The DOI matches its Crossref record; 144 of the 144 references it cites were found in a registry or an index.
Metabolic syndrome: from epidemiology to systems biology
Open accessAbstract
Metabolic syndrome (MetSyn) is a group of metabolic conditions that occur together and promote the development of cardiovascular disease (CVD) and diabetes. Recent genome-wide association studies have identified several novel susceptibility genes for MetSyn traits, and studies in rodent models have provided important molecular insights. However, as yet, only a small fraction of the genetic component is known. Systems-based approaches that integrate genomic, molecular and physiological data are complementing traditional genetic and biochemical approaches to more fully address the complexity of MetSyn.
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Cites
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041
Network biology: understanding the cell's functional organization
Barabási, A.-L., & Oltvai, Z. N. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1272 · Cited by 7,903
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,601
Xu, H., Barnes, G. T., Yang, Q., Tan, G., Yang, D., Chou, C. J., Sole, J., Nichols, A., Ross, J. S., Tartaglia, L. A., et al. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319451 · Cited by 6,760
Ford, E. S., Giles, W. H., & Dietz, W. H. (2002) · JAMA · doi:10.1001/jama.287.3.356 · Cited by 6,698
Eckel, R. H., Alberti, K., Grundy, S. M., & Zimmet, P. Z. (2010) · The Lancet · doi:10.1016/s0140-6736(09)61794-3 · Cited by 6,295
Lippa, N. C., & Sanderson, S. C. (2013) · Human Heredity · doi:10.1159/000353712 · Cited by 6,078
Eckel, R. H., Grundy, S. M., & Zimmet, P. Z. (2005) · The Lancet · doi:10.1016/s0140-6736(05)66378-7 · Cited by 5,550
Cited by
Hirschey, M. D., Shimazu, T., Jing, E., Grueter, C. A., Collins, A. M., Aouizerat, B., Stančáková, A., Goetzman, E., Lam, M. M., Schwer, B., et al. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.07.019 · Cited by 787
“While some genes influence several traits associated with the metabolic syndrome, thus far no single gene influences the entire spectrum (Lusis et al., 2008), and mouse models encompassing a single or several traits of the metabolic syndrome continue to provide a better understanding of the…”
InfluentialThe Number of X Chromosomes Causes Sex Differences in Adiposity in Mice
Chen, X., McClusky, R., Chen, J., Beaven, S. W., Tontonoz, P., Arnold, A. P., & Reue, K. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002709 · Cited by 326
Self-citationSex differences in obesity, lipid metabolism, and inflammation—A role for the sex chromosomes?
Zore, T., Palafox, M., & Reue, K. (2018) · Molecular Metabolism · doi:10.1016/j.molmet.2018.04.003 · Cited by 239
Self-citationObesity I: Overview and molecular and biochemical mechanisms
Lustig, R. H., Collier, D., Kassotis, C., Roepke, T. A., Kim, M. J., Blanc, E., Barouki, R., Bansal, A., Cave, M. C., Chatterjee, S., et al. (2022) · Biochemical Pharmacology · doi:10.1016/j.bcp.2022.115012 · Cited by 203
Toward a unifying hypothesis of metabolic syndrome
Bremer, A. A., Mietus-Snyder, M., & Lustig, R. H. (2012) · PEDIATRICS · doi:10.1542/peds.2011-2912 · Cited by 186
Metadata
- Authors
- Lusis, A. J., Attie, A. D., & Reue, K.
- Venue
- Nature Reviews Genetics
- Published
- 2008-11
- Volume
- 9
- Issue
- 11
- Pages
- 819-830
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2062860983
- Cited by
- 344
- References
- 144
- FWCI
- 1.92
- Type
- journal article
- Language
- en
- Open access
- green
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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.