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Updated: May 20, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Comparative analysis of gut microbiota in metabolic syndrome and obese children from Southeastern China
Jingjing Wang1,2, Peifeng Zhuang1,3, Bin Lin2
1Ningde Municipal Hospital, Ningde Clinical Medical College of Fujian Medical University, Fuzhou, China.
Insights
Childhood obesity and metabolic syndrome (MS) are linked to altered gut bacteria. MS patients showed distinct microbial differences, and microbiota from obese/MS children worsened liver health in mice.
Area of Science:
- Microbiology
- Pediatric Endocrinology
- Metabolic Disorders
Background:
- Childhood obesity is a growing global health concern.
- Some obese children develop metabolic syndrome (MS), but differences remain unclear.
- Gut microbiota alterations are implicated in metabolic diseases.
Purpose of the Study:
- To investigate gut microbiota differences in children with varying obesity levels and MS.
- To explore the impact of gut microbiota on metabolic parameters and liver health.
Main Methods:
- 16S rRNA sequencing of gut microbiota in 32 children (normal-weight, mild, moderate, severe obesity, MS).
- Physiological and biochemical assessments (waist circumference, lipids, liver enzymes).
- Gavage experiments in mice using microbiota from human subjects.
Main Results:
- MS and obese children had elevated triglycerides, cholesterol, non-HDL, and fatty liver prevalence.
- Gut microbiota alpha diversity increased with weight; beta diversity differed significantly in MS.
- Microbiota from obese/MS children worsened lipid profiles and liver health in mice; normal-weight microbiota improved them.
Conclusions:
- Gut microbiota composition significantly differs between normal-weight, obese, and MS children.
- Microbiota from obese and MS children contribute to metabolic dysfunction and liver damage.
- Targeting gut microbiota may offer therapeutic strategies for pediatric obesity and MS.
Abstract:
The prevalence of childhood obesity is rising globally, with some obese children progressing to develop metabolic syndrome (MS). However, the specific differences between these groups remain unclear. To investigate the differences in gut microbiota, we conducted physiological and biochemical assessments, alongside 16S rRNA sequencing, in a cohort of 32 children from Southeastern China, which included 4 normal-weight children, 5 with mild obesity, 9 with moderate obesity, 9 with severe obesity, and 5 with metabolic syndrome. Our results indicated that waist circumference, serum triglycerides, total cholesterol, non-HDL levels, and the prevalence of fatty liver were significantly elevated in both obese and MS children compared to their normal-weight peers, with the MS group exhibiting more pronounced abnormalities. Conversely, HDL levels showed a contrasting trend. Additionally, alpha diversity of gut microbiota increased with weight, while beta diversity analysis revealed significant compositional differences between children with MS and those who were normal weight or obese. At the class and genus levels, we found that the relative abundance of c_Gammaproteobacteria increased with weight, whereas c_Bacteroidia and g_Bacteroides decreased. Notably, g_Faecalibacterium was significantly less abundant in the MS group compared to the other cohorts. LEfSe and functional analyses identified distinct gut microbiota and functional differences between children with MS and those with normal weight or obesity. Furthermore, gavage experiments in mice showed that gut microbiota from obese and MS subjects significantly increased serum triglycerides and cholesterol levels, leading to hepatocellular damage. In contrast, fecal gavage from normal-weight individuals into obese model mice significantly reduced serum triglycerides and the number of degenerative liver cells, as well as the extent of fat accumulation. These findings provide critical insights into the understanding and management of obesity and metabolic syndrome in pediatric populations.
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