A FRESH APPROACH TO GESTATIONAL DIABETES. FUTURE NCD PREVENTION FOR MOTHERS AND CHILDREN
Main Article Content
Keywords
.
Abstract
Gestational diabetes mellitus, also known as GDM, is the most common medical condition linked to pregnancy. It is widely recognized that GDM is connected to immediate issues during pregnancy such as excessive foetal development and obesity as well as to hypertensive illnesses during pregnancy. However, the connections between a number of longer-term maternal and foetal health outcomes, such as lifelong risks for obesity, pre-diabetes, diabetes, and cardiovascular disease, have received less attention, and few health systems consistently address these important issues.
References
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PubMed Abstract | CrossRef Full Text | Google Scholar
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Abstract | CrossRef Full Text | Google Scholar
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hyperglycemia and adverse pregnancy outcome study: associations of GDM and obesity with
pregnancy outcomes. Diabetes Care (2012) 35:780–6. doi: 10.2337/dc11-1790 PubMed
Abstract | CrossRef Full Text | Google Scholar
7. Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR, et al. Hyperglycemia
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Google Scholar
8. HAPO Study Cooperative Research Group. Hyperglycaemia and Adverse Pregnancy Outcome
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10.1111/j.1471-0528.2009.02486.x
PubMed Abstract | CrossRef Full Text | Google Scholar
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association of diabetes and pregnancy study groups recommendations on the diagnosis and
classification of hyperglycemia in pregnancy. Diabetes Care (2010) 33:676–82. doi:
10.2337/dc10-0719
PubMed Abstract | CrossRef Full Text | Google Scholar
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PubMed Abstract | CrossRef Full Text | Google Scholar
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the first visit and prediction of GDM. J Assoc Physicians India (2007) 55:630–2. PubMed
Abstract | Google Scholar
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diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular
diseases. Cardiovasc Diabetol (2019) 18:140. doi: 10.1186/s12933-019-0935-9
PubMed Abstract | CrossRef Full Text | Google Scholar
Vol. 30 No. 19 (2023): JPTCP (1501-1514) Page | 1512
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Diabetes Rep (2017) 17:12. doi: 10.1007/s11892-017-0834-y
CrossRef Full Text | Google Scholar
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Prognostic models versus single risk factor approach in first-trimester selective screening for
gestational diabetes mellitus: a prospective population-based multicentre cohort study.
Bjog (2020). doi: 10.1111/1471-0528.16446
CrossRef Full Text | Google Scholar
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10.1038/s41591-019-0724-8
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prediction model for gestational diabetes utilizing aneuploidy and pre-eclampsia screening
markers. J Matern Fetal Neonatal Med (2018) 31:2122–30. doi:
10.1080/14767058.2017.1336759
PubMed Abstract | CrossRef Full Text | Google Scholar
17. .Ravnsborg T, Svaneklink S, Andersen LLT, Larsen MR, Jensen DM, Overgaard M. Firsttrimester
proteomic profiling identifies novel predictors of gestational diabetes mellitus. PLoS
One (2019) 14:e0214457. doi: 10.1371/journal.pone.0214457
PubMed Abstract | CrossRef Full Text | Google Scholar
18. . Zhou T, Huang L, Wang M, Chen D, Chen Z, Jiang SW. A Critical Review of Proteomic Studies
in Gestational Diabetes Mellitus. J Diabetes Res (2020) 2020:6450352. doi:
10.1155/2020/6450352
PubMed Abstract | CrossRef Full Text | Google Scholar
19. Jayabalan N, Lai A, Nair S, Guanzon D, Scholz-Romero K, Palma C, et al. Quantitative
Proteomics by SWATH-MS Suggest an Association Between Circulating Exosomes and
Maternal Metabolic Changes in Gestational Diabetes Mellitus. Proteomics (2019) 19:e1800164.
