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pmid:35646965

Integrated Bioinformatic Analysis Reveals TXNRD1 as a Novel Biomarker and Potential Therapeutic Target in Idiopathic Pulmonary Arterial Hypertension.

Wenchao Lin · Yiyang Tang · Mengqiu Zhang · Benhui Liang · Meijuan Wang · Lihuang Zha · Zaixin Yu

Frontiers in medicine · 2022 doi:10.3389/fmed.2022.894584

Paper

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Experiment

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Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:35646965
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2026-11-01T18:14:34Z
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paper object · 10 fields
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title
Integrated Bioinformatic Analysis Reveals TXNRD1 as a Novel Biomarker and Potential Therapeutic Target in Idiopathic Pulmonary Arterial Hypertension.
doi
10.3389/fmed.2022.894584
pmid
35646965
authors array · 7 items
[0]
Wenchao Lin
[1]
Yiyang Tang
[2]
Mengqiu Zhang
[3]
Benhui Liang
[4]
Meijuan Wang
[5]
Lihuang Zha
[6]
Zaixin Yu
journal
Frontiers in medicine
year
2022
abstract
Idiopathic pulmonary arterial hypertension (IPAH) is a life-threatening cardiopulmonary disease lacking specific diagnostic markers and targeted therapy, and its mechanism of development remains to be elucidated. The present study aimed to explore novel diagnostic biomarkers and therapeutic targets in IPAH by integrated bioinformatics analysis. Four eligible datasets (GSE117261, GSE15197, GSE53408, GSE48149) was firstly downloaded from GEO database and subsequently integrated by Robust rank aggregation (RRA) method to screen robust differentially expressed genes (DEGs). Then functional annotation of robust DEGs was performed by GO and KEGG enrichment analysis. The protein-protein interaction (PPI) network was constructed followed by using MCODE and CytoHubba plug-in to identify hub genes. Finally, 10 hub genes were screened including ENO1, TALDO1, TXNRD1, SHMT2, IDH1, TKT, PGD, CXCL10, CXCL9, and CCL5. The GSE113439 dataset was used as a validation cohort to appraise these hub genes and TXNRD1 was selected for verification at the protein level. The experiment results confirmed that serum TXNRD1 concentration was lower in IPAH patients and the level of TXNRD1 had great predictive efficiency (AUC:0.795) as well as presents negative correlation with mean pulmonary arterial pressure (mPAP) and pulmonary vascular resistance (PVR). Consistently, the expression of TXNRD1 was proved to be inhibited in animal and cellular model of PAH. In addition, GSEA analysis was performed to explore the functions of TXNRD1 and the results revealed that TXNRD1 was closely correlated with mTOR signaling pathway, MYC targets, and unfolded protein response. Finally, knockdown of TXNRD1 was shown to exacerbate proliferative disorder, migration and apoptosis resistance in PASMCs. In conclusion, our study demonstrates that TXNRD1 is a promising candidate biomarker for diagnosis of IPAH and plays an important role in PAH pathogenesis, although further research is necessary.
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To determine DEGs between IPAH and control group, we utilized limma R package to analyze with the cut-off criteria of | log2 fold-change (FC)| > 0.5 and P-value < 0.05. Identified DEGs from each dataset were integrated using the Robust Rank Aggregation (RRA) method to minimize the inconsistency.
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sections[4] "Identification of Robust Differentially Expressed Genes Among Each Gene Expression Omnibus Dataset" paragraph 2
quote
To determine DEGs between IPAH and control group, we utilized limma R package to analyze with the cut-off criteria of | log2 fold-change (FC)| > 0.5 and P-value < 0.05. Identified DEGs from each dataset were integrated using the Robust Rank Aggregation (RRA) method to minimize the inconsistency.
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The authors declare that all data supporting the findings of this study are available in Zenodo (DOI: 10.5281/zenodo.5840973). If any other requirements were requested, please contact the author at convenience.
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sections[15] "Data Availability" paragraph 2
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The authors declare that all data supporting the findings of this study are available in Zenodo (DOI: 10.5281/zenodo.5840973). If any other requirements were requested, please contact the author at convenience.
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Integration of four GEO lung-tissue datasets by robust rank aggregation identified TXNRD1 as a downregulated candidate in IPAH, with serum TXNRD1 showing an AUC of 0.795 for diagnosis.
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Four eligible datasets (GSE117261, GSE15197, GSE53408, GSE48149) was firstly downloaded from GEO database and subsequently integrated by Robust rank aggregation (RRA) method to screen robust differentially expressed genes (DEGs).
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sections[0] "Abstract" paragraph 1
