The concentration of calcium (Ca), cobalt (Co), copper (Cu), iron (Fe), magnesium (Mg), manganese (Mn) and selenium (Se) in plasma of 76 nonagenarians (mean age, 89.0±6.3 years), 64 centenarians (mean age, 101±1 years) and 24 middle-aged subjects as controls (mean age 61.2±1.1 years), was determined by sector field inductively coupled plasma mass spectrometry. All the subjects lived in Sardinia, an Italian island, that has the higher prevalence of centenarians than in other European countries. A comparison among the three classes of age showed a significant depletion of Ca, Co, Fe, Mn and Se (all p<0.001) in nonagenarians and centenarians with respect to controls. In particular, the geometric mean (GM) values of Ca, Co, Fe, Mn and Se were: 94.1 μg/ml, 0.46 ng/ml, 1314 ng/ml, 2.47 ng/ml and 111 ng/ml in controls; 87.6 μg/ml, 0.22 ng/ml, 815 ng/ml, 1.07 ng/ml and 88.9 ng/ml in nonagenarians; 87.0 μg/ml, 0.29 ng/ml, 713 ng/ml, 1.27 ng/ml and 81.9 ng/ml in centenarians. The highest inverse relationship with age was observed for Fe (p<0.001; ρ=-0.352) and Se (p<0.001; ρ=-0.417). This trend was also observed when data were sorted by gender. On the other hand, Cu and Mg levels in plasma remained substantially unchanged during aging. As regards Cu, it was significantly higher in females than in males in controls (GM, 1294 ng/ml vs. 1077 ng/ml; p=0.012), in nonagenarians (GM, 1216 ng/ml vs. 1081 ng/ml; p=0.011) as well as in centenarians (GM, 1226 ng/ml vs. 1152 ng/ml; p=0.045) and in hypertensive subjects with respect to healthy people (GM, 1215 ng/ml vs. 1129 ng/ml; p=0.021). These data can be used to enhance knowledge and support the research on: i) metals involved in aging in areas with high rates of human longevity; ii) variables (gender, lifestyle habits and health status) as critical determinants in aging; and iii) mineral intake and supplementation at older age affecting the healthy aging.
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http://dx.doi.org/10.1016/j.exger.2014.10.016 | DOI Listing |
Plasma biomarkers represent promising tools for the screening and diagnosis of patients with neurodegenerative conditions. However, it is crucial to account for the effects of aging on biomarker profiles, especially in the oldest segments of the population. Additionally, biomarkers in this sample can offer in vivo insights into the physiological mechanisms underlying brain aging while concomitantly supporting cognitive preservation.
View Article and Find Full Text PDFFront Aging Neurosci
July 2023
Laboratory Animal Department, Kunming Medical University, Kunming, China.
Background: With the increase of age, multiple physiological functions of people begin gradually degenerating. Regardless of natural aging or pathological aging, the decline in cognitive function is one of the most obvious features in the process of brain aging. Brain aging is a key factor for several neuropsychiatric disorders and for most neurodegenerative diseases characterized by onset typically occurring late in life and with worsening of symptoms over time.
View Article and Find Full Text PDFAn inadequate selenium (Se) status can accelerate the aging process, increasing the vulnerability to age-related diseases. The study aimed to investigate plasma Se and Se species in a large population, including 2200 older adults from the general population (RASIG), 514 nonagenarian offspring (GO), and 293 GO Spouses (SGO). Plasma Se levels in women exhibit an inverted U-shaped pattern, increasing with age until the post-menopausal period and then declining.
View Article and Find Full Text PDFNat Aging
May 2022
Institute of Intestinal Diseases, Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
A better understanding of the biological and environmental variables that contribute to exceptional longevity has the potential to inform the treatment of geriatric diseases and help achieve healthy aging. Here, we compared the gut microbiome and blood metabolome of extremely long-lived individuals (94-105 years old) to that of their children (50-79 years old) in 116 Han Chinese families. We found extensive metagenomic and metabolomic remodeling in advanced age and observed a generational divergence in the correlations with socioeconomic factors.
View Article and Find Full Text PDFBiochim Biophys Acta Gen Subj
April 2023
Research Team for Mechanism of Aging, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo 173-0015, Japan. Electronic address:
Background: Identifying a biomarker for the decline in cognitive function in patients with diabetes is important. Therefore, we aimed to identify the N-glycopeptides on plasma proteins associated with diabetic cognitive impairment in participants in a longitudinal study using N-glycoproteomics.
Methods: We used samples from the 3-year SONIC (Septuagenarians, Octogenarians, Nonagenarians Investigation with Centenarians) longitudinal cohort study of older Japanese people in the general population.
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