doi: 10.1002/pmic.201800164
PubMed Abstract | CrossRef Full Text | Google Scholar
20. Herrera-Van Oostdam AS, Salgado-Bustamante M, López JA, Herrera-Van Oostdam DA, LópezHernández Y. Placental exosomes viewed from an ‘omics’ perspective: implications for
gestational diabetes biomarkers identification. Biomark Med (2019) 13:675–84. doi:
10.2217/bmm-2018-0468
PubMed Abstract | CrossRef Full Text | Google Scholar
21. James-Allan LB, Rosario FJ, Barner K, Lai A, Guanzon D, McIntyre HD, et al. Regulation of
glucose homeostasis by small extracellular vesicles in normal pregnancy and in gestational
diabetes. FASEB J (2020) 34:5724–39. doi: 10.1096/fj.201902522RR
PubMed Abstract | CrossRef Full Text | Google Scholar
22. Yoffe L, Polsky A, Gilam A, Raff C, Mecacci F, Ognibene A, et al. Early diagnosis of gestational
diabetes mellitus using circulating microRNAs. Eur J Endocrinol (2019) 181:565–77. doi:
10.1530/EJE-19-0206
Vol. 30 No. 19 (2023): JPTCP (1501-1514) Page | 1513
PubMed Abstract | CrossRef Full Text | Google Scholar
23. . Abdeltawab A, Zaki ME, Abdeldayem Y, Mohamed AA, Zaied SM. Circulating micro RNA223
and angiopoietin-like protein 8 as biomarkers of gestational diabetes mellitus. Br J BioMed
Sci (2020) 1–6. doi: 10.1080/09674845.2020.1764211
CrossRef Full Text | Google Scholar
24. Filardi T, Catanzaro G, Mardente S, Zicari A, Santangelo C, Lenzi A, et al. Non-Coding RNA:
Role in Gestational Diabetes Pathophysiology and Complications. Int J Mol Sci (2020) 21:4020.
doi: 10.3390/ijms21114020
CrossRef Full Text | Google Scholar
25. World Health Organization. Diagnostic Criteria and Classification of Hyperglycaemia First
Detected in Pregnancy. Geneva: WHO Press (2013).
Google Scholar
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Gynecol (2018) 131:e49–64. doi: 10.1097/AOG.0000000000002501
PubMed Abstract | CrossRef Full Text | Google Scholar
27. Canadian Diabetes Association. Canadian Diabetes Association 2008 Clinical Practice
Guidelines for the Prevention and Management of Diabetes in Canada. Can J Diabetes (2008)
32:S168–81.
Google Scholar
28. Round JA, Jacklin P, Fraser RB, Hughes RG, Mugglestone MA, Holt RI. Screening for
gestational diabetes mellitus: cost-utility of different screening strategies based on a woman’s
individual risk of disease. Diabetologia (2011) 54:256–63. doi: 10.1007/s00125-010-1881-y
PubMed Abstract | CrossRef Full Text | Google Scholar
29. NICE guidelines, Diabetes in pregnancy: management from preconception to the postnatal
period. London, UK: National Institute for Health and Care Excellence: Clinical Guidelines
(2015).
Google Scholar
30. Tieu J, McPhee AJ, Crowther CA, Middleton P, Shepherd E. Screening for gestational diabetes
mellitus based on different risk profiles and settings for improving maternal and infant health.
Cochrane Database Syst Rev (2017) 8:Cd007222. doi: 10.1002/14651858.CD007222.pub4
PubMed Abstract | CrossRef Full Text | Google Scholar
31. Mo X, Tobe RG, Takahashi Y, Arata N, Liabsuetrakul T, Nakayama T, et al. Economic
evaluations of gestational diabetes mellitus screening: A systematic review. J Epidemiol (2020).
