Evidence map›Paper›PMID 42609236›Full record

ArticleJournal of inflammation research2026

Identification of Mitochondrial-Related Signature in Allergic Rhinitis: Novel Insights from Bioinformatics and Machine Learning.

Meili Nuerbolati, Jiang Su, Huajie Yuan, Song Wang, Yuping Yang, Lingling Wang, Yan Wang, Qingping Liu, Hua Zhang

Abstract read
In one paragraph

Article in Journal of inflammation research, 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. 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

9 authors.

Meili NuerbolatiDepartment of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Jiang SuDepartment of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Huajie YuanDepartment of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Song WangDepartment of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Yuping YangDepartment of Allergy and Clinical Immunology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Lingling WangDepartment of Allergy and Clinical Immunology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Yan WangDepartment of Allergy and Clinical Immunology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Qingping LiuDepartment of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Hua ZhangDepartment of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Allergic rhinitis (AR) is an immune-mediated inflammatory disease of the nasal mucosa. Numerous studies have demonstrated correlations between AR and mitochondrial dysfunction. The present study was designed to explore mitochondrial-related genes associated with AR. Methods: The differentially expressed mitochondrial-related genes (DEMRGs) were obtained by intersecting differentially expressed genes (DEGs) and mitochondrial-related genes. Further screening of hub DEMRGs was conducted using three machine learning algorithms. The CIBERSORT algorithm was employed to characterize immune cell infiltration and investigate interactions between the hub DEMRGs and immune cells. Ultimately, the expression levels of hub DEMRGs were confirmed in external datasets and clinical data from human nasal mucosa. Results: In total, 12 DEMRGs were identified, and using machine-learning algorithms, two hub DEMRGs (SLC25A36 and RNASEH1) were significantly downregulated in AR samples, indicating good diagnostic potential. These hub DEMRGs were closely associated with the infiltration of activated CD4+ memory T cells, resting dendritic cells, M0 macrophages, and resting NK cells. Validation using external datasets and experiments confirmed that the two hub DEMRGs were downregulated in the AR group, consistent with the bioinformatics analysis. Conclusion: By characterizing both mitochondrial-related genes and patterns of immune cell infiltration in AR, this study suggested a potential link to AR pathogenesis and identified candidate targets for future therapeutic exploration.

Indexed as

allergic rhinitisimmune infiltrationmachine-learningmitochondriatranscriptomics

Identifiers

PMID42609236
PMCPMC13477863

What Socratic holds

Textmetadata
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 Socratic graph.