., additional, Turkmen, A., additional, Yildiz, A., additional, Sever, M. S., additional, Yagisawa, T., additional, Nukui, A., additional, Kimura, T., additional, Nannmoku, K., additional, Kurosawa, A., additional, Sakuma, Y., additional, Miki, A., additional, Damiano, F., additional, Ligabue, G., additional, De Biasi, S., additional, Granito, M., additional, Cossarizza, A., additional, Cappelli, G., additional, Henriques, A. C., additional, Davide, J., additional, Von During, M. E., additional, Jenssen, T. G., additional, Bollerslev, J., additional, Godang, K., additional, Asberg, A., additional, Bachelet, T., additional, Martinez, C., additional, Bello, A., additional, Kejji, S., additional, Couzi, L., additional, Guidicelli, G., additional, Lepreux, S., additional, Visentin, J., additional, Congy-Jolivet, N., additional, Rostaing, L., additional, Taupin, J.-L., additional, Kamar, N., additional, Merville, P., additional, Ozdemir, H., additional, Yildirim, S., additional, Tutal, E., additional, Sayin, B., additional, Ozdemir Acar, N., additional, Banasik, M., additional, Boratynska, M., additional, Koscielska-Kasprzak, K., additional, Kaminska, D., additional, Bartoszek, D., additional, Mazanowska, O., additional, Krajewska, M., additional, Zmonarski, S., additional, Chudoba, P., additional, Dawiskiba, T., additional, Protasiewicz, M., additional, Halon, A., additional, Sas, A., additional, Kaminska, M., additional, Klinger, M., additional, Stefanovic, N., additional, Cvetkovic, T., additional, Velickovic - Radovanovic, R., additional, Jevtovic - Stoimenov, T., additional, Vlahovic, P., additional, Rungta, R., additional, Das, P., additional, Ray, D. S., additional, Gupta, S., additional, Kolonko, A., additional, Szotowska, M., additional, Kuczera, P., additional, Chudek, J., additional, Wiecek, A., additional, Sikora-Grabka, E., additional, Adamczak, M., additional, Madej, P., additional, Amanova, A., additional, Kendi Celebi, Z., additional, Bakar, F., additional, Caglayan, M. G., additional, Keven, K., additional, Massimetti, C., additional, Imperato, G., additional, Zampi, G., additional, De Vincenzi, A., additional, Fabbri, G. D. D., additional, Brescia, F., additional, Feriozzi, S., additional, Filipov, J. J., additional, Zlatkov, B. K., additional, Dimitrov, E. P., additional, Svinarov, D. A., additional, Poesen, R., additional, De Vusser, K., additional, Evenepoel, P., additional, Kuypers, D., additional, Naesens, M., additional, Meijers, B., additional, Kocak, H., additional, Yilmaz, V. T., additional, Yilmaz, F., additional, Uslu, H. B., additional, Aliosmanoglu, I., additional, Ermis, H., additional, Dinckan, A., additional, Cetinkaya, R., additional, Ersoy, F. F., additional, Suleymanlar, G., additional, Oliveira, J.-C., additional, Santos, J., additional, Lobato, L., additional, Mendonca, D., additional, Watarai, Y., additional, Yamamoto, T., additional, Tsujita, M., additional, Hiramitsu, T., additional, Goto, N., additional, Narumi, S., additional, Kobayashi, T., additional, Line, P.-D., additional, Housawi, A., additional, House, A., additional, Ng, C., additional, Denesyk, K., additional, Rehman, F., additional, Moist, L., additional, Musetti, C., additional, Battista, M., additional, Izzo, C., additional, Guglielmetti, G., additional, Airoldi, A., additional, Stratta, P., additional, Cena, T., additional, Quaglia, M., additional, Fenoglio, R., additional, Cagna, D., additional, Amoroso, A., additional, Palmisano, A., additional, Degli Antoni, A. M., additional, Vaglio, A., additional, Piotti, G., additional, Cremaschi, E., additional, Buzio, C., additional, Maggiore, U., additional, Lee, M.-C., additional, Hsu, B.-G., additional, Zalamea Jarrin, F., additional, Sanchez Sobrino, B., additional, Lafuente Covarrubias, O., additional, Karsten Alvarez, S., additional, Dominguez Apinaniz, P., additional, Llopez Carratala, R., additional, Portoles Perez, J., additional, Yildirim, T., additional, Yilmaz, R., additional, Turkmen, E., additional, Altindal, M., additional, Arici, M., additional, Altun, B., additional, Erdem, Y., additional, Dounousi, E., additional, Mitsis, M., additional, Naka, K., additional, Pappas, H., additional, Lakkas, L., additional, Harisis, H., additional, Pappas, K., additional, Koutlas, V., additional, Tzalavra, I., additional, Spanos, G., additional, Michalis, L., additional, Siamopoulos, K., additional, Iwabuchi, T., additional, Nanmoku, K., additional, Yasunaru, S., additional, Yoshikawa, M., additional, Kitamura, K., additional, Fuji, H., additional, Fujisawa, M., additional, Nishi, S., additional, Carta, P., additional, Zanazzi, M., additional, Buti, E., additional, Larti, A., additional, Caroti, L., additional, Di Maria, L., additional, Minetti, E. E., additional, Shi, Y., additional, Luo, L., additional, Cai, B., additional, Wang, T., additional, Zou, Y., additional, Wang, L., additional, Kim, Y., additional, Kim, H. S., additional, Choi, B. S., additional, Park, C. W., additional, Yang, C. W., additional, Kim, Y.-S., additional, Chung, B. H., additional, Baek, C. H., additional, Kim, M., additional, Kim, J.-S., additional, Yang, W. S., additional, Han, D. J., additional, Mikolasevic, I., additional, Racki, S., additional, Lukenda, V., additional, Persic, M. P., additional, Colic, M., additional, Devcic, B., additional, Orlic, L., additional, Gurlek Demirci, B., additional, Say N, C. B., additional, Ozdemir Acar, F. N., additional, Vali, S., additional, Ismal, K., additional, Sahay, M., additional, Civiletti, F., additional, Cantaluppi, V., additional, Medica, D., additional, Mazzeo, A. 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Published
2014
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44. IGA NEPHROPATHY

