Evidence map›Paper›PMID 40309741›Full record

ArticleFrontiers in medicine2025

Identification and validation of differentially expressed genes in allergic asthma pathogenesis using whole-transcriptome sequencing.

Fang Cui, Rui Liu, Li Wang, Jing He, Yanxia Xu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
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  3. 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.

Fang CuiDepartment of Laboratory Medicine, Yanan University Affiliated Hospital, Yan'an, Shaanxi, China.
Rui LiuDepartment of Laboratory Medicine, Yanan University Affiliated Hospital, Yan'an, Shaanxi, China.
Li WangDepartment of Laboratory Medicine, Yanan University Affiliated Hospital, Yan'an, Shaanxi, China.
Jing HeDepartment of Respiratory and Critical Care Medicine, Yanan University Affiliated Hospital, Yan'an, Shaanxi, China.
Yanxia XuDepartment of Respiratory and Critical Care Medicine, Yanan University Affiliated Hospital, Yan'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to systematically identify differential gene expression profiles in patients with allergic asthma through whole-transcriptome sequencing and validate the role of these genes in asthma pathogenesis, thereby uncovering potential molecular mechanisms. Methods: This study recruited a cohort of 80 individuals diagnosed with allergic asthma and 40 healthy controls. RNA was extracted from both peripheral blood and airway samples, and sequencing was performed using the Illumina NovaSeq 6000 platform. Potential differential genes were confirmed through three independent techniques to validate the findings: quantitative reverse transcription polymerase chain reaction (qRT-PCR), immunohistochemistry, and Western blot analysis. Differential gene expression was analyzed using DESeq2 software, providing a rigorous statistical framework for RNA-Seq data interpretation. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were employed to elucidate the biological significance of the differentially expressed genes, offering insights into the molecular mechanisms underlying allergic asthma. Results: Differential expression analysis identified multiple genes with significant differences between the patient and control groups. Inflammatory-related genes such as Conclusion: Differential gene expression profiles play a crucial role in the pathogenesis of asthma. This study provides important evidence for understanding the molecular mechanisms of asthma and developing novel targeted therapeutic strategies.

Indexed as

allergic asthmaasthma pathogenesisdifferentially expressed genesfunctional enrichment analysiswhole-transcriptome sequencing

Identifiers

PMID40309741
PMCPMC12041010

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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.