Zhou Yingyu, Zhou Kejun, Lin Xiaoping, Wei Yuanhuan, Ma Bingjie, Lu Shaomin, Xie Guoxiang, Zhang Zheqing, Liang Jingjing
Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.
Human Metabolomics Institute, Inc., Shenzhen, China.
Transl Pediatr. 2023 Jul 31;12(7):1292-1304. doi: 10.21037/tp-22-610. Epub 2023 Jun 29.
Little is known about how the gut microbiota and metabolic profiles are related to cognitive outcomes in young children until now. It was hypothesized that the gut microbiota, the plasma and fecal metabolites significantly correlated with intelligence quotient (IQ) in school-age children in current study.
This cross-sectional study enrolled 452 children aged 6-9 years old. IQ was measured using the Wechsler Intelligence Scale for Children-Fourth Edition. Fecal microbiota, plasma and fecal metabolites were analyzed using 16S rRNA amplicon sequencing and targeted metabolomic technologies, respectively.
Restricted maximum likelihood (REML) analyses showed that microbiota composition and fecal metabolites were associated with neither subscale nor full-scale IQ (P: 0.059-0.500). However, plasma metabolites were significantly correlated with the processing speed (P=0.008). In multiple regression analysis after adjusting for confounders and multiple test correction, benzoic acid, azelaic acid, adipic acid, suberic acid and malonic acid selected by the multivariate methods with unbiased variable selection were positively associated with processing speed index (PSI) [P: 0.006-0.024], whereas pyruvic acid was negatively associated with the PSI and full-scale IQ (P: 0.014-0.030).
In normal school-age children, certain plasma metabolites concentrations but not the gut microbiota composition nor fecal metabolites are correlated with intelligence.
迄今为止,关于肠道微生物群和代谢谱如何与幼儿认知结果相关的了解甚少。在本研究中,我们假设肠道微生物群、血浆和粪便代谢物与学龄儿童的智商(IQ)显著相关。
这项横断面研究纳入了452名6至9岁的儿童。使用韦氏儿童智力量表第四版测量智商。分别使用16S rRNA扩增子测序和靶向代谢组学技术分析粪便微生物群、血浆和粪便代谢物。
限制最大似然法(REML)分析表明,微生物群组成和粪便代谢物与子量表智商或全量表智商均无关联(P值为0.059至0.500)。然而,血浆代谢物与处理速度显著相关(P = 0.008)。在调整混杂因素并进行多重检验校正后的多元回归分析中,通过无偏变量选择的多变量方法选择的苯甲酸、壬二酸、己二酸、辛二酸和丙二酸与处理速度指数(PSI)呈正相关[P值为0.006至0.024],而丙酮酸与PSI和全量表智商呈负相关(P值为0.014至0.030)。
在正常学龄儿童中,某些血浆代谢物浓度与智力相关,而肠道微生物群组成和粪便代谢物则不然。