The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Ectopic fat and insulin resistance
Abstract
Ectopic fat is defined by the deposition of triglycerides within cells of non-adipose tissue that normally contain only small amounts of fat. Over the past decade, magnetic resonance spectroscopy has been used extensively for noninvasive quantification of intramyocellular, intrahepatocellular, and more recently myocardial and pancreatic lipids. In liver and muscle, triglyceride content usually correlates with whole-body and tissue-specific insulin sensitivity. However, fat mass and oxidative capacity influence this relationship, indicating that ectopic lipid content is not the only factor that explains insulin resistance. Ectopic lipids may rather serve as biomarkers of the balance between metabolic supply and demand in different states of insulin sensitivity. Consequently, ectopic lipid concentrations, particularly in the liver, decrease with lifestyle- or drug-induced improvement of insulin sensitivity.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“Dysregulation of fatty acid metabolism plays a pivotal role in the pathogenesis of insulin resistance in skeletal muscle.”
From Pathogenesis of insulin resistance in skeletal muscle (2010) · cites this paper as [11]
In the citing paper
“an increased intramyocellar fat content and fatty acid metabolites have been shown to play a pivotal role in the development of insulin resistance in skeletal muscle [11–15].”
From Pathogenesis of insulin resistance in skeletal muscle (2010) · cites this paper as [11]
Citations
Cites
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
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
Self-citationGoodpaster, B. H. (2001) · Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.86.12.5755 · Cited by 1,194
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
The role of skeletal muscle insulin resistance in the pathogenesis of the metabolic syndrome
Petersen, K. F., Dufour, S., Savage, D. B., Bilz, S., Solomon, G., Yonemitsu, S., Cline, G. W., Befroy, D., Zemany, L., Kahn, B. B., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705408104 · Cited by 759
Goodpaster, B. H., Thaete, F. L., & Kelley, D. E. (2000) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/71.4.885 · Cited by 707
Measurement of intracellular triglyceride stores by H spectroscopy: validation in vivo
Szczepaniak, L. S., Babcock, E. E., Schick, F., Dobbins, R. L., Garg, A., Burns, D. K., McGarry, J. D., & Stein, D. T. (1999) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1999.276.5.e977 · Cited by 688
Bays, H., Mandarino, L., & DeFronzo, R. A. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030723 · Cited by 664
Mayerson, A. B., Hundal, R. S., Dufour, S., Lebon, V., Befroy, D., Cline, G. W., Enocksson, S., Inzucchi, S. E., Shulman, G. I., & Petersen, K. F. (2002) · Diabetes · doi:10.2337/diabetes.51.3.797 · Cited by 647
Jacob, S., Machann, J., Rett, K., Brechtel, K., Volk, A., Renn, W., Maerker, E., Matthaei, S., Schick, F., Claussen, C. D., et al. (1999) · Diabetes · doi:10.2337/diabetes.48.5.1113 · Cited by 643
Cardiac Steatosis in Diabetes Mellitus: A 1 H-Magnetic Resonance Spectroscopy Study
McGavock, J. M., Lingvay, I., Zib, I., Tillery, T., Salas, N., Unger, R., Levine, B. D., Raskin, P., Victor, R. G., & Szczepaniak, L. S. (2007) · Circulation · doi:10.1161/circulationaha.106.645614 · Cited by 612
Boden, G., Lebed, B., Schatz, M., Homko, C., & Lemieux, S. (2001) · Diabetes · doi:10.2337/diabetes.50.7.1612 · Cited by 597
