Fairweather J, Findlay M, Isles C. Clinical Companion in Nephrology. Cham: Springer; 2020.

Book  Google Scholar 

Levin AS, Bilous RW, Coresh J. Chapter 1 Definition and classification of CKD. Kidney Int Suppl. 2013;3:19–62.

Article  Google Scholar 

Musso CG, Álvarez-Gregori J, Jauregui J, Macías-Núñez JF. Glomerular filtration rate equations: a comprehensive review. Int Urol Nephrol. 2016;48:1105–10.

Article  PubMed  Google Scholar 

Steubl D, Block M, Herbst V, Nockher WA, Schlumberger W, Satanovskij R, et al. Plasma uromodulin correlates with kidney function and identifies early stages in chronic kidney disease patients. Medicine. 2016;95: e3011.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Mancilla E, Avila-Casado C, Uribe-Uribe N, Morales-Buenrostro LE, Rodríguez F, Vilatoba M, et al. Time-zero renal biopsy in living kidney transplantation: a valuable opportunity to correlate predonation clinical data with histological abnormalities. Transplantation. 2008;86:1684–8.

Article  PubMed  Google Scholar 

Okamoto M, Koshino K, Nobori S, Ushigome H, Okajima H, Urasaki K, et al. Analysis of preexisting baseline kidney lesions revealed by biopsy in living kidney donors: relationship with clinical parameters at the time of donation. Clin Transplant. 2010;24(Suppl 22):27–30.

Article  PubMed  Google Scholar 

El Agha E, Kramann R, Schneider RK, Li X, Seeger W, Humphreys BD, et al. Mesenchymal stem cells in fibrotic disease. Cell Stem Cell. 2017;21:166–77.

Article  PubMed  Google Scholar 

Brück K, Stel VS, Gambaro G, Hallan S, Völzke H, Ärnlöv J, et al. CKD prevalence varies across the European general population. J Am Soc Nephrol. 2016;27:2135–47.

Article  PubMed  Google Scholar 

Kampmann JD, Heaf JG, Mogensen CB, Mickley H, Wolff DL, Brandt F. Prevalence and incidence of chronic kidney disease stage 3–5 - results from KidDiCo. BMC Nephrol. 2023;24:17.

Article  PubMed  PubMed Central  Google Scholar 

Hill NR, Fatoba ST, Oke JL, Hirst JA, O’Callaghan CA, Lasserson DS, et al. Global prevalence of chronic kidney disease - a systematic review and meta-analysis. PLoS ONE. 2016;11: e0158765.

Article  PubMed  PubMed Central  Google Scholar 

Uthman OA. Global, regional, and national life expectancy, all-cause and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388(10053):1459–544.

Article  Google Scholar 

Levin A, Stevens PE. Early detection of CKD: the benefits, limitations and effects on prognosis. Nat Rev Nephrol. 2011;7:446–57.

Article  CAS  PubMed  Google Scholar 

Lu AT, Quach A, Wilson JG, Reiner AP, Aviv A, Raj K, et al. DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging. 2019;11:303–27.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Horvath S. DNA methylation age of human tissues and cell types. Genome Biol. 2013;14:R115.

Article  PubMed  PubMed Central  Google Scholar 

Hannum G, Guinney J, Zhao L, Zhang L, Hughes G, Sadda S, et al. Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol Cell. 2013;49:359–67.

Article  CAS  PubMed  Google Scholar 

Gluck C, Qiu C, Han SY, Palmer M, Park J, Ko Y-A, et al. Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease. Nat Commun. 2019;10:2461.

Article  PubMed  PubMed Central  Google Scholar 

Al-Dabet MM, Shahzad K, Elwakiel A, Sulaj A, Kopf S, Bock F, et al. Reversal of the renal hyperglycemic memory in diabetic kidney disease by targeting sustained tubular p21 expression. Nat Commun. 2022;13:5062.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Neytchev O, Erlandsson H, Witasp A, Nordfors L, Qureshi AR, Iseri K, et al. Epigenetic clocks indicate that kidney transplantation and not dialysis mitigate the effects of renal ageing. J Intern Med. 2023. https://doi.org/10.1111/joim.13724.

Article  PubMed  Google Scholar 

Dritsoula A, Kislikova M, Oomatia A, Webster AP, Beck S, Ponticos M, et al. Epigenome-wide methylation profile of chronic kidney disease-derived arterial DNA uncovers novel pathways in disease-associated cardiovascular pathology. Epigenetics. 2021;16:718–28.