doi: 10.2188/jea.JE20190338 CrossRef Full Text | Google Scholar
32. Persson M, Winkvist A, Mogren I. Surprisingly low compliance to local guidelines for risk factor
based screening for gestational diabetes mellitus - A population-based study. BMC Pregnancy
Childbirth (2009) 9:53. doi: 10.1186/1471-2393-9-53
PubMed Abstract | CrossRef Full Text | Google Scholar
33. Murphy NM, McCarthy FP, Khashan AS, Myers JE, Simpson NA, Kearney PM, et al.
Compliance with National Institute of Health and Care Excellence risk-based screening for
Gestational Diabetes Mellitus in nulliparous women. Eur J Obstet Gynecol Reprod Biol (2016)
199:60–5. doi: 10.1016/j.ejogrb.2016.01.044
PubMed Abstract | CrossRef Full Text | Google Scholar
34. Adam S, Rheeder P. Screening for gestational diabetes mellitus in a South African population:
Prevalence, comparison of diagnostic criteria and the role of risk factors. S Afr Med J (2017)
107:523–7. doi: 10.7196/SAMJ.2017.v107i6.12043
PubMed Abstract | CrossRef Full Text | Google Scholar
35. Meththananda Herath HM, Weerarathna TP, Weerasinghe NP. Is Risk Factor-based Screening
Vol. 30 No. 19 (2023): JPTCP (1501-1514) Page | 1514
Good Enough to Detect Gestational Diabetes Mellitus in High-Risk Pregnant Women? A Sri
Lankan Experience. Int J Prev Med (2016) 7:99. doi: 10.4103/2008-7802.188084
PubMed Abstract | CrossRef Full Text | Google Scholar
36. Bonongwe P, Lindow SW, Coetzee EJ. Reproducibility of a 75G oral glucose tolerance test in
pregnant women. J Perinatal Med (2015) 43:333–8. doi: 10.1515/jpm-2014-0208 CrossRef Full
Text | Google Scholar
37. Dunseath GJ, Bright D, Jones C, Dowrick S, Cheung WY, Luzio SD. Performance evaluation of
a self-administered home oral glucose tolerance test kit in a controlled clinical research setting.
Diabetes Med (2019) 36:862–7. doi: 10.1111/dme.13961 CrossRef Full Text | Google Scholar
38. Dhatt GS, Agarwal MM, Othman Y, Nair SC. Performance of the Roche Accu-Chek active
glucose meter to screen for gestational diabetes mellitus using fasting capillary blood. Diabetes
Technol Ther (2011) 13:1229–33.
PubMed Abstract | Google Scholar
Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for
2045. Diabetes Res Clin Pract (2018) 138:271–81. doi: 10.1016/j.diabres.2018.02.023 PubMed
Abstract | CrossRef Full Text | Google Scholar
2. Colagiuri S, Falavigna M, Agarwal MM, Boulvain M, Coetzee E, Hod M, et al. Strategies for
implementing the WHO diagnostic criteria and classification of hyperglycaemia first detected in
pregnancy. Diabetes Res Clin Pract (2014) 103:364–72. doi: 10.1016/j.diabres.2014.02.012
PubMed Abstract | CrossRef Full Text | Google Scholar
3. Hod M, Kapur A, Sacks DA, Hadar E, Agarwal M, Di Renzo GC, et al. The International
Federation of Gynecology and Obstetrics (FIGO) Initiative on gestational diabetes mellitus: A
pragmatic guide for diagnosis, management, and care. Int J Gynaecol Obstet (2015) 131 Suppl
3:S173–211. doi: 10.1016/S0020-7292(15)30033-3 CrossRef
Full Text | Google Scholar
4. . Menke A, Casagrande S, Geiss L, Cowie CC. Prevalence of and Trends in Diabetes Among
Adults in the United States, 1988-2012. Jama (2015) 314:1021–9. doi: 10.1001/jama.2015.10029
PubMed Abstract | CrossRef Full Text | Google Scholar
5. Menke A, Casagrande S, Cowie CC. Prevalence of Diabetes in Adolescents Aged 12 to 19 Years
in the United States, 2005-2014. Jama (2016) 316:344–5. doi: 10.1001/jama.2016.8544 PubMed
Abstract | CrossRef Full Text | Google Scholar
6. Catalano PM, McIntyre HD, Cruickshank JK, McCance DR, Dyer AR, Metzger BE, et al. The
