Characterization of Lipid Epi-Metabolites/Reactions as Diagnostic Biomarkers for Idiopathic Pulmonary Fibrosis by Lipidepifind

Lipidomics enables comprehensive profiling of lipid species, providing a powerful approach for studying disease pathogenesis and identifying biomarkers. Conventional lipidomics workflows rely on the annotation of lipid species using curated biochemical databases. However, many unidentified lipids ar...

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Bibliographic Details
Main Author:	Xinguang Liu (694789) (author)
Other Authors:	Yunfan Zhao (2901413) (author), Yang Xie (46489) (author), Yanmin Shi (16516917) (author), Jianya Yang (16516920) (author), Yan Du (229593) (author), Jinyan Wu (416736) (author), Yitong Gao (22454011) (author), Ang Zhang (4659643) (author), Jiansheng Li (109370) (author)
Published:	2025
Subjects:	Biochemistry Medicine Cell Biology Genetics Biotechnology Cancer Computational Biology Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified studying disease pathogenesis source r package retention time calibration retention order filtering resolution mass spectrometry many unidentified lipids improve analytical efficiency idiopathic pulmonary fibrosis https :// github friendly shiny app differential structural modifications 1479 parent lipids https :// xinguang potential lipid epi identifying lipid epi lipid epi lipid species identifying biomarkers two epi subsequently screened section validation putative enzyme predicted using patient serum pathological biomarkers multivariate statistics metabolite_mz_predictor /) metabolite biomarkers enzymatic processes ensure reproducibility diagnostic biomarkers cooh )), collision cross cho )) biological samples based strategies
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Characterization of Lipid Epi-Metabolites/Reactions as Diagnostic Biomarkers for Idiopathic Pulmonary Fibrosis by Lipidepifind

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