Volume 10, Issue 4 (11-2024)
Journal of Research in Applied and Basic Medical Sciences 2024, 10(4): 410-419 |
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Ethics code: IEC/RMC/2023/031
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Shaguftha Anjum M, Badam L K, Bhagya Lakshmi V, Anil Kumar T. Correlation Study to Associate Serum Glycaemic Status Markers with Uric Acid–HDL Cholesterol Ratio among Gestational Diabetes Mellitus and Normal Pregnancy. Journal of Research in Applied and Basic Medical Sciences 2024; 10 (4) :410-419
URL: http://ijrabms.umsu.ac.ir/article-1-351-en.html
URL: http://ijrabms.umsu.ac.ir/article-1-351-en.html
Mohammed Shaguftha Anjum 
, Lakshmi Keerthana Badam 
, Vanapalli Bhagya Lakshmi , Thammisetty Anil Kumar *
, Lakshmi Keerthana Badam , Vanapalli Bhagya Lakshmi , Thammisetty Anil Kumar *
Associate Professor, Dept. of Biochemistry, Andaman and Nicobar Islands Institute of Medical Sciences (ANIIMS), Sri Vijaya Puram, A&N Islands, India , anil.mbbs@yahoo.co.in
Abstract: (537 Views)
Background & Aims: Pregnancy is a diabetogenic state characterized by hyperinsulinemia and insulin resistance. The primary goal of identifying gestational diabetes mellitus (GDM) is to detect women at risk for adverse perinatal outcomes. Proper diagnosis of this condition and its complications is essential for the benefit of both maternal and child health. The uric acid/HDL-C ratio (UHR), which combines two metabolic parameters—serum uric acid and HDL-C— is a powerful predictor of metabolic deterioration. The present study aims to understand the role of metabolic derangement in the development of GDM in pregnant women and to compare these findings with those of healthy controls. The objectives of the study are to compare the serum UHR in the GDM and control populations and to correlate UHR in each group with glycemic status markers and BMI.
Materials & Methods: Based on inclusion and exclusion criteria, a total of 30 cases and 30 age-matched controls were selected for the study. The age range was 18 to 35 years. All serum parameters were analyzed using a Beckman Coulter AU-480 fully automated analyser. UHR was calculated from serum uric acid and HDL-C values using the formula: UHR = UA/HDL-C.
Results: The results show that patients with GDM had higher uric acid levels and UHR and lower HDL-C levels than healthy controls, suggesting significant metabolic derangement in this group.
Conclusion: Routine use of UHR as an early screening tool can help identify metabolic abnormalities in GDM. This will also aid in early pharmacological intervention, thereby preventing future complications for both the mother and foetus.
Materials & Methods: Based on inclusion and exclusion criteria, a total of 30 cases and 30 age-matched controls were selected for the study. The age range was 18 to 35 years. All serum parameters were analyzed using a Beckman Coulter AU-480 fully automated analyser. UHR was calculated from serum uric acid and HDL-C values using the formula: UHR = UA/HDL-C.
Results: The results show that patients with GDM had higher uric acid levels and UHR and lower HDL-C levels than healthy controls, suggesting significant metabolic derangement in this group.
Conclusion: Routine use of UHR as an early screening tool can help identify metabolic abnormalities in GDM. This will also aid in early pharmacological intervention, thereby preventing future complications for both the mother and foetus.
Type of Study: orginal article |
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References
1. Quintanilla Rodriguez BS, Mahdy H. Gestational Diabetes. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2023 Jan [URL]
2. Saeedi M, Cao Y, Fadl H, Gustafson H, Simmons D. Increasing prevalence of gestational diabetes mellitus when implementing the IADPSG criteria: A systematic review and meta-analysis. Diabetes Res Clin Pract 2021;172:108642 [DOI:10.1016/j.diabres.2020.108642] [PMID]
3. Mazumder T, Akter E, Rahman SM, Islam MT, Talukder MR. Prevalence and Risk Factors of Gestational Diabetes Mellitus in Bangladesh: Findings from Demographic Health Survey 2017-2018. Int J Environ Res Public Health 2022;19(5):2583 [DOI:10.3390/ijerph19052583] [PMID] [PMCID]
4. Dhutraj PG, Shinde KP, Singh K. A cross-sectional study to develop an early risk prediction tool for gestational diabetes mellitus for antenatal women diagnosed with this condition based on their characteristics and past obstetric history. J Family Med Prim Care 2022;11(10):6315 [DOI:10.4103/jfmpc.jfmpc_516_22] [PMID] [PMCID]
5. Choudhury AA, Rajeswari VD. Gestational diabetes mellitus-A metabolic and reproductive disorder. Biomed Pharmacother 2021;143:112183 [DOI:10.1016/j.biopha.2021.112183] [PMID]
