| Literature DB >> 36235580 |
Jessica M Williamson1, Anya L Arthurs1, Melanie D Smith1, Claire T Roberts1, Tanja Jankovic-Karasoulos1.
Abstract
Folate is a dietary micronutrient essential to one-carbon metabolism. The World Health Organisation recommends folic acid (FA) supplementation pre-conception and in early pregnancy to reduce the risk of fetal neural tube defects (NTDs). Subsequently, many countries (~92) have mandatory FA fortification policies, as well as recommendations for periconceptional FA supplementation. Mandatory fortification initiatives have been largely successful in reducing the incidence of NTDs. However, humans have limited capacity to incorporate FA into the one-carbon metabolic pathway, resulting in the increasingly ubiquitous presence of circulating unmetabolised folic acid (uFA). Excess FA intake has emerged as a risk factor in gestational diabetes mellitus (GDM). Several other one-carbon metabolism components (vitamin B12, homocysteine and choline-derived betaine) are also closely entwined with GDM risk, suggesting a role for one-carbon metabolism in GDM pathogenesis. There is growing evidence from in vitro and animal studies suggesting a role for excess FA in dysregulation of one-carbon metabolism. Specifically, high levels of FA reduce methylenetetrahydrofolate reductase (MTHFR) activity, dysregulate the balance of thymidylate synthase (TS) and methionine synthase (MTR) activity, and elevate homocysteine. High homocysteine is associated with increased oxidative stress and trophoblast apoptosis and reduced human chorionic gonadotrophin (hCG) secretion and pancreatic β-cell function. While the relationship between high FA, perturbed one-carbon metabolism and GDM pathogenesis is not yet fully understood, here we summarise the current state of knowledge. Given rising rates of GDM, now estimated to be 14% globally, and widespread FA food fortification, further research is urgently needed to elucidate the mechanisms which underpin GDM pathogenesis.Entities:
Keywords: betaine; choline; folate; gestational diabetes mellitus; homocysteine; one-carbon metabolism; vitamin B12
Mesh:
Substances:
Year: 2022 PMID: 36235580 PMCID: PMC9573299 DOI: 10.3390/nu14193930
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Summary of research on the relationship between folate and GDM.
| Authors | Study Country | Pregnancy Status ( | Weeks’ Gestation | Measure | Results |
|---|---|---|---|---|---|
| Zhu et al., 2016 [ | China | Non-GDM (1689) vs. GDM (249) | <12 | FA supplementation | aOR: 2.25 95% CI: 1.35–3.76 |
| Cheng et al., 2019 [ | China | Non-GDM (853) vs. GDM (97) | ≥3 months pre-conception | FA supplementation | aRR: 1.72 95% CI: 1.17–2.53, |
| Huang et al., 2019 [ | China | Non-GDM (293) vs. GDM (33) | 16–18 | FA supplementation | aOR: 3.45 95% CI: 1.01–11.8, |
| Chen et al., 2021 [ | China | Non-GDM (878) vs. GDM (180) | 9–13 | FA supplementation | aOR: 1.73 95% CI: 1.19–2.53, |
| RBC Folate | aOR: 1.58 95% CI: 1.03–2.41, | ||||
| Xie et al., 2019 [ | China | Uncomplicated (1890) vs. GDM (392) | 19–24 | RBC folate | RR per 1-SD increase: 1.16 95% CI 1.03–1.30, |
| Liu et al., 2020 [ | China | Non-GDM (299) vs. GDM (67 | <12 | RBC Folate | aOR: 2.473 95% CI: 1.013–6.037, |
| Li et al., 2019 [ | China | Uncomplicated (316) vs. GDM (90) | 24–28 | Serum folate | OR: 1.98 95% CI: 1.00–3.90, |
| Saravanan et al., 2021 [ | UK | Uncomplicated (3702) vs. GDM (526) | 12.5 ± 1.4 | Serum folate | aRR: 1.11 95% CI: 1.036–1.182, |
| Jankovic-Karasoulos et al., 2021 [ | Australia and New Zealand | Uncomplicated (111) vs. GDM (33) | 15 ± 1 | Serum folate | mean ± SD (nmol/L): 31.9 ± 11.2 vs. 37.6 ± 8.0, |
Figure 1Overview of one-carbon metabolism. Folic acid (FA) is reduced via dihydrofolate reductase (DHFR) to dihydrofolate (DHF) and sequentially tetrahydrofolate (THF) [58]. THF is interconverted to intermediate metabolites 10-formyltetrahydrofolate (10-formylTHF), 5,10-methenyltetrahydrofolate (5,10-methenylTHF and 5,10-methylenetetrahydrofolate (5,10-methyleneTHF), Methylenetetrahydrofolate dehydrogenase (MTHFD1) regulates conversion of THF. After conversion of THF to 5,10-methyleneTHF), a substrate of methylenetetrahydrofolate reductase (MTHFR), 5,10-methyleneTHF can be used in the conversion of deoxyuridine monophosphate (dUMP) to deoxythymidine monophosphate (dTMP) via thymidylate synthase (TS). Alternatively, MTFHR converts 5,10-methyleneTHF to 5-methylTHF. 5-methylTHF is used for homocysteine re-methylation to methionine and is reliant on vitamin B12 (B12)-dependent methionine synthase (MTR). Methionine is converted to S-adenosylmethionine (SAM), a methyl donor in methylation reactions, and sequentially to S-adenosylhomocysteine (SAH), a substrate of homocysteine re-methylation. Alternatively, betaine derived from choline catalysed by choline dehydrogenase (CHD), can be used as a methyl donor in homocysteine re-methylation in a folate-independent manner. After donating a methyl group, betaine becomes dimethylglycine (DMG) Adapted from [16].
