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Cancer Prev Res (Phila) ; 10(12): 729-737, 2017 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-29133307

RESUMEN

This clinical trial developed a personalized dosing model for reducing prostaglandin E2 (PGE2) in colonic mucosa using ω-3 fatty acid supplementation. The model utilized serum eicosapentaenoic acid (EPA, ω-3):arachidonic acid (AA, ω-6) ratios as biomarkers of colonic mucosal PGE2 concentration. Normal human volunteers were given low and high ω-3 fatty acid test doses for 2 weeks. This established a slope and intercept of the line for dose versus serum EPA:AA ratio in each individual. The slope and intercept was utilized to calculate a personalized target dose that was given for 12 weeks. This target dose was calculated on the basis of a model, initially derived from lean rodents, showing a log-linear relationship between serum EPA:AA ratios and colonic mucosal PGE2 reduction. Bayesian methods allowed addition of human data to the rodent model as the trial progressed. The dosing model aimed to achieve a serum EPA:AA ratio that is associated with a 50% reduction in colonic PGE2 Mean colonic mucosal PGE2 concentrations were 6.55 ng/mg protein (SD, 5.78) before any supplementation and 3.59 ng/mg protein (SD, 3.29) after 12 weeks of target dosing. In secondary analyses, the decreases in PGE2 were significantly attenuated in overweight and obese participants. This occurred despite a higher target dose for the obese versus normal weight participants, as generated by the pharmacodynamic predictive model. Large decreases also were observed in 12-hydroxyicosatetraenoic acids, and PGE3 increased substantially. Future biomarker-driven dosing models for cancer prevention therefore should consider energy balance as well as overall eicosanoid homeostasis in normal tissue. Cancer Prev Res; 10(12); 729-37. ©2017 AACR.


Asunto(s)
Antiinflamatorios/administración & dosificación , Dinoprostona/metabolismo , Ácidos Grasos Omega-3/administración & dosificación , Mucosa Intestinal/metabolismo , Obesidad/metabolismo , Adulto , Anciano , Antiinflamatorios/farmacología , Ácido Araquidónico/sangre , Teorema de Bayes , Biomarcadores/metabolismo , Índice de Masa Corporal , Peso Corporal , Proliferación Celular , Ácido Eicosapentaenoico/sangre , Ácidos Grasos Omega-3/farmacología , Ácidos Grasos Omega-6/metabolismo , Femenino , Aceites de Pescado , Voluntarios Sanos , Homeostasis , Humanos , Masculino , Persona de Mediana Edad , Modelos Teóricos
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