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Zhong, X.* ; Chen, L.* ; Xu, H.* ; Jiang, T.* ; Hua, Z.* ; Tan, F.E.* ; Mao, X.* ; Fan, Z.* ; Li, Z.* ; Zeng, J. ; Lin, S.H.*

Development of a comprehensive computational pipeline for cardiolipin atlas in an intermittent fasting model.

Chin. Chem. Lett. 36, DOI: 10.1016/j.cclet.2025.111027 (2025)
DOI
Open Access Green as soon as Postprint is submitted to ZB.
Cardiolipins (CLs), the mitochondria-specific class of phospholipids, are crucial to energy metabolism, cristae structure, and cell apoptosis. CLs present significant challenges in lipidomics analysis due to their structural diversity with up to four fatty acyl side chains. In this study, we developed CLAN (CardioLipin ANalysis), a comprehensive computational pipeline designed to improve the accuracy and coverage of cardiolipin identification. CLAN integrates three innovative modules: A cardiolipin identification module that utilizes specific fragmentation rules for precise characterization of CLs and their acyl side chains; a false positives detection module that employs retention time (RT) criteria to reduce false positives; and a prediction module that constructs regression models to identify CLs lacking authentic MS/MS spectra. CLAN achieved better identification accuracy and the highest recall rate for potential CL identification compared to the existing lipid identification tools. Furthermore, we applied CLAN program to an intermittent fasting mouse model, delineating tissue-specific CL alterations across 10 tissues. Every-other-day fasting (EODF) can partially counteract the disruption of the CL atlas across multiple tissues caused by high-fat-high-sugar diet feeding, providing novel insights into mitochondrial lipid metabolism under dietary interventions. Taken together, this work not only advances CL identification methodology but also underscores CLAN's potential in comprehensive analysis of CL atlas in the EODF animal model. CLAN is freely accessible on GitHub.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Cardiolipin Atlas ; Cardiolipin Identification ; Computational Pipeline ; Intermittent Fasting ; Mass Spectrometry; Mass-spectrometry; Lc-ms/ms; Mitochondrial; Synthase; Ms
ISSN (print) / ISBN 1001-8417
e-ISSN 1001-8417
Journal Chinese Chemical Letters
Quellenangaben Volume: 36, Issue: 12 Pages: , Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place Ste 800, 230 Park Ave, New York, Ny 10169 Usa
Reviewing status Peer reviewed
Institute(s) Research Unit BioGeoChemistry and Analytics (BGC)
Grants China Scholarship Council
Natural Science Foundation of Xiamen City of China
Natural Science Foundation of Fujian Province of China
Ministry of Education of China
Project "111" - State Bureau of Foreign Experts
Fundamental Research Funds for the Central Universities
Major Science and Technology Special Project of Fujian Province
National Natural Science Foundation of China
National Key Research and Development Program of China