Biomarkers
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Sinclair's Top 5 Biomarkers For Longevity
| Biomarker | Relevance to Longevity |
|---|---|
| Glucose Level HbA1c | Glycated hemoglobin (HbA1c) levels reflect average blood glucose concentrations over the previous three months. Higher levels are associated with an increased risk of age-related diseases such as diabetes and cardiovascular disease. |
| Inflammatory markers, especially cardiovascular like CRP should be low | Chronic inflammation is linked to many diseases of aging. C-reactive protein (CRP) is a marker of inflammation, and high levels may predict cardiovascular events and mortality. |
| Cholesterol markers including Lipoprotein(a) | Cholesterol levels, particularly low-density lipoprotein (LDL) and lipoprotein(a), are predictors of cardiovascular health. Elevated levels are associated with an increased risk of atherosclerosis and heart disease. |
| Hormone levels (testosterone) | Hormones like testosterone can influence muscle mass, bone density, and overall metabolic health. Low levels in men have been associated with increased morbidity and mortality. |
| Albumin | Albumin levels can indicate nutritional status and organ function. Low albumin may be a marker for poor health outcomes and increased risk of death. |
Todo
- 2023, Correction to: Blood biomarker profiles and exceptional longevity: comparison of centenarians and non‑centenarians in a 35‑year follow‑up of the Swedish AMORIS cohort [1]
- 2021, Ranking Biomarkers of Aging by Citation Profiling and Effort Scoring [2]
References
- ↑ Murata S et al.: Correction to: Blood biomarker profiles and exceptional longevity: comparison of centenarians and non‑centenarians in a 35‑year follow‑up of the Swedish AMORIS cohort. Geroscience 2023. (PMID 37923875) [PubMed] [DOI]
- ↑ Hartmann A et al.: Ranking Biomarkers of Aging by Citation Profiling and Effort Scoring. Front Genet 2021. (PMID 34093670) [PubMed] [DOI] [Full text] Aging affects most living organisms and includes the processes that reduce health and survival. The chronological and the biological age of individuals can differ remarkably, and there is a lack of reliable biomarkers to monitor the consequences of aging. In this review we give an overview of commonly mentioned and frequently used potential aging-related biomarkers. We were interested in biomarkers of aging in general and in biomarkers related to cellular senescence in particular. To answer the question whether a biological feature is relevant as a potential biomarker of aging or senescence in the scientific community we used the PICO strategy known from evidence-based medicine. We introduced two scoring systems, aimed at reflecting biomarker relevance and measurement effort, which can be used to support study designs in both clinical and research settings.