Evidence map›Paper›PMID 37582718›Full record

ArticleBMC pulmonary medicine2023

Bioinformatics analysis of the immune cell infiltration characteristics and correlation with crucial diagnostic markers in pulmonary arterial hypertension.

Guili Lian, Jingxian You, Weijun Lin, Gufeng Gao, Changsheng Xu, Huajun Wang, Li Luo

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. 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

7 authors at 2 institutions in 1 country.

Guili Lian *Department of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Chazhong Road 20, Taijiang District, Fuzhou, 350005, People's Republic of China.
Jingxian You *Department of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Chazhong Road 20, Taijiang District, Fuzhou, 350005, People's Republic of China.
Weijun LinDepartment of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Chazhong Road 20, Taijiang District, Fuzhou, 350005, People's Republic of China.
Gufeng GaoDepartment of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Chazhong Road 20, Taijiang District, Fuzhou, 350005, People's Republic of China.
Changsheng XuDepartment of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Chazhong Road 20, Taijiang District, Fuzhou, 350005, People's Republic of China.
Huajun WangDepartment of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Chazhong Road 20, Taijiang District, Fuzhou, 350005, People's Republic of China.
Li LuoDepartment of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Chazhong Road 20, Taijiang District, Fuzhou, 350005, People's Republic of China. hluoli@126.com.
First Affiliated Hospital of Fujian Medical University · CNFujian Medical University · CN

Funding

Joint Funds for the Innovation of Science and Technology, Fujian Province 2020Y9108Medical Innovation Program from Fujian Provincial Health Department 2021CXA020National Natural Science Foundation of China 81770501
6 · The paper itself

Abstract

backgroundPulmonary arterial hypertension (PAH) is a pathophysiological syndrome, characterized by pulmonary vascular remodeling. Immunity and inflammation are progressively recognized properties of PAH, which are crucial for the initiation and maintenance of pulmonary vascular remodeling. This study explored immune cell infiltration characteristics and potential biomarkers of PAH using comprehensive bioinformatics analysis.

methodsMicroarray data of GSE117261, GSE113439 and GSE53408 datasets were downloaded from Gene Expression Omnibus database. The differentially expressed genes (DEGs) were identified in GSE117261 dataset. The proportions of infiltrated immune cells were evaluated by CIBERSORT algorithm. Feature genes of PAH were selected by least absolute shrinkage and selection operator (LASSO) regression analysis and validated by fivefold cross-validation, random forest and logistic regression. The GSE113439 and GSE53408 datasets were used as validation sets and logistic regression and receiver operating characteristic (ROC) curve analysis were performed to evaluate the prediction value of PAH. The PAH-associated module was identified by weighted gene association network analysis (WGCNA). The intersection of genes in the modules screened and DEGs was used to construct protein-protein interaction (PPI) network and the core genes were selected. After the intersection of feature genes and core genes, the hub genes were identified. The correlation between hub genes and immune cell infiltration was analyzed by Pearson correlation analysis. The expression level of LTBP1 in the lungs of monocrotaline-induced PAH rats was determined by Western blotting. The localization of LTBP1 and CD4 in lungs of PAH was assayed by immunofluorescence.

resultsA total of 419 DEGs were identified, including 223 upregulated genes and 196 downregulated genes. Functional enrichment analysis revealed that a significant enrichment in inflammation, immune response, and transforming growth factor β (TGFβ) signaling pathway. CIBERSORT analysis showed that ten significantly different types of immune cells were identified between PAH and control. Resting memory CD4

conclusionLTBP1 was correlated with immune cell infiltration and identified as the critical diagnostic maker for PAH.

Indexed as

Pulmonary Arterial HypertensionAnimalsCD8-Positive T-LymphocytesComputational BiologyFamilial Primary Pulmonary HypertensionMonocrotalineRatsTransforming Growth Factor betaVascular RemodelingMonocrotalineTransforming Growth Factor betaBioinformatics analysisHub geneImmune infiltrationLTBP1Pulmonary arterial hypertension

Identifiers

PMID37582718
PMCPMC10428559
OpenAlexW4385839931

What OpenQuestion holds

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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 OpenQuestion graph.