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The Metabolically Healthy but Obese Individual Presents a Favorable Inflammation Profile
Abstract
OBJECTIVE: The purpose of this study was to investigate the inflammatory state in obese women displaying the "metabolically healthy but obese" (MHO) phenotype. DESIGN: We examined the metabolic characteristics of 88 obese, sedentary postmenopausal women. Subjects were classified as MHO or as "at risk" based on the upper and lower quartiles of insulin sensitivity as measured by the hyperinsulinemic-euglycemic clamp technique. Thereafter, we determined 1) body composition, 2) body fat distribution, 3) plasma lipid and lipoprotein levels, 4) glucose homeostasis, 5) resting blood pressure, 6) peak oxygen consumption, and 7) inflammation markers as potential modulators of differences in the coronary risk profile. RESULTS: Twenty-two MHO women displayed high insulin sensitivity (15.35 +/- 2.3 mg/min.kg fat-free mass), and 22 at risk subjects with low insulin sensitivity (7.98 +/- 1.4 mg/min.kg fat-free mass) were identified. Despite comparable total body fatness between groups (47.7 +/- 4.8 vs. 45.5 +/- 4.4%; not significant), MHO individuals had significantly lower levels of visceral fat, fasting insulin, plasma triglycerides, high-sensitivity C-reactive protein (CRP), and alpha-1 antitrypsin levels and higher levels of high-density lipoprotein cholesterol than at risk individuals (P < 0.05). Stepwise regression analysis showed that CRP, fasting triglycerides, and the lean body mass index explained 19.5, 8.5, and 4.0%, respectively, of the variance observed in glucose disposal (total r(2) = 0.320; P < 0.001). CONCLUSION: Results of the present study indicate that postmenopausal women displaying the MHO phenotype also have a favorable inflammation profile as shown by lower CRP and alpha-1 antitrypsin levels compared with insulin-resistant women. This suggests that a lower inflammation state, as attested by low CRP levels, could play a role in the protective profile of the MHO individual, and this may be associated metabolically to a lower risk for cardiovascular disease.
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“Demographics ranging between men, women, and postmenopausal women show that there is a correlation between a beneficial phenotype for metabolic outcomes and subcutaneous fat accumulation, whereas visceral fat accumulation, including omental adipocyte hypertrophy, leads to a decline in metabolic health (20–25).”
From Metabolic impact of endogenously produced estrogens by adipose tissue in females and males across the lifespan (2025) · cites this paper as [21]
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Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
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
Katz, A., Nambi, S. S., Mather, K., Baron, A. D., Follmann, D. A., Sullivan, G., & Quon, M. J. (2000) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.85.7.6661 · Cited by 3,931 · cited 1×
“(18) and quantitative insulin sensitivity check index (QUICKI) was calculated as described previously (19) using the mean of three basal values of plasma glucose and insulin.”
MethodChronic Subclinical Inflammation as Part of the Insulin Resistance Syndrome
Festa, A., D’Agostino, R., Howard, G., Mykkänen, L., Tracy, R. P., & Haffner, S. M. (2000) · Circulation · doi:10.1161/01.cir.102.1.42 · Cited by 2,366
Inflammatory Markers and the Risk of Coronary Heart Disease in Men and Women
Pai, J. K., Pischon, T., Ma, J., Manson, J. E., Hankinson, S. E., JOSHIPURA, K. J., Curhan, G. C., Rifai, N., Cannuscio, C. C., Stampfer, M. J., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040967 · Cited by 1,186
Ferrannini, E., Natali, A., Bell, P., Cavallo-Perin, P., Lalic, N., & Mingrone, G. (1997) · Journal of Clinical Investigation · doi:10.1172/jci119628 · Cited by 898 · cited 1×
“as much as 20–30% of the obese population (2, 3, 6).”
BackgroundMetabolic and Body Composition Factors in Subgroups of Obesity: What Do We Know?
