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31 results on '"Pei, York"'

1. Advancing Genetic Testing in Kidney Diseases: Report From a National Kidney Foundation Working Group

Author

Ars, Elisabet, Reza Bekheirnia, Mir, Bier, Louise, Bleyer, Anthony J., Sr., Fuller, Lindsey J., Halbritter, Jan, Harris, Peter C., Kiryluk, Krzysztof, Knoers, Nine V.A.M., Kopp, Jeffrey B., Kramer, Holly, Lagas, Sharon S., Lieske, John C., Lu, Weining, Mannon, Roslyn B., Markowitz, Glen, Moe, Orson W., Nadkarni, Girish N., Nast, Cynthia C., Parekh, Rulan S., Pei, York, Reed, Katie, Rehm, Heidi L., Richards, Denay J., Roberts, Mary-Beth, Sabatello, Maya, Salant, David J., Sampson, Matthew G., Sanna-Cherchi, Simone, Santoriello, Dominick, Sedor, John R., Sneddon, Tam P., Watnick, Terry, Wilfond, Benjamin S., Williams, Winfred W., Wong, Craig S., Franceschini, Nora, Feldman, David L., Berg, Jonathan S., Besse, Whitney, Chang, Alexander R., Dahl, Neera K., Gbadegesin, Rasheed, Pollak, Martin R., Rasouly, Hila Milo, Smith, Richard J.H., Winkler, Cheryl A., and Gharavi, Ali G.

Published
2024
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2. Genome-wide association analyses define pathogenic signaling pathways and prioritize drug targets for IgA nephropathy

