Evidence map›Paper›PMID 39550746›Full record

ArticleFolia microbiologica2025

Role of gut microbiome in developing necrotizing enterocolitis.

Cevher Karaca, Hatice Aysun Mercimek Takcı

Abstract read
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In one paragraph

Article in Folia microbiologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  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

2 authors.

Cevher KaracaInstitute of Graduate Studies, Kilis 7, Aralık University, Kilis, 79000, Turkey.
Hatice Aysun Mercimek TakcıDepartment of Molecular Biology and Genetics, Faculty of Sciences, Kilis 7, Aralık University, Kilis, 79000, Turkey. aysunmercimek@kilis.edu.tr.ORCID http://orcid.org/0000-0002-5394-4959

Funding

Kilis 7 Aralık University of Research Project Committee 21-13192
6 · The paper itself

Abstract

Necrotizing enterocolitis (NEC) is one of the most devastating intestinal diseases observed in preterm in the first days of life. Researchers have recently focused on potential predictive biomarkers for early and concomitant diagnoses. Thus, we inquired about the linkage of intestinal dysbiosis, one of the most important factors in NEC development to the gut microbiota. In this study, the systematic differences in the bacterial composition between neonates affected by NEC and healthy newborns were highlighted by metagenomic analysis. The next-generation sequencing of the V3-V4 variable region of the 16S rRNA gene and gene-specific qPCR analyzed the untargeted gut microbiota. Total bacteria, total and fecal coliform loads in stool samples with NEC were higher than control. OTU-level relative abundances of NEC infant was characterized by Firmicutes and Bacteroidetes at phylum levels. At the genus level, NEC stool was identified by the lack of Klebsiella and the presence of Roseburia, Blautia, and Parasutterella. Finally, Clostridium fessum was the predominant species of Clostridium genus in disease and healthy specimens at the species level, whereas Clostridium jeddahitimonense was at NEC diagnosis. Despite a strong relationship between pathophysiology and characterization of gut microbiota at a clinical diagnosis of NEC, our results emphasize the broad difficulty in identifying potential biomarkers.

Indexed as

BacteriaEnterocolitis, NecrotizingGastrointestinal MicrobiomeDNA, BacterialDysbiosisFecesFemaleHigh-Throughput Nucleotide SequencingHumansInfant, NewbornMaleMetagenomicsRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16SBiomarkersGut microbiotaMicrobial pathogenesisNecrotizing enterocolitisPreterm infants

Identifiers

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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 OpenQuestion graph.