Karelis, A. D., St-Pierre, D. H., Conus, F., RABASA-LHORET, R. P. R., & Poehlman, É. T. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0165 · Cited by 734
Self-citationFat-free mass index and fat mass index percentiles in Caucasians aged 18–98 y
Schutz, Y., Kyle, U. G., & Pichard, C. (2002) · International Journal of Obesity · doi:10.1038/sj.ijo.0802037 · Cited by 691
Rutter, M. K., Meigs, J. B., Sullivan, L. M., D’Agostino, R. B., & Wilson, P. W. F. (2004) · Circulation · doi:10.1161/01.cir.0000136581.59584.0e · Cited by 664 · cited 1×
“This finding is in line with previous studies that suggest that CRP levels could be an important factor associated with variations in insulin sensitivity (7, 9, 24).”
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Obesity, Body Composition, and Sex Hormones: Implications for Cardiovascular Risk
Singh, P., Covassin, N., Marlatt, K. L., Gadde, K. M., & Heymsfield, S. B. (2021) · Comprehensive physiology · doi:10.1002/cphy.c210014 · Cited by 44
Baudrand, R. F., Campino, C., Carvajal, C. A., Olivieri, O., Guidi, G. C., Faccini, G., Sateler, J., Cornejo, J., Martín, B. S., Domínguez, J. M., et al. (2011) · Steroids · doi:10.1016/j.steroids.2011.09.010 · Cited by 44
Elisha, B., Messier, V., Karelis, A. D., Coderre, L., Bernard, S., Prud’homme, D., & RABASA-LHORET, R. P. R. (2013) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2012-0307 · Cited by 43
Self-citationThe Immune System in Obesity: Developing Paradigms Amidst Inconvenient Truths
Agrawal, M., Kern, P. A., & Nikolajczyk, B. S. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0917-9 · Cited by 45
Dyslipidemia: Obese or Not Obese—That Is Not the Question
Ipsen, D. H., Tveden‐Nyborg, P., & Lykkesfeldt, J. (2016) · Current Obesity Reports · doi:10.1007/s13679-016-0232-9 · Cited by 43
Adipokines: biological functions and metabolically healthy obese profile
Pereira, S. S., & Alvarez-Leite, J. I. (2014) · Journal of Receptor Ligand and Channel Research · doi:10.2147/jrlcr.s36060 · Cited by 41
Maffetone, P. B., Rivera-Dominguez, I., & Laursen, P. B. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00190 · Cited by 41
Lipotoxicity, neuroinflammation, glial cells and oestrogenic compounds
Hidalgo‐Lanussa, O., Báez-Jurado, E., Echeverría, V., Ashraf, G. M., Sahebkar, A., García‐Segura, L. M., Melcangi, R. C., & Barreto, G. E. (2019) · Journal of Neuroendocrinology · doi:10.1111/jne.12776 · Cited by 42
TyG Index Change Is More Determinant for Forecasting Type 2 Diabetes Onset Than Weight Gain
Navarro‐González, D., Sánchez‐Íñigo, L., Fernández‐Montero, A., Delgado, J. P., & Martínez, J. A. (2016) · Medicine · doi:10.1097/md.0000000000003646 · Cited by 41
Brd2 Gene Disruption Causes “Metabolically Healthy” Obesity
Wang, F., Deeney, J. T., & Denis, G. V. (2013) · Vitamins and hormones · doi:10.1016/b978-0-12-407766-9.00003-1 · Cited by 41
Yoo, H. K., Choi, E. Y., Park, E. W., Cheong, Y. S., & Bae, R. A. (2013) · Korean Journal of Family Medicine · doi:10.4082/kjfm.2013.34.1.19 · Cited by 40
Varghese, M., Griffin, C. A., McKernan, K. E., Eter, L., Abrishami, S., & Singer, K. (2020) · Aging · doi:10.18632/aging.102709 · Cited by 40
Berezina, A. V., Belyaeva, О. D., Беркович, О. А., Баранова, Е. И., Каронова, Т. Л., Bazhenova, E., Бровин, Д. Л., Grineva, E. N., & Shlyakhto, E. (2015) · BioMed Research International · doi:10.1155/2015/548734 · Cited by 40
Can inflammatory status define metabolic health?
