Back

Time-of-day-dependent variation of the hepatic transcriptome and metabolome is disrupted in non-alcoholic fatty liver disease patients

JOHANNS, M.; HAAS, J. T.; RAVERDY, V.; VANDEL, J.; CHEVALIER-DUBOIS, J.; GUILLE, L.; DERUDAS, B.; LEGENDRE, B.; CAIAZZO, R.; VERKINDT, H.; GNEMMI, V.; LETEURTRE, E.; DERHOUDI, M.; BONNEFOND, A.; FROGUEL, P.; Eeckhoute, J.; LASSAILLY, G.; MATHURIN, P.; PATTOU, F.; Staels, B.; LEFEBVRE, P.

2023-04-06 genomics
10.1101/2023.04.05.535334 bioRxiv
Show abstract

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 non-alcoholic fatty liver (NAFL) and non-alcoholic steatohepatitis (NASH), and clock disruption increases susceptibility to non-alcoholic fatty liver disease (NAFLD) progression in rodent models. We therefore investigated whether time-of-day-dependent transcriptome and metabolome are significantly altered in human NAFL and NASH livers. Liver biopsies, collected within an 8 hour- window from a carefully phenotyped cohort of 290 patients and histologically diagnosed to be either normal, NAFL or NASH 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, NAFL and NASH livers. We provide here a first-of-its-kind report of a daytime-resolved human liver transcriptome-metabolome and associated alterations in NAFLD. Transcriptomic analysis showed a robustness of core molecular clock components in NAFL and NASH livers. It also revealed stage-specific, time-of-day- dependent alterations of hundreds of transcripts involved in cell-to-cell communication, intra- cellular signaling and metabolism. Similarly, rhythmic amino acid and lipid metabolomes were affected in pathological livers. Both TNFa and PPAR{gamma} signaling are predicted as important contributors to altered rhythmicity. NAFLD progression to NASH perturbs time-of-day-dependent processes in human livers, while core molecular clock component differential expression is maintained.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Hepatology Communications
22 papers in training set
Top 0.1%
13.3%
2
Physiological Genomics
16 papers in training set
Top 0.1%
12.0%
3
Cellular and Molecular Gastroenterology and Hepatology
46 papers in training set
Top 0.1%
11.2%
4
Molecular Metabolism
112 papers in training set
Top 0.4%
6.3%
5
eLife
5828 papers in training set
Top 18%
6.3%
6
Genome Medicine
183 papers in training set
Top 1%
3.6%
50% of probability mass above
7
Scientific Reports
3612 papers in training set
Top 36%
3.1%
8
Nature Communications
5641 papers in training set
Top 41%
2.1%
9
iScience
1154 papers in training set
Top 12%
2.1%
10
Frontiers in Endocrinology
58 papers in training set
Top 0.6%
1.9%
11
eBioMedicine
183 papers in training set
Top 2%
1.7%
12
Molecular Medicine
11 papers in training set
Top 0.1%
1.5%
13
Life Science Alliance
285 papers in training set
Top 4%
1.3%
14
International Journal of Molecular Sciences
494 papers in training set
Top 11%
1.1%
15
Cell Reports
1498 papers in training set
Top 23%
1.1%
16
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
26 papers in training set
Top 0.6%
1.1%
17
JCI Insight
277 papers in training set
Top 6%
1.1%
18
JHEP Reports
11 papers in training set
Top 0.2%
1.0%
19
Molecular Systems Biology
162 papers in training set
Top 3%
1.0%
20
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 38%
1.0%
21
PLOS ONE
5266 papers in training set
Top 59%
0.9%
22
Frontiers in Immunology
638 papers in training set
Top 9%
0.9%
23
Cell Reports Medicine
153 papers in training set
Top 4%
0.9%
24
American Journal of Physiology-Endocrinology and Metabolism
36 papers in training set
Top 0.5%
0.9%
25
BMC Genomics
406 papers in training set
Top 8%
0.9%
26
Hepatology
22 papers in training set
Top 0.4%
0.9%
27
Gastroenterology
42 papers in training set
Top 1.0%
0.9%
28
The FASEB Journal
194 papers in training set
Top 5%
0.9%
29
NAR Genomics and Bioinformatics
242 papers in training set
Top 4%
0.9%
30
The Journal of Pathology
26 papers in training set
Top 0.8%
0.9%