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Cytosine methylation changes in enhancer regions of core pro-fibrotic genes characterize kidney fibrosis development
Open accessAbstract
Background: One in eleven people is affected by chronic kidney disease, a condition characterized by kidney fibrosis and progressive loss of kidney function. Epidemiological studies indicate that adverse intrauterine and postnatal environments have a long-lasting role in chronic kidney disease development. Epigenetic information represents a plausible carrier for mediating this programming effect. Here we demonstrate that genome-wide cytosine methylation patterns of healthy and chronic kidney disease tubule samples obtained from patients show significant differences. Results: We identify differentially methylated regions and validate these in a large replication dataset. The differentially methylated regions are rarely observed on promoters, but mostly overlap with putative enhancer regions, and they are enriched in consensus binding sequences for important renal transcription factors. This indicates their importance in gene expression regulation. A core set of genes that are known to be related to kidney fibrosis, including genes encoding collagens, show cytosine methylation changes correlating with downstream transcript levels. Conclusions: Our report raises the possibility that epigenetic dysregulation plays a role in chronic kidney disease development via influencing core pro-fibrotic pathways and can aid the development of novel biomarkers and future therapeutics.
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In a genome-wide DNA methylation study of human kidney tubules, several genes associated with kidney fibrosis are characterized by methylation changes and alterations of downstream transcript levels in chronic kidney disease samples compared with controls.
“In a genome-wide DNA methylation study of human kidney tubules, several genes that are associated with kidney fibrosis were characterized by methylation changes and alterations of downstream transcript levels in CKD samples compared with controls197.”
From The gut microbiota and the brain–gut–kidney axis in hypertension and chronic kidney disease (2018) · cites this paper as [197]
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Cites
The accessible chromatin landscape of the human genome
Thurman, R. E., Rynes, E., Humbert, R., Vierstra, J., Maurano, M. T., Haugen, E., Sheffield, N. C., Stergachis, A. B., Wang, H., Vernot, B., et al. (2012) · Nature · doi:10.1038/nature11232 · Cited by 2,679
ChromHMM: automating chromatin-state discovery and characterization
Ernst, J., & Kellis, M. (2012) · Nature Methods · doi:10.1038/nmeth.1906 · Cited by 2,457
Cancer-epigenetics comes of age
Jones, P. A., & Laird, P. W. (1999) · Nature Genetics · doi:10.1038/5947 · Cited by 2,358
Identifying ChIP-seq enrichment using MACS
Feng, J., Liu, T., Qin, B., Zhang, Y., & Liu, X. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.101 · Cited by 1,848
Principles and challenges of genome-wide DNA methylation analysis
Laird, P. W. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2732 · Cited by 1,611
Cancer Genetics and Epigenetics: Two Sides of the Same Coin?
You, J. S., & Jones, P. A. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.06.008 · Cited by 1,206
Transcriptome Analysis of Human Diabetic Kidney Disease
Woroniecka, K. I., Park, A. S. D., Mohtat, D., Thomas, D. B., Pullman, J. M., & Suszták, K. (2011) · Diabetes · doi:10.2337/db10-1181 · Cited by 647
Self-citationEmerging Biomarkers for Evaluating Cardiovascular Risk in the Chronic Kidney Disease Patient
Stenvinkel, P., Carrero, J. J., Axelsson, J., Lindholm, B., Heimbürger, O., & Massy, Z. A. (2008) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.03670807 · Cited by 575
Regulatory Sequence Analysis Tools
van Helden, J. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg567 · Cited by 545
Comparative isoschizomer profiling of cytosine methylation: The HELP assayPreprint
Khulan, B., Thompson, R. F., Ye, K. Q., Fazzari, M. J., Suzuki, M., Stasiek, E., Figueroa, M. E., Glass, J. L., Chen, Q., Montagna, C., et al. (2006) · Genome Research · doi:10.1101/gr.5273806 · Cited by 400
Self-citationBielesz, B. O., Sirin, Y., Si, H., Niranjan, T., Gruenwald, A., Ahn, S.-H., Kato, H., Pullman, J. M., Gessler, M., Haase, V. H., et al. (2010) · Journal of Clinical Investigation · doi:10.1172/jci43025 · Cited by 348
Self-citationThe role of epigenetics in the pathology of diabetic complications
Villeneuve, L. M., & Natarajan, R. D. (2010) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00200.2010 · Cited by 299
Blood pressure in adults after prenatal exposure to famine
Roseboom, T. J., van der Meulen, J., Ravelli, A. C. J., van Montfrans, G. A., Osmond, C., Barker, D. J. P., & Bleker, O. P. (1999) · Journal of Hypertension · doi:10.1097/00004872-199917030-00004 · Cited by 252
Regulated Noise in the Epigenetic Landscape of Development and Disease
Pujadas, E., & Feinberg, A. P. (2012) · Cell · doi:10.1016/j.cell.2012.02.045 · Cited by 245
RSAT 2011: regulatory sequence analysis tools
