The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
Etiology of Metabolic Syndrome and Dietary Intervention
Open accessAbstract
The growing prevalence of metabolic syndrome (MetS) in the U.S. and even worldwide is becoming a serious health problem and economic burden. MetS has become a crucial risk factor for the development of type 2 diabetes mellitus (T2D) and cardiovascular diseases (CVD). The rising rates of CVD and diabetes, which are the two leading causes of death, simultaneously exist. To prevent the progression of MetS to diabetes and CVD, we have to understand how MetS occurs and how it progresses. Too many causative factors interact with each other, making the investigation and treatment of metabolic syndrome a very complex issue. Recently, a number of studies were conducted to investigate mechanisms and interventions of MetS, from different aspects. In this review, the proposed and demonstrated mechanisms of MetS pathogenesis are discussed and summarized. More importantly, different interventions are discussed, so that health practitioners can have a better understanding of the most recent research progress and have available references for their daily practice.
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Alberti, K. G. M. M., Eckel, R. H., Grundy, S. M., Zimmet, P. Z., Cleeman, J. I., Donato, K. A., Fruchart, J.-C., James, W. P. T., Loria, C. M., & Smith, S. C. (2009) · Circulation · doi:10.1161/circulationaha.109.192644 · Cited by 14,860
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154
The metabolic syndrome—a new worldwide definition
Alberti, K. G. M., Zimmet, P., & Shaw, J. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67402-8 · Cited by 9,352
How mitochondria produce reactive oxygen species
Murphy, M. P. (2009) · Biochemical Journal · doi:10.1042/bj20081386 · Cited by 8,207
Oxidative stress and diabetic complications
Giacco, F., & Brownlee, M. (2010) · Circulation Research · doi:10.1161/circresaha.110.223545 · Cited by 5,461
Prevalence of Obesity Among Adults and Youth: United States, 2015-2016.
Hales, C. M., Carroll, M. D., Fryar, C. D., & Ogden, C. L. (2017) · PubMed · Cited by 3,884
Obesity and Metabolic Syndrome in Circadian Clock Mutant Mice
Turek, F. W., Joshu, C., Kohsaka, A., Lin, E., Ivanova, G., McDearmon, E., Laposky, A., Losee-Olson, S., Easton, A., Jensen, D. R., et al. (2005) · Science · doi:10.1126/science.1108750 · Cited by 2,485
Oh, D. Y., Talukdar, S., Bae, E. J., Imamura, T., Morinaga, H., Fan, W., Li, P., Lu, W. J., Watkins, S. M., & Olefsky, J. M. (2010) · Cell · doi:10.1016/j.cell.2010.07.041 · Cited by 2,428 · cited 1×
“Omega-3 (ω-3) fatty acids have been proposed to serve as a dietary intervention for reducing obesity-associated inflammation and insulin resistance [84,85].”
Adipocyte dysfunctions linking obesity to insulin resistance and type 2 diabetes.
Guilherme, A., Virbasius, J. V., Puri, V., & Czech, M. P. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2391 · Cited by 2,292
Disruption of IRS-2 causes type 2 diabetes in mice
Withers, D. J., Gutierrez, J. S., Towery, H., Burks, D. J., Ren, J.-M., Previs, S., Zhang, Y., Bernal, D., Pons, S., Shulman, G. I., et al. (1998) · Nature · doi:10.1038/36116 · Cited by 1,775
Cited by
Short-chain fatty acids in diseases
Zhang, D., Jian, Y.-P., Zhang, Y.-N., Li, Y., Gu, L.-T., Sun, H.-H., Liu, M.-D., Zhou, H.-L., Wang, Y.-S., & Xu, Z.-X. (2023) · Cell Communication and Signaling · doi:10.1186/s12964-023-01219-9 · Cited by 718
Facchin, S., Bertin, L., Bonazzi, E., Lorenzon, G., De Barba, C., Barberio, B., Zingone, F., Maniero, D., Scarpa, M., Ruffolo, C., et al. (2024) · Life · doi:10.3390/life14050559 · Cited by 380
Caudet, J., Trelis, M., Cifre, S., Tapia, G., Soriano, J. M., Rodrigo, R., & Merino-Torres, J. F. (2022) · Antioxidants · doi:10.3390/antiox11112090 · Cited by 6
Pelczyńska, M., Mikulska, A. A., Czyżewska, K., Bogdański, P., & Grzelak, T. (2021) · Biomolecules · doi:10.3390/biom11121863 · Cited by 5
Ghalandari, H., Askarpour, M., Nouri, M., Safarpour, A. R., Fattahi, M. R., & Akbarzadeh, M. (2023) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2023.04.017 · Cited by 3
Metadata
- Authors
- Xu, H., Li, X., Adams, H., Kubena, K., & Guo, S.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2018-12-31
- Volume
- 20
- Issue
- 1
- Pages
- 128
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2907471688
- Cited by
- 257
- References
- 128
- FWCI
- 13.64
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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