ArticleFEBS open bio2020
Metabolomic analysis of fibrotic mice combined with public RNA-Seq human lung data reveal potential diagnostic biomarker candidates for lung fibrosis.
Article in FEBS open bio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Altered Metabolism in Idiopathic Pulmonary Fibrosis.Journal of cellular physiology · 2025Review
- Metabolic dysregulation in pulmonary fibrosis: insights into amino acid contributions and therapeutic potential.Cell death discovery · 2025Review
- Comprehensive metabolomics study identifies SN-38 organ specific toxicity in mice.Scientific reports · 2025Article
- Review
- Multi-omics integration reveals a nonlinear signature that precedes progression of lung fibrosis.Clinical & translational immunology · 2024Article
- Proteomics analysis of lung tissue reveals protein makers for the lung injury of adjuvant arthritis rats.Molecular medicine reports · 2023Article
- Radiogenomics Reveals Correlation between Quantitative Texture Radiomic Features of Biparametric MRI and Hypoxia-Related Gene Expression in Men with Localised Prostate Cancer.Journal of clinical medicine · 2023Article
- The role of metabolic reprogramming and de novo amino acid synthesis in collagen protein production by myofibroblasts: implications for organ fibrosis and cancer.Amino acids · 2021Review
- Untargeted metabolomics and transcriptomics identified glutathione metabolism disturbance and PCS and TMAO as potential biomarkers for ER stress in lung.Scientific reports · 2021Article
- There is detectable variation in the lipidomic profile between stable and progressive patients with idiopathic pulmonary fibrosis (IPF).Respiratory research · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Idiopathic pulmonary fibrosis (IPF) is a severe lung disease with poor survival that warrants early and precise diagnosis for timely therapeutic intervention. Despite accumulating genomic, transcriptomic, proteomic, and lipidomic data on IPF, evidence from water-soluble metabolomics is limited. To identify biomarkers for IPF from water-soluble metabolomic data, we measured the levels of various metabolites in bronchoalveolar lavage fluid (BALF) and serum samples from a bleomycin-induced murine pulmonary fibrotic model using gas chromatography/mass spectrometry. Thirty-two of 73 BALF metabolites and 29 of 74 serum metabolites were annotated. We observed that the levels of proline and methionine were higher in BALF but lower in serum than those in the control. Furthermore, analysis of public RNA-Seq data from the lungs of patients with IPF revealed that proline- and methionine-related genes were significantly upregulated compared to those in the lungs of healthy controls. These results suggest that proline and methionine may be potential biomarkers for IPF and may help to deepen our understanding of the pathophysiology of the disease. Based on our results, we propose a model capable of recapitulating the proline and methionine metabolism of fibrotic lungs, thereby providing better means for studying the disease and developing novel therapeutic strategies for IPF.
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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 Socratic graph.