The DOI matches its Crossref record; 41 of the 43 references it cites were found in a registry or an index.
Relationship Between Hepatic/Visceral Fat and Hepatic Insulin Resistance in Nondiabetic and Type 2 Diabetic Subjects
Open accessAbstract
Background and aims Abdominal fat accumulation (visceral/hepatic) has been associated with hepatic insulin resistance (IR) in obesity and type 2 diabetes (T2DM). We examined the relationship between visceral/hepatic fat accumulation and hepatic IR/accelerated gluconeogenesis (GNG).Methods In 14 normal glucose tolerant (NGT) (body mass index [BMI] = 25 +/- 1 kg/m(2)) and 43 T2DM (24 nonobese, BMI = 26 +/- 1; 19 obese, BMI = 32 +/- 1 kg/m(2)) subjects, we measured endogenous (hepatic) glucose production (3-(3)H-glucose) and GNG ((2)H(2)O) in the basal state and during 240 pmol/m(2)/min euglycemic-hyperinsulinemic clamp, and liver (LF) subcutaneous (SAT)/visceral (VAT) fat content by magnetic resonance spectroscopy/magnetic resonance imaging.Results LF was increased in lean T2DM compared with lean NGT (18% +/- 3% vs 9% +/- 2%, P < .03), but was similar in lean T2DM and obese T2DM (18% +/- 3% vs 22% +/- 3%; P = NS). Both VAT and SAT increased progressively from lean NGT to lean T2DM to obese T2DM. T2DM had increased basal endogenous glucose production (EGP) (NGT, 15.1 +/- 0.5; lean T2DM, 16.3 +/- 0.4; obese T2DM, 17.2 +/- 0.6 micromol/min/kg(ffm); P = .02) and basal GNG flux (NGT, 8.6 +/- 0.4; lean T2DM, 9.6 +/- 0.4; obese T2DM, 11.1 +/- 0.6 micromol/min/kg(ffm); P = .02). Basal hepatic IR index (EGP x fasting plasma insulin) was increased in T2DM (NGT, 816 +/- 54; lean T2DM, 1252 +/- 164; obese T2DM, 1810 +/- 210; P = .007). In T2DM, after accounting for age, sex, and BMI, both LF and VAT, but not SAT, were correlated significantly (P < .05) with basal hepatic IR and residual EGP during insulin clamp. Basal percentage of GNG and GNG flux were correlated positively with VAT (P < .05), but not with LF. LF, but not VAT, was correlated with fasting insulin, insulin-stimulated glucose disposal, and impaired FFA suppression by insulin (all P < .05).Conclusions Abdominal adiposity significantly affects both lipid (FFA) and glucose metabolism. Excess VAT primarily increases GNG flux. Both VAT and LF are associated with hepatic IR.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Except for a recent study of Gastaldelli et al, 17 who found no difference in insulin clearance between lean normal subjects and lean or obese type 2 diabetic patients, there are no studies in which carefully matched groups of type 2 diabetic patients and nondiabetic subjects would have been compared with respect to liver fat, hepatic insulin sensitivity, and insulin clearance.”
From Increased liver fat, impaired insulin clearance, and hepatic and adipose tissue insulin resistance in type 2 diabetes. (2008) · cites this paper as [17]
In the citing paper
“In small groups of diabetic patients, insulin clearance has reported to be normal, 16 -18 decreased, 19,20 or even increased.21”
From Increased liver fat, impaired insulin clearance, and hepatic and adipose tissue insulin resistance in type 2 diabetes. (2008) · cites this paper as [17]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Glucose clamp technique: a method for quantifying insulin secretion and resistance.
