Evidence map›Paper›PMID 39234066›Full record

ArticleData in brief2024

16S rRNA gene amplicon sequencing data from the gut microbiota of adolescent Afghan refugees.

Muhammad Shahzad, Anum Saeedullah, Muhammad Shabbir Khan, Habab Ali Ahmad, Ishawu Iddrissu, Simon C Andrews

Abstract read
In one paragraph

Article in Data in brief, 2024. 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. 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

6 authors.

Muhammad ShahzadFaculty of Dentistry, Zarqa University, Jordan.
Anum SaeedullahInstitute of Basic Medical Sciences, Khyber Medical University Peshawar, Pakistan.
Muhammad Shabbir KhanInstitute of Basic Medical Sciences, Khyber Medical University Peshawar, Pakistan.
Habab Ali AhmadDepartment of Biomedical Sciences, Pak-Austria Fachhochschule Institute of Applied Science and Technology (PAF-IAST), Haripur, Pakistan.
Ishawu IddrissuSchool of Biological Sciences, Health and Life Sciences Building, University of Reading, Reading, RG6 6EX, United Kingdom.
Simon C AndrewsSchool of Biological Sciences, Health and Life Sciences Building, University of Reading, Reading, RG6 6EX, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota residing in the distal ileum and colon is the most complex, diverse, and densest microbial ecosystem in the human body. Despite its known role in human health and disease, gut microbiome diversity and function are rarely explored in vulnerable populations such as refugees. The current study aimed to explore gut microbiota diversity and sources of variation among adolescent Afghan refugees residing in Peshawar, Pakistan. Stool samples were collected from 10 - 18 years old, healthy adolescents (n=205) for 16S rRNA gene sequence (V4-V5 hypervariable region) analysis on isolated faecal DNA. Bioinformatics analyses were performed using Kraken2, Bracken and Phyloseq. The data presented here will allow researchers to profile the gut microbiota of this rarely explored, vulnerable population who are at high risk of food insecurity and malnutrition. The data can be used to provide insight on the impact of demographic characteristics, dietary intake, nutritional status, and health on gut microbiome diversity, and enables a comparative analysis with similar data sets from other population groups of relevance. The amplicon sequencing data are deposited in the NCBI Sequence Read Archive as BioProject PRJNA1105775.

Indexed as

AdolescentsGut microbiomeHealthNutritional statusRefugees

Identifiers

PMID39234066
PMCPMC11372392

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.