The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Regulatory enzymes of mitochondrial β‐oxidation as targets for treatment of the metabolic syndrome
Open accessAbstract
Summary: Insulin sensitizers like metformin generally act through pathways triggered by adenosine monophosphate‐activated protein kinase. Carnitine palmitoyltransferase 1 (CPT1) controls mitochondrial β‐oxidation and is inhibited by malonyl‐CoA, the product of acetyl‐CoA carboxylase (ACC). The adenosine monophosphate‐activated protein kinase‐ACC‐CPT1 axis tightly regulates mitochondrial long‐chain fatty acid oxidation. Evidence indicates that ACC2, the isoform located in close proximity to CPT1, is the major regulator of CPT1 activity. ACC2 as well as CPT1 are therefore potential targets to treat components of the metabolic syndrome such as obesity and insulin resistance. Reversible inhibitors of the liver isoform of CPT1, developed to prevent ketoacidosis and hyperglycemia, have been found to be associated with side effects like hepatic steatosis. However, stimulation of systemic CPT1 activity may be an attractive means to accelerate peripheral fatty acid oxidation and hence improve insulin sensitivity. Stimulation of CPT1 can be achieved by elimination or inhibition of ACC2 activity and through activating transcription factors like peroxisome proliferator‐activated receptors and their protein partners. The latter leads to enhanced CPT1 gene expression. Recent developments are discussed, including a recently identified CPT1 isoform, i.e. CPT1C. This protein is highly expressed in the brain and may provide a target for new tools to prevent obesity.
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
Role of AMP-Activated Protein Kinase in Mechanism of Metformin Action
Zhou, G., Myers, R., Li, Y., Chen, Y., Shen, X., Fenyk-Melody, J., Wu, M., Ventre, J., Doebber, T., Fujii, N., et al. (2001) · Journal of Clinical Investigation · doi:10.1172/jci13505 · Cited by 5,652
The Mitochondrial Carnitine Palmitoyltransferase System — From Concept to Molecular Analysis
McGarry, J. D., & Brown, N. F. (1997) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1997.00001.x · Cited by 1,616 · cited 6×
“This shuttle provides the net transport of LC acyl-CoA across the mitochondrial membranes (2) and is facilitated by three proteins: CPT1, carnitine acylcarnitine translocase and CPT2 (2,9).”
BackgroundInfluentialRegulation of hepatic fatty acid oxidation and ketone body production
McGarry, J. D., & Foster, D. W. (1980) · Annual Review of Biochemistry · doi:10.1146/annurev.bi.49.070180.002143 · Cited by 1,460
Continuous fatty acid oxidation and reduced fat storage in mice lacking acetyl-CoA carboxylase 2
Abu-Elheiga, L., Matzuk, M. M., Abo-Hashema, K. A. H., & Wakil, S. J. (2001) · Science · doi:10.1126/science.1056843 · Cited by 903
Winder, W. W., & Hardie, D. G. (1996) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1996.270.2.e299 · Cited by 799
A possible role for malonyl-CoA in the regulation of hepatic fatty acid oxidation and ketogenesis.
McGarry, J. D., Mannaerts, G. P., & Foster, D. W. (1977) · Journal of Clinical Investigation · doi:10.1172/jci108764 · Cited by 736
Adipose triglyceride lipase and the lipolytic catabolism of cellular fat stores.
Zechner, R., Kienesberger, P. C., Haemmerle, G., Zimmermann, R., & Lass, A. (2009) · Journal of Lipid Research · doi:10.1194/jlr.r800031-jlr200 · Cited by 576
McGarry, J. D., Mills, S. E., Long, C. S., & Foster, D. W. (1983) · Biochemical Journal · doi:10.1042/bj2140021 · Cited by 556
Obici, S., Feng, Z., Arduini, A., Conti, R., & Rossetti, L. (2003) · Nature Medicine · doi:10.1038/nm873 · Cited by 548
Savage, D. B. (2006) · Journal of Clinical Investigation · doi:10.1172/jci27300 · Cited by 447
Cited by
Sirtuins as regulators of metabolism and healthspan
Houtkooper, R. H., Pirinen, E., & Auwerx, J. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3293 · Cited by 2,008
Role of oxidative stress in the pathogenesis of nonalcoholic steatohepatitis
Rolo, A. P., Teodoro, J. S., & Palmeira, C. M. (2012) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2011.10.003 · Cited by 955
The role of fructose in the pathogenesis of NAFLD and the metabolic syndrome
Lim, J. S., Mietus-Snyder, M., Valente, A., Schwarz, J.-M., & Lustig, R. H. (2010) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2010.41 · Cited by 771
Neufeld-Cohen, A., Robles, M. S., Aviram, R., Manella, G., Adamovich, Y., Ladeuix, B., Nir, D., Rousso-Noori, L., Kuperman, Y., Golik, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1519650113 · Cited by 262
Lim, J.-H., Gerhart-Hines, Z., Dominy, J. E., Lee, Y., Kim, S., Tabata, M., Xiang, Y. K., & Puigserver, P. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.415729 · Cited by 212
Beneficial effects of mangiferin on hyperlipidemia in high-fat-fed hamsters
Guo, F., Huang, C., Liao, X., Wang, Y., He, Y., Feng, R., Li, Y., & Sun, C. (2011) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201100392 · Cited by 118
Virmani, A., Pinto, L., Bauermann, O., Zerelli, S., Diedenhofen, A., Binienda, Z. K., Ali, S. F., & van der Leij, F. R. (2015) · Molecular Neurobiology · doi:10.1007/s12035-015-9238-7 · Cited by 69
Self-citationRapid response of the steatosis-sensing hepatokine LECT2 during diet-induced weight cycling in mice
Chikamoto, K., Misu, H., Takayama, H., Kikuchi, A., Ishii, K.-A., Lan, F., Takata, N., Tajima-Shirasaki, N., Takeshita, Y., Tsugane, H., et al. (2016) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2016.08.117 · Cited by 37
Lipocalin 13 regulation of glucose and lipid metabolism in obesity
Zhou, Y., & Rui, L. (2013) · Vitamins & Hormones · doi:10.1016/b978-0-12-407766-9.00015-8 · Cited by 28
Insulin-Independent and Dependent Glucose Transporters in Brain Mural Cells in CADASIL
Panahi, M., Rodriguez, P. R., Fereshtehnejad, S.-M., Arafa, D., Bogdanovic, N., Winblad, B., Cedazo-Minguez, A., Rinne, J., Darreh-Shori, T., Hase, Y., et al. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.01022 · Cited by 9
Metadata
- Authors
- Schreurs, M., Kuipers, F., & Van Der Leij, F. R.
- Venue
- Obesity Reviews
- Publisher
- Wiley
- Published
- 2010-04-14
- Volume
- 11
- Issue
- 5
- Pages
- 380-388
- ISSN
- 1467-7881 (ISSN-L)
- 1467-789X
- OpenAlex
- W2127012454
- Cited by
- 296
- References
- 18
- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- green
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.