Thomas‐Chollier, M., Defrance, M., Medina-Rivera, A., Sand, O., Herrmann, C., Thieffry, D., & van Helden, J. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr377 · Cited by 228
Inazaki, K., Kanamaru, Y., Kojima, Y., Sueyoshi, N., Okumura, K., Kaneko, K., Yamashiro, Y., Ogawa, H., & Nakao, A. (2004) · Kidney International · doi:10.1111/j.1523-1755.2004.00779.x · Cited by 215
ENCODE: The human encyclopaedia
Maher, B. (2012) · Nature · doi:10.1038/489046a · Cited by 189
Maternal nutritional status in pregnancy and blood pressure in childhood
Godfrey, K. M., Forrester, T., Barker, D. J. P., Jackson, A. A., Landman, J. P., Hall, J. S. E., Cox, V., & Osmond, C. (1994) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.1994.tb11911.x · Cited by 188
Maternal nutritional status in pregnancy and blood pressure in childhood
(1995) · International Journal of Gynecology & Obstetrics · doi:10.1016/0020-7292(95)90331-3 · Cited by 168
Alvarez, H., Opalinska, J., Zhou, L., Sohal, D. P. S., Fazzari, M. J., Yu, Y., Montagna, C., Montgomery, E. A., Canto, M. I., Dunbar, K. B., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001356 · Cited by 142
Self-citationSmad proteins and transforming growth factor-β signaling
Schiffer, M., von Gersdorff, G., Bitzer, M., Suszták, K., & Böttinger, E. P. (2000) · Kidney International · doi:10.1046/j.1523-1755.2000.07708.x · Cited by 114
Epigenetics of major psychosis: progress, problems and perspectives
Labrie, V., Pai, S., & Petronis, A. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.04.002 · Cited by 103
Wilms Tumor Chromatin Profiles Highlight Stem Cell Properties and a Renal Developmental Network
Aiden, A. P., Rivera, M. N., Rheinbay, E., Ku, M., Coffman, E. J., Truong, T. T., Vargas, S. O., Lander, E. S., Haber, D. A., & Bernstein, B. (2010) · Cell stem cell · doi:10.1016/j.stem.2010.03.016 · Cited by 88
A pipeline for the quantitative analysis of CG dinucleotide methylation using mass spectrometry
Thompson, R. F., Suzuki, M., Lau, K. W., & Greally, J. M. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp382 · Cited by 75
Self-citationDiscovering Novel Sequence Motifs with MEME
Bailey, T. L. (2002) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi0204s00 · Cited by 74
Identification of molecular compartments and genetic circuitry in the developing mammalian kidney
Yu, J., Valerius, M. T., Duah, M., Staser, K. W., Hansard, J. K., Guo, J., McMahon, J. A., Vaughan, J. E., Faria, D., Georgas, K. M., et al. (2012) · Development · doi:10.1242/dev.074005 · Cited by 59
Improved similarity scores for comparing motifs
Tanaka, E., Bailey, T. L., Grant, C. E., Noble, W. S., & Keich, U. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr257 · Cited by 58
Genetic Events That Shape the Cancer Epigenome
Ryan, R. J. H., & Bernstein, B. (2012) · Science · doi:10.1126/science.1223730 · Cited by 55
Fetal environment, epigenetics, and pediatric renal disease
Woroniecki, R. P., Gaikwad, A. B., & Suszták, K. (2010) · Pediatric Nephrology · doi:10.1007/s00467-010-1714-8 · Cited by 48
Zhou, L., Opalinska, J., Sohal, D. P. S., Yu, Y., Mo, Y., Bhagat, T. D., Abdel-Wahab, O. I., Fazzari, M. J., Figueroa, M. E., Alencar, C., et al. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.235028 · Cited by 47
Self-citationAzacitidine and the beginnings of therapeutic epigenetic modulation
O’Dwyer, K. M., & Maslak, P. G. (2008) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.9.11.1981 · Cited by 28
DNA methylation profiling using HpaII tiny fragment enrichment by ligation-mediated PCR (HELP)
Suzuki, M., & Greally, J. M. (2010) · Methods · doi:10.1016/j.ymeth.2010.04.013 · Cited by 27
Self-citationWeber, W. W. (2010) · Progress in molecular biology and translational science · doi:10.1016/b978-0-12-385071-3.00010-1 · Cited by 11
Reduced nephron number, renal development and ???programming??? of adult hypertension
Jensen, B. L. (2004) · Journal of Hypertension · doi:10.1097/00004872-200411000-00006 · Cited by 8
Alterations of collagen content in kidney of diabetic rabbits
Djavani, M. M., Yenice, S., Kırkalı, G., Güner, G., & SESSIZ, H. T. (1993) · Biochemical Society Transactions · doi:10.1042/bst021275s · Cited by 3
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Kang, H. M., Ahn, S. H., Choi, P., Ko, Y.-A., Han, S. H., Chinga, F., Park, A. S. D., Tao, J., Sharma, K., Pullman, J., et al. (2015) · Nature Medicine · doi:10.1038/nm.3762 · Cited by 1,555
Self-citationPidsley, R., Zotenko, E., Peters, T. J., Lawrence, M. G., Risbridger, G. P., Molloy, P., Van Djik, S., Muhlhausler, B., Stirzaker, C., & Clark, S. J. (2016) · Genome biology · doi:10.1186/s13059-016-1066-1 · Cited by 1,480
Thomas, M. C., Brownlee, M., Suszták, K., Sharma, K., Jandeleit-Dahm, K. A. M., Zoungas, S., Rossing, P. R., Groop, P., & Cooper, M. E. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.18 · Cited by 1,313
Molecular mechanisms of diabetic kidney disease
Reidy, K. J., Kang, H. M., Hostetter, T. H., & Suszták, K. (2014) · Journal of Clinical Investigation · doi:10.1172/jci72271 · Cited by 929
“Recently, we performed genome-wide cytosine methylation analysis of microdissected human kidney tubule epithelial cells from control and DKD subjects (23, 25).”
