Pouwer F, Mizokami-Stout K, Reeves ND et al (2023) Psychosocial care for people with diabetic neuropathy: time for action. Diabetes Care 47(1):17–25. https://doi.org/10.2337/dci23-0033
Article PubMed Central Google Scholar
Sloan G, Selvarajah D, Tesfaye S (2021) Pathogenesis, diagnosis and clinical management of diabetic sensorimotor peripheral neuropathy. Nat Rev Endocrinol 17(7):400–420. https://doi.org/10.1038/s41574-021-00496-z
Martin CL, Albers JW, Pop-Busui R, DCCT/EDIC Research Group (2014) Neuropathy and related findings in the diabetes control and complications trial/epidemiology of diabetes interventions and complications study. Diabetes Care 37(1):31–38. https://doi.org/10.2337/dc13-2114
Article CAS PubMed Google Scholar
Hicks CW, Selvin E (2019) Epidemiology of peripheral neuropathy and lower extremity disease in diabetes. Curr Diab Rep 19(10):86. https://doi.org/10.1007/s11892-019-1212-8
Article CAS PubMed PubMed Central Google Scholar
Jensen TS, Karlsson P, Gylfadottir SS et al (2021) Painful and non-painful diabetic neuropathy, diagnostic challenges and implications for future management. Brain 144(6):1632–1645. https://doi.org/10.1093/brain/awab079
Article PubMed PubMed Central Google Scholar
Misra UK, Kalita J, Nair PP (2008) Diagnostic approach to peripheral neuropathy. Ann Indian Acad Neurol 11(2):89–97. https://doi.org/10.4103/0972-2327.41875
Article PubMed PubMed Central Google Scholar
Feldman EL, Callaghan BC, Pop-Busui R et al (2019) Diabetic neuropathy. Nat Rev Dis Primers 5(1):1–18. https://doi.org/10.1038/s41572-019-0092-1
Braffett BH, El ghormli L, Albers JW et al (2024) Neuropathic pain with and without diabetic peripheral neuropathy in type 1 diabetes. Diabetes Care 47(9):1559–1567. https://doi.org/10.2337/dc23-1749
Smyth LJ, Dahlström EH, Syreeni A et al (2022) Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease. Nat Commun 13(1):7891. https://doi.org/10.1038/s41467-022-34963-6
Article CAS PubMed PubMed Central Google Scholar
Miller RG, Mychaleckyj JC, Onengut-Gumuscu S, Orchard TJ, Costacou T (2024) An epigenome-wide association study of DNA methylation and proliferative retinopathy over 28 years in type 1 diabetes. Ophthalmol Sci 4(4):100497. https://doi.org/10.1016/j.xops.2024.100497
Article PubMed PubMed Central Google Scholar
Chen Z, Miao F, Braffett BH et al (2020) DNA methylation mediates development of HbA1c-associated complications in type 1 diabetes. Nat Metab 2(8):744–762. https://doi.org/10.1038/s42255-020-0231-8
Article CAS PubMed PubMed Central Google Scholar
Miller RG, Mychaleckyj JC, Onengut-Gumuscu S, Feingold E, Orchard TJ, Costacou T (2023) DNA methylation and 28-year cardiovascular disease risk in type 1 diabetes: the Epidemiology of Diabetes Complications (EDC) cohort study. Clin Epigenetics 15(1):122. https://doi.org/10.1186/s13148-023-01539-0
Article CAS PubMed PubMed Central Google Scholar
Gastoł J, Kapusta P, Polus A et al (2020) Epigenetic mechanism in search for the pathomechanism of diabetic neuropathy development in diabetes mellitus type 1 (T1DM). Endocrine 68(1):235–240. https://doi.org/10.1007/s12020-019-02172-9
Article CAS PubMed Google Scholar
Orchard TJ, Dorman JS, Maser RE et al (1990) Prevalence of complications in IDDM by sex and duration. Pittsburgh Epidemiology of Diabetes Complications Study II. Diabetes 39(9):1116–1124. https://doi.org/10.2337/diab.39.9.1116
Article CAS PubMed Google Scholar
