The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Minireview: Lipid Metabolism, Metabolic Diseases, and Peroxisome Proliferator-Activated Receptors
Abstract
Lipid and carbohydrate homeostasis in higher organisms is under the control of an integrated system that has the capacity to rapidly respond to metabolic changes. The peroxisome proliferator-activated receptors (PPARs) are nuclear fatty acid receptors that have been implicated to play an important role in obesity-related metabolic diseases such as hyperlipidemia, insulin resistance, and coronary artery disease. The three PPAR subtypes, alpha, gamma, and delta, have distinct expression patterns and evolved to sense components of different lipoproteins and regulate lipid homeostasis based on the need of a specific tissue. Recent advances in identifying selective ligands in conjunction with microarray analyses and gene targeting studies have helped delineate the subtype-specific functions and the therapeutic potential of these receptors. PPARalpha potentiates fatty acid catabolism in the liver and is the molecular target of the lipid-lowering fibrates (e.g. fenofibrate and gemfibrozil), whereas PPARgamma is essential for adipocyte differentiation and mediates the activity of the insulin-sensitizing thiazolidinediones (e.g. rosiglitazone and pioglitazone). Recent evidence suggests that PPARdelta may be important in controlling triglyceride levels by sensing very low-density lipoprotein. Thus, uncovering the regulatory mechanisms and transcriptional targets of the PPARs will continue to provide insight into the pathogenesis of metabolic diseases and, at the same time, offer valuable information for rational drug design.
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
The adipocyte-secreted protein Acrp30 enhances hepatic insulin action
Berg, A. H., Combs, T. P., Du, X., Brownlee, M., & Scherer, P. E. (2001) · Nature Medicine · doi:10.1038/90992 · Cited by 2,526
Kliewer, S. A., Sundseth, S. S., Jones, S. A., Brown, P. J., Wisely, G. B., Koble, C. S., Devchand, P., Wahli, W., Willson, T. M., Lenhard, J. M., et al. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.9.4318 · Cited by 2,164
Forman, B. M., Chen, J., & Evans, R. M. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.9.4312 · Cited by 2,116
Self-citationBarak, Y., Liao, D., He, W., Ong, E. S., Nelson, M. C., Olefsky, J. M., Boland, R., & Evans, R. M. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012610299 · Cited by 586
Self-citationMartin, G., Schoonjans, K., Lefebvre, A.-M., Staels, B., & Auwerx, J. (1997) · Journal of Biological Chemistry · doi:10.1074/jbc.272.45.28210 · Cited by 551
Michalik, L., Desvergne, B., Tan, N. S., Basu-Modak, S., Escher, P., Rieusset, J., Peters, J. M., Kaya, G., Gonzalez, F. J., Zakany, J., et al. (2001) · The Journal of Cell Biology · doi:10.1083/jcb.200011148 · Cited by 406
Critical roles of PPARβ/δ in keratinocyte response to inflammation
Tan, N. S., Michalik, L., Noy, N., Yasmin, R., Pacot, C., Heim, M., Flühmann, B., Desvergne, B., & Wahli, W. (2001) · Genes & Development · doi:10.1101/gad.207501 · Cited by 398
The Peroxisome Proliferator-activated Receptor δ Promotes Lipid Accumulation in Human Macrophages
Vosper, H., Patel, L., Graham, T. L., Khoudoli, G. A., Hill, A., Macphee, C. H., Pinto, I., Smith, S. A., Suckling, K. E., Wolf, C. R., et al. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m108482200 · Cited by 268
New Perspectives on Atherogenesis: Role of Abnormal Triglyceride-Rich Lipoprotein Metabolism
Ginsberg, H. N. (2002) · Circulation · doi:10.1161/01.cir.0000035280.64322.31 · Cited by 255 · cited 6×
“Future studies in mouse models of atherosclerosis with either drug treatment or PPAR␦deficient bone marrow transplantation will help clarify the role of this receptor in CAD.”
