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Intramyocellular lipid concentrations are correlated with insulin sensitivity in humans: a 1 H NMR spectroscopy study
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Recent muscle biopsy studies have shown a relation between intramuscular lipid content and insulin resistance. The aim of this study was to test this relation in humans by using a novel proton nuclear magnetic resonance (1H NMR) spectroscopy technique, which enables non-invasive and rapid (approximately 45 min) determination of intramyocellular lipid (IMCL) content. Normal weight non-diabetic adults (n = 23, age 29+/-2 years. BMI = 24.1+/-0.5 kg/m2) were studied using cross-sectional analysis. Insulin sensitivity was assessed by a 2-h hyperinsulinaemic (approximately 450 pmol/l)-euglycaemic (approximately 5 mmol/l) clamp test. Intramyocellular lipid concentrations were determined by using localized 1H NMR spectroscopy of soleus muscle. Simple linear regression analysis showed an inverse correlation (r = -0.579, p = 0.0037) [corrected] between intramyocellular lipid content and M-value (100-120 min of clamp) as well as between fasting plasma non-esterified fatty acid concentration and M-value (r = -0.54, p = 0.0267). Intramyocellular lipid content was not related to BMI, age and fasting plasma concentrations of triglycerides, non-esterified fatty acids, glucose or insulin. These results show that intramyocellular lipid concentration, as assessed non invasively by localized 1H NMR spectroscopy, is a good indicator of whole body insulin sensitivity in non-diabetic, non-obese humans.
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“Even small amounts of weight loss induced by a negative energy balance affects many variables pertaining to body-fat composition and lipid metabolism -variables that probably contribute to the metabolic abnormalities associated with obesity.[22][23][24][25]”
From Absence of an Effect of Liposuction on Insulin Action and Risk Factors for Coronary Heart Disease (2004) · cites this paper as [23]
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In the citing paper
“Even small amounts of weight loss induced by a negative energy balance affects many variables pertaining to body-fat composition and lipid metabolism -variables that probably contribute to the metabolic abnormalities associated with obesity.[22][23][24][25]”
From Absence of an Effect of Liposuction on Insulin Action and Risk Factors for Coronary Heart Disease (2004) · cites this paper as [23]
Experimental — accuracy not yet measuredIn the citing paper
“More recent studies [55, 56] using magnetic resonance spectroscopy have demonstrated that although IMCL fat content contributes only a small fraction (~1%) to the total muscle fat content, it plays a key role in the development of insulin resistance in skeletal muscle compared to EMCL.”
From Pathogenesis of insulin resistance in skeletal muscle (2010) · cites this paper as [56]
In the citing paper
“Muscle insulin resistance strongly correlates with IMCL, independent of total body fat mass and diabetes status [56], while the correlation between EMCL and insulin ressitance is not significant.”
From Pathogenesis of insulin resistance in skeletal muscle (2010) · cites this paper as [56]
In the citing paper
“(i) in insulin resistant individuals, insulin-stimulated glucose disposal correlates more strongly with intramyocellar fat content than with the extramtocellar fat [55, 56];”
From Pathogenesis of insulin resistance in skeletal muscle (2010) · cites this paper as [56]
In the citing paper
“Using 1H magnetic resonance spectroscopy (MRS) to noninvasively assess IMCL content revealed that IMCL was an excellent predictor for muscle insulin resistance in sedentary individuals (Krssak et al., 1999)”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Krssak et al., 1999
In the citing paper
“and disrupt metabolism (insulin resistance, diabetes)”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Krssak et al., 1999
In the citing paper
“Myosteatosis is also linked to insulin resistance.”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Krssak et al., 1999
In the citing paper
“IMCL is a strong predictor of insulin resistance in sedentary individuals (Krssak et al., 1999) and muscle insulin resistance can be induced within 5-hours of a lipid infusion in healthy individuals (Dresner et al., 1999), and a fatty acid derived-metabolite (e.g., DAG) has been suggested to be responsible for mediating reduced insulin signaling and insulin action.”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Krssak et al., 1999
In the citing paper
“These lipids interfere with insulin signaling and represent one of the key aspects that could contribute to insulin resistance in situations of high-fat feeding or lipid infusion (Pan et al, 1997; Krssak et al, 1999; Goodpaster et al, 2000).”
