1,512 results on '"Kretzler, Matthias"'
Search Results
2. The chromatin landscape of healthy and injured cell types in the human kidney.
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Gisch, Debora, Brennan, Michelle, Lake, Blue, Basta, Jeannine, Keller, Mark, Melo Ferreira, Ricardo, Akilesh, Shreeram, Ghag, Reetika, Lu, Charles, Cheng, Ying-Hua, Collins, Kimberly, Parikh, Samir, Rovin, Brad, Robbins, Lynn, Stout, Lisa, Conklin, Kimberly, Diep, Dinh, Zhang, Bo, Knoten, Amanda, Barwinska, Daria, Asghari, Mahla, Sabo, Angela, Ferkowicz, Michael, Sutton, Timothy, Kelly, Katherine, De Boer, Ian, Rosas, Sylvia, Kiryluk, Krzysztof, Hodgin, Jeffrey, Alakwaa, Fadhl, Winfree, Seth, Jefferson, Nichole, Türkmen, Aydın, Gaut, Joseph, Gehlenborg, Nils, Phillips, Carrie, El-Achkar, Tarek, Dagher, Pierre, Hato, Takashi, Zhang, Kun, Himmelfarb, Jonathan, Kretzler, Matthias, Mollah, Shamim, Jain, Sanjay, Rauchman, Michael, and Eadon, Michael
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Humans ,Chromatin ,Kidney ,Kidney Tubules ,Proximal ,Health Status ,Cell Count - Abstract
There is a need to define regions of gene activation or repression that control human kidney cells in states of health, injury, and repair to understand the molecular pathogenesis of kidney disease and design therapeutic strategies. Comprehensive integration of gene expression with epigenetic features that define regulatory elements remains a significant challenge. We measure dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and H3K27ac, H3K4me1, H3K4me3, and H3K27me3 histone modifications to decipher the chromatin landscape and gene regulation of the kidney in reference and adaptive injury states. We establish a spatially-anchored epigenomic atlas to define the kidneys active, silent, and regulatory accessible chromatin regions across the genome. Using this atlas, we note distinct control of adaptive injury in different epithelial cell types. A proximal tubule cell transcription factor network of ELF3, KLF6, and KLF10 regulates the transition between health and injury, while in thick ascending limb cells this transition is regulated by NR2F1. Further, combined perturbation of ELF3, KLF6, and KLF10 distinguishes two adaptive proximal tubular cell subtypes, one of which manifested a repair trajectory after knockout. This atlas will serve as a foundation to facilitate targeted cell-specific therapeutics by reprogramming gene regulatory networks.
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- 2024
3. An atlas of healthy and injured cell states and niches in the human kidney.
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Lake, Blue, Menon, Rajasree, Winfree, Seth, Hu, Qiwen, Ferreira, Ricardo, Kalhor, Kian, Barwinska, Daria, Otto, Edgar, Ferkowicz, Michael, Diep, Dinh, Plongthongkum, Nongluk, Knoten, Amanda, Urata, Sarah, Mariani, Laura, Naik, Abhijit, Eddy, Sean, Zhang, Bo, Wu, Yan, Salamon, Diane, Williams, James, Wang, Xin, Balderrama, Karol, Hoover, Paul, Murray, Evan, Marshall, Jamie, Noel, Teia, Vijayan, Anitha, Hartman, Austin, Chen, Fei, Waikar, Sushrut, Rosas, Sylvia, Wilson, Francis, Palevsky, Paul, Kiryluk, Krzysztof, Sedor, John, Toto, Robert, Parikh, Chirag, Kim, Eric, Satija, Rahul, Greka, Anna, Macosko, Evan, Kharchenko, Peter, Gaut, Joseph, Hodgin, Jeffrey, Eadon, Michael, Dagher, Pierre, El-Achkar, Tarek, Kretzler, Matthias, Jain, Sanjay, and Zhang, Kun
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Humans ,Cell Nucleus ,Gene Expression Profiling ,Kidney ,Kidney Diseases ,Transcriptome ,Single-Cell Analysis ,Case-Control Studies ,Imaging ,Three-Dimensional - Abstract
Understanding kidney disease relies on defining the complexity of cell types and states, their associated molecular profiles and interactions within tissue neighbourhoods1. Here we applied multiple single-cell and single-nucleus assays (>400,000 nuclei or cells) and spatial imaging technologies to a broad spectrum of healthy reference kidneys (45 donors) and diseased kidneys (48 patients). This has provided a high-resolution cellular atlas of 51 main cell types, which include rare and previously undescribed cell populations. The multi-omic approach provides detailed transcriptomic profiles, regulatory factors and spatial localizations spanning the entire kidney. We also define 28 cellular states across nephron segments and interstitium that were altered in kidney injury, encompassing cycling, adaptive (successful or maladaptive repair), transitioning and degenerative states. Molecular signatures permitted the localization of these states within injury neighbourhoods using spatial transcriptomics, while large-scale 3D imaging analysis (around 1.2 million neighbourhoods) provided corresponding linkages to active immune responses. These analyses defined biological pathways that are relevant to injury time-course and niches, including signatures underlying epithelial repair that predicted maladaptive states associated with a decline in kidney function. This integrated multimodal spatial cell atlas of healthy and diseased human kidneys represents a comprehensive benchmark of cellular states, neighbourhoods, outcome-associated signatures and publicly available interactive visualizations.
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- 2023
4. WNT-dependent interaction between inflammatory fibroblasts and FOLR2+ macrophages promotes fibrosis in chronic kidney disease
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Cohen, Camille, Mhaidly, Rana, Croizer, Hugo, Kieffer, Yann, Leclere, Renaud, Vincent-Salomon, Anne, Robley, Catherine, Anglicheau, Dany, Rabant, Marion, Sannier, Aurélie, Timsit, Marc-Olivier, Eddy, Sean, Kretzler, Matthias, Ju, Wenjun, and Mechta-Grigoriou, Fatima
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- 2024
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5. Neuronally differentiated macula densa cells regulate tissue remodeling and regeneration in the kidney
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Gyarmati, Georgina, Shroff, Urvi Nikhil, Riquier-Brison, Anne, Desposito, Dorinne, Ju, Wenjun, Stocker, Sean D., Izuhara, Audrey, Deepak, Sachin, Calderon, Alejandra Becerra, Buford, James L., Kadoya, Hiroyuki, Moon, Ju-Young, Chen, Yibu, Rinschen, Markus M., Ahmadi, Nariman, Lau, Lester, Biemesderfer, Daniel, James, Aaron W., Minichiello, Liliana, Zlokovic, Berislav V., Gill, Inderbir S., Kretzler, Matthias, and Peti-Peterdi, Janos
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Neurons -- Physiological aspects -- Health aspects ,Chronic kidney failure -- Risk factors -- Care and treatment -- Models ,Regeneration (Botany) -- Analysis ,Cell differentiation -- Analysis ,Health care industry - Abstract
Tissue regeneration is limited in several organs, including the kidney, contributing to the high prevalence of kidney disease globally. However, evolutionary and physiological adaptive responses and the presence of renal progenitor cells suggest an existing remodeling capacity. This study uncovered endogenous tissue remodeling mechanisms in the kidney that were activated by the loss of body fluid and salt and regulated by a unique niche of a minority renal cell type called the macula densa (MD). Here, we identified neuronal differentiation features of MD cells that sense the local and systemic environment and secrete angiogenic, growth, and extracellular matrix remodeling factors, cytokines and chemokines, and control resident progenitor cells. Serial intravital imaging, MD nerve growth factor receptor and Wnt mouse models, and transcriptome analysis revealed cellular and molecular mechanisms of these MD functions. Human and therapeutic translation studies illustrated the clinical potential of MD factors, including CCN1, as a urinary biomarker and therapeutic target in chronic kidney disease. The concept that a neuronally differentiated key sensory and regulatory cell type responding to organ- specific physiological inputs controls local progenitors to remodel or repair tissues may be applicable to other organs and diverse tissue-regenerative therapeutic strategies., Introduction Regeneration of most tissues and organs in mammalians, particularly in humans, is limited (1), and the kidney is a prime example (2). Despite recent advances in regrowing or repairing [...]
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- 2024
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6. Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease
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Sandholm, Niina, Cole, Joanne B, Nair, Viji, Sheng, Xin, Liu, Hongbo, Ahlqvist, Emma, van Zuydam, Natalie, Dahlström, Emma H, Fermin, Damian, Smyth, Laura J, Salem, Rany M, Forsblom, Carol, Valo, Erkka, Harjutsalo, Valma, Brennan, Eoin P, McKay, Gareth J, Andrews, Darrell, Doyle, Ross, Looker, Helen C, Nelson, Robert G, Palmer, Colin, McKnight, Amy Jayne, Godson, Catherine, Maxwell, Alexander P, Groop, Leif, McCarthy, Mark I, Kretzler, Matthias, Susztak, Katalin, Hirschhorn, Joel N, Florez, Jose C, and Groop, Per-Henrik
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Human Genome ,Kidney Disease ,Prevention ,Genetics ,Diabetes ,Biotechnology ,2.1 Biological and endogenous factors ,Aetiology ,Renal and urogenital ,Metabolic and endocrine ,Good Health and Well Being ,Diabetes Mellitus ,Type 2 ,Diabetic Nephropathies ,Doublecortin-Like Kinases ,Fibrosis ,Genome-Wide Association Study ,Humans ,Intracellular Signaling Peptides and Proteins ,Kidney ,Polymorphism ,Single Nucleotide ,Protein Serine-Threonine Kinases ,Diabetes complications ,Diabetic kidney disease ,Genome-wide association study ,Meta-analysis ,Transcriptomics ,GENIE Consortium ,Genome-wide association study ,Meta-analysis ,Transcriptomics ,Clinical Sciences ,Paediatrics and Reproductive Medicine ,Public Health and Health Services ,Endocrinology & Metabolism - Abstract
Aims/hypothesisDiabetic kidney disease (DKD) is the leading cause of kidney failure and has a substantial genetic component. Our aim was to identify novel genetic factors and genes contributing to DKD by performing meta-analysis of previous genome-wide association studies (GWAS) on DKD and by integrating the results with renal transcriptomics datasets.MethodsWe performed GWAS meta-analyses using ten phenotypic definitions of DKD, including nearly 27,000 individuals with diabetes. Meta-analysis results were integrated with estimated quantitative trait locus data from human glomerular (N=119) and tubular (N=121) samples to perform transcriptome-wide association study. We also performed gene aggregate tests to jointly test all available common genetic markers within a gene, and combined the results with various kidney omics datasets.ResultsThe meta-analysis identified a novel intronic variant (rs72831309) in the TENM2 gene associated with a lower risk of the combined chronic kidney disease (eGFR9.3×10-9). Gene-level analysis identified ten genes associated with DKD (COL20A1, DCLK1, EIF4E, PTPRN-RESP18, GPR158, INIP-SNX30, LSM14A and MFF; p
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- 2022
7. Gene Expression Sets and Renal Profiling from the Renal AL Amyloid Involvement and NEOD00 (RAIN) Trial
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Varga, Cindy, Eichinger, Felix, Nair, Viji, Naik, Abhijit S., Nasr, Samih H., Fogo, Agnes B., Toskic, Denis, Kretzler, Matthias, and Comenzo, Raymond L.
