The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Role of diacylglycerol activation of PKCθ in lipid-induced muscle insulin resistance in humans
Open accessAbstract
Significance: Muscle insulin resistance is a major factor in the pathogenesis of type 2 diabetes, but the underlying cellular mechanisms are yet unclear. This study found that muscle diacylglycerol content was temporally associated with protein kinase Cθ activation and impairment of insulin signaling in human skeletal muscle. A similar relationship between muscle diacylglycerol content and protein kinase Cθ activation was observed in insulin-resistant obese and type 2 diabetic individuals. In contrast, we observed no relationship between other putative mediators of muscle insulin resistance including ceramides, acylcarnitines, or circulating adipocytokines. These data support the hypothesis that diacylglycerol activation of protein kinase Cθ and subsequent impairment of insulin signaling plays a major role in the pathogenesis of muscle insulin resistance in humans.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Szendroedi et al. (2014) showed a strong relationship between muscle DAG content, PKCθ translocation and muscle insulin resistance in obese and type 2 diabetic patients, whereas no correlation with muscle ceramide content and muscle insulin resistance was seen in these subjects.”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Szendroedi et al., 2014
In the citing paper
“Lipotoxicity is characterized by the accumulation of lipid metabolites (ceramides and diacylglycerol) that interfere with insulin signaling, thus impairing insulin action (26,28).”
From Metabolic flexibility to lipid availability during exercise is enhanced in individuals with high insulin sensitivity (2018) · cites this paper as [28]
In the citing paper
“Similar to IKK and JNK pathways, it induces serine or threonine phosphorylation or IR or IRS-1, resulting in impairment of insulin signaling [80,81].”
From Sarcopenic obesity, insulin resistance, and their implications in cardiovascular and metabolic consequences (2020) · cites this paper as [80]
In the citing paper
“PKCθ is predominantly expressed in skeletal muscle and endothelium and is activated by increased DAG content in muscles, via elevated plasma fatty acid infusion in humans [80] or palmitate treatment in myocytes [64].”
From Sarcopenic obesity, insulin resistance, and their implications in cardiovascular and metabolic consequences (2020) · cites this paper as [80]
In the citing paper
“These findings have been replicated in animal studies (rodents and rats), further expanding our understanding of the defect involving insulin signaling and action (Griffin et al., 1999; Shulman, 2014; Szendroedi et al., 2014).”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Szendroedi et al., 2014
In the citing paper
“In particular, an overabundance of SFA (e.g., Palmitate) can induce IR through the accumulation of lipid derivatives including DAGs, ceramides and long chain acyl-CoAs in the cytosol, which in turn can interfere with IRS1-PKB signalling [113,114,115,116,117,118].”
From Omega-3 Fatty Acids and Skeletal Muscle Health (2015) · cites this paper as [113]
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
Randle, P. J., Garland, P. B., Hales, C. N., & Newsholme, E. A. (1963) · The Lancet · doi:10.1016/s0140-6736(63)91500-9 · Cited by 5,093
A short questionnaire for the measurement of habitual physical activity in epidemiological studies
Baecke, J. A. H., BUREMA, J., & Frijters, J. E. R. (1982) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/36.5.936 · Cited by 3,950
Mechanisms of fatty acid-induced inhibition of glucose uptake.