Self-citationKidney fibrosis: from mechanisms to therapeutic medicines
Huang, R., Fu, P., & Ma, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01379-7 · Cited by 847
“A study of cytosine methylation in CKD patients discovered these differentially methylated loci in tubules and significant difference of methylation was found in 1061 genes, many of which are known in kidney fibrosis such as TGFβ receptor 3 (TGFBR3), SMAD3, and SMAD6.(172) Some of the genes, like hepatocyte nuclear fa…”
InfluentialThe gut microbiota and the brain–gut–kidney axis in hypertension and chronic kidney disease
Yang, T., Richards, E. M., Pepine, C. J., & Raizada, M. K. (2018) · Nature Reviews Nephrology · doi:10.1038/s41581-018-0018-2 · Cited by 753
Epigenetics and epigenomics in diabetic kidney disease and metabolic memory
Kato, M. V., & Natarajan, R. D. (2019) · Nature Reviews Nephrology · doi:10.1038/s41581-019-0135-6 · Cited by 607
Pattaro, C., Teumer, A., Gorski, M., Chu, A. Y., Li, M., Mijatovic, V., Garnaas, M., Tin, A., Sorice, R., Li, Y., et al. (2016) · Nature Communications · doi:10.1038/ncomms10023 · Cited by 514
“46 Briefly, proximal tubule cells derived from an adult human kidney were harvested and cross-linked with 1% formaldehyde.”
Self-citationEpigenetic mechanisms in diabetic complications and metabolic memory
Reddy, M. A., Zhang, E., & Natarajan, R. D. (2014) · Diabetologia · doi:10.1007/s00125-014-3462-y · Cited by 507
“Of note, an examination of DNAme profiles in microdissected tubuli obtained from patients with CKD and diabetic nephropathy vs controls revealed significant differences in their genome-wide DNAme (methylomes), with key differentially methylated genes being related to fibrosis [52], indicating direct connections betwee…”
Genetic, environmental, and epigenetic factors involved in CAKUT
Nicolaou, N., Renkema, K. Y., Bongers, E. M. H. F., Giles, R. H., & Knoers, N. V. A. M. (2015) · Nature Reviews Nephrology · doi:10.1038/nrneph.2015.140 · Cited by 344
“106 Epigenetic changes might also contribute to the development of CKD by influencing developmental and pro-fibrotic pathways.”
InfluentialDiabetic nephropathy—emerging epigenetic mechanisms
Kato, M. V., & Natarajan, R. D. (2014) · Nature Reviews Nephrology · doi:10.1038/nrneph.2014.116 · Cited by 319
MethHC: a database of DNA methylation and gene expression in human cancer
Huang, W.-Y., Hsu, S., Huang, H., Sun, Y.-M., Chou, C., Weng, S.-L., & Huang, H. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1151 · Cited by 296
“CpG shores), but mostly overlap with putative enhancer regions, and they are enriched in consensus binding sequences for important renal transcription factors (26).”
