Metabolomics-based exploration of potential biomarkers and mechanisms in lung tissue of mice with pulmonary fibrosis
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1. Respiratory Department of the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou 450046,China; 2. the First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou 450046, China;3. Henan University of Chinese Medicine, Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-Constructed by Henan Province & Ministry of Education of P. R. China, Henan Key Laboratory of Chinese Medicine for Respiratory Disease, Zhengzhou 450046, China; 4. Academy of Chinese Medical Sciences,Henan University of Chinese Medicine, Zhengzhou 450046, China

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    Abstract:

    Objective Based on metabolomics technology, to clarify the specific endogenous biomarkers and their mechanisms in lung tissues of mice with pulmonary fibrosis. Methods Sixteen C57BL / 6J mice were randomly divided into control group and bleomycin model (BLM) group. A mouse model of pulmonary fibrosis was established.Indicators such as lung function, lung pathology, and hydroxyproline (HYP) levels were detected in each group.Correlation analysis and value evaluation between key differential metabolites and pathological indicators were performed to screen potential biomarkers, followed by functional analysis and pathway enrichment. A multi-layered“biomarker-disease-related target-pathway” interaction network was constructed to clarify the core mechanisms of biomarkers in pulmonary fibrosis. Additionally, qPCR was used to detect the mRNA levels of core targets. Results Compared with the control group, mice in the BLM group showed significant reductions in body mass and lung function (P<0. 01), accompanied by disordered lung tissue structure, damaged alveolar walls, and increased lung coefficient and lung tissue collagen levels (HYP) (P<0. 01). Metabolomics result revealed altered metabolic profiles in mice with pulmonary fibrosis, with differential metabolites primarily enriched in the arachidonic acid metabolism pathway.Correlation analysis and value evaluation of the top 10 significant differential metabolites identified 8 biomarkers significantly associated with pulmonary fibrosis characteristics (P<0. 01, P<0. 01, P<0. 05). The multi-layered interaction network indicated that the core mechanisms of these biomarkers mainly involve inflammatory responses and cell proliferation. qPCR result showed that 6 core targets were significantly upregulated in lung tissues of mice with pulmonary fibrosis (P<0. 05, P<0. 01). Conclusions The metabolic profile of mice with pulmonary fibrosis is altered. Biomarkers such as Capryloylglycine, S-( PGA1 )-glutathione, Corticosterone, Thymidine, 3-Oxotetradecanoic acid, 3-Hydroxybutyric acid, Uridine, and 3-Hydroxysebacic acid may play important roles in the progression of IPF by regulating inflammatory responses and cell proliferation through targets including IL-6, EGFR,CXCL8, MMP9, PTGS2, and MAPK3.

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  • Received:July 09,2025
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  • Online: May 15,2026
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