Saratov JOURNAL of Medical and Scientific Research

Age-dependent dynamics of screening metabolic parameters in long-livers and its biophysical estimation

Summary:

The purpose of the study: to examine age-dependent dynamics of parameters of biochemical screening in long-livers. Material and methods. The study included 201 long-livers divided (Saratov) into two groups: the main group (centenarians) and the control group (90-99 y.o.). Basic parameters of biochemical screening were analyzed. Results. The suited sample of centenarians characterized by significantly lower levels of total cholesterol, triglycerids, glucose and creatinine. All studied parameters progrediently decreased from early long-livers age to centenarians. Maximal rates of age dependencies allowed us to confirm maximal weight of lipids in early longevity and glucose and creatinine in centenarians. Conclusion. All present results are most likely explained by the combined effects of genetic, environmental and "hundred years" factors leading to dynamic remodeling of control systems. Major result of such remodeling is age-dependent optimal level of metabolic factors as a mechanism of successive ageing.

Bibliography:
1. Mackinnon A, Christensen H, Jorm AF. Search for a common cause factor amongst cognitive, speed and biological variables using narrow age cohorts. Gerontology 2006; 52: 243-57
2. Spazzafumo L, Olivieri F, Abbatecola AM, et al. Remodelling of biological parameters during human ageing: evidence for complex regulation in longevity and in type 2 diabetes. Age (Dordr)2013;35:419-29
3. Franceschi C, Valensin S, Bonafe M, et al. The network and the remodeling theories of aging: historical background and new perspectives. Exp Gerontol 2000; 35: 879-96
4. Yashin Al, Arbeev KG, Akushevich I, et al. Exceptional survivors have lower age trajectories of blood glucose: lessons from longitudinal data. Biogerontology 2010; 11: 257-65
5. Barbieri M, Rizzo MR, Manzella D, et al. Glucose regulation and oxidative stress in healthy centenarians. Exp Gerontol 2003; 38: 137-438 6. Volkenshteyn MV. Biophysics. M.: Science, 1988
7. Barbagallo CM, Averna MR, Frada G, Noto D, Cavera G, Notarbartolo A. Lipoprotein profile and high-density lipoproteins: subtractions distribution in centenarians. Gerontology 1998; 44: 106-10
8. MacGregor MS. How to measure renal function in clinical practice: stage 3 chronic kidney disease is not a consequence of normal ageing. BMJ 2006; 333: 1072
9. Burch GE. The senile kidney. Am Heart J 1974; 88: 259
10. Luo H, Sawashita J, Tian G, et al. Extracellular deposition of mouse senile AApoAII amyloid fibrils induced different unfolded protein responses in the liver, kidney, and heart. Lab Invest 2014
11. Denisova TP, Malinova LI, Cherevatova OM. Ageing and polymorbidity (biophysical aspects). Saratov: Izdatel'stvo SSMU, 2006; 177 p.

AttachmentSize
2015_01_028-031.pdf527.24 KB

No votes yet