The next generation of therapeutics for chronic kidney disease
Breyer, M. D., & Suszták, K. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.67 · Cited by 279
Socioeconomic Disparities in Chronic Kidney Disease
Nicholas, S. B., Kalantar‐Zadeh, K., & Norris, K. C. (2015) · Advances in Chronic Kidney Disease · doi:10.1053/j.ackd.2014.07.002 · Cited by 285
Evaluating the Role of Epigenetic Histone Modifications in the Metabolic Memory of Type 1 Diabetes
Miao, F., Chen, Z., GENUTH, S. M., Paterson, A. D., Zhang, L., Wu, X., Li, S. M., Cleary, P. A., Riggs, A. D., Harlan, D. M., et al. (2014) · Diabetes · doi:10.2337/db13-1251 · Cited by 255
Chen, Z., Miao, F., Paterson, A. D., Lachin, J. M., Zhang, L., Schones, D. E., Wu, X., Wang, J., Tompkins, J. D., GENUTH, S. M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1603712113 · Cited by 237
“However, in chronic diseases, such as diabetes and its complications, increasing evidence suggests the importance of DNA-me in regulatory regions, including putative enhancer regions in kidney tissues from patients with diabetic kidney disease (50), intronic enhancers in blood cells type 2 diabetes patients (51), and…”
Treatment of Diabetic Kidney Disease: Current and Future
Yamazaki, T., Mimura, I., Tanaka, T., & Nangaku, M. (2021) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2020.0217 · Cited by 244
Epigenetic regulation in AKI and kidney repair: mechanisms and therapeutic implications
Guo, C., Dong, G., Liang, X., & Dong, Z. (2019) · Nature Reviews Nephrology · doi:10.1038/s41581-018-0103-6 · Cited by 235
Epigenome-wide association studies identify DNA methylation associated with kidney function
Chu, A. Y., Tin, A., Schlosser, P., Ko, Y., Qiu, C., Yao, C., Joehanes, R., Grams, M. E., Liang, L., Gluck, C. A., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01297-7 · Cited by 200
Self-citationWilson, P. C., Muto, Y., Wu, H., Karihaloo, A. K., Waikar, S. S., & Humphreys, B. D. (2022) · Nature Communications · doi:10.1038/s41467-022-32972-z · Cited by 193
Epigenetics and Epigenomics: Implications for Diabetes and Obesity
Rosen, E. D., Kaestner, K. H., Natarajan, R. D., Patti, M., Sallari, R. C., Sander, M., & Suszták, K. (2018) · Diabetes · doi:10.2337/db18-0537 · Cited by 180
Yap/Taz deletion in Gli(+) cell-derived myofibroblasts attenuates fibrosis
Liang, M., Yu, M., Xia, R., Song, K., Wang, J., Luo, J., Chen, G., & Cheng, J. (2017) · Journal of the American Society of Nephrology · doi:10.1681/asn.2015121354 · Cited by 169
Genome-wide Association Studies Identify Genetic Loci Associated With Albuminuria in Diabetes
Teumer, A., Tin, A., Sorice, R., Gorski, M., Yeo, N. C., Chu, A. Y., Li, M., Li, Y., Mijatovic, V., Ko, Y.-A., et al. (2015) · Diabetes · doi:10.2337/db15-1313 · Cited by 162
Self-citationMicrovascular complications in diabetes: A growing concern for cardiologists
Avogaro, A., & Fadini, G. P. (2019) · International Journal of Cardiology · doi:10.1016/j.ijcard.2019.02.030 · Cited by 169
DNA hypermethylation and DNA hypomethylation is present at different loci in chronic kidney disease
Smyth, L. J., McKay, G. J., Maxwell, A. P., & McKnight, A. J. (2013) · Epigenetics · doi:10.4161/epi.27161 · Cited by 159
Targeting epigenetic DNA and histone modifications to treat kidney disease
Fontecha‐Barriuso, M., Martín‐Sánchez, D., Ruiz‐Andrés, O., Poveda, J., Sánchez-Niño, M. D., Rivas, L. V., Ruiz‐Ortega, M., Ortíz, A., & Sanz, A. B. (2018) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfy009 · Cited by 135
Cellular senescence, senescence-associated secretory phenotype, and chronic kidney disease
Wang, W.-J., Cai, G.-Y., & Chen, X.-M. (2017) · Oncotarget · doi:10.18632/oncotarget.17327 · Cited by 121
“The hypomethylation of certain genes, especially key renal transcription factors (Hepatocyte nuclear factor, HNF; Transcription factor AP, TCFAP; Sine oculis homeobox homolog 2, SIX2), has been shown to enhance the baseline expression levels of TGF-β, which participates in renal fibrosis [42].”
Renal development in the fetus and premature infant
Rosenblum, S. D., Pal, A., & Reidy, K. J. (2017) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2017.01.001 · Cited by 117
Li, L., Xiang, T., Guo, J., Guo, F., Wu, Y., Feng, H., Liu, J., Tao, S., Fu, P., & Ma, L. (2024) · Nature Communications · doi:10.1038/s41467-024-47315-3 · Cited by 123
“Despite sharing the same DNA, the kidneys comprise complex tissues of multiple different cell types owing to differential epigenetic modulations that determine the characteristics of each cell type 36 .”
Whole-genome bisulfite sequencing with improved accuracy and costPreprint
Suzuki, M., Liao, W., Wos, F., Johnston, A. D., DeGrazia, J., Ishii, J. K., Bloom, T., Zody, M. C., Germer, S., & Greally, J. M. (2018) · Genome Research · doi:10.1101/gr.232587.117 · Cited by 113
“…increasingly apparent that changes in DNA methylation are more informative at distal cis -regulatory elements rather than canonical promoters (Schmidl et al. 2009; Aran et al. 2013; Blair et al. 2013; Ko et al. 2013; Hu et al. 2014; Rönnerblad et al. 2014; Taberlay et al. 2014; Zhang et al. 2014).”
Self-citationDiabetes Induces Aberrant DNA Methylation in the Proximal Tubules of the Kidney
Marumo, T., Yagi, S., Kawarazaki, W., Nishimoto, M., Ayuzawa, N., Watanabe, A., Ueda, K., Hirahashi, J., Hishikawa, K., Sakurai, H., et al. (2015) · Journal of the American Society of Nephrology · doi:10.1681/asn.2014070665 · Cited by 118
Recent developments in epigenetics of acute and chronic kidney diseases
Reddy, M. A., & Natarajan, R. D. (2015) · Kidney International · doi:10.1038/ki.2015.148 · Cited by 114
Vascular complications in diabetes: Old messages, new thoughts
Forbes, J. M., & Fotheringham, A. K. (2017) · Diabetologia · doi:10.1007/s00125-017-4360-x · Cited by 106
“Agents that target both these isoforms simultaneously are in Phase II clinical trials for DKD (ClinicalTrial.gov registration no.”
