Carbohydrate-Mediated Pregnancy Gut Microbiota and Neonatal Low Birth Weight

Overview

Journal Nutrients

Date 2024 May 11

PMID 38732572

Authors

Hong-Ren Yu

Yao-Tsung Yeh

Hong-Tai Tzeng

Hong-Ying Dai

Wei-Chia Lee

Kay L H Wu

Julie Y H Chan

You-Lin Tain

Chien-Ning Hsu

Affiliations

Soon will be listed here.

Abstract

The effects of gut microbiota on the association between carbohydrate intake during pregnancy and neonatal low birth weight (LBW) were investigated. A prospective cohort study was conducted with 257 singleton-born mother-child pairs in Taiwan, and maternal dietary intake was estimated using a questionnaire, with each macronutrient being classified as low, medium, or high. Maternal fecal samples were collected between 24 and 28 weeks of gestation, and gut microbiota composition and diversity were profiled using 16S rRNA amplicon gene sequencing. Carbohydrates were the major source of total energy (56.61%), followed by fat (27.92%) and protein (15.46%). The rate of infant LBW was 7.8%, which was positively correlated with maternal carbohydrate intake. In the pregnancy gut microbiota, and spp. were indirectly and directly negatively associated with fetal growth, respectively; was directly positively associated with neonatal birth weight. Maternal hypertension during pregnancy altered the microbiota features and was associated with poor fetal growth. Microbiota-accessible carbohydrates can modify the composition and function of the pregnancy gut microbiota, thus providing a potential marker to modulate deviations from dietary patterns, particularly in women at risk of hypertension during pregnancy, to prevent neonatal LBW.

References

Ruebel M, Gilley S, Sims C, Zhong Y, Turner D, Chintapalli S . Associations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy. Nutrients. 2021; 13(9). PMC: 8468685. DOI: 10.3390/nu13093295. View

Visentin S, Grumolato F, Nardelli G, Di Camillo B, Grisan E, Cosmi E . Early origins of adult disease: low birth weight and vascular remodeling. Atherosclerosis. 2014; 237(2):391-9. DOI: 10.1016/j.atherosclerosis.2014.09.027. View

Callahan B, McMurdie P, Rosen M, Han A, Johnson A, Holmes S . DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods. 2016; 13(7):581-3. PMC: 4927377. DOI: 10.1038/nmeth.3869. View

Hernandez T, Mande A, Barbour L . Nutrition therapy within and beyond gestational diabetes. Diabetes Res Clin Pract. 2018; 145:39-50. PMC: 6195478. DOI: 10.1016/j.diabres.2018.04.004. View

Fultz R, Ticer T, Ihekweazu F, Horvath T, Haidacher S, Hoch K . Unraveling the Metabolic Requirements of the Gut Commensal . Front Microbiol. 2021; 12:745469. PMC: 8656163. DOI: 10.3389/fmicb.2021.745469. View

Christian P, Mullany L, Hurley K, Katz J, Black R . Nutrition and maternal, neonatal, and child health. Semin Perinatol. 2015; 39(5):361-72. DOI: 10.1053/j.semperi.2015.06.009. View

Mousa A, Naqash A, Lim S . Macronutrient and Micronutrient Intake during Pregnancy: An Overview of Recent Evidence. Nutrients. 2019; 11(2). PMC: 6413112. DOI: 10.3390/nu11020443. View

Ponzo V, Fedele D, Goitre I, Leone F, Lezo A, Monzeglio C . Diet-Gut Microbiota Interactions and Gestational Diabetes Mellitus (GDM). Nutrients. 2019; 11(2). PMC: 6413040. DOI: 10.3390/nu11020330. View

Hiltunen H, Collado M, Ollila H, Kolari T, Tolkko S, Isolauri E . Spontaneous preterm delivery is reflected in both early neonatal and maternal gut microbiota. Pediatr Res. 2021; 91(7):1804-1811. PMC: 9270225. DOI: 10.1038/s41390-021-01663-8. View

10.

Chia A, Chen L, Lai J, Wong C, Neelakantan N, Martinus van Dam R . Maternal Dietary Patterns and Birth Outcomes: A Systematic Review and Meta-Analysis. Adv Nutr. 2019; 10(4):685-695. PMC: 6628847. DOI: 10.1093/advances/nmy123. View

11.

Koren O, Goodrich J, Cullender T, Spor A, Laitinen K, Backhed H . Host remodeling of the gut microbiome and metabolic changes during pregnancy. Cell. 2012; 150(3):470-80. PMC: 3505857. DOI: 10.1016/j.cell.2012.07.008. View

12.

Bolyen E, Rideout J, Dillon M, Bokulich N, Abnet C, Al-Ghalith G . Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol. 2019; 37(8):852-857. PMC: 7015180. DOI: 10.1038/s41587-019-0209-9. View

13.

Clapp 3rd J . Maternal carbohydrate intake and pregnancy outcome. Proc Nutr Soc. 2002; 61(1):45-50. DOI: 10.1079/pns2001129. View

14.

Zhang C, Liu S, Solomon C, Hu F . Dietary fiber intake, dietary glycemic load, and the risk for gestational diabetes mellitus. Diabetes Care. 2006; 29(10):2223-30. DOI: 10.2337/dc06-0266. View

15.

Dalile B, Van Oudenhove L, Vervliet B, Verbeke K . The role of short-chain fatty acids in microbiota-gut-brain communication. Nat Rev Gastroenterol Hepatol. 2019; 16(8):461-478. DOI: 10.1038/s41575-019-0157-3. View

16.

Huang Y, Lee M, Pan W, Wahlqvist M . Validation of a simplified food frequency questionnaire as used in the Nutrition and Health Survey in Taiwan (NAHSIT) for the elderly. Asia Pac J Clin Nutr. 2011; 20(1):134-40. View

17.

Yu H, Tsai C, Chan J, Lee W, Wu K, Tain Y . A Higher Abundance of spp. in the Gut Is Associated with Spontaneous Preterm Birth. Microorganisms. 2023; 11(5). PMC: 10222247. DOI: 10.3390/microorganisms11051171. View

18.

Selma-Royo M, Garcia-Mantrana I, Calatayud M, Parra-Llorca A, Martinez-Costa C, Collado M . Maternal diet during pregnancy and intestinal markers are associated with early gut microbiota. Eur J Nutr. 2020; 60(3):1429-1442. DOI: 10.1007/s00394-020-02337-7. View

19.

Virwani P, Qian G, Hsu M, Pijarnvanit T, Cheung C, Chow Y . Sex Differences in Association Between Gut Microbiome and Essential Hypertension Based on Ambulatory Blood Pressure Monitoring. Hypertension. 2023; 80(6):1331-1342. PMC: 10191209. DOI: 10.1161/HYPERTENSIONAHA.122.20752. View

20.

Gough E, Edens T, Geum H, Baharmand I, Gill S, Robertson R . Maternal fecal microbiome predicts gestational age, birth weight and neonatal growth in rural Zimbabwe. EBioMedicine. 2021; 68:103421. PMC: 8217692. DOI: 10.1016/j.ebiom.2021.103421. View