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1.
Sci Rep ; 14(1): 6891, 2024 03 22.
Article in English | MEDLINE | ID: mdl-38519592

ABSTRACT

The study addressed a significant gap in the profiling and understanding of the gut microbiota's influence on Malaysian Malay women with gestational diabetes mellitus (GDM). This prospective cohort study aimed to explore the intricate relationship between gut microbiota, dietary choices, and lifestyle factors among Malay women, both with and without GDM. The research specifically focused on participants during the second (T0) and third (T1) trimesters of pregnancy in Johor Bahru, Malaysia. In Part 1 of the study, a diverse pool of pregnant women at T0 was categorized into two groups: those diagnosed with GDM and those without GDM, with a total sample size of 105 individuals. The assessments encompassed demographic, clinical, lifestyle, and dietary factors at the T0 and T1 trimesters. Part 2 of the study delved into microbiome analysis, targeting a better understanding of the gut microbiota among the participants. Stool samples were randomly collected from 50% of the individuals in each group (GDM and non-GDM) at T0 and T1. The collected samples underwent processing, and 16s rRNA metagenomic analysis was employed to study the microbial composition. The results suggested an association between elevated body weight and glucose levels, poor sleep quality, lack of physical activity, greater intake of iron and meat, and reduced fruit consumption among women with GDM compared to non-GDM groups. The microbiome analysis revealed changes in microbial composition over time, with reduced diversity observed in the GDM group during the third trimester. The genera Lactiplantibacillus, Parvibacter, Prevotellaceae UCG001, and Vagococcus positively correlated with physical activity levels in GDM women in the second trimester. Similarly, the genus Victivallis exhibited a strong positive correlation with gravida and parity. On the contrary, the genus Bacteroides and Roseburia showed a negative correlation with omega-3 polyunsaturated fatty acids (PUFAs) in women without GDM in the third trimester. The study highlighted the multifaceted nature of GDM, involving a combination of lifestyle factors, dietary choices, and changes in gut microbiota composition. The findings emphasized the importance of considering these interconnected elements in understanding and managing gestational diabetes among Malaysian Malay women. Further exploration is essential to comprehend the mechanisms underlying this relationship and develop targeted interventions for effective GDM management.


Subject(s)
Diabetes, Gestational , Gastrointestinal Microbiome , Pregnancy , Humans , Female , Diabetes, Gestational/diagnosis , Gastrointestinal Microbiome/genetics , Prospective Studies , RNA, Ribosomal, 16S/genetics , Diet , Life Style
2.
Birth ; 51(3): 620-628, 2024 Sep.
Article in English | MEDLINE | ID: mdl-38475673

ABSTRACT

BACKGROUND: Small for gestational age (SGA) and large for gestational age (LGA) are designations given to neonates based solely on birthweight, with no distinction made for maternal height. However, there is a possibility that maternal height is significantly correlated with neonatal birthweight, and if so, SGA and LGA cutoffs specific to maternal height may be a more precise and useful tool for clinicians. To explore this possibility, we analyzed the association between maternal height and ethnicity and neonate birthweight in women with low-risk, 37- to 40-week gestation, singleton pregnancies who gave birth vaginally between 2010 and 2017 (n = 354,488). For this retrospective cohort study, we used electronic obstetric records obtained from the National Obstetrics Registry in Malaysia. METHODS: National Obstetric Registry (NOR) data were used to calculate the 10th and 90th birthweight percentiles for each maternal height group by gestational age and neonatal sex. Multiple linear regression models, adjusted for maternal age, weight, parity, gestational age, and neonatal sex, were used to examine the association between neonate birthweight and maternal ethnicity and height. The following main outcome measures were assessed: small for gestational age (<10th percentile), large for gestational age (>90th percentile), and birthweight. RESULTS: The median height was 155 cm (IQR, 152-159), with mothers of Chinese descent being the tallest (median (IQR): 158 cm (154-162)) and mothers of Orang Asli (Indigenous) descent the shortest (median (IQR): 151 cm (147-155)). The median birthweight was 3000 g (IQR, 2740-3250), with mothers of Malay and Chinese ethnicity and Others having, on average, the heaviest babies, followed by other Bumiputeras (indigenous) mothers, mothers of Indian ethnicity, and lastly, mothers of Orang Asli ethnicity. For infants, maternal age, height, weight, parity, male sex, and gestational age were positively associated with birthweight. Maternal height had a positive association with neonate birthweight (B = 7.08, 95% CI: 6.85-7.31). For ethnicity, compared with neonates of Malay ethnicity, neonates of Chinese, Indian, Orang Asli, and other Bumiputera ethnicities had lower birthweights. CONCLUSION: Birthweight increases with maternal height among Malaysians of all ethnicities. SGA and LGA cutoffs specific to maternal height may be useful to guide pregnancy management.


Subject(s)
Birth Weight , Body Height , Ethnicity , Gestational Age , Infant, Small for Gestational Age , Humans , Female , Malaysia , Retrospective Studies , Pregnancy , Infant, Newborn , Adult , Ethnicity/statistics & numerical data , Male , Delivery, Obstetric/statistics & numerical data , Delivery, Obstetric/methods , Linear Models , Term Birth , Young Adult , Registries
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