The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Increased intrahepatic triglyceride is associated with peripheral insulin resistance: in vivo MR imaging and spectroscopy studies
Abstract
Recent studies have indicated that the mass/content of intramyocellular lipid (IMCL), intrahepatic triglyceride (IHTG), visceral fat (VF), and even deep abdominal subcutaneous fat (SF) may all be correlated with insulin resistance. Since simultaneous measurements of these parameters have not been reported, the relative strength of their associations with insulin action is not known. Therefore, the goals of this study were 1) to simultaneously measure IMCL, IHTG, VF, and abdominal SF in the same nondiabetic individuals using noninvasive (1)H-magnetic resonance spectroscopy (MRS) and magnetic resonance imaging (MRI) and 2) to examine how these fat stores are correlated with systemic insulin sensitivity as measured by whole body glucose disposal (R(d)) during euglycemic-hyperinsulinemic clamp studies. Positive correlations were observed among IMCL, IHTG, and VF. There were significant inverse correlations between whole body R(d) and both IMCL and VF. Notably, there was a particularly tight inverse correlation between IHTG and whole body R(d) (r = -0.86, P < 0.001), consistent with an association between liver fat and peripheral insulin sensitivity. This novel finding suggests that hepatic triglyceride accumulation has important systemic consequences that may adversely affect insulin sensitivity in other tissues.
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“Interestingly, hepatic lipid accumulation is also a robust predictor of not only hepatic, but also muscle and adipose insulin sensitivity [better than intraabdominal fat, body mass index (BMI), or other obesity measures] (217, 218).”
From The role of mitochondria in the pathogenesis of type 2 diabetes (2010) · cites this paper as [217]
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Cites
Nonalcoholic Fatty Liver Disease
Marchesini, G., Brizi, M., Bianchi, G., Tomassetti, S., Bugianesi, E., Lenzi, M., McCullough, A. J., Natale, S., Forlani, G., & Melchionda, N. (2001) · Diabetes · doi:10.2337/diabetes.50.8.1844 · Cited by 2,581
Local and systemic insulin resistance resulting from hepatic activation of IKK-β and NF-κB
Cai, D., Yuan, M., Frantz, D. F., Melendez, P. A., Hansen, L., Lee, J., & Shoelson, S. E. (2005) · Nature Medicine · doi:10.1038/nm1166 · Cited by 2,245
Triglyceride accumulation protects against fatty acid-induced lipotoxicity
Listenberger, L. L., Han, X., Lewis, S. E., Cases, S., Farese, R. V., Ory, D. S., & Schaffer, J. E. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0630588100 · Cited by 2,075
Leptin stimulates fatty-acid oxidation by activating AMP-activated protein kinase
Minokoshi, Y., Kim, Y.-B., Peroni, O. D., Fryer, L. G. D., Müller, C., Carling, D., & Kahn, B. B. (2002) · Nature · doi:10.1038/415339a · Cited by 2,053
McGarry, J. D. (2002) · Diabetes · doi:10.2337/diabetes.51.1.7 · Cited by 1,435
Lewis, G. F., Carpentier, A. C., Adeli, K., & Giacca, A. (2002) · Endocrine Reviews · doi:10.1210/edrv.23.2.0461 · Cited by 1,370
Krssak, M., Falk Petersen, K., Dresner, A., DiPietro, L., Vogel, S. M., Rothman, D. L., Shulman, G. I., & Roden, M. (1999) · Diabetologia · doi:10.1007/s001250051123 · Cited by 1,264
Skeletal Muscle Triglyceride Levels Are Inversely Related to Insulin Action
Pan, D. A., Lillioja, S., Kriketos, A. D., Milner, M. R., Baur, L. A., Bogardus, C., Jenkins, A. B., & Storlien, L. H. (1997) · Diabetes · doi:10.2337/diab.46.6.983 · Cited by 1,179
