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母体肠道微生物群与巨大儿之间的关联。

Association between the Maternal Gut Microbiome and Macrosomia.

作者信息

Zhong Zixin, An Rongjing, Ma Shujuan, Zhang Na, Zhang Xian, Chen Lizhang, Wu Xinrui, Lin Huijun, Xiang Tianyu, Tan Hongzhuan, Chen Mengshi

机构信息

Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410013, China.

Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410013, China.

出版信息

Biology (Basel). 2024 Jul 28;13(8):570. doi: 10.3390/biology13080570.

Abstract

Fetal macrosomia is defined as a birthweight ≥4000 g and causes harm to pregnant women and fetuses. Studies reported that the maternal intestinal microbiome plays a key role in the establishment, growth, and development of the fetal intestinal microbiome. However, whether there is a relationship between maternal gut microbiota and macrosomia remains unclear. Our study aimed to identify gut microbiota that may be related to the occurrence of macrosomia, explore the possible mechanisms by which it causes macrosomia, and establish a prediction model to determine the feasibility of predicting macrosomia by early maternal gut microbiota. We conducted a nested case-control study based on an early pregnancy cohort (ChiCTR1900020652) in the Maternity and Child Health Hospital of Hunan Province on fecal samples of 93 women (31 delivered macrosomia as the case group and 62 delivered normal birth weight newborns as the control group) collected and included in this study. We performed metagenomic analysis to compare the composition and function of the gut microbiome between cases and controls. Correlation analysis was used to explore the association of differential species and differential functional pathways. A random forest model was used to construct an early pregnancy prediction model for macrosomia. At the species level, there were more , , , and in the intestinal microbiome of macrosomias' mothers compared with mothers bearing fetuses that had normal birth weight. Functional pathways of the gut microbiome including gondoate biosynthesis, L-histidine degradation III, cis-vaccenate biosynthesis, L-arginine biosynthesis III, tRNA processing, and mannitol cycle, which were more abundant in the macrosomia group. Significant correlations were found between species and functional pathways. was significantly associated with the pathway of cis-vaccenate biosynthesis (r = 0.28, = 0.005) and gondoate biosynthesis (r = 0.28, < 0.001) and was positively associated with the pathway of cis-vaccenate biosynthesis (r = 0.29, = 0.005) and gondoate biosynthesis (r = 0.32, = 0.002). was significantly associated with the pathway of cis-vaccenate biosynthesis (r = 0.24, = 0.018), gondoate biosynthesis (r = 0.31, = 0.003), and L-histidine degradation III (r = 0.22, = 0.291). Finally, four differential species and four clinical indicators were included in the random forest model for predicting macrosomia. The areas under the working characteristic curves of the training and validation sets were 0.935 (95% CI: 0.8510.979) and 0.909 (95% CI: 0.6790.992), respectively. Maternal gut microbiota in early pregnancy may play an important role in the development of macrosomia and can be used as potential predictors to prevent macrosomia.

摘要

巨大胎儿定义为出生体重≥4000g,会对孕妇和胎儿造成伤害。研究报道,母体肠道微生物群在胎儿肠道微生物群的建立、生长和发育中起关键作用。然而,母体肠道微生物群与巨大胎儿之间是否存在关联仍不清楚。我们的研究旨在识别可能与巨大胎儿发生相关的肠道微生物群,探索其导致巨大胎儿的可能机制,并建立一个预测模型,以确定通过早期母体肠道微生物群预测巨大胎儿的可行性。我们基于湖南省妇幼保健院的一个早孕队列(ChiCTR1900020652)进行了一项巢式病例对照研究,对93名女性的粪便样本(31名分娩巨大胎儿的女性作为病例组,62名分娩正常出生体重新生儿的女性作为对照组)进行收集并纳入本研究。我们进行了宏基因组分析,以比较病例组和对照组肠道微生物群的组成和功能。采用相关性分析来探索差异物种和差异功能途径的关联。使用随机森林模型构建巨大胎儿的早孕预测模型。在物种水平上,与分娩出生体重正常胎儿的母亲相比,巨大胎儿母亲的肠道微生物群中 、 、 和 更多。肠道微生物群的功能途径包括龙胆酸盐生物合成、L-组氨酸降解III、顺式- vaccenate生物合成、L-精氨酸生物合成III、tRNA加工和甘露醇循环,在巨大胎儿组中更为丰富。发现物种与功能途径之间存在显著相关性。 与顺式- vaccenate生物合成途径(r = 0.28, = 0.005)和龙胆酸盐生物合成途径(r = 0.28, < 0.001)显著相关, 与顺式- vaccenate生物合成途径(r = 0.29, = 0.005)和龙胆酸盐生物合成途径(r = 0.32, = 0.002)呈正相关。 与顺式- vaccenate生物合成途径(r = 0.24, = 0.018)、龙胆酸盐生物合成途径(r = 0.31, = 0.003)和L-组氨酸降解III(r = 0.22, = 0.291)显著相关。最后,四个差异物种和四个临床指标被纳入预测巨大胎儿的随机森林模型。训练集和验证集的工作特征曲线下面积分别为0.935(95%CI:0.8510.979)和0.909(95%CI:0.6790.992)。早孕时母体肠道微生物群可能在巨大胎儿的发生中起重要作用,并可作为预防巨大胎儿的潜在预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b8/11351347/9fe6111ff004/biology-13-00570-g001.jpg

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