Evidence map›Paper›PMID 39742335›Full record

ArticleFrontiers in cellular and infection microbiology2024

Metabarcoding analysis of oral microbiome during pregnancy.

Fatiha M Benslimane, Layla I Mohammed, Haya Abu-Hijleh, Sara Suleiman, Sonia Boughattas, Zain Zaki Zakaria, Eleni Fthenou, Maha Al-Asmakh

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
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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

8 authors.

Fatiha M BenslimaneBiomedical Research Center, Qatar University, Doha, Qatar.
Layla I MohammedBiomedical Research Center, Qatar University, Doha, Qatar.
Haya Abu-HijlehDepartment of Biomedical Sciences, College of Health Sciences, Qatar University (QU) Health, Qatar University, Doha, Qatar.
Sara SuleimanDepartment of Biomedical Sciences, College of Health Sciences, Qatar University (QU) Health, Qatar University, Doha, Qatar.
Sonia BoughattasBiomedical Research Center, Qatar University, Doha, Qatar.
Zain Zaki ZakariaVice President for Medical and Health Sciences Office, QU Health, Qatar University, Doha, Qatar.
Eleni FthenouQatar Biobank for Medical Research, Qatar Foundation, Doha, Qatar.
Maha Al-AsmakhBiomedical Research Center, Qatar University, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy is a dynamic physiological process involving significant hormonal, immune, and metabolic changes to support fetal growth and development. This study investigates the changes in salivary microbiome and biochemical markers from the second to the third trimester of pregnancy. Saliva samples were collected from 45 pregnant women enrolled in the Qatar Birth Cohort study at two time points (second and third trimesters). DNA was extracted and subjected to 16S rRNA gene sequencing using Oxford Nanopore Technology. Microbial diversity and taxonomic analyses were performed, along with correlation analyses between microbial abundance and clinical parameters. Biochemically, significant increases in BMI, pulse rate, HbA1c, LDL, total cholesterol, and triglycerides were observed in the third trimester compared to the second. Microbial diversity analysis revealed significant changes in microbial richness and composition. Taxonomy analysis showed a significant 3-fold increase in Bacteroidota. Also, a significant decline in

Indexed as

BacteriaMicrobiotaMouthRNA, Ribosomal, 16SSalivaAdultCohort StudiesDNA, BacterialDNA Barcoding, TaxonomicFemaleHumansPregnancyPregnancy Trimester, ThirdQatarYoung AdultDNA, BacterialRNA, Ribosomal, 16Sgut microbiotaoral microbiomeoxford nanopore sequencingpregnancyQatari birth cohort (QbiC)salivary microbiome

Identifiers

PMID39742335
PMCPMC11685078

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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.