The purpose of this study was to investigate whether oxidative stress and biological antioxidant potency were associated with plasma biochemical markers and lifestyle in 42 healthy people (10 men and 32 women) . The level of reactive oxygen metabolites species (ROMs) and biological antioxidant potency (BAP) was measured using a portable apparatus (Free Radical Analytical System 4: FRAS4), as markers of oxidative stress and antioxidation, respectively.
The characteristics of the subjects and their lifestyle were assessed by a questionnaire, and blood samples were collected from their fingertips. Mean value of d-ROMs in women was significantly higher than in men. The BAP in drinkers was significantly lower than that in non-drinkers. The BAP was negatively correlated with fasting plasma glucose in women (r=-0.365, p<0.05), and with y -GTP in men (r=-0.675, p<0.05), however, no significant correlation was observed in d-ROMs. In conclusion, these results suggest a possibility that the BAP evaluated by FRAS4 could reflect the metabolic disorder in an early stage. The future research is required to examine this possibility and sex difference of d-ROMs in sufficient sample.

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Intraindividual physiological variations in metabolic syndrome biomarkers, including abdominal circumference, BMI, fasting blood glucose, HbA_1c, HOMA-R, adiponectin, triglyceride, HDL cholesterol, and blood pressure, were measured in 2, 857 males and 1, 317 females who underwent a medical examination every year in the past five years. Categorical analyses were also made by age, drinking and smoking habits, and four levels of metabolic syndrome risks. As a result, the intraindividual physiological variation (SDi) was smaller than the interindividual physiological variation (SDg), and it was suggested that intraindividual variability can possibly be used as criteria for response evaluation after health guidance. The SDi in the abdominal circumference in females was larger than that in males and differed significantly from the SDi in BMI. These gaps were considered to be possibly related to measurement errors. In the categorical analysis by age, variable factors and thereby the intraindividual variation increased with age. In the categorical analysis by metabolic syndrome risks in males aged between 40 and 49, significant differences in adiponectin and HOMA-R were observed between males with no risk of metabolic syndromes and those with a risk. Therefore, for evaluation of response after health guidance, it was considered practical to use the SDi of biomarkers such as HOMA-R at the metabolic syndrome risk level applicable to the patient. Furthermore, it is expected that the significance of intraindividual variability will be enhanced further by establishing criteria in consideration of gender and age specificity.

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