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The experiment results confirmed that serum TXNRD1 concentration was lower in IPAH patients and the level of TXNRD1 had great predictive efficiency (AUC:0.795) as well as presents negative correlation with mean pulmonary arterial pressure (mPAP) and pulmonary vascular resistance (PVR).
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Integration of four GEO lung-tissue datasets by robust rank aggregation identified TXNRD1 as a downregulated candidate in IPAH, with serum TXNRD1 showing an AUC of 0.795 for diagnosis.
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Systems Analysis of the Human Pulmonary Arterial Hypertension Lung Transcriptome
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RNA Expression Profiling of Lung Tissue Identifies Mutually Distinct Molecular Signatures in PAH and PH Secondary to IPF
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To determine DEGs between IPAH and control group, we utilized limma R package to analyze with the cut-off criteria of | log2 fold-change (FC)| > 0.5 and P-value < 0.05. Identified DEGs from each dataset were integrated using the Robust Rank Aggregation (RRA) method to minimize the inconsistency.
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The authors declare that all data supporting the findings of this study are available in Zenodo (DOI: 10.5281/zenodo.5840973). If any other requirements were requested, please contact the author at convenience.
basis
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ets, and unfolded protein response. Finally, knockdown of TXNRD1 was shown to exacerbate proliferat
[1]
h. For gene knockdown in PASMCs, cells were transfected with control siRNA or si-TXNRD1 in antibioti
[2]
Hill, NJ, United States) for 24 h. For gene knockdown in PASMCs, cells were transfected with contr
[3]
PASMCs, cells were transfected with control siRNA or si-TXNRD1 in antibiotic-free medium for 4
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erbate proliferative disorder, migration and apoptosis resistance in PASMCs. In conclusion, our stu
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South University. Fourteen 180–200 g male SD rats were raised under standard laboratory conditions
[1]
for the care and use of rat. One week later, rats were randomly divided into control group and MCT
[2]
ted States) respectively. After 21 days, the rats were anesthetized and the right ventricle systoli
[3]
rough right heart catheterization. Then, the rats were sacrificed, and lung and heart tissues were
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were collected for histological analysis and western blotting. The RV hypertrophy index was calculated as
[1]
ples, TXNRD1 expression was also verified by Western blotting using lung homogenate of monocrotaline (MCT)
[2]
g homogenates from MCT rats were measured by Western blot analysis and the results indicated TXNRD1 wa
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ue in animal experiments. (B) Representative Western blots and quantification of TXNRD1 and β-actin in
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ing confluence. Cell purity was confirmed by immunofluorescence with smooth muscle cell actin (1:400, 67735-
[1]
Figure 6B). The result was also confirmed by immunofluorescence staining in which TXNRD1 was predominantly e
[2]
lated the rat PASMCs which were confirmed by immunofluorescence with alpha-sma (see Supplementary Figure 3)
[3]
t t-test was used to compare two groups. (C) Immunofluorescence images of lung distal PA from MCT rats and c
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mental validation. Firstly, we collected the blood samples from 9 IPAH patients and 13 healthy controls to d
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To determine DEGs between IPAH and control group, we utilized limma R package to analyze with the cut-off criteria of | log2 fold-change (FC)| > 0.5 and P-value < 0.05. Identified DEGs from each dataset were integrated using the Robust Rank Aggregation (RRA) method to minimize the inconsistency.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35646965", "kind": "science-record", "revision": 5, "content_hash": "sha256:6560bb9aa35b8386dad66ef993c1e50b76690101c20dde7dff3908bfbb327e2b", "created_at": "2026-11-01T18:14:34Z", "updated_at": "2026-11-01T22:49:11Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrated Bioinformatic Analysis Reveals TXNRD1 as a Novel Biomarker and Potential Therapeutic Target in Idiopathic Pulmonary Arterial Hypertension.", "doi": "10.3389/fmed.2022.894584", "pmid": "35646965", "authors": ["Wenchao Lin", "Yiyang Tang", "Mengqiu Zhang", "Benhui Liang", "Meijuan Wang", "Lihuang Zha", "Zaixin Yu"], "journal": "Frontiers in medicine", "year": 2022, "abstract": "Idiopathic pulmonary arterial hypertension (IPAH) is a life-threatening cardiopulmonary disease lacking specific diagnostic markers and targeted therapy, and its mechanism of development remains to be elucidated. The present study aimed to explore novel diagnostic biomarkers and therapeutic targets in IPAH by integrated bioinformatics