Skip to main content

Advertisement

Log in

Contribution of Insulin Resistance and β Cell Dysfunction to Gestational Diabetes Stratified for Pre-pregnant Body Mass Index

  • Reproductive Endocrinology: Original Article
  • Published:
Reproductive Sciences Aims and scope Submit manuscript

Abstract

The objective of the study was to evaluate the contribution of insulin resistance and β cell dysfunction to gestational diabetes mellitus (GDM) in Chinese women stratified by pre-pregnant body mass index (BMI). A total of 847 pregnant women were enrolled. They were divided into low BMI and high BMI groups according to the median of pre-pregnancy BMI. The homeostasis model assessment of insulin resistance (HOMA-IR) and β cell function (HOMA-β), Matsuda index, and 60-min insulinogenic index (IGI60) were used to evaluate insulin resistance and β cell function. In all the participants, 150 (17.71%) were diagnosed with GDM. ROC analyses showed that in the low BMI group, the association of β cell dysfunction (IGI60 or HOMA-β) with GDM was stronger than that of insulin resistance (Matsuda index or HOMA-IR), while in the high BMI group, the association of β cell dysfunction with GDM was weaker than that of insulin resistance (all P < 0.05). Among all GDM patients, 47.33% demonstrated predominant insulin resistance (Matsuda index < 25th percentile), and 46% had predominant β cell defect (IGI60 < 25th percentile). In the low BMI group, 15.09% of GDM patients demonstrated predominant insulin resistance, and 62.26% of GDM patients had predominant β cell defect, whereas in the high BMI group, 64.95% of GDM patients demonstrated mainly insulin resistance and 36.08% of GDM patients had mainly β cell defect. In women with low BMI, β cell dysfunction is the major etiologic factor, whereas, in women with high BMI, insulin resistance is the predominant etiologic factor in the development of GDM.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

We’re sorry, something doesn't seem to be working properly.

Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Data Availability

The original contributions presented in the study are included in the article. Further inquiries can be directed to the corresponding authors.

Code Availability

Not applicable.

References

  1. Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR, et al. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. 2008;358(19):1991–2002.

    Article  PubMed  Google Scholar 

  2. Hunsberger M, Rosenberg KD, Donatelle RJ. Racial/ethnic disparities in gestational diabetes mellitus: findings from a population-based survey. Womens Health Issues. 2010;20(5):323–8.

    Article  PubMed  Google Scholar 

  3. Pedula KL, Hillier TA, Schmidt MM, Mullen JA, Charles MA, Pettitt DJ. Ethnic differences in gestational oral glucose screening in a large US population. Ethn Dis. 2009;19(4):414–9.

    PubMed  Google Scholar 

  4. Wan CS, Abell S, Aroni R, Nankervis A, Boyle J, Teede H. Ethnic differences in prevalence, risk factors, and perinatal outcomes of gestational diabetes mellitus: a comparison between immigrant ethnic Chinese women and Australian-born Caucasian women in Australia. J Diabetes. 2019;11(10):809–17.

    Article  PubMed  Google Scholar 

  5. Torrens JI, Skurnick J, Davidow AL, Korenman SG, Santoro N, Soto-Greene M, et al. Ethnic differences in insulin sensitivity and beta-cell function in premenopausal or early perimenopausal women without diabetes: the Study of Women’s Health Across the Nation (SWAN). Diabetes Care. 2004;27(2):354–61.

    Article  PubMed  Google Scholar 

  6. Ma RC, Chan JC. Type 2 diabetes in East Asians: similarities and differences with populations in Europe and the United States. Ann N Y Acad Sci. 2013;1281:64–91.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Wang N, Song L, Sun B, Peng Y, Fei S, Cui J, et al. Contribution of gestational diabetes mellitus heterogeneity and prepregnancy body mass index to large-for-gestational-age infants-a retrospective case-control study. J Diabetes. 2021;13(4):307–17.

    Article  CAS  PubMed  Google Scholar 

  8. Powe CE, Allard C, Battista MC, Doyon M, Bouchard L, Ecker JL, et al. Heterogeneous contribution of insulin sensitivity and secretion defects to gestational diabetes mellitus. Diabetes Care. 2016;39(6):1052–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Powe CE, Hivert MF, Udler MS. Defining heterogeneity among women with gestational diabetes mellitus. Diabetes. 2020;69(10):2064–74.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Wei YM, Liu XY, Shou C, Liu XH, Meng WY, Wang ZL, et al. Value of fasting plasma glucose to screen gestational diabetes mellitus before the 24th gestational week in women with different pre-pregnancy body mass index. Chin Med J (Engl). 2019;132(8):883–8.

    Article  CAS  PubMed  Google Scholar 

  11. Metzger BE, Gabbe SG, Persson B, Buchanan TA, Catalano PA, Damm P, et al. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010;33(3):676–82.

