On standardization of controls in lifespan studies
Aging intervention research, involving model organisms like mice and flies, frequently lacks consistent standards and full experimental disclosure, leading to incomparable and incoherent longevity studies. The field could benefit from systematic re-analysis and improved quality control by ensuring consistency in lifespan data.
Q3 2023Reversal of Biological Age in Multiple Rat Organs by Young Porcine Plasma Fraction
Young porcine plasma treatment significantly reverses aging in rats at the epigenetic level, as shown by validated epigenetic clocks for various tissues. The treatment notably reduced the epigenetic ages of blood, heart, liver, and hypothalamus, improved organ function, and shifted IgG N-glycosylation patterns from pro- to anti-inflammatory, indicating a reversal of glycan aging.
Q3 2023A study of gene expression in the living human brain
Gene expression in postmortem human brain tissue differs significantly from that in living tissue, challenging assumptions used in medical research. This discrepancy, not explained by factors like age or medication, suggests postmortem studies may inaccurately represent brain gene expression in life, limiting their usefulness for understanding brain health and disease. Future research should consider these differences for more accurate insights.
Q3 2023Early-life stress triggers long-lasting organismal resilience and longevity via tetraspanin
Early-life thermal stress in C. elegans leads to lasting up-regulation of the tsp-1 gene, crucial for membrane functions and resilience. This effect, requiring the CBP-1 enzyme, results in enhanced longevity and thermal resilience, demonstrating how early stress has long-term impacts.
Q3 2023Systems Age: A single blood methylation test to quantify aging heterogeneity across 11 physiological systems
A novel epigenetic clock, using blood-based methylation data, assesses aging in 11 specific systems (Heart, Lung, Kidney, etc.), outperforming global measures in predicting system-specific outcomes. This approach identifies unique aging subtypes and may aid in personalized age-related healthcare.
Q3 2023