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- 2024
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8. Elevated Exposure to Air Pollutants Accelerates Primary Glomerular Disease Progression
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Troost, Jonathan P., D’Souza, Jennifer, Buxton, Miatta, Kshirsagar, Abhijit V., Engel, Lawrence S., O’Lenick, Cassandra R., Smoyer, William E., Klein, Jon, Ju, Wenjun, Eddy, Sean, Helmuth, Margaret, Mariani, Laura H., Kretzler, Matthias, and Trachtman, Howard
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- 2024
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9. A reference tissue atlas for the human kidney
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Hansen, Jens, Sealfon, Rachel, Menon, Rajasree, Eadon, Michael T, Lake, Blue B, Steck, Becky, Anjani, Kavya, Parikh, Samir, Sigdel, Tara K, Zhang, Guanshi, Velickovic, Dusan, Barwinska, Daria, Alexandrov, Theodore, Dobi, Dejan, Rashmi, Priyanka, Otto, Edgar A, Rivera, Miguel, Rose, Michael P, Anderton, Christopher R, Shapiro, John P, Pamreddy, Annapurna, Winfree, Seth, Xiong, Yuguang, He, Yongqun, de Boer, Ian H, Hodgin, Jeffrey B, Barisoni, Laura, Naik, Abhijit S, Sharma, Kumar, Sarwal, Minnie M, Zhang, Kun, Himmelfarb, Jonathan, Rovin, Brad, El-Achkar, Tarek M, Laszik, Zoltan, He, John Cijiang, Dagher, Pierre C, Valerius, M Todd, Jain, Sanjay, Satlin, Lisa M, Troyanskaya, Olga G, Kretzler, Matthias, Iyengar, Ravi, Azeloglu, Evren U, and Project, Kidney Precision Medicine
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Biotechnology ,Genetics ,Kidney Disease ,Aetiology ,2.1 Biological and endogenous factors ,Underpinning research ,1.1 Normal biological development and functioning ,Generic health relevance ,Renal and urogenital ,Good Health and Well Being ,Humans ,Kidney ,Kidney Diseases ,Metabolomics ,Proteomics ,Transcriptome ,Kidney Precision Medicine Project - Abstract
Kidney Precision Medicine Project (KPMP) is building a spatially specified human kidney tissue atlas in health and disease with single-cell resolution. Here, we describe the construction of an integrated reference map of cells, pathways, and genes using unaffected regions of nephrectomy tissues and undiseased human biopsies from 56 adult subjects. We use single-cell/nucleus transcriptomics, subsegmental laser microdissection transcriptomics and proteomics, near-single-cell proteomics, 3D and CODEX imaging, and spatial metabolomics to hierarchically identify genes, pathways, and cells. Integrated data from these different technologies coherently identify cell types/subtypes within different nephron segments and the interstitium. These profiles describe cell-level functional organization of the kidney following its physiological functions and link cell subtypes to genes, proteins, metabolites, and pathways. They further show that messenger RNA levels along the nephron are congruent with the subsegmental physiological activity. This reference atlas provides a framework for the classification of kidney disease when multiple molecular mechanisms underlie convergent clinical phenotypes.
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- 2022
10. Interferon-γ induces combined pyroptotic angiopathy and APOL1 expression in human kidney disease
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Juliar, Benjamin A., Stanaway, Ian B., Sano, Fumika, Fu, Hongxia, Smith, Kelly D., Akilesh, Shreeram, Scales, Suzie J., El Saghir, Jamal, Bhatraju, Pavan K., Liu, Esther, Yang, Johnson, Lin, Jennie, Eddy, Sean, Kretzler, Matthias, Zheng, Ying, Himmelfarb, Jonathan, Harder, Jennifer L., and Freedman, Benjamin S.
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- 2024
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11. Protective role for kidney TREM2high macrophages in obesity- and diabetes-induced kidney injury
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Subramanian, Ayshwarya, Vernon, Katherine A., Zhou, Yiming, Marshall, Jamie L., Alimova, Maria, Arevalo, Carlos, Zhang, Fan, Slyper, Michal, Waldman, Julia, Montesinos, Monica S., Dionne, Danielle, Nguyen, Lan T., Cuoco, Michael S., Dubinsky, Dan, Purnell, Jason, Keller, Keith, Sturner, Samuel H., Grinkevich, Elizabeth, Ghoshal, Ayan, Kotek, Amanda, Trivioli, Giorgio, Richoz, Nathan, Humphrey, Mary B., Darby, Isabella G., Miller, Sarah J., Xu, Yingping, Weins, Astrid, Chloe-Villani, Alexandra, Chang, Steven L., Kretzler, Matthias, Rosenblatt-Rosen, Orit, Shaw, Jillian L., Zimmerman, Kurt A., Clatworthy, Menna R., Regev, Aviv, and Greka, Anna
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- 2024
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12. Unbiased kidney-centric molecular categorization of chronic kidney disease as a step towards precision medicine
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Reznichenko, Anna, Nair, Viji, Eddy, Sean, Fermin, Damian, Tomilo, Mark, Slidel, Timothy, Ju, Wenjun, Henry, Ian, Badal, Shawn S., Wesley, Johnna D., Liles, John T., Moosmang, Sven, Williams, Julie M., Quinn, Carol Moreno, Bitzer, Markus, Hodgin, Jeffrey B., Barisoni, Laura, Karihaloo, Anil, Breyer, Matthew D., Duffin, Kevin L., Patel, Uptal D., Magnone, Maria Chiara, Bhat, Ratan, and Kretzler, Matthias
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- 2024
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13. Strong protective effect of the APOL1 p.N264K variant against G2-associated focal segmental glomerulosclerosis and kidney disease
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Gupta, Yask, Friedman, David J., McNulty, Michelle T., Khan, Atlas, Lane, Brandon, Wang, Chen, Ke, Juntao, Jin, Gina, Wooden, Benjamin, Knob, Andrea L., Lim, Tze Y., Appel, Gerald B., Huggins, Kinsie, Liu, Lili, Mitrotti, Adele, Stangl, Megan C., Bomback, Andrew, Westland, Rik, Bodria, Monica, Marasa, Maddalena, Shang, Ning, Cohen, David J., Crew, Russell J., Morello, William, Canetta, Pietro, Radhakrishnan, Jai, Martino, Jeremiah, Liu, Qingxue, Chung, Wendy K., Espinoza, Angelica, Luo, Yuan, Wei, Wei-Qi, Feng, Qiping, Weng, Chunhua, Fang, Yilu, Kullo, Iftikhar J., Naderian, Mohammadreza, Limdi, Nita, Irvin, Marguerite R., Tiwari, Hemant, Mohan, Sumit, Rao, Maya, Dube, Geoffrey K., Chaudhary, Ninad S., Gutiérrez, Orlando M., Judd, Suzanne E., Cushman, Mary, Lange, Leslie A., Lange, Ethan M., Bivona, Daniel L., Verbitsky, Miguel, Winkler, Cheryl A., Kopp, Jeffrey B., Santoriello, Dominick, Batal, Ibrahim, Pinheiro, Sérgio Veloso Brant, Oliveira, Eduardo Araújo, Simoes e Silva, Ana Cristina, Pisani, Isabella, Fiaccadori, Enrico, Lin, Fangming, Gesualdo, Loreto, Amoroso, Antonio, Ghiggeri, Gian Marco, D’Agati, Vivette D., Magistroni, Riccardo, Kenny, Eimear E., Loos, Ruth J. F., Montini, Giovanni, Hildebrandt, Friedhelm, Paul, Dirk S., Petrovski, Slavé, Goldstein, David B., Kretzler, Matthias, Gbadegesin, Rasheed, Gharavi, Ali G., Kiryluk, Krzysztof, Sampson, Matthew G., Pollak, Martin R., and Sanna-Cherchi, Simone
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- 2023
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14. An integrated organoid omics map extends modeling potential of kidney disease
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Lassé, Moritz, El Saghir, Jamal, Berthier, Celine C., Eddy, Sean, Fischer, Matthew, Laufer, Sandra D., Kylies, Dominik, Hutzfeldt, Arvid, Bonin, Léna Lydie, Dumoulin, Bernhard, Menon, Rajasree, Vega-Warner, Virginia, Eichinger, Felix, Alakwaa, Fadhl, Fermin, Damian, Billing, Anja M., Minakawa, Akihiro, McCown, Phillip J., Rose, Michael P., Godfrey, Bradley, Meister, Elisabeth, Wiech, Thorsten, Noriega, Mercedes, Chrysopoulou, Maria, Brandts, Paul, Ju, Wenjun, Reinhard, Linda, Hoxha, Elion, Grahammer, Florian, Lindenmeyer, Maja T., Huber, Tobias B., Schlüter, Hartmut, Thiel, Steffen, Mariani, Laura H., Puelles, Victor G., Braun, Fabian, Kretzler, Matthias, Demir, Fatih, Harder, Jennifer L., and Rinschen, Markus M.
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- 2023
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15. Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images
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Lee, Joonsang, Warner, Elisa, Shaikhouni, Salma, Bitzer, Markus, Kretzler, Matthias, Gipson, Debbie, Pennathur, Subramaniam, Bellovich, Keith, Bhat, Zeenat, Gadegbeku, Crystal, Massengill, Susan, Perumal, Kalyani, Saha, Jharna, Yang, Yingbao, Luo, Jinghui, Zhang, Xin, Mariani, Laura, Hodgin, Jeffrey B., and Rao, Arvind
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- 2023
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16. Single-cell transcriptomics reveals a mechanosensitive injury signaling pathway in early diabetic nephropathy
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Liu, Shuya, Zhao, Yu, Lu, Shun, Zhang, Tianran, Lindenmeyer, Maja T., Nair, Viji, Gies, Sydney E., Wu, Guochao, Nelson, Robert G., Czogalla, Jan, Aypek, Hande, Zielinski, Stephanie, Liao, Zhouning, Schaper, Melanie, Fermin, Damian, Cohen, Clemens D., Delic, Denis, Krebs, Christian F., Grahammer, Florian, Wiech, Thorsten, Kretzler, Matthias, Meyer-Schwesinger, Catherine, Bonn, Stefan, and Huber, Tobias B.
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- 2023
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17. Multiplexed droplet single-cell sequencing (Mux-Seq) of normal and transplant kidney
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Rashmi, Priyanka, Sur, Swastika, Sigdel, Tara K, Boada, Patrick, Schroeder, Andrew W, Damm, Izabella, Kretzler, Matthias, Hodgin, Jeff, Hartoularos, George, Ye, Chun Jimmie, Sarwal, Minnie M, and Project, For The Kidney Precision Medicine
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Biomedical and Clinical Sciences ,Clinical Sciences ,Immunology ,Kidney Disease ,Transplantation ,Biotechnology ,Organ Transplantation ,Underpinning research ,1.1 Normal biological development and functioning ,Renal and urogenital ,Allografts ,Endothelial Cells ,Graft Rejection ,Humans ,Kidney ,Kidney Transplantation ,basic (laboratory) research ,science ,kidney (allograft) function ,dysfunction ,kidney biology ,kidney transplantation ,nephrology ,rejection ,translational research ,Kidney Precision Medicine Project ,basic (laboratory) research/science ,kidney (allograft) function/dysfunction ,kidney transplantation/nephrology ,translational research/science ,Medical and Health Sciences ,Surgery ,Clinical sciences - Abstract
Maintenance of systemic homeostasis by kidney requires the coordinated response of diverse cell types. The use of single-cell RNA sequencing (scRNAseq) for patient tissue samples remains fraught with difficulties with cell isolation, purity, and experimental bias. The ability to characterize immune and parenchymal cells during transplant rejection will be invaluable in defining transplant pathology where tissue availability is restricted to needle biopsy fragments. Herein, we present feasibility data for multiplexing approach for droplet scRNAseq (Mux-Seq). Mux-Seq has the potential to minimize experimental batch bias and variation even with very small sample input. In this first proof-of-concept study for this approach, explant tissues from six normal and two transplant recipients after multiple early post-transplant rejection episodes leading to nephrectomy due to aggressive antibody mediated rejection, were pooled for Mux-Seq. A computational tool, Demuxlet was applied for demultiplexing the individual cells from the pooled experiment. Each sample was also applied individually in a single microfluidic run (singleplex) to correlate results with the pooled data from the same sample. Our applied protocol demonstrated that data from Mux-Seq correlated highly with singleplex (Pearson coefficient 0.982) sequencing results, with the ability to identify many known and novel kidney cell types including different infiltrating immune cells. Trajectory analysis of proximal tubule and endothelial cells demonstrated separation between healthy and injured kidney from transplant explant suggesting evolving stages of cell- specific differentiation in alloimmune injury. This study provides the technical groundwork for understanding the pathogenesis of alloimmune injury and host tissue response in transplant rejection and normal human kidney and provides a protocol for optimized processing precious and low input human kidney biopsy tissue for larger scale studies.