From Mitochondrial response to nutrient availability and its role in metabolic disease (2014) · cites this paper as Krssak et al, 1999
In the citing paper
“Although it is clear that insulin resistance plays a major role in the pathogenesis of T2DM”
From Increased prevalence of insulin resistance and nonalcoholic fatty liver disease in Asian-Indian men (2006) · cites this paper as [9]
In the citing paper
“and that insulin resistance is strongly associated with increases in hepatic (HTG) and ∕ or intramyocellular lipid content”
From Increased prevalence of insulin resistance and nonalcoholic fatty liver disease in Asian-Indian men (2006) · cites this paper as [9]
In the citing paper
“In support of this notion, intramyocellular lipids represent a better predictor of muscle insulin resistance compared to adiposity in young, sedentary, lean subjects (Krssak et al., 1999).”
From Mitochondrial (Dys)function and Insulin Resistance: From Pathophysiological Molecular Mechanisms to the Impact of Diet (2019) · cites this paper as Krssak et al., 1999
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Citations
Cites
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154
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
Banting lecture 1988. Role of insulin resistance in human disease.
Reaven, G. (1988) · Diabetes · doi:10.2337/diabetes.37.12.1595 · Cited by 3,801
Mechanism of free fatty acid-induced insulin resistance in humans.
Roden, M., Price, T. B., Perseghin, G., Petersen, K. F., Rothman, D. L., Cline, G. W., & Shulman, G. I. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118742 · Cited by 1,539
Self-citationSkeletal 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
Storlien, L. H., Jenkins, A. B., Chisholm, D. J., Pascoe, W. S., Khouri, S., & Kraegen, E. W. (1991) · Diabetes · doi:10.2337/diab.40.2.280 · Cited by 967
Frahm, J., Bruhn, H., Gyngell, M. L., Merboldt, K. D., Hänicke, W., & Sauter, R. (1989) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910090110 · Cited by 711
Boesch, C., Slotboom, J., Hoppeler, H. H., & Kreis, R. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370403 · Cited by 420
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
Cited by
Sorted by citations
Items 901–998 of 998
Tzika (2008) · Molecular Medicine Reports · doi:10.3892/mmr_00000033 · Cited by 16
Improvement on Lipid Metabolic Disorder by 3′-Deoxyadenosine in High-Fat-Diet-Induced Fatty Mice
Niu, Y.-J., Tao, R., Liu, Q., Tian, J., Ye, F., Zhu, P., & Zhu, H. (2010) · The American Journal of Chinese Medicine · doi:10.1142/s0192415x10008470 · Cited by 9
Mitochondrial dysfunction and insulin resistance: a matter of lifestyle?
L??, K.-A., Tappy, L., & Alessio, D. D. (2007) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0b013e3281e72abf · Cited by 9
Antischizophrenic activity independent of dopamine D2 blockade
Kalkman, H. O. (2002) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728222.6.5.571 · Cited by 9
Gaspar, R. C., Sakuma, I., Nasiri, A. R., Hubbard, B. T., LaMoia, T. E., Leitner, B. P., Tep, S., Xi, Y., Greene, E. M., Ullman, J. C., et al. (2024) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00175.2024 · Cited by 8
Self-citationvan Polanen, N., Zacharewicz, E., de Ligt, M., Timmers, S., Moonen‐Kornips, E., Schaart, G., Hoeks, J., Schrauwen, P., & Hesselink, M. K. C. (2021) · Physiological Reports · doi:10.14814/phy2.14692 · Cited by 8
