Literature DB >> 27139423

Fitness, adiposopathy, and adiposity are independent predictors of insulin sensitivity in middle-aged men without diabetes.

Claire Huth1,2, Étienne Pigeon1,2, Marie-Ève Riou1,2, Josée St-Onge1,2, Hélène Arguin1,2, Erick Couillard1,2, Marie-Julie Dubois2, André Marette2,3, Angelo Tremblay1,2, S John Weisnagel1,4, Michel Lacaille1,2, Pascale Mauriège1,2, Denis R Joanisse5,6,7.   

Abstract

Adiposopathy, or sick fat, refers to adipose tissue dysfunction that can lead to several complications such as dyslipidemia, insulin resistance, and hyperglycemia. The relative contribution of adiposopathy in predicting insulin resistance remains unclear. We investigated the relationship between adiposopathy, as assessed as a low plasma adiponectin/leptin ratio, with anthropometry, body composition (hydrostatic weighing), insulin sensitivity (hyperinsulinemic-euglycemic clamp), inflammation, and fitness level (ergocycle VO2max, mL/kgFFM/min) in 53 men (aged 34-53 years) from four groups: sedentary controls without obesity (body mass index [BMI] <25 kg/m(2)), sedentary with obesity (BMI > 30 kg/m(2)), sedentary with obesity and glucose intolerance, and endurance trained active without obesity. The adiponectin/leptin ratio was the highest in trained men (4.75 ± 0.82) and the lowest in glucose intolerant subjects with obesity (0.27 ± 0.06; ANOVA p < 0.0001) indicating increased adiposopathy in those with obesity. The ratio was negatively associated with adiposity (e.g., waist circumference, r = -0.59, p < 0.01) and positively associated with VO2max (r = 0.67, p < 0.01) and insulin sensitivity (M/I, r = 0.73, p < 0.01). Multiple regression analysis revealed fitness as the strongest independent predictor of insulin sensitivity (partial R (2) = 0.61). While adiposopathy was also an independent and significant contributor (partial R (2) = 0.10), waist circumference added little power to the model (partial R (2) = 0.024). All three variables remained significant independent predictors when trained subjects were excluded from the model. Plasma lipids were not retained in the model. We conclude that low fitness, adiposopathy, as well as adiposity (and in particular abdominal obesity) are independent contributors to insulin resistance in men without diabetes.

Entities:  

Keywords:  Adiponectin; Hyperinsulinemic-euglycemic clamp; Insulin resistance; Leptin; Obesity

Mesh:

Substances:

Year:  2016        PMID: 27139423     DOI: 10.1007/s13105-016-0488-2

Source DB:  PubMed          Journal:  J Physiol Biochem        ISSN: 1138-7548            Impact factor:   4.158


  37 in total

1.  Monocyte chemotactic protein-1 is a potential player in the negative cross-talk between adipose tissue and skeletal muscle.

Authors:  Henrike Sell; Daniela Dietze-Schroeder; Ulrike Kaiser; Jürgen Eckel
Journal:  Endocrinology       Date:  2006-01-26       Impact factor: 4.736

2.  Negative energy balance with exercise in identical twins: plasma glucose and insulin responses.

Authors:  J M Oppert; A Nadeau; A Tremblay; J P Després; G Thériault; C Bouchard
Journal:  Am J Physiol       Date:  1997-02

3.  Adiposopathy is "sick fat" a cardiovascular disease?

Authors:  Harold E Bays
Journal:  J Am Coll Cardiol       Date:  2011-06-21       Impact factor: 24.094

4.  Psychophysical bases of perceived exertion.

Authors:  G A Borg
Journal:  Med Sci Sports Exerc       Date:  1982       Impact factor: 5.411

5.  Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation.

Authors:  K G Alberti; P Z Zimmet
Journal:  Diabet Med       Date:  1998-07       Impact factor: 4.359

6.  Validation of a simple index (SIisOGTT) of insulin sensitivity in a population of sedentary men.

Authors:  E Pigeon; M E Riou; J St-Onge; E Couillard; A Tremblay; A Marette; S J Weisnagel; D R Joanisse
Journal:  Diabetes Metab       Date:  2009-09-05       Impact factor: 6.041

7.  Gene expression of different adipose tissues of severely obese women with or without a dysmetabolic profile.

Authors:  P Mauriège; D R Joanisse; S CasparBauguil; A Cartier; I Lemieux; J Bergeron; S Biron; P Marceau; D Richard
Journal:  J Physiol Biochem       Date:  2015-10-10       Impact factor: 4.158

Review 8.  Adiposopathy, "sick fat," Ockham's razor, and resolution of the obesity paradox.