Skeletal muscle triglyceride levels are inversely related to insulin action
Pan, D. A., Lillioja, S., Kriketos, A. D., Milner, M. R., Baur, L. A., Bogardus, C., Jenkins, A. B., & Storlien, L. H. (1997) · Diabetes · doi:10.2337/diabetes.46.6.983 · Cited by 1,179
Goodpaster, B. H., Leland Thaete, F., Simoneau, J.-A., & Kelley, D. E. (1997) · Diabetes · doi:10.2337/diacare.46.10.1579 · Cited by 1,012
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- 10.1210/jcem.87.7.8638 · DOI · Paper page
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The worldwide epidemiology of type 2 diabetes mellitus—present and future perspectives
Chen, L., Magliano, D. J., & Zimmet, P. Z. (2012) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2011.183 · Cited by 2,227
Obesity and nonalcoholic fatty liver disease: biochemical, metabolic, and clinical implications
Fabbrini, E., Sullivan, S., & Klein, S. (2010) · Hepatology · doi:10.1002/hep.23280 · Cited by 2,100
Intrahepatic fat, not visceral fat, is linked with metabolic complications of obesity
Fabbrini, E., Magkos, F., Mohammed, B. S., Pietka, T., Abumrad, N. A., Patterson, B. W., Okunade, A., & Klein, S. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904944106 · Cited by 972
Mechanisms of hepatic triglyceride accumulation in non-alcoholic fatty liver disease
Kawano, Y., & Cohen, D. E. (2013) · Journal of Gastroenterology · doi:10.1007/s00535-013-0758-5 · Cited by 1,009
Assessing Adiposity: A Scientific Statement From the American Heart Association
Cornier, M.-A., Després, J.-P., Davis, N., Grossniklaus, D. A., Klein, S., Lamarche, B., Lopez-Jimenez, F., Rao, G., St-Onge, M.-P., Towfighi, A., et al. (2011) · Circulation · doi:10.1161/cir.0b013e318233bc6a · Cited by 945
Metadata
- Authors
- Hwang, J.-H., Stein, D. T., Barzilai, N., Cui, M.-H., Tonelli, J., Kishore, P., & Hawkins, M.
- Affiliations
- Albert Einstein College of Medicine (US)
- Yeshiva University (US)
- Venue
- American Journal of Physiology-Endocrinology and Metabolism
- Publisher
- American Physiological Society
- Published
- 2007-12
- Volume
- 293
- Issue
- 6
- Pages
- E1663-E1669
- ISSN
- 0193-1849 (ISSN-L)
- 1522-1555
- OpenAlex
- W2069477523
- Cited by
- 188
- References
- 46
- Citations by year
- 2025: 3 · 2024: 6 · 2023: 7 · 2022: 8 · 2021: 5 · 2020: 5 · 2019: 11 · 2018: 4 · 2017: 17 · 2016: 10 · 2015: 11 · 2014: 16 · 2013: 15 · 2012: 13
- FWCI
- 9.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Physiology-Endocrinology and Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (P01AG021654)
- National Institute of Diabetes and Digestive and Kidney Diseases (5R01-DK-048321-14, R01DK048321, 5R01-DK-069861-02, P60DK020541, P60DK20541, R01DK069861)
- National Center for Research Resources (K12-RR-17672, M01RR012248, K12RR017672)
- Topics
- Health Sciences › Medicine › Hepatology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- intrahepatic triglyceride, peripheral insulin resistance, intramyocellular lipid, visceral fat, subcutaneous abdominal fat, hepatic lipid accumulation, insulin sensitivity, hyperinsulinemic-euglycemic clamp, 1H magnetic resonance spectroscopy, magnetic resonance imaging
- MeSH terms
- Adult, Humans, Insulin Resistance, Lipids, Liver, Magnetic Resonance Imaging, Male, Middle Aged, Magnetic Resonance Spectroscopy, Triglycerides, Tumor Necrosis Factor-alpha, Glucose Clamp Technique, Interleukin-6, Muscle, Skeletal, Chemokine CCL2, Leptin, Intra-Abdominal Fat, Lipid Metabolism, Subcutaneous Fat, Abdominal, Adiponectin, Resistin
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