Boden, G., Chen, X., Ruiz, J., White, J. V., & Rossetti, L. (1994) · Journal of Clinical Investigation · doi:10.1172/jci117252 · Cited by 3,720
Cellular mechanisms of insulin resistance
Shulman, G. I. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10583 · Cited by 2,714
Self-citationMechanisms for Insulin Resistance: Common Threads and Missing Links
Samuel, V. T., & Shulman, G. I. (2012) · Cell · doi:10.1016/j.cell.2012.02.017 · Cited by 2,294
Self-citationKoves, T. R., Ussher, J. R., Noland, R. C., Slentz, D., Mosedale, M., Ilkayeva, O., Bain, J., Stevens, R., Dyck, J. R. B., Newgard, C. B., et al. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.013 · Cited by 1,990
Yu, C., Chen, Y., Cline, G. W., Zhang, D., Zong, H., Wang, Y., Bergeron, R., Kim, J. K., Cushman, S. W., Cooney, G. J., et al. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m200958200 · Cited by 1,561
Self-citationMechanism 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-citationItani, S. I., Ruderman, N. B., Schmieder, F., & Boden, G. (2002) · Diabetes · doi:10.2337/diabetes.51.7.2005 · Cited by 1,390
Dresner, A., Laurent, D., Marcucci, M., Griffin, M. E., Dufour, S., Cline, G. W., Slezak, L. A., Andersen, D. K., Hundal, R. S., Rothman, D. L., et al. (1999) · Journal of Clinical Investigation · doi:10.1172/jci5001 · Cited by 1,311
Self-citation
Cited by
Sorted by citations
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
Self-citationDeFronzo, R. A., Ferrannini, E., Groop, L., Henry, R. R., Herman, W. H., Holst, J. J., Hu, F. B., Kahn, C. R., Raz, I., Shulman, G. I., et al. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.19 · Cited by 2,611
Self-citationInflammation, metaflammation and immunometabolic disorders
Hotamisligil, G. S. (2017) · Nature · doi:10.1038/nature21363 · Cited by 2,570
Adipose tissue dysfunction as determinant of obesity-associated metabolic complications
Longo, M., Zatterale, F., Naderi, J., Parrillo, L., Formisano, P., Raciti, G. A., Beguinot, F., & Miele, C. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20092358 · Cited by 1,575
The pathogenesis of insulin resistance: integrating signaling pathways and substrate flux
Samuel, V. T., & Shulman, G. I. (2016) · Journal of Clinical Investigation · doi:10.1172/jci77812 · Cited by 1,484
Self-citationMitochondrial dysfunction: mechanisms and advances in therapy
Yao, Z., Li, H., Liao, P., Chen, L., Pan, Y., Zheng, Y., Zhang, C., Liu, D., Zheng, M., & Gao, J. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01839-8 · Cited by 1,382
Ectopic Fat in Insulin Resistance, Dyslipidemia, and Cardiometabolic Disease
Shulman, G. I. (2014) · New England Journal of Medicine · doi:10.1056/nejmra1011035 · Cited by 1,126
Self-citationRegulation and function of AMPK in physiology and diseases
Jeon, S. (2016) · Experimental & Molecular Medicine · doi:10.1038/emm.2016.81 · Cited by 1,149
Insulin Resistance: From Mechanisms to Therapeutic Strategies
Lee, S.-H., Park, S., & Choi, C. S. (2021) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2021.0280 · Cited by 1,248
Tilg, H., Moschen, A. R., & Roden, M. (2017) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2016.147 · Cited by 1,002
Self-citationNonalcoholic fatty liver disease as a nexus of metabolic and hepatic diseases
Samuel, V. T., & Shulman, G. I. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2017.08.002 · Cited by 745
Self-citationSkeletal muscle inflammation and insulin resistance in obesity
Wu, H., & Ballantyne, C. M. (2017) · Journal of Clinical Investigation · doi:10.1172/jci88880 · Cited by 695
Metabolites as regulators of insulin sensitivity and metabolism
Yang, Q., Vijayakumar, A., & Kahn, B. B. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0044-8 · Cited by 698
Foundations of Immunometabolism and Implications for Metabolic Health and Disease