Karelis, A. D., & RABASA-LHORET, R. P. R. (2013) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2013.198 · Cited by 39
Self-citationGreen, A. K., Jacques, P. F., Rogers, G. T., Fox, C. S., Meigs, J. B., & McKeown, N. M. (2014) · Obesity · doi:10.1002/oby.20724 · Cited by 40
Excess body mass is associated with T cell differentiation indicative of immune ageing in children
Spielmann, G., Johnston, C., O’Connor, D. P., Foreyt, J. P., & Simpson, R. J. (2014) · Clinical & Experimental Immunology · doi:10.1111/cei.12267 · Cited by 39
Inflammatory Response to a High‐fat, Low‐carbohydrate Weight Loss Diet: Effect of Antioxidants
Peairs, A., & Rankin, J. W. (2008) · Obesity · doi:10.1038/oby.2008.252 · Cited by 39
Ruiz, J. R., Ortega, F. B., & Labayen, I. (2013) · Annals of Nutrition and Metabolism · doi:10.1159/000345026 · Cited by 38
Huang, L. O., Loos, R. J. F., & Kilpeläinen, T. O. (2018) · Physiological Genomics · doi:10.1152/physiolgenomics.00044.2017 · Cited by 39
Khan, U. I., Ogorodnikova, A. D., Xu, L., Wang, D., Wassertheil‐Smoller, S., Ho, G., Sowers, M. F., Rajpathak, S. N., Allison, M., Mackey, R. H., et al. (2013) · Obesity · doi:10.1002/oby.20139 · Cited by 37
Rondanelli, M., Klersy, C., Perna, S., Faliva, M. A., Montorfano, G., Roderi, P., Colombo, I., Corsetto, P. A., Fioravanti, M., Solerte, S. B., et al. (2015) · Lipids in Health and Disease · doi:10.1186/s12944-015-0131-1 · Cited by 38
Calanna, S., Piro, S., Pino, A. D., Zagami, R. M., Urbano, F., Purrello, F., & Rabuazzo, A. M. (2013) · Obesity · doi:10.1002/oby.20017 · Cited by 37
Association between fat free mass and glucose homeostasis: Common knowledge revisited
Perreault, K., Lagacé, J., Brochu, M., & Dionne, I. J. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.04.007 · Cited by 42
Self-citationAmouzou, C., Breuker, C., Fabre, O., Bourret, A., Lambert, K., Birot, O., Fédou, C., Dupuy, A., Cristol, J., Sutra, T., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154119 · Cited by 39
Soltani, S., Moslehi, N., Hosseini‐Esfahani, F., & Vafa, M. (2018) · Intern J Endocrinol Metab · doi:10.5812/ijem.60048 · Cited by 37
Tang, H., Liu, N., Feng, X., Yang, Y., Fang, Y., Zhuang, S., Dai, Y., Liu, M., & Tang, L. (2021) · Journal of Translational Medicine · doi:10.1186/s12967-021-02711-x · Cited by 37
Metabolic Syndrome and Insulin Resistance in Subjects with Morbid Obesity
Soverini, V., Moscatiello, S., Villanova, N., Ragni, E., Domizio, S. D., & Marchesini, G. (2009) · Obesity Surgery · doi:10.1007/s11695-009-9999-z · Cited by 37
Lobley, G. E., Holtrop, G., Bremner, D. M., Calder, A. G., Milne, E., & Johnstone, A. M. (2013) · Nutrients · doi:10.3390/nu5062144 · Cited by 38
Dietary Modulation of Metabolic Health: From Bioactive Compounds to Personalized Nutrition
Leziak, A., Lipina, J., Reclik, M., & Kocełak, P. (2025) · Metabolites · doi:10.3390/metabo15090624 · Cited by 36
LPS and palmitic acid Co-upregulate microglia activation and neuroinflammatory response
Lu, Z., Liu, S., Lopes-Virella, M. F., & Wang, Z. (2021) · Comprehensive Psychoneuroendocrinology · doi:10.1016/j.cpnec.2021.100048 · Cited by 38
Tan, P., Shamansurova, Z., Bisotto, S., Michel, C., Gauthier, M., RABASA-LHORET, R. P. R., Nguyen, T. M. ‐., Schiller, P. W., Gutkowska, J., & Lavoie, J. L. (2014) · Obesity · doi:10.1002/oby.20844 · Cited by 36
Self-citationBuchan, D. S., Boddy, L. M., Young, J. D., Cooper, S., Noakes, T. D., Mahoney, C., Shields, J. P. H., & Baker, J. S. (2015) · Research in Sports Medicine · doi:10.1080/15438627.2015.1040914 · Cited by 36
