15 research outputs found

    Baseline predictors for vitamin E responders.

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    <p>Simple logistic regression models were fitted here due to small sample size, significance level is set at α<0.05.</p

    The circulating levels of α-tocopherol, γ-tocopherol and γ-carboxyethylhydroxychroman (CEHC) a metabolite of vitamin E are shown at baseline (panel A) and at end of treatment (panel B) for subjects receiving vitamin E who either met histologic criteria for a response (responders) or met the criteria for non-response.

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    <p>CEHC was significantly lower at baseline in vitamin E treatment responders. The levels of α-, and γ-tocopherols were similar in the two groups at baseline. There was a similar enrichment of α-tocopherol in both responders and non-responders. Conversely, there was a relative de-enrichment of γ-tocopherol in both groups. These data indicate that the histologic response to vitamin E was not a simple response of the amount of vitamin E enrichment of plasma.</p

    End of treatment vitamin E and placebo response biomarkers.

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    <p>ANCOVA models adjusting for baseline metabolites level with Tukey Method for multiple comparison.</p

    Baseline and end of treatment levels of TNF- α in vitamin E responders and non-responders are shown.

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    <p>The baseline values in both groups are comparable. At the end of treatment, the levels significantly decreased in vitamin E responders (p = 0.002).</p

    Baseline and end of treatment levels of gamma glutamyl transpeptidase in vitamin E responders and non-responders are shown.

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    <p>The baseline values in both groups are comparable. At the end of treatment, the levels decreased in both groups but the degree of decrease was greater in vitamin E responders. This however was only a trend and not statistically significant.</p

    Additional file 1: of Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality

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    Table S1. Epigenome-wide significant CpG sites associated with tobacco smoking in a discovery sample. Table S2. Epigenome-wide significant CpG sites associated with tobacco smoking in a replication sample. Table S3. Machine learning selected 698 CpGs for the prediction of HIV frailty. (XLSX 77 kb
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