hyperglycemia and adverse pregnancy outcome study: associations of GDM and obesity with
pregnancy outcomes. Diabetes Care (2012) 35:780–6. doi: 10.2337/dc11-1790 PubMed
Abstract | CrossRef Full Text | Google Scholar
7. Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR, et al. Hyperglycemia
and adverse pregnancy outcomes. N Engl J Med (2008) 358:1991–2002. PubMed Abstract |
Google Scholar
8. HAPO Study Cooperative Research Group. Hyperglycaemia and Adverse Pregnancy Outcome
(HAPO) Study: associations with maternal body mass index. BJOG (2010) 117:575–84. doi:
10.1111/j.1471-0528.2009.02486.x
PubMed Abstract | CrossRef Full Text | Google Scholar
9. 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) 33:676–82. doi:
10.2337/dc10-0719
PubMed Abstract | CrossRef Full Text | Google Scholar
10. . Sedgh G, Singh S, Hussain R. Intended and unintended pregnancies worldwide in 2012 and
recent trends. Stud Fam Plann (2014) 45:301–14. doi: 10.1111/j.1728-4465.2014.00393.x
PubMed Abstract | CrossRef Full Text | Google Scholar
11. Seshiah V, Balaji V, Balaji MS, Panneerselvam A, Thamizharasi M, Arthi T. Glycemic level at
the first visit and prediction of GDM. J Assoc Physicians India (2007) 55:630–2. PubMed
Abstract | Google Scholar
12. Lorenzo-Almorós A, Hang T, Peiró C, Soriano-Guillén L, Egido J, Tuñón J, et al. Predictive and
diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular
diseases. Cardiovasc Diabetol (2019) 18:140. doi: 10.1186/s12933-019-0935-9
PubMed Abstract | CrossRef Full Text | Google Scholar
Vol. 30 No. 19 (2023): JPTCP (1501-1514) Page | 1512
13. . Powe CE. Early Pregnancy Biochemical Predictors of Gestational Diabetes Mellitus. Curr
Diabetes Rep (2017) 17:12. doi: 10.1007/s11892-017-0834-y
CrossRef Full Text | Google Scholar
14. . van Hoorn F, Koster M, Naaktgeboren CA, Groenendaal F, Kwee A, Lamain-de Ruiter M, et al.
Prognostic models versus single risk factor approach in first-trimester selective screening for
gestational diabetes mellitus: a prospective population-based multicentre cohort study.
Bjog (2020). doi: 10.1111/1471-0528.16446
CrossRef Full Text | Google Scholar
15. Artzi NS, Shilo S, Hadar E, Rossman H, Barbash-Hazan S, Ben-Haroush A, et al. Prediction of
gestational diabetes based on nationwide electronic health records. Nat Med (2020) 26:71–6. doi:
10.1038/s41591-019-0724-8
PubMed Abstract | CrossRef Full Text | Google Scholar
16. . Sweeting AN, Wong J, Appelblom H, Ross GP, Kouru H, Williams PF, et al. A first trimester
prediction model for gestational diabetes utilizing aneuploidy and pre-eclampsia screening
markers. J Matern Fetal Neonatal Med (2018) 31:2122–30. doi:
10.1080/14767058.2017.1336759
PubMed Abstract | CrossRef Full Text | Google Scholar
17. .Ravnsborg T, Svaneklink S, Andersen LLT, Larsen MR, Jensen DM, Overgaard M. Firsttrimester
proteomic profiling identifies novel predictors of gestational diabetes mellitus. PLoS
One (2019) 14:e0214457. doi: 10.1371/journal.pone.0214457
PubMed Abstract | CrossRef Full Text | Google Scholar
18. . Zhou T, Huang L, Wang M, Chen D, Chen Z, Jiang SW. A Critical Review of Proteomic Studies
in Gestational Diabetes Mellitus. J Diabetes Res (2020) 2020:6450352. doi:
10.1155/2020/6450352
PubMed Abstract | CrossRef Full Text | Google Scholar
19. Jayabalan N, Lai A, Nair S, Guanzon D, Scholz-Romero K, Palma C, et al. Quantitative
Proteomics by SWATH-MS Suggest an Association Between Circulating Exosomes and
Maternal Metabolic Changes in Gestational Diabetes Mellitus. Proteomics (2019) 19:e1800164.
