Skip to main content
Log in

Association of altered serum acylcarnitine levels in early pregnancy and risk of gestational diabetes mellitus

  • Articles
  • Published:
Science China Chemistry Aims and scope Submit manuscript

Abstract

Gestational diabetes mellitus (GDM) is a high-prevalence disease and diagnosed in middle pregnancy. Acylcarnitines are a series of fatty acid esters of carnitine and play important roles in fatty acid and carbohydrate metabolism. However, the role of acylcarnitine on the development of GDM remains unclear. This case-control study involving 214 study participants (107 GDM cases and 107 matched controls) was conducted in a cohort, in China, from 2013 to 2015. The levels of carnitine and 36 acylcarnitines in serum samples collected at the early stage of pregnancy were determined by using ultra-high performance liquid chromatography coupled with tandem mass spectrometry. The associations of the levels of the 37 targeted compounds with GDM risk were investigated by using binary conditional logistic regression models. Alterations in acylcarnitine levels were observed 9–17 weeks before GDM diagnosis. The increases in levels of propionyl-carnitine, malonyl-carnitine, isovaleryl-carnitine, palmitoyl-carnitine and linoleoyl-carnitine were associated with GDM risk with odds ratios (ORs) per standard deviation (SD) increment greater than 1 (p<0.05), after adjustment for potential confounding factors (pre-pregnancy body mass index and parity). On the contrary, the increases of decanoyl-carnitine, decenoyl-carnitine, tetradecenoyl-carnitine, tetradecandienoyl-carnitine levels were associated with the reduced risk for GDM (ORs per SD <1, p<0.05). To our knowledge, the present study is the largest case-control study to investigate the association between early-pregnancy acylcarnitine levels in serum and GDM risk. The findings add to the evidence for the association between acylcarnitine levels and GDM risk.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. American Diabetes Association. Diabetes Care, 2019, 42: S13–S28

    Article  Google Scholar 

  2. Sacks DA, Hadden DR, Maresh M, Deerochanawong C, Dyer AR, Metzger BE, Lowe LP, Coustan DR, Hod M, Oats JJN, Persson B, Trimble ER. Diabetes Care, 2012, 35: 526–528

    Article  Google Scholar 

  3. Song C, Lyu Y, Li C, Liu P, Li J, Ma RC, Yang X. Obesity Rev, 2018, 19: 421–429

    Article  CAS  Google Scholar 

  4. Tobias DK, Stuart JJ, Li S, Chavarro J, Rimm EB, Rich-Edwards J, Hu FB, Manson JAE, Zhang C. JAMA Intern Med, 2017, 177: 1735–1742

    Article  Google Scholar 

  5. Tam WH, Ma RCW, Ozaki R, Li AM, Chan MHM, Yuen LY, Lao TTH, Yang X, Ho CS, Tutino GE, Chan JCN. Diabetes Care, 2017, 40: 679–686

    Article  CAS  Google Scholar 

  6. Landon MB, Rice MM, Varner MW, Casey BM, Reddy UM, Wapner RJ, Rouse DJ, Biggio Jr. JR, Thorp JM, Chien EK, Saade G, Peaceman AM, Blackwell SC, VanDorsten JP. Diabetes Care, 2015, 38: 445–452

    Article  Google Scholar 

  7. Indiveri C, Iacobazzi V, Tonazzi A, Giangregorio N, Infantino V, Convertini P, Console L, Palmieri F. Mol Aspects Med, 2011, 32: 223–233

    Article  CAS  Google Scholar 

  8. McCoin CS, Knotts TA, Adams SH. Nat Rev Endocrinol, 2015, 11: 617–625

    Article  Google Scholar 

  9. Aichler M, Borgmann D, Krumsiek J, Buck A, MacDonald PE, Fox JEM, Lyon J, Light PE, Keipert S, Jastroch M, Feuchtinger A, Mueller NS, Sun N, Palmer A, Alexandrov T, Hrabe de Angelis M, Neschen S, Tschöp MH, Walch A. Cell Metab, 2017, 25: 1334–1347.e4

