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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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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
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 ›
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