Levels of circulating insulin cell-free DNA in women with polycystic ovary syndrome - a longitudinal cohort study

Pernille Bækgaard Udesen, Anja Elaine Sørensen, Mugdha V Joglekar, Anandwardhan A Hardikar, Marie Louise Muff Wissing, Anne-Lis Mikkelsen Englund, Louise Torp Dalgaard, Pernille Bækgaard Udesen, Anja Elaine Sørensen, Mugdha V Joglekar, Anandwardhan A Hardikar, Marie Louise Muff Wissing, Anne-Lis Mikkelsen Englund, Louise Torp Dalgaard

Abstract

Background: Women with Polycystic Ovary Syndrome (PCOS) present a heterogeneous reproductive and metabolic profile with an increased lifetime risk of Type 2 Diabetes (T2D). Early biomarkers of these metabolic disturbances in PCOS women have not been identified. The abundance of circulating insulin gene promotor cell-free DNA (INS cfDNA) was shown to be valuable as a predictive biomarker of β-cell death in individuals with Type 1 diabetes (T1D) as well as with gestational diabetes. Since β-cell death is common to the development of T1D as well as in T2D, we aimed to investigate if insulin-coding DNA is more abundant in circulation of PCOS women (vs Controls) and if their levels change after 6 yr. follow-up as a potential measure to predict future T2D.

Methods: A cohort of 40 women diagnosed with PCOS according to Rotterdam 2003 criteria and eight healthy controls were examined at baseline and 6 years follow-up. Clinical measurements for evaluation of glucose homeostasis as well as blood/serum samples were obtained at each visit. Methylated and unmethylated INS cfDNA were quantified using droplet digital PCR. Differences between groups were assessed using Kruskall-Wallis test and Wilcoxon Signed rank test.

Results: At baseline, there was no detectable difference in copy number (copies/μL) of methylated (p = 0.74) or unmethylated INS cfDNA (p = 0.34) between PCOS and Control groups. At follow up, neither methylated (p = 0.50) nor unmethylated INScfDNA levels (p = 0.48) differed significantly between these groups. Likewise, when pooling the groups, there was no difference between baseline and follow up, in terms of copies of methylated or unmethylated INS cfDNA (p = 0.38 and p = 0.52, respectively). There were no significant correlations between counts of unmethylated or methylated cfDNA and the clinical measurements of β-cell function and pre-diabetes.

Conclusion: The circulating level of unmethylated and methylated INScfDNA is similar between PCOS and Controls and cannot be used to predict islet β-cell loss and progression to Type 2 diabetes in a 6-year follow-up.

Trial registration: The Danish Data Protection Agency (REG-31-2016. Approval: 01-12-2015) and by the Danish Scientific Ethical committee of Region Zealand (Journal no. SJ-525. Approval: 13-06-2016), Clinicaltrials.gov, ( NCT03142633 , registered 1. March, 2017, Retrospectively registered).

Keywords: Androgens; Circulating free DNA; Demethylation; Glucose tolerance; Insulin promoter CpG methylation; PCOS; Testosterone.

Conflict of interest statement

Ethics approval and consent to participate

The study was designed and performed according to the Declaration of Helsinki II and approved by the Danish Data Protection Agency (REG-31-2016) and by the Danish Scientific Ethical committee of region Zealand (Journal no. SJ-525). All subjects gave written consent prior to inclusion.

Consent for publication

Not applicable.

Competing interests

Not applicable.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Panel a: Methylated INScfDNA. Panel b: Unmethylated INScfDNA. Panel c: Baseline vs. Follow-up. Number of copies/mL of respectively unmethylated (a) and methylated (b) INScfDNA. PCOS and control group compared at baseline (BL) and follow-up (FU). BL and FU for all samples expressed by copies/uL, are compared in panel c. Results are expressed as medians (95%CI). NS: Not significant
Fig. 2
Fig. 2
Panel a: Total INScfDNA. Panel b: Total INScfDNA. Total amount of INScfDNA (umethylated + methylated copies/uL). PCOS and controls are compared in panel a and BL vs FU in panel b. Results are expressed as medians (95%CI). NS: Not significant
Fig. 3
Fig. 3
Ratio Unmethylated/methylated INS cfDNA. Ratio between unmethylated and methylated INS cfDNA (copies/μL/copies/μL). Results are expressed as medians (95%CI)