Influential
Cited by
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143
Wallace, D. C. (2005) · Annual Review of Genetics · doi:10.1146/annurev.genet.39.110304.095751 · Cited by 3,185
(1998) · PubMed · Cited by 2,737
Serum retinol binding protein 4 contributes to insulin resistance in obesity and type 2 diabetes
Yang, Q., Graham, T. E., Mody, N., Preitner, F., Peroni, O. D., Zabolotny, J. M., Kotani, K., Quadro, L., & Kahn, B. B. (2005) · Nature · doi:10.1038/nature03711 · Cited by 2,086
Khovidhunkit, W., Kim, M.-S., Memon, R. A., Shigenaga, J. K., Moser, A. H., Feingold, K. R., & Grunfeld, C. (2004) · Journal of Lipid Research · doi:10.1194/jlr.r300019-jlr200 · Cited by 1,481
The Molecular Bases of Training Adaptation
Coffey, V. G., & Hawley, J. A. (2007) · Sports Medicine · doi:10.2165/00007256-200737090-00001 · Cited by 756
Kang, K., Reilly, S. M., Karabacak, V., Gangl, M. R., Fitzgerald, K., Hatano, B., & Lee, C.-H. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.04.002 · Cited by 699
Nuclear receptor corepressor RIP140 regulates fat accumulation
Leonardsson, G., Steel, J. H., Christian, M., Pocock, V., Milligan, S., Bell, J., So, P.-W., Medina-Gomez, G., Vidal-Puig, A., White, R., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0401013101 · Cited by 366
de la Monte, S. M. (2017) · Drugs · doi:10.1007/s40265-016-0674-0 · Cited by 331
Xu, A., Lam, M. C., Chan, K. W., Wang, Y., Zhang, J., Hoo, R. L. C., Xu, J. Y., Chen, B., Chow, W.-S., Tso, A. W. K., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408452102 · Cited by 269
Ohta, T., Masutomi, N., Tsutsui, N., Sakairi, T., Mitchell, M., Milburn, M. V., Ryals, J. A., Beebe, K. D., & Guo, L. (2009) · Toxicologic Pathology · doi:10.1177/0192623309336152 · Cited by 213
Kim, M. S., Sweeney, T. R., Shigenaga, J. K., Chui, L. G., Moser, A., Grunfeld, C., & Feingold, K. R. (2007) · Metabolism · doi:10.1016/j.metabol.2006.10.007 · Cited by 168
Lee, J. H., Chan, J. L., Sourlas, E., Raptopoulos, V., & Mantzoros, C. S. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-1545 · Cited by 163
PPARδ as a therapeutic target in metabolic disease
Reilly, S. M., & Lee, C.-H. (2008) · FEBS Letters · doi:10.1016/j.febslet.2007.11.040 · Cited by 164
Self-citationKrämer, D. K., Al-Khalili, L., Perrini, S., Skogsberg, J., Wretenberg, P., Kannisto, K., Wallberg-Henriksson, H., Ehrenborg, E., Zierath, J. R., & Krook, A. (2005) · Diabetes · doi:10.2337/diabetes.54.4.1157 · Cited by 132
Barrientos, A., Gouget, K., Horn, D., Soto, I. C., & Fontanesi, F. (2009) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2008.05.003 · Cited by 99
Lee, C.-H., Kang, K., Mehl, I. R., Nofsinger, R., Alaynick, W. A., Chong, L.-W., Rosenfeld, J. M., & Evans, R. M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510815103 · Cited by 98
Self-citationLappas, M. (2014) · Metabolism · doi:10.1016/j.metabol.2013.10.001 · Cited by 97
Deveaud, C., Beauvoit, B., Salin, B., Schaeffer, J., & Rigoulet, M. (2004) · Molecular and Cellular Biochemistry · doi:10.1023/b:mcbi.0000049374.52989.9b · Cited by 88
Effects of flaxseed oil supplementation on plasma adiponectin levels in dyslipidemic men
Paschos, G. K., Zampelas, A., Panagiotakos, D. B., Katsiougiannis, S., Griffin, B. A., Votteas, V., & Skopouli, F. N. (2007) · European Journal of Nutrition · doi:10.1007/s00394-007-0668-5 · Cited by 85