6. Sweeting A. A Clinical Update on Gestational Diabetes Mellitus. Endocr Rev 2022;43(5):763-93 [DOI:10.1210/endrev/bnac003] [PMID] [PMCID]
7. Molęda P, Fronczyk A, Safranow K, Majkowska L. Is uric acid a missing link between previous gestational diabetes mellitus and the development of type 2 diabetes at a later time of life? PLoS One 2016;11(5):e0154921 [DOI:10.1371/journal.pone.0154921] [PMID] [PMCID]
8. Rahnemaei FA, Pakzad R, Amirian A, Pakzad I, Abdi F. Effect of gestational diabetes mellitus on lipid profile: A systematic review and meta-analysis. Open Med (Wars) 2021;17(1):70-86 [DOI:10.1515/med-2021-0408] [PMID] [PMCID]
9. Xuan Y, Zhang W, Wang Y, Wang B, Xia F, Zhang K, et al. Association Between Uric Acid to HDL Cholesterol Ratio and Diabetic Complications in Men and Postmenopausal Women. Diabetes Metab Syndr Obes 2023;16:167-77 [DOI:10.2147/DMSO.S387726] [PMID] [PMCID]
10. Kaiser K, Nielsen MF, Kallfa E, et al. Metabolic syndrome in women with previous gestational diabetes. Sci Rep 2021;11:11558 [DOI:10.1038/s41598-021-90832-0] [PMID] [PMCID]
11. Sheiner E. Gestational diabetes mellitus: long-term consequences for the mother and child grand challenge: how to move on towards secondary prevention? Front Clin Diabetes Healthc 2020;1:546256 [DOI:10.3389/fcdhc.2020.546256] [PMID] [PMCID]
12. Damm P, Houshmand-Oeregaard A, Kelstrup L, Lauenborg J, Mathiesen ER, Clausen TD. Gestational diabetes mellitus and long-term consequences for mother and offspring: a view from Denmark. Diabetologia 2016;59:1396-9 [DOI:10.1007/s00125-016-3985-5] [PMID]
13. Prakash GT, Das AK, Habeebullah S, Bhat V, Shamanna SB. Maternal and neonatal outcome in mothers with gestational diabetes mellitus. Indian J Endocrinol Metab 2017;21(6):854 [DOI:10.4103/ijem.IJEM_66_17] [PMID] [PMCID]
14. Li Y, Ren X, He L, Li J, Zhang S, Chen W. Maternal age and the risk of gestational diabetes mellitus: a systematic review and meta-analysis of over 120 million participants. Diabetes Res Clin Pract 2020;162:108044 [DOI:10.1016/j.diabres.2020.108044] [PMID]
15. Martin KE, Grivell RM, Yelland LN, Dodd JM. The influence of maternal BMI and gestational diabetes on pregnancy outcome. Diabetes Res Clin Pract 2015;108(3):508-13 [DOI:10.1016/j.diabres.2014.12.015] [PMID]
16. Ghodke B, Pusukuru R, Mehta V. Association of lipid profile in pregnancy with preeclampsia, gestational diabetes mellitus, and preterm delivery. Cureus 2017;9(7):e1420 [DOI:10.7759/cureus.1420] [PMID] [PMCID]
17. Wang J, Li Z, Lin L. Maternal lipid profiles in women with and without gestational diabetes mellitus. Medicine (Baltimore) 2019;98(16):e15320 [DOI:10.1097/MD.0000000000015320] [PMID] [PMCID]
18. Lenin M, Ramesh R, Velu VK, Ghose S. Association of Dyslipidemia and Glycated Haemoglobin in Gestational Diabetes Mellitus. J Diabetes Mellit 2017;7(4):275-80 [DOI:10.4236/jdm.2017.74022]
19. O'Malley EG, Reynolds CM, Killalea A, O'Kelly R, Sheehan SR, Turner MJ. Maternal obesity and dyslipidemia associated with gestational diabetes mellitus (GDM). Eur J Obstet Gynecol Reprod Biol 2020;246:67-71 [DOI:10.1016/j.ejogrb.2020.01.007] [PMID]
20. Sudharshana Murthy KA, Bhandiwada A, Chandan SL, Gowda SL, Sindhusree G. Evaluation of Oxidative Stress and Proinflammatory Cytokines in Gestational Diabetes Mellitus and Their Correlation with Pregnancy Outcome. Indian J Endocrinol Metab 2018;22(1):79-84 [DOI:10.4103/ijem.IJEM_232_16] [PMID] [PMCID]
21. Zhao Y, Zhao Y, Fan K, Jin L. Serum uric acid in early pregnancy and risk of gestational diabetes mellitus: a cohort study of 85,609 pregnant women. Diabetes Metab 2022;48(3):101293 [DOI:10.1016/j.diabet.2021.101293] [PMID]
22. Pleskacova A, Bartakova V, Chalasova K, Pacal L, Kankova K, Tomandl J. Uric acid and xanthine levels in pregnancy complicated by gestational diabetes mellitus - the effect on adverse pregnancy outcomes. Int J Mol Sci 2018;19(11):3696 [DOI:10.3390/ijms19113696] [PMID] [PMCID]
23. Liu R, Peng Y, Wu H, Diao X, Ye H, Huang X, et al. Uric acid to high-density lipoprotein cholesterol ratio predicts cardiovascular mortality in patients on peritoneal dialysis. Nutr Metab Cardiovasc Dis 2021;31(2):561-9 [DOI:10.1016/j.numecd.2020.10.005] [PMID]
24. Kocak MZ, Aktas G, Erkus E, Sincer I, Atak B, Duman T. Serum uric acid to HDL-cholesterol ratio is a strong predictor of metabolic syndrome in type 2 diabetes mellitus. Rev Assoc Med Bras 2019;65:9-15 [DOI:10.1590/1806-9282.65.1.9] [PMID]
25. Aktas G, Kocak MZ, Bilgin S, Atak BM, Duman TT, Kurtkulagi O. Uric acid to HDL cholesterol ratio is a strong predictor of diabetic control in men with type 2 diabetes mellitus. Aging Male 2020;23(5):1098-102 [DOI:10.1080/13685538.2019.1678126] [PMID]
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