Stener-Victorin E, Deng Q. Epigenetic inheritance of polycystic ovary syndrome - challenges and opportunities for treatment. Nat Rev Endocrinol. 2021;17(9):521–33.
Cioana M, Deng J, Nadarajah A, Hou M, Qiu Y, Chen SSJ, et al. Prevalence of polycystic ovary syndrome in patients with Pediatric Type 2 diabetes: a systematic review and Meta-analysis. JAMA Netw Open. 2022;5(2):47454.
Teede HJ, Misso ML, Costello MF, Dokras A, Laven J, Moran L, et al. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Hum Reprod. 2018;33(9):1602–18.
Article PubMed PubMed Central Google Scholar
Stepto NK, Cassar S, Joham AE, Hutchison SK, Harrison CL, Goldstein RF, et al. Women with polycystic ovary syndrome have intrinsic insulin resistance on euglycaemic-hyperinsulaemic clamp. Hum Reprod. 2013;28(3):777–84.
Article CAS PubMed Google Scholar
Escobar-Morreale HF. Polycystic ovary syndrome: definition, aetiology, diagnosis and treatment. Nat Rev Endocrinol. 2018;14(5):270–84.
Moolhuijsen LME, Visser JA. Anti-Müllerian hormone and Ovarian Reserve: update on assessing ovarian function. J Clin Endocrinol Metab. 2020;105(11):3361–73.
Article PubMed PubMed Central Google Scholar
Baillargeon JP, Carpentier A. Role of insulin in the hyperandrogenemia of lean women with polycystic ovary syndrome and normal insulin sensitivity. Fertil Steril. 2007;88(4):886–93.
Article CAS PubMed PubMed Central Google Scholar
Day F, Karaderi T, Jones MR, Meun C, He C, Drong A et al. Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria. PLoS Genet. 2018;14(12).
Gorsic LK, Kosova G, Werstein B, Sisk R, Legro RS, Hayes MG, et al. Pathogenic Anti-Müllerian hormone variants in polycystic ovary syndrome. J Clin Endocrinol Metab. 2017;102(8):2862–72.
Article PubMed PubMed Central Google Scholar
Joham AE, Norman RJ, Stener-Victorin E, Legro RS, Franks S, Moran LJ, et al. Polycystic ovary syndrome. Lancet Diabetes Endocrinol. 2022;10(9):668–80.
Article CAS PubMed Google Scholar
Walter P, Ron D. The unfolded protein response: from stress pathway to homeostatic regulation. Science. 2011;334(6059):1081–6.
Article CAS PubMed Google Scholar
Koike H, Harada M, Kusamoto A, Xu Z, Tanaka T, Sakaguchi N et al. Roles of endoplasmic reticulum stress in the pathophysiology of polycystic ovary syndrome. Front Endocrinol. 2023;14(1124405).
Harada M, Takahashi N, Azhary JM, Kunitomi C, Fujii T, Osuga Y. Endoplasmic reticulum stress: a key regulator of the follicular microenvironment in the ovary. Mol Hum Reprod. 2021;27(1).
Turathum B, Gao EM, Chian RC. The function of cumulus cells in oocyte growth and maturation and in subsequent ovulation and fertilization. Cells. 2021;10(9):2292.
Azhary JMK, Harada M, Kunitomi C, Kusamoto A, Takahashi N, Nose E et al. Androgens increase accumulation of advanced glycation end products in granulosa cells by activating ER stress in PCOS. Endocrinology. 2020;161(2).
Jin L, Yang Q, Zhou C, Liu L, Wang H, Hou M, et al. Profiles for long non-coding RNAs in ovarian granulosa cells from women with PCOS with or without hyperandrogenism. Reprod Biomed Online. 2018;37(5):613–23.
Article CAS PubMed Google Scholar
Zhao J, Xu J, Wang W, Zhao H, Liu H, Liu X et al. Long non-coding RNA LINC-01572:28 inhibits granulosa cell growth via a decrease in p27 (Kip1) degradation in patients with polycystic ovary syndrome. EBioMedicine. 2018;36:526– 38.