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- 2022
18. Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease
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Smyth, Laura J, Dahlström, Emma H, Syreeni, Anna, Kerr, Katie, Kilner, Jill, Doyle, Ross, Brennan, Eoin, Nair, Viji, Fermin, Damian, Nelson, Robert G, Looker, Helen C, Wooster, Christopher, Andrews, Darrell, Anderson, Kerry, McKay, Gareth J, Cole, Joanne B, Salem, Rany M, Conlon, Peter J, Kretzler, Matthias, Hirschhorn, Joel N, Sadlier, Denise, Godson, Catherine, Florez, Jose C, Forsblom, Carol, Maxwell, Alexander P, Groop, Per-Henrik, Sandholm, Niina, and McKnight, Amy Jayne
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Biological Sciences ,Genetics ,Autoimmune Disease ,Diabetes ,Human Genome ,Kidney Disease ,Aetiology ,2.1 Biological and endogenous factors ,Metabolic and endocrine ,Renal and urogenital ,Humans ,DNA Methylation ,Epigenome ,Diabetic Nephropathies ,Epigenesis ,Genetic ,Diabetes Mellitus ,Type 1 ,Biomarkers ,DNA ,Genome-Wide Association Study ,CpG Islands ,GENIE consortium - Abstract
Type 1 diabetes affects over nine million individuals globally, with approximately 40% developing diabetic kidney disease. Emerging evidence suggests that epigenetic alterations, such as DNA methylation, are involved in diabetic kidney disease. Here we assess differences in blood-derived genome-wide DNA methylation associated with diabetic kidney disease in 1304 carefully characterised individuals with type 1 diabetes and known renal status from two cohorts in the United Kingdom-Republic of Ireland and Finland. In the meta-analysis, we identify 32 differentially methylated CpGs in diabetic kidney disease in type 1 diabetes, 18 of which are located within genes differentially expressed in kidneys or correlated with pathological traits in diabetic kidney disease. We show that methylation at 21 of the 32 CpGs predict the development of kidney failure, extending the knowledge and potentially identifying individuals at greater risk for diabetic kidney disease in type 1 diabetes.
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- 2022
19. Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project
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Lake, Blue, Zhang, Kun, Lecker, Stewart, Morales, Alexander, Bogen, Steve, Amodu, Afolarin A., Beck, Laurence, Henderson, Joel, Ilori, Titlayo, Maikhor, Shana, Onul, Ingrid, Schmidt, Insa, Verma, Ashish, Waikar, Sushrut, Yadati, Pranav, Yu, Guanghao, Colona, Mia R., McMahon, Gearoid, Hacohen, Nir, Greka, Anna, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Bush, William, Chen, Yijiang, Crawford, Dana, Madabhushi, Anant, Viswanathan, Vidya S., Bush, Lakeshia, Cooperman, Leslie, Gadegbeku, Crystal, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’Malley, Charles, O’Toole, John, Palmer, Ellen, Poggio, Emilio, Spates-Harden, Kassandra, Sedor, John, Sendrey, Dianna, Taliercio, Jonathan, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Berroue, Cecilia, Bomback, Andrew, Canetta, Pietro A., D’Agati, Vivette, Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Sabatello, Maya, Shang, Ning, de Pinho Gonçalves, Joana, Lardenoije, Roy, Migas, Lukasz, Van de Plas, Raf, Rennke, Helmut, Azeloglu, Evren, Campbell, Kirk, Coca, Steven, He, Cijang, He, John, Iyengar, Srinivas Ravi, Lefferts, Seanee, Nadkarni, Girish, Patel, Marissa, Tokita, Joji, Ward, Stephen, Xiong, Yuguang, Verdoes, Abraham, Sabo, Angela, Barwinska, Daria, Gisch, Debora Lidia, Williams, James, Kelly, Katherine, Dunn, Kenneth, Asghari, Mahla, Eadon, Michael, Ferkowicz, Michael, Dagher, Pierre, Ferreira, Ricardo Melo, Winfree, Seth, Bledsoe, Sharon, Wofford, Stephanie, El-Achkar, Tarek, Sutton, Timothy, Bowen, William, Cheng, Ying-Hua, Slade, Austen, Record, Elizabeth, Cheng, Yinghua, Borner, Katy, Herr, Bruce, Jain, Yashvardhan, Quardokus, Ellen, Atta, Mohamed, Bernard, Lauren, Menez, Steven, Parikh, Chirag, Corona Villalobos, Celia Pamela, Wang, Ashley, Wen, Yumeng, Xu, Alan, Chen, Sarah, Donohoe, Isabel, Johansen, Camille, Rosas, Sylvia, Sun, Jennifer, Ardayfio, Joseph, Bebiak, Jack, Campbell, Taneisha, Fox, Monica, Knight, Richard, Koewler, Robert, Pinkeney, Roy, Saul, John, Shpigel, Anna, Prasad, Pottumarthi, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher, Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George, Mao, Weiguang, Sealfon, Rachel, Troyanskaya, Olga, Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Anjani, Kavya, Laszik, Zoltan G., Mukatash, Tariq, Nolan, Garry, Beyda, David, Bracamonte, Erika, Brosius, Frank, Campos, Baltazar, Marquez, Nicole, Mendoza, Katherine, Scott, Raymond, Thajudeen, Bijin, Tsosie, Rebecca, Woodhead, Gregory, Saunders, Milda, Alloway, Rita R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Bjornstad, Petter, Hsieh, Elena, Kendrick, Jessica, Pyle, Laura, Thurman, Joshua, Vinovskis, Carissa, Wrobel, Julia, Lucarelli, Nicholas, Sarder, Pinaki, Bui, James, Carmona-Powell; Ron Gaba, Eunice, Kelly, Tanika, Lash, James, Meza, Natalie, Redmond, Devona, Renteria, Amada, Ricardo, Ana, Setty, Suman, Srivastava, Anand, Alakwaa, Fadhl, Ascani, Heather, Balis, Ul, Bitzer, Markus, Blanc, Victoria, Bonevich, Nikki, Conser, Ninive, Demeke, Dawit, Dull, Rachel, Eddy, Sean, Frey, Renee, Hartman, John, He, Yongqun Oliver, Hodgin, Jeffrey, Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura, McCown, Phillip, Menon, Rajasree, Nair, Viji, Otto, Edgar, Reamy, Rebecca, Rose, Michael, Schaub, Jennifer, Steck, Becky, Wright, Zachary, Coleman, Alyson, Henderson-Brown; Jerica Berge, Dorisann, Caramori, Maria Luiza, Adeyi, Oyedele, Nachman, Patrick, Safadi, Sami, Flanagan, Siobhan, Ma, Sisi, Klett, Susan, Wolf, Susan, Harindhanavudhi, Tasma, Rao, Via, Bream, Peter, Froment, Anne, Kelley, Sara, Mottl, Amy, Chaudhury; Evan Zeitler, Prabir Roy, Bender, Filitsa, Elder, Michele, Gilliam, Matthew, Hall, Daniel E., Kellum, John A., Murugan, Raghavan, Palevsky, Paul, Rosengart, Matthew, Tan, Roderick, Tublin, Mitchell, Winters, James, Bansal, Shweta, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Cai, Qi, Hendricks, Allen, Hedayati, Susan, Kermani, Asra, Lee, Simon C., Ma, Shihong, Miller, Richard Tyler, Moe, Orson W., Park, Harold, Patel, Jiten, Pillai, Anil, Sambandam, Kamalanathan, Torrealba, Jose, Toto, Robert D., Vazquez, Miguel, Wang, Nancy, Wen, Natasha, Zhang, Dianbo, Alpers, Charles, Berglund, Ashley, Berry, Brooke, Blank, Kristina, Brown, Keith, Carson, Jonas, Daniel, Stephen, de Boer, Ian H., Dighe, Ashveena L., Dowd, Frederick, Grewenow, Stephanie M., Himmelfarb, Jonathan, Hoofnagle, Andrew, Jefferson, Nichole, Larson, Brandon, Limonte, Christine, McClelland, Robyn, Mooney, Sean, Nam, Yunbi, Park, Christopher, Phuong, Jimmy, Rezaei, Kasra, Roberts, Glenda, Sarkisova, Natalya, Shankland, Stuart, Snyder, Jaime, Stutzke, Christy, Tuttle, Katherine, Wangperawong, Artit, Wilcox, Adam, Williams, Kayleen, Young, Bessie, Allen, Jamie, Caprioli, Richard M., de Caestecker, Mark, Djambazova, Katerina, Dufresne, Martin, Farrow, Melissa, Fogo, Agnes, Sharman, Kavya, Spraggins, Jeffrey, Basta, Jeannine, Conlon, Kristine, Diettman, Sabine M., Gaut, Joseph, Kaushal, Madhurima, Jain, Sanjay, Knoten, Amanda, Minor, Brittany, Nwanne, Gerald, Vijayan, Anitha, Zhang, Bo, Arora, Tanima, Cantley, Lloyd, Victoria Castro, Angela M., Kakade, Vijayakumar, Moeckel, Gilbert, Moledina, Dennis, Shaw, Melissa, Wilson, Francis P., El-Achkar, Tarek M., and Eadon, Michael T.
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- 2024
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20. Association of COVID-19 Versus COVID-19 Vaccination With Kidney Function and Disease Activity in Primary Glomerular Disease: A Report of the Cure Glomerulonephropathy Study
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Ahn, Wooin, Appel, Gerald, Appelbaum, Paul, Babayev, Revekka, Chan, Brenda, D’Agati, Vivette Denise, Dogra, Samitri, Fernandez, Hilda, Gharavi, Ali, Hines, William, Husain, Syed Ali, Jain, Namrata, Kiryluk, Krzysztof, Lin, Fangming, Marasa, Maddalena, Markowitz, Glen, Rasouly, Hila Milo, Mohan, Sumit, Mongera, Nicola, Nestor, Jordan, Nickolas, Thomas, Radhakrishnan, Jai, Rao, Maya, Sanna-Cherchi, Simone, Shirazian, Shayan, Stokes, Michael Barry, Uy, Natalie, Valeri, Anthony, Vena, Natalie, Foroncewicz, Bartosz, Moszczuk, Barbara, Mucha, Krzysztof, Perkowska-Ptasińska, Agnieszka, Ghiggeri, Gian Marco, Lugani, Francesca, Ambruzs, Josephine, Liapis, Helen, Baracco, Rossana, Jain, Amrish, Isa Ashoor, Aviles, Diego, Srivastava, Tarak, Ahn, Sun-Young, Devarajan, Prasad, Erkan, Elif, Claes, Donna, Stone, Hillarey, Mason, Sherene, Gbadegesin, Rasheed, Gomez-Mendez, Liliana, Yin, Hong (Julie), Cai, Yi, Jens, Goebel, Steinke, Julia, Weaver, Donald, Lane, Jerome, Cramer, Carl, Pan, Cindy, Paloian, Neil, Sreedharan, Rajasree, Selewski, David, Twombley, Katherine, Bowers, Corinna, Dreher, Mary, Kallash, Mahmoud, Mahan, John, Sharpe, Samantha, Al-Uzri, Amira, Iragorri, Sandra, Belsha, Craig, Alge, Joseph, Braun, Michael, Gomez, A.C., Wenderfer, Scott, Vasylyeva, Tetyana, Feig, Daniel, Fuentes, Gabriel Cara, Hannah, Melisha, Nester, Carla, Chishti, Aftab, Klein, Jon, Katsoufis, Chryso, Seeherunvong, Wacharee, Wong, Craig, Mathews, Nisha, Barcia, John, Swiatecka-Urban, Agnes, Bartosh, Sharon, Hunley, Tracy, Dharnidharka, Vikas, Gaut, Joseph, Laurin, Louis-Philippe, Royal, Virginie, Achanti, Anand, Budisavljevic, Milos, Self, Sally, Ghossein, Cybele, Peleg, Yonatan, Wadhwani, Shikha, Almaani, Salem, Ayoub, Isabelle, Nadasdy, Tibor, Parikh, Samir, Rovin, Brad, Chang, Anthony, Fatima, Huma, Julian, Bruce, Novak, Jan, Renfrow, Matthew, Rizk, Dana, Chen, Dhruti, Derebail, Vimal, Falk, Ronald, Gibson, Keisha, Hogan, Susan, Jain, Koyal, Jennette, J. Charles, Mottl, Amy, Poulton, Caroline, Saha, Manish Kanti, Fogo, Agnes, Sanghani, Neil, Kidd, Jason, Muthusamy, Selvaraj, Hou, Jean, Lemley, Kevin, Mika, Warren, Russo, Pierre, Denburg, Michelle, Kogon, Amy, Meyers, Kevin, Pradhan, Madhura, O’Toole, John, Sedor, John, Sethna, Christine, Vento, Suzanne, Atta, Mohamed, Bagnasco, Serena, Neu, Alicia, Sperati, John, Adler, Sharon, Dai, Tiane, Dukkipati, Ram, Fervenza, Fernando, Sethi, Sanjeev, Kaskel, Frederick, Brathwaite, Kaye, Reidy, Kimberly, Weisstuch, Joseph, Wu, Ming, Zhdanova, Olga, Heymann, Jurgen, Kopp, Jeffrey, Waldman, Meryl, Winkler, Cheryl, Krissberg, Jill, Lafayette, Richard, Fahmeedah, Kamal, Talley, Elizabeth, Hladunewich, Michelle, Parekh, Rulan, Avila-Casado, Carmen, Cattran, Daniel, Heather, Reich, Boll, Philip, Drexler, Yelena, Fornoni, Alessia, Blazius, Brooke, Hodgin, Jeffrey, Oliverio, Andrea, Hogan, Jon, Palmer, Matthew, Abromovitz, Blaise, Mortiz, Michael, Alpers, Charles, Jefferson, J. Ashley, Brown, Elizabeth, Sambandam, Kamal, Roehm, Bethany, Graff, John, Gillespie, Brenda, Kretzler, Matthias, Nast, Cynthia, Barisoni, Laura, Guay-Woodford, Lisa M., Wang, Chia-shi, Glenn, Dorey A., Helmuth, Margaret, Smith, Abigail R., Bomback, Andrew S., Canetta, Pietro A., Coppock, Gaia M., Khalid, Myda, Tuttle, Katherine R., Bou-Matar, Raed, Greenbaum, Larry A., Robinson, Bruce M., Holzman, Lawrence B., Smoyer, William E., Rheault, Michelle N., Gipson, Debbie, and Mariani, Laura H.