References

    1. Teede Helena J., Misso Marie L., Costello Michael F., Dokras Anuja, Laven Joop, Moran Lisa, Piltonen Terhi, Norman Robert J. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Clinical Endocrinology. 2018;89(3):251–268. doi: 10.1111/cen.13795.
    1. Legro Richard S., Gnatuk Carol L., Kunselman Allen R., Dunaif Andrea. Changes in Glucose Tolerance over Time in Women with Polycystic Ovary Syndrome: A Controlled Study. The Journal of Clinical Endocrinology & Metabolism. 2005;90(6):3236–3242. doi: 10.1210/jc.2004-1843.
    1. Rubin Katrine Hass, Glintborg Dorte, Nybo Mads, Abrahamsen Bo, Andersen Marianne. Development and Risk Factors of Type 2 Diabetes in a Nationwide Population of Women With Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 2017;102(10):3848–3857. doi: 10.1210/jc.2017-01354.
    1. Bil E, Dilbaz B, Cirik DA, Ozelci R, Dilbaz S, Ozkaya E. Metabolic syndrome and metabolic risk profile according to polycystic ovary syndrome phenotype. J Obstet Gynaecol Res. 2016;42(7):837–843. doi: 10.1111/jog.12985.
    1. Moghetti Paolo, Tosi Flavia, Bonin Cecilia, Di Sarra Daniela, Fiers Tom, Kaufman Jean-Marc, Giagulli Vito Angelo, Signori Chiara, Zambotti Francesca, Dall'Alda Marlene, Spiazzi Giovanna, Zanolin Maria Elisabetta, Bonora Enzo. Divergences in Insulin Resistance Between the Different Phenotypes of the Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 2013;98(4):E628–E637. doi: 10.1210/jc.2012-3908.
    1. Defossez Pierre-Antoine, Stancheva Irina. Progress in Molecular Biology and Translational Science. 2011. Biological Functions of Methyl-CpG-Binding Proteins; pp. 377–398.
    1. Yang B. T., Dayeh T. A., Kirkpatrick C. L., Taneera J., Kumar R., Groop L., Wollheim C. B., Nitert M. D., Ling C. Insulin promoter DNA methylation correlates negatively with insulin gene expression and positively with HbA1c levels in human pancreatic islets. Diabetologia. 2010;54(2):360–367. doi: 10.1007/s00125-010-1967-6.
    1. Kuroda A, Rauch TA, Todorov I, Ku HT, Al-Abdullah IH, Kandeel F, et al. Insulin gene expression is regulated by DNA methylation. Maedler K, editor. PLoS One [Internet]. 2009 Sep 9 [cited 2018 Aug 31];4(9):e6953. Available from:
    1. Defossez P-A, Stancheva I. Progress in molecular biology and translational science [internet]. 1st ed. Elsevier Inc. 2011. Biological functions of methyl-CpG-binding proteins; pp. 377–398.
    1. Akirav E. M., Lebastchi J., Galvan E. M., Henegariu O., Akirav M., Ablamunits V., Lizardi P. M., Herold K. C. Detection of cell death in diabetes using differentially methylated circulating DNA. Proceedings of the National Academy of Sciences. 2011;108(47):19018–19023. doi: 10.1073/pnas.1111008108.
    1. Moreira V. G., Prieto B., Rodriguez J. S. M., Alvarez F. V. Usefulness of cell-free plasma DNA, procalcitonin and C-reactive protein as markers of infection in febrile patients. Annals of Clinical Biochemistry. 2010;47(3):253–258. doi: 10.1258/acb.2010.009173.
    1. Neiman Daniel, Moss Joshua, Hecht Merav, Magenheim Judith, Piyanzin Sheina, Shapiro A. M. James, de Koning Eelco J. P., Razin Aharon, Cedar Howard, Shemer Ruth, Dor Yuval. Islet cells share promoter hypomethylation independently of expression, but exhibit cell-type–specific methylation in enhancers. Proceedings of the National Academy of Sciences. 2017;114(51):13525–13530. doi: 10.1073/pnas.1713736114.
    1. Fisher MM, Perez Chumbiauca CN, Mather KJ, Mirmira RG, Tersey SA. Detection of islet β-cell death in vivo by multiplex PCR analysis of differentially methylated DNA. Endocrinology [Internet]. 2013;154(9):3476–3481. doi: 10.1210/en.2013-1223.
