Evidence map›Paper›PMID 35817495›Full record

ArticleInternational journal of immunopathology and pharmacology

Identification of potential biomarkers and immune infiltration characteristics in severe asthma.

Yuanyuan Jiang, Shuanglinzi Deng, Xinyue Hu, Lisha Luo, Yingyu Zhang, Daimo Zhang, Xiaozhao Li, Juntao Feng

Open access · goldAbstract read
In one paragraph

Article in International journal of immunopathology and pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

8 authors at 1 institution in 1 country.

Yuanyuan JiangCenter of Respiratory Medicine, Xiangya Hospital, 12570Central South University, Changsha, Hunan, China.
Shuanglinzi DengCenter of Respiratory Medicine, Xiangya Hospital, 12570Central South University, Changsha, Hunan, China.
Xinyue HuCenter of Respiratory Medicine, Xiangya Hospital, 12570Central South University, Changsha, Hunan, China.
Lisha LuoCenter of Respiratory Medicine, Xiangya Hospital, 12570Central South University, Changsha, Hunan, China.
Yingyu ZhangCenter of Respiratory Medicine, Xiangya Hospital, 12570Central South University, Changsha, Hunan, China.
Daimo ZhangCenter of Respiratory Medicine, Xiangya Hospital, 12570Central South University, Changsha, Hunan, China.
Xiaozhao LiDepartment of Nephrology, Xiangya Hospital, 12570Central South University, Changsha, Hunan, China.
Juntao FengCenter of Respiratory Medicine, Xiangya Hospital, 12570Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0003-2222-9095
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe hope to identify key molecules that can be used as markers of asthma severity and investigate their correlation with immune cell infiltration in severe asthma.

methodsAn asthma dataset was downloaded from the Gene Expression Omnibus database and then processed by R software to obtain differentially expressed genes (DEGs). First, multiple enrichment platforms were applied to analyze crucial biological processes and pathways and protein-protein interaction networks related to the DEGs. We next combined least absolute shrinkage and selection operator logistic regression and the support vector machine-recursive feature elimination algorithms to screen diagnostic markers of severe asthma. Then, a local cohort consisting of 40 asthmatic subjects (24 with moderate asthma and 16 with severe asthma) was used for biomarker validation. Finally, infiltration of immune cells in asthma bronchoalveolar lavage fluid and their correlation with the screened markers was evaluated by CIBERSORT.

resultsA total of 97 DEGs were identified in this study. Most of these genes are enriched in T cell activation and immune response in the asthma biological process. CC-chemokine receptor 7 (CCR7) and natural killer cell protein 7(NKG7) were identified as markers of severe asthma. The highest area under the ROC curve (AUC) was from a new indicator combining CCR7 and NKG7 (AUC = 0.851, adj.

conclusionCCR7 and NKG7 might be used as potential markers for asthma severity, and their expression may be associated with differences in immune cell infiltration in the moderate and severe asthma groups.

Indexed as

AsthmaBiomarkersBronchoalveolar Lavage FluidHumansLymphocyte ActivationReceptors, CCR7BiomarkersReceptors, CCR7asthma treatmenteosinophil asthmaeosinophilsglucocorticoidimmune infiltration

Identifiers

PMID35817495
PMCPMC9280849
OpenAlexW4285049524

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.