The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Liver PPARα is crucial for whole-body fatty acid homeostasis and is protective against NAFLD
Open accessAbstract
Objective: Peroxisome proliferator-activated receptor α (PPARα) is a nuclear receptor expressed in tissues with high oxidative activity that plays a central role in metabolism. In this work, we investigated the effect of hepatocyte PPARα on non-alcoholic fatty liver disease (NAFLD). Design: We constructed a novel hepatocyte-specific PPARα knockout ( Pparα hep−/− ) mouse model. Using this novel model, we performed transcriptomic analysis following fenofibrate treatment. Next, we investigated which physiological challenges impact on PPARα. Moreover, we measured the contribution of hepatocytic PPARα activity to whole-body metabolism and fibroblast growth factor 21 production during fasting. Finally, we determined the influence of hepatocyte-specific PPARα deficiency in different models of steatosis and during ageing. Results: Hepatocyte PPARα deletion impaired fatty acid catabolism, resulting in hepatic lipid accumulation during fasting and in two preclinical models of steatosis. Fasting mice showed acute PPARα-dependent hepatocyte activity during early night, with correspondingly increased circulating free fatty acids, which could be further stimulated by adipocyte lipolysis. Fasting led to mild hypoglycaemia and hypothermia in Pparα hep−/− mice when compared with Ppar α −/− mice implying a role of PPARα activity in non-hepatic tissues. In agreement with this observation, Pparα −/− mice became overweight during ageing while Ppar α hep−/− remained lean. However, like Ppar α −/− mice, Ppar α hep−/− fed a standard diet developed hepatic steatosis in ageing. Conclusions: Altogether, these findings underscore the potential of hepatocyte PPARα as a drug target for NAFLD.
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
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
Braissant, O., Foufelle, F., Scotto, C., Dauça, M., & Wahli, W. (1996) · Endocrinology · doi:10.1210/endo.137.1.8536636 · Cited by 2,217
Self-citationMolecular mediators of hepatic steatosis and liver injury
Browning, J. D., & Horton, J. D. (2004) · Journal of Clinical Investigation · doi:10.1172/jci200422422 · Cited by 1,772
Badman, M. K., Pissios, P., Kennedy, A. R., Koukos, G., Flier, J. S., & Maratos-Flier, E. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.05.002 · Cited by 1,495
Circulating FGF21 Is Liver Derived and Enhances Glucose Uptake During Refeeding and Overfeeding
Markan, K. R., Naber, M. C., Ameka, M. K., Anderegg, M. D., Mangelsdorf, D. J., Kliewer, S. A., Mohammadi, M., & Potthoff, M. J. (2014) · Diabetes · doi:10.2337/db14-0595 · Cited by 590
Staels, B., Rubenstrunk, A., Noel, B., Rigou, G., Delataille, P., Millatt, L. J., Baron, M., Lucas, A., Tailleux, A., Hum, D. W., et al. (2013) · Hepatology · doi:10.1002/hep.26461 · Cited by 414
Fisher, F. M., Chui, P. C., Nasser, I. A., Popov, Y., Cunniff, J. C., Lundasen, T., Kharitonenkov, A., Schuppan, D., Flier, J. S., & Maratos-Flier, E. (2014) · Gastroenterology · doi:10.1053/j.gastro.2014.07.044 · Cited by 263
Activating transcription factor 4-dependent induction of FGF21 during amino acid deprivation
De Sousa-Coelho, A. L., Marrero, P. F., & Haro, D. (2012) · Biochemical Journal · doi:10.1042/bj20111748 · Cited by 246
Glucose induces FGF21 mRNA expression through ChREBP activation in rat hepatocytes