InfluentialSystematic integrated analysis of genetic and epigenetic variation in diabetic kidney disease
Sheng, X., Qiu, C., Liu, H., Gluck, C. A., Hsu, J. Y., He, J., Hsu, C., Sha, D., Weir, M. R., Isakova, T., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2005905117 · Cited by 106
Renal Allograft Fibrosis: Biology and Therapeutic Targets
Boor, P., & Floege, J. (2015) · American Journal of Transplantation · doi:10.1111/ajt.13180 · Cited by 102
DNA methylation mediates development of HbA1c-associated complications in type 1 diabetes
Chen, Z., Miao, F., Braffett, B. H., Lachin, J. M., Zhang, L., Wu, X., Roshandel, D., Carless, M. A., Li, X. A., Tompkins, J. D., et al. (2020) · Nature Metabolism · doi:10.1038/s42255-020-0231-8 · Cited by 102
Conserva, F., Barozzino, M., Pesce, F., Divella, C., Oranger, A., Papale, M., Sallustio, F., Simone, S., Laviola, L., Giorgino, F., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-47778-1 · Cited by 97
Ko, Y.-A., Yi, H., Qiu, C., Huang, S., Park, J., Ledó, N., Köttgen, A., Li, H., Rader, D. J., Pack, M. A., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.05.004 · Cited by 95
Self-citationFu, J., Wei, C., Zhang, W., Schlöndorff, D., Wu, J., Cai, M., Wu, H., Baron, M. H., Chuang, P. Y., Liu, Z., et al. (2018) · Kidney International · doi:10.1016/j.kint.2018.02.028 · Cited by 89
Epigenetics in radiation-induced fibrosis
Weigel, C., Schmezer, P., Plass, C., & Popanda, O. (2014) · Oncogene · doi:10.1038/onc.2014.145 · Cited by 91
Liu, H., Liu, X., Zhang, S., Lv, J., Li, S., Shang, S., Jia, S., Wei, Y., Wang, F., Su, J., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1332 · Cited by 85
“Interestingly, accumulating evidence has shown that cell type-specific enhancer activity is dependent on the DNA methylation status (23,24).”
Gluck, C. A., Qiu, C., Han, S. Y., Palmer, M., Park, J., Ko, Y.-A., Guan, Y., Sheng, X., Hanson, R. L., Huang, J. Y., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10378-8 · Cited by 84
Self-citationMaternal obesity increases the risk of metabolic disease and impacts renal health in offspring
Glastras, S. J., Chen, H., Pollock, C. A., & Saad, S. (2018) · Bioscience Reports · doi:10.1042/bsr20180050 · Cited by 83
Understanding the Epigenetic Syntax for the Genetic Alphabet in the Kidney
Suszták, K. (2013) · Journal of the American Society of Nephrology · doi:10.1681/asn.2013050461 · Cited by 81
Epigenetics and the overhealing wound: the role of DNA methylation in fibrosis
Neary, R., Watson, C. J., & Baugh, J. A. (2015) · Fibrogenesis & Tissue Repair · doi:10.1186/s13069-015-0035-8 · Cited by 83
“A core set of genes known to be related to kidney fibrosis, including those encoding collagens, showed cytosine methylation changes correlating with downstream transcript levels, thus implicating a role for epigenetic dysregulation in chronic kidney disease development [56].”
Cytosine methylation predicts renal function decline in American Indians
Qiu, C., Hanson, R. L., Fufaa, G. D., Kobes, S., Gluck, C. A., Huang, J. Y., Chen, Y., Raj, D. S., Nelson, R. G., Knowler, W. C., et al. (2018) · Kidney International · doi:10.1016/j.kint.2018.01.036 · Cited by 78
Epigenetic Regulations in Diabetic Nephropathy
Lu, Z., Liu, N., & Wang, F. (2017) · Journal of Diabetes Research · doi:10.1155/2017/7805058 · Cited by 77
Genetic and epigenetic factors influencing chronic kidney disease
Smyth, L. J., Duffy, S., Maxwell, A. P., & McKnight, A. J. (2014) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00306.2014 · Cited by 75
“DNA methylation is a commonly studied epigenetic modification for complex diseases such 346 as CKD (9; 48; 72; 75; 108; 118; 139; 142; 146).”
