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.