Author

Grchevska, L., primary, Pesce, F., additional, Diciolla, M., additional, Naso, D., additional, Di Noia, T., additional, Ostuni, V. C., additional, Binetti, G., additional, Di Sciascio, E., additional, Schena, F. P., additional, Vergano, L., additional, Loiacono, E., additional, Peruzzi, L., additional, Amore, A., additional, Boido, A., additional, Mariano, F., additional, Mazzucco, G., additional, Ravera, S., additional, Cancarini, G., additional, Magistroni, R., additional, Beltrame, G., additional, Rollino, C., additional, Stratta, P., additional, Quaglia, M., additional, Bergia, R., additional, Cravero, R., additional, Cusinato, S., additional, Benozzi, L., additional, Savoldi, S., additional, Licata, C., additional, Albera, R., additional, Coppo, R., additional, Yurkevich, M., additional, Komissarov, K., additional, Pilotovich, V., additional, Dmitrieva, M., additional, Ivanchik, G., additional, Zafranskaya, M., additional, Hennino, M.-F., additional, Jomaa, Z., additional, Van Der Hauwaert, C., additional, Savary, G., additional, Buob, D., additional, Gnemmi, V., additional, Cauffiez, C., additional, and Glowacki, F., additional

Published
2014
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50. Primary IgA nephropathy is more severe in TGF-beta1 high secretor patients.

Author

Brezzi, B, Del Prete, D, Lupo, A, Magistroni, R, Gomez Lira, M, Bernich, P, Anglani, F, Mezzabotta, F, Turco, A, Furci, L, Ceol, M, Antonucci, F, Abaterusso, C, Bonfante, L, D'Angelo, A, Albertazzi, A, Gambaro, Giovanni, Gambaro, Giovanni (ORCID:0000-0001-5733-2370), Brezzi, B, Del Prete, D, Lupo, A, Magistroni, R, Gomez Lira, M, Bernich, P, Anglani, F, Mezzabotta, F, Turco, A, Furci, L, Ceol, M, Antonucci, F, Abaterusso, C, Bonfante, L, D'Angelo, A, Albertazzi, A, Gambaro, Giovanni, and Gambaro, Giovanni (ORCID:0000-0001-5733-2370)

Abstract

BACKGROUND: IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide and is characterized by extremely variable clinical and morphological features and outcome. TGF-beta1 has a key role in fibrogenesis and the progression of renal damage. Its production is under genetic control. METHODS: We recruited 105 Italian biopsy-proven IgAN patients for genotyping for the TGF-beta1 C-509T, T869C (COD 10) and G915C (COD 25) polymorphisms; 200 healthy blood donors were used as normal controls. Glomerular and interstitial mRNA levels of TGF-beta1 were assessed by real-time PCR in 34 patients to seek relationships with clinical, renal histopathological features and outcome. RESULTS: The genotype distributions in the IgAN population were not statistically different from the controls. The COD 10 TT genotype was associated with more severe histological damage as assessed by Lee's classification (CC 50%, CT 39.6% and TT 17.2% were graded as mild; CC 35.7%, CT 43.7% and TT 44.8% as moderate, and CC 14.3%, CT 16.7% and TT 37.9% as severe [p=0.0049]) and with severe interstitial infiltrates (CC 10.4%, CT 35.2% and TT 54.2% [p=0.03]). A higher interstitial immunodeposition was observed for TGF-beta1, collagen IV and alpha-SMA in patients with the COD 10 T allele (p=0.045, p=0.049, p=0.032, respectively). The T allele was associated with significantly higher TGF-beta1 mRNA levels in the interstitium (TT+CT vs. CC: 0.52 +/- 0.16 vs. 0.18 +/- 0.10 copies/mL, respectively; p=0.000). The T allele was also associated with higher mRNA levels in glomeruli, though the difference was not statistically significant. Finally, the T allele was significantly associated with a worse prognosis, the end points being reached by 40% of TT+CT and 32% of CC patients (p=0.009). CONCLUSIONS: In primary IgA nephropathy, the T allele of the TGF-beta1 COD 10 C/T polymorphism seems to be associated with more severe histological lesions, higher renal TGF-beta1 mRNA levels and a worse prognosis.

Published
2009

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