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Integrative Single-Cell Transcriptomics and Machine Learning Identify Pentose Phosphate Pathway-Related Core Biomarkers for Diagnosis of Idiopathic Pulmonary Fibrosis

2026-06-18

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<title>Abstract</title> <p>Background Idiopathic pulmonary fibrosis (IPF) carries a poor prognosis, and metabolic reprogramming is a key driver of its progression. However, the cell-type-specific activation patterns and key regulatory genes of the pentose phosphate pathway (PPP) in IPF remain poorly defined. Methods Single-cell transcriptomic data of IPF were analyzed to profile PPP metabolic activity using ssG...

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Literature Corpus work
1fa37eb1-9569-5676-90c6-3994f1207009
DOI
10.21203/rs.3.rs-9927320/v1
Open publication

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Integrative Single-Cell Transcriptomics and Machine Learning Identify Pentose Phosphate Pathway-Related Core Biomarkers for Diagnosis of Idiopathic Pulmonary FibrosisDOI 10.21203/rs.3.rs-9927320/v1
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