Evidence map›Paper›PMID 42516377›Full record

ArticleFrontiers in immunology2026

Genetic and cross-species single-cell analyses prioritize CD83 in antigen-presenting cells as a candidate therapeutic target in asthma.

Guojun Qian, Qiaoyi Xu, Xuejiao Zhu, Yiying Tao, Xibing Ding, Hao Zhu, Song Zhang, Qionghui Zhan, Saihong Xu, Yan Song and 5 more

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Guojun Qian *Key Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qiaoyi Xu *Department of Critical Care Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xuejiao Zhu *Department of Anesthesiology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yiying TaoKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xibing DingKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hao ZhuKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Song ZhangKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qionghui ZhanKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Saihong XuKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan SongDepartment of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qin HuDepartment of Neurosurgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hongwei FangDepartment of Pain Management, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yinghui FanDepartment of Pain Management, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jie TianKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weifeng YuKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Asthma remains a heterogeneous inflammatory airway disease, and current therapies, including biologics, benefit only selected patient subsets. We aimed to identify genetically supported therapeutic targets with clear mechanistic and translational relevance in asthma. Methods: We integrated cis-eQTL and cis-pQTL instruments for 585 druggable genes with asthma genome-wide association data from FinnGen, EBI, and UK Biobank, comprising more than 1.1 million participants in total, using Mendelian randomization, colocalization, and SMR/HEIDI analyses. We then combined cell-type-specific single-cell eQTL Mendelian randomization with lung single-cell RNA sequencing from a house dust mite mouse model and public human and cynomolgus monkey single-cell datasets to define the cellular context of the prioritized signal. Phenome-wide association analysis and Connectivity Map screening were used to assess target specificity and nominate candidate compounds. Results: CD83 emerged as the most consistently supported candidate across the genetic prioritization pipeline. Higher genetically predicted CD83 expression showed a consistent risk-increasing association across independent cohorts, and protein-level analyses together with colocalization provided convergent support for CD83 as the prioritized gene at this locus. Mechanistically, integrating cell-type-specific human genetics with cross-species single-cell transcriptomics localized the signal to antigen-presenting cells, particularly memory B cells and dendritic cells. Across human, mouse, and monkey datasets, CD83-positive antigen-presenting cells were consistently enriched for MHCII antigen-presentation and T-cell activation programs following allergen challenge. Phenome-wide analyses did not identify major genome-wide significant associations outside the asthma signal, and signature-reversal analysis highlighted hydroxyfasudil and prunetin as candidate compounds for further evaluation. Conclusions: These findings prioritize CD83 in antigen-presenting cells as a genetically supported candidate therapeutic target in asthma. More broadly, they provide a translational framework linking human causal genetics to cell-specific mechanism and therapeutic nomination, and support direct CD83 perturbation studies in airway inflammation.

Indexed as

Antigen-Presenting CellsAntigens, CDAsthmaImmunoglobulinsMembrane GlycoproteinsAnimalsCD83 AntigenGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMacaca fascicularisMicePolymorphism, Single NucleotideQuantitative Trait LociSingle-Cell AnalysisAntigens, CDCD83 AntigenImmunoglobulinsMembrane Glycoproteinsallergic inflammationantigen presentationasthmaCD83immunomodulationmendelian randomization

Identifiers

PMID42516377
PMCPMC13402173

What Socratic 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 Socratic graph.