Hotamışlıgil, G. S. (2017) · Immunity · doi:10.1016/j.immuni.2017.08.009 · Cited by 534
Correa-de-Araujo, R., Addison, O., Miljkovic, I., Goodpaster, B. H., Bergman, B. C., Clark, R. V., Elena, J. W., Esser, K. A., Ferrucci, L., Harris-Love, M. O., et al. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00963 · Cited by 468
Self-citationAdipocyte lipolysis and insulin resistance
Morigny, P., Houssier, M., Mouisel, É., & Langin, D. (2015) · Biochimie · doi:10.1016/j.biochi.2015.10.024 · Cited by 504
Hong, S.-H., & Choi, K. M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21020494 · Cited by 390
Lipotoxicity and Diabetic Nephropathy: Novel Mechanistic Insights and Therapeutic Opportunities
Opazo-Ríos, L., Mas, S., Marín-Royo, G., Mezzano, S., Gómez-Guerrero, C., Moreno, J. A., & Egido, J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072632 · Cited by 363
Hemostasis, endothelial stress, inflammation, and the metabolic syndrome
Grandl, G., & Wolfrum, C. (2017) · Seminars in Immunopathology · doi:10.1007/s00281-017-0666-5 · Cited by 358
Metabolic Messengers: ceramides
Summers, S. A., Chaurasia, B., & Holland, W. L. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0134-8 · Cited by 312
Abdominal obesity: a marker of ectopic fat accumulation
Smith, U. (2015) · Journal of Clinical Investigation · doi:10.1172/jci81507 · Cited by 298
Apostolopoulou, M., Gordillo, R., Koliaki, C., Gancheva, S., Jelenik, T., De Filippo, E., Herder, C., Markgraf, D., Jankowiak, F., Esposito, I., et al. (2018) · Diabetes Care · doi:10.2337/dc17-1318 · Cited by 284
Self-citationMacrophages, Chronic Inflammation, and Insulin Resistance
He, L., Meng, Y., He, S., Tan, X., Zhang, Y., Zhang, X., Wang, L., & Zheng, W. (2022) · Cells · doi:10.3390/cells11193001 · Cited by 286
Inter-organ crosstalk during development and progression of type 2 diabetes mellitus
Xourafa, G., Korbmacher, M., & Roden, M. (2024) · Nature Reviews Endocrinology · doi:10.1038/s41574-023-00898-1 · Cited by 274
Self-citationInsulin resistance and insulin sensitizing agents
Mastrototaro, L., & Roden, M. (2021) · Metabolism · doi:10.1016/j.metabol.2021.154892 · Cited by 274
Self-citationLipid modulation of skeletal muscle mass and function
Lipina, C., & Hundal, H. S. (2017) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.12144 · Cited by 247
Engin, A. B. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-48382-5_8 · Cited by 260
Adipocyte lipolysis: from molecular mechanisms of regulation to disease and therapeutics
Yang, A., & Mottillo, E. P. (2020) · Biochemical Journal · doi:10.1042/bcj20190468 · Cited by 264
Mechanisms of muscle insulin resistance and the cross‐talk with liver and adipose tissue
Rosa, S. C. D. S., Nayak, N., Caymo, A. M., & Gordon, J. W. (2020) · Physiological Reports · doi:10.14814/phy2.14607 · Cited by 271
Perry, B. D., Caldow, M. K., Brennan‐Speranza, T. C., Sbaraglia, M., Jerums, G., GARNHAM, A. P., Wong, C. Y., Levinger, P., Haq, M. A. U., Hare, D. L., et al. (2016) · PubMed · Cited by 239
Rupert, J. E., Narasimhan, A., Jengelley, D. H. A., Jiang, Y., Liu, J., Au, E. D., Silverman, L. M., Sandusky, G. E., Bonetto, A., Cao, S., et al. (2021) · The Journal of Experimental Medicine · doi:10.1084/jem.20190450 · Cited by 225
Mitochondrial Dysfunction, Insulin Resistance, and Potential Genetic Implications
Sangwung, P., Petersen, K. F., Shulman, G. I., & Knowles, J. W. (2020) · Endocrinology · doi:10.1210/endocr/bqaa017 · Cited by 232
Self-citationMeex, R. C. R., Blaak, E. E., & van Loon, L. J. C. (2019) · Obesity Reviews · doi:10.1111/obr.12862 · Cited by 224
Links between metabolic syndrome and metabolic dysfunction-associated fatty liver disease
Lim, S. K., Kim, J., & Targher, G. (2021) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2021.04.008 · Cited by 224
Nandipati, K. C., Subramanian, S., & Agrawal, D. K. (2016) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-016-2878-8 · Cited by 214
