Cited by 11Gut microbiota and healthGastrointestinal motility and disordersChild Nutrition and Feeding Issues

Using 16S rDNA and metagenomic sequencing technology to analyze the fecal microbiome of children with avoidant/restrictive food intake disorder

Open access
Ye, Qina, Sun, Shaodan, Deng, Jian, Chen, Xiaogang, Zhang, Jing, Lin, Suihua, Du, Hongxuan, Gao, Jinxiong +4 more·2023·Scientific Reports

Published version of a preprint

Abstract

To investigate the gut microbiota distribution and its functions in children with avoidant/restrictive food intake disorder (ARFID). A total of 135 children were enrolled in the study, including 102 children with ARFID and 33 healthy children. Fecal samples were analyzed to explore differences in gut microbiota composition and diversity and functional differences between the ARFID and healthy control (HC) groups via 16S rDNA and metagenomic sequencing. The gut microbiota composition and diversity in children with ARFID were different from those in heathy children, but there is no difference in the composition and diversity of gut microbiota between children at the age of 3–6 and 7–12 with ARFID. At the phylum level, the most abundant microbes in the two groups identified by 16S rDNA and metagenomic sequencing were the same. At the genus level, the abundance of Bacteroides was higher in the ARFID group ( P > 0.05); however, different from the result of 16SrDNA sequencing, metagenomic sequencing showed that the abundance of Bacteroides in the ARFID group was significantly higher than that in the HC group ( P = 0.041). At the species level, Escherichia coli, Streptococcus thermophilus and Lachnospira eligens were the most abundant taxa in the ARFID group, and Prevotella copri , Bifidobacterium pseudocatenulatum , and Ruminococcus gnavus were the top three microbial taxa in the HC group; there were no statistically significant differences between the abundance of these microbial taxa in the two groups. LefSe analysis indicated a greater abundance of the order Enterobacterales and its corresponding family Enterobacteriaceae, the family Bacteroidaceae and corresponding genus Bacteroides, the species Bacteroides vulgatus in ARFID group, while the abundance of the phylum Actinobacteriota and its corresponding class Actinobacteria , the order Bifidobacteriales and corresponding family Bifidobacteriaceae , the genus Bifidobacterium were enriched in the HC group. There were no statistically significant differences in the Chao1, Shannon and Simpson indices between the Y1 and Y2 groups ( P = 0.1, P = 0.06, P = 0.06). At the phylum level, Bacillota, Bacteroidota, Proteobacteria and Actinobacteriota were the most abundant taxa in both groups, but there were no statistically significant differences among the abundance of these bacteria ( P = 0.958, P = 0.456, P = 0.473, P = 0.065). At the genus level, Faecalibacterium was more abundant in the Y2 group than in the Y1 group, and the difference was statistically significant ( P = 0.037). The KEGG annotation results showed no significant difference in gut microbiota function between children with ARFID and healthy children; however, GT26 was significantly enriched in children with ARFID based on the CAZy database. The most abundant antibiotic resistance genes in the ARFID group were the vanT, tetQ, adeF, ermF genes, and the abundance of macrolide resistance genes in the ARFID group was significantly higher than that in the HC group ( P = 0.041). Compared with healthy children, children with ARFID have a different distribution of the gut microbiota and functional genes. This indicates that the gut microbiome might play an important role in the pathogenesis of ARFID. Clinical trial registration : ChiCTR2300074759

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-023-47760-y

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. [25]Seitz J Trinh S Herpertz-Dahlmann B The microbiome and eating disorders Psychiatr Clin North Am 2019 42 93 103 10.1016/j.psc.2018.10.004 30704642 · DOI
  2. [27]Herpertz-Dahlmann B Seitz J Baines J Food matters: How the microbiome and gut-brain interaction might impact the development and course of anorexia nervosa Eur. Child Adolesc. Psychiatry 2017 26 9 1031 1041 10.1007/s00787-017-0945-7 28144744 PMC5591351 · DOI

Cited by

Sorted by citations

Authors
Ye, Q., Sun, S., Deng, J., Chen, X., Zhang, J., Lin, S., Du, H., Gao, J., Zou, X., Lin, X., Cai, Y., & Lu, Z.
Affiliations
  • Guangzhou University of Chinese Medicine (CN)
  • Guangzhou Women and Children Medical Center (CN)
  • First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN)
Corresponding author
Lu, Zhuoming
Venue
Scientific Reports
Published
2023-11-20
Volume
13
Issue
1
Pages
20253-20253
ISSN
2045-2322 (ISSN-L)
OpenAlex
W4388833572
Cited by
11
References
61
Citations by year
2026: 5 · 2025: 3 · 2024: 3
FWCI
0.98
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by-nc-nd)
  • Research Square (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
  • Health Sciences › Medicine › Psychiatry and Mental health › Child Nutrition and Feeding Issues
Keywords
avoidant/restrictive food intake disorder, gut microbiota, fecal microbiota, children, Bacteroides, Bacteroides vulgatus, Bifidobacterium, Enterobacteriaceae, microbial diversity, age differences, Prevotella copri, Ruminococcus gnavus, functional metagenomics
MeSH terms
Avoidant Restrictive Food Intake Disorder, Anti-Bacterial Agents, Bacteria, Child, Eating, Humans, RNA, Ribosomal, 16S, Macrolides, Drug Resistance, Bacterial, Actinobacteria, Microbiota

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review