doi: 10.1002/pmic.201800164
PubMed Abstract | CrossRef Full Text | Google Scholar
20. Herrera-Van Oostdam AS, Salgado-Bustamante M, López JA, Herrera-Van Oostdam DA, LópezHernández Y. Placental exosomes viewed from an ‘omics’ perspective: implications for
gestational diabetes biomarkers identification. Biomark Med (2019) 13:675–84. doi:
10.2217/bmm-2018-0468
PubMed Abstract | CrossRef Full Text | Google Scholar
21. James-Allan LB, Rosario FJ, Barner K, Lai A, Guanzon D, McIntyre HD, et al. Regulation of
glucose homeostasis by small extracellular vesicles in normal pregnancy and in gestational
diabetes. FASEB J (2020) 34:5724–39. doi: 10.1096/fj.201902522RR
PubMed Abstract | CrossRef Full Text | Google Scholar
22. Yoffe L, Polsky A, Gilam A, Raff C, Mecacci F, Ognibene A, et al. Early diagnosis of gestational
diabetes mellitus using circulating microRNAs. Eur J Endocrinol (2019) 181:565–77. doi:
10.1530/EJE-19-0206
Vol. 30 No. 19 (2023): JPTCP (1501-1514) Page | 1513
PubMed Abstract | CrossRef Full Text | Google Scholar
23. . Abdeltawab A, Zaki ME, Abdeldayem Y, Mohamed AA, Zaied SM. Circulating micro RNA223
and angiopoietin-like protein 8 as biomarkers of gestational diabetes mellitus. Br J BioMed
Sci (2020) 1–6. doi: 10.1080/09674845.2020.1764211
CrossRef Full Text | Google Scholar
24. Filardi T, Catanzaro G, Mardente S, Zicari A, Santangelo C, Lenzi A, et al. Non-Coding RNA:
Role in Gestational Diabetes Pathophysiology and Complications. Int J Mol Sci (2020) 21:4020.
doi: 10.3390/ijms21114020
CrossRef Full Text | Google Scholar
25. World Health Organization. Diagnostic Criteria and Classification of Hyperglycaemia First
Detected in Pregnancy. Geneva: WHO Press (2013).
Google Scholar
26. A.C.o.P. Bulletins. ACOG Practice Bulletin No. 190: Gestational Diabetes Mellitus. Obstet
Gynecol (2018) 131:e49–64. doi: 10.1097/AOG.0000000000002501
PubMed Abstract | CrossRef Full Text | Google Scholar
27. Canadian Diabetes Association. Canadian Diabetes Association 2008 Clinical Practice
Guidelines for the Prevention and Management of Diabetes in Canada. Can J Diabetes (2008)
32:S168–81.
Google Scholar
28. Round JA, Jacklin P, Fraser RB, Hughes RG, Mugglestone MA, Holt RI. Screening for
gestational diabetes mellitus: cost-utility of different screening strategies based on a woman’s
individual risk of disease. Diabetologia (2011) 54:256–63. doi: 10.1007/s00125-010-1881-y
PubMed Abstract | CrossRef Full Text | Google Scholar
29. NICE guidelines, Diabetes in pregnancy: management from preconception to the postnatal
period. London, UK: National Institute for Health and Care Excellence: Clinical Guidelines
(2015).
Google Scholar
30. Tieu J, McPhee AJ, Crowther CA, Middleton P, Shepherd E. Screening for gestational diabetes
mellitus based on different risk profiles and settings for improving maternal and infant health.