Authors:  Harold Bays
Journal:  Curr Atheroscler Rep       Date:  2014-05       Impact factor: 5.113

9.  Adipokines mediate inflammation and insulin resistance.

Authors:  Hyokjoon Kwon; Jeffrey E Pessin
Journal:  Front Endocrinol (Lausanne)       Date:  2013-06-12       Impact factor: 5.555

Review 10.  Adipose tissue and adipokines: the association with and application of adipokines in obesity.

Authors:  Muhammad Khan; Frank Joseph
Journal:  Scientifica (Cairo)       Date:  2014-09-17
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  12 in total

1.  Gender Differences in the Pattern of Socio-Demographics Relevant to Metabolic Syndrome Among Kenyan Adults with Central Obesity at a Mission Hospital in Nairobi, Kenya.

Authors:  Okubatsion Tekeste Okube; Samuel T Kimani; Waithira Mirie
Journal:  High Blood Press Cardiovasc Prev       Date:  2020-01-25

Review 2.  Adiponectin-leptin ratio: A promising index to estimate adipose tissue dysfunction. Relation with obesity-associated cardiometabolic risk.

Authors:  Gema Frühbeck; Victoria Catalán; Amaia Rodríguez; Javier Gómez-Ambrosi
Journal:  Adipocyte       Date:  2017-12-05       Impact factor: 4.534

3.  Leptin is associated with cardiopulmonary fitness independent of body-mass index and insulin sensitivity in adolescents with type 1 diabetes: a brief report from the EMERALD study.

Authors:  Petter Bjornstad; Melanie Cree-Green; Amy Baumgartner; Gregory Coe; Yesenia Garcia Reyes; Michal Schafer; Laura Pyle; Judith G Regensteiner; Jane E B Reusch; Kristen J Nadeau
Journal:  J Diabetes Complications       Date:  2017-03-14       Impact factor: 2.852

Review 4.  Assessment of aerobic exercise capacity in obesity, which expression of oxygen uptake is the best?

Authors:  Na Zhou
Journal:  Sports Med Health Sci       Date:  2021-02-10

5.  Comparing an adiposopathy approach with four popular classifications schemes to categorize the metabolic profile of postmenopausal women.

Authors:  Pascale Mauriège; Antony D Karelis; Nadine Taleb; Andrée-Anne Clément; Denis R Joanisse
Journal:  J Physiol Biochem       Date:  2020-09-24       Impact factor: 4.158

6.  The relationship between adiposopathy and glucose-insulin homeostasis is not affected by moderate-intensity aerobic training in healthy women with obesity.

Authors:  Andrée-Anne Clément; Eléonor Riesco; Sébastien Tessier; Michel Lacaille; Francine Pérusse; Mélanie Coté; Jean-Pierre Després; John Weisnagel; Jean Doré; Denis R Joanisse; Pascale Mauriège
Journal:  J Physiol Biochem       Date:  2018-04-26       Impact factor: 4.158

Review 7.  Could Age, Sex and Physical Fitness Affect Blood Glucose Responses to Exercise in Type 1 Diabetes?

Authors:  Jane E Yardley; Nicole K Brockman; Richard M Bracken
Journal:  Front Endocrinol (Lausanne)       Date:  2018-11-15       Impact factor: 5.555

8.  Visceral fat and cardiorespiratory fitness with prevalence of pre-diabetes/diabetes mellitus among middle-aged and elderly Japanese people: WASEDA'S Health Study.

Authors:  Chiyoko Usui; Ryoko Kawakami; Kumpei Tanisawa; Tomoko Ito; Hiroki Tabata; Satoshi Iizuka; Takuji Kawamura; Taishi Midorikawa; Susumu S Sawada; Suguru Torii; Shizuo Sakamoto; Katsuhiko Suzuki; Kaori Ishii; Koichiro Oka; Isao Muraoka; Mitsuru Higuchi
Journal:  PLoS One       Date:  2020-10-20       Impact factor: 3.240

9.  Insulin Resistance in Skeletal Muscle of Chronic Stroke.

Authors:  Alice S Ryan; Charlene Hafer-Macko; Heidi K Ortmeyer
Journal:  Brain Sci       Date:  2020-12-26

Review 10.  Abdominal obesity and metabolic syndrome: exercise as medicine?

Authors:  Carole A Paley; Mark I Johnson
Journal:  BMC Sports Sci Med Rehabil       Date:  2018-05-04
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