Byun, K.-A., Oh, S., Son, M., Oh, S. E., Park, C.-H., Son, K. H., & Byun, K. (2021) · Nutrients · doi:10.3390/nu13093160 · Cited by 8
Hu, C., Lin, S., & Cai, Z. (2014) · Analytical Methods · doi:10.1039/c4ay01479k · Cited by 8
Shi, W., Hu, S., Wang, W., Zhou, X., & Qiu, W. (2013) · Journal of Diabetes Research · doi:10.1155/2013/163062 · Cited by 8
RetractedDeep subcutaneous adipose tissue lipid unsaturation associates with intramyocellular lipid content
Lundbom, J., Bierwagen, A., Bódis, K. B., Szendrödi, J., Kaprio, J. A., Rissanen, A., Lundbom, N. M. I., Roden, M., & Pietiläinen, K. H. (2016) · Metabolism · doi:10.1016/j.metabol.2016.05.010 · Cited by 8
Self-citationUnderstanding the Impact of Added Sugar Consumption on Risk for Type 2 Diabetes
Price, C. A., & Stanhope, K. L. (2016) · Journal of the California Dental Association · doi:10.1080/19424396.2016.12221068 · Cited by 9
Alhulail, A. A., Patterson, D. A., Xia, P., Zhou, X., Lin, C., Thomas, M. A., Dydak, U., & Emir, U. E. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28228 · Cited by 7
Hu, J., Xia, Y., Shen, Y., Li, J., Zuo, C. S., Xuan, Y., & Jiang, Q. (2004) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20036 · Cited by 8
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Anderwald, C. H. (2009) · The Endocrinologist · doi:10.1097/ten.0b013e3181c0479d · Cited by 8
Evidence That Skeletal Muscles Modulate HDL-Cholesterol in Metabolic Healthy Young Adults
Lonardo, M. S., Guida, B., Cacciapuoti, N., Chiurazzi, M., Pacella, D., & Cataldi, M. (2024) · Nutrients · doi:10.3390/nu16081110 · Cited by 7
1H NMR-Based Metabonomic Analysis of Metabolic Changes of Serum and Liver in Zucker Obese Rats
Zhao, L., Zhang, X., Wang, H., & Lin, D. (2011) · Analytical Letters · doi:10.1080/00032719.2010.520390 · Cited by 7
Role of ectopic fat in the pathogenesis of insulin resistance
Kantartzis, K., Totsikas, C., Häring, H., & Stefan, N. (2009) · Clinical Lipidology · doi:10.2217/clp.09.35 · Cited by 7
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Lovell, A. J., Hoecht, E. M., Hucik, B., Cervone, D. T., & Dyck, D. J. (2022) · Metabolism Open · doi:10.1016/j.metop.2022.100182 · Cited by 7
Ishak, A. R., Puspitaningrum, R., Utari, R. D., Ferania, M., Adhiyanto, C., NITTA, T., Susanto, A., Yukio, H., & Yamashiro, Y. (2014) · HAYATI Journal of Biosciences · doi:10.4308/hjb.21.4.159 · Cited by 8
One-Year Lifestyle Intervention, Muscle Lipids, and Cardiometabolic Risk
Maltais, A., Lemieux, I., Alméras, N., Tremblay, A., Bergeron, J., Poirier, P., & Després, J. (2019) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002030 · Cited by 7
Skeletal muscle lipid metabolism and the adipomuscular axis
Sugden, M. C., & Holness, M. J. (2006) · Future Lipidology · doi:10.2217/17460875.1.2.153 · Cited by 7
Obesity epidemic in children and the emergence of type 2 diabetes
Caprio, S. (2003) · Current Opinion in Endocrinology & Diabetes · doi:10.1097/00060793-200304000-00002 · Cited by 7
Ruderman, N. B., & Shulman, G. I. (2010) · Elsevier eBooks · doi:10.1016/b978-1-4160-5583-9.00044-7 · Cited by 7
Self-citationZukünftige Angriffspunkte für die Therapie des Typ-2-Diabetes
Stingl, H., & Roden, M. (2004) · Wiener klinische Wochenschrift · doi:10.1007/bf03041051 · Cited by 7
Self-citationInsulin Resistance in NAFLD: Potential Mechanisms and Therapies