    Article  CAS  Google Scholar 

  10. McCabe CF, Perng W. Curr Diab Rep, 2017, 17: 57

    Article  Google Scholar 

  11. Sun L, Liang L, Gao X, Zhang H, Yao P, Hu Y, Ma Y, Wang F, Jin Q, Li H, Li R, Liu Y, Hu FB, Zeng R, Lin X, Wu J. Diabetes Care, 2016, 39: 1563–1570

    Article  Google Scholar 

  12. Powe CE, Tobias DK, Michels KB, Chen WY, Eliassen AH, Manson JAE, Rosner B, Willett WC, Hu FB, Zhang C, Rich-Edwards JW, Rexrode KM. Cancer Epidemiol Biomark Prev, 2017, 26: 321–327

    Article  Google Scholar 

  13. Zhao H, Li H, Chung ACK, Xiang L, Li X, Zheng Y, Luan H, Zhu L, Liu W, Peng Y, Zhao Y, Xu S, Li Y, Cai Z. J Proteome Res, 2019, 18: 292–300

    Article  CAS  Google Scholar 

  14. Batchuluun B, Al Rijjal D, Prentice KJ, Eversley JA, Burdett E, Mohan H, Bhattacharjee A, Gunderson EP, Liu Y, Wheeler MB. Diabetes, 2018, 67: 885–897

    Article  CAS  Google Scholar 

  15. Nevalainen J, Sairanen M, Appelblom H, Gissler M, Timonen S, Ryynänen M. Rev Diabet Stud, 2016, 13: 236–245

    Article  Google Scholar 

  16. American Diabetes Association. Diabetes Care, 2011, 34(Suppl 1): S62–S69

    Article  Google Scholar 

  17. Xiang L, Wei J, Tian XY, Wang B, Chan W, Li S, Tang Z, Zhang H, Cheang WS, Zhao Q, Zhao H, Yang Z, Hong Y, Huang Y, Cai Z. Anal Chem, 2017, 89: 10368–10375

    Article  CAS  Google Scholar 

  18. Benjamini Y, Hochberg Y. J Roy Stat Soc B, 1995, 57: 289–300

    Google Scholar 

  19. Thompson DK, Sloane R, Bain JR, Stevens RD, Newgard CB, Pieper CF, Kraus VB. Metabolomics, 2012, 8: 556–565

    Article  CAS  Google Scholar 

  20. Roy C, Tremblay PY, Anassour-Laouan-Sidi E, Lucas M, Forest JC, Giguère Y, Ayotte P. Diabetes Res Clin Pract, 2018, 140: 183–190

    Article  CAS  Google Scholar 

  21. Tobias DK, Clish C, Mora S, Li J, Liang L, Hu FB, Manson JAE, Zhang C. Clin Chem, 2018, 64: 1203–1210

    Article  CAS  Google Scholar 

  22. Zhang S, Zeng X, Ren M, Mao X, Qiao S. J Anim Sci Biotechnol, 2017, 8: 10

    Article  Google Scholar 

  23. Rousseau M, Guénard F, Garneau V, Allam-Ndoul B, Lemieux S, Pérusse L, Vohl MC. Nutrients, 2019, 11: 173

    Article  CAS  Google Scholar 

  24. Lynch CJ, Adams SH. Nat Rev Endocrinol, 2014, 10: 723–736

    Article  CAS  Google Scholar 

  25. Newgard CB, An J, Bain JR, Muehlbauer MJ, Stevens RD, Lien LF, Haqq AM, Shah SH, Arlotto M, Slentz CA, Rochon J, Gallup D, Ilkayeva O, Wenner BR, Yancy Jr. WS, Eisenson H, Musante G, Surwit RS, Millington DS, Butler MD, Svetkey LP. Cell Metab, 2009, 9: 311–326

    Article  CAS  Google Scholar 

  26. Gucciardi A, Pirillo P, Di Gangi IM, Naturale M, Giordano G. Anal Bioanal Chem, 2012, 404: 741–751

    Article  CAS  Google Scholar 

  27. Qiu C, Enquobahrie DA, Frederick IO, Sorensen TK, Fernandez MAL, David RM, Bralley JA, Williams MA. Diabetes Res Clin Pract, 2014, 104: 393–400