Author

Kiryluk, Krzysztof, Sanchez-Rodriguez, Elena, Zhou, Xu-Jie, Zanoni, Francesca, Liu, Lili, Mladkova, Nikol, Khan, Atlas, Marasa, Maddalena, Zhang, Jun Y., Balderes, Olivia, Sanna-Cherchi, Simone, Bomback, Andrew S., Canetta, Pietro A., Appel, Gerald B., Radhakrishnan, Jai, Trimarchi, Hernan, Sprangers, Ben, Cattran, Daniel C., Reich, Heather, Pei, York, Ravani, Pietro, Galesic, Kresimir, Maixnerova, Dita, Tesar, Vladimir, Stengel, Benedicte, Metzger, Marie, Canaud, Guillaume, Maillard, Nicolas, Berthoux, Francois, Berthelot, Laureline, Pillebout, Evangeline, Monteiro, Renato, Nelson, Raoul, Wyatt, Robert J., Smoyer, William, Mahan, John, Samhar, Al-Akash, Hidalgo, Guillermo, Quiroga, Alejandro, Weng, Patricia, Sreedharan, Raji, Selewski, David, Davis, Keefe, Kallash, Mahmoud, Vasylyeva, Tetyana L., Rheault, Michelle, Chishti, Aftab, Ranch, Daniel, Wenderfer, Scott E., Samsonov, Dmitry, Claes, Donna J., Akchurin, Oleh, Goumenos, Dimitrios, Stangou, Maria, Nagy, Judit, Kovacs, Tibor, Fiaccadori, Enrico, Amoroso, Antonio, Barlassina, Cristina, Cusi, Daniele, Del Vecchio, Lucia, Battaglia, Giovanni Giorgio, Bodria, Monica, Boer, Emanuela, Bono, Luisa, Boscutti, Giuliano, Caridi, Gianluca, Lugani, Francesca, Ghiggeri, GianMarco, Coppo, Rosanna, Peruzzi, Licia, Esposito, Vittoria, Esposito, Ciro, Feriozzi, Sandro, Polci, Rosaria, Frasca, Giovanni, Galliani, Marco, Garozzo, Maurizio, Mitrotti, Adele, Gesualdo, Loreto, Granata, Simona, Zaza, Gianluigi, Londrino, Francesco, Magistroni, Riccardo, Pisani, Isabella, Magnano, Andrea, Marcantoni, Carmelita, Messa, Piergiorgio, Mignani, Renzo, Pani, Antonello, Ponticelli, Claudio, Roccatello, Dario, Salvadori, Maurizio, Salvi, Erica, Santoro, Domenico, Gembillo, Guido, Savoldi, Silvana, Spotti, Donatella, Zamboli, Pasquale, Izzi, Claudia, Alberici, Federico, Delbarba, Elisa, Florczak, Michał, Krata, Natalia, Mucha, Krzysztof, Pączek, Leszek, Niemczyk, Stanisław, Moszczuk, Barbara, Pańczyk-Tomaszewska, Malgorzata, Mizerska-Wasiak, Malgorzata, Perkowska-Ptasińska, Agnieszka, Bączkowska, Teresa, Durlik, Magdalena, Pawlaczyk, Krzysztof, Sikora, Przemyslaw, Zaniew, Marcin, Kaminska, Dorota, Krajewska, Magdalena, Kuzmiuk-Glembin, Izabella, Heleniak, Zbigniew, Bullo-Piontecka, Barbara, Liberek, Tomasz, Dębska-Slizien, Alicja, Hryszko, Tomasz, Materna-Kiryluk, Anna, Miklaszewska, Monika, Szczepańska, Maria, Dyga, Katarzyna, Machura, Edyta, Siniewicz-Luzeńczyk, Katarzyna, Pawlak-Bratkowska, Monika, Tkaczyk, Marcin, Runowski, Dariusz, Kwella, Norbert, Drożdż, Dorota, Habura, Ireneusz, Kronenberg, Florian, Prikhodina, Larisa, van Heel, David, Fontaine, Bertrand, Cotsapas, Chris, Wijmenga, Cisca, Franke, Andre, Annese, Vito, Gregersen, Peter K., Parameswaran, Sreeja, Weirauch, Matthew, Kottyan, Leah, Harley, John B., Suzuki, Hitoshi, Narita, Ichiei, Goto, Shin, Lee, Hajeong, Kim, Dong Ki, Kim, Yon Su, Park, Jin-Ho, Cho, BeLong, Choi, Murim, Van Wijk, Ans, Huerta, Ana, Ars, Elisabet, Ballarin, Jose, Lundberg, Sigrid, Vogt, Bruno, Mani, Laila-Yasmin, Caliskan, Yasar, Barratt, Jonathan, Abeygunaratne, Thilini, Kalra, Philip A., Gale, Daniel P., Panzer, Ulf, Rauen, Thomas, Floege, Jürgen, Schlosser, Pascal, Ekici, Arif B., Eckardt, Kai-Uwe, Chen, Nan, Xie, Jingyuan, Lifton, Richard P., Loos, Ruth J. F., Kenny, Eimear E., Ionita-Laza, Iuliana, Köttgen, Anna, Julian, Bruce A., Novak, Jan, Scolari, Francesco, Zhang, Hong, and Gharavi, Ali G.

Published
2023
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7. Urinary epidermal growth factor/monocyte chemotactic peptide 1 ratio as non-invasive predictor of Mayo clinic imaging classes in autosomal dominant polycystic kidney disease

Author

Rocchetti, Maria Teresa, Pesce, Francesco, Matino, Silvia, Piscopo, Giovanni, di Bari, Ighli, Trepiccione, Francesco, Capolongo, Giovanna, Perniola, Maria Antonietta, Song, Xuewen, Khowaja, Saima, Haghighi, Amirreza, Peters, Dorien, Paolicelli, Simona, Pontrelli, Paola, Netti, Giuseppe Stefano, Ranieri, Elena, Capasso, Giovambattista, Moschetta, Marco, Pei, York, and Gesualdo, Loreto

Published
2022
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9. Genetics in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference

