ArticleMolecules (Basel, Switzerland)2021
Identification of Key Candidate Genes Involved in the Progression of Idiopathic Pulmonary Fibrosis.
Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Discovering Promising Biomarkers and Therapeutic Targets for Duchenne Muscular Dystrophy: a Multiomics Meta-Analysis Approach.Molecular neurobiology · 2024Pooled it
- Overexpression of STX11 alleviates pulmonary fibrosis by inhibiting fibroblast activation via the PI3K/AKT/mTOR pathway.Signal transduction and targeted therapy · 2024Article
- Potential Biomarkers in Myocardial Fibrosis: A Bioinformatic Analysis.Arquivos brasileiros de cardiologia · 2024Article
- Article
- Article
- Article
- Development of a Novel Biomarker for the Progression of Idiopathic Pulmonary Fibrosis.International journal of molecular sciences · 2024Article
- Identifying health risk determinants and molecular targets in patients with idiopathic pulmonary fibrosis via combined differential and weighted gene co-expression analysis.Frontiers in genetics · 2024Article
- Increased expression of OPN contributes to idiopathic pulmonary fibrosis and indicates a poor prognosis.Journal of translational medicine · 2023Article
- Exosomal miR-17-5p from human embryonic stem cells prevents pulmonary fibrosis by targeting thrombospondin-2.Stem cell research & therapy · 2023Article
- An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers.Computational and structural biotechnology journal · 2023Article
- The identification and validation of hub genes associated with advanced IPF by weighted gene co-expression network analysis.Functional & integrative genomics · 2022Article
- Mechanism of action ofSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2022Article
- A Comparative Analysis of the Wound Healing-Related Heterogeneity of Adipose-Derived Stem Cells Donors.Pharmaceutics · 2022Article
- The UIP/IPF fibroblastic focus is a collagen biosynthesis factory embedded in a distinct extracellular matrix.JCI insight · 2022Article
- Integrative omics analysis identifies biomarkers of idiopathic pulmonary fibrosis.Cellular and molecular life sciences : CMLS · 2022Article
- Identification of Impacted Pathways and Transcriptomic Markers as Potential Mediators of Pulmonary Fibrosis in Transgenic Mice Expressing Human IGFBP5.International journal of molecular sciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Idiopathic pulmonary fibrosis (IPF) is a lethal, agnogenic interstitial lung disease with limited therapeutic options. To investigate vital genes involved in the development of IPF, we integrated and compared four expression profiles (GSE110147, GSE53845, GSE24206, and GSE10667), including 87 IPF samples and 40 normal samples. By reanalyzing these datasets, we managed to identify 62 upregulated genes and 20 downregulated genes in IPF samples compared with normal samples. Differentially expressed genes (DEGs) were analyzed by gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis to illustrate relevant pathways of IPF, biological processes, molecular function, and cell components. The DEGs were then subjected to protein-protein interaction (PPI) for network analysis, serving to find 11 key candidate genes (ANXA3, STX11, THBS2, MMP1, MMP9, MMP7, MMP10, SPP1, COL1A1, ITGB8, IGF1). The result of RT-qPCR and immunohistochemical staining verified our finding as well. In summary, we identified 11 key candidate genes related to the process of IPF, which may contribute to novel treatments of IPF.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.