Zimmermann, M. T., Oberg, A. L., Grill, D. E., Ovsyannikova, I. G., Haralambieva, I. H., Kennedy, R. B., & Poland, G. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152034 · Cited by 71
Functional methylome analysis of human diabetic kidney disease
Park, J., Guan, Y., Sheng, X., Gluck, C. A., Seasock, M. J., Hakimi, A. A., Qiu, C., Pullman, J. M., Verma, A. K., Li, H., et al. (2019) · JCI Insight · doi:10.1172/jci.insight.128886 · Cited by 74
Self-citationPrattichizzo, F., de Candia, P., & Ceriello, A. (2021) · Metabolism · doi:10.1016/j.metabol.2021.154799 · Cited by 80
Swan, E. J., Maxwell, A. P., & McKnight, A. J. (2015) · Diabetic Medicine · doi:10.1111/dme.12775 · Cited by 71
Epigenetic Modification Mechanisms Involved in Inflammation and Fibrosis in Renal Pathology
Morgado‐Pascual, J. L., Marchant, V. A., Rodrigues-Díez, R. R., Doladé, N. G., Suárez-Álvarez, B., Kerr, B., Valdivielso, J. M., Ruiz‐Ortega, M., & Rayego‐Mateos, S. (2018) · Mediators of Inflammation · doi:10.1155/2018/2931049 · Cited by 73
Epithelial Cell Cycle Behaviour in the Injured Kidney
Moonen, L., D’Haese, P. C., & Vervaet, B. A. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19072038 · Cited by 72
Epigenetic instability of imprinted genes in human cancers
Kim, J., Bretz, C. L., & Lee, S.-M. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv867 · Cited by 66
Epigenetic Modifiers as Potential Therapeutic Targets in Diabetic Kidney Disease
Martinez-Moreno, J. M., Fontecha‐Barriuso, M., Martín‐Sánchez, D., Guerrero‐Mauvecin, J., Gomá-Garcés, E., Fernández‐Fernández, B., Carriazo, S. M., Sánchez-Niño, M. D., Ramos, A. M., Ruiz‐Ortega, M., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21114113 · Cited by 68
Sadler, T. M., Bhasin, J., Xu, Y., Barnholz-Sloan, J., Chen, Y., Ting, A. H., & Stylianou, E. (2016) · Clinical Epigenetics · doi:10.1186/s13148-016-0193-6 · Cited by 75
“Moreover, all published studies to date of the DNA methylation in fibrotic diseases have been limited to studying restricted subsets of genes or to the use of microarrays that lack genome-wide coverage [17–23].”
Guo, C., Pei, L., Xiao, X., Wei, Q., Chen, J., Ding, H., Huang, S., Fan, G., Shi, H., & Dong, Z. (2017) · Kidney International · doi:10.1016/j.kint.2017.03.038 · Cited by 66
Gjaltema, R. A. F., de Rond, S., Rots, M. G., & Bank, R. A. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.634311 · Cited by 66
Wanner, N., & Bechtel‐Walz, W. (2017) · Cell and Tissue Research · doi:10.1007/s00441-017-2588-x · Cited by 66
“of techniques to isolate sufficient numbers of specific renal cells (Ko et al. 2013) and by commercial arrays that now”
Li, Y., Chen, F., Wei, A., Bi, F., Zhu, X., Yin, S., Lin, W., & Cao, W. (2019) · Journal of Molecular Medicine · doi:10.1007/s00109-019-01759-z · Cited by 66
Zhang, Q., Yin, S., Liu, L., Liu, Z., & Cao, W. (2016) · Scientific Reports · doi:10.1038/srep34597 · Cited by 65
Post-conversion targeted capture of modified cytosines in mammalian and plant genomes
Li, Q., Suzuki, M., Wendt, J., Patterson, N. E., Eichten, S. R., Hermanson, P. J., Green, D., Jeddeloh, J. A., Richmond, T., Rosenbaum, H., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv244 · Cited by 62
Self-citationLedó, N., Ko, Y.-A., Park, A. S. D., Kang, H. M., Han, S. Y., Choi, P., & Suszták, K. (2014) · Journal of the American Society of Nephrology · doi:10.1681/asn.2014010028 · Cited by 60
Self-citationChang, Y., & Singh, K. P. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.27244 · Cited by 58
Epigenetics in kidney diseases
Ding, H., Zhang, L., Yang, Q., Zhang, X., & Li, X. (2020) · Advances in clinical chemistry · doi:10.1016/bs.acc.2020.09.005 · Cited by 60
Epigenetics: a new way to look at kidney diseases
Beckerman, P., Ko, Y.-A., & Suszták, K. (2014) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfu026 · Cited by 58
“Using complex statistical analytical methods we identified 4751 DMRs when control and CKD kidney samples were compared [43].”
Self-citationMimura, I., Chen, Z., & Natarajan, R. D. (2024) · Kidney International · doi:10.1016/j.kint.2024.10.031 · Cited by 60
Drug repurposing in kidney disease
Panchapakesan, U., & Pollock, C. A. (2018) · Kidney International · doi:10.1016/j.kint.2017.12.026 · Cited by 55
Genomic approaches in the search for molecular biomarkers in chronic kidney disease
Cañadas‐Garre, M., Anderson, K., McGoldrick, J., Maxwell, A. P., & McKnight, A. J. (2018) · Journal of Translational Medicine · doi:10.1186/s12967-018-1664-7 · Cited by 55
Merkt, W., Zhou, Y., Han, H., & Lagares, D. (2021) · Wound Repair and Regeneration · doi:10.1111/wrr.12952 · Cited by 60
“COLIVA1, TGFBR3, SMAD3, SMAD6 has been described in kidney fibrosis.(121) Acetylation and methylation of histone proteins have been”
Seki, Y., Suzuki, M., Guo, X., Glenn, A. S., Vuguin, P. M., Fiallo, A., Du, Q., Ko, Y.-A., Yu, Y., Suszták, K., et al. (2017) · Endocrinology · doi:10.1210/en.2017-00334 · Cited by 54
“GSM722764) as previously detailed (18).”
