关键词: 16S rDNA sequencing Body mass index Childhood obesity Diversity analysis Genus identification Gut microbiota

Mesh : Humans Gastrointestinal Microbiome Pediatric Obesity / microbiology diagnosis Child RNA, Ribosomal, 16S / genetics Male Female Feces / microbiology Body Mass Index Case-Control Studies Bacteria / genetics isolation & purification classification DNA, Bacterial / isolation & purification analysis genetics

来  源:   DOI:10.3748/wjg.v30.i16.2249   PDF(Pubmed)

Abstract:
BACKGROUND: This study aimed to identify characteristic gut genera in obese and normal-weight children (8-12 years old) using 16S rDNA sequencing. The research aimed to provide insights for mechanistic studies and prevention strategies for childhood obesity. Thirty normal-weight and thirty age- and sex-matched obese children were included. Questionnaires and body measurements were collected, and fecal samples underwent 16S rDNA sequencing. Significant differences in body mass index (BMI) and body-fat percentage were observed between the groups. Analysis of gut microbiota diversity revealed lower α-diversity in obese children. Di-fferences in gut microbiota composition were found between the two groups. Prevotella and Firmicutes were more abundant in the obese group, while Bacteroides and Sanguibacteroides were more prevalent in the control group.
OBJECTIVE: To identify the characteristic gut genera in obese and normal-weight children (8-12-year-old) using 16S rDNA sequencing, and provide a basis for subsequent mechanistic studies and prevention strategies for childhood obesity.
METHODS: Thirty each normal-weight, 1:1 matched for age and sex, and obese children, with an obese status from 2020 to 2022, were included in the control and obese groups, respectively. Basic information was collected through questionnaires and body measurements were obtained from both obese and normal-weight children. Fecal samples were collected from both groups and subjected to 16S rDNA sequencing using an Illumina MiSeq sequencing platform for gut microbiota diversity analysis.
RESULTS: Significant differences in BMI and body-fat percentage were observed between the two groups. The Ace and Chao1 indices were significantly lower in the obese group than those in the control group, whereas differences were not significant in the Shannon and Simpson indices. Kruskal-Wallis tests indicated significant differences in unweighted and weighted UniFrac distances between the gut microbiota of normal-weight and obese children (P < 0.01), suggesting substantial disparities in both the species and quantity of gut microbiota between the two groups. Prevotella, Firmicutes, Bacteroides, and Sanguibacteroides were more abundant in the obese and control groups, respectively. Heatmap results demonstrated significant differences in the gut microbiota composition between obese and normal-weight children.
CONCLUSIONS: Obese children exhibited lower α-diversity in their gut microbiota than did the normal-weight children. Significant differences were observed in the composition of gut microbiota between obese and normal-weight children.
摘要:
背景:这项研究旨在通过16SrDNA测序来鉴定肥胖和正常体重儿童(8-12岁)的特征性肠道属。该研究旨在为儿童肥胖的机制研究和预防策略提供见解。包括30名正常体重和30名年龄和性别匹配的肥胖儿童。收集问卷和身体测量,和粪便样本进行16SrDNA测序。两组之间的体重指数(BMI)和体脂百分比存在显着差异。对肠道菌群多样性的分析显示,肥胖儿童的α多样性较低。在两组之间发现了肠道微生物群组成的差异。普雷沃氏菌和Firmicutes在肥胖组中更丰富,而类杆菌和类杆菌在对照组中更为普遍。
目的:使用16SrDNA测序技术鉴定肥胖和正常体重儿童(8-12岁)的特征性肠属,并为后续儿童肥胖的机制研究和预防策略提供依据。
方法:每个正常体重30,1:1匹配的年龄和性别,肥胖儿童,从2020年到2022年为肥胖状态,被纳入对照组和肥胖组,分别。通过问卷调查收集基本信息,并从肥胖和正常体重儿童获得身体测量值。从两组收集粪便样品并使用IlluminaMiSeq测序平台进行16SrDNA测序以进行肠道微生物群多样性分析。
结果:两组的BMI和体脂百分比存在显著差异。肥胖组Ace和Chao1指数明显低于对照组,而Shannon和Simpson指数差异不显著。Kruskal-Wallis检验表明,正常体重和肥胖儿童的肠道微生物群之间的未加权和加权UniFrac距离存在显着差异(P<0.01)。这表明两组之间肠道微生物群的种类和数量存在巨大差异。普雷沃氏菌,Firmicutes,拟杆菌,在肥胖组和对照组中,杆菌属的含量更高,分别。热图结果显示,肥胖儿童和正常体重儿童之间的肠道微生物群组成存在显着差异。
结论:肥胖儿童的肠道菌群表现出比正常体重儿童低的α-多样性。肥胖和正常体重儿童的肠道菌群组成存在显着差异。
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