Figure 2Folic Acid Metabolism. Folic acid (FA) requires reduction by dihydrofolate reductase (DHFR) to dihydrofolate (DHF) and sequentially tetrahydrofolate (THF). THF is then converted to 5,10-methyleneTHF and 5-methylTHF, dependent on methylenetetrahydrofolate dehydrogenase 1 (MTHDF1) and methylenetetrahydrofolate reductase (MTHFR) function.
Summary of research on the relationship between circulating vitamin B12 and GDM.
| Authors | Study Country | Pregnancy Status ( | Weeks’ Gestation | Measure | Results |
|---|---|---|---|---|---|
| Sukumar et al., 2016 [ | UK | B12-deficient < 150 pmol/L (90) vs. B12-replete > 150 pmol/L (254) | 26.9 ± 5.3 | WHO 1999 GDM criteria | OR: 2.59 95% CI 1.35–4.98, |
| Saravan et al., 2021 [ | UK | B12-deficient < 220 pmol/L (1790) vs. B12-replete > 220 pmol/L (2530) | 12.5 ± 1.4 | IADPSG-GDM | aRR: 1.383, 95% CI 1.157–1.652, |
| Uncomplicated (3687) vs. GDM (633) | 12.5 ± 1.4 | Serum B12 | aRR: 0.856, 95% CI: 0.786–0.933, | ||
| B12 tertile 1 + folate tertile 3 | aRR: 1.742 95% CI: 1.226–2.437, | ||||
| Li et al., 2019 | China | Uncomplicated (110) vs. GDM (27) | 24–28 | Serum folate:B12 ratio 26.67–41.03 | aOR: 1.53 95% CI: 0.79–2.97, |
| Uncomplicated (93) vs. GDM (43) | 24–28 | Serum folate:B12 ratio ≥ 41.03 | aOR: 3.08 95% CI: 1.63–5.83, | ||
| Lai et al., 2018 [ | Singapore | Folate Tertile 1 (Ref) (193) vs. Folate Tertile 2 (164) | 26–28 | WHO 1999 GDM criteria | aOR: 1.94 95% CI: 1.04–3.62, |
| Folate Tertile 1 (Ref) (193) vs. Folate Tertile 3 (156) | 26–28 | WHO 1999 GDM criteria | aOR: 1.97 95% CI: 1.05–3.68, | ||
| Krishnaveni et al., 2009 | India | Folate ≤ 21.3 nmol/L (129) vs. Folate > 21.3–45.4 nmol/L (114) and Folate > 45.4 nmol/L (91) | 30 | GDM Carpenter–Coustan criteria [ | 5.4%, 10.5%, 10.9% (Tertile 1, 2, and 3, respectively), |
WHO, World Health Organisation; IADPSG, International Association of the Diabetes and Pregnancy Study Groups; GDM, gestational diabetes mellitus; aOR, adjusted odds ratio; CI, confidence interval aRR, adjusted risk ratio.