Samuel, V. T., & Shulman, G. I. (2004) · Wiley eBooks · doi:10.1002/9780470987438.ch4 · Cited by 7
Self-citationIntramyocellular lipids versus intramyocellular triglycerides
Zhou, D., & Guo, Z. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23255 · Cited by 7
Non‐alcoholic Fatty Liver Disease and Insulin Resistance
Petersen, M. C., Samuel, V. T., Petersen, K. F., & Shulman, G. I. (2020) · Wiley eBooks · doi:10.1002/9781119436812.ch37 · Cited by 10
Self-citationGyllenhammer, L. E., & Boyle, K. E. (2025) · Current Obesity Reports · doi:10.1007/s13679-024-00599-4 · Cited by 6
Plin5: A potential therapeutic target for type 2 diabetes mellitus
Wei, M., Wang, Y., Zhang, Y.-F., & Qiao, Y. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-025-01680-1 · Cited by 5
Młynarska, E., Leszto, K., Katańska, K., Prusak, A., Wieczorek, A., Jakubowska, P., Rysz, J., & Franczyk, B. (2025) · Nutrients · doi:10.3390/nu17172860 · Cited by 10
Nichtalkoholische Fettlebererkrankung bei adipösen Kindern und Jugendlichen
Denzer, C. (2013) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-012-1639-4 · Cited by 6
Daemen, S., van Polanen, N., Bilet, L., Esther Phielix, E., Moonen‐Kornips, E., Schrauwen‐Hinderling, V. B., Schrauwen, P., & Hesselink, M. K. C. (2021) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00654.2020 · Cited by 6
Chu, M. P., Klopfenstein, B. J., Krisky, C. M., Urbanski, H. F., Rooney, W. D., Kohama, S. G., & Purnell, J. Q. (2013) · Obesity · doi:10.1002/oby.20339 · Cited by 6
Livingstone, R. S., Grunnet, L. G., Thomas, N., Eapen, A., Antonisamy, B., Mohan, V. R., Spurgeon, R., Frank, I. D., Bygbjerg, I. C., & Vaag, A. A. (2015) · Diabetic Medicine · doi:10.1111/dme.12852 · Cited by 6
Haugaard, S. B., Madsbad, S., Mu, H., & Vaag, A. A. (2009) · International Journal of Obesity · doi:10.1038/ijo.2009.264 · Cited by 6
Treating Diabetes with Exercise – Focus on the Microvasculature
Kolka, C. M. (2013) · Journal of Diabetes & Metabolism · doi:10.4172/2155-6156.1000308 · Cited by 6
Fahimi, M., Kazemikhoo, N., Hashem-Dabaghian, F., Iravani, A., Vahabi, F., Azadi, M., Sadeghi, S., Mirkhani, F., Arjmand, M., Zamani, Z., et al. (2016) · Journal of Skin and Stem Cell · doi:10.5812/jssc.12654 · Cited by 6
Huang, W., Liu, J., Zhao, J., Wang, B., Liu, B., & Xie, M. (2018) · Journal of Traditional Chinese Medical Sciences · doi:10.1016/j.jtcms.2018.03.004 · Cited by 6
Kim, H. R., Kwon, Y. K., Choi, B. K., Jung, H. J., & Baek, D.-G. (2020) · 동의생리병리학회지 · doi:10.15188/kjopp.2020.04.34.2.75 · Cited by 6
Ruderman, N. B., & Shulman, G. I. (2015) · Elsevier eBooks · doi:10.1016/b978-0-323-18907-1.00043-3 · Cited by 7
Self-citationType-2 diabetes related intermediate phenotypic traits in north Indian diabetics
Mathur, S. K., Chandra, P., Mishra, S., Ajmera, P., & Sharma, P. (2007) · Indian Journal of Clinical Biochemistry · doi:10.1007/bf02913317 · Cited by 6
Muscle Mass and Insulin Sensitivity in Children and Adolescents
Dunger, D. B., Salgin, B., & Ong, K. K. (2006) · Hormone Research in Paediatrics · doi:10.1159/000096627 · Cited by 6
The Effects of Aging on Glucose Metabolism
Shih, S., & Tseng, C. (2009) · doi:10.29461/tgg.200902.0003 · Cited by 6
Lakka, H., & Bouchard, C. (2007) · Elsevier eBooks · doi:10.1016/b978-1-4160-0089-1.50008-x · Cited by 6
Metabolic Syndrome and Ethnicity
Tillin, T., & Forouhi, N. G. (2011) · Wiley eBooks · doi:10.1002/9781444347319.ch2 · Cited by 6