DeFronzo, R. A., Tobin, J. D., & Andres, R. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.237.3.e214 · Cited by 7,425
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
Nonalcoholic steatohepatitis: association of insulin resistance and mitochondrial abnormalities
Sanyal, A. J., Campbell–Sargent, C., Mirshahi, F., Rizzo, W. B., Contos, M. J., Sterling, R. K., Luketic, V. A., Shiffman, M. L., & Clore, J. N. (2001) · Gastroenterology · doi:10.1053/gast.2001.23256 · Cited by 2,078
A placebo-controlled trial of pioglitazone in subjects with nonalcoholic steatohepatitis
Belfort, R., Harrison, S. A., Brown, K., Darland, C., Finch, J., Hardies, J., Balas, B., Gastaldelli, A., Tio, F., Pulcini, J., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa060326 · Cited by 1,827
Association of nonalcoholic fatty liver disease with insulin resistance
Marchesini, G., Brizi, M., Morselli‐Labate, A. M., Bianchi, G. P., Bugianesi, E., McCullough, A. J., Forlani, G., & Melchionda, N. (1999) · The American Journal of Medicine · doi:10.1016/s0002-9343(99)00271-5 · Cited by 1,570
Mechanism of hepatic insulin resistance in non-alcoholic fatty liver disease
Samuel, V. T., Liu, Z.-X., Qu, X., Elder, B. D., Bilz, S., Befroy, D., Romanelli, A. J., & Shulman, G. I. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m313478200 · Cited by 1,322
Insulin resistance: a metabolic pathway to chronic liver disease
Bugianesi, E., McCullough, A. J., & Marchesini, G. (2005) · Hepatology · doi:10.1002/hep.20920 · Cited by 900
Measurement of Size and Turnover Rate of Body Glucose Pool by the Isotope Dilution Method
Steele, R., Wall, J. S., de Bodo, R. C., & Altszuler, N. (1956) · American Journal of Physiology-Legacy Content · doi:10.1152/ajplegacy.1956.187.1.15 · Cited by 816
Groop, L. C., Bonadonna, R. C., DelPrato, S., Ratheiser, K., Zyck, K., Ferrannini, E., & DeFronzo, R. A. (1989) · Journal of Clinical Investigation · doi:10.1172/jci114142 · Cited by 812
Bugianesi, E., Gastaldelli, A., Vanni, E., Gambino, R., Cassader, M., Baldi, S., Ponti, V., Pagano, G., Ferrannini, E., & Rizzetto, M. (2005) · Diabetologia · doi:10.1007/s00125-005-1682-x · Cited by 770
Research works printed but not linked: 1
- Matsuda, 1997, Relationship between insulin sensitivity in adipose tissue, liver, muscle and components of the insulin resistance syndrome, Diabetes, 46, 68A
Cited by
Sorted by citations
EASL–EASD–EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease
(2016) · Journal of Hepatology · doi:10.1016/j.jhep.2015.11.004 · Cited by 4,836
Mechanisms of Insulin Action and Insulin Resistance
Petersen, M. C., & Shulman, G. I. (2018) · Physiological Reviews · doi:10.1152/physrev.00063.2017 · Cited by 3,028
Non-alcoholic fatty liver disease as a cause and a consequence of metabolic syndrome
Yki‐Järvinen, H. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70032-4 · Cited by 1,296
Lim, E. L., Hollingsworth, K. G., Aribisala, B. S., Chen, M. J., Mathers, J. C., & Taylor, R. (2011) · Diabetologia · doi:10.1007/s00125-011-2204-7 · Cited by 1,164
A position statement on NAFLD/NASH based on the EASL 2009 special conference
Ratziu, V., Bellentani, S., Cortez‐Pinto, H., Day, C., & Marchesini, G. (2010) · Journal of Hepatology · doi:10.1016/j.jhep.2010.04.008 · Cited by 1,083
Metadata
- Authors
- Gastaldelli, A., Cusi, K., Pettiti, M., Hardies, J., Miyazaki, Y., Berria, R., Buzzigoli, E., Sironi, A. M., Cersosimo, E., Ferrannini, E., & DeFronzo, R. A.
- Affiliations
- The University of Texas at San Antonio Health Science Center (US)
- Istituto di Fisiologia Clinica (IT)
- University of Pisa (IT)
- Corresponding author
- Gastaldelli, Amalia
- Venue
- Gastroenterology
- Publisher
- Elsevier BV
- Published
- 2007-08
- Volume
- 133
- Issue
- 2
- Pages
- 496-506
- ISSN
- 0016-5085 (ISSN-L)
- OpenAlex
- W2136226749
- Cited by
- 629
- References
- 43
- Citations by year
- 2026: 25 · 2025: 25 · 2024: 33 · 2023: 40 · 2022: 40 · 2021: 40 · 2020: 27 · 2019: 41 · 2018: 36 · 2017: 47 · 2016: 34 · 2015: 26 · 2014: 39 · 2013: 37 · 2012: 33
- FWCI
- 16.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Gastroenterology (publishedVersion)
- PubMed (publishedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases (DK 24092)
- National Center for Research Resources (M01RR01346, M01RR001346)
- 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 › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- hepatic insulin resistance, visceral fat, liver fat, abdominal fat accumulation, type 2 diabetes, obesity, hepatic glucose production, gluconeogenesis, hepatic steatosis, hyperinsulinemic-euglycemic clamp, subcutaneous adipose tissue, hepatic lipid accumulation, hepatic lipogenesis, hepatic lipolysis
- MeSH terms
- Adult, Aging, Blood Glucose, Diabetes Mellitus, Type 2, Female, Gluconeogenesis, Humans, Insulin, Insulin Resistance, Liver, Magnetic Resonance Imaging, Male, Middle Aged, Magnetic Resonance Spectroscopy, Obesity, Glucose Clamp Technique, Body Mass Index, Abdominal Fat, Glycogenolysis, Lipid Metabolism
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 ›
Are you an author, or do you see a problem with this page? Request a review