Back

Female-specific m6A remodeling in the liver correlates with post-transcriptional metabolic adaptation to high fat diet

Krylova, S. V.; Horton, M.; Bucciarelli, G.; Liu, L.; Berrigan, J.; Cutler, R.; Chandran, K.; Snyder, N. W.; Tebaldi, T.; Sidoli, S.; Singh, K.; Pessin, J. E.

2026-07-08 systems biology
10.64898/2026.06.19.733425 bioRxiv
Show abstract

Sex differences strongly influence susceptibility to metabolic dysfunction-associated steatotic liver disease (MASLD), yet the regulatory mechanisms underlying these differences remain incompletely understood. To examine sex-specific hepatic adaptation to a high-fat (HF) diet mouse model of MASLD, we integrated proteomics, transcriptomics, and Oxford Nanopore direct RNA sequencing for transcriptome-wide m6A profiling in male and female mouse livers. Female mice were relatively protected from HF diet-induced hepatic steatosis and exhibited distinct proteome remodeling enriched for peroxisomal pathways. In contrast, transcriptomic responses in females were dominated by inflammatory signatures and did not recapitulate the metabolic adaptations observed at the protein level, revealing extensive RNA-protein discordance and post-transcriptional remodeling. Integrated RNA-protein analyses identified female-specific amplification of peroxisomal proteins despite modest transcript-level changes. HF diet also induced sex-specific remodeling of m6A RNA methylation and altered regulation of the m6A methylation system. Notably, reduced 3' UTR m6A methylation of peroxisomal transcripts inversely correlated with increased protein abundance relative to RNA expression in female mice. Together, these findings implicate m6A-associated post-transcriptional regulation in sex-specific hepatic adaptation to HF diet exposure and the basis for discordance between many of the mRNAs and proteins in the liver.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Nature Metabolism
69 papers in training set
Top 0.1%
15.5%
2
Nature Communications
5641 papers in training set
Top 15%
12.2%
3
eLife
5828 papers in training set
Top 8%
11.3%
4
Cell Reports
1498 papers in training set
Top 3%
8.1%
5
Molecular Metabolism
112 papers in training set
Top 0.5%
4.4%
50% of probability mass above
6
Science Advances
1243 papers in training set
Top 12%
2.9%
7
iScience
1154 papers in training set
Top 12%
2.2%
8
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 25%
2.0%
9
JCI Insight
277 papers in training set
Top 4%
1.8%
10
Journal of Lipid Research
39 papers in training set
Top 0.3%
1.8%
11
Scientific Reports
3612 papers in training set
Top 58%
1.5%
12
Endocrinology
43 papers in training set
Top 0.4%
1.5%
13
Science Signaling
65 papers in training set
Top 0.8%
1.4%
14
Development
497 papers in training set
Top 4%
1.2%
15
Nature Aging
60 papers in training set
Top 1%
1.2%
16
Nature Immunology
79 papers in training set
Top 2%
1.2%
17
Genome Medicine
183 papers in training set
Top 4%
1.2%
18
The Journal of Clinical Endocrinology & Metabolism
36 papers in training set
Top 0.6%
1.2%
19
The FEBS Journal
93 papers in training set
Top 1%
1.2%
20
Communications Biology
993 papers in training set
Top 25%
1.1%
21
Diabetes
56 papers in training set
Top 0.7%
1.0%
22
Arteriosclerosis, Thrombosis, and Vascular Biology
71 papers in training set
Top 1%
1.0%
23
Genome Research
468 papers in training set
Top 6%
0.9%
24
Life Science Alliance
285 papers in training set
Top 7%
0.9%
25
JHEP Reports
11 papers in training set
Top 0.3%
0.6%
26
The EMBO Journal
309 papers in training set
Top 7%
0.6%
27
Journal of Hepatology
21 papers in training set
Top 0.4%
0.6%
28
PLOS ONE
5266 papers in training set
Top 63%
0.6%
29
Molecular Neurodegeneration
55 papers in training set
Top 2%
0.6%
30
American Journal of Respiratory Cell and Molecular Biology
43 papers in training set
Top 0.7%
0.6%