Evidence map›Paper›PMID 40901000›Full record

ReviewFrontiers in cellular and infection microbiology2025

Neonatal microbiome dysbiosis decoded by mNGS: from mechanistic insights to precision interventions.

Fangjun Huang, Jiawen Li, Dengjun Liu, Yuling Li, Jun Tang

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Fangjun HuangDepartment of Neonatology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiawen LiDepartment of Neonatology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Dengjun LiuDepartment of Neonatology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Yuling LiDepartment of Neonatology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Jun TangDepartment of Neonatology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neonatal period is a critical stage for microbial colonization and immune system development, with dynamic changes in the microbiome closely linked to the pathogenesis of various diseases. Traditional microbiological testing methods have low sensitivity and time-consuming limitations compared to metagenomic next-generation sequencing (mNGS), which makes it difficult to meet the diagnostic and therapeutic needs of critically ill neonates. mNGS analyzes the total DNA in a sample without bias, allowing comprehensive identification of bacteria, viruses, fungi, and parasites, and resolution of functional genes, providing new avenues for precision diagnosis and treatment of diseases such as neonatal sepsis, necrotizing enterocolitis, neonatal pneumonia, neonatal meningitis, neonatal jaundice, and other diseases. However, challenges remain, including the need to optimize sample processing workflows and develop portable devices to enhance clinical conversion potential. In this review, we summarize the application, efficacy, and limitations of mNGS in neonatal diseases. This approach paves the way for novel avenues in mechanistic research, early diagnosis, and personalized therapy for these conditions.

Indexed as

DysbiosisHigh-Throughput Nucleotide SequencingInfant, Newborn, DiseasesMetagenomicsMicrobiotaHumansInfant, NewbornPrecision MedicinemNGSnecrotizing enterocolitisneonatal jaundiceneonatal meningitisneonatal pneumonianeonatal sepsis

Identifiers

PMID40901000
PMCPMC12399635

What OpenQuestion holds

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LicenceCC BY
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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.