The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Gene variants, insulin resistance, and dyslipidaemia
Abstract
PURPOSE OF REVIEW: Both insulin resistance and dyslipidaemia are determined by genetic and environmental factors. Depending on their expression and their function, gene variants (mutations, polymorphisms) can primarily regulate either insulin action or dyslipidaemia. The purpose of this review is to give some examples from recent studies on gene variants regulating primarily insulin signalling or lipoprotein metabolism. RECENT FINDINGS: Common polymorphisms in the PC-1, insulin receptor substrate 1 and 2, and PPAR-gamma 2 genes have been linked to insulin resistance and dyslipidaemia, although the results have not been consistent. However, the Pro12Pro genotype of the PPAR-gamma 2 gene has been consistently associated with insulin resistance and the risk of type 2 diabetes. Promoter polymorphisms in the hepatic lipase gene, the 54Thr allele of the fatty acid binding protein 2 gene, and genes regulating LDL particle size have been associated with lipid metabolism, but on the other hand their association with insulin resistance is not consistent. SUMMARY: Although results have not always been consistent, gene variants affecting primary insulin action or dyslipidaemia, and particularly their interaction with the environment, are important modulators of glucose and lipoprotein metabolism.
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“For example, a variety of polymorphisms in genes affecting lipoprotein metabolism are associated with worsening of dyslipidemia in obese people.55,56”
From Diagnosis and Management of the Metabolic Syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement (2005) · cites this paper as [55]
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The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes
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Self-citationIRS proteins and the common path to diabetes
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Minireview: Lipid Metabolism, Metabolic Diseases, and Peroxisome Proliferator-Activated Receptors
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Insulin Resistance Syndrome Predicts Coronary Heart Disease Events in Elderly Nondiabetic Men
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- Camejo, 2003, ), 134, 36
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Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Circulation · doi:10.1161/circulationaha.105.169404 · Cited by 11,961
A comprehensive review on metabolic syndrome
Kaur, J. (2014) · Cardiology Research and Practice · doi:10.1155/2014/943162 · Cited by 1,889
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Han, T. S., & Lean, M. E. (2016) · JRSM Cardiovascular Disease · doi:10.1177/2048004016633371 · Cited by 500
Diagnosis and management of the metabolic syndrome
Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Current Opinion in Cardiology · doi:10.1097/01.hco.0000200416.65370.a0 · Cited by 437
n−3 Fatty acids and the metabolic syndrome
Carpentier, Y., Portois, L., & Malaisse, W. J. (2006) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/83.6.1499s · Cited by 286
Metadata
- Authors
- Laakso, M.
- Affiliations
- University of Eastern Finland (FI)
- Corresponding author
- Laakso, Markku
- ORCID
- Laakso, Markku
- Venue
- Current Opinion in Lipidology
- Published
- 2004-04
- Volume
- 15
- Issue
- 2
- Pages
- 115-120
- ISSN
- 0957-9672 (ISSN-L)
- OpenAlex
- W2028058870
- Cited by
- 43
- References
- 36
- Citations by year
- 2023: 1 · 2019: 3 · 2016: 3 · 2015: 2 · 2014: 1 · 2013: 1 · 2012: 1
- FWCI
- 0.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Lipidology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- genetic variants, insulin resistance, dyslipidemia, type 2 diabetes, insulin signaling, lipoprotein metabolism, PPARγ2, Pro12Ala polymorphism, hepatic lipase, fatty acid binding protein 2, LDL particle size, insulin receptor substrate, genetic polymorphism, gene-environment interaction
- MeSH terms
- Alleles, Humans, Hyperlipidemias, Insulin Resistance, Phosphoric Diester Hydrolases, Pyrophosphatases, Risk Factors, Genetic Variation, PPAR gamma
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