Données nouvelles sur les récepteurs PPAR
Vidal, H. (2005) · Annales d Endocrinologie · doi:10.1016/s0003-4266(05)81728-7 · Cited by 7
Re: “Aerobic Exercise Alters Postprandial Lipemia in African American versus White Women”
Burns, S. F., Shannon, K. A., & Potteiger, J. A. (2008) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.18.5.441 · Cited by 6
Krššák, M. (2016) · Wiley eBooks · doi:10.1002/9780470034590.emrstm1490 · Cited by 6
Darcy, J., & Bartke, A. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-25650-0_11 · Cited by 5
Associations of Muscle Density and Area With Coronary Artery Plaque and Physical Function
Erlandson, K. M., Umbleja, T., Lu, M. T., Taron, J., Ribaudo, H. J., Overton, E. T., Presti, R. M., Haas, D. W., Sax, P. E., Yin, M. T., et al. (2023) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000003244 · Cited by 5
Schleh, M. W., Ahn, C., Ryan, B. J., Chugh, O. K., Luker, A. T., Luker, K. E., Gillen, J. B., Ludzki, A. C., Pelt, D. W. V., Pitchford, L. M., et al. (2023) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00093.2023 · Cited by 5
Mahajan, H., Mallinson, P. A. C., Lieber, J., Bhogadi, S., Banjara, S. K., Reddy, V., Reddy, G. B., Kulkarni, B., & Kinra, S. (2024) · Nutrients · doi:10.3390/nu16050746 · Cited by 5
Azhar, M., Watson, L. P. E., Rolfe, E. D. L., Ferraro, M., Carr, K., Worsley, J., Boesch, C., Hodson, L., Chatterjee, K., Kemp, G. J., et al. (2024) · NMR in Biomedicine · doi:10.1002/nbm.5117 · Cited by 5
An NMR Phantom Mimicking Intramyocellular (IMCL) and Extramyocellular Lipids (EMCL)
Gambarota, G., Janiczek, R. L., Mulkern, R. V., & Newbould, R. D. (2012) · Applied Magnetic Resonance · doi:10.1007/s00723-012-0355-4 · Cited by 5
Sequence of fat partitioning and its relationship with whole body insulin resistance.
Xp, B., Hl, L., Yang, W.-Y., Jz, X., Wang, B., Lou, D.-J., & Rq, D. (2010) · PubMed · Cited by 5
Hioki, M., Kanehira, N., Koike, T., Saito, A., Takahashi, H., Shimaoka, K., Sakakibara, H., Oshida, Y., & Akima, H. (2021) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-021-04456-6 · Cited by 6
Raja, G. K., Sarzynski, M. A., Katzmarzyk, P. T., Johnson, W. D., Tchoukalova, Y. D., Smith, S. R., & Bouchard, C. (2013) · International Journal of Obesity · doi:10.1038/ijo.2013.153 · Cited by 5
Sex Differences in Exercise Performance and Exercise Training Among Persons with Type 2 Diabetes
Quartuccio, M., Yalamanchi, S., Golden, S. H., Regensteiner, J. G., & Kalyani, R. R. (2017) · Contemporary diabetes · doi:10.1007/978-3-319-61013-9_7 · Cited by 5
Kang, S. Y., Hyun, S. Y., Kwon, Y., Park, Y.-K., & Jung, H. W. (2019) · The Korea Journal of Herbology · doi:10.6116/kjh.2019.34.6.99 · Cited by 5
Magar, A., Devasani, K., & Majumdar, A. S. (2020) · Endocrine and Metabolic Science · doi:10.1016/j.endmts.2020.100067 · Cited by 5
Sakurai, Y., Tamura, Y., Takeno, K., Sato, F., Fujitani, Y., Hirose, T., Kawamori, R., & Watada, H. (2011) · Journal of Diabetes Investigation · doi:10.1111/j.2040-1124.2011.00108.x · Cited by 5
Fibre Type Dependent Expression of Glucose Transporters in Human Skeletal Muscles
Gaster, M. (2007) · Apmis · doi:10.1111/j.1600-0463.2007.apm_v115_s121.x · Cited by 5
DeFronzo, R. A. (2003) · The British Journal of Diabetes · doi:10.1177/1474651403003001s0601 · Cited by 5
For Debate Diabetes: mellitus or lipidus?
