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Johanns M, Haas JT, Raverdy V, Vandel J, Chevalier-Dubois J, Guille L, Derudas B, Legendre B, Caiazzo R, Verkindt H, Gnemmi V, Leteurtre E, Derhourhi M, Bonnefond A, Froguel P, Eeckhoute J, Lassailly G, Mathurin P, Pattou F, Staels B, Lefebvre P. Time-of-day-dependent variation of the human liver transcriptome and metabolome is disrupted in MASLD. JHEP Rep 2024; 6:100948. [PMID: 38125300 PMCID: PMC10730870 DOI: 10.1016/j.jhepr.2023.100948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 10/12/2023] [Accepted: 10/14/2023] [Indexed: 12/23/2023] Open
Abstract
Background & Aims Liver homeostasis is ensured in part by time-of-day-dependent processes, many of them being paced by the molecular circadian clock. Liver functions are compromised in metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH), and clock disruption increases susceptibility to MASLD progression in rodent models. We therefore investigated whether the time-of-day-dependent transcriptome and metabolome are significantly altered in human steatotic and MASH livers. Methods Liver biopsies, collected within an 8 h-window from a carefully phenotyped cohort of 290 patients and histologically diagnosed to be either normal, steatotic or MASH hepatic tissues, were analyzed by RNA sequencing and unbiased metabolomic approaches. Time-of-day-dependent gene expression patterns and metabolomes were identified and compared between histologically normal, steatotic and MASH livers. Results Herein, we provide a first-of-its-kind report of a daytime-resolved human liver transcriptome-metabolome and associated alterations in MASLD. Transcriptomic analysis showed a robustness of core molecular clock components in steatotic and MASH livers. It also revealed stage-specific, time-of-day-dependent alterations of hundreds of transcripts involved in cell-to-cell communication, intracellular signaling and metabolism. Similarly, rhythmic amino acid and lipid metabolomes were affected in pathological livers. Both TNFα and PPARγ signaling were predicted as important contributors to altered rhythmicity. Conclusion MASLD progression to MASH perturbs time-of-day-dependent processes in human livers, while the differential expression of core molecular clock components is maintained. Impact and implications This work characterizes the rhythmic patterns of the transcriptome and metabolome in the human liver. Using a cohort of well-phenotyped patients (n = 290) for whom the time-of-day at biopsy collection was known, we show that time-of-day variations observed in histologically normal livers are gradually perturbed in liver steatosis and metabolic dysfunction-associated steatohepatitis. Importantly, these observations, albeit obtained across a restricted time window, provide further support for preclinical studies demonstrating alterations of rhythmic patterns in diseased livers. On a practical note, this study indicates the importance of considering time-of-day as a critical biological variable which may significantly affect data interpretation in animal and human studies of liver diseases.
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Affiliation(s)
- Manuel Johanns
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1011-EGID, F-59000 Lille, France
| | - Joel T. Haas
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1011-EGID, F-59000 Lille, France
| | - Violetta Raverdy
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1190-EGID, F-59000 Lille, France
| | - Jimmy Vandel
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1011-EGID, F-59000 Lille, France
| | - Julie Chevalier-Dubois
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1011-EGID, F-59000 Lille, France
| | - Loic Guille
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1011-EGID, F-59000 Lille, France
| | - Bruno Derudas
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1011-EGID, F-59000 Lille, France
| | - Benjamin Legendre
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1190-EGID, F-59000 Lille, France
| | - Robert Caiazzo
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1190-EGID, F-59000 Lille, France
| | - Helene Verkindt
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1190-EGID, F-59000 Lille, France
| | | | | | - Mehdi Derhourhi
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR 1283/8199-EGID, F-59000 Lille, France
| | - Amélie Bonnefond
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR 1283/8199-EGID, F-59000 Lille, France
- Department of Metabolism, Imperial College London; London, United Kingdom
| | - Philippe Froguel
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR 1283/8199-EGID, F-59000 Lille, France
- Department of Metabolism, Imperial College London; London, United Kingdom
| | - Jérôme Eeckhoute
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1011-EGID, F-59000 Lille, France
| | | | | | - François Pattou
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1190-EGID, F-59000 Lille, France
| | - Bart Staels
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1011-EGID, F-59000 Lille, France
| | - Philippe Lefebvre
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, UMR1011-EGID, F-59000 Lille, France
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