Summary of research on the relationship between circulating homocysteine and GDM.
| Authors | Study Country | Pregnancy Status ( | Weeks’ Gestation | Hcy Measure | Results |
|---|---|---|---|---|---|
| Tarim et al., 2004 [ | Turkey | Normoglycemic ≤ 7.5 nmol/L, 1 h-50 g glucose (210) vs. glucose intolerant, >7.5 nmol/L glucose challenge, normal oGTT (66) vs. GDM (28) | 24–28 | Plasma | Mean ± SD (μmol/L) |
| Guven et al., 2006 [ | Turkey | Normoglycemic ≤ 7.8 nmol/L, 1 h-50 g glucose (147) vs. glucose intolerant > 7.8 nmol/L glucose challenge, normal oGTT (46) vs. GDM (30) | 24–28 | Serum | Mean ± SD (μmol/L) |
| Seghieri et al., 2003 [ | Italy | Non-GDM (78) vs. GDM (15) | 24–28 | Serum | Mean ± SD (μmol/L) |
| Tarim et al., 2006 [ | Turkey | Non-GDM (40) vs. GDM (30) | 24–28 | Plasma | Mean ± SD (μmol/L) Control: 5.03 ± 0.91 |
| Davari-Tanha et al., 2008 [ | Iran | Non-GDM (40) vs. GDM (40) | 24–28 | Plasma 8 h fasting | Mean ± SD (μmol/L) |
| Atay et al., 2014 [ | NS | Uncomplicated (38) vs. GDM (37) | 24–28 | Serum 12 h fasting | Mean ± SD mmol/l) |
| Deng et al., 2020 [ | China | Non-GDM (350) vs. GDM (346) | 24–28 | Plasma | Mean ± SD (μmol/L) |
| Idzior-Waluś et al., 2008 [ | Poland | Non-GDM (17) vs. GDM (44) | 26–32 | Serum | Mean ± SD (μmol/L) |
| Radzicka et al., 2019 | Poland | Uncomplicated (19) vs. GDM (60) | 24–28 | Serum | Mean ± IQR (μmol/L) |
| López-Quesada et al., 2005 [ | Spain | Normoglycemic ≤ 7.8 nmol/L, 1 h-50 g glucose (190) vs. Glucose intolerant (18) > 7.8 nmol/L glucose challenge, normal oGTT vs. GDM (17) | 34 | Plasma fasting | Median ± SD (μmol/L) |
| Akturk et al., 2010 | Turkey | Normoglycemic (69) vs. GDM (54) | 32–39 | Plasma | Mean ± SEM (μmol/L) |
| Mascarenhas et al. | India | Normoglycemic (83) vs. GDM (7) | 8–12 | Serum overnight fasting | Mean (μmol/L) |
oGTT, oral glucose tolerance test; GDM, gestational diabetes mellitus; NS, not stated; SD, standard deviation; IQR, interquartile range; SEM, standard error of mean.
Summary of research on the relationship between betaine and GDM.
| Authors | Study Country | Pregnancy Status ( | Weeks’ Gestation | Measure | Results |
|---|---|---|---|---|---|
| Huo et al., 2019 [ | China | Uncomplicated (243) vs. GDM (243) | Median: 10 (IQR: 9–11) | Serum betaine | Mean (IQR) (nmol/mL) |
| Betaine ≤ 200 nmol/mL (90) vs. | Median: 10 (IQR: 9–11) | GDM (WHO 2013 criteria) | OR: 5.00 95% CI: 2.76–9.07, | ||
| Gong et al., 2021 [ | China | Betaine Tertile 1 (62) vs. | 5.4–11.4 | IADPSG-GDM | aRR: 0.41 (95% CI: 0.19– 0.86, |
| Barzilay et al., 2018 [ | Canada | Uncomplicated (296) vs. GDM (18) | 12–16 | Plasma betaine | Mean ± SD (μmol/L): 13.4 ± 4.1 vs. 12.1 ± 2.4, |
| Uncomplicated (278) vs. GDM (16) | 37–42 | Plasma betaine | Mean ± SD (μmol/L): 10.4 ± 2.8 vs. 10.3 ± 2.2, | ||
| Uncomplicated (252) vs. GDM (14) | 28–42 | Cord blood plasma betaine | Mean ± SD (μmol/L): 21.2 ± 4.7 vs. 18.5 ± 3.9, |
GDM, gestational diabetes mellitus; IQR, interquartile range; WHO, World Health Organisation; aOR, adjusted odds ratio; CI, confidence interval; IADPSG, International Association of the Diabetes and Pregnancy Study Groups; aRR, adjusted risk ratio; SD, standard deviation; RBC, red blood cell.
Figure 3Overview of the effects of supraphysiological FA on one-carbon metabolism. Excess FA has demonstrated reduced methylenetetrahydrofolate reductase (MTHFR) activity in humans and mice favouring the thymidylate synthase (TS) cycle at the expense of methionine synthase (MTR) activity in C. elegans and elevated homocysteine in C. elegans, human choriocarcinoma BeWo and JEG3 cells.