Tiikkainen, M., Häkkinen, A.-M., Korsheninnikova, E., Nyman, T., Mäkimattila, S., & Yki-Järvinen, H. (2004) · Diabetes · doi:10.2337/diabetes.53.8.2169 · Cited by 524
Rutter, M. K., Parise, H., Benjamin, E. J., Levy, D., Larson, M. G., Meigs, J. B., Nesto, R. W., Wilson, P. W. F., & Vasan, R. S. (2003) · Circulation · doi:10.1161/01.cir.0000045671.62860.98 · Cited by 511
Samuel, V. T., Liu, Z.-X., Wang, A., Beddow, S. A., Geisler, J. G., Kahn, M., Zhang, X.-M., Monia, B. P., Bhanot, S., & Shulman, G. I. (2007) · Journal of Clinical Investigation · doi:10.1172/jci30400 · Cited by 497
Sinha, R., Dufour, S., Petersen, K. F., LeBon, V., Enoksson, S., Ma, Y.-Z., Savoye, M., Rothman, D. L., Shulman, G. I., & Caprio, S. (2002) · Diabetes · doi:10.2337/diabetes.51.4.1022 · Cited by 495
Szczepaniak, L. S., Dobbins, R. L., Metzger, G. J., Sartoni‐D'Ambrosia, G., Arbique, D., Vongpatanasin, W., Unger, R. H., & Victor, R. G. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10372 · Cited by 441
Kelley, D. E., McKolanis, T. M., Hegazi, R. A. F., Kuller, L. H., & Kalhan, S. C. (2003) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00117.2003 · Cited by 426
Mechanisms of Disease: hepatic steatosis in type 2 diabetes—pathogenesis and clinical relevance
Roden, M. (2006) · Nature Clinical Practice Endocrinology & Metabolism · doi:10.1038/ncpendmet0190 · Cited by 407
Self-citationPancreatic Fat Content and β-Cell Function in Men With and Without Type 2 Diabetes
Tushuizen, M. E., Bunck, M. C. M., Pouwels, P. J. W., Bontemps, S., van Waesberghe, J. H. T., Schindhelm, R. K., Mari, A., Heine, R. J., & Diamant, M. (2007) · Diabetes Care · doi:10.2337/dc07-0326 · Cited by 402
Phillips, D. I. W., Caddy, S., Ilic, V., Fielding, B. A., Frayn, K. N., Borthwick, A. C., & Taylor, R. (1996) · Metabolism · doi:10.1016/s0026-0495(96)90260-7 · Cited by 390
Bachmann, O. P., Dahl, D. B., Brechtel, K., Machann, J., Haap, M., Maier, T., Loviscach, M., Stumvoll, M., Claussen, C. D., Schick, F., et al. (2001) · Diabetes · doi:10.2337/diabetes.50.11.2579 · Cited by 369
Alterations in postprandial hepatic glycogen metabolism in type 2 diabetes.
Krssak, M., Brehm, A., Bernroider, E., Anderwald, C., Nowotny, P., Man, C. D., Cobelli, C., Cline, G. W., Shulman, G. I., Waldhäusl, W., et al. (2004) · Diabetes · doi:10.2337/diabetes.53.12.3048 · Cited by 313
Self-citationPetersen, K. F., Dufour, S., & Shulman, G. I. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020233 · Cited by 308
Muscle Mitochondrial ATP Synthesis and Glucose Transport/Phosphorylation in Type 2 Diabetes
Szendroedi, J., Schmid, A. I., Chmelik, M., Toth, C., Brehm, A., Krssak, M., Nowotny, P., Wolzt, M., Waldhausl, W., & Roden, M. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040154 · Cited by 243
Self-citationIncreased lipid availability impairs insulin-stimulated ATP synthesis in human skeletal muscle
Brehm, A., Krssak, M., Schmid, A. I., Nowotny, P., Waldhäusl, W., & Roden, M. (2006) · Diabetes · doi:10.2337/diabetes.55.01.06.db05-1286 · Cited by 239
Self-citationMuscle Oxidative Capacity Is a Better Predictor of Insulin Sensitivity than Lipid Status
Bruce, C. R., Anderson, M. J., Carey, A. L., Newman, D. G., Bonen, A., Kriketos, A. D., Cooney, G. J., & Hawley, J. A. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030791 · Cited by 234
Thamer, C., Machann, J., Bachmann, O. P., Haap, M. M., Dahl, D. B., Wietek, B., Tschritter, O., Niess, A. M., Brechtel, K., Fritsche, A., et al. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2002-021674 · Cited by 228
Fat content in individual muscle fibers of lean and obese subjects.