Zameer, S., Najmi, A. K., Vohora, D., & Akhtar, M. (2018) · Nutritional Neuroscience · doi:10.1080/1028415x.2017.1327200 · Cited by 74
Sung, C. K., She, H., Xiong, S., & Tsukamoto, H. (2004) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00411.2003 · Cited by 63
Biology and Therapeutic Applications of Peroxisome Proliferator- Activated Receptors
P. Menendez-Gutierrez, M., Roszer, T., & Ricote, M. (2012) · Current Topics in Medicinal Chemistry · doi:10.2174/156802612799436669 · Cited by 62
Infection decreases fatty acid oxidation and nuclear hormone receptors in the diaphragm
Feingold, K. R., Moser, A., Patzek, S. M., Shigenaga, J. K., & Grunfeld, C. (2009) · Journal of Lipid Research · doi:10.1194/jlr.m800655-jlr200 · Cited by 59
Chikahisa, S., Tominaga, K., Kawai, T., Kitaoka, K., Oishi, K., Ishida, N., Rokutan, K., & Séi, H. (2008) · Endocrinology · doi:10.1210/en.2008-0285 · Cited by 57
Gupta, A., Stokes, W., Eguchi, M., Hararah, M., Amini, A., Mueller, A., Morgan, R., Bradley, C., Raben, D., McDermott, J., et al. (2019) · Oral Oncology · doi:10.1016/j.oraloncology.2019.01.019 · Cited by 57
Electrophilic nitro-fatty acids: anti-inflammatory mediators in the vascular compartment
Khoo, N. K., & Freeman, B. A. (2010) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2009.11.003 · Cited by 56
Fatone, C., Guescini, M., Balducci, S., Battistoni, S., Settequattrini, A., Pippi, R., Stocchi, L., Mantuano, M., Stocchi, V., & De Feo, P. (2010) · Journal of Endocrinological Investigation · doi:10.1007/bf03346630 · Cited by 54
Bojic, L. A., Sawyez, C. G., Telford, D. E., Edwards, J. Y., Hegele, R. A., & Huff, M. W. (2012) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.112.255208 · Cited by 51
Quinn, L., Anderson, Conner, Pistilli, & Wolden-Hanson (2011) · International Journal of Interferon Cytokine and Mediator Research · doi:10.2147/ijicmr.s19007 · Cited by 47
Gene variants, insulin resistance, and dyslipidaemia
Laakso, M. (2004) · Current Opinion in Lipidology · doi:10.1097/00041433-200404000-00004 · Cited by 43
Implications of Sortilin in Lipid Metabolism and Lipid Disorder Diseases
Gao, A., Cayabyab, F. S., Chen, X., Yang, J., Wang, L., Peng, T., & Lv, Y. (2017) · DNA and Cell Biology · doi:10.1089/dna.2017.3853 · Cited by 43
Role of lipid-derived mediators in skeletal muscle insulin resistance
Taube, A., Eckardt, K., & Eckel, J. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00241.2009 · Cited by 40
Characteristics of Circadian Gene Expressions in Mice White Adipose Tissue and 3T3-L1 Adipocytes
Aoyagi, T., Shimba, S., & Tezuka, M. (2005) · Journal of Health Science · doi:10.1248/jhs.51.21 · Cited by 37
Arabi, Y. M., Tamimi, W., Jones, G., Jawdat, D., Tamim, H., Al-Dorzi, H. M., Sadat, M., Afesh, L., Sakhija, M., & Al-Dawood, A. (2019) · Nutrients · doi:10.3390/nu11020384 · Cited by 24
Metadata
- Authors
- Lee, C.-H., Olson, P., & Evans, R. M.
- Venue
- Endocrinology
- Publisher
- The Endocrine Society
- Published
- 2003-06
- Volume
- 144
- Issue
- 6
- Pages
- 2201-2207
- ISSN
- 0013-7227 (ISSN-L)
- 1945-7170
- OpenAlex
- W2014259643
- Cited by
- 890
- References
- 9
- FWCI
- 22.84
- Type
- journal article
- Language
- en
- Open access
- closed
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.
