Evidence map›Paper›PMID 38650647›Full record

ArticlePeerJ2024

Non-significant influence between aerobic and anaerobic sample transport materials on gut (fecal) microbiota in healthy and fat-metabolic disorder Thai adults.

Naruemon Tunsakul, Lampet Wongsaroj, Kantima Janchot, Krit Pongpirul, Naraporn Somboonna

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. MaternalComputational and structural biotechnology journal · 2025
    Article
  9. Review
  10. Article
  11. 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

5 authors.

Naruemon TunsakulProgram in Biotechnology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Lampet WongsarojDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Kantima JanchotCenter of Excellence in Preventive and Integrative Medicine (CE-PIM) and Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Krit PongpirulCenter of Excellence in Preventive and Integrative Medicine (CE-PIM) and Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0003-3818-9761
Naraporn SomboonnaDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.

Funding

90th Anniversary of Chulalongkorn University ScholarshipMulti-Omics for Functional Products in Food, Cosmetics and Animals Research Unit of Chulalongkorn UniversityThailand Science Research and InnovationThailand Science Research and Innovation Fund Chulalongkorn University
6 · The paper itself

Abstract

Background: The appropriate sample handling for human fecal microbiota studies is essential to prevent changes in bacterial composition and quantities that could lead to misinterpretation of the data. Methods: This study firstly identified the potential effect of aerobic and anaerobic fecal sample collection and transport materials on microbiota and quantitative microbiota in healthy and fat-metabolic disorder Thai adults aged 23-43 years. We employed metagenomics followed by 16S rRNA gene sequencing and 16S rRNA gene qPCR, to analyze taxonomic composition, alpha diversity, beta diversity, bacterial quantification, Pearson's correlation with clinical factors for fat-metabolic disorder, and the microbial community and species potential metabolic functions. Results: Our study successfully obtained microbiota results in percent and quantitative compositions. Each sample exhibited quality sequences with a >99% Good's coverage index, and a relatively plateau rarefaction curve. Alpha diversity indices showed no statistical difference in percent and quantitative microbiota OTU richness and evenness, between aerobic and anaerobic sample transport materials. Obligate and facultative anaerobic species were analyzed and no statistical difference was observed. Supportively, the beta diversity analysis by non-metric multidimensional scale (NMDS) constructed using various beta diversity coefficients showed resembling microbiota community structures between aerobic and anaerobic sample transport groups (

Indexed as

FecesGastrointestinal MicrobiomeRNA, Ribosomal, 16SAdultAerobiosisAnaerobiosisFemaleHumansMaleMetagenomicsSoutheast Asian PeopleSpecimen HandlingThailandYoung AdultRNA, Ribosomal, 16S16S rRNA gene sequencingAerobic and anaerobic sample transportBacteria diversityFat-metabolic diseaseFecalHuman gut microbiomeMicrobiota

Identifiers

PMID38650647
PMCPMC11034497

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.