The effects of vitamin C supplementation on protein oxidation in healthy volunteers

We have investigated vitamin C supplementation effects on immunoglobulin oxidation (carbonyls) and total plasma protein sulfhydryls in healthy human volunteers. After receiving placebo, plasma ascorbate and oxidation markers were unchanged. Following 5 weeks supplementation with vitamin C (400 mg/day), plasma ascorbate increased but no significant effect on protein oxidation was observed. At 10 and 15 weeks supplementation, carbonyl levels were significantly reduced (P < 0.01) in subjects with low baseline ascorbate (29.51 ± 5.3 μM) but not in those with normal baseline ascorbate (51.81 ± 2.3 μM). To eliminate any effect from seasonal variation in dietary antioxidant intake, a second phase was undertaken. Subjects on vitamin C for 15 weeks were randomly assigned to receive either placebo or vitamin C. No difference in plasma sulfhydryl content was observed. Subjects withdrawn from supplementation showed an increase in immunoglobulin carbonyl content (P < 0.01). This demonstrates that dietary vitamin C supplementation can reduce certain types of oxidative protein damage in subjects with low basal antioxidant. (C) 2000 Academic Press.

Seasonal variations of EPG levels in gastro-intestinal parasitic infection in a southeast asian controlled locale:a statistical analysis

We present a data based statistical study on the effects of seasonal variations in the growth rates of the gastro-intestinal (GI) parasitic infection in livestock. The alluded growth rate is estimated through the variation in the number of eggs per gram (EPG) of faeces in animals. In accordance with earlier studies, our analysis too shows that rainfall is the dominant variable in determining EPG infection rates compared to other macro-parameters like temperature and humidity. Our statistical analysis clearly indicates an oscillatory dependence of EPG levels on rainfall fluctuations. Monsoon recorded the highest infection with a comparative increase of at least 2.5 times compared to the next most infected period (summer). A least square fit of the EPG versus rainfall data indicates an approach towards a super diffusive (i. e. root mean square displacement growing faster than the square root of the elapsed time as obtained for simple diffusion) infection growth pattern regime for low rainfall regimes (technically defined as zeroth level dependence) that gets remarkably augmented for large rainfall zones. Our analysis further indicates that for low fluctuations in temperature (true on the bulk data), EPG level saturates beyond a critical value of the rainfall, a threshold that is expected to indicate the onset of the nonlinear regime. The probability density functions (PDFs) of the EPG data show oscillatory behavior in the large rainfall regime (greater than 500 mm), the frequency of oscillation, once again, being determined by the ambient wetness (rainfall, and humidity). Data recorded over three pilot projects spanning three measures of rainfall and humidity bear testimony to the universality of this statistical argument. © 2013 Chattopadhyay and Bandyopadhyay.