Evidence map›Paper›PMID 40871265›Full record

ArticleMicroorganisms2025

Multi-Omics Reveals Aberrant Phenotypes of Respiratory Microbiome and Phospholipidomics Associated with Asthma-Related Inflammation.

Huan Liu, Zemin Li, Xu Zhang, Jiang-Chao Zhao, Jianmin Chai, Chun Chang

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Huan LiuDepartment of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China.
Zemin LiDepartment of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China.
Xu ZhangTianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin 301700, China.
Jiang-Chao ZhaoDepartment of Animal Science, Division of Agriculture, University of Arkansas, Fayetteville, AR 72701, USA.ORCID 0000-0002-2894-8560
Jianmin ChaiGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan 528011, China.ORCID 0000-0001-9341-9932
Chun ChangDepartment of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China.

Funding

Clinical Major Program of Peking University Third Hospital BYSYZD2023009General Program of Beijing Municipal Natural Science Foundation 7232205National Natural Science Foundation of China 81970028 and 82370032
6 · The paper itself

Abstract

Respiratory microbiota and lipids are closely associated with airway inflammation. This study aimed to analyze the correlations among the respiratory microbiome, the airway glycerophospholipid-sphingolipid profiles, and airway inflammation in patients with asthma. We conducted a cross-sectional study involving 61 patients with asthma and 17 healthy controls. Targeted phospholipidomics was performed on exhaled breath condensate (EBC) samples, and microbial composition was analyzed via the 16S rDNA sequencing of induced sputum. Asthma patients exhibited significant alterations in the EBC lipid profiles, with reduced levels of multiple ceramides (Cer) and glycerophospholipids, including phosphatidylethanolamine (PE) and phosphatidylcholine (PC), compared with healthy controls. These lipids were inversely correlated with the sputum interleukin-4 (IL-4) levels. Microbiome analysis revealed an increased abundance of

Indexed as

asthmaglycerophospholipidinflammationmicrobiomesphingolipid

Identifiers

PMID40871265
PMCPMC12388397

What OpenQuestion holds

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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.