Na Z, Guo W, Song J, Feng D, Fang Y, Li D. Identification of novel candidate biomarkers and immune infiltration in polycystic ovary syndrome. J Ovarian Res. 2022;15(1):022–01013.
Mao Z, Li T, Zhao H, Qin Y, Wang X, Kang Y. Identification of epigenetic interactions between microRNA and DNA methylation associated with polycystic ovarian syndrome. J Hum Genet. 2021;66(2):123–37.
Article CAS PubMed Google Scholar
Leek JT, Johnson WE, Parker HS, Jaffe AE, Storey JD. The sva package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics. 2012;28(6):882–3.
Article CAS PubMed PubMed Central Google Scholar
Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):20.
Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008;9(559):1471–2105.
Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–50.
Article CAS PubMed PubMed Central Google Scholar
Warde-Farley D, Donaldson SL, Comes O, Zuberi K, Badrawi R, Chao P et al. The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res. 2010;38(Web Server issue).
Bu D, Luo H, Huo P, Wang Z, Zhang S, He Z, et al. KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis. Nucleic Acids Res. 2021;49(W1):W317–25.
Article CAS PubMed PubMed Central Google Scholar
Pan X, Jin X, Wang J, Hu Q, Dai B. Placenta inflammation is closely associated with gestational diabetes mellitus. Am J Transl Res. 2021;13(5):4068–79.
CAS PubMed PubMed Central Google Scholar
Goeman JJ. L1 penalized estimation in the Cox proportional hazards model. Biom J. 2010;52(1):70–84.
Wang Q, Liu X. Screening of feature genes in distinguishing different types of breast cancer using support vector machine. Onco Targets Ther. 2015;8:2311–7.
CAS PubMed PubMed Central Google Scholar
Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez J-C, et al. pROC: an open-source package for R and S + to analyze and compare ROC curves. BMC Bioinformatics. 2011;12(1):1–8.
Shan S, Chen W, Jia J. Transcriptome analysis revealed a highly connected gene module associated with cirrhosis to hepatocellular carcinoma development. Front Genet. 2019;10:305.
Article CAS PubMed PubMed Central Google Scholar
Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996;15(4):361–87.
Mayr A, Schmid M. Boosting the concordance index for survival data–a unified framework to derive and evaluate biomarker combinations. PLoS ONE. 2014;9(1):e84483.
Article PubMed PubMed Central Google Scholar
Chen B, Khodadoust MS, Liu CL, Newman AM, Alizadeh AA. Profiling tumor infiltrating immune cells with CIBERSORT. Cancer Systems Biology: Methods and Protocols. 2018;243– 59.
Olivari S, Molinari M. Glycoprotein folding and the role of EDEM1, EDEM2 and EDEM3 in degradation of folding-defective glycoproteins. FEBS Lett. 2007;581(19):3658–64.
Article CAS PubMed Google Scholar
Olivari S, Cali T, Salo KE, Paganetti P, Ruddock LW, Molinari M. EDEM1 regulates ER-associated degradation by accelerating de-mannosylation of folding-defective polypeptides and by inhibiting their covalent aggregation. Biochem Biophys Res Commun. 2006;349(4):1278–84.
Article CAS PubMed Google Scholar
Ninagawa S, Okada T, Sumitomo Y, Kamiya Y, Kato K, Horimoto S, et al. EDEM2 initiates mammalian glycoprotein ERAD by catalyzing the first mannose trimming step. J Cell Biol. 2014;206(3):347–56.
Article CAS PubMed PubMed Central Google Scholar
Hirao K, Natsuka Y, Tamura T, Wada I, Morito D, Natsuka S, et al. EDEM3, a soluble EDEM homolog, enhances glycoprotein endoplasmic reticulum-associated degradation and mannose trimming. J Biol Chem. 2006;281(14):9650–8.
Article CAS PubMed Google Scholar
Polla DL, Edmondson AC, Duvet S, March ME, Sousa AB, Lehman A, et al. Bi-allelic variants in the ER quality-control mannosidase gene EDEM3 cause a congenital disorder of glycosylation. Am J Hum Genet. 2021;108(7):1342–9.
Comments (0)