Evidence map›Paper›PMID 37753829›Full record

ArticleJournal of cellular and molecular medicine2023

Identification of immune-associated signatures and potential therapeutic targets for pulmonary arterial hypertension.

Xu He, Jiansong Fang, Mingli Gong, Juqi Zhang, Ran Xie, Dai Zhao, Yanlun Gu, Lingyue Ma, Xiaocong Pang, Yimin Cui

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  7. Role of NLRP3 inflammasome-mediated neuronal pyroptosis and neuroinflammation in neurodegenerative diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Review
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

10 authors at 3 institutions in 1 country.

Xu HeDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Jiansong FangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Mingli GongDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Juqi ZhangDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Ran XieDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Dai ZhaoScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yanlun GuDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Lingyue MaDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Xiaocong PangDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Yimin CuiDepartment of Pharmacy, Peking University First Hospital, Beijing, China.ORCID 0000-0002-4186-1005
Peking University · CNGuangzhou University of Chinese Medicine · CNXuzhou Medical College · CN

Funding

National High Level Hospital Clinical Research Funding 2022CX11National Key R&D Program of China 2020YFC200830National Natural Science Foundation of China 82274015
6 · The paper itself

Abstract

Pulmonary arterial hypertension (PAH) comprises a heterogeneous group of diseases with diverse aetiologies. It is characterized by increased pulmonary arterial pressure and right ventricular (RV) failure without specific drugs for treatment. Emerging evidence suggests that inflammation and autoimmune disorders are common features across all PAH phenotypes. This provides a novel idea to explore the characteristics of immunological disorders in PAH and identify immune-related genes or biomarkers for specific anti-remodelling regimens. In this study, we integrated three gene expression profiles and performed Gene Ontology (GO) and KEGG pathway analysis. CIBERSORT was utilized to estimate the abundance of tissue-infiltrating immune cells in PAH. The PPI network and machine learning were constructed to identify immune-related hub genes and then evaluate the relationship between hub genes and differential immune cells using ImmucellAI. Additionally, we implemented molecular docking to screen potential small-molecule compounds based on the obtained genes. Our findings demonstrated the density and distribution of infiltrating CD4 T cells in PAH and identified four immune-related genes (ROCK2, ATHL1, HSP90AA1 and ACTR2) as potential targets. We also listed 20 promising molecules, including TDI01953, pemetrexed acid and radotinib, for PAH treatment. These results provide a promising avenue for further research into immunological disorders in PAH and potential novel therapeutic targets.

Indexed as

Heart FailurePulmonary Arterial HypertensionBiomarkersFamilial Primary Pulmonary HypertensionHumansMolecular Docking SimulationBiomarkersbioinformatic analysisimmunepulmonary arterial hypertensiontherapeutic drugs

Identifiers

PMID37753829
PMCPMC10718157
OpenAlexW4387077503

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.