Author

Köttgen, Anna, Cornec-Le Gall, Emilie, Halbritter, Jan, Kiryluk, Krzysztof, Mallett, Andrew J., Parekh, Rulan S., Rasouly, Hila Milo, Sampson, Matthew G., Tin, Adrienne, Antignac, Corinne, Ars, Elisabet, Bergmann, Carsten, Bleyer, Anthony J., Bockenhauer, Detlef, Devuyst, Olivier, Florez, Jose C., Fowler, Kevin J., Franceschini, Nora, Fukagawa, Masafumi, Gale, Daniel P., Gbadegesin, Rasheed A., Goldstein, David B., Grams, Morgan E., Greka, Anna, Gross, Oliver, Guay-Woodford, Lisa M., Harris, Peter C., Hoefele, Julia, Hung, Adriana M., Knoers, Nine V.A.M., Kopp, Jeffrey B., Kretzler, Matthias, Lanktree, Matthew B., Lipska-Ziętkiewicz, Beata S., Nicholls, Kathleen, Nozu, Kandai, Ojo, Akinlolu, Parsa, Afshin, Pattaro, Cristian, Pei, York, Pollak, Martin R., Rhee, Eugene P., Sanna-Cherchi, Simone, Savige, Judy, Sayer, John A., Scolari, Francesco, Sedor, John R., Sim, Xueling, Somlo, Stefan, Susztak, Katalin, Tayo, Bamidele O., Torra, Roser, van Eerde, Albertien M., Weinstock, André, Winkler, Cheryl A., Wuttke, Matthias, Zhang, Hong, King, Jennifer M., Cheung, Michael, Jadoul, Michel, Winkelmayer, Wolfgang C., and Gharavi, Ali G.

Published
2022
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12. Advancing Genetic Testing in Kidney Diseases: Report From a National Kidney Foundation Working Group

Author

Franceschini, Nora, Feldman, David L., Berg, Jonathan S., Besse, Whitney, Chang, Alexander R., Dahl, Neera K., Gbadegesin, Rasheed, Pollak, Martin R., Rasouly, Hila Milo, Smith, Richard J.H., Winkler, Cheryl A., Gharavi, Ali G., Ars, Elisabet, Reza Bekheirnia, Mir, Bier, Louise, Bleyer, Anthony J., Fuller, Lindsey J., Halbritter, Jan, Harris, Peter C., Kiryluk, Krzysztof, Knoers, Nine V.A.M., Kopp, Jeffrey B., Kramer, Holly, Lagas, Sharon S., Lieske, John C., Lu, Weining, Mannon, Roslyn B., Markowitz, Glen, Moe, Orson W., Nadkarni, Girish N., Nast, Cynthia C., Parekh, Rulan S., Pei, York, Reed, Katie, Rehm, Heidi L., Richards, Denay J., Roberts, Mary-Beth, Sabatello, Maya, Salant, David J., Sampson, Matthew G., Sanna-Cherchi, Simone, Santoriello, Dominick, Sedor, John R., Sneddon, Tam P., Watnick, Terry, Wilfond, Benjamin S., Williams, Winfred W., and Wong, Craig S.

Abstract

About 37 million people in the United States have chronic kidney disease, a disease that encompasses multiple causes. About 10% or more of kidney diseases in adults and as many as 70% of selected chronic kidney diseases in children are expected to be explained by genetic causes. Despite the advances in genetic testing and an increasing understanding of the genetic bases of certain kidney diseases, genetic testing in nephrology lags behind other medical fields. More understanding of the benefits and logistics of genetic testing is needed to advance the implementation of genetic testing in chronic kidney diseases. Accordingly, the National Kidney Foundation convened a Working Group of experts with diverse expertise in genetics, nephrology, and allied fields to develop recommendations for genetic testing for monogenic disorders and to identify genetic risk factors for oligogenic and polygenic causes of kidney diseases. Algorithms for clinical decision making on genetic testing and a road map for advancing genetic testing in kidney diseases were generated. An important aspect of this initiative was the use of a modified Delphi process to reach group consensus on the recommendations. The recommendations and resources described herein provide support to nephrologists and allied health professionals to advance the use of genetic testing for diagnosis and screening of kidney diseases.