Article  PubMed  Google Scholar 

Rysz J, Franczyk B, Rysz-Górzyńska M, Gluba-Brzózka A. Are Alterations in DNA Methylation Related to CKD Development? Int J Mol Sci. 2022. https://doi.org/10.3390/ijms23137108.

Article  PubMed  PubMed Central  Google Scholar 

Schlosser P, Tin A, Matias-Garcia PR, Thio CHL, Joehanes R, Liu H, et al. Meta-analyses identify DNA methylation associated with kidney function and damage. Nat Commun. 2021;12:7174.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ko Y-A, Mohtat D, Suzuki M, Park ASD, Izquierdo MC, Han SY, et al. Cytosine methylation changes in enhancer regions of core pro-fibrotic genes characterize kidney fibrosis development. Genome Biol. 2013;14:R108.

Article  PubMed  PubMed Central  Google Scholar 

Chu AY, Tin A, Schlosser P, Ko Y-A, Qiu C, Yao C, et al. Epigenome-wide association studies identify DNA methylation associated with kidney function. Nat Commun. 2017;8:1286.

Article  PubMed  PubMed Central  Google Scholar 

Sheng X, Qiu C, Liu H, Gluck C, Hsu JY, He J, et al. Systematic integrated analysis of genetic and epigenetic variation in diabetic kidney disease. Proc Natl Acad Sci U S A. 2020;117:29013–24.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Wing MR, Devaney JM, Joffe MM, Xie D, Feldman HI, Dominic EA, et al. DNA methylation profile associated with rapid decline in kidney function: findings from the CRIC study. Nephrol Dial Transplant. 2014;29:864–72.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sapienza C, Lee J, Powell J, Erinle O, Yafai F, Reichert J, et al. DNA methylation profiling identifies epigenetic differences between diabetes patients with ESRD and diabetes patients without nephropathy. Epigenetics. 2011;6:20–8.

Article  CAS  PubMed  Google Scholar 

Smyth LJ, McKay GJ, Maxwell AP, McKnight AJ. DNA hypermethylation and DNA hypomethylation is present at different loci in chronic kidney disease. Epigenetics. 2014;9:366–76.

Article  CAS  PubMed  Google Scholar 

Rakyan VK, Down TA, Balding DJ, Beck S. Epigenome-wide association studies for common human diseases. Nat Rev Genet. 2011;12:529–41.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Breeze CE, Batorsky A, Lee MK, Szeto MD, Xu X, McCartney DL, et al. Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci. Genome Med. 2021;13:74.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kangaspeska S, Stride B, Métivier R, Polycarpou-Schwarz M, Ibberson D, Carmouche RP, et al. Transient cyclical methylation of promoter DNA. Nature. 2008;452:112–5.

Article  CAS  PubMed  Google Scholar 

Métivier R, Gallais R, Tiffoche C, Le Péron C, Jurkowska RZ, Carmouche RP, et al. Cyclical DNA methylation of a transcriptionally active promoter. Nature. 2008;452:45–50.

Article  PubMed  Google Scholar 

Bonder MJ, Luijk R, Zhernakova DV, Moed M, Deelen P, Vermaat M, et al. Disease variants alter transcription factor levels and methylation of their binding sites. Nat Genet. 2017;49:131–8.

Article  CAS  PubMed  Google Scholar 

Héberlé É, Bardet AF. Sensitivity of transcription factors to DNA methylation. Essays Biochem. 2019;63:727–41.

Article  PubMed  PubMed Central  Google Scholar 

Bontha SV, Maluf DG, Archer KJ, Dumur CI, Dozmorov MG, King AL, et al. Effects of DNA methylation on progression to interstitial fibrosis and tubular atrophy in renal allograft biopsies: a multi-omics approach. Am J Transplant. 2017;17:3060–75.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Xiong Z, Li M, Ma Y, Li R, Bao Y. GMQN: a reference-based method for correcting batch effects and probe bias in humanmethylation beadchip. Front Genet. 2021;12: 810985.

Article  CAS  PubMed  Google Scholar 

Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009;4:44–57.

Article  CAS  PubMed  Google Scholar 

Irizarry RA, Ladd-Acosta C, Wen B, Wu Z, Montano C, Onyango P, et al. The human colon cancer methylome shows similar hypo- and hypermethylation at conserved tissue-specific CpG island shores. Nat Genet. 2009;41:178–86.