Cited by 81Diet, Metabolism, and DiseaseLiver Disease Diagnosis and TreatmentAlcohol Consumption and Health Effects

An evolutionary trade-off between host immunity and metabolism drives fatty liver in male mice

Open access
Nikkanen, Joni, Leong, Yew Ann, Krause, William C., Dermadi, Denis, Maschek, J. Alan, Van Ry, Tyler, Cox, James E., Weiss, Ethan J. +3 more·2022·Science

Published version of a preprint

Abstract

Adaptations to infectious and dietary pressures shape mammalian physiology and disease risk. How such adaptations affect sex-biased diseases remains insufficiently studied. In this study, we show that sex-dependent hepatic gene programs confer a robust (~300%) survival advantage for male mice during lethal bacterial infection. The transcription factor B cell lymphoma 6 (BCL6), which masculinizes hepatic gene expression at puberty, is essential for this advantage. However, protection by BCL6 protein comes at a cost during conditions of dietary excess, which result in overt fatty liver and glucose intolerance in males. Deleting hepatic BCL6 reverses these phenotypes but markedly lowers male survival during infection, thus establishing a sex-dependent trade-off between host defense and metabolic systems. Our findings offer strong evidence that some current sex-biased diseases are rooted in ancient evolutionary trade-offs between immunity and metabolism.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/science.abn9886

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Gender differences in the progression of NASH have also been observed in Bcl6 deficient mice.

    “Gender differences in the progression of NASH have also been observed in Bcl6 deficient mice40.”

    From Positive selection of somatically mutated clones identifies adaptive pathways in metabolic liver disease (2023) · cites this paper as [40]

    The passage on hepatic Bcl6 deletion (section labeled Abstract; page unavailable) reports that deleting Bcl6 reduced fatty-liver features in male mice and reduced hepatic triglycerides more subtly in females. That supports a sex difference in fatty-liver outcomes, but the paper does not establish a sex difference in NASH progression in Bcl6-deficient mice. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 27

  1. [1]Wang A, Luan HH, Medzhitov R, Science 363, eaar3932 (2019). PMC6892590 30630899
  2. [3]Benton ML, Nat. Rev. Genet 22, 269– 283 (2021). 33408383 PMC7787134
  3. [4]Di Rienzo A, Hudson RR, Trends Genet. 21, 596– 601 (2005). 16153740
  4. [5]Manus MB, Evol. Med. Public Health 2018, 190– 191 (2018). 30159142 PMC6109377
  5. [6]Lonardo A., Hepatology 70, 1457– 1469 (2019). 30924946 PMC6766425
  6. [7]Mosca L, Barrett-Connor E, Kass Wenger N, Circulation 124, 2145– 2154 (2011). 22064958 PMC3362050
  7. [8]Tramunt B., Diabetologia 63, 453– 461 (2020). 31754750 PMC6997275
  8. [9]Klein SL, Flanagan KL, Nat. Rev. Immunol 16, 626– 638 (2016). 27546235
  9. [10]Fischer AW, Cannon B, Nedergaard J, Mol. Metab 26, 1– 3 (2019). 31155502 PMC6667698
  10. [11]Giles DA, Nat. Med 23, 829– 838 (2017). 28604704 PMC5596511
  11. [12]Ganeshan K., Cell 177, 399– 413.e12 (2019). 30853215 PMC6456449
  12. [13]Salisbury DA, Nat. Metab 3, 940– 953 (2021). 34282353 PMC8422857
  13. [14]Sommars MA, eLife 8, e43922 (2019). PMC6464608 30983568
  14. [15]Meyer RD, Laz EV, Su T, Waxman DJ, Mol. Endocrinol 23, 1914– 1926 (2009). 19797429 PMC2775936
  15. [16]Zhang Y, Laz EV, Waxman DJ, Mol. Cell. Biol 32, 880– 896 (2012). 22158971 PMC3272977
  16. [17]Gallin JI, Kaye D, O’Leary WM, Engl N. J. Med 281, 1081– 1086 (1969). 5824173
  17. [18]Scholl RA, Lang CH, Bagby GJ, J. Surg. Res 37, 394– 401 (1984). 6387277
  18. [19]Maeda N., J. Biol. Chem 269, 23610– 23616 (1994). 8089130
  19. [20]Kersten S, Curr. Opin. Lipidol 30, 205– 211 (2019). 30893111
  20. [21]MacLeod JN, Pampori NA, Shapiro BH, J. Endocrinol 131, 395– 399 (1991). 1783886
  21. [22]Lau-Corona D, Suvorov A, Waxman DJ, Mol. Cell. Biol 37, e00301– 17 (2017). 28694329 PMC5599723
  22. [23]Strawbridge RJ, Growth Horm. IGF Res 17, 392– 398 (2007). 17537658
  23. [24]Saitou M., Sci. Adv 7, eabi4476 (2021). PMC8462886 34559564
  24. [25]Della Torre S., Cell Metab. 28, 256– 267.e5 (2018). 29909969 PMC6084280
  25. [26]Zarulli V., Proc. Natl. Acad. Sci. U.S.A 115, E832– E840 (2018). 29311321 PMC5789901
  26. [27]Kang SJ, Endocr. Pract 27, 1149– 1155 (2021). 34126247
  27. [28]Klein SL, Behav. Processes 51, 149– 166 (2000). 11074318

Cited by

Sorted by citations

Authors
Nikkanen, J., Leong, Y. A., Krause, W. C., Dermadi, D., Maschek, J. A., Van Ry, T., Cox, J. E., Weiss, E. J., Gokcumen, O., Chawla, A., & Ingraham, H. A.
Affiliations
  • University of California, San Francisco (US)
  • Institute of Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • University of Utah (US)
  • Department of Biochemistry, University of Utah, Salt Lake City, UT 84112, USA.
  • Department of Biological Sciences, University at Buffalo, Buffalo, NY 14260, USA.
Corresponding author
  • Chawla, Ajay
  • Ingraham, Holly A.
Venue
Science
Published
2022-10-21
Volume
378
Issue
6617
Pages
290-295
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W4306902090
Cited by
77
References
38
Citations by year
2026: 11 · 2025: 18 · 2024: 19 · 2023: 27 · 2022: 2
FWCI
12.97
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Institutes of Health (1s10od016232-01, 1s10od021505-01, 1s10od018210-01a1)
  • University of California, San Francisco (P30DK026743, 7000/7002124)
  • National Health and Medical Research Council (1142229)
  • National Institute on Aging (R01AG062331)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK121657, R01DK101064, R00DK129763, K99DK129763, P30DK098722, P30DK026743, R01DK094641)
  • Liver Center, University of California, San Francisco (P30 DK026743, DK026743)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
  • Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
Keywords
BCL6, sex differences, hepatic steatosis, hepatic gene expression, bacterial infection, impaired glucose tolerance, puberty, evolutionary trade-offs, male survival
MeSH terms
Host Adaptation, Animals, Bacterial Infections, Biological Evolution, Fatty Liver, Female, Gene Expression Regulation, Liver, Male, Sex Factors, Gene Deletion, Mice, Proto-Oncogene Proteins c-bcl-6

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review