4.6 Article

Molecular Characterization and Elucidation of Pathways to Identify Novel Therapeutic Targets in Pulmonary Arterial Hypertension

期刊

FRONTIERS IN PHYSIOLOGY
卷 12, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fphys.2021.694702

关键词

systems biology; pulmonary arterial hypertension; protein-drug interaction; biomarkers; protein subcellular localization

资金

  1. National Natural Science Foundation of China [31902282]
  2. Key Project of Science and Technology Coordination in Shaanxi Province [2020ZDLNY02-06]
  3. Qinghai Province Major R&D and Transformation Project [2021-QY-211, 2018-NK-125]
  4. National Key Research and Development Program of China [2019YFE0119400]

向作者/读者索取更多资源

By integrating two microarray datasets, this study identified 38 common DEGs in PAH, highlighting hub genes, TFs, and miRNAs. Protein-drug interactions revealed potential compounds impacting PAH candidate biomolecules, with molecular signatures predominantly localized in extracellular and nuclear areas. These lung tissue-derived molecular signatures could offer novel insights into the mechanisms of PAH and aid in the development of diagnostic and therapeutic strategies.
Background: Pulmonary arterial hypertension (PAH) is a life-threatening chronic cardiopulmonary disease. However, there are limited studies reflecting the available biomarkers from separate gene expression profiles in PAH. This study explored two microarray datasets by an integrative analysis to estimate the molecular signatures in PAH. Methods: Two microarray datasets (GSE53408 and GSE113439) were exploited to compare lung tissue transcriptomes of patients and controls with PAH and to estimate differentially expressed genes (DEGs). According to common DEGs of datasets, gene and protein overrepresentation analyses, protein-protein interactions (PPIs), DEG-transcription factor (TF) interactions, DEG-microRNA (miRNA) interactions, drug-target protein interactions, and protein subcellular localizations were conducted in this study. Results: We obtained 38 common DEGs for these two datasets. Integration of the genome transcriptome datasets with biomolecular interactions revealed hub genes (HSP90AA1, ANGPT2, HSPD1, HSPH1, TTN, SPP1, SMC4, EEA1, and DKC1), TFs (FOXC1, FOXL1, GATA2, YY1, and SRF), and miRNAs (hsa-mir-17-5p, hsa-mir-26b-5p, hsa-mir-122-5p, hsa-mir-20a-5p, and hsa-mir-106b-5p). Protein-drug interactions indicated that two compounds, namely, nedocromil and SNX-5422, affect the identification of PAH candidate biomolecules. Moreover, the molecular signatures were mostly localized in the extracellular and nuclear areas. Conclusions: In conclusion, several lung tissue-derived molecular signatures, highlighted in this study, might serve as novel evidence for elucidating the essential mechanisms of PAH. The potential drugs associated with these molecules could thus contribute to the development of diagnostic and therapeutic strategies to ameliorate PAH.

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