کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8284944 | 1535612 | 2014 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Inflamm-aging does not simply reflect increases in pro-inflammatory markers
ترجمه فارسی عنوان
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کلمات کلیدی
Soluble glycoprotein 130sTNF-RMCPsgp130hsCRPMIPTGFAICIFN-γPCA - PCAinflammation - التهاب( توروم) interferon-γ - اینترفرون-γinterleukin - اینترلوکینChronic disease - بیماری مزمنBiomarker - بیومارکرtransforming growth factor - تبدیل فاکتور رشدPrinciple component analysis - تجزیه و تحلیل اجزای اصلtumor necrosis factor-alpha - تومور نکروز عامل آلفاAging - سالخوردگیTNF-α - فاکتور نکروز توموری آلفاTRAIL - قطارTNF-related apoptosis-inducing ligand - لیگاند ناشی از آپوپتوز مرتبط با TNFAkaike information criterion - معیار اطلاعاتی آکائیکhazard ratio - نسبت خطرodds ratio - نسبت شانس هاmonocyte chemoattractant protein-1 - پروتئین شیمیایی monocyte chemoattractant-1high sensitivity C-reactive protein - پروتئین واکنش پذیر C با حساسیت بالاMultivariate - چند متغیرهsoluble TNF receptor - گیرنده TNF قابل حل است
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
سالمندی
چکیده انگلیسی
Many biodemographic studies use biomarkers of inflammation to understand or predict chronic disease and aging. Inflamm-aging, i.e. chronic low-grade inflammation during aging, is commonly characterized by pro-inflammatory biomarkers. However, most studies use just one marker at a time, sometimes leading to conflicting results due to complex interactions among the markers. A multidimensional approach allows a more robust interpretation of the various relationships between the markers. We applied principal component analysis (PCA) to 19 inflammatory biomarkers from the InCHIANTI study. We identified a clear, stable structure among the markers, with the first axis explaining inflammatory activation (both pro- and anti-inflammatory markers loaded strongly and positively) and the second axis innate immune response. The first but not the second axis was strongly correlated with age (r = 0.56, p < 0.0001, r = 0.08 p = 0.053), and both were strongly predictive of mortality (hazard ratios per PCA unit (95% CI): 1.33 (1.16-1.53) and 0.87 (0.76-0.98) respectively) and multiple chronic diseases, but in opposite directions. Both axes were more predictive than any individual markers for baseline chronic diseases and mortality. These results show that PCA can uncover a novel biological structure in the relationships among inflammatory markers, and that key axes of this structure play important roles in chronic disease.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanisms of Ageing and Development - Volume 139, July 2014, Pages 49-57
Journal: Mechanisms of Ageing and Development - Volume 139, July 2014, Pages 49-57
نویسندگان
Vincent Morrisette-Thomas, Alan A. Cohen, Tamà s Fülöp, Ãléonor Riesco, Véronique Legault, Qing Li, Emmanuel Milot, Françis Dusseault-Bélanger, Luigi Ferrucci,