The DOI matches its Crossref record; 191 of the 191 references it cites were found in a registry or an index.
The role of hepatokines in NAFLD
Open accessAbstract
SUMMARY Non-alcoholic fatty liver disease (NAFLD) is not only a consequence of insulin resistance, but it is also an important cause of insulin resistance and major non-communicable diseases (NCDs). The close relationship of NAFLD with visceral obesity obscures the role of fatty liver from visceral adiposity as the main pathomechanism of insulin resistance and NCDs. To overcome this limitation, in analogy to the concept of adipokines, in 2008 we introduced the term hepatokines to describe the role of fetuin-A in metabolism. Since then, several other hepatokines were tested for their effects on metabolism. Here we address the dysregulation of hepatokines in people with NAFLD. Then, we discuss pathophysiological mechanisms of cardiometabolic diseases specifically related to NAFLD by focusing on hepatokine-related organ crosstalk. Finally, we propose how the determination of major hepatokines and adipokines can be used for pathomechanism-based clustering of insulin resistance in NAFLD and visceral obesity to better implement precision medicine in clinical practice.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
2 retracted
Pearson-Stuttard, J., Zhou, B., Kontis, V., Bentham, J., Gunter, M. J., & Ezzati, M. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30150-5 · Cited by 307
RetractedPearson-Stuttard, J., Zhou, B., Kontis, V., Bentham, J., Gunter, M. J., & Ezzati, M. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30366-2 · Cited by 265
RetractedYounossi, Z. M., Koenig, A. B., Abdelatif, D., Fazel, Y., Henry, L., & Wymer, M. (2016) · Hepatology · doi:10.1002/hep.28431 · Cited by 10,781
The metabolic phenotype in obesity: Fat mass, body fat distribution, and adipose tissue function
Goossens, G. H. (2017) · Obesity Facts · doi:10.1159/000471488 · Cited by 8,481
Abdominal obesity and metabolic syndrome
Després, J.-P., & Lemieux, I. (2006) · Nature · doi:10.1038/nature05488 · Cited by 4,354
Mechanisms of NAFLD development and therapeutic strategies
Friedman, S. L., Neuschwander-Tetri, B. A., Rinella, M., & Sanyal, A. J. (2018) · Nature Medicine · doi:10.1038/s41591-018-0104-9 · Cited by 4,354
Donnelly, K. L., Smith, C. I., Schwarzenberg, S. J., Jessurun, J., Boldt, M. D., & Parks, E. J. (2005) · Journal of Clinical Investigation · doi:10.1172/jci23621 · Cited by 3,604
Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease
Romeo, S., Kozlitina, J., Xing, C., Pertsemlidis, A., Cox, D., Pennacchio, L. A., Boerwinkle, E., Cohen, J. C., & Hobbs, H. H. (2008) · Nature Genetics · doi:10.1038/ng.257 · Cited by 3,416
Non-alcoholic fatty liver disease
Powell, E. E., Wong, V. W.-S., & Rinella, M. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32511-3 · Cited by 2,789
Gakidou, E., Afshin, A., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulle, A. M., Abera, S. F., Aboyans, V., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32366-8 · Cited by 2,406
Cited by
Epidemiology of metabolic dysfunction-associated steatotic liver disease
Younossi, Z. M., Kalligeros, M., & Henry, L. (2025) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2024.0431 · Cited by 960
Inter-organ crosstalk during development and progression of type 2 diabetes mellitus
Xourafa, G., Korbmacher, M., & Roden, M. (2024) · Nature Reviews Endocrinology · doi:10.1038/s41574-023-00898-1 · Cited by 274
Hutchison, A. L., Tavaglione, F., Romeo, S., & Charlton, M. (2023) · Journal of Hepatology · doi:10.1016/j.jhep.2023.08.030 · Cited by 250
Insulin resistance and metabolic flexibility as drivers of liver and cardiac disease in T2DM
Colosimo, S., Mitra, S. K., Chaudhury, T., & Marchesini, G. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.111016 · Cited by 38
MASLD: Prevalence, Mechanisms, and Sex-Based Therapies in Postmenopausal Women
Milani, I., Chinucci, M., Leonetti, F., & Capoccia, D. (2025) · Biomedicines · doi:10.3390/biomedicines13040855 · Cited by 38
“Insulin signaling is crucial for synaptic plasticity, neuroprotection, and neuronal growth [137], which helps explain how insulin resistance, driven by increased VAT and the release of pro-inflammatory cytokines, impairs cognitive function in MASLD [138].”
Metadata
- Authors
- Stefan, N., Schick, F., Birkenfeld, A. L., Häring, H.-U., & White, M. F.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2023-02
- Volume
- 35
- Issue
- 2
- Pages
- 236-252
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W4319346655
- Cited by
- 282
- References
- 191
- FWCI
- 47.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The role of hepatokines in NAFLD. https://app.cochat.ai/papers/10.1016/j.cmet.2023.01.006
- The paper
- Stefan, N., Schick, F., Birkenfeld, A. L., Häring, H.-U., & White, M. F. (2023). The role of hepatokines in NAFLD. Cell Metabolism. https://doi.org/10.1016/j.cmet.2023.01.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