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- 2024
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21. Molecular Signatures of Glomerular Neovascularization in a Patient with Diabetic Kidney Disease
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Ferkowicz, Michael J., Verma, Ashish, Barwinska, Daria, Melo Ferreira, Ricardo, Henderson, Joel M., Kirkpatrick, Mary, Silva, Paolo S., Steenkamp, Devin W., Phillips, Carrie L., Waikar, Sushrut S., Sutton, Timothy A., Lake, Blue, Zhang, Kun, Lecker, Stewart, Morales, Alexander, Stillman, Isaac, Bogen, Steve, Amodu, Afolarin A., Beck, Laurence, Henderson, Joel, Ilori, Titlayo, Maikhor, Shana, Onul, Ingrid, Schmidt, Insa, Verma, Ashish, Waikar, Sushrut, Yadati, Pranav, Yu, Guanghao, Colona, Mia R., McMahon, Gearoid, Weins, Astrid, Hacohen, Nir, Greka, Anna, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Bush, William, Chen, Yijiang, Crawford, Dana, Madabhushi, Anant, Viswanathan, Vidya S., Bush, Lakeshia, Cooperman, Leslie, Gadegbeku, Crystal, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’Malley, Charles, O’Toole, John, Palmer, Ellen, Poggio, Emilio, Spates-Harden, Kassandra, Sedor, John, Sendrey, Dianna, Taliercio, Jonathan, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Berroue, Cecilia, Bomback, Andrew, Canetta, Pietro A., D’Agati, Vivette, Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Sabatello, Maya, Shang, Ning, Varela, German, de Pinho Gonçalves, Joana, Lardenoije, Roy, Migas, Lukasz, Van de Plas, Raf, Barisoni, Laura, Rennke, Helmut, Azeloglu, Evren, Campbell, Kirk, Coca, Steven, He, Cijang, He, John, Iyengar, Srinivas Ravi, Lefferts, Seanee, Nadkarni, Girish, Patel, Marissa, Tokita, Joji, Ward, Stephen, Xiong, Yuguang, Verdoes, Abraham, Sabo, Angela, Barwinska, Daria, Gisch, Debora Lidia, Williams, James, Kelly, Katherine, Dunn, Kenneth, Asghari, Mahla, Eadon, Michael, Ferkowicz, Michael, Dagher, Pierre, Ferreira, Ricardo Melo, Winfree, Seth, Bledsoe, Sharon, Wofford, Stephanie, El-Achkar, Tarek, Sutton, Timothy, Bowen, William, Cheng, Ying-Hua, Slade, Austen, Record, Elizabeth, Cheng, Yinghua, Borner, Katy, Herr, Bruce, Jain, Yashvardhan, Quardokus, Ellen, Atta, Mohamed, Bernard, Lauren, Menez, Steven, Parikh, Chirag, Corona Villalobos, Celia Pamela, Wang, Ashley, Wen, Yumeng, Xu, Alan, Chen, Sarah, Donohoe, Isabel, Johansen, Camille, Rosas, Sylvia, Sun, Jennifer, Ardayfio, Joseph, Bebiak, Jack, Brown, Keith, Campbell, Taneisha, Fox, Monica, Hayashi, Lynda, Jefferson, Nichole, Richard Knight, Jennifer Jones, Koewler, Robert, Pinkeney, Roy, Saul, John, Shpigel, Anna, Stutzke, Christy, Prasad, Pottumarthi, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher, Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George, Mao, Weiguang, Sealfon, Rachel, Troyanskaya, Olga, Wong, Aaron, Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Lutnick, Brendon, Anjani, Kavya, Laszik, Zoltan G., Mukatash, Tariq, Nolan, Garry, Beyda, David, Bracamonte, Erika, Brosius, Frank, Campos, Baltazar, Marquez, Nicole, Mendoza, Katherine, Scott, Raymond, Thajudeen, Bijin, Tsosie, Rebecca, Woodhead, Gregory, Saunders, Milda, Alloway, Rita R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Bjornstad, Petter, Hsieh, Elena, Kendrick, Jessica, Pyle, Laura, Thurman, Joshua, Vinovskis, Carissa, Wrobel, Julia, Lucarelli, Nicholas, Sarder, Pinaki, Bui, James, Carmona-Powell, Eunice, Gaba, Ron, Kelly, Tanika, Lash, James, Meza, Natalie, Redmond, Devona, Renteria, Amada, Ricardo, Ana, Setty, Suman, Srivastava, Anand, Alakwaa, Fadhl, Ascani, Heather, Balis, Ul, Bitzer, Markus, Blanc, Victoria, Bonevich, Nikki, Conser, Ninive, Demeke, Dawit, Dull, Rachel, Eddy, Sean, Frey, Renee, Hartman, John, He, Yongqun Oliver, Hodgin, Jeffrey, Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura, McCown, Phillip, Menon, Rajasree, Nair, Viji, Otto, Edgar, Reamy, Rebecca, Rose, Michael, Schaub, Jennifer, Steck, Becky, Wright, Zachary, Coleman, Alyson, Henderson-Brown, Dorisann, Berge, Jerica, Caramori, Maria Luiza, Adeyi, Oyedele, Nachman, Patrick, Safadi, Sami, Flanagan, Siobhan, Ma, Sisi, Klett, Susan, Wolf, Susan, Harindhanavudhi, Tasma, Rao, Via, Bream, Peter, Froment, Anne, Kelley, Sara, Mottl, Amy, Roy-Chaudhury, Prabir, Zeitler, Evan, Bender, Filitsa, Elder, Michele, Gilliam, Matthew, Hall, Daniel E., Kellum, John A., Murugan, Raghavan, Palevsky, Paul, Rosengart, Matthew, Tan, Roderick, Tublin, Mitchell, Winters, James, Bansal, Shweta, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Cai, Qi, Hendricks, Allen, Hedayati, Susan, and Asra
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- 2024
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22. Participant Experience with Protocol Research Kidney Biopsies in the Kidney Precision Medicine Project
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Victoria-Castro, Angela M., Corona-Villalobos, Celia P., Xu, Alan Y., Onul, Ingrid, Huynh, Courtney, Chen, Sarah W., Ugwuowo, Ugochukwu, Sarkisova, Natalya, Dighe, Ashveena L., Blank, Kristina N., Blanc, Victoria M., Rose, Michael P., Himmelfarb, Jonathan, de Boer, Ian H., Tuttle, Katherine R., Roberts, Glenda V., Alexandrov, Theodore, Alloway, Rita R., Alpers, Charles E., Amodu, Afolarin A., Anderton, Christopher R., Anjani, Kavya, Appelbaum, Paul, Ardayfio, Joseph, Arora, Tanima, Ascani, Heather, El-Achkar, Tarek M., Aulisio, Mark, Azeloglu, Evren U., Balderes, Olivia, Balis, Ulysses G.J., Bansal, Shweta, Barasch, Jonathan M., Bansal, Shweta, Barkell, Alex, Barwinska, Daria, Basit, Mujeeb, Basta, Jeanine, Bebiak, Jack, Beck, Laurence H., Bender, Filitsa, Berglund, Ashley, Bernard, Lauren, Berrouet, Cecilia, Berry, Brooke, Bjornstad, Petter M., Blanc, Victoria M., Blank, Kristina N., Bledsoe, Sharon, Boada, Patrick, Bogen, Steve, Bomback, Andrew S., Bonevich, Nikole, Borner, Katy, Brown, Keith, Bueckle, Andreas, Burg, Ashley R., Burgess, Adam, Bush, Lakeshia, Bush, William S., Campbell, Catherine E., Campbell, Taneisha, Canetta, Pietro A., Cantley, Lloyd G., Caprioli, Richard M., Carson, Jonas, Chen, Sarah, Chen, Yijiang M., Cheng, Yinghua, Cimino, Jim, Colona, Mia R., Conser, Ninive C., Cooperman, Leslie, Crawford, Dana C., DʼAgati, Vivette D., Dagher, Pierre C., Daniel, Stephen, Daratha, Kenn, de Boer, Ian H., Diettman, Sabine M., Dighe, Ashveena L., Donohoe, Isabel, Dowd, Frederick, Dunn, Kenneth W., Eadon, Michael T., Eddy, Sean, Elder, Michele M., Ferkowicz, Michael J., Frey, Renee, Gadegbeku, Crystal A., Gaut, Joseph P., Gilliam, Matthew, Ginley, Brandon, Gisch, Debora, Goltsev, Yury, Gonzalez-Vicente, Agustin, Greka, Anna, Grewenow, Stephanie M., Hacohen, Nir, Hall, Daniel E., Hansen, Jens, Hayashi, Lynda, He, Cijang, He, Yougqun, Hedayati, S. Susan, Henderson, Joel M., Hendricks, Allen H., Herlitz, Leal, Herr, Bruce W., Himmelfarb, Jonathan, Hodgin, Jeffrey B., Hoofnagle, Andrew N., Hoover, Paul J., Ilori, Titlayo, Iyengar, Ravi, Jain, Sanjay, Jain, Yashvardhan, Janowczyk, Andrew, Jefferson, Nichole, Johansen, Camille, Jolly, Stacey, Kakade, Vijaykumar R., Kellum, John A., Kelly, Katherine J., Kermani, Asra, Kiryluk, Krzysztof, Knight, Richard, Koewler, Robert, Kretzler, Matthias, Kudose, Satoru, Lake, Blue B., Larson, Brandon, Laszik, Zoltan G., Lecker, Stewart H., Lee, Paul J., Lee, Simon C., Lienczewski, Chrysta, Limonte, Christine, Lu, Christopher Y., Lucarelli, Nicholas, Lukowski, Jessica, Luo, Jinghui, Lutnick, Brendon, Ma, Shihong, Madabhushi, Anant, Madhavan, Sethu M., Maikhor, Shana, Mariani, Laura H., Marshall, Jamie L., McClelland, Robyn L., McMahon, Gearoid M., Mehl, Karla, Ferreira, Ricardo Melo, Menez, Steven, Menon, Rajasree, Miller, R. Tyler, Moe, Orson W., Moledina, Dennis, Montellano, Richard, Mooney, Sean D., Morales, Martha Catalina, Mukatash, Tariq, Murugan, Raghavan, Nam, Yunbi, Nguyen, Jane, Nolan, Garry, Oʼtoole, John, Oliver, George (Holt), Onul, Ingrid, Otto, Edgar, Palevsky, Paul M., Palmer, Ellen, Pamreddy, Annapurna, Parikh, Chirag