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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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Cites
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).”
ResultFasting Triglycerides, High-Density Lipoprotein, and Risk of Myocardial Infarction
Gaziano, J. M., Hennekens, C. H., O’Donnell, C. J., Breslow, J. L., & Buring, J. E. (1997) · Circulation · doi:10.1161/01.cir.96.8.2520 · Cited by 602
High-sensitivity C-reactive protein
Bassuk, S. S., Rifai, N., & Ridker, P. M. (2004) · Current Problems in Cardiology · doi:10.1016/s0146-2806(04)00074-x · Cited by 493
Are there persons who are obese, but metabolically healthy?
Sims, E. A. H. (2001) · Metabolism · doi:10.1053/meta.2001.27213 · Cited by 454
Brochu, M., Tchernof, A., Dionne, I. J., Sites, C. K., Eltabbakh, G. H., Sims, E. A. H., & Poehlman, E. T. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.3.7365 · Cited by 443
Self-citationC-Reactive Protein Modulates Risk Prediction Based on the Framingham Score
Köenig, W., Löwel, H., Baumert, J. J., & Meisinger, C. (2004) · Circulation · doi:10.1161/01.cir.0000120707.98922.e3 · Cited by 440
Simoneau, J., Colberg, S. R., Thaete, F. L., & Kelley, D. E. (1995) · The FASEB Journal · doi:10.1096/fasebj.9.2.7781930 · Cited by 362 · cited 1×
“Areas of skeletal muscle, fat, and muscle attenuation were calculated by delineating the regions of interest and then computing the surface areas using attenuation range of 190 to 30 HU for fat and 0 to 100 HU for skeletal muscle (21).”
MethodCan we identify metabolically healthy but obese individuals (MHO)?
Karelis, A. D., Brochu, M., & RABASA-LHORET, R. P. R. (2004) · Diabetes & Metabolism · doi:10.1016/s1262-3636(07)70156-8 · Cited by 269
Self-citationPerseghin, G., Caumo, A., Caloni, M., Testolin, G., & Luzi, L. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.10.7902 · Cited by 259
Dvorak, R. V., DeNino, W. F., Ades, P. A., & Poehlman, E. T. (1999) · Diabetes · doi:10.2337/diabetes.48.11.2210 · Cited by 243 · cited 1×
“In fact, the metabolic profiles of MHO postmenopausal women are virtually indistinguishable from young lean women (4).”
BackgroundMetabolic and Inflammation Variable Clusters and Prediction of Type 2 Diabetes
Hanley, A. J. G., Festa, A., D’Agostino, R. B., Wagenknecht, L. E., Savage, P. J., Tracy, R. P., Saad, M. F., & Haffner, S. M. (2004) · Diabetes · doi:10.2337/diabetes.53.7.1773 · Cited by 198
Campos, S. P., & Baumann, H. (1992) · Molecular and Cellular Biology · doi:10.1128/mcb.12.4.1789 · Cited by 183
You, T., Ryan, A. S., & Nicklas, B. J. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0480 · Cited by 150
Engström, G., Stavenow, L., Hedblad, B., Lind, P., Eriksson, K., Janzon, L., & Lindgärde, F. (2003) · Diabetes · doi:10.2337/diabetes.52.2.442 · Cited by 143
Diabesity: An Inflammatory Metabolic Condition
Schmidt, M. I., & Duncan, B. B. (2003) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2003.174 · Cited by 140
Diamant, M., Lamb, H. J., van de Ree, M. A., Endert, E. L., Groeneveld, Y., Bots, M. L., Kostense, P. J., & Radder, J. K. (2005) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-1579 · Cited by 98
Lee, W., Park, J., Noh, S.-Y., Rhee, E., Sung, K., Kim, B., Kang, J.-H., Kim, S.-W., Lee, M., & Park, J.-R. (2004) · International Journal of Cardiology · doi:10.1016/j.ijcard.2003.08.016 · Cited by 97
Engström, G., Hedblad, B., Stavenow, L., Jonsson, S., Lind, P., Janzon, L., & Lindgärde, F. (2004) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000134293.31512.be · Cited by 82
Fatality of Future Coronary Events Is Related to Inflammation-Sensitive Plasma Proteins
Engström, G., Hedblad, B., Stavenow, L., Tydén, P., Lind, P., Janzon, L., & Lindgärde, F. (2004) · Circulation · doi:10.1161/01.cir.0000133277.88655.00 · Cited by 76
Engström, G., Stavenow, L., Hedblad, B., Lind, P., Tydén, P., Janzon, L., & Lindgärde, F. (2003) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000102924.11767.8d · Cited by 54
Moro, E., Gallina, P., Pais, M., Cazzolato, G., Alessandrini, P., & Bittolo-Bon, G. (2003) · Metabolism · doi:10.1053/meta.2003.50102 · Cited by 53
Dvořák, R., DeNino, W. F., Ades, P. A., Ades, P., & Poehlman, É. T. (1999) · Cited by 40
Role of muscle morphology in the development of insulin resistance and metabolic syndrome.
Krotkiewski, M. (1994) · PubMed · Cited by 34
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1 of the 33 references couldn’t be matched to a known paper.
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Chait, A., & den Hartigh, L. J. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.00022 · Cited by 1,529
Obesity and Cardiovascular Disease
Ortega, F. B., Lavie, C. J., & Blair, S. N. (2016) · Circulation Research · doi:10.1161/circresaha.115.306883 · Cited by 1,254
Body Mass Index, Metabolic Syndrome, and Risk of Type 2 Diabetes or Cardiovascular Disease
Meigs, J. B., Wilson, P. W. F., Fox, C. S., Vasan, R. S., Nathan, D. M., SULLIVAN, L. M., & D’Agostino, R. B. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-0594 · Cited by 1,088
Are Metabolically Healthy Overweight and Obesity Benign Conditions?
Kramer, C. K., Zinman, B., & Retnakaran, R. R. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-159-11-201312030-00008 · Cited by 979
Assessing Adiposity: A Scientific Statement From the American Heart Association
Cornier, M.-A., Després, J.-P., Davis, N., Grossniklaus, D. A., Klein, S., Lamarche, B., Lopez-Jimenez, F., Rao, G., St-Onge, M.-P., Towfighi, A., et al. (2011) · Circulation · doi:10.1161/cir.0b013e318233bc6a · Cited by 945
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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