Omega-3 Fatty Acids and Skeletal Muscle Health
Jeromson, S., Gallagher, I., Galloway, S., & Hamilton, D. (2015) · Marine Drugs · doi:10.3390/md13116977 · Cited by 203
Kolczynska, K., Loza-Valdes, A., Hawro, I., & Sumara, G. (2020) · Lipids in Health and Disease · doi:10.1186/s12944-020-01286-8 · Cited by 199
Interorgan Metabolic Crosstalk in Human Insulin Resistance
Gancheva, S., Jeleník, T., Álvarez-Hernández, E., & Roden, M. (2018) · Physiological Reviews · doi:10.1152/physrev.00015.2017 · Cited by 194
Self-citationPerreault, L., Newsom, S. A., Strauss, A., Kerege, A., Kahn, D. E., Harrison, K. A., Snell-Bergeon, J. K., Nemkov, T., D’Alessandro, A., Jackman, M. R., et al. (2018) · JCI Insight · doi:10.1172/jci.insight.96805 · Cited by 184
Karusheva, Y., Kössler, T., Straßburger, K., Markgraf, D. F., Mastrototaro, L., Jeleník, T., Simon, M., Pesta, D. H., Zaharia, O., Bódis, K. B., et al. (2019) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqz191 · Cited by 188
Self-citationHou, W., Liu, B., & Xu, H. (2020) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2020.112081 · Cited by 171
Food Polyphenols and Type II Diabetes Mellitus: Pharmacology and Mechanisms
Naz, R., Saqib, F., Awadallah, S. M., Wahid, M., Latif, M. F., Iqbal, I., & Mubarak, M. S. (2023) · Molecules · doi:10.3390/molecules28103996 · Cited by 178
Cellular Stresses and Stress Responses in the Pathogenesis of Insulin Resistance
Onyango, A. N. (2018) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2018/4321714 · Cited by 168
Metabolic liver disease in diabetes – From mechanisms to clinical trials
Dewidar, B., KAHL, S., Pafili, K., & Roden, M. (2020) · Metabolism · doi:10.1016/j.metabol.2020.154299 · Cited by 167
Self-citationLee, J., Kim, B., Kim, W., Ahn, C., Choi, H. Y., Kim, J. G., Kim, J., Shin, H., Kang, J. G., & Moon, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-82053-2 · Cited by 162
Cohort profile: the German Diabetes Study (GDS)
The GDS Group, Szendroedi, J., Saxena, A., Weber, K. S., Straßburger, K., Herder, C., Burkart, V., Nowotny, B., Icks, A., Kuß, O., et al. (2016) · Cardiovascular Diabetology · doi:10.1186/s12933-016-0374-9 · Cited by 157
Self-citationThe diabetes pandemic and associated infections: suggestions for clinical microbiology
Toniolo, A., Cassani, G., Puggioni, A., Rossi, A., Colombo, A., Onodera, T., & Ferrannini, E. (2018) · Reviews in Medical Microbiology · doi:10.1097/mrm.0000000000000155 · Cited by 157
The biology of the metabolic syndrome and aging
Dominguez, L. J., & Barbagallo, M. (2015) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000243 · Cited by 159
Mechanisms by which adiponectin reverses high fat diet-induced insulin resistance in mice
Li, X., Zhang, D., Vatner, D. F., Goedeke, L., Hirabara, S. M., Zhang, Y., Perry, R. J., & Shulman, G. I. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1922169117 · Cited by 154
Self-citationInsulin resistance in type 1 diabetes mellitus
Kaul, K., Apostolopoulou, M., & Roden, M. (2015) · Metabolism · doi:10.1016/j.metabol.2015.09.002 · Cited by 156
Self-citationMitochondria and T2D: Role of Autophagy, ER Stress, and Inflammasome
Rocha, M., Apostolova, N., Díaz‐Rúa, R., Muntané, J., & Víctor, V. M. (2020) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2020.03.004 · Cited by 151
Excess of free fatty acids as a cause of metabolic dysfunction in skeletal muscle
TUMOVA, J., ANDEL, M., & TRNKA, J. (2016) · Physiological Research · doi:10.33549/physiolres.932993 · Cited by 143
“…recent animal and human studies strongly support the key role of DAG and the activation of PKCθ in the pathogenesis of lipid-induced muscle IR (Bruce et al. 2009, Szendroedi et al. 2014), there are also indications that an accumulation of DAG is not always associated with IR (Amati et al. 2011).”