R., Parikh, Samir, Park, Christopher, Park, Harold, Pasa-Tolic, Ljiljana, Patel, Jiten, Patterson, Nathan, Phuong, Jim, Pillai, Anil, Pinkeney, Roy, Poggio, Emilio, Pollack, Ari, Prasad, Pottumarthi, Pyle, Laura, Quardokus, Ellen M., Randhawa, Parmjeet, Rauchman, Michael I., Record, Elizabeth, Rennke, Helmut, Rezaei, Kasra, Rike, Adele, Rivera, Marcelino, Roberts, Glenda V., Rosas, Sylvia E., Rosenberg, Avi, Rosengart, Matthew, Rovin, Brad, Roy, Neil, Sabatello, Maya, Sambandam, Kamalanathan, Sarder, Pinaki, Sarkisova, Natalya, Sarwal, Minnie, Saul, John, Schaub, Jennifer, Schmidt, Insa, Sealfon, Rachel, Sedor, John, Sendrey, Dianna, Shang, Ning, Shankland, Stuart, Shapiro, John P., Sharma, Kumar, Sharman, Kavya, Shaw, Melissa M., Shi, Tiffany, Shpigel, Anna, Sigdel, Tara, Slade, Austen, Snyder, Jamie, Spates-Harden, Kassandra, Spraggins, Jeffrey M., Srivastava, Anand, Steck, Becky, Stillman, Isaac, Stutzke, Christy, Su, Jing, Sun, Jennifer, Sutton, Timothy A., Taliercio, Jonathan, Tan, Roderick, Torrealba, Jose, Toto, Robert D., Troyanskaya, Olga, Tublin, Mitchell, Tuttle, Katherine R., Ugwuowo, Ugochukwu, Valerius, M. Todd, Van de Plas, Raf, Varela, German, Vazquez, Miguel, Velickovic, Dusan, Venkatachalam, Manjeri, Verma, Ashish, Victoria-Castro, Angela M., Vijayan, Anitha, Corona-Villalobos, Celia P., Vinovskis, Carissa, Viswanathan, Vidya S., Vita, Tina, Waikar, Sushrut, Wang, Ashley, Wang, Ruikang, Wang, Nancy, Weins, Astrid, Wen, Natasha, Wen, Yumeng, Wilcox, Adam, Williams, James C., Jr., Kayleen Williams, Williams, Mark, Wilson, Francis P., Winfree, Seth, Winters, James, Wofford, Stephanie, Wong, Aaron, Woodle, E. Steve, Xiong, Yuguang, Xu, Alan, Yadati, Pranav, Ye, Hongping, Yu, Guanghao, Zhang, Dianbo, Zhang, Guanshi, and Zhang, Kun
- Published
- 2024
- Full Text
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23. The Significance of Hematuria in Podocytopathies
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Marchel, Dorota, Trachtman, Howard, Larkina, Maria, Helmuth, Margaret, Lai Yee, Jennifer Y., Fermin, Damian, Bomback, Andrew S., Canetta, Pietro A., Gipson, Debbie S., Mottl, Amy K., Parekh, Rulan S., Saha, Manish K., Sampson, Matthew G., Lafayette, Richard A., Mariani, Laura H., Massengill, S., Lo, L., Dell, K., Sedor, J., Martin, B., Lemley, K., Fajardo, C., Sharma, S., Srivastava, T., Markus, K., Sethna, C., Vento, S., Canetta, P., Pradhan, A., Gbadegesin, R., Olabisi, O., Smith, M., Greenbaum, L., Wang, C.S., Yun, E., Adler, S., LaPage, J., Amarah, A., Itteera, M., Atkinson, M., Williams, M., Fervenza, F., Hogan, M., Lieske, J., Selewski, D., Alston, C., Kaskel, F., Ross, M., Flynn, P., Kopp, J., Malaga-Dieguez, L., Zhdanova, O., Pehrson, L.J., Almaani, S., Roberts, L., Lafayette, R., Dave, S., Lee, I., Pfeffer, Z., Shah, S., Deslandes, A., Reich, H., Hladunewich, M., Ling, P., Romano, M., Brakeman, P, Podoll, A., Rogers, N., McCarthy, E., Landry, E., Fornoni, A., Bidot, C., Kretzler, M., Gipson, D., Williams, A., Stelzer, M., Nachman, P., Rheault, M., Rao, V., Derebail, V., Gibson, K., Froment, A., Ochoa-Toro, F., Holzman, L., Meyers, K., Kallem, K., Swenson, A., Sharma, K., Sambandam, K., Robles, E., Turk, M., Jefferson, A., Hingorani, S., Tuttle, K., Manahan, L., Pao, E., Kuykendall K, K., Lin, J.J., Cody, E., Kretzler, M., Barisoni, L., Gadegbeku, C., Gillespie, B., Gipson, D., Holzman, L., Mariani, L., Sampson, M.G., Sedor, J., Smith, A., Zee, J., Alter, G., Desmond, H., Eddy, S., Fermin, D., Ju, W., Larkina, M., Li, S., Lienczewski, C.C., Mainieri, T., Scherr, R., Troost, J., Williams, A., Wang, Y., Avila-Casado, Carmen, Bagnasco, Serena, Cassol, Clarissa, Bu, Lihong, Caltharp, Shelley, Demeke, Dawit, Gillespie, Brenda, Hassler, Jared, Herlitz, Leal, Hewitt, Stephen, Hodgin, Jeff, Holanda, Danni, Kambham, Neeraja, Lemley, Kevin, Mariani, Laura, Messias, Nidia, Mikhailov, Alexei, Najafian, Behzad, Palmer, Matthew, Rosenberg, Avi, Royal, Virginie, Stokes, Barry, Thomas, David, Yamashita, Michifumi, Yin, Hong, Zee, Jarcy, Zuo, Yiqin, Barisoni, Laura, Nast, Cynthia, Ahn, Wooin, Appel, Gerald, Appelbaum, Paul, Babayev, Revekka, Bomback, Andrew, Canetta, Pietro, Chan, Brenda, DʼAgati, Vivette Denise, Dogra, Samitri, Fernandez, Hilda, Gharavi, Ali, Hines, William, Husain, Syed Ali, Jain, Namrata, Kiryluk, Krzysztof, Lin, Fangming, Marasa, Maddalena, Markowitz, Glen, Rasouly, Hila Milo, Mohan, Sumit, Mongera, Nicola, Nestor, Jordan, Nickolas, Thomas, Radhakrishnan, Jai, Rao, Maya, Sanna-Cherchi, Simone, Shirazian, Shayan, Stokes, Michael Barry, Uy, Natalie, Valeri, Anthony, Vena, Natalie, Foroncewicz, Bartosz, Moszczuk, Barbara, Mucha, Krzysztof, Perkowska-Ptasińska, Agnieszka, Ghiggeri, Gian Marco, Lugani, Francesca, Ambruzs, Josephine, Liapis, Helen, Baracco, Rossana, Jain, Amrish, Ashoor, Isa, Aviles, Diego, Srivastava, Tarak, Ahn, Sun-Young, Devarajan, Prasad, Erkan, Elif, Claes, Donna, Stone, Hillarey, Mason, Sherene, Gbadegesin, Rasheed, Gomez-Mendez, Liliana, Greenbaum, Larry, Wang, Chia-shi, Yin, Hong (Julie), Cai, Yi, Jens, Goebel, Steinke, Julia, Weaver, Donald, Lane, Jerome, Cramer, Carl, Pan, Cindy, Paloian, Neil, Sreedharan, Rajasree, Selewski, David, Twombley, Katherine, Bowers, Corinna, Dreher, Mary, Kallash, Mahmoud, Mahan, John, Sharpe, Samantha, Smoyer, William, Al-Uzri, Amira, Iragorri, Sandra, Khalid, Myda, Belsha, Craig, Alge, Joseph, Braun, Michael, Gomez, AC, Wenderfer, Scott, Vasylyeva, Tetyana, Feig, Daniel, Fuentes, Gabriel Cara, Hannah, Melisha, Nester, Carla, Chishti, Aftab, Klein, Jon, Katsoufis, Chryso, Seeherunvong, Wacharee, Rheault, Michelle, Wong, Craig, Mathews, Nisha, Barcia, John, Swiatecka-Urban, Agnes, Bartosh, Sharon, Hunley, Tracy, Dharnidharka, Vikas, Gaut, Joseph, Laurin, Louis-Philippe, Royal, Virginie, Achanti, Anand, Budisavljevic, Milos, Self, Sally, Ghossein, Cybele, Peleg, Yonatan, Wadhwani, Shikha, Almaani, Salem, Ayoub, Isabelle, Nadasdy, Tibor, Samir, Parikh, Rovin, Brad, Chang, Anthony, Fatima, Huma, Julian, Bruce, Novak, Jan, Renfrow, Matthew, Rizk, Dana, Chen, Dhruti, Derebail, Vimal, Falk, Ronald, Gibson, Keisha, Glenn, Dorey, Hogan, Susan, Jain, Koyal, Jennette, J. Charles, Mottl, Amy, Poulton, Caroline, Saha, Manish Kanti, Fogo, Agnes, Sanghani, Neil, Kidd, Jason, Muthusamy, Selvaraj, Schelling, Jeffrey, Hou, Jean, Lemley, Kevin, Mika, Warren, Russo, Pierre, Denburg, Michelle, Kogon, Amy, Meyers, Kevin, Pradhan, Madhura, Matar, Raed Bou, OʼToole, John, Sedor, John, Sethna, Christine, Vento, Suzanne, Atta, Mohamed, Bagnasco, Serena, Neu, Alicia, Sperati, John, Adler, Sharon, Dai, Tiane, Dukkipati, Ram, Fervenza, Fernando, Sethi, Sanjeev, Kaskel, Frederick, Brathwaite, Kaye, Reidy, Kimberly, Weisstuch, Joseph, Wu, Ming, Zhdanova, Olga, Heymann, Jurgen, Kopp, Jeffrey, Waldman, Meryl, Winkler, Cheryl, Tuttle, Katherine, Krissberg, Jill, Lafayette, Richard, Fahmeedah, Kamal, Talley, Elizabeth, Hladunewich, Michelle, Parekh, Rulan, Avila-Casado, Carmen, Cattran, Daniel, Heather, Reich, Boll, Philip, Drexler, Yelena, Fornoni, Alessia, Gipson, Patrick, Hodgin, Jeffrey, Oliverio, Andrea, Hogan, Jon, Holzman, Lawrence, Palmer, Matthew, Coppock, Gaia, Abromovitz, Blaise, Mortiz, Michael, Alpers, Charles, Jefferson, J. Ashley, Brown, Elizabeth, Sambandam, Kamal, Roehm, Bethany, Smith, Abigail, Nast, Cynthia, Barisoni, Laura, Gillespie, Brenda, Robinson, Bruce, Kretzler, Matthias, Mariani, Laura, and Guay-Woodford, Lisa M.
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- 2024
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24. Sodium glucose co-transporter 2 inhibition increases epidermal growth factor expression and improves outcomes in patients with type 2 diabetes
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Sen, Taha, Ju, Wenjun, Nair, Viji, Ladd, Patricia, Menon, Rajasree, Otto, Edgar A., Pyle, Laura, Vigers, Tim, Nelson, Robert G., Arnott, Clare, Neal, Bruce, Hansen, Michael K., Kretzler, Matthias, Bjornstad, Petter, and Heerspink, Hiddo J.L.