    Article  CAS  Google Scholar 

  28. Wolfgang MJ, Lane MD. FEBS J, 2011, 278: 552–558

    Article  CAS  Google Scholar 

  29. Mai M, Tönjes A, Kovacs P, Stumvoll M, Fiedler GM, Leichtle AB, He B. PLoS ONE, 2013, 8: e82459

    Article  Google Scholar 

  30. O’Sullivan AJ. Obes Rev, 2009, 10: 168–177

    Article  Google Scholar 

  31. Lopaschuk GD. Ann Nutr Metab, 2016, 68: 15–20

    Article  Google Scholar 

  32. Bouchouirab FZ, Fortin M, Noll C, Dubé J, Carpentier AC. Can J Diabetes, 2018, 42: 382–388

    Article  Google Scholar 

  33. Zhang D, Christianson J, Liu ZX, Tian L, Choi CS, Neschen S, Dong J, Wood PA, Shulman GI. Cell Metab, 2010, 11: 402–411

    Article  CAS  Google Scholar 

  34. Koves TR, Ussher JR, Noland RC, Slentz D, Mosedale M, Ilkayeva O, Bain J, Stevens R, Dyck JRB, Newgard CB, Lopaschuk GD, Muoio DM. Cell Metab, 2008, 7: 45–56

    Article  CAS  Google Scholar 

  35. Gelaye B, Clish CB, Denis M, Larrabure G, Tadesse MG, Deik A, Pierce K, Bullock K, Dennis C, Enquobahrie DA, Williams MA. Diabetes Metab, 2019, 45: 39–46

    Article  CAS  Google Scholar 

  36. Mihalik SJ, Michaliszyn SF, de las Heras J, Bacha F, Lee SJ, Chace DH, DeJesus VR, Vockley J, Arslanian SA. Diabetes Care, 2012, 35: 605–611

    Article  CAS  Google Scholar 

  37. Gall WE, Beebe K, Lawton KA, Adam KP, Mitchell MW, Nakhle PJ, Ryals JA, Milburn MV, Nannipieri M, Camastra S, Natali A, Ferrannini E, Federici M. PLoS ONE, 2010, 5: e10883

    Article  Google Scholar 

  38. Nowak C, Hetty S, Salihovic S, Castillejo-Lopez C, Ganna A, Cook NL, Broeckling CD, Prenni JE, Shen X, Giedraitis V, Ärnlöv J, Lind L, Berne C, Sundström J, Fall T, Ingelsson E. Sci Rep, 2018, 8: 8691

    Article  Google Scholar 

  39. Foghsgaard S, Andreasen C, Vedtofte L, Andersen ES, Bahne E, Strandberg C, Buhl T, Holst JJ, Svare JA, Clausen TD, Mathiesen ER, Damm P, Gluud LL, Knop FK, Vilsbøll T. Diabetes Care, 2017, 40: 109–116

    Article  CAS  Google Scholar 

  40. Lekva T, Godang K, Michelsen AE, Qvigstad E, Normann KR, Norwitz ER, Aukrust P, Henriksen T, Bollerslev J, Roland MCP, Ueland T. Sci Rep, 2018, 8: 13392

    Article  Google Scholar 

Download references

Acknowledgements

We are grateful to all the participants in this study and Prof. Shau-Ku Huang at Shenzhen University for his valuable comments and suggestions. Dr. Simon Wang at the Language Centre of HKBU has improved the linguistic presentation of the manuscript. This work was supported by the National Natural Science Foundation of China (21437002) and the General Research Fund (12319716) from Research Grants Council of Hong Kong.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Wei Xia or Zongwei Cai.

Ethics declarations

Conflict of interest The authors declare that they have no conflict of interest.

Supplementary Material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, H., Li, H., Zheng, Y. et al. Association of altered serum acylcarnitine levels in early pregnancy and risk of gestational diabetes mellitus. Sci. China Chem. 63, 126–134 (2020). https://doi.org/10.1007/s11426-019-9580-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11426-019-9580-2

Keywords

Navigation