This pilot study evaluated a multi-modal longevity protocol combining lifestyle optimisation, nutritional supplementation, and autologous cell-free conditioned media derived from peripheral blood-derived pro-regenerative cells (APRC-CM). Fourteen healthy adult participants completed a 17-week programme including baseline and post-intervention biomarker assessments. The primary objective was to characterise changes in biological age using DNA methylation-based epigenetic clocks, PhenoAge and other physiological and biochemical markers.
This exploratory study investigated the biological effects of a structured, multi-modal longevity programme that included lifestyle optimisation (nutrition, exercise, sleep routines), nutritional supplementation, and autologous cell-free conditioned media (APRC-CM). APRC-CM was prepared individually for each participant from peripheral blood-derived pro-regenerative cells cultured ex vivo to produce a pro-regenerative secretome containing soluble factors and extracellular vesicles. Participants underwent biomarker assessments at baseline and at week 17. Outcomes included measurements of epigenetic biological age, phenotypic age, inflammatory markers, metabolic markers, and other laboratory and physiological variables. The study was conducted in healthy adults and designed as a minimal-risk physiological investigation.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
15
The intervention consisted of a structured, multi-modal longevity program that included lifestyle optimization (nutrition, physical activity, and sleep routines), nutritional supplementation, and autologous cell-free conditioned media (APRC-CM). APRC-CM was prepared individually for each participant from peripheral blood-derived pro-regenerative cells and administered as part of a physiologic, minimal-risk exploratory protocol.
Wellbeing International Foundation
London, United Kingdom
Change in Epigenetic Biological Age
Biological age calculated from DNA methylation profiles using validated epigenetic clock algorithms.
Time frame: Baseline and Week 17
Change in Phenotypic Age
Phenotypic age calculated from clinical biomarkers using published phenotypic age algorithms.
Time frame: Baseline and Week 17
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