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- 2023
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25. Rationale and design of the Kidney Precision Medicine Project
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de Boer, Ian H, Alpers, Charles E, Azeloglu, Evren U, Balis, Ulysses GJ, Barasch, Jonathan M, Barisoni, Laura, Blank, Kristina N, Bomback, Andrew S, Brown, Keith, Dagher, Pierre C, Dighe, Ashveena L, Eadon, Michael T, El-Achkar, Tarek M, Gaut, Joseph P, Hacohen, Nir, He, Yongqun, Hodgin, Jeffrey B, Jain, Sanjay, Kellum, John A, Kiryluk, Krzysztof, Knight, Richard, Laszik, Zoltan G, Lienczewski, Chrysta, Mariani, Laura H, McClelland, Robyn L, Menez, Steven, Moledina, Dennis G, Mooney, Sean D, O’Toole, John F, Palevsky, Paul M, Parikh, Chirag R, Poggio, Emilio D, Rosas, Sylvia E, Rosengart, Matthew R, Sarwal, Minnie M, Schaub, Jennifer A, Sedor, John R, Sharma, Kumar, Steck, Becky, Toto, Robert D, Troyanskaya, Olga G, Tuttle, Katherine R, Vazquez, Miguel A, Waikar, Sushrut S, Williams, Kayleen, Wilson, Francis Perry, Zhang, Kun, Iyengar, Ravi, Kretzler, Matthias, Himmelfarb, Jonathan, Project, Kidney Precision Medicine, Lecker, Stewart, Stillman, Isaac, Waikar, Sushrut, Mcmahon, Gearoid, Weins, Astrid, Short, Samuel, Hoover, Paul, Aulisio, Mark, Cooperman, Leslie, Herlitz, Leal, O’Toole, John, Poggio, Emilio, Sedor, John, Jolly, Stacey, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Bomback, Andrew, Canetta, Pietro A, d’Agati, Vivette D, Kudose, Satoru, Mehl, Karla, Radhakrishnan, Jai, Weng, Chenhua, Alexandrov, Theodore, Ashkar, Tarek, Barwinska, Daria, Dagher, Pierre, Dunn, Kenneth, Eadon, Michael, Ferkowicz, Michael, Kelly, Katherine, Sutton, Timothy, Winfree, Seth, Parikh, Chirag, Rosenberg, Avi, Villalobos, Pam, Malik, Rubab, Fine, Derek, Atta, Mohammed, Trujillo, Jose Manuel Monroy, Slack, Alison, Rosas, Sylvia, and Williams, Mark
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Clinical Research ,Transplantation ,Kidney Disease ,Prevention ,Renal and urogenital ,Good Health and Well Being ,Acute Kidney Injury ,Adult ,Humans ,Kidney ,Precision Medicine ,Prospective Studies ,Proteomics ,Renal Insufficiency ,Chronic ,acute kidney injury ,chronic kidney disease ,diabetes ,hypertension ,precision medicine ,Kidney Precision Medicine Project ,Clinical Sciences ,Urology & Nephrology - Abstract
Chronic kidney disease (CKD) and acute kidney injury (AKI) are common, heterogeneous, and morbid diseases. Mechanistic characterization of CKD and AKI in patients may facilitate a precision-medicine approach to prevention, diagnosis, and treatment. The Kidney Precision Medicine Project aims to ethically and safely obtain kidney biopsies from participants with CKD or AKI, create a reference kidney atlas, and characterize disease subgroups to stratify patients based on molecular features of disease, clinical characteristics, and associated outcomes. An additional aim is to identify critical cells, pathways, and targets for novel therapies and preventive strategies. This project is a multicenter prospective cohort study of adults with CKD or AKI who undergo a protocol kidney biopsy for research purposes. This investigation focuses on kidney diseases that are most prevalent and therefore substantially burden the public health, including CKD attributed to diabetes or hypertension and AKI attributed to ischemic and toxic injuries. Reference kidney tissues (for example, living-donor kidney biopsies) will also be evaluated. Traditional and digital pathology will be combined with transcriptomic, proteomic, and metabolomic analysis of the kidney tissue as well as deep clinical phenotyping for supervised and unsupervised subgroup analysis and systems biology analysis. Participants will be followed prospectively for 10 years to ascertain clinical outcomes. Cell types, locations, and functions will be characterized in health and disease in an open, searchable, online kidney tissue atlas. All data from the Kidney Precision Medicine Project will be made readily available for broad use by scientists, clinicians, and patients.
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- 2021
26. Endogenous adenine mediates kidney injury in diabetic models and predicts diabetic kidney disease in patients
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Sharma, Kumar, Zhang, Guanshi, Hansen, Jens, Bjornstad, Petter, Lee, Hak Joo, Menon, Rajasree, Hejazi, Leila, Liu, Jian-Jun, Franzone, Anthony, Looker, Helen C., Choi, Byeong Yeob, Fernandez, Roman, Venkatachalam, Manjeri A., Kugathasan, Luxcia, Sridhar, Vikas S., Natarajan, Loki, Zhang, Jing, Sharma, Varun S., Kwan, Brian, Waikar, Sushrut S., Himmelfarb, Jonathan, Tuttle, Katherine R., Kestenbaum, Bryan, Fuhrer, Tobias, Feldman, Harold I., de Boer, Ian H., Tucci, Fabio C., Sedor, John, Heerspink, Hiddo Lambers, Schaub, Jennifer, Otto, Edgar A., Hodgin, Jeffrey B., Kretzler, Matthias, Anderton, Christopher R., Alexandrov, Theodore, Cherney, David, Lim, Su Chi, Nelson, Robert G., Gelfond, Jonathan, and Iyengar, Ravi
- Subjects
United States. National Center for Advancing Translational Sciences ,Thermo Fisher Scientific Inc. ,Bayer AG ,Boehringer Ingelheim GmbH ,AstraZeneca PLC ,Eli Lilly and Co. ,Novo Nordisk A/S ,Sanofi S.A. ,Medical research -- Health aspects ,Medicine, Experimental -- Health aspects ,Scientific equipment and supplies industry -- Health aspects ,Chronic kidney failure -- Health aspects ,Medical colleges -- Health aspects ,Type 2 diabetes -- Health aspects ,Native Americans -- Health aspects ,Pharmaceutical industry -- Health aspects ,Purines -- Health aspects ,Health care industry - Abstract
Diabetic kidney disease (DKD) can lead to end-stage kidney disease (ESKD) and mortality; however, few mechanistic biomarkers are available for high-risk patients, especially those without macroalbuminuria. Urine from participants with diabetes from the Chronic Renal Insufficiency Cohort (CRIC) study, the Singapore Study of Macro-angiopathy and Micro-vascular Reactivity in Type 2 Diabetes (SMART2D), and the American Indian Study determined whether urine adenine/creatinine ratio (UAdCR) could be a mechanistic biomarker for ESKD. ESKD and mortality were associated with the highest UAdCR tertile in the CRIC study and SMART2D. ESKD was associated with the highest UAdCR tertile in patients without macroalbuminuria in the CRIC study, SMART2D, and the American Indian study. Empagliflozin lowered UAdCR in nonmacroalbuminuric participants. Spatial metabolomics localized adenine to kidney pathology, and single-cell transcriptomics identified ribonucleoprotein biogenesis as a top pathway in proximal tubules of patients without macroalbuminuria, implicating mTOR. Adenine stimulated matrix in tubular cells via mTOR and stimulated mTOR in mouse kidneys. A specific inhibitor of adenine production was found to reduce kidney hypertrophy and kidney injury in diabetic mice. We propose that endogenous adenine may be a causative factor in DKD., Introduction Progression to organ failure is marked by fibrosis and loss of architecture in solid organs, such as the kidney. In almost all progressive chronic kidney diseases (CKDs), the features [...]
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- 2023
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27. Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project
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Ong, Edison, Wang, Lucy L, Schaub, Jennifer, O’Toole, John F, Steck, Becky, Rosenberg, Avi Z, Dowd, Frederick, Hansen, Jens, Barisoni, Laura, Jain, Sanjay, de Boer, Ian H, Valerius, M Todd, Waikar, Sushrut S, Park, Christopher, Crawford, Dana C, Alexandrov, Theodore, Anderton, Christopher R, Stoeckert, Christian, Weng, Chunhua, Diehl, Alexander D, Mungall, Christopher J, Haendel, Melissa, Robinson, Peter N, Himmelfarb, Jonathan, Iyengar, Ravi, Kretzler, Matthias, Mooney, Sean, and He, Yongqun
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Biomedical and Clinical Sciences ,Clinical Sciences ,Kidney Disease ,Networking and Information Technology R&D (NITRD) ,Generic health relevance ,Renal and urogenital ,Good Health and Well Being ,Atlases as Topic ,Big Data ,Biological Ontologies ,Humans ,Kidney Diseases ,Phenotype ,Precision Medicine ,Kidney Precision Medicine Project ,Urology & Nephrology ,Clinical sciences - Abstract
An important need exists to better understand and stratify kidney disease according to its underlying pathophysiology in order to develop more precise and effective therapeutic agents. National collaborative efforts such as the Kidney Precision Medicine Project are working towards this goal through the collection and integration of large, disparate clinical, biological and imaging data from patients with kidney disease. Ontologies are powerful tools that facilitate these efforts by enabling researchers to organize and make sense of different data elements and the relationships between them. Ontologies are critical to support the types of big data analysis necessary for kidney precision medicine, where heterogeneous clinical, imaging and biopsy data from diverse sources must be combined to define a patient's phenotype. The development of two new ontologies - the Kidney Tissue Atlas Ontology and the Ontology of Precision Medicine and Investigation - will support the creation of the Kidney Tissue Atlas, which aims to provide a comprehensive molecular, cellular and anatomical map of the kidney. These ontologies will improve the annotation of kidney-relevant data, and eventually lead to new definitions of kidney disease in support of precision medicine.
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- 2020
28. Low concentrations of medium-sized HDL particles predict incident CVD in chronic kidney disease patients
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Kretzler, Matthias, Gipson, Debbie, Bitzer, Markus, Gadegbeku, Crystal, Bellovich, Keith, Bhat, Zeenat, Massengill, Susan, Perumal, Kalyani, Appel, Lawrence J., Cohen, Debbie L., Lash, James P., Nelson, Robert G., Rahman, Mahboob, Shah, Vallabh O., Unruh, Mark L., Shao, Baohai, Afshinnia, Farsad, Mathew, Anna V., Ronsein, Graziella E., Thornock, Carissa, Irwin, Angela D., Kansal, Mayank, Rao, Panduranga S., Dobre, Mirela, Al-Kindi, Sadeer, Weir, Matthew R., Go, Alan, He, Jiang, Chen, Jing, Feldman, Harold, Bornfeldt, Karin E., and Pennathur, Subramaniam
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- 2023
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29. Racial and Ethnic Disparities in Acute Care Utilization Among Patients With Glomerular Disease
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Ahn, Wooin, Appel, Gerald, Appelbaum, Paul, Babayev, Revekka, Bomback, Andrew, Brown, Eric, Canetta, Pietro, Carlassara, Lucrezia, Chan, Brenda, D’Agati, Vivette Denise, Dogra, Samitri, Fernandez, Hilda, Gharavi, Ali, Hines, William, Husain, Syed Ali, Kiryluk, Krzysztof, Lin, Fangming, Marasa, Maddalena, Markowitz, Glen, Rasouly, Hila Milo, Mohan, Sumit, Mongera, Nicola, Nickolas, Thomas, Radhakrishnan, Jai, Rao, Maya, Sanna-Cherchi, Simone, Shirazian, Shayan, Stokes, Michael Barry, Uy, Natalie, Valeri, Anthony, Vena, Natalie, Foroncewicz, Bartosz, Moszczuk, Barbara, Mucha, Krzysztof, Perkowska-Ptasińska, Agnieszka, Ghiggeri, Gian Marco, Ambruzs, Josephine, Liapis, Helen, Baracco, Rossana, Jain, Amrish, Ashoor, Isa, Srivastava, Tarak, Ahn, Sun-Young, Devarajan, Prasad, Erkan, Elif, Claes, Donna, Stone, Hillarey, Mason, Sherene, Silva, Cynthia, Gomez-Mendez, Liliana, Wang, Chia-shi, Yin, Hong (Julie), Jens, Goebel, Steinke, Julia, Cramer, Carl, Pan, Cindy, Sreedharan, Rajasree, Bowers, Corinna, Dreher, Mary, Kallash, Mahmoud, Mahan, John, Sharpe, Samantha, Smoyer, William, Al-Uzri, Amira, Belsha, Craig, Braun, Michael, Gomez, A.C., Feig, Daniel, Fuentes, Gabriel Cara, Hannah, Melisha, Nester, Carla, Chishti, Aftab, Klein, Jon, Katsoufis, Chryso, Seeherunvong, Wacharee, Rheault, Michelle, Wong, Craig, Mathews, Nisha, Barcia, John, Swiatecka-Urban, Agnes, Bartosh, Sharon, Hunley, Tracy, Dharnidharka, Vikas, Gaut, Joseph, Laurin, Louis-Philippe, Royal, Virginie, Achanti, Anand, Budisavljevic, Milos, Self, Sally, Ghossein, Cybele, Wadhwani, Shikha, Ayoub, Isabelle, Nadasdy, Tibor, Parikh, Samir, Rovin, Brad, Chang, Anthony, Fatima, Huma, Novak, Jan, Renfrow, Matthew, Rizk, Dana, Chen, Dhruti, Derebail, Vimal, Falk, Ronald, Gibson, Keisha, Hogan, Susan, Jain, Koyal, Jennette, J. Charles, Mottl, Amy, Poulton, Caroline, Saha, Manish Kanti, Fogo, Agnes, Sanghani, Neil, Kidd, Jason, Massey, Hugh, Muthusamy, Selvaraj, Ganesan, Santhi, Gonzalez-Vicente, Agustin, Schelling, Jeffrey, Hou, Jean, Lemley, Kevin, Mika, Warren, Russo, Pierre, Denburg, Michelle, Kogon, Amy, Meyers, Kevin, Pradhan, Madhura, Matar, Raed Bou, O’Toole, John, Sedor, John, Bagnasco, Serena, Neu, Alicia, Adler, Sharon, Dai, Tiane, Dukkipati, Ram, Fervenza, Fernando, Sethi, Sanjeev, Kaskel, Frederick, Vento, Suzanne, Weisstuch, Joseph, Wu, Ming, Zhdanova, Olga, Heymann, Jurgen, Waldman, Meryl, Winkler, Cheryl, Hladunewich, Michelle, Avila-Casado, Carmen, Cattran, Daniel, Heather, Reich, Boll, Philip, Drexler, Yelena, Fornoni, Alessia, Gipson, Patrick, Hodgin, Jeffrey, Oliverio, Andrew, Hogan, Jon, Holzman, Lawrence, Palmer, Matthew, Abromovitz, Blaise, Mortiz, Michael, Alpers, Charles, Jefferson, J. Ashley, Brown, Elizabeth, Sambandam, Kamal, Robinson, Bruce, Nast, Cynthia, Barisoni, Laura, Gillespie, Brenda, Gipson, Deb, Hicken, Maggie, Kretzler, Matthias, Mariani, Laura, Guay-Woodford, Lisa M., Krissberg, Jill R., O’Shaughnessy, Michelle M., Smith, Abigail R., Helmuth, Margaret E., Almaani, Salem, Aviles, Diego H., Brathwaite, Kaye E., Cai, Yi, Gbadegesin, Rasheed, Glenn, Dorey A., Greenbaum, Larry A., Iragorri, Sandra, Khalid, Myda, Kopp, Jeffrey, Lafayette, Richard, Lane, Jerome C., Lugani, Francesca, Nestor, Jordan G., Parekh, Rulan S., Reidy, Kimberly, Selewski, David T., Sethna, Christine B., Sperati, C. John, Tuttle, Katherine, Twombley, Katherine, Vasylyeva, Tetyana L., Weaver, Donald J., Jr., and Wenderfer, Scott E.