Published
2024
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17. Venglustat, a Novel Glucosylceramide Synthase Inhibitor, in Patients at Risk of Rapidly Progressing ADPKD: Primary Results of a Double-Blind, Placebo-Controlled, Phase 2/3 Randomized Clinical Trial

Author

Gansevoort, Ronald T., primary, Hariri, Ali, additional, Minini, Pascal, additional, Ahn, Curie, additional, Chapman, Arlene B., additional, Horie, Shigeo, additional, Knebelmann, Bertrand, additional, Mrug, Michal, additional, Ong, Albert C.M., additional, Pei, York P.C., additional, Torres, Vicente E., additional, Modur, Vijay, additional, Antonshchuk, Igor, additional, and Perrone, Ronald D., additional

Published
2023
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18. Total Kidney Volume Measurements in ADPKD by 3D and Ellipsoid Ultrasound in Comparison with Magnetic Resonance Imaging

Author

Pedram Akbari, Fatemah Nasri, Shirley X. Deng, Saima Khowaja, Seung H. Lee, William Warnica, Hua Lu, Anand Rattansingh, Mostafa Atri, Korosh Khalili, and Pei York

Subjects
Transplantation, Nephrology, Epidemiology, fungi, Humans, Original Article, Prospective Studies, sense organs, Kidney, Polycystic Kidney, Autosomal Dominant, Critical Care and Intensive Care Medicine, Magnetic Resonance Imaging, Ultrasonography
Abstract

BACKGROUND AND OBJECTIVES: Total kidney volume is a validated prognostic biomarker for autosomal dominant polycystic kidney disease. Total kidney volume by magnetic resonance imaging (MRI) and manual segmentation is considered the “reference standard,” but it is time consuming and not readily accessible. By contrast, three-dimensional (3D) ultrasound provides a promising technology for total kidney volume measurements with unknown potential. Here, we report a comparative study of total kidney volume measurements by 3D ultrasound versus the conventional methods by ultrasound ellipsoid and MRI ellipsoid. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This single-center prospective study included 142 patients who completed a standardized 3D ultrasound and MRI. Total kidney volumes by 3D ultrasound and ultrasound ellipsoid were compared with those by MRI. We assessed the agreement of total kidney volume measurements by Bland–Altman plots and misclassification of the Mayo Clinic imaging classes between the different imaging methods, and we assessed prediction of Mayo Clinic imaging classes 1C–1E by average ultrasound kidney length >16.5 cm. RESULTS: Compared with MRI manual segmentation, MRI ellipsoid, 3D ultrasound, and ultrasound ellipsoid underestimated total kidney volume (mean difference: −3%, −9%, and −11%, respectively), with Mayo Clinic imaging classes misclassified in 11%, 21%, and 22% of patients, respectively; most misclassified cases by MRI ellipsoid (11 of 16), 3D ultrasound (23 of 30), and ultrasound ellipsoid (26 of 31) were placed into a lower Mayo Clinic imaging class. Predictions of the high-risk Mayo Clinic imaging classes (1C–1E) by MRI ellipsoid, 3D ultrasound, and ultrasound ellipsoid all yielded high positive predictive value (96%, 95%, and 98%, respectively) and specificity (96%, 96%, and 99%, respectively). However, both negative predictive value (90%, 88%, and 95%, respectively) and sensitivity (88%, 85%, and 94%, respectively) were lower for 3D ultrasound and ultrasound ellipsoid compared with MRI ellipsoid. An average ultrasound kidney length >16.5 cm was highly predictive of Mayo Clinic imaging classes 1C–1E only in patients aged ≤45 years. CONCLUSIONS: Total kidney volume measurements in autosomal dominant polycystic kidney disease by 3D ultrasound and ultrasound ellipsoid displayed similar bias and variability and are less accurate than MRI ellipsoid. Prediction of high-risk Mayo Clinic imaging classes (1C–1E) by all three methods provides high positive predictive value, but ultrasound ellipsoid is simpler to use and more readily available.