Malenfant, P., Joanisse, D., Thériault, R., Goodpaster, B., Kelley, D., & Simoneau, J.-A. (2001) · International Journal of Obesity · doi:10.1038/sj.ijo.0801733 · Cited by 227
Effect of Rosiglitazone on Insulin Sensitivity and Body Composition in Type 2 Diabetic Patients
Carey, D., Cowin, G., Galloway, G. J., Jones, N. P., Richards, J. C., Biswas, N., & Doddrell, D. M. (2002) · Obesity Research · doi:10.1038/oby.2002.137 · Cited by 210
Krššák, M., Petersen, K. F., Bergeron, R., Price, T. B., Laurent, D., Rothman, D. L., Roden, M., & Shulman, G. I. (2000) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.85.2.6354 · Cited by 195
Self-citationPerseghin, G., Lattuada, G., Danna, M., Sereni, L. P., Maffi, P., COBELLI, F. D., Battezzati, A., Secchi, A., Maschio, A. D., & Luzi, L. (2003) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00279.2003 · Cited by 187
Seppala-Lindroos, A. (2002) · Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.87.7.3023 · Cited by 168
Anderwald, C. H., Bernroider, E., Krššák, M., Stingl, H., Brehm, A., Bischof, M. G., Nowotny, P., Roden, M., & Waldhäusl, W. K. (2002) · Diabetes · doi:10.2337/diabetes.51.10.3025 · Cited by 166
Self-citationLiver‐Fat Accumulation and Insulin Resistance in Obese Women with Previous Gestational Diabetes
Tiikkainen, M., Tamminen, M., Häkkinen, A., Bergholm, R., Vehkavaara, S., Halavaara, J. T., Teramo, K., Rissanen, A., & Yki‐Järvinen, H. (2002) · Obesity Research · doi:10.1038/oby.2002.118 · Cited by 165
Dietary fat content alters insulin-mediated glucose metabolism in healthy men
Bisschop, P. H. L. T., de Metz, J., Ackermans, M. T., Endert, E., Pijl, H., Kuipers, F., Meijer, A. J., Sauerwein, H. P., & Romijn, J. A. (2001) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.3.554 · Cited by 165
Guo, X., Rao, J. N., Liu, L., Zou, T.-T., Turner, D. J., Bass, B. L., & Wang, J.-Y. (2003) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00015.2003 · Cited by 153
Kautzky-Willer, A., Krssak, M., Winzer, C., Pacini, G., Tura, A., Farhan, S., Wagner, O., Brabant, G., Horn, R., Stingl, H., et al. (2003) · Diabetes · doi:10.2337/diabetes.52.2.244 · Cited by 150
Self-citationRoden, M. (2005) · International Journal of Obesity · doi:10.1038/sj.ijo.0803102 · Cited by 149
Self-citationJuurinen, L., Tiikkainen, M., Häkkinen, A.-M., Hakkarainen, A., & Yki-Järvinen, H. (2007) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00133.2006 · Cited by 141
Hwang, J.-H., Pan, J. W., Heydari, S., Hetherington, H. P., & Stein, D. T. (2001) · Journal of Applied Physiology · doi:10.1152/jappl.2001.90.4.1267 · Cited by 137
van der Meer, R. W., Doornbos, J., Kozerke, S., Schär, M., Bax, J. J., Hammer, S., Smit, J. W. A., Romijn, J. A., Diamant, M., Rijzewijk, L. J., et al. (2007) · Radiology · doi:10.1148/radiol.2451061904 · Cited by 120
Brechtel, K., Niess, A. M., Machann, J., Kristian, R. E. T. T., Schick, F., Claussen, C., Dickhuth, H. ‐., Haering, H. U., & Jacob, S. (2001) · Hormone and Metabolic Research · doi:10.1055/s-2001-12407 · Cited by 114
Intramyocellular Lipid Content and Molecular Adaptations in Response to a 1‐Week High‐Fat Diet
Schrauwen‐Hinderling, V. B., Kooi, M. E., Hesselink, M. K. C., Moonen‐Kornips, E., Schaart, G., Mustard, K. J., Hardie, D. G., Saris, W. H. M., Nicolay, K., & Schrauwen, P. (2005) · Obesity Research · doi:10.1038/oby.2005.259 · Cited by 112
Fasting for 72 h increases intramyocellular lipid content in nondiabetic, physically fit men
Stannard, S. R., Thompson, M. W., Fairbairn, K., Huard, B., Sachinwalla, T., & Thompson, C. H. (2002) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00108.2002 · Cited by 108
