Scholarlink

<p>Multi-marker approaches are well suited for untangling the intrinsic complexity of aging and related conditions. Herein, we quantified (1) baseline concentrations of a panel of geroscience biomarkers pertaining to four biological domains (i.e., metabolism, inflammation, vascular/organ dysfunction and cellular senescence, and neurodegeneration) in individuals aged ≥60 years; (2) investigated linear and non-linear changes in biomarker levels over a 6-year period according to age and sex; and (3) described the relationships among geroscience biomarkers at baseline and follow-up. We found that repeated measures of age-dependent changes of 47 blood-borne biomarkers over 6 years had differential associations depending on the biological domains. The most relevant biomolecules in the associations between age and repeated assessments were (1) adiponectin, C-peptide, renin (metabolism), (2) CXCL10, IL-1α, IL-1β, IL-6, IL-10, IL-12p70, MPO (inflammation), (3) cystatin C, MMP7, MMP12, VCAM-1 (vascular/organ dysfunction and cellular senescence), and (4) S100B and Tau protein (neurodegeneration). Among these molecules, a negative association with increasing age was found for IL-1α, IL-1β, IL-12p70, S100B, and Tau protein. Non-linear relationships were also identified with age for IGFBP-1, leptin, β2M, TNFRSF1B, fibrinogen, GDF-15, N-cadherin, and BDNF. Our results indicate that inflammatory and metabolic biomolecules are strongly associated with aging over 6 years of follow-up. Whether the biological pathways reflected by these biomarkers contribute to the aging process or are associated with negative health-related events needs to be explored through comprehensive multi-omics longitudinal analysis in larger cohorts.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Longitudinal changes in blood-borne geroscience biomarkers: results from a population-based study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月24日

查看全文
  • Anna Picca,
  • Ngoc Viet Nguyen,
  • Riccardo Calvani,
  • Matilda Dale,
  • Claudia Fredolini,
  • Emanuele Marzetti,
  • Amaia Calderón-Larrañaga,
  • Davide Liborio Vetrano

摘要

Multi-marker approaches are well suited for untangling the intrinsic complexity of aging and related conditions. Herein, we quantified (1) baseline concentrations of a panel of geroscience biomarkers pertaining to four biological domains (i.e., metabolism, inflammation, vascular/organ dysfunction and cellular senescence, and neurodegeneration) in individuals aged ≥60 years; (2) investigated linear and non-linear changes in biomarker levels over a 6-year period according to age and sex; and (3) described the relationships among geroscience biomarkers at baseline and follow-up. We found that repeated measures of age-dependent changes of 47 blood-borne biomarkers over 6 years had differential associations depending on the biological domains. The most relevant biomolecules in the associations between age and repeated assessments were (1) adiponectin, C-peptide, renin (metabolism), (2) CXCL10, IL-1α, IL-1β, IL-6, IL-10, IL-12p70, MPO (inflammation), (3) cystatin C, MMP7, MMP12, VCAM-1 (vascular/organ dysfunction and cellular senescence), and (4) S100B and Tau protein (neurodegeneration). Among these molecules, a negative association with increasing age was found for IL-1α, IL-1β, IL-12p70, S100B, and Tau protein. Non-linear relationships were also identified with age for IGFBP-1, leptin, β2M, TNFRSF1B, fibrinogen, GDF-15, N-cadherin, and BDNF. Our results indicate that inflammatory and metabolic biomolecules are strongly associated with aging over 6 years of follow-up. Whether the biological pathways reflected by these biomarkers contribute to the aging process or are associated with negative health-related events needs to be explored through comprehensive multi-omics longitudinal analysis in larger cohorts.