Evidence mapPaperPMID 42444953Full record

ArticleJournal of thoracic disease2026

Identification of neutrophil extracellular traps-related genes as feature genes and potential therapeutic targets in pulmonary hypertension.

Fangwei Li, Xiaohong Ma, Ruxuan Li, Binbin Li, Qi Zhang

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fangwei LiDepartment of Respiratory Medicine, Lanzhou University Second Hospital, Lanzhou, China.ORCID https://orcid.org/0000-0002-4176-3528
Xiaohong MaDepartment of Neurology, Lanzhou University Second Hospital, Lanzhou, China.
Ruxuan LiDepartment of Respiratory Medicine, Lanzhou University Second Hospital, Lanzhou, China.
Binbin LiDepartment of Respiratory Medicine, Lanzhou University Second Hospital, Lanzhou, China.
Qi ZhangDepartment of Respiratory Medicine, Lanzhou University Second Hospital, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neutrophil extracellular traps (NETs) might be promising targets for the evaluation and treatment of pulmonary hypertension. However, no study has systematically screened NETs as feature genes and therapeutic targets in pulmonary hypertension. The present study aims precisely to address this issue. Methods: GSE15197, GSE48149 and GSE53408 were used as the training group, whereas GSE113439 was used as the validation group for comprehensive bioinformatics analyses, and the screened feature genes were further confirmed using immunoblotting with animal lung tissues. Results: First, 12 differentially expressed NETs-related genes were significantly upregulated in pulmonary hypertension patients compared with healthy controls. Second, immune infiltration analysis revealed that immature B cells, immature dendritic cells, T helper cells and memory CD8+ T cells were increased in pulmonary hypertension patients. Third, three machine learning models identified five feature genes for pulmonary hypertension, including Conclusions: Five NETs-related genes, namely

Indexed as

feature genesimmune infiltrationinhibitorsNeutrophil extracellular traps (NETs)pulmonary hypertension

Identifiers

PMID42444953
PMCPMC13358513

What Socratic holds

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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 Socratic graph.