Low‐volume high‐intensity interval training for cardiometabolic health
Sabag, A., Little, J. P., & Johnson, N. A. (2021) · The Journal of Physiology · doi:10.1113/jp281210 · Cited by 145
Perilipin 2 and Age-Related Metabolic Diseases: A New Perspective
Conte, M., Franceschi, C., Sandri, M., & Salvioli, S. (2016) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2016.09.001 · Cited by 135
Impaired mitochondrial fat oxidation induces adaptive remodeling of muscle metabolism
Wicks, S. E., Vandanmagsar, B., Haynie, K. R., Fuller, S. E., Warfel, J. D., Stephens, J. M., Wang, M., Han, X., Zhang, J., Noland, R. C., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418560112 · Cited by 131
Mechanism by Which Caloric Restriction Improves Insulin Sensitivity in Sedentary Obese Adults
Johnson, M. L., Distelmaier, K., Lanza, I. R., Irving, B. A., Robinson, M. M., Konopka, A. R., Shulman, G. I., & Nair, K. S. (2016) · Diabetes · doi:10.2337/db15-0675 · Cited by 129
Self-citationSarcolipin Signaling Promotes Mitochondrial Biogenesis and Oxidative Metabolism in Skeletal Muscle
Maurya, S. K., Herrera, J. L., Sahoo, S. K., Reis, F. C. G., Vega, R. B., Kelly, D. P., & Periasamy, M. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.08.036 · Cited by 132
Rovira‐Llopis, S., Apostolova, N., Bañuls, C., Muntané, J., Rocha, M., & Víctor, V. M. (2017) · Antioxidants and Redox Signaling · doi:10.1089/ars.2017.7313 · Cited by 125
Pathophysiology of type 2 diabetes and the impact of altered metabolic interorgan crosstalk
Sanches, J. M., Zhao, L. N., Salehi, A. A., Wollheim, C. B., & Kaldis, P. (2021) · FEBS Journal · doi:10.1111/febs.16306 · Cited by 136
da Silva Rosa, S. C., Martens, M. D., Field, J. T., Nguyen, L., Kereliuk, S. M., Hai, Y., Chapman, D., Diehl-Jones, W., Aliani, M., West, A. R., et al. (2021) · Autophagy · doi:10.1080/15548627.2020.1821548 · Cited by 117
Insulin Resistance across the Spectrum of Nonalcoholic Fatty Liver Disease
Armandi, A., Rosso, C., Caviglia, G. P., & Bugianesi, E. (2021) · Metabolites · doi:10.3390/metabo11030155 · Cited by 121
Role of PI3K/AKT Pathway in Insulin-Mediated Glucose Uptake
Świderska, E., Strycharz, J., Wróblewski, A. M., Szemraj, J., Drzewoski, J., & Śliwińska, A. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.80402 · Cited by 114
Choi, B. S.-Y., Daniel, N., Houde, V. P., Ouellette, A., Marcotte, B., Varin, T. V., Vors, C., Feutry, P., Ilkayeva, O., Ståhlman, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23782-w · Cited by 114
Brøns, C., & Grunnet, L. G. (2016) · European Journal of Endocrinology · doi:10.1530/eje-16-0488 · Cited by 114
Taheri, R., Mokhtari, Y., Yousefi, A., & Bashash, D. (2024) · Cell Biology International · doi:10.1002/cbin.12189 · Cited by 116
Mechanisms Underlying the Onset of Oral Lipid–Induced Skeletal Muscle Insulin Resistance in Humans
Nowotny, B., Zahiragic, L., Krog, D., Nowotny, P., Herder, C., Carstensen, M., Yoshimura, T., Szendroedi, J., Phielix, E., Schadewaldt, P., et al. (2013) · Diabetes · doi:10.2337/db12-1179 · Cited by 111
Self-citationMcCarty, M. F., & DiNicolantonio, J. J. (2016) · Open Heart · doi:10.1136/openhrt-2016-000467 · Cited by 105
Evans, R. A., Frese, M., Romero, J., Cunningham, J. H., & Mills, K. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.145151 · Cited by 107
Molecular modulators of celastrol as the keystones for its diverse pharmacological activities
Ng, S. W., Chan, Y., Chellappan, D. K., Madheswaran, T., Zeeshan, F., Chan, Y. L., Collet, T., Gupta, G., Oliver, B. G. G., Wark, P. A. B., et al. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.11.051 · Cited by 101