Is vitamin D status a determining factor for metabolic syndrome? A case-control study
Neyestani, T. R., Salekzamani, Majd, H. A., Houshiarrad, Kalayi, Shariatzadeh, & Gharavi (2011) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s21061 · Cited by 35
Exercise-induced anti-inflammatory effects in overweight/obese women with polycystic ovary syndrome
Dantas, W. S., das Neves, W., Gil, S. D. S., Barcellos, C. R. G., Rocha, M. P., de Sá‐Pinto, A. L., Roschel, H., & Gualano, B. (2019) · Cytokine · doi:10.1016/j.cyto.2019.04.006 · Cited by 35
The Metabolically Healthy But Obese Phenotype in African Americans
Cherqaoui, R., Kassim, T. A., Kwagyan, J., Freeman, C., Nunlee‐Bland, G., Ketete, M., Xu, S., & Randall, O. S. (2011) · Journal of Clinical Hypertension · doi:10.1111/j.1751-7176.2011.00565.x · Cited by 35
Barbat‐Artigas, S., Filion, M., Plouffe, S., & Aubertin‐Leheudre, M. (2011) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2011.0092 · Cited by 35
Ma, L., Huang, Y., Wang, Z.-T., Li, J., Hou, X., Shen, X., Ou, Y., Dong, Q., Tan, L., Yu, J., et al. (2019) · Aging · doi:10.18632/aging.102496 · Cited by 34
Comparison of muscle mass and quality between metabolically healthy and unhealthy phenotypes
Kim, H., Lee, M. J., Kim, E. H., Bae, S., Kim, K. W., & Kim, C. (2021) · Obesity · doi:10.1002/oby.23190 · Cited by 35
Karelis, A. D., Tousignant, B., Nantel, J., Proteau-Labelle, M., Malita, F. M., St-Pierre, D. H., Brochu, M., Doucet, É., & RABASA-LHORET, R. P. R. (2007) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h07-002 · Cited by 38
Self-citationGhachem, A., Lagacé, J., Brochu, M., & Dionne, I. J. (2018) · Aging Clinical and Experimental Research · doi:10.1007/s40520-018-0993-y · Cited by 35
Self-citationZhang, H., Zhang, T., Li, S., Li, Y., Hussain, A., Fernandez, C., Harville, E. W., Bazzano, L., He, J., & Chen, W. (2015) · Scientific Reports · doi:10.1038/srep17885 · Cited by 36
Insulin resistance persists despite a metabolically healthy obesity phenotype
Hoddy, K. K., Axelrod, C. L., Mey, J. T., Hari, A., Beyl, R. A., Blair, J. B., Dantas, W. S., & Kirwan, J. P. (2021) · Obesity · doi:10.1002/oby.23312 · Cited by 33
"Predictability of body mass index for diabetes: Affected by the presence of metabolic syndrome?"
Hadaegh, F., Bozorgmanesh, M., Safarkhani, M., Khalili, D., & Azizi, F. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-383 · Cited by 33
Sesti, G., Succurro, E., Arturi, F., Andreozzi, F., Laino, I., Perticone, M., Sciacqua, A., Hribal, M. L., & Perticone, F. (2010) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2010.02.008 · Cited by 33
Impact of OSA on Biological Markers in Morbid Obesity and Metabolic Syndrome
Salord, N., Gasa, M., Mayos, M., Fortuna-Gutiérrez, A. M., Montserrat, J. M., Sánchez‐de‐la‐Torre, M., Barceló, A., Barbé, F., Vilarrasa, N., & Monasterio, C. (2014) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.3524 · Cited by 33
Malita, F. M., Karelis, A. D., St-Pierre, D., Garrel, D. R., Bastard, J., Tardif, A., Prud’homme, D., & RABASA-LHORET, R. P. R. (2006) · Diabetes & Metabolism · doi:10.1016/s1262-3636(07)70276-8 · Cited by 33
Self-citationLee, A. A., & Den Hartigh, L. J. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1682231 · Cited by 32
Are all metabolically healthy individuals with obesity at the same risk of diabetes onset?