Published
2022
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22. Genetics in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference

Author

UCL - SSS/IREC/NEFR - Pôle de Néphrologie, UCL - (SLuc) Service de néphrologie, Köttgen, Anna, Cornec-Le Gall, Emilie, Halbritter, Jan, Kiryluk, Krzysztof, Mallett, Andrew J., Parekh, Rulan S., Rasouly, Hila Milo, Sampson, Matthew G., Tin, Adrienne, Antignac, Corinne, Ars, Elisabet, Bergmann, Carsten, Bleyer, Anthony J., Bockenhauer, Detlef, Devuyst, Olivier, Florez, Jose C., Fowler, Kevin J., Franceschini, Nora, Fukagawa, Masafumi, Gale, Daniel P., Gbadegesin, Rasheed A., Goldstein, David B., Grams, Morgan E., Greka, Anna, Gross, Oliver, Guay-Woodford, Lisa M., Harris, Peter C., Hoefele, Julia, Hung, Adriana M., Knoers, Nine V.A.M., Kopp, Jeffrey B., Kretzler, Matthias, Lanktree, Matthew B., Lipska-Ziętkiewicz, Beata S., Nicholls, Kathleen, Nozu, Kandai, Ojo, Akinlolu, Parsa, Afshin, Pattaro, Cristian, Pei, York, Pollak, Martin R., Rhee, Eugene P., Sanna-Cherchi, Simone, Savige, Judy, Sayer, John A., Scolari, Francesco, Sedor, John R., Sim, Xueling, Somlo, Stefan, Susztak, Katalin, Tayo, Bamidele O., Torra, Roser, van Eerde, Albertien M., Weinstock, André, Winkler, Cheryl A., Wuttke, Matthias, Zhang, Hong, King, Jennifer M., Cheung, Michael, Jadoul, Michel, Winkelmayer, Wolfgang C., Gharavi, Ali G., UCL - SSS/IREC/NEFR - Pôle de Néphrologie, UCL - (SLuc) Service de néphrologie, Köttgen, Anna, Cornec-Le Gall, Emilie, Halbritter, Jan, Kiryluk, Krzysztof, Mallett, Andrew J., Parekh, Rulan S., Rasouly, Hila Milo, Sampson, Matthew G., Tin, Adrienne, Antignac, Corinne, Ars, Elisabet, Bergmann, Carsten, Bleyer, Anthony J., Bockenhauer, Detlef, Devuyst, Olivier, Florez, Jose C., Fowler, Kevin J., Franceschini, Nora, Fukagawa, Masafumi, Gale, Daniel P., Gbadegesin, Rasheed A., Goldstein, David B., Grams, Morgan E., Greka, Anna, Gross, Oliver, Guay-Woodford, Lisa M., Harris, Peter C., Hoefele, Julia, Hung, Adriana M., Knoers, Nine V.A.M., Kopp, Jeffrey B., Kretzler, Matthias, Lanktree, Matthew B., Lipska-Ziętkiewicz, Beata S., Nicholls, Kathleen, Nozu, Kandai, Ojo, Akinlolu, Parsa, Afshin, Pattaro, Cristian, Pei, York, Pollak, Martin R., Rhee, Eugene P., Sanna-Cherchi, Simone, Savige, Judy, Sayer, John A., Scolari, Francesco, Sedor, John R., Sim, Xueling, Somlo, Stefan, Susztak, Katalin, Tayo, Bamidele O., Torra, Roser, van Eerde, Albertien M., Weinstock, André, Winkler, Cheryl A., Wuttke, Matthias, Zhang, Hong, King, Jennifer M., Cheung, Michael, Jadoul, Michel, Winkelmayer, Wolfgang C., and Gharavi, Ali G.