Self-citationDevelopment of a 2-dimensional atlas of the human kidney with imaging mass cytometry
Singh, N., Avigan, Z. M., Kliegel, J. A., Shuch, B. M., Montgomery, R. R., Moeckel, G. W., & Cantley, L. G. (2019) · JCI Insight · doi:10.1172/jci.insight.129477 · Cited by 49
Unravelling the complex genetics of common kidney diseases: from variants to mechanisms
Sullivan, K. M., & Suszták, K. (2020) · Nature Reviews Nephrology · doi:10.1038/s41581-020-0298-1 · Cited by 52
The chromatin landscape of healthy and injured cell types in the human kidney
Gisch, D. L., Brennan, M., Lake, B. B., Basta, J. M., Keller, M. S., Ferreira, R. M., Akilesh, S., Ghag, R. R., Lu, C., Cheng, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-023-44467-6 · Cited by 50
Self-citationAberrantly methylated DNA regions lead to low activation of CD4+ T-cells in IgA nephropathy
Sallustio, F., Serino, G., Cox, S. N., Gassa, A. D., Curci, C., Palma, G. D., Banelli, B., Zaza, G., Romani, M., & Schena, F. P. (2016) · Clinical Science · doi:10.1042/cs20150711 · Cited by 51
Li, S., Park, J., Guan, Y., Chung, K., Shrestha, R., Palmer, M. B., & Suszták, K. (2019) · Journal of the American Society of Nephrology · doi:10.1681/asn.2018070687 · Cited by 47
Developmental Genetics and Congenital Anomalies of the Kidney and Urinary Tract
Uy, N., & Reidy, K. J. (2015) · Journal of Pediatric Genetics · doi:10.1055/s-0035-1558423 · Cited by 47
Genome-wide view of natural antisense transcripts in Arabidopsis thaliana
Yuan, C., Wang, J., Harrison, A., Meng, X., Chen, D., & Chen, M. (2015) · DNA Research · doi:10.1093/dnares/dsv008 · Cited by 45
Yang, L.-L., Zhang, Q., Wu, Q., Yi, W., Yu, J., Mu, J., Zhang, J., Zeng, W., & Feng, B. (2018) · Life Sciences · doi:10.1016/j.lfs.2018.04.044 · Cited by 45
Pushpakumar, S. B., Kundu, S., Narayanan, N., & Sen, U. (2015) · The FASEB Journal · doi:10.1096/fj.15-272443 · Cited by 43
Xiao, X., Wang, W., Guo, C., Wu, J., Zhang, S., Shi, H., Kwon, S., Chen, J., & Dong, Z. (2024) · Kidney International · doi:10.1016/j.kint.2024.02.023 · Cited by 42
“7,12,31 In the identified 94 genes, only 5 had promoter hypermethylation in UUO that was suppressed by 5-Aza, namely A930004D18Rik, 6330409D20Rik, Pds5b, Hoxa5, and AI428936 (Figure 3a).”
Mechanisms of metabolic memory and renal hypoxia as a therapeutic target in diabetic kidney disease
Hirakawa, Y., Tanaka, T., & Nangaku, M. (2017) · Journal of Diabetes Investigation · doi:10.1111/jdi.12624 · Cited by 43
Epigenetics and Type 2 Diabetes Risk
Dhawan, S., & Natarajan, R. D. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1168-8 · Cited by 46
Epigenetic Mechanisms of the Aging Human Retina
Pennington, K. L., & DeAngelis, M. M. (2015) · Journal of Experimental Neuroscience · doi:10.4137/jen.s25513 · Cited by 42
Yan, Y., Liu, H., Abedini, A., Sheng, X., Palmer, M., Li, H., & Suszták, K. (2024) · Nature Communications · doi:10.1038/s41467-024-45295-y · Cited by 40
Decreased KAT5 Expression Impairs DNA Repair and Induces Altered DNA Methylation in Kidney Podocytes
Hishikawa, A., Hayashi, K., Abe, T., Kaneko, M., Yokoi, H., Azegami, T., Nakamura, M., Yoshimoto, N., Kanda, T., Sakamaki, Y., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.01.005 · Cited by 42
The Contribution of Histone Crotonylation to Tissue Health and Disease: Focus on Kidney Health
Martinez-Moreno, J. M., Fontecha‐Barriuso, M., Martín‐Sánchez, D., Sánchez-Niño, M. D., Ruiz‐Ortega, M., Sanz, A. B., & Ortíz, A. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00393 · Cited by 41
Perspectives on the role of PTEN in diabetic nephropathy: an update
Khokhar, M., Roy, D., Modi, A., Agarwal, R. G., Yadav, D., Purohit, P., & Sharma, P. (2020) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2020.1746735 · Cited by 43
Epigenetics and Cardiovascular Disease in Diabetes
Pasquier, J., Hoarau-Véchot, J., Fakhro, K. A., Rafii, A., & Khalil, C. A. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0677-3 · Cited by 41
Miller, B., Petrykowska, H. M., & Elnitski, L. L. (2021) · Scientific Reports · doi:10.1038/s41598-020-80345-7 · Cited by 42
Reduced methylation correlates with diabetic nephropathy risk in type 1 diabetes
Khurana, I., Kaipananickal, H., Maxwell, S., Birkelund, S., Syreeni, A., Forsblom, C. M., Okabe, J., Ziemann, M., Kaspi, A., Rafehi, H., et al. (2023) · Journal of Clinical Investigation · doi:10.1172/jci160959 · Cited by 38
“Reduced DNA methylation at CTCF and Pol2B sites was tightly connected with DN pathways that include insulin signaling, lipid metabolism, and fibrosis.”