    Article  PubMed  Google Scholar 

  12. Matsuda M, Defronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 1999;22(9):1462–70.

    Article  CAS  PubMed  Google Scholar 

  13. Katsuki A, Sumida Y, Gabazza EC, Murashima S, Furuta M, Araki-Sasaki R, et al. Homeostasis model assessment is a reliable indicator of insulin resistance during follow-up of patients with type 2 diabetes. Diabetes Care. 2001;24(2):362–5.

    Article  CAS  PubMed  Google Scholar 

  14. Marini MA, Succurro E, Frontoni S, Mastroianni S, Arturi F, Sciacqua A, et al. Insulin sensitivity, beta-cell function, and incretin effect in individuals with elevated 1-hour postload plasma glucose levels. Diabetes Care. 2012;35(4):868–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Shan X, Zhao X, Li S, Song P, Man Q, Liu Z, et al. Association of serum 25(OH)D with metabolic syndrome in Chinese women of childbearing age. Nutrients. 2022;14(11):2301–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Gao Y, Huang Y, Song F, Dai H, Wang P, Li H, et al. Urban-rural disparity of overweight/obesity distribution and its potential trend with breast cancer among Chinese women. Oncotarget. 2016;7(35):56608–18.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Gao C, Sun X, Lu L, Liu F, Yuan J. Prevalence of gestational diabetes mellitus in mainland China: a systematic review and meta-analysis. J Diabetes Investig. 2019;10(1):154–62.

    Article  CAS  PubMed  Google Scholar 

  18. Wang C, Jin L, Tong M, Zhang J, Yu J, Meng W, et al. Prevalence of gestational diabetes mellitus and its determinants among pregnant women in Beijing. J Matern Fetal Neonatal Med. 2022;35(7):1337–43.

    Article  CAS  PubMed  Google Scholar 

  19. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9.

    Article  CAS  PubMed  Google Scholar 

  20. Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care. 2004;27(6):1487–95.

    Article  PubMed  Google Scholar 

  21. Ke C, Narayan K, Chan J, Jha P, Shah BR. Pathophysiology, phenotypes and management of type 2 diabetes mellitus in Indian and Chinese populations. Nat Rev Endocrinol. 2022;18(7):413–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Qian L, Xu L, Wang X, Fu X, Gu Y, Lin F, et al. Early insulin secretion failure leads to diabetes in Chinese subjects with impaired glucose regulation. Diabetes Metab Res Rev. 2009;25(2):144–9.

    Article  CAS  PubMed  Google Scholar 

  23. Yoshinari M, Hirakawa Y, Hata J, Higashioka M, Honda T, Yoshida D, et al. Comparison of the contributions of impaired beta cell function and insulin resistance to the development of type 2 diabetes in a Japanese community: the Hisayama Study. Diabetologia. 2021;64(8):1775–84.

    Article  CAS  PubMed  Google Scholar 

  24. Wang T, Lu J, Shi L, Chen G, Xu M, Xu Y, et al. Association of insulin resistance and beta-cell dysfunction with incident diabetes among adults in China: a nationwide, population-based, prospective cohort study. Lancet Diabetes Endocrinol. 2020;8(2):115–24.

    Article  CAS  PubMed  Google Scholar 

  25. Kim CH, Kim HK, Kim EH, Bae SJ, Park JY. Relative contributions of insulin resistance and beta-cell dysfunction to the development of type 2 diabetes in Koreans. Diabet Med. 2013;30(9):1075–9.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We appreciate the support of Wei Wang at Beijing Chao-yang Hospital, Capital Medical University, for his contribution to data collection and language polishing.

Funding

Zhe Chen was supported by grants from Beijing Key Laboratory of Metabolic Disorder Related Cardiovascular Disease (No. Dxwl2021-01) and Capital General Practice Research Project (22QK08); Qingrong Pan was supported by grants from The Capital Health Research and Development of General Practice; Junli Lu was supported by a grant from National Key Research and Development Program of China (Project No: 2021YFC2700705). The funder had no role in the study design, data collection, analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

QP and ZC conceived and designed the study; QP, YY, ZT, HC, ZL, ML, FG, QL, LG, HL, YL, YZ, and ZC performed the study; YY, HC, ZX, and YZ collected and analyzed the data; QP, YY, and HC wrote the paper; ZC and JL read through and corrected the article. All the authors contributed to the article and approved the submitted version.

Corresponding authors

Correspondence to Junli Lu or Zhe Chen.

Ethics declarations

Ethics Approval and Consent to Participate

This study was approved by the Ethics Committee of Beijing Chao-yang Hospital, Capital Medical University. The IRB approval number was 2020-ke-480. Written informed consent was provided by all participants.

Consent for Publication

All the authors contributed to the article and agreed to publish the obtained data and analysis results of the study.

Conflict of Interest

The authors declare no competing interests.

Additional information

Publisher's Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pan, Q., Yang, Y., Cao, H. et al. Contribution of Insulin Resistance and β Cell Dysfunction to Gestational Diabetes Stratified for Pre-pregnant Body Mass Index. Reprod. Sci. 31, 1151–1158 (2024). https://doi.org/10.1007/s43032-023-01379-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s43032-023-01379-6

Keywords

Navigation