Cochrane Database Syst Rev (2017) 8:Cd007222. doi: 10.1002/14651858.CD007222.pub4
PubMed Abstract | CrossRef Full Text | Google Scholar
31. Mo X, Tobe RG, Takahashi Y, Arata N, Liabsuetrakul T, Nakayama T, et al. Economic
evaluations of gestational diabetes mellitus screening: A systematic review. J Epidemiol (2020).
doi: 10.2188/jea.JE20190338 CrossRef Full Text | Google Scholar
32. Persson M, Winkvist A, Mogren I. Surprisingly low compliance to local guidelines for risk factor
based screening for gestational diabetes mellitus - A population-based study. BMC Pregnancy
Childbirth (2009) 9:53. doi: 10.1186/1471-2393-9-53
PubMed Abstract | CrossRef Full Text | Google Scholar
33. Murphy NM, McCarthy FP, Khashan AS, Myers JE, Simpson NA, Kearney PM, et al.
Compliance with National Institute of Health and Care Excellence risk-based screening for
Gestational Diabetes Mellitus in nulliparous women. Eur J Obstet Gynecol Reprod Biol (2016)
199:60–5. doi: 10.1016/j.ejogrb.2016.01.044
PubMed Abstract | CrossRef Full Text | Google Scholar
34. Adam S, Rheeder P. Screening for gestational diabetes mellitus in a South African population:
Prevalence, comparison of diagnostic criteria and the role of risk factors. S Afr Med J (2017)
107:523–7. doi: 10.7196/SAMJ.2017.v107i6.12043
PubMed Abstract | CrossRef Full Text | Google Scholar
35. Meththananda Herath HM, Weerarathna TP, Weerasinghe NP. Is Risk Factor-based Screening
Vol. 30 No. 19 (2023): JPTCP (1501-1514) Page | 1514
Good Enough to Detect Gestational Diabetes Mellitus in High-Risk Pregnant Women? A Sri
Lankan Experience. Int J Prev Med (2016) 7:99. doi: 10.4103/2008-7802.188084
PubMed Abstract | CrossRef Full Text | Google Scholar
36. Bonongwe P, Lindow SW, Coetzee EJ. Reproducibility of a 75G oral glucose tolerance test in
pregnant women. J Perinatal Med (2015) 43:333–8. doi: 10.1515/jpm-2014-0208 CrossRef Full
Text | Google Scholar
37. Dunseath GJ, Bright D, Jones C, Dowrick S, Cheung WY, Luzio SD. Performance evaluation of
a self-administered home oral glucose tolerance test kit in a controlled clinical research setting.
Diabetes Med (2019) 36:862–7. doi: 10.1111/dme.13961 CrossRef Full Text | Google Scholar
38. Dhatt GS, Agarwal MM, Othman Y, Nair SC. Performance of the Roche Accu-Chek active
glucose meter to screen for gestational diabetes mellitus using fasting capillary blood. Diabetes
Technol Ther (2011) 13:1229–33.
PubMed Abstract | Google Scholar
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Published
Dec 29, 2023
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How to Cite
Dr. Sonali Kalvade, Dr. Namita Jain, Dr. Sunita Solanki, & Dr. Neeta Chourasiya. (2023). A FRESH APPROACH TO GESTATIONAL DIABETES. FUTURE NCD PREVENTION FOR MOTHERS AND CHILDREN. Journal of Population Therapeutics and Clinical Pharmacology, 30(19), 1501-1517. https://doi.org/10.53555/jptcp.v30i19.3862
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Author Biographies
Dr. Sonali Kalvade
Assistant professor Department of Biochemistry Index medical college Indore
Dr. Namita Jain
Assistant professor Department of BiochemistryLNCTMC Indore
Dr. Sunita Solanki
Associate Professor Department of Physiology MGM Medical College Indore
Dr. Neeta Chourasiya
Assistant professor Department of Biochemistry LNCTMC Indore
How to Cite
Dr. Sonali Kalvade, Dr. Namita Jain, Dr. Sunita Solanki, & Dr. Neeta Chourasiya. (2023). A FRESH APPROACH TO GESTATIONAL DIABETES. FUTURE NCD PREVENTION FOR MOTHERS AND CHILDREN. Journal of Population Therapeutics and Clinical Pharmacology, 30(19), 1501-1517. https://doi.org/10.53555/jptcp.v30i19.3862