Navarro‐González, D., Sánchez‐Íñigo, L., Fernández‐Montero, A., Delgado, J. P., & Martínez, J. A. (2016) · Obesity · doi:10.1002/oby.21667 · Cited by 32
Baek, S. H., Kim, M., Kim, M., Kang, M., Yoo, H. J., Lee, N. H., Kim, Y. H., Song, M., & Lee, J. H. (2016) · Obesity · doi:10.1002/oby.21724 · Cited by 32
Fabre, O., Breuker, C., Amouzou, C., Salehzada, T., Kitzmann, M., Mercier, J. G., & Bisbal, C. (2014) · Cell Death and Disease · doi:10.1038/cddis.2014.104 · Cited by 33
Role of childhood growth on the risk of metabolic syndrome in obese men and women
Salonen, M. K., Kajantie, E., Osmond, C., Forsén, T., Ylihärsilä, H., Paile‐Hyvärinen, M., Barker, D. J. P., & Eriksson, J. G. (2009) · Diabetes & Metabolism · doi:10.1016/j.diabet.2008.08.008 · Cited by 33
Obesity and coronary risk in patients treated with second-generation antipsychotics
Correll, C. U., Kane, J. M., & Manu, P. (2010) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-010-0177-z · Cited by 31
Adipose tissue inflammation and insulin resistance: all obese humans are not created equal
Gauthier, M., & Ruderman, N. B. (2010) · Biochemical Journal · doi:10.1042/bj20101062 · Cited by 32
Matta, J., Nasreddine, L., Jomaa, L. H., Hwalla, N., Sibai, A. M., Czernichow, S., Itani, L., & Naja, F. (2016) · Nutrients · doi:10.3390/nu8070432 · Cited by 30
A Role for Oncostatin M in the Impairment of Glucose Homeostasis in Obesity
Piquer‐Garcia, I., Campderrós, L., Taxerås, S. D., Gavaldà‐Navarro, A., Pardo, R., Vila, M., Pellitero, S., Martínez, E., Tarascó, J., Moreno, P., et al. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgz090 · Cited by 33
Mongraw‐Chaffin, M., Hairston, K. G., Hanley, A. J., Tooze, J. A., Norris, J. M., Palmer, N. D., Bowden, D. W., Lorenzo, C., Chen, Y.-D. I., & Wagenknecht, L. E. (2021) · Obesity · doi:10.1002/oby.23177 · Cited by 30
Reduced leukocyte mitochondrial copy number in metabolic syndrome and metabolically healthy obesity
Agius, R., Pace, N. P., & Fava, S. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.886957 · Cited by 31
Shin, J. A., Mo, E. Y., Kim, E. S., Moon, S. D., & Han, J. H. (2014) · International Journal of Endocrinology · doi:10.1155/2014/104318 · Cited by 30
Kraushaar, L. E., & Krämer, A. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-64 · Cited by 30
Krishna, K. B., Stefanović-Račić, M., Dedousis, N. L., SIPULA, I. J., & O'Doherty, R. M. (2016) · Physiological Reports · doi:10.14814/phy2.12708 · Cited by 33
Xue, H., Zou, Y., Yang, Q., Zhang, Z., Zhang, J., Wei, X., Zhou, J., Tao, X., Zhang, C., Xia, Y., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e28792 · Cited by 29
Du, T., Zhang, J., Yuan, G., Zhang, M., Zhou, X., Liu, Z., Sun, X., & Yu, X. (2014) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2014.07.006 · Cited by 29
Metabolic phenotyping in people living with obesity: Implications for dietary prevention
Blaak, E. E., & Goossens, G. H. (2023) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-023-09830-4 · Cited by 31
Is a nutritional therapeutic approach unsuitable for metabolically healthy but obese women?