Published
2022

23. Urinary epidermal growth factor/monocyte chemotactic peptide 1 ratio as non-invasive predictor of Mayo clinic imaging classes in autosomal dominant polycystic kidney disease.

Author

Rocchetti, Maria Teresa, Pesce, Francesco, Matino, Silvia, Piscopo, Giovanni, di Bari, Ighli, Trepiccione, Francesco, Capolongo, Giovanna, Perniola, Maria Antonietta, Song, Xuewen, Khowaja, Saima, Haghighi, Amirreza, Peters, Dorien, Paolicelli, Simona, Pontrelli, Paola, Netti, Giuseppe Stefano, Ranieri, Elena, Capasso, Giovambattista, Moschetta, Marco, Pei, York, and Gesualdo, Loreto

Published
2023
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25. Atypical Polycystic Kidney Disease by Imaging

Author

Pei, York, primary, Iliuta, Ioan-Andrei, additional, Win, Aung Zaw, additional, Lanktree, Matthew B., additional, Lee, Seung Heyck, additional, Pourafkari, Marina, additional, Nasri, Fatemeh, additional, Guiard, Elsa, additional, Haghighi, Amirreza, additional, He, Ning, additional, Ingram, Alistair, additional, Quist, Crystal, additional, Hillier, David, additional, and Khalili, Korosh, additional

Published
2022
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31. Reprogramming of Energy Metabolism in Human PKD1 Polycystic Kidney Disease: A Systems Biology Analysis.

Author

Song X, Pickel L, Sung HK, Scholey J, and Pei Y

Subjects
Humans, TRPP Cation Channels metabolism, TRPP Cation Channels genetics, Mitochondria metabolism, Mitochondria genetics, Mechanistic Target of Rapamycin Complex 1 metabolism, Mechanistic Target of Rapamycin Complex 1 genetics, Oxidative Phosphorylation, Gene Expression Regulation, Energy Metabolism, Systems Biology methods, Polycystic Kidney, Autosomal Dominant metabolism, Polycystic Kidney, Autosomal Dominant genetics
Abstract

Multiple alterations of cellular metabolism have been documented in experimental studies of autosomal dominant polycystic kidney disease (ADPKD) and are thought to contribute to its pathogenesis. To elucidate the molecular pathways and transcriptional regulators associated with the metabolic changes of renal cysts in ADPKD, we compared global gene expression data from human PKD1 renal cysts, minimally cystic tissues (MCT) from the same patients, and healthy human kidney cortical tissue samples. We found gene expression profiles of PKD1 renal cysts were consistent with the Warburg effect with gene pathway changes favoring increased cellular glucose uptake and lactate production, instead of pyruvate oxidation. Additionally, mitochondrial energy metabolism was globally depressed, associated with downregulation of gene pathways related to fatty acid oxidation (FAO), branched-chain amino acid (BCAA) degradation, the Krebs cycle, and oxidative phosphorylation (OXPHOS) in renal cysts. Activation of mTORC1 and its two target proto-oncogenes, HIF-1α and MYC, was predicted to drive the expression of multiple genes involved in the observed metabolic reprogramming (e.g., GLUT3 , HK1/HK2 , ALDOA , ENO2 , PKM , LDHA/LDHB , MCT4 , PDHA1 , PDK1/3 , MPC1/2 , CPT2 , BCAT1 , NAMPT ); indeed, their predicted expression patterns were confirmed by our data. Conversely, we found AMPK inhibition was predicted in renal cysts. AMPK inhibition was associated with decreased expression of PGC-1α, a transcriptional coactivator for transcription factors PPARα, ERRα, and ERRγ, all of which play a critical role in regulating oxidative metabolism and mitochondrial biogenesis. These data provide a comprehensive map of metabolic pathway reprogramming in ADPKD and highlight nodes of regulation that may serve as targets for therapeutic intervention.

Published
2024
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