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- 2023
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30. Precision nephrology identified tumor necrosis factor activation variability in minimal change disease and focal segmental glomerulosclerosis
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Mariani, Laura H., Eddy, Sean, AlAkwaa, Fadhl M., McCown, Phillip J., Harder, Jennifer L., Nair, Viji, Eichinger, Felix, Martini, Sebastian, Ademola, Adebowale D., Boima, Vincent, Reich, Heather N., El Saghir, Jamal, Godfrey, Bradley, Ju, Wenjun, Tanner, Emily C., Vega-Warner, Virginia, Wys, Noel L., Adler, Sharon G., Appel, Gerald B., Athavale, Ambarish, Atkinson, Meredith A., Bagnasco, Serena M., Barisoni, Laura, Brown, Elizabeth, Cattran, Daniel C., Coppock, Gaia M., Dell, Katherine M., Derebail, Vimal K., Fervenza, Fernando C., Fornoni, Alessia, Gadegbeku, Crystal A., Gibson, Keisha L., Greenbaum, Laurence A., Hingorani, Sangeeta R., Hladunewich, Michelle A., Hodgin, Jeffrey B., Hogan, Marie C., Holzman, Lawrence B., Jefferson, J. Ashley, Kaskel, Frederick J., Kopp, Jeffrey B., Lafayette, Richard A., Lemley, Kevin V., Lieske, John C., Lin, Jen-Jar, Menon, Rajarasee, Meyers, Kevin E., Nachman, Patrick H., Nast, Cynthia C., O’Shaughnessy, Michelle M., Otto, Edgar A., Reidy, Kimberly J., Sambandam, Kamalanathan K., Sedor, John R., Sethna, Christine B., Singer, Pamela, Srivastava, Tarak, Tran, Cheryl L., Tuttle, Katherine R., Vento, Suzanne M., Wang, Chia-shi, Ojo, Akinlolu O., Adu, Dwomoa, Gipson, Debbie S., Trachtman, Howard, and Kretzler, Matthias
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- 2023
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31. WCN24-1441 INTERFERON GAMMA (IFN-γ) IN EARLY DIABETIC KIDNEY DISEASE IS ASSOCIATED WITH PROGRESSION TO KIDNEY FAILURE
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Nair, Viji, primary, Harder, Jennifer L., additional, El Saghir, Jamal, additional, Eichinger, Felix H., additional, Looker, Helen, additional, Harlan, Shannon M., additional, Baker, Hana, additional, Brosius, Frank C., additional, Duffin, Kevin L., additional, Nelson, Robert G., additional, Kretzler, Matthias, additional, and Ju, Wenjun, additional
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- 2024
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32. WCN24-385 PREDICTING PATIENT RESPONSE TO STANDARD-OF-CARE THERAPIES IN GLOMERULAR DISEASES
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Eddy, Sean, primary, Helmuth, Margaret, additional, Hartman, John, additional, McCown, Phillip, additional, Ju, Wenjun, additional, Nair, Viji, additional, Mariani, Laura, additional, and Kretzler, Matthias, additional
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- 2024
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33. WCN24-1863 Towards an IgA Nephropathy Atlas
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Saez-Rodriguez, Julio, primary, Barratt, Jon, additional, Selvaskandan, Haresh, additional, Duivenvoorden, Raphael, additional, Kretzler, Matthias, additional, Mariani, Laura, additional, Berthier, Celine, additional, Witsap, Anna, additional, Olauson, Hannes, additional, Wernerson, Annika, additional, Gesualdo, Loreto, additional, and Nyström, Jenny, additional
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- 2024
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34. WCN24-1387 Integration of Single Cell Data from Human and RNA-Seq Analysis from Rat to Identify Surrogate Drugs Mimicking the Effects of Metabolic Bariatric Surgery
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Alakwaa, Fadhl, primary, Naik, Abhijit, additional, Menon, Rajasree, additional, Otto, Edgar, additional, Pyle, Laura, additional, Choi, Ye, additional, Kretzler, Matthias, additional, and Bjornstad, Petter, additional
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- 2024
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35. Present and future directions in diabetic kidney disease
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Limonte, Christine P., Kretzler, Matthias, Pennathur, Subramaniam, Pop-Busui, Rodica, and de Boer, Ian H.
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- 2022
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36. Molecular programs associated with glomerular hyperfiltration in early diabetic kidney disease
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Stefansson, Vidar T.N., Nair, Viji, Melsom, Toralf, Looker, Helen C., Mariani, Laura H., Fermin, Damian, Eichinger, Felix, Menon, Rajasree, Subramanian, Lalita, Ladd, Patricia, Harned, Roger, Harder, Jennifer L., Hodgin, Jeffrey B., Bjornstad, Petter, Nelson, Peter J., Eriksen, Bjørn O., Nelson, Robert G., and Kretzler, Matthias
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- 2022
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37. The immune cell landscape in kidneys of patients with lupus nephritis
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Arazi, Arnon, Rao, Deepak A, Berthier, Celine C, Davidson, Anne, Liu, Yanyan, Hoover, Paul J, Chicoine, Adam, Eisenhaure, Thomas M, Jonsson, A Helena, Li, Shuqiang, Lieb, David J, Zhang, Fan, Slowikowski, Kamil, Browne, Edward P, Noma, Akiko, Sutherby, Danielle, Steelman, Scott, Smilek, Dawn E, Tosta, Patti, Apruzzese, William, Massarotti, Elena, Dall’Era, Maria, Park, Meyeon, Kamen, Diane L, Furie, Richard A, Payan-Schober, Fernanda, Pendergraft, William F, McInnis, Elizabeth A, Buyon, Jill P, Petri, Michelle A, Putterman, Chaim, Kalunian, Kenneth C, Woodle, E Steve, Lederer, James A, Hildeman, David A, Nusbaum, Chad, Raychaudhuri, Soumya, Kretzler, Matthias, Anolik, Jennifer H, Brenner, Michael B, Wofsy, David, Hacohen, Nir, and Diamond, Betty
- Subjects
Lupus ,Genetics ,Autoimmune Disease ,Kidney Disease ,Clinical Research ,2.1 Biological and endogenous factors ,Underpinning research ,Aetiology ,1.1 Normal biological development and functioning ,Inflammatory and immune system ,Renal and urogenital ,Biomarkers ,Biopsy ,Cluster Analysis ,Computational Biology ,Epithelial Cells ,Flow Cytometry ,Gene Expression Profiling ,Gene Expression Regulation ,Humans ,Immunophenotyping ,Interferons ,Kidney ,Leukocytes ,Lupus Nephritis ,Lymphocytes ,Molecular Sequence Annotation ,Myeloid Cells ,Single-Cell Analysis ,Transcriptome ,Accelerating Medicines Partnership in SLE network ,Immunology - Abstract
Lupus nephritis is a potentially fatal autoimmune disease for which the current treatment is ineffective and often toxic. To develop mechanistic hypotheses of disease, we analyzed kidney samples from patients with lupus nephritis and from healthy control subjects using single-cell RNA sequencing. Our analysis revealed 21 subsets of leukocytes active in disease, including multiple populations of myeloid cells, T cells, natural killer cells and B cells that demonstrated both pro-inflammatory responses and inflammation-resolving responses. We found evidence of local activation of B cells correlated with an age-associated B-cell signature and evidence of progressive stages of monocyte differentiation within the kidney. A clear interferon response was observed in most cells. Two chemokine receptors, CXCR4 and CX3CR1, were broadly expressed, implying a potentially central role in cell trafficking. Gene expression of immune cells in urine and kidney was highly correlated, which would suggest that urine might serve as a surrogate for kidney biopsies.
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- 2019
38. A glomerular transcriptomic landscape of apolipoprotein L1 in Black patients with focal segmental glomerulosclerosis
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Dell, K., Sedor, J., Schachere, M., Negrey, J., Lemley, K., Silesky, B., Srivastava, T., Garrett, A., Sethna, C., Laurent, K., Canetta, P., Pradhan, A., Greenbaum, L., Wang, C., Kang, C., Adler, S., LaPage, J., Athavale, A., Itteera, M., Atkinson, M., Dell, T., Fervenza, F., Hogan, M., Lieske, J., Chernitskiy, V., Kaskel, F., Ross, M., Flynn, P., Kopp, J., Blake, J., Trachtman, H., Zhdanova, O., Modersitzki, F., Vento, S., Lafayette, R., Mehta, K., Gadegbeku, C., Quinn-Boyle, S., Hladunewich, M., Reich, H., Ling, P., Romano, M., Fornoni, A., Bidot, C., Kretzler, M., Gipson, D., Williams, A., Klida, C., Derebail, V., Gibson, K., Cole, E., Ormond-Foster, J., Holzman, L., Meyers, K., Kallem, K., Swenson, A., Sambandam, K., Wang, Z., Rogers, M., Jefferson, A., Hingorani, S., Tuttle, K., Bray, M., Pao, E., Cooper, A., Lin, J.J., Baker, Stefanie, Barisoni, L., Bixler, J., Desmond, H., Eddy, S., Fermin, D., Gillespie, B., Kurtz, V., Larkina, M., Li, S., Lienczewski, C.C., Liu, J., Mainieri, T., Mariani, L., Sampson, M., Smith, A., Zee, J., Avila-Casado, Carmen, Bagnasco, Serena, Gaut, Joseph, Hewitt, Stephen, Hodgin, Jeff, Lemley, Kevin, Mariani, Laura, Palmer, Matthew, Rosenberg, Avi, Royal, Virginie, Thomas, David, Zee, Jarcy, Barisoni, Laura, Nast, Cynthia, McNulty, Michelle T., Fermin, Damian, Eichinger, Felix, Jang, Dongkeun, Kretzler, Matthias, Burtt, Noël P., Pollak, Martin R., Flannick, Jason, Weins, Astrid, Friedman, David J., and Sampson, Matthew G.
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- 2022
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39. Genetics in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference
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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.
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- 2022
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40. Serum Level of Polyubiquitinated PTEN and Loss of Kidney Function in American Indians With Type 2 Diabetes
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Looker, Helen C., Lin, Chunru, Nair, Viji, Kretzler, Matthias, Mauer, Michael, Najafian, Behzad, and Nelson, Robert G.