Shafrir, E., & Raz, I. (2003) · Cited by 5
Oakes, N. D., Ljung, B., & Camejo, G. (2002) · Europe PMC (PubMed Central) · Cited by 5
Schleh, M. W., Ryan, B. J., Ahn, C., Ludzki, A. C., Pelt, D. W. V., Pitchford, L. M., Chugh, O. K., Luker, A. T., Luker, K. E., Samovski, D., et al. (2024) · Acta Physiologica · doi:10.1111/apha.14249 · Cited by 5
Huang, H., Tian, J., Xu, J., Chen, Q., Cai, M., Hao, L., & Gong, F. (2025) · Scientific Reports · doi:10.1038/s41598-024-78365-8 · Cited by 4
Morel, A., Ouamri, Y., Ségaux, L., Zaidan, L. R., Moryoussef, M., Mulé, S., Champy, C. M., Reizine, É., Ingels, A., Luciani, A., et al. (2025) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13746 · Cited by 4
Fat Metabolism in Insulin Resistance and Type 2 Diabetes
Duez, H., & Lewis, G. F. (2008) · Humana Press eBooks · doi:10.1007/978-1-60327-043-4_4 · Cited by 4
Effect ofAconitum carmichaeliDebx on Energy Metabolism in C2C12 Skeletal Muscle Cells
Song, M. (2016) · Journal of Korean Medicine for Obesity Research · doi:10.15429/jkomor.2016.16.2.109 · Cited by 4
Ohno, N., Miyati, T., Suzuki, S., Kan, H., Aoki, T., Nakamura, Y., Hiramatsu, Y., Kobayashi, S., & Gabata, T. (2018) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2018.03.013 · Cited by 4
Klein, S., Fabbrini, E., & Romijn, J. A. (2011) · Elsevier eBooks · doi:10.1016/b978-1-4377-0324-5.00036-5 · Cited by 4
BMP11 Negatively Regulates Lipid Metabolism in C2C12 Muscle Cells
Pham, H. G., Park, J. P., & Yun, J. W. (2020) · Biotechnology and Bioprocess Engineering · doi:10.1007/s12257-020-0254-8 · Cited by 4
Oleinikov, D. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.80870 · Cited by 5
Exogenous detection of 13C-glucose metabolism in tumor and diet-induced obesity models
Verlande, A., Chun, S. K., Song, W. A., Oettler, D., Knot, H. J., & Masri, S. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.1023614 · Cited by 4
Penhaligan, J., Sequeira, I. R., & Miles-Chan, J. L. (2023) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00113.2023 · Cited by 4
Barquissau, V., & Morio, B. (2011) · Nutrition Clinique et Métabolisme · doi:10.1016/j.nupar.2011.07.003 · Cited by 5
Holness, M. J., Sugden, P. H., Silvestre, M. P., & Sugden, M. C. (2012) · Expert Review of Endocrinology & Metabolism · doi:10.1586/eem.12.9 · Cited by 4
Unger, R. H. (2004) · Current Opinion in Endocrinology & Diabetes · doi:10.1097/01.med.0000143457.37548.7e · Cited by 4
Neumaier, M., Niessen, H. G., Kaulisch, T., & Stiller, D. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22149 · Cited by 4
Nakagawa, Y., HATTORI, M., Harada, K., Bando, M., & OKANO, G. (2003) · 体力科學 · doi:10.7600/jspfsm1949.52.2_149 · Cited by 4
Body fatness, insulin sensitivity and muscle oxygen supply in adolescents
Arrowsmith, F., Ward, J. A., Rooney, K. B., Kriketos, A. D., Baur, L. A., & Thompson, C. H. (2002) · Clinical Science · doi:10.1042/cs1030391 · Cited by 4
1 H MR Spectroscopy Outside the Brain
Kreis, R. (2002) · Cited by 4
Insulin resistance in the elderly - the focus enlarges
Kinney, J. M. (2002) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/00075197-200201000-00003 · Cited by 4
MRS Studies of Muscle and Heart in Obesity and Diabetes
Prompers, J. J., & Nicolay, K. (2016) · Wiley eBooks · doi:10.1002/9780470034590.emrstm1462 · Cited by 4
Lee, J.-H., Jung, I., Tu‐Sekine, B., Jin, S., Anokye‐Danso, F., Ahima, R. S., & Kim, S. F. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26062395 · Cited by 5
Gemmink, A., van de Weijer, T., Schaart, G., Grabner, G. F., Moonen‐Kornips, E., Knoops, K., Zechner, R., Schweiger, M., & Hesselink, M. K. C. (2025) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2025.159703 · Cited by 3
Carmo‐Silva, S., & Nóbrega, C. (2024) · Springer eBooks · doi:10.1007/978-3-031-62491-9_2 · Cited by 3
