Personalized Supplementation Is Associated with Reduced Inflammatory Biomarkers: A 12-Week Observational Study

Chronic low-grade inflammation is a central contributor to the development of cardiovascular disease, metabolic dysfunction, autoimmune disorders, and cognitive decline. Blood-based biomarkers, such as C-reactive protein (CRP), ferritin, homocysteine, white blood cell (WBC) count, and anti-thyroid peroxidase (anti-TPO) antibodies enable quantification and monitoring of systemic inflammation over time. We aimed to evaluate the impact of a 12-week personalized, biomarker-guided supplementation program including micronutrients, hormone support, and peptides on inflammatory and immune-related biomarkers across age- and sex-stratified adult cohorts. Participants (n = 48; 8 per group) were stratified by sex and age (40-49, 50-59, 60-69 years) and underwent blood testing at baseline and 12 weeks. Personalized protocols were developed based on individual biomarker profiles and included targeted interventions with vitamin D, omega-3 fatty acids, B vitamins, zinc, selenium, hormone optimization, and other supportive agents. Primary outcomes were percent changes in CRP, ferritin, homocysteine, WBC count, and anti-TPO antibody levels. CRP levels decreased by 33-46% across all groups, with similarly consistent declines in homocysteine (29-37%) and WBC count (22-28%). Ferritin reductions were most notable in men, particularly in older age groups (up to 48%), while anti-TPO antibody levels declined more prominently in women (up to 22%). These changes are consistent with reduced systemic inflammation, improved methylation status, and potential modulation of autoimmune activity. This biomarker-guided, personalized supplementation protocol was associated with clinically meaningful reductions in key markers of inflammation and immune dysregulation. These findings are suggestive of potential efficacy for precision-based health optimization programs and highlight the need for larger randomized controlled trials (RCTs) to confirm causal effects.