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- 2022
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41. Glomerular endothelial cell-podocyte stresses and crosstalk in structurally normal kidney transplants
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Menon, Rajasree, Otto, Edgar A., Berthier, Celine C., Nair, Viji, Farkash, Evan A., Hodgin, Jeffrey B., Yang, Yingbao, Luo, Jinghui, Woodside, Kenneth J., Zamani, Haniyeh, Norman, Silas P., Wiggins, Roger C., Kretzler, Matthias, and Naik, Abhijit S.
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- 2022
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42. Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease
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Lee, Joonsang, Warner, Elisa, Shaikhouni, Salma, Bitzer, Markus, Kretzler, Matthias, Gipson, Debbie, Pennathur, Subramaniam, Bellovich, Keith, Bhat, Zeenat, Gadegbeku, Crystal, Massengill, Susan, Perumal, Kalyani, Saha, Jharna, Yang, Yingbao, Luo, Jinghui, Zhang, Xin, Mariani, Laura, Hodgin, Jeffrey B., and Rao, Arvind
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- 2022
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43. Urine Single-Cell RNA Sequencing in Focal Segmental Glomerulosclerosis Reveals Inflammatory Signatures
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Latt, Khun Zaw, Heymann, Jurgen, Jessee, Joseph H., Rosenberg, Avi Z., Berthier, Celine C., Arazi, Arnon, Eddy, Sean, Yoshida, Teruhiko, Zhao, Yongmei, Chen, Vicky, Nelson, George W., Cam, Margaret, Kumar, Parimal, Mehta, Monika, Kelly, Michael C., Kretzler, Matthias, Ray, Patricio E., Moxey-Mims, Marva, Gorman, Gregory H., Lechner, Brent L., Regunathan-Shenk, Renu, Raj, Dominic S., Susztak, Katalin, Winkler, Cheryl A., and Kopp, Jeffrey B.
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- 2022
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44. Rapid Progression of Focal Segmental Glomerulosclerosis in Patients with High-Risk APOL1 Genotypes
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Kallash, Mahmoud, Wang, Yujie, Smith, Abigail, Trachtman, Howard, Gbadegesin, Rasheed, Nester, Carla, Canetta, Pietro, Wang, Chen, Hunley, Tracy E., Sperati, C. John, Selewski, David, Ayoub, Isabelle, Srivastava, Tarak, Mottl, Amy K., Kopp, Jeffrey, Gillespie, Brenda, Robinson, Bruce, Chen, Dhruti, Steinke, Julia, Twombley, Katherine, Reidy, Kimberly, Mucha, Krzysztof, Greenbaum, Larry A., Blazius, Brooke, Helmuth, Margaret, Yonatan, Peleg, Parekh, Rulan S., Hogan, Susan, Royal, Virginie, DʼAgati, Vivette, Chishti, Aftab, Falk, Ronald, Gharavi, Ali, Holzman, Lawrence, Klein, Jon, Smoyer, William, Kretzler, Matthias, Gipson, Debbie, and Kidd, Jason M.
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- 2023
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45. Systems biology in diagnosis and treatment of kidney disease
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Schaub, Jennifer A., primary and Kretzler, Matthias, additional
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- 2022
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46. Contributors
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Agarwal, Anupam, primary, Ashley, Sophie L., additional, Asthana, Amish, additional, Atala, Anthony, additional, Babickova, Janka, additional, Baird, David P., additional, Basile, David P., additional, Bedzow, Ira, additional, Bhattacharya, Rohan, additional, Blank, Ulrich, additional, Bonventre, Joseph V., additional, Borradaile, Nica M., additional, Celikoyar, Selin, additional, Charles, Nicolas, additional, Cheung, Matthew D., additional, Choi, Hoon Young, additional, Crunk, Amanda E., additional, Daugas, Eric, additional, Dekel, Benjamin, additional, Demaria, Marco, additional, Diegisser, Danielle, additional, Ding, Feng, additional, Dirice, Ercument, additional, Doyle, Ross, additional, Ebert, Thomas, additional, Erman, Elise N., additional, Ferenbach, David A., additional, Fogo, Agnes B., additional, Francipane, Maria Giovanna, additional, George, James F., additional, Godson, Catherine, additional, Golestaneh, Ladan, additional, Goligorsky, Michael S., additional, Haber, Dylan, additional, He, John Cijiang, additional, Heller, Daniel A., additional, Holmes, Jordan A., additional, Hukriede, Neil A., additional, Hunsberger, Joshua, additional, Izpisua Belmonte, Juan Carlos, additional, Jaimes, Edgar A., additional, Ji, Jing, additional, Kahraman, Sevim, additional, Kalejaiye, Titilola D., additional, Kapadia, Chintan, additional, Kretzler, Matthias, additional, La Pointe, Catherine, additional, Lasagni, Laura, additional, Lee, Jason J., additional, Lee, Kyung, additional, Lerman, Lilach O., additional, Li, Li, additional, Li, Xuezhu, additional, Mahler, Gretchen J., additional, Marino, Domenica Ida, additional, Mazzinghi, Benedetta, additional, Melk, A., additional, Muir, Sean, additional, Musah, Samira, additional, Nath, Meryl C., additional, Nehme, Jamil, additional, Neugarten, Joel, additional, Nicolas, Paola, additional, Okusa, Mark D., additional, Orlando, Giuseppe, additional, Osafune, Kenji, additional, Park, Hyeong Cheon, additional, Pickering, J. Geoffrey, additional, Pleniceanu, Oren, additional, Przepiorski, Aneta, additional, Rabadi, May M., additional, Ratliff, Brian B., additional, Romagnani, Paola, additional, Schaub, Jennifer A., additional, Schmitt, R., additional, Somara, Sita, additional, Stenvinkel, Peter, additional, Varela-Eirin, Marta, additional, Williams, Ryan M., additional, Wilson, Rachel B., additional, Woolf, Adrian S., additional, Xia, Yun, additional, Yang, Hai-Chun, additional, Yang, Li, additional, Yoder, Mervin C., additional, Zhang, Stephanie, additional, Zhang, Yuanyuan, additional, and Zhu, Xiang Yang, additional
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- 2022
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47. The authors reply
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Ju, Wenjun, primary, Heerspink, Hiddo J.L., additional, Kretzler, Matthias, additional, and Bjornstad, Petter, additional
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- 2024
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48. Glomerular Elasticity and Gene Expression Patterns Define Two Phases of Alport Nephropathy
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Yoon, Joonho, primary, Liu, Zhenan, additional, Alaba, Matthew, additional, Bruggeman, Leslie A., additional, Janmey, Paul A., additional, Arana, Carlos A., additional, Ayenuyo, Oluwatoyosi, additional, Medeiros, Isabela, additional, Eddy, Sean, additional, Kretzler, Matthias, additional, Henderson, Joel M., additional, Naik, Abhijit, additional, Chang, Audrey N., additional, and Miller, R. Tyler, additional
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- 2024
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49. Rationale and design of the Nephrotic Syndrome Study Network (NEPTUNE) Match in glomerular diseases: designing the right trial for the right patient, today
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Trachtman, Howard, primary, Desmond, Hailey, additional, Williams, Amanda L., additional, Mariani, Laura H., additional, Eddy, Sean, additional, Ju, Wenjun, additional, Barisoni, Laura, additional, Ascani, Heather K., additional, Uhlmann, Wendy R., additional, Spino, Cathie, additional, Holzman, Lawrence B., additional, Sedor, John R., additional, Gadegbeku, Crystal, additional, Subramanian, Lalita, additional, Lienczewski, Chrysta C., additional, Manieri, Tina, additional, Roberts, Scott J., additional, Gipson, Debbie S., additional, Kretzler, Matthias, additional, Massengill, Susan, additional, Lo, Layla, additional, Dell, Katherine, additional, O’Toole, John, additional, Sedor, John, additional, Martin, Blair, additional, Macumber, Ian, additional, Sharma, Silpa, additional, Srivastava, Tarak, additional, Markus, Kelsey, additional, Sethna, Christine, additional, Vento, Suzanne, additional, Canetta, Pietro, additional, Olabisi, Opeyemi, additional, Gbadegesin, Rasheed, additional, Smith, Maurice, additional, Greenbaum, Laurence, additional, Wang, Chia-shi, additional, Yun, Emily, additional, Adler, Sharon, additional, LaPage, Janine, additional, Amarah, Amatur, additional, Itteera, Mathew, additional, Atkinson, Meredith, additional, Williams, Miahje, additional, Lieske, John, additional, Hogan, Marie, additional, Fervenza, Fernando, additional, Selewski, David, additional, Alston, Cheryl, additional, Reidy, Kim, additional, Ross, Michael, additional, Kaskel, Frederick, additional, Flynn, Patricia, additional, Malaga-Dieguez, Laura, additional, Zhdanova, Olga, additional, Pehrson, Laura Jane, additional, Miranda, Melanie, additional, Almaani, Salem, additional, Roberts, Laci, additional, Lafayette, Richard, additional, Dave, Shiktij, additional, Lee, Iris, additional, Shah, Shweta, additional, Batla, Sadaf, additional, Reich, Heather, additional, Hladunewich, Michelle, additional, Ling, Paul, additional, Romano, Martin, additional, Brakeman, Paul, additional, Dylewski, James, additional, Rogers, Nathan, additional, McCarthy, Ellen, additional, Creed, Catherine, additional, Fornoni, Alessia, additional, Bandes, Miguel, additional, Mariani, Laura, additional, Modi, Zubin, additional, Williams, A., additional, Ni, Roxy, additional, Nachman, Patrick, additional, Rheault, Michelle, additional, Kowalski, Amy, additional, Rauwolf, Nicolas, additional, Derebail, Vimal, additional, Gibson, Keisha, additional, Froment, Anne, additional, Kelley, Sara, additional, Holzman, Lawrence, additional, Meyers, Kevin, additional, Kallem, Krishna, additional, Edwards, Aliya, additional, Sharma, Samin, additional, Roehm, Elizabeth, additional, Sambandam, Kamalanathan, additional, Brown, Elizabeth, additional, Hellewege, Jamie, additional, Jefferson, Ashley, additional, Hingorani, Sangeeta, additional, Tuttle, Katherine, additional, Manahan, Linda, additional, Pao, Emily, additional, Kuykendall, Kelli, additional, Lin, Jen Jar, additional, Dharnidharka, Vikas, additional, Gillespie, Brenda, additional, Salmon, Eloise, additional, Trachtman, Howard, additional, Mainieri, Tina, additional, Alter, Gabrielle, additional, Arbit, Michael, additional, Fermin, Damian, additional, Larkina, Maria, additional, Lienczewski, Chrysta, additional, Scherr, Rebecca, additional, Troost, Jonathan, additional, Williams, Amanda, additional, Zhai, Yan, additional, Kincaid, Colleen, additional, Li, Shengqian, additional, Li, Shannon, additional, Sampson, Matthew G., additional, Smith, Abigail, additional, Zee, Jarcy, additional, Avila-Casado, Carmen, additional, Bagnasco, Serena, additional, Bu, Lihong, additional, Caltharp, Shelley, additional, Cassol, Clarissa, additional, Demeke, Dawit, additional, Hassler, Jared, additional, Herlitz, Leal, additional, Hewitt, Stephen, additional, Hodgin, Jeff, additional, Holanda, Danni, additional, Kambham, Neeraja, additional, Lemley, Kevin, additional, Messias, Nidia, additional, Mikhailov, Alexei, additional, Moreno, Vanessa, additional, Najafian, Behzad, additional, Palmer, Matthew, additional, Rosenberg, Avi, additional, Royal, Virginie, additional, Sekulik, Miroslav, additional, Stokes, Barry, additional, Thomas, David, additional, Wu, Ming, additional, Yamashita, Michifumi, additional, Yin, Hong, additional, Zuo . Cochairs, Yiqin, additional, and Nast, Cynthia, additional
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- 2024
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50. Identification of Kidney Cell Types in scRNA-seq and snRNA-seq Data Using Machine Learning Algorithms
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Tisch, Adam, primary, Madapoosi, Siddharth, additional, Blough, Stephen, additional, Rosa, Jan, additional, Eddy, Sean, additional, Mariani, Laura, additional, Naik, Abhijit, additional, Limonte, Christine, additional, Mccown, Philip, additional, Menon, Rajasree, additional, Rosas, Sylvia, additional, Parikh, Chirag, additional, Kretzler, Matthias, additional, Mahfouz, Ahmed, additional, and Alakwaa, Fadhl, additional
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- 2024
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