Moran S, Arribas C, Esteller M (2016) Validation of a DNA methylation microarray for 850,000 CpG sites of the human genome enriched in enhancer sequences. Epigenomics 8(3):389–399. https://doi.org/10.2217/epi.15.114
Article CAS PubMed Google Scholar
Aryee MJ, Jaffe AE, Corrada-Bravo H et al (2014) Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics 30(10):1363–1369. https://doi.org/10.1093/bioinformatics/btu049
Article CAS PubMed PubMed Central Google Scholar
Zhou W, Triche TJ, Laird PW, Shen H (2018) SeSAMe: reducing artifactual detection of DNA methylation by Infinium BeadChips in genomic deletions. Nucleic Acids Res 46(20):e123. https://doi.org/10.1093/nar/gky691
Article CAS PubMed PubMed Central Google Scholar
Zhou W, Laird PW, Shen H (2017) Comprehensive characterization, annotation and innovative use of Infinium DNA methylation BeadChip probes. Nucleic Acids Res 45(4):e22. https://doi.org/10.1093/nar/gkw967
Article CAS PubMed Google Scholar
Salas L, Koestler D (2024) FlowSorted.Blood.EPIC: Illumina EPIC data on immunomagnetic sorted peripheral adult blood cells. R package version 2.10.0, https://github.com/immunomethylomics/FlowSorted.Blood.EPIC
The DCCT Research Group (1988) Factors in development of diabetic neuropathy: baseline analysis of neuropathy in feasibility phase of Diabetes Control and Complications Trial (DCCT). Diabetes 37(4):476–481. https://doi.org/10.2337/diab.37.4.476
Feldman EL, Stevens MJ, Thomas PK, Brown MB, Canal N, Greene DA (1994) A practical two-step quantitative clinical and electrophysiological assessment for the diagnosis and staging of diabetic neuropathy. Diabetes Care 17(11):1281–1289. https://doi.org/10.2337/diacare.17.11.1281
Article CAS PubMed Google Scholar
Salem RM, Todd JN, Sandholm N et al (2019) Genome-wide association study of diabetic kidney disease highlights biology involved in glomerular basement membrane collagen. J Am Soc Nephrol 30(10):2000–2016. https://doi.org/10.1681/ASN.2019030218
Article CAS PubMed PubMed Central Google Scholar
Ruiz-Arenas C, Hernandez-Ferrer C, Vives-Usano M et al (2022) Identification of autosomal cis expression quantitative trait methylation (cis eQTMs) in children’s blood. eLife 11:e65310. https://doi.org/10.7554/eLife.65310
Article CAS PubMed PubMed Central Google Scholar
Bönhof GJ, Herder C, Strom A, Papanas N, Roden M, Ziegler D (2019) Emerging biomarkers, tools, and treatments for diabetic polyneuropathy. Endocr Rev 40(1):153–192. https://doi.org/10.1210/er.2018-00107
Min JL, Hemani G, Hannon E et al (2021) Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation. Nat Genet 53(9):1311–1321. https://doi.org/10.1038/s41588-021-00923-x
Article CAS PubMed PubMed Central Google Scholar
Sheng X, Qiu C, Liu H et al (2020) Systematic integrated analysis of genetic and epigenetic variation in diabetic kidney disease. Proc Natl Acad Sci 117(46):29013–29024. https://doi.org/10.1073/pnas.2005905117
Article CAS PubMed PubMed Central Google Scholar
Kurki MI, Karjalainen J, Palta P et al (2023) FinnGen provides genetic insights from a well-phenotyped isolated population. Nature 613(7944):508–518. https://doi.org/10.1038/s41586-022-05473-8
Article CAS PubMed PubMed Central Google Scholar
Phipson B, Maksimovic J, Oshlack A (2016) missMethyl: an R package for analyzing data from Illumina’s HumanMethylation450 platform. Bioinformatics 32(2):286–288. https://doi.org/10.1093/bioinformatics/btv560
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