Evidence map›Paper›PMID 42032992›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2025

[Comparison of 16S rRNA gene hypervariable regions V3-V4 and V4 sequencing results of gut microbiota in obese children with non-alcoholic fatty liver disease].

Zhihang Huang, Jia Wei, Jiayou Luo, Xiongfeng Pan, Cailian Wei, Yang Zhou, Shujuan Xiao, Ning'an Xu, Yan Zhong, Miyang Luo

Abstract readComparative StudyEnglish Abstract
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. [Associations of candidate gene polymorphisms, gut microbiota, and their interactions with NAFLD in obese children].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Zhihang HuangDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410013. h15759389298@163.com.
Jia WeiDepartment of Maternal and Children Care, Xiangya School of Public Health, Central South University, Changsha 410013.
Jiayou LuoDepartment of Maternal and Children Care, Xiangya School of Public Health, Central South University, Changsha 410013.
Xiongfeng PanPediatrics Research Institute, Hunan Children's Hospital, Changsha 410007.
Cailian WeiDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410013.
Yang ZhouDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410013.
Shujuan XiaoDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410013.
Ning'an XuDepartment of Children Care, Hunan Children's Hospital, Changsha 410007, China.
Yan ZhongDepartment of Children Care, Hunan Children's Hospital, Changsha 410007, China.
Miyang LuoDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410013. miyangluo@csu.edu.cn.

Funding

the Natural Science Foundation of Hunan Province 2022JJ40668
6 · The paper itself

Abstract

objectives16S rRNA gene sequencing is an important method for studying microbial structure in samples. However, whether selecting different hypervariable regions for sequencing in the same sample affects the results remains unclear. This study aims to compare the sequencing results of 16S rRNA gene hypervariable regions V3 to V4 and V4 in children with obesity-related non-alcoholic fatty liver disease (NAFLD), and to provide evidence for scientifically evaluating gut microbiota detection results in obese children with NAFLD.

methodsObese children with NAFLD and children with simple obesity who visited Hunan Children's Hospital between January 2019 and September 2021 were selected as study subjects. Fecal samples were collected, and total DNA was extracted. After PCR amplification of the gut microbiota V3 to V4 region and V4 region, sequencing was performed. α-diversity, β-diversity, and microbial community structure differences between the 2 hypervariable regions were compared. Seven samples were selected for metagenomic sequencing as the gold standard to evaluate the performance of V3 to V4 and V4 region sequencing.

resultsA total of 145 participants were included, including 92 in the case group and 53 in the control group. The number of operational taxonomic units (OTUs) obtained by V3 to V4 sequencing (16 977) was higher than that obtained by V4 sequencing (3 362). α-diversity analysis showed that in the overall population, the Shannon index (5.49±1.11) and Chao1 index (1 843.04±580.78) in the V3 to V4 region were higher than the Shannon index (4.98±0.65) and Chao1 index (379.59±47.27) in the V4 region (all

conclusionsSequencing of the V3 to V4 and V4 regions of the 16S rRNA gene affects the results of gut microbiota structure analysis in obese children. The V3 to V4 region is more likely to detect differential taxa between case and control groups and provides a more accurate estimation of α-diversity. It may therefore be considered a preferred region for gut microbiota sequencing in children with NAFLD. However, there is currently no unified standard for selecting V regions in 16S rRNA gene sequencing, and the detection region and method should be selected comprehensively according to research objectives and sample characteristics.

Indexed as

Gastrointestinal MicrobiomeNon-alcoholic Fatty Liver DiseasePediatric ObesityRNA, Ribosomal, 16SChildFecesFemaleHumansMaleSequence Analysis, DNARNA, Ribosomal, 16S16S rRNA gene sequencinggut microbiotametagenomic sequencingnon-alcoholic fatty liver disease in obese childrenV3 to V4 regionV4 region

Identifiers

PMID42032992
PMCPMC12989438

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.