Serum lipidomic signatures in patients with varying histological severity of metabolic-dysfunction associated steatotic liver disease.
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| Title: | Serum lipidomic signatures in patients with varying histological severity of metabolic-dysfunction associated steatotic liver disease. |
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| Authors: | Muralidharan S; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore., Lee JWJ; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Gastroenterology & Hepatology, National University Hospital, Singapore; iHealthtech, National University of Singapore, Singapore., Lim YS; Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore., Muthiah M; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Gastroenterology & Hepatology, National University Hospital, Singapore., Tan E; Division of Gastroenterology & Hepatology, National University Hospital, Singapore., Demicioglu D; Department of Surgery, National University Hospital, Singapore., Shabbir A; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Surgery, National University Hospital, Singapore., Loo WM; Division of Gastroenterology & Hepatology, National University Hospital, Singapore., Koo CS; Division of Gastroenterology & Hepatology, National University Hospital, Singapore., Lee YM; Division of Gastroenterology & Hepatology, National University Hospital, Singapore., Soon G; Department of Pathology, National University Hospital, Singapore., Wee A; Department of Pathology, National University Hospital, Singapore; Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Halisah N; Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Abbas S; Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Ji S; Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore., Triebl A; Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore., Burla B; Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore., Koh HWL; Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore., Chan YS; Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore., Lee MC; Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore., Ng HH; Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore., Wenk MR; Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore; Precision Medicine Translational Research Programme and Department of Biochemistry, National University of Singapore, Singapore., Torta F; Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore; Precision Medicine Translational Research Programme and Department of Biochemistry, National University of Singapore, Singapore; Signature Research Program in Cardiovascular and Metabolic Disorders, Duke-National University of Singapore (NUS) Medical School, Singapore., Dan YY; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Gastroenterology & Hepatology, National University Hospital, Singapore. Electronic address: mdcdyy@nus.edu.sg. |
| Source: | Metabolism: clinical and experimental [Metabolism] 2025 Jan; Vol. 162, pp. 156063. Date of Electronic Publication: 2024 Nov 08. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 0375267 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8600 (Electronic) Linking ISSN: 00260495 NLM ISO Abbreviation: Metabolism Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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