scholarly journals Impact of age on leptin and adiponectin independent of adiposity

2012 ◽  
Vol 108 (2) ◽  
pp. 363-370 ◽  
Author(s):  
Britta Schautz ◽  
Wiebke Later ◽  
Martin Heller ◽  
Achim Peters ◽  
Manfred J. Müller ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Body Fat ◽  
Fat Distribution ◽  
Cross Sectional Study ◽  
Body Fat Distribution ◽  
Whole Body ◽  
Cross Sectional ◽  
Age Related ◽  
A Minor ◽  
Age Related Changes

Age-related changes in leptin and adiponectin levels remain controversial, being affected by inconsistent normalisation for adiposity and body fat distribution in the literature. In a cross-sectional study on 210 Caucasians (127 women, eighty-three men, 18–78 years, BMI 16·8–46·8 kg/m2), we investigated the effect of age on adipokine levels independent of fat mass (FM measured by densitometry), visceral and subcutaneous adipose tissue volumes (VAT and SAT assessed by whole-body MRI). Adiponectin levels increased with age in both sexes, whereas leptin levels decreased with age in women only. There was an age-related increase in VAT (as a percentage of total adipose tissue, VAT%TAT), associated with a decrease in SATlegs%TAT. Adiposity was the main predictor of leptin levels, with 75·1 % of the variance explained by %FM in women and 76·6 % in men. Independent of adiposity, age had a minor contribution to the variance in leptin levels (5·2 % in women only). The variance in adiponectin levels explained by age was 14·1 % in women and 5·1 % in men. In addition, independent and inverse contributions to the variance in adiponectin levels were found for truncal SAT (explaining additional 3·0 % in women and 9·1 % in men) and VAT%TAT (explaining additional 13·0 % in men). In conclusion, age-related changes in leptin and adiponectin levels are opposite to each other and partly independent of adiposity and body fat distribution. Normalisation for adiposity but not for body fat distribution is required for leptin. Adiponectin levels are adversely affected by subcutaneous and visceral trunk fat.

scholarly journals Phenotypic Heterogeneity in Body Fat Distribution in Patients with Congenital Generalized Lipodystrophy Caused by Mutations in the AGPAT2 or Seipin Genes

2003 ◽  
Vol 88 (11) ◽  
pp. 5433-5437 ◽  
Author(s):  
Vinaya Simha ◽  
Abhimanyu Garg
Keyword(s):  
Adipose Tissue ◽  
Body Fat ◽  
Autosomal Recessive ◽  
Acanthosis Nigricans ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Whole Body ◽  
Severe Insulin Resistance ◽  
Congenital Generalized Lipodystrophy ◽  
Chromosome 9Q34

Abstract Congenital generalized lipodystrophy (CGL) is a rare autosomal recessive syndrome characterized by extreme paucity of adipose tissue since birth, acanthosis nigricans, severe insulin resistance, marked hypertriglyceridemia, and early-onset diabetes mellitus. Recently, we reported mutations in the 1-acylglycerol-3-phosphate O-acyltransferase 2 (AGPAT2) gene in CGL pedigrees linked to chromosome 9q34 (CGL1 subtype), and mutations in the Seipin gene were reported in pedigrees linked to chromosome 11q13 (CGL2 subtype). Whether the two subtypes have differences in body fat distribution has not been investigated. We, therefore, compared whole-body adipose tissue distribution by magnetic resonance imaging in 10 CGL patients, of whom seven (six females, one male) had CGL1 and three (two males, one female) had CGL2. Both subtypes had marked lack of metabolically active adipose tissue located at most sc, intermuscular, bone marrow, intraabdominal, and intrathoracic regions. Paucity of mechanical adipose tissue in the palms, soles, orbits, scalp, and periarticular regions was noted in CGL2, whereas it was well preserved in CGL1 patients. We conclude that CGL patients with Seipin mutations have a more severe lack of body fat, which affects both metabolically active and mechanical adipose tissue, compared with patients with mutations in the AGPAT2 gene.

scholarly journals Age-Related Changes in Body Fat Distribution in Middle-Aged and Elderly Japanese.

1992 ◽  
Vol 100 (2) ◽  
pp. 161-169 ◽  
Author(s):  
Shuichi KOMIYA ◽  
Yasuhiro MURAOKA ◽  
Fu-Sheng ZHANG ◽  
Takashi MASUDA
Keyword(s):  
Body Fat ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Middle Aged ◽  
Age Related ◽  
Elderly Japanese ◽  
Age Related Changes

scholarly journals AKR1C2 and AKR1C3 expression in adipose tissue: association with body fat distribution and regulatory variants

2021 ◽  
pp. 111220
Author(s):  
Giada Ostinelli ◽  
Jinchu Vijay ◽  
Marie-Claude Vohl ◽  
Elin Grundberg ◽  
Andre Tchernof
Keyword(s):  
Adipose Tissue ◽  
Body Fat ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Regulatory Variants

Investigating the relationship between insulin resistance and adipose tissue in a randomized Tehrani population

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jalaledin Mirzay Razzaz ◽  
Hossein Moameri ◽  
Zahra Akbarzadeh ◽  
Mohammad Ariya ◽  
Seyed ali Hosseini ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Body Fat ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Cross Sectional ◽  
Body Fat Percent ◽  
The Relationship

Abstract Objectives Insulin resistance is the most common metabolic change associated with obesity. The present study aimed to investigate the relationship between insulin resistance and body composition especially adipose tissue in a randomized Tehrani population. Methods This study used data of 2,160 individuals registered in a cross-sectional study on were randomly selected from among subjects who were referred to nutrition counseling clinic in Tehran, from April 2016 to September 2017. Insulin resistance was calculated by homeostasis model assessment formula. The odds ratio (95% CI) was calculated using logistic regression models. Results The mean age of the men was 39 (±10) and women were 41 (±11) (the age ranged from 20 to 50 years). The risk of increased HOMA-IR was 1.03 (95% CI: 1.01–1.04) for an increase in one percent of Body fat, and 1.03 (95% CI: 1.00–1.05) for an increase in one percent of Trunk fat. Moreover, the odds ratio of FBS for an increase in one unit of Body fat percent and Trunk fat percent increased by 1.05 (adjusted odds ratio [95% CI: 1.03, 1.06]) and 1.05 (95% CI: 1.02, 1.08). Also, the risk of increased Fasting Insulin was 1.05 (95% CI: 1.03–1.07) for an increase in one unit of Body fat percent, and 1.05 (95% CI: 1.02–1.08) for an increase in one unit of Trunk fat percent. Conclusions The findings of the present study showed that there was a significant relationship between HOMA-IR, Fasting blood sugar, Fasting Insulin, and 2 h Insulin with percent of Body fat, percent of Trunk fat.

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