Insulin and the Physiology of Carbohydrate Metabolism
Pereira, S., & Giacca, A. (2011) · Energy balance and cancer · doi:10.1007/978-1-4419-9911-5_1 · Cited by 3
Covington, J. D., Myland, C. K., Rustan, A. C., Ravussin, É., Smith, S. R., & Bajpeyi, S. (2015) · Obesity · doi:10.1002/oby.21192 · Cited by 5
Valkovič, L., Klepochová, R., & Krššák, M. (2018) · InTech eBooks · doi:10.5772/intechopen.77107 · Cited by 3
Yamasaki, N., Tamura, Y., Takeno, K., Kakehi, S., Someya, Y., Funayama, T., Furukawa, Y., Kaga, H., Suzuki, R., Sugimoto, D., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-61080-5 · Cited by 3
Arias-Amézquita, F., Otero, J. M., Londoño, E., Becerra, H., Carvajalino, S., Rodríguez, C. I., Granados, J., Quintero, P., Mora, M., Castro, C., et al. (2012) · Revista de Gastroenterología de México · doi:10.1016/j.rgmx.2012.03.001 · Cited by 3
Interaction between Lipid Availability, Endurance Exercise and Insulin Sensitivity
Newsom, S. A., & Schenk, S. (2014) · Medicine and sport science/Medicine and sport · doi:10.1159/000357336 · Cited by 3
Pola, A., Sadananthan, S. A., Gopalan, V., Tan, M.-L. S., Keong, T. Y., Zhou, Z., Ishino, S., Nakano, Y., Watanabe, M., Horiguchi, T., et al. (2014) · Magnetic Resonance Insights · doi:10.4137/mri.s19362 · Cited by 3
Insulin sensitivity and intramyocellular lipid concentrations in young Maori men
Stannard, S. R., Holdaway, M., Sachinwalla, T., & Cunningham, C. W. (2007) · Diabetic Medicine · doi:10.1111/j.1464-5491.2007.02211.x · Cited by 3
Oxidation of intracellular and extracellular fatty acids in skeletal muscle
Guo, Z., Jensen, M. D., Xu, J., Zhou, L., Persson, X.-M. T., Balagopal, P., & Yarasheski, K. E. (2008) · European Journal of Lipid Science and Technology · doi:10.1002/ejlt.200600267 · Cited by 3
Associations between abdominal adiposity, exercise, morbidity, and mortality
Kuk, J. L. (2007) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h07-090 · Cited by 4
Metadata
- Authors
- Krssak, M., Falk Petersen, K., Dresner, A., DiPietro, L., Vogel, S. M., Rothman, D. L., Shulman, G. I., & Roden, M.
- Affiliations
- Yale University (US)
- Howard Hughes Medical Institute (US)
- University of Vienna (AT)
- Venue
- Diabetologia
- Published
- 1999-01-11
- Volume
- 42
- Issue
- 1
- Pages
- 113-116
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- OpenAlex
- W2092441434
- Semantic Scholar
- a27e69dd8a054c7932e6da0a27f4f67ad769f76a
- Cited by
- 1,264
- References
- 13
- Citations by year
- 2026: 10 · 2025: 17 · 2024: 19 · 2023: 19 · 2022: 21 · 2021: 38 · 2020: 40 · 2019: 39 · 2018: 49 · 2017: 51 · 2016: 51 · 2015: 64 · 2014: 51 · 2013: 52 · 2012: 59
- FWCI
- 22.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Diabetologia (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- Yale University
- Universität Wien
- Oesterreichische Nationalbank
- National Institutes of Health (P30 DK)
- U.S. Public Health Service
- National Institute on Aging (5 P60 AG 10469, P60AG010469)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK45735, R01DK049230, R01 DK-49230, P30DK045735)
- Topics
- 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
- Health Sciences › Medicine › Hepatology › Liver Disease Diagnosis and Treatment
- Keywords
- intramyocellular lipid, insulin sensitivity, insulin resistance, hyperinsulinemic-euglycemic clamp, free fatty acids, soleus muscle, whole-body insulin sensitivity
- MeSH terms
- Adult, Blood Glucose, Fasting, Fatty Acids, Nonesterified, Female, Humans, Hydrogen, Infusions, Intravenous, Insulin, Male, Magnetic Resonance Spectroscopy, Regression Analysis, Triglycerides, Glucose Clamp Technique, Muscle, Skeletal, Lipid Metabolism
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