ArticleFrontiers in genetics2022
Identification and Validation of Aging-Related Genes in Idiopathic Pulmonary Fibrosis.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 32 citations in OpenAlex.
- Cellular Senescence: Emerging Therapeutic Target for Idiopathic Pulmonary Fibrosis Pathogenic Mechanisms and Therapeutic Strategies.Biomolecules & therapeutics · 2026Review
- Identifying the role of aging-related genes in intracranial aneurysms through bioinformatics analysis.Chinese neurosurgical journal · 2025Article
- Bioinformatics-based identification of mirdametinib as a potential therapeutic target for idiopathic pulmonary fibrosis associated with endoplasmic reticulum stress.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Hallmarks and mechanisms of cellular senescence in aging and disease.Cell death discovery · 2025Review
- Hallmarks of cellular senescence: biology, mechanisms, regulations.Experimental & molecular medicine · 2025Review
- SNX10 regulates the proliferation, apoptosis and cell cycle of acute B lymphoblastic leukemia cells via the PI3K/Akt signaling pathway.Oncology reports · 2025Article
- Article
- The Hypoxia-Retinoid Axis in Idiopathic Pulmonary Fibrosis: Multifaceted Etiology and Therapeutic Potential.International journal of molecular sciences · 2025Review
- Identification and validation of key genes associated with cell senescence in acute myocardial infarction.Frontiers in cardiovascular medicine · 2025Article
- Construction of an artificial neural network diagnostic model and investigation of immune cell infiltration characteristics for idiopathic pulmonary fibrosis.BMC pulmonary medicine · 2024Article
- Identification and validation of senescence-related genes in polycystic ovary syndrome.Journal of ovarian research · 2024Article
- Article
- Prognostic and immune correlation analysis of mitochondrial autophagy and aging-related genes in lung adenocarcinoma.Journal of cancer research and clinical oncology · 2023Article
- Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease.IET systems biology · 2023Article
- Aging-related genes revealed Neuroinflammatory mechanisms in ischemic stroke by bioinformatics.Heliyon · 2023Article
- Micro-inflammation related gene signatures are associated with clinical features and immune status of fibromyalgia.Journal of translational medicine · 2023Article
- An Integrative Multiomics Framework for Identification of Therapeutic Targets in Pulmonary Fibrosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Trials and Treatments: An Update on Pharmacotherapy for Idiopathic Pulmonary Fibrosis.Life (Basel, Switzerland) · 2023Review
- Identification and validation of aging-related gene signatures and their immune landscape in diabetic nephropathy.Frontiers in medicine · 2023Article
- Identification and Validation of Aging-Related Genes in Alzheimer's Disease.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging plays a significant role in the occurrence and development of idiopathic pulmonary fibrosis (IPF). In this study, we aimed to identify and verify potential aging-associated genes involved in IPF using bioinformatic analysis. The mRNA expression profile dataset GSE150910 available in the Gene Expression Omnibus (GEO) database and R software were used to identify the differentially expressed aging-related genes involved in IPF. Hub gene expression was validated by other GEO datasets. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on differentially expressed aging-related genes. Subsequently, aging-related genes were further screened using three techniques (least absolute shrinkage and selection operator (LASSO) regression, support vector machine, and random forest), and the receiver operating characteristic curves were plotted based on screening results. Finally, real-time quantitative polymerase chain reaction (qRT-PCR) was performed to verify the RNA expression of the six differentially expressed aging-related genes using the blood samples of patients with IPF and healthy individuals. Sixteen differentially expressed aging-related genes were detected, of which the expression of 12 were upregulated and four were downregulated. GO and KEGG enrichment analyses indicated the presence of several enriched terms related to senescence and apoptotic mitochondrial changes. Further screening by LASSO regression, support vector machine, and random forest identified six genes (
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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 OpenQuestion graph.