Iizuka, K., Takeda, J., & Horikawa, Y. (2009) · FEBS Letters · doi:10.1016/j.febslet.2009.07.053 · Cited by 187
Cited by
Molecular Actions of PPARα in Lipid Metabolism and Inflammation
Bougarne, N., Weyers, B., Desmet, S. J., Deckers, J., Ray, D. W., Staels, B., & De Bosscher, K. (2018) · Endocrine Reviews · doi:10.1210/er.2018-00064 · Cited by 898
PPARs in Obesity-Induced T2DM, Dyslipidaemia and NAFLD
Gross, B., Pawlak, M., Lefebvre, P., & Staels, B. (2017) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.135 · Cited by 778
Li, G., Xie, C., Lu, S., Nichols, R. G., Tian, Y., Li, L., Patel, D., Ma, Y., Brocker, C. N., Yan, T., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.08.019 · Cited by 667
The endocrine function of adipose tissues in health and cardiometabolic disease
Scheja, L., & Heeren, J. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0230-6 · Cited by 663
Targeting fibrosis: mechanisms and clinical trials
Zhao, M., Wang, L., Wang, M., Zhou, S., Lu, Y., Cui, H., Racanelli, A. C., Zhang, L., Ye, T., Ding, B., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01070-3 · Cited by 547
Health benefits of dietary marine DHA/EPA-enriched glycerophospholipids
Zhang, T.-T., Xu, J., Wang, Y.-M., & Xue, C.-H. (2019) · Progress in Lipid Research · doi:10.1016/j.plipres.2019.100997 · Cited by 339
Nonalcoholic steatohepatitis: the role of peroxisome proliferator-activated receptors
Francque, S., Szabo, G., Abdelmalek, M. F., Byrne, C. D., Cusi, K., Dufour, J.-F., Roden, M., Sacks, F., & Tacke, F. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-00366-5 · Cited by 316
Lefere, S., Puengel, T., Hundertmark, J., Penners, C., Frank, A. K., Guillot, A., de Muynck, K., Heymann, F., Adarbes, V., Defrêne, E., et al. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.04.025 · Cited by 310
PPARs as Nuclear Receptors for Nutrient and Energy Metabolism
Hong, F., Pan, S., Guo, Y., Xu, P., & Zhai, Y. (2019) · Molecules · doi:10.3390/molecules24142545 · Cited by 233
Autophagy regulates lipid metabolism through selective turnover of NCoR1
Saito, T., Kuma, A., Sugiura, Y., Ichimura, Y., Obata, M., Kitamura, H., Okuda, S., Lee, H.-C., Ikeda, K., Kanegae, Y., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08829-3 · Cited by 193
A Specific ChREBP and PPARα Cross-Talk Is Required for the Glucose-Mediated FGF21 Response
Iroz, A., Montagner, A., Benhamed, F., Levavasseur, F., Polizzi, A., Anthony, E., Régnier, M., Fouché, E., Lukowicz, C., Cauzac, M., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.09.065 · Cited by 128
Self-citationHepatic transcriptional responses to fasting and feeding
Bideyan, L., Nagari, R., & Tontonoz, P. (2021) · Genes & Development · doi:10.1101/gad.348340.121 · Cited by 126
Berthier, A., Johanns, M., Zummo, F. P., Lefebvre, P., & Staels, B. (2021) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2021.166097 · Cited by 125
Iershov, A., Nemazanyy, I., Alkhoury, C., Girard, M., Barth, E., Cagnard, N., Montagner, A., Chretien, D., Rugarli, E. I., Guillou, H., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09598-9 · Cited by 109
Self-citationThe role of ChREBP in carbohydrate sensing and NAFLD development
Régnier, M., Carbinatti, T., Parlati, L., Benhamed, F., & Postic, C. (2023) · Nature Reviews Endocrinology · doi:10.1038/s41574-023-00809-4 · Cited by 101
Self-citationNuclear receptors linking metabolism, inflammation, and fibrosis in nonalcoholic fatty liver disease
