Evidence map›Paper›PMID 40142471›Full record

ArticleMicroorganisms2025

Gut Microbiota Alteration in Healthy Preterm Infants: An Observational Study from Tertiary Care Center in India.

Prabavathi Devarajalu, Jogender Kumar, Sourabh Dutta, Savita Verma Attri, Jayakanthan Kabeerdoss

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Prabavathi DevarajaluPediatric Biochemistry Unit, Department of Pediatrics, Post Graduate Institute of Medical Education & Research (PGIMER), Chandigarh 160012, India.
Jogender KumarNewborn Unit, Department of Pediatrics, Post Graduate Institute of Medical Education & Research (PGIMER), Chandigarh 160012, India.ORCID 0000-0002-0464-9689
Sourabh DuttaNewborn Unit, Department of Pediatrics, Post Graduate Institute of Medical Education & Research (PGIMER), Chandigarh 160012, India.
Savita Verma AttriPediatric Biochemistry Unit, Department of Pediatrics, Post Graduate Institute of Medical Education & Research (PGIMER), Chandigarh 160012, India.
Jayakanthan KabeerdossPediatric Biochemistry Unit, Department of Pediatrics, Post Graduate Institute of Medical Education & Research (PGIMER), Chandigarh 160012, India.ORCID 0000-0002-7852-6657

Funding

Department of Health Research R.12013/13/2022-HR
6 · The paper itself

Abstract

Various prenatal and postnatal factors such as gestational age, mode of delivery, sex, antibiotic exposure, feeding type, duration of feed and other exposures associated with the hospital environment can drive the formation of gut microbiota. In the current study, we examined the role of all these factors in the gut microbiota of healthy Indian preterm infants admitted to NICU in the first four weeks of life. Preterm neonates admitted to the NICU from April 2023 and October 2023 were recruited and fecal samples were collected weekly once beginning from the seventh day till the 30th day of life. 16s rRNA gene sequencing was performed on the NovaSeq 6000 platform. The PICRUSt2 tool was used to predict the functional profiles of the gut microbiome. A total of 61 samples were collected from 16 preterm infants. Alpha and beta diversity showed the administration of probiotics, postnatal age, mode of delivery, and sex of infants as major contributors to altered microbial diversity in preterm infants. The MaAsLin2 analysis showed that the supplementation of probiotics increased

Indexed as

16S rRNA gene sequencingcalprotectingestational agegutIndiamicrobiotamode of deliveryNICUpostnatal agepreterm infantsprobioticssex

Identifiers

PMID40142471
PMCPMC11944540

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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.