Kitessa, S., & Abeywardena, M. (2016) · Nutrients · doi:10.3390/nu8080466 · Cited by 98
Hypothalamic Insulin Resistance in Obesity: Effects on Glucose Homeostasis
Chen, W., Balland, É., & Cowley, M. A. (2017) · Neuroendocrinology · doi:10.1159/000455865 · Cited by 101
Impact of Lipids on Insulin Resistance: Insights from Human and Animal Studies
Elkanawati, R. Y., Sumiwi, S. A., & Levita, J. (2024) · Drug Design Development and Therapy · doi:10.2147/dddt.s468147 · Cited by 110
Wang, L., Zhang, B., Huang, F., Liu, B., & Xie, Y. (2016) · Journal of Lipid Research · doi:10.1194/jlr.m067397 · Cited by 97
Crosstalk between nonalcoholic fatty liver disease and cardiometabolic syndrome
Lim, S. K., Taskinen, M., & Borén, J. (2018) · Obesity Reviews · doi:10.1111/obr.12820 · Cited by 99
Impact of Glucocorticoid Excess on Glucose Tolerance: Clinical and Preclinical Evidence
Pasieka, A. M., & Rafacho, A. (2016) · Metabolites · doi:10.3390/metabo6030024 · Cited by 91
Novel Insights and Mechanisms of Lipotoxicity-Driven Insulin Resistance
Lair, B., Laurens, C., Bosch, B. V. D., & Moro, C. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21176358 · Cited by 96
Molecular and Cellular Bases of Lipodystrophy Syndromes
Zammouri, J., Vatier, C., Capel, É., Auclair, M., Storey, C., Bismuth, É., Mosbah, H., Donadille, B., Janmaat, S., Fève, B., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.803189 · Cited by 95
Pathogenesis of Insulin Resistance and Atherogenic Dyslipidemia in Nonalcoholic Fatty Liver Disease
Akhtar, D. H., Iqbal, U., Vazquez‐Montesino, L. M., Dennis, B. B., & Ahmed, A. (2019) · Journal of Clinical and Translational Hepatology · doi:10.14218/jcth.2019.00028 · Cited by 89
Gilbert, M. (2021) · Journal of Diabetes Investigation · doi:10.1111/jdi.13614 · Cited by 90
Supruniuk, E., Mikłosz, A., & Chabowski, A. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00923 · Cited by 81
Insulin Resistance in Type 1 Diabetes: Pathophysiological, Clinical, and Therapeutic Relevance
Apostolopoulou, M., Lambadiari, V., Roden, M., & Dimitriadis, G. D. (2025) · Endocrine Reviews · doi:10.1210/endrev/bnae032 · Cited by 90
Self-citationDynamic changes of muscle insulin sensitivity after metabolic surgery
Gancheva, S., Ouni, M., Jeleník, T., Koliaki, C. C., Szendroedi, J., Toledo, F. G. S., Markgraf, D. F., Pesta, D. H., Mastrototaro, L., Filippo, E. D., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12081-0 · Cited by 78
Self-citationImpact of Adipose Tissue and Lipids on Skeletal Muscle in Sarcopenia
Jang, S. Y., & Choi, K. M. (2025) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.70000 · Cited by 81
Goedeke, L., Perry, R. J., & Shulman, G. I. (2019) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010716-104727 · Cited by 76
Self-citationSmall, L., Brandon, A. E., Turner, N., & Cooney, G. J. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00337.2017 · Cited by 72
Hansen, S., Svendsen, P., Jeppesen, J., Høeg, L. D., Andersen, N. R., Kristensen, J. M., Nilas, L., Lundsgaard, A., Wojtaszewski, J., Madsbad, S., et al. (2018) · Journal of Clinical Endocrinology and Metabolism · doi:10.1210/jc.2018-01771 · Cited by 69
Lee, H.-Y., Lee, J. S., Alves, T., Ladiges, W., Rabinovitch, P. S., Jurczak, M. J., Choi, C. S., Shulman, G. I., & Samuel, V. T. (2017) · Diabetes · doi:10.2337/db16-1334 · Cited by 66
Self-citationLipid-mediated muscle insulin resistance: different fat, different pathways?