analysis. Four eligible datasets (GSE117261, GSE15197, GSE53408, GSE48149) was firstly downloaded from GEO database and subsequently integrated by Robust rank aggregation (RRA) method to screen robust differentially expressed genes (DEGs). Then functional annotation of robust DEGs was performed by GO and KEGG enrichment analysis. The protein-protein interaction (PPI) network was constructed followed by using MCODE and CytoHubba plug-in to identify hub genes. Finally, 10 hub genes were screened including ENO1, TALDO1, TXNRD1, SHMT2, IDH1, TKT, PGD, CXCL10, CXCL9, and CCL5. The GSE113439 dataset was used as a validation cohort to appraise these hub genes and TXNRD1 was selected for verification at the protein level. The experiment results confirmed that serum TXNRD1 concentration was lower in IPAH patients and the level of TXNRD1 had great predictive efficiency (AUC:0.795) as well as presents negative correlation with mean pulmonary arterial pressure (mPAP) and pulmonary vascular resistance (PVR). Consistently, the expression of TXNRD1 was proved to be inhibited in animal and cellular model of PAH. In addition, GSEA analysis was performed to explore the functions of TXNRD1 and the results revealed that TXNRD1 was closely correlated with mTOR signaling pathway, MYC targets, and unfolded protein response. Finally, knockdown of TXNRD1 was shown to exacerbate proliferative disorder, migration and apoptosis resistance in PASMCs. 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Identified DEGs from each dataset were integrated using the Robust Rank Aggregation (RRA) method to minimize the inconsistency."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The authors declare that all data supporting the findings of this study are available in Zenodo (DOI: 10.5281/zenodo.5840973). If any other requirements were requested, please contact the author at convenience.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35646965", "locator": "sections[15] \"Data Availability\" paragraph 2", "quote": "The authors declare that all data supporting the findings of this study are available in Zenodo (DOI: 10.5281/zenodo.5840973). 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Finally, knockdown of TXNRD1 was shown to exacerbate proliferat", "h. For gene knockdown in PASMCs, cells were transfected with control siRNA or si-TXNRD1 in antibioti", "Hill, NJ, United States) for 24 h. For gene knockdown in PASMCs, cells were transfected with contr", "PASMCs, cells were transfected with control siRNA or si-TXNRD1 in antibiotic-free medium for 4"], "order_basis": "paper_text_order:1774", "id": "assay:1"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.69, "evidence": ["erbate proliferative disorder, migration and apoptosis resistance in PASMCs. In conclusion, our stu"], "order_basis": "paper_text_order:1856", "id": "assay:2"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["South University. Fourteen 180–200 g male SD rats were raised under standard laboratory conditions", "for the care and use of rat. One week later, rats were randomly divided into control group and MCT", "ted States) respectively. After 21 days, the rats were anesthetized and the right ventricle systoli", "rough right heart catheterization. Then, the rats were sacrificed, and lung and heart tissues were"], "order_basis": "paper_text_order:2255", "id": "assay:3"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["were collected for histological analysis and western blotting. The RV hypertrophy index was calculated as", "ples, TXNRD1 expression was also verified by Western blotting using lung homogenate of monocrotaline (MCT)", "g homogenates from MCT rats were measured by Western blot analysis and the results indicated TXNRD1 wa", "ue in animal experiments. (B) Representative Western blots and quantification of TXNRD1 and β-actin in"], "order_basis": "paper_text_order:2850", "id": "assay:4"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ing confluence. Cell purity was confirmed by immunofluorescence with smooth muscle cell actin (1:400, 67735-", "Figure 6B). The result was also confirmed by immunofluorescence staining in which TXNRD1 was predominantly e", "lated the rat PASMCs which were confirmed by immunofluorescence with alpha-sma (see Supplementary Figure 3)", "t t-test was used to compare two groups. (C) Immunofluorescence images of lung distal PA from MCT rats and c"], "order_basis": "paper_text_order:3714", "id": "assay:5"}, {"role": "data_generation", "definition_id": "clinical_cohort", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["mental validation. Firstly, we collected the blood samples from 9 IPAH patients and 13 healthy controls to d"], "order_basis": "paper_text_order:7196", "id": "assay:6"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["To determine DEGs between IPAH and control group, we utilized limma R package to analyze with the cut-off criteria of | log2 fold-change (FC)| > 0.5 and P-value < 0.05. Identified DEGs from each dataset were integrated using the Robust Rank Aggregation (RRA) method to minimize the inconsistency."], "order_basis": "consumes_earlier_output", "id": "assay:7"}]}