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Jan. 2--Ending weeks of speculation by political insiders, Tarrant County District Clerk Tom Wilder decided over the weekend to seek a fourth term instead of running for the Tarrant County Commissioners Court. Insiders frequently mentioned Wilder as a possible candidate for Tarrant County judge after Tom Vandergriff announced that he will retire at the end of this term. Wilder, 62, also considered running for the Commissioners Court after Glen Whitley stepped down to run for county judge. But in what he described as one of the most difficult decisions he's ever faced and after visiting with staff members and members of the legal community, Wilder said he will again run for the office he's held for the last 11 years. \"It was a tough decision. There were a lot of people who wanted me to run for another county office and serve on the court,\" Wilder said. \"Bottom line, there were other people to be considered in this. I'm going to ask the voters to entrust me with another four-year term.\" Wilder has drawn an opponent in the Republican primary: Pete Hinojosa, a top deputy. Without mentioning Hinojosa by name, Wilder said he does not want to leave \"this office in the hands of someone where it would take a step backward.\" \"Tarrant County's got an excellent reputation in the state, and this keeps this strong, experienced team in place,\" Wilder said. The filing period ends at 6 p.m. today statewide for the March 7 primaries, and jockeying over some key positions could continue down to the wire. \"Politics is always about opportunity,\" said Jim Riddlesperger, a political-science professor at Texas Christian University.

Background and Objective: Nutrimetabolomics may reveal novel insights into early metabolic alterations and the role of dietary exposures on prostate cancer (PCa) risk. We aimed to prospectively investigate the associations between plasma metabolite concentrations and PCa risk, including clinically relevant tumor subtypes. Methods: We used a targeted and large-scale metabolomics approach to analyze plasma samples of 851 matched PCa case-control pairs from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Associations between metabolite concentrations and PCa risk were estimated by multivariate conditional logistic regression analysis. False discovery rate (FDR) was used to control for multiple testing correction. Results: Thirty-one metabolites (predominately derivatives of food intake and microbial metabolism) were associated with overall PCa risk and its clinical subtypes (p < 0.05), but none of the associations exceeded the FDR threshold. The strongest positive and negative associations were for dimethylglycine (OR = 2.13; 95% CI 1.16-3.91) with advanced PCa risk (n = 157) and indole-3-lactic acid (OR = 0.28; 95% CI 0.09-0.87) with fatal PCa risk (n = 57), respectively; however, these associations did not survive correction for multiple testing. Conclusions: The results from the current nutrimetabolomics study suggest that apart from early metabolic deregulations, some biomarkers of food intake might be related to PCa risk, especially advanced and fatal PCa. Further independent and larger studies are needed to validate our results.