Perseghin, G. (2008) · Diabetologia · doi:10.1007/s00125-008-1077-x · Cited by 29
Biuso, T. J., Butterworth, S. W., & Linden, A. (2007) · Disease Management · doi:10.1089/dis.2006.628 · Cited by 28
Rasaei, N., Mirzababaei, A., Arghavani, H., Tajik, S., Keshavarz, S. A., Yekaninejad, M. S., Imani, H., & Mirzaei, K. (2018) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2018.06.023 · Cited by 27
Anti-Inflammatory Diets for Obesity and Diabetes
Sears, B. (2009) · Journal of the American College of Nutrition · doi:10.1080/07315724.2009.10718115 · Cited by 27
Roos, V., Elmståhl, S., Ingelsson, E., Sundström, J., Ärnlöv, J., & Lind, L. (2016) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2016.0082 · Cited by 27
Risk of diabetes according to the metabolic health status and degree of obesity
Janghorbani, M., Salamat, M. R., Amini, M., & Aminorroaya, A. (2017) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2017.03.032 · Cited by 27
Differences between Metabolically Healthy vs Unhealthy Obese Children and Adolescents
Khokhar, A., Chin, V. L., Perez-Colon, S., Farook, T., Bansal, S., Kochummen, E., & Umpaichitra, V. (2017) · Journal of the National Medical Association · doi:10.1016/j.jnma.2017.02.008 · Cited by 27
Bradshaw, P. T., Reynolds, K. R., Wagenknecht, L. E., Ndumele, C. E., & Stevens, J. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.249 · Cited by 27
Bellia, A., Marinoni, G. M., D’Adamo, M., Guglielmi, V., Lombardo, M., Donadel, G., Gentileschi, P., Lauro, D., Federici, M., Lauro, R., et al. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-2513 · Cited by 26
Latifi, S. M., Karandish, M., Shahbazian, H. B., Jalaly, M., Cheraghian, B., & Moradi, M. (2017) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2017.07.036 · Cited by 26
Naja, F., Itani, L., Nasrallah, M., Chami, H. A., Tamim, H., & Nasreddine, L. (2019) · European Journal of Nutrition · doi:10.1007/s00394-019-02063-9 · Cited by 26
Chashmniam, S., Hashemi‐Madani, N., Gh, B. F. N. M., Safari‐Alighiarloo, N., & Khamseh, M. E. (2020) · PubMed Central · doi:10.22038/ijbms.2019.37885.9004 · Cited by 26
Body composition and risk of gastric cancer: A population‐based prospective cohort study
Liu, A.-R., He, Q., Wu, W., Du, J., Kuo, Z., Xia, B., Tang, Y., Yun, P., Cheung, E. C., Tang, Y.-Z., et al. (2021) · Cancer Medicine · doi:10.1002/cam4.3808 · Cited by 26
Metabolic Effects of Bariatric Surgery in Insulin-Sensitive Morbidly Obese Subjects
Jiménez, A., Perea, V., Corcelles, R., Moize, V. L., Lacy, A. M., & Vidal, J. (2012) · Obesity Surgery · doi:10.1007/s11695-012-0817-7 · Cited by 27
Germain, N., Viltart, O., Loyens, A., Bruchet, C., Nadin, K., Wolowczuk, I., Estour, B., & Galusca, B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161890 · Cited by 26
He, Q., Zheng, R., Song, W., Sun, X., & Lu, C. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.16040 · Cited by 25
Potential role of omega‐3‐derived resolution mediators in metabolic inflammation
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Metadata
- Authors
- Karelis, A. D., Faraj, M., Bastard, J.-P., St-Pierre, D. H., Brochu, M., Prud’homme, D., & Rabasa-Lhoret, R.
- Affiliations
- Université de Montréal (CA)
- Inserm (FR)
- Université de Sherbrooke (CA)
- University of Ottawa (CA)
- Corresponding author
- Karelis, Antony D.
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2005-07
- Volume
- 90
- Issue
- 7
- Pages
- 4145-4150
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2115195372
- Cited by
- 579
- References
- 33
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 14 · 2023: 18 · 2022: 26 · 2021: 29 · 2020: 27 · 2019: 33 · 2018: 35 · 2017: 31 · 2016: 35 · 2015: 33 · 2014: 62 · 2013: 49 · 2012: 34
- FWCI
- 9.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- obesity, inflammation, C-reactive protein, alpha-1-antitrypsin, insulin sensitivity, insulin resistance, postmenopausal women, visceral fat, body composition, lipoproteins, triglycerides, glucose disposal, cardiovascular risk, coronary artery disease
- MeSH terms
- Adult, Aged, alpha 1-Antitrypsin, Body Composition, C-Reactive Protein, Cardiovascular Diseases, Female, Humans, Middle Aged, Obesity, Regression Analysis, Postmenopause
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