Leptin Physiology and Pathophysiology in the Elderly. Advances in Clinical Chemistry Volume 41. Elsevier; 2006. pp. 123-66. [DOI: 10.1016/s0065-2423(05)41004-5]

Aging linked to type 2 diabetes increases oxidative stress and chronic inflammation

Oxidative stress (OxS) and inflammation are physiopathological mechanisms related to diabetes and aging. We evaluated the additive effect of diabetes and aging on OxS and inflammation in a cross-sectional comparative study of 228 subjects: (1) 56 healthy adults (mean age, 47 ± 7 years); (2) 60 diabetic adults (mean age, 52 ± 6 years); (3) 40 healthy elderly adults (mean age, 67 ± 7 years); and (4) 72 diabetic elderly adults (mean age, 68 ± 7 years). We measured levels of glycosylated hemoglobin (HbA1c), plasma lipid peroxides, superoxide dismutase, glutathione peroxidase, total antioxidants, and tumor necrosis factor-alpha (TNF-α). The results indicate that diabetes is a risk factor for subjects with high serum levels of TNF-α (odds ratio [OR] = 12.1; 95% confidence interval [95% CI], 5.0-28; p < 0.001); this correlation becomes stronger when it is also associated with aging (OR = 14; 95% CI, 3.7-53.7; p < 0.05). Likewise, we observed that diabetes is an independent risk factor for OxS (OR = 2.1; 95% CI, 1.2-3.8; p < 0.05), and a stronger factor in older patients (OR = 3.1; 95% CI, 1.3-7.5; p < 0.05). Our findings suggest that aging, in concert with diabetes, exerts an additive effect on OxS and inflammation.

Relation between adiponectin and bone mineral density in elderly post-menopausal women: role of body composition, leptin, insulin resistance, and dehydroepiandrosterone sulfate

INTRODUCTION

Adipocytokines have been proposed as new mediators of the protective effects of fat mass on the skeleton. The aim of this study was to test the relationship between adiponectin, leptin, and bone mineral density (BMD), independently of body composition, insulin resistance, and other factors known to affect bone metabolism.

METHODS

Thirty-six post-menopausal non-diabetic elderly women, with ages ranging from 66 to 77 yr took part in the study. In all subjects we evaluated body weight, height, body mass index (BMI), waist circumference, adiponectin, leptin, insulin, DHEAS, and homeostasis model assessment of insulin resistance (HOMA), as well as yr since menopause. Total body fat mass (FM) and BMD at whole body and femoral level were measured with Dual energy X-ray Absorptiometry (DXA). Volumetric BMD was defined as the ratio between total body BMD and height.

RESULTS

Leptin was positively and adiponectin negatively related with whole body and femoral BMD. Positive associations between insulin, HOMA, DHEAS, and BMD measures were also found. After adjusting for FM, only adiponectin maintained a significant relation with whole body and femoral BMD; the strength of this association was reduced after adjustment for insulin resistance, estimated by HOMA. In stepwise multiple linear regression analyses adiponectin explained 11.7% of total BMD variance, 17.4% of femoral neck BMD variance, and 30.7% of volumetric BMD variance, independently of BMI, FM, leptin, HOMA, and DHEAS.

CONCLUSIONS

The present study may suggest possible involvement of adiponectin in bone metabolism, independently of FM and insulin resistance even in elderly post-menopausal women.

Biomarkers related to aging in human populations

Biomarkers are increasingly employed in empirical studies of human populations to understand physiological processes that change with age, diseases whose onset appears linked to age, and the aging process itself. In this chapter, we describe some of the most commonly used biomarkers in population aging research, including their collection, associations with other markers, and relationships to health outcomes. We discuss biomarkers of the cardiovascular system, metabolic processes, inflammation, activity in the hypothalamic-pituitary axis (HPA) and sympathetic nervous system (SNS), and organ functioning (including kidney, lung, and heart). In addition, we note that markers of functioning of the central nervous system and genetic markers are now becoming part of population measurement. Where possible, we detail interrelationships between these markers by providing correlations between high risk levels of each marker from three population-based surveys: the National Health and Nutrition Examination Survey (NHANES) III, NHANES 1999-2002, and the MacArthur Study of Successful Aging. NHANES III is used instead of NHANES 1999-2002 when specific markers of interest are available only in NHANES III and when we examine the relationship of biomarkers to mortality which is only known for NHANES III. We also describe summary measures combining biomarkers across systems. Finally, we examine associations between individual markers and mortality and provide information about biomarkers of growing interest for future research in population aging and health.