کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8264164 1534884 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Cross-population validation of statistical distance as a measure of physiological dysregulation during aging
ترجمه فارسی عنوان
اعتبار سنجی مجدد جمعیت از راه دور آماری به عنوان یک اندازه گیری از نظارت فیزیولوژیک در طول سالانگی
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی سالمندی
چکیده انگلیسی
Measuring physiological dysregulation during aging could be a key tool both to understand underlying aging mechanisms and to predict clinical outcomes in patients. However, most existing indices are either circular or hard to interpret biologically. Recently, we showed that statistical distance of 14 common blood biomarkers (a measure of how strange an individual's biomarker profile is) was associated with age and mortality in the WHAS II data set, validating its use as a measure of physiological dysregulation. Here, we extend the analyses to other data sets (WHAS I and InCHIANTI) to assess the stability of the measure across populations. We found that the statistical criteria used to determine the original 14 biomarkers produced diverging results across populations; in other words, had we started with a different data set, we would have chosen a different set of markers. Nonetheless, the same 14 markers (or the subset of 12 available for InCHIANTI) produced highly similar predictions of age and mortality. We include analyses of all combinatorial subsets of the markers and show that results do not depend much on biomarker choice or data set, but that more markers produce a stronger signal. We conclude that statistical distance as a measure of physiological dysregulation is stable across populations in Europe and North America.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Experimental Gerontology - Volume 57, September 2014, Pages 203-210
نویسندگان
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