Teranishi, T., Ohara, T., Maeda, K., Zenibayashi, M., Kouyama, K., Hirota, Y., Kawamitsu, H., Fujii, M., Sugimura, K., & Kasuga, M. (2007) · Metabolism · doi:10.1016/j.metabol.2007.06.005 · Cited by 93
Zib, I., Jacob, A. N., Lingvay, I., Salinas, K., McGavock, J., Raskin, P., & Szczepaniak, L. S. (2007) · Journal of Investigative Medicine · doi:10.2310/6650.2007.00003 · Cited by 79
Perseghin, G., Scifo, P., Danna, M., Battezzati, A., Benedini, S., Meneghini, E., Maschio, A. D., & Luzi, L. (2002) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00127.2002 · Cited by 69
Krssak, M., & Roden, M. (2004) · Reviews in Endocrine and Metabolic Disorders · doi:10.1023/b:remd.0000021434.98627.dc · Cited by 68
Self-citationJuurinen, L., Kotronen, A., Granér, M., & Yki‐Järvinen, H. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-1825 · Cited by 57
Carbohydrate-induced manipulation of insulin sensitivity independently of intramyocellular lipids
Goff, L. M., Frost, G. S., Hamilton, G., Thomas, E. L., Dhillo, W. S., Dornhorst, A., & Bell, J. D. (2003) · British Journal Of Nutrition · doi:10.1079/bjn2002789 · Cited by 34
Research works printed but not linked: 1
- Brehm A: Comparison of the effects of glimepiride vs. pioglitazone+nateglinide therapy on insulin sensitivity and ectopic fat storage in well-controlled type 2 diabetes. Diabetes 2005, 54(Suppl 1):A381.
Cited by
Sorted by citations
Pathogenesis of insulin resistance in skeletal muscle
Abdul-Ghani, M. A., & DeFronzo, R. A. (2010) · Journal of Biomedicine and Biotechnology · doi:10.1155/2010/476279 · Cited by 670
Ectopic lipids and organ function.
Szendroedi, J., & Roden, M. (2009) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e328321b3a8 · Cited by 200
Self-citationImpact of different ectopic fat depots on cardiovascular and metabolic diseases
Ferrara, D., Montecucco, F., Dallegri, F., & Carbone, F. (2019) · Journal of Cellular Physiology · doi:10.1002/jcp.28821 · Cited by 195
Dietary Protein and Energy Balance in Relation to Obesity and Co-morbidities
Drummen, M., Tischmann, L., Gatta-Cherifi, B., Adam, T., & Westerterp-Plantenga, M. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00443 · Cited by 156
Dietary fructose as a risk factor for non-alcoholic fatty liver disease (NAFLD)
Alwahsh, S. M., & Gebhardt, R. (2016) · Archives of Toxicology · doi:10.1007/s00204-016-1892-7 · Cited by 143
Metadata
- Authors
- Lettner, A., & Roden, M.
- Affiliations
- Hanusch Hospital (AT)
- Corresponding author
- Roden, Michael
- ORCID
- Roden, Michael
- Venue
- Current Diabetes Reports
- Published
- 2008-06
- Volume
- 8
- Issue
- 3
- Pages
- 185-191
- ISSN
- 1534-4827 (ISSN-L)
- 1539-0829
- OpenAlex
- W2151826036
- Cited by
- 106
- References
- 51
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 4 · 2023: 8 · 2022: 5 · 2021: 3 · 2020: 5 · 2019: 10 · 2018: 8 · 2017: 4 · 2016: 4 · 2015: 2 · 2014: 13 · 2013: 11 · 2012: 10
- FWCI
- 0.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Current Diabetes Reports (publishedVersion)
- PubMed (publishedVersion)
- 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 › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- ectopic fat, insulin resistance, intramyocellular lipid, myocardial lipids, magnetic resonance spectroscopy, insulin sensitivity, oxidative capacity, fat mass, biomarkers, lifestyle intervention
- MeSH terms
- Animals, Choristoma, Humans, Insulin, Insulin Resistance, Obesity, Pancreas, Triglycerides
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