InfluentialEpigenetics in Kidney Transplantation
Mas, V. R., Le, T. H., & Maluf, D. G. (2015) · Transplantation · doi:10.1097/tp.0000000000000878 · Cited by 39
Role of Kidney Biopsies for Biomarker Discovery in Diabetic Kidney Disease
Looker, H. C., Mauer, M. S., & Nelson, R. G. (2018) · Advances in Chronic Kidney Disease · doi:10.1053/j.ackd.2017.11.004 · Cited by 39
Larkin, B. P., Glastras, S. J., Chen, H., Pollock, C. A., & Saad, S. (2018) · The FASEB Journal · doi:10.1096/fj.201800205r · Cited by 40
Guo, K., Elzinga, S. E., Eid, S., Figueroa‐Romero, C., Hinder, L. M., Pacut, C. M., Feldman, E. L., & Hur, J. (2019) · Epigenetics · doi:10.1080/15592294.2019.1615352 · Cited by 39
Bontha, S. V., Maluf, D. G., Archer, K. J., Dumur, C. I., Dozmorov, M. G., King, A. L., Akalin, E., Mueller, T., Gallon, L. G., & Mas, V. R. (2017) · American Journal of Transplantation · doi:10.1111/ajt.14372 · Cited by 37
High Glucose–Induced Hypomethylation Promotes Binding of Sp-1 to Myo-Inositol Oxygenase
Sharma, I., Dutta, R. K., Singh, N. K., & Kanwar, Y. S. (2017) · American Journal Of Pathology · doi:10.1016/j.ajpath.2016.12.011 · Cited by 37
Genome-wide assays that identify and quantify modified cytosines in human disease studies
Ulahannan, N., & Greally, J. M. (2015) · Epigenetics & Chromatin · doi:10.1186/1756-8935-8-5 · Cited by 36
“This is now being identified in cancer [65,68-70] and noncancerous conditions [66,67] as well as normal cell differentiation [71].”
InfluentialSelf-citationMoler, E. R. V., Abakir, A., Eleftheriou, M., Johnson, J. S., Krutovsky, K. V., Lewis, L. C., Ruzov, A. S., Whipple, A. V., & Rajora, O. P. (2018) · Population genomics · doi:10.1007/13836_2018_59 · Cited by 35
Metadata
- Authors
- Ko, Y.-A., Mohtat, D., Suzuki, M., Park, A. S. D., Izquierdo, M. C., Han, S. Y., Kang, H. M., Si, H., Hostetter, T., Pullman, J. M., Fazzari, M., Verma, A., Zheng, D., Greally, J. M., & Susztak, K.
- Affiliations
- University of Pennsylvania (US)
- Albert Einstein College of Medicine (US)
- Case Western Reserve University (US)
- Montefiore Medical Center (US)
- Corresponding author
- Greally, John M
- ORCID
- Venue
- Genome Biology
- Published
- 2013-12-10
- Volume
- 14
- Issue
- 10
- Pages
- R108-R108
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC4053753
- OpenAlex
- W2130816592
- Cited by
- 225
- References
- 35
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 19 · 2023: 9 · 2022: 10 · 2021: 14 · 2020: 16 · 2019: 24 · 2018: 29 · 2017: 20 · 2016: 16 · 2015: 30 · 2014: 16 · 2013: 3
- FWCI
- 9.71
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK087635)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- cytosine methylation, renal fibrosis, chronic kidney disease, differentially methylated regions, enhancers, epigenetic dysregulation, collagen genes, gene expression regulation, developmental programming, biomarkers
- MeSH terms
- Aged, Base Sequence, Binding Sites, Cytosine, Enhancer Elements, Genetic, Fibrosis, Gene Expression Regulation, Humans, Kidney, Middle Aged, Transcription Factors, Transcription, Genetic, Reproducibility of Results, Cluster Analysis, Case-Control Studies, DNA Methylation, Gene Expression Profiling, Renal Insufficiency, Chronic, Gene Regulatory Networks, Position-Specific Scoring Matrices, Nucleotide Motifs
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