Ritter, O., Jelenik, T., & Roden, M. (2015) · Journal of Molecular Medicine · doi:10.1007/s00109-015-1310-2 · Cited by 74
Self-citationPredictors of Whole-Body Insulin Sensitivity Across Ages and Adiposity in Adult Humans
Lalia, A. Z., Dasari, S., Johnson, M. L., Robinson, M. M., Konopka, A. R., Distelmaier, K., Port, J. D., Glavin, M., Esponda, R. R., Nair, K. S., et al. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-2892 · Cited by 78
Prediction of clamp-derived insulin sensitivity from the oral glucose insulin sensitivity index
Tura, A., Chemello, G., Szendroedi, J., Göbl, C. S., Færch, K., Vrbíková, J., Pacini, G., Ferrannini, E., & Roden, M. (2018) · Diabetologia · doi:10.1007/s00125-018-4568-4 · Cited by 73
Self-citationCamporez, J. P., Lyu, K., Goldberg, E. L., Zhang, D., Cline, G. W., Jurczak, M. J., Dixit, V. D., Petersen, K. F., & Shulman, G. I. (2019) · The Journal of Physiology · doi:10.1113/jp277270 · Cited by 71
Self-citationHigh Fat Rodent Models of Type 2 Diabetes: From Rodent to Human
Stott, N. L., & Marino, J. S. (2020) · Nutrients · doi:10.3390/nu12123650 · Cited by 73
Obesity and Insulin Resistance in Resistant Hypertension: Implications for the Kidney
Rao, A., Pandya, V., & Whaley‐Connell, A. T. (2015) · Advances in Chronic Kidney Disease · doi:10.1053/j.ackd.2014.12.004 · Cited by 78
Preuss, C., Jeleník, T., Bódis, K. B., Müssig, K., Burkart, V., Szendroedi, J., Roden, M., & Markgraf, D. F. (2019) · Cells · doi:10.3390/cells8030277 · Cited by 74
Self-citationA coding and non-coding transcriptomic perspective on the genomics of human metabolic disease
Timmons, J. A., Atherton, P. J., Larsson, O. S., Sood, S., Blokhin, I. O., Brogan, R. J., Volmar, C., Josse, A. R., Slentz, C. A., Wahlestedt, C., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky570 · Cited by 70
Mendham, A. E., Goedecke, J. H., Zeng, Y., Larsen, S., George, C., Hauksson, J. B., Smidt, M. F.-D., Chibalin, A., Olsson, T., & Chorell, E. (2021) · Diabetologia · doi:10.1007/s00125-021-05430-6 · Cited by 73
Mitochondrial involvement in skeletal muscle insulin resistance: A case of imbalanced bioenergetics
Affourtit, C. (2016) · Biochimica et Biophysica Acta (BBA) - Bioenergetics · doi:10.1016/j.bbabio.2016.07.008 · Cited by 67
MondoA coordinately regulates skeletal myocyte lipid homeostasis and insulin signaling
Ahn, B. Y., Soundarapandian, M. M., Sessions, H., Peddibhotla, S., Roth, G. P., Li, J., Sugarman, E. D., Koo, A., Malany, S., Wang, M., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci87382 · Cited by 71
Pan, A., Sun, X., Huang, F., Liu, J., Cai, Y., Xin, W., Alolga, R. N., Li, P., Liu, B., Liu, Q., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28044-x · Cited by 74
Zhao, W., Li, A., Feng, X., Hou, T., Liu, K., Liu, B., & Zhang, N. (2016) · Cellular Signalling · doi:10.1016/j.cellsig.2016.06.018 · Cited by 68
Metadata
- Authors
- Szendroedi, J., Yoshimura, T., Phielix, E., Koliaki, C., Marcucci, M., Zhang, D., Jelenik, T., Müller, J., Herder, C., Nowotny, P., Shulman, G. I., & Roden, M.
- Affiliations
- Düsseldorf University Hospital (DE)
- Howard Hughes Medical Institute (US)
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany;
- Deutsches Diabetes-Zentrum e.V. (DE)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-06-16
- Volume
- 111
- Issue
- 26
- Pages
- 9597-9602
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4084449
- OpenAlex
- W2055608265
- Cited by
- 415
- References
- 51
- Citations by year
- 2026: 36 · 2025: 30 · 2024: 26 · 2023: 18 · 2022: 32 · 2021: 36 · 2020: 47 · 2019: 46 · 2018: 46 · 2017: 38 · 2016: 32 · 2015: 24 · 2014: 3
- FWCI
- 13.27
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- European Foundation for the Study of Diabetes
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Gesundheit
- Novo Nordisk
- Novo Nordisk Fonden
- Novo Nordisk Foundation Center for Basic Metabolic Research
- National Institutes of Health (UL1TR000142)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK45735, R01DK049230, R01 DK-49230, R24DK085638, P30DK045735)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- muscle insulin resistance, diacylglycerol, protein kinase C theta, lipid infusion, intramyocellular lipid, IRS-1 serine phosphorylation, Akt2 phosphorylation, obesity, type 2 diabetes, inflammation, adipokines, ceramide, acylcarnitines, skeletal muscle
- MeSH terms
- Protein Kinase C-theta, Analysis of Variance, Blood Chemical Analysis, Calorimetry, Indirect, Diabetes Mellitus, Type 2, Diglycerides, Enzyme Activation, Humans, Insulin Resistance, Isoenzymes, Muscles, Protein Kinase C, Glucose Clamp Technique
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