Open AccessMetabolomic analysis of fibrotic mice combined with public RNA‐Seq human lung data reveal potential diagnostic biomarker candidates for lung fibrosis
Author(s) -
Nojima Yosui,
Takeda Yoshito,
Maeda Yohei,
Bamba Takeshi,
Fukusaki Eiichiro,
Itoh Mari N.,
Mizuguchi Kenji,
Kumanogoh Atsushi
Publication year - 2020
Publication title -
febs open bio
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.718
H-Index - 31
ISSN - 2211-5463
DOI - 10.1002/2211-5463.12982
Subject(s) - metabolomics , lung , biomarker , fibrosis , medicine , rna seq , computational biology , lung fibrosis , pathology , pulmonary fibrosis , bioinformatics , transcriptome , biology , gene , gene expression , genetics
Metabolomic analysis in fibrotic mouse models revealed high levels of proline and methionine in bronchoalveolar lavage fluid but low levels in the serum. Analysis of public RNA‐Seq data from idiopathic pulmonary fibrosis (IPF) patient lungs showed a high expression of proline‐ and methionine‐related genes. The metabolic network generated by the integration of the two omics data suggests proline and methionine as potential biomarkers for IPF.