    1. Polonsky KS, Sturis J, Bell GI. Non-Insulin-Dependent Diabetes Mellitus — A Genetically Programmed Failure of the Beta Cell to Compensate for Insulin Resistance. Flier JS, Underhill LH, editors. N Engl J Med [Internet]. 1996 21 [cited 2018 Aug 31];334(12):777–783. Available from:
    1. Ferrannini E., Gastaldelli A., Miyazaki Y., Matsuda M., Pettiti M., Natali A., Mari A., DeFronzo R. A. Predominant role of reduced beta-cell sensitivity to glucose over insulin resistance in impaired glucose tolerance. Diabetologia. 2003;46(9):1211–1219. doi: 10.1007/s00125-003-1169-6.
    1. Rhodes CJ. Type 2 diabetes-a matter of -cell life and death? Science (80- ) [Internet]. 2005 Jan 21 [cited 2018 Dec 3];307(5708):380–384. Available from:
    1. Davegårdh C, García-Calzón S, Bacos K, Ling C. DNA methylation in the pathogenesis of type 2 diabetes in humans. Mol Metab [Internet] 2018;14(February):12–25. doi: 10.1016/j.molmet.2018.01.022.
    1. Husseiny MI, Kuroda A, Kaye AN, Nair I, Kandeel F, Ferreri K. Development of a quantitative methylation-specific polymerase chain reaction method for monitoring Beta cell death in type 1 diabetes. von Herrath MG, editor. PLoS One [Internet] 2012 29;7(10):e47942. Available from:
    1. Ishikawa Kota, Tsunekawa Shin, Ikeniwa Makoto, Izumoto Takako, Iida Atsushi, Ogata Hidetada, Uenishi Eita, Seino Yusuke, Ozaki Nobuaki, Sugimura Yoshihisa, Hamada Yoji, Kuroda Akio, Shinjo Keiko, Kondo Yutaka, Oiso Yutaka. Long-Term Pancreatic Beta Cell Exposure to High Levels of Glucose but Not Palmitate Induces DNA Methylation within the Insulin Gene Promoter and Represses Transcriptional Activity. PLOS ONE. 2015;10(2):e0115350. doi: 10.1371/journal.pone.0115350.
    1. Herold KC, Usmani-brown S, Ghazi T, Lebastchi J, C a B, Bellin MD, et al. β cell death and dysfunction during type 1 diabetes development in at-risk individuals. J Clin Invest. 2015;125(3):1–11. doi: 10.1172/JCI78142.
    1. Ehrmann D A, Sturis J, Byrne M M, Karrison T, Rosenfield R L, Polonsky K S. Insulin secretory defects in polycystic ovary syndrome. Relationship to insulin sensitivity and family history of non-insulin-dependent diabetes mellitus. Journal of Clinical Investigation. 1995;96(1):520–527. doi: 10.1172/JCI118064.
    1. Azziz R, Tarlatzis R, Dunaif A, Ibanez L, Pugeat M, Taylor A, et al. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril [Internet]. 2004 Jan [cited 2018 Aug 31];81(1):19–25. Available from:
    1. Aziz M, Naver KV, Wissing MLM, Mikkelsen a L, Nilas L, Skouby SO. Polycystic ovary syndrome: infertility, cardiovascular, metabolic and obstetrical risks, laboratory and clinical outcomes—the PICOLO study. Gynecol Endocrinol. 2012;28(4):253–258. doi: 10.3109/09513590.2011.613966.
    1. Fox Caroline S., Golden Sherita Hill, Anderson Cheryl, Bray George A., Burke Lora E., de Boer Ian H., Deedwania Prakash, Eckel Robert H., Ershow Abby G., Fradkin Judith, Inzucchi Silvio E., Kosiborod Mikhail, Nelson Robert G., Patel Mahesh J., Pignone Michael, Quinn Laurie, Schauer Philip R., Selvin Elizabeth, Vafiadis Dorothea K. Update on Prevention of Cardiovascular Disease in Adults With Type 2 Diabetes Mellitus in Light of Recent Evidence: A Scientific Statement From the American Heart Association and the American Diabetes Association. Diabetes Care. 2015;38(9):1777–1803. doi: 10.2337/dci15-0012.
    1. Gerich JE. Is reduced first-phase insulin release the earliest detectable abnormality in individuals destined to develop type 2 diabetes? Diabetes [Internet]. 2002 Feb [cited 2019 Mar 18];51 Suppl 1:S117–S121. Available from:
    1. Husseiny Mohamed I., Kaye Alexander, Zebadua Emily, Kandeel Fouad, Ferreri Kevin. Tissue-Specific Methylation of Human Insulin Gene and PCR Assay for Monitoring Beta Cell Death. PLoS ONE. 2014;9(4):e94591. doi: 10.1371/journal.pone.0094591.
    1. Lebastchi J., Deng S., Lebastchi A. H., Beshar I., Gitelman S., Willi S., Gottlieb P., Akirav E. M., Bluestone J. A., Herold K. C. Immune Therapy and -Cell Death in Type 1 Diabetes. Diabetes. 2013;62(5):1676–1680. doi: 10.2337/db12-1207.
    1. Usmani-Brown S, Lebastchi J, Steck AK, Beam C, Herold KC, Ledizet M. Analysis of β-cell death in type 1 diabetes by droplet digital PCR. Endocrinology [Internet] 2014;155(9):3694–3698. doi: 10.1210/en.2014-1150.
    1. Lehmann-Werman Roni, Neiman Daniel, Zemmour Hai, Moss Joshua, Magenheim Judith, Vaknin-Dembinsky Adi, Rubertsson Sten, Nellgård Bengt, Blennow Kaj, Zetterberg Henrik, Spalding Kirsty, Haller Michael J., Wasserfall Clive H., Schatz Desmond A., Greenbaum Carla J., Dorrell Craig, Grompe Markus, Zick Aviad, Hubert Ayala, Maoz Myriam, Fendrich Volker, Bartsch Detlef K., Golan Talia, Ben Sasson Shmuel A., Zamir Gideon, Razin Aharon, Cedar Howard, Shapiro A. M. James, Glaser Benjamin, Shemer Ruth, Dor Yuval. Identification of tissue-specific cell death using methylation patterns of circulating DNA. Proceedings of the National Academy of Sciences. 2016;113(13):E1826–E1834. doi: 10.1073/pnas.1519286113.
    1. Ling C, Groop L. Epigenetics: a molecular link between environmental factors and type 2 diabetes. Diabetes [Internet] 2009;58(12):2718–2725. doi: 10.2337/db09-1003.
    1. Kenna LA, Olsen JA, Spelios MG, Radin MS, Akirav EM. β-Cell death is decreased in women with gestational diabetes mellitus. Diabetol Metab Syndr [Internet]. 2016;8(1):60. Available from:
    1. Bozdag Gurkan, Mumusoglu Sezcan, Zengin Dila, Karabulut Erdem, Yildiz Bulent Okan. The prevalence and phenotypic features of polycystic ovary syndrome: a systematic review and meta-analysis. Human Reproduction. 2016;31(12):2841–2855. doi: 10.1093/humrep/dew218.
    1. Benham J. L., Yamamoto J. M., Friedenreich C. M., Rabi D. M., Sigal R. J. Role of exercise training in polycystic ovary syndrome: a systematic review and meta-analysis. Clinical Obesity. 2018;8(4):275–284. doi: 10.1111/cob.12258.
    1. Moran LJ, Hutchison SK, Norman RJ, Teede HJ. Lifestyle changes in women with Polycystic Ovary Syndrome. In: Moran LJ, editor. Cochrane Database of Systematic Reviews [Internet]. Chichester, UK: John Wiley & Sons, Ltd; 2008 [cited 2018 Sep 26]. p. CD007506. Available from:
    1. Glintborg D, Andersen M. MANAGEMENT OF ENDOCRINE DISEASE: Morbidity in polycystic ovary syndrome. Eur J Endocrinol [Internet]. 2017 Feb;176(2):R53–R65. Available from:
    1. Rocha A. L. L., Faria L. C., Guimarães T. C. M., Moreira G. V., Cândido A. L., Couto C. A., Reis F. M. Non-alcoholic fatty liver disease in women with polycystic ovary syndrome: systematic review and meta-analysis. Journal of Endocrinological Investigation. 2017;40(12):1279–1288. doi: 10.1007/s40618-017-0708-9.
    1. Legro RS, Kunselman AR, Dodson WC, Dunaif A. Prevalence and predictors of risk for type 2 diabetes mellitus and impaired glucose tolerance in polycystic ovary syndrome: a prospective, controlled study in 254 affected women. J Clin Endocrinol Metab [Internet] 1999;84(1):165–169.
    1. Zangeneh Farideh Zafari, Naghizadeh Mohammad Mehdi, Masoumi Masoumeh. Polycystic ovary syndrome and circulating inflammatory markers. International Journal of Reproductive BioMedicine. 2017;15(6):375–382. doi: 10.29252/ijrm.15.6.375.
    1. Duleba AJ, Dokras A. Is PCOS an inflammatory process? Fertil Steril [Internet]. 2012 Jan [cited 2018 Dec 21];97(1):7–12. Available from:

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