Evidence map›Paper›PMID 42199424›Full record

ArticleFrontiers in immunology2026

Multi-omics analyses reveal significant differences in the gut microbiota and metabolites in children with Kawasaki disease in Northwest China.

Liangtao Zhao, Qi Wang, Juanjuan Chen, Jin Wang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Liangtao ZhaoCuiying Biomedical Research Center, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Qi WangCuiying Biomedical Research Center, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Juanjuan ChenCuiying Biomedical Research Center, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Jin WangDepartment of Pediatric Cardiovascular, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kawasaki disease (KD) is a systemic vasculitis characterized by mucocutaneous lymph node syndrome and aberrant immune activation. Previous studies have indicated substantial disruptions in the gut microbiota during the acute phase of KD. However, the detailed characteristics of the gut microbiota and metabolome in children with KD, as well as their clinical relevance, remain poorly understood. Methods: 31 children with KD (KDs) and age/sex-matched healthy controls (HCs) were enrolled to collect their fecal and blood samples. Shotgun metagenomic sequencing and untargeted metabolomic analyses were conducted on these samples. Results: Significant reductions in alpha diversity and microbial richness were observed in the gut microbiota of KDs at both species and genus levels. Pathogenic species including Conclusions: This study represents the first systematic multi-omics investigation of KD in a pediatric population from Northwest China. It establishes a foundational resource characterizing the gut microbiome and metabolome in KD, offering novel biological insights, suggesting potential therapeutic targets, and supporting further mechanistic and clinical research.

Indexed as

Gastrointestinal MicrobiomeMetabolomeMucocutaneous Lymph Node SyndromeBacteriaChildChild, PreschoolChinaFecesFemaleHumansInfantMaleMetabolomicsMetagenomicsMultiomicsgut microbiotaKawasaki diseasemetabolomicsNorthwest ChinaSCFATryptophan metabolisms

Identifiers

PMID42199424
PMCPMC13199117

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.