Puengel, T., Liu, H., Guillot, A., Heymann, F., Tacke, F., & Peiseler, M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23052668 · Cited by 95
IL-33 treatment attenuated diet-induced hepatic steatosis but aggravated hepatic fibrosis
Gao, Y., Liu, Y., Yang, M., Guo, X., Zhang, M., Li, H., Li, J., & Zhao, J. (2016) · Oncotarget · doi:10.18632/oncotarget.9259 · Cited by 79
A macrophage-hepatocyte glucocorticoid receptor axis coordinates fasting ketogenesis
Loft, A., Schmidt, S. F., Caratti, G., Stifel, U., Havelund, J., Sekar, R., Kwon, Y., Sulaj, A., Chow, K. K., Alfaro, A. J., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.01.004 · Cited by 76
Single-nucleus RNA-seq2 reveals functional crosstalk between liver zonation and ploidy
Richter, M. L., Deligiannis, I. K., Yin, K., Danese, A., Lleshi, E., Coupland, P., Vallejos, C. A., Matchett, K. P., Henderson, N. C., Colome-Tatche, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24543-5 · Cited by 75
Dynamic repression by BCL6 controls the genome-wide liver response to fasting and steatosis
Sommars, M. A., Ramachandran, K., Senagolage, M. D., Futtner, C. R., Germain, D. M., Allred, A. L., Omura, Y., Bederman, I. R., & Barish, G. D. (2019) · eLife · doi:10.7554/elife.43922 · Cited by 66
Smati, S., Régnier, M., Fougeray, T., Polizzi, A., Fougerat, A., Lasserre, F., Lukowicz, C., Tramunt, B., Guillaume, M., Burnol, A.-F., et al. (2020) · Diabetes & Metabolism · doi:10.1016/j.diabet.2019.05.005 · Cited by 47
Abu Bakar, M. H., Azmi, M. N., Shariff, K. A., & Tan, J. S. (2019) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-018-2920-2 · Cited by 47
Takei, K., Nakagawa, Y., Wang, Y., Han, S.-I., Satoh, A., Sekiya, M., Matsuzaka, T., & Shimano, H. (2017) · Journal of Pharmacological Sciences · doi:10.1016/j.jphs.2017.02.003 · Cited by 43
The interplay between nonalcoholic fatty liver disease and atherosclerotic cardiovascular disease
Finney, A. C., Das, S., Kumar, D., McKinney, M. P., Cai, B., Yurdagul, A., & Rom, O. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1116861 · Cited by 40
EHBP1 suppresses liver fibrosis in metabolic dysfunction-associated steatohepatitis
Ma, F., Longo, M., Meroni, M., Bhattacharya, D., Paolini, E., Mughal, S., Hussain, S., Anand, S. K., Gupta, N., Zhu, Y., et al. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.01.020 · Cited by 29
Guru, B., Tamrakar, A. K., Manjula, S. N., & Prashantha Kumar, B. R. (2022) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2022.175322 · Cited by 18
Comeglio, P., Sarchielli, E., Filippi, S., Cellai, I., Guarnieri, G., Morelli, A., Rastrelli, G., Maseroli, E., Cipriani, S., Mello, T., et al. (2021) · Journal of Endocrinological Investigation · doi:10.1007/s40618-021-01522-7 · Cited by 7
Metadata
- Authors
- Montagner, A., Polizzi, A., Fouché, E., Ducheix, S., Lippi, Y., Lasserre, F., Barquissau, V., Régnier, M., Lukowicz, C., Benhamed, F., Iroz, A., Bertrand-Michel, J., Al Saati, T., Cano, P., Mselli-Lakhal, L., Mithieux, G., Rajas, F., Lagarrigue, S., Pineau, T., Loiseau, N., Postic, C., Langin, D., Wahli, W., & Guillou, H.
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2016-02-01
- Volume
- 65
- Issue
- 7
- Pages
- 1202-1214
- ISSN
- 0017-5749 (ISSN-L)
- 1468-3288
- OpenAlex
- W2257770802
- Cited by
- 736
- References
- 9
- FWCI
- 22.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
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.