Reconnaissance survey of Galveston Bay sediments for selective nonresidual trace metals

The nonresidual concentrations of five trace metals were determined for 322 sediments that were the product of a systematic sampling program of the entire Galveston Bay system. The nonresidual component of the trace metal concentration (e.g. that fraction of the metals that can be relatively easily removed from the sediments without complete destruction of the sediment particle) was considered to be more indicative of the anthropogenic metal pollution that has impacted the Galveston Bay ecosystem.^ For spatial analysis of the metal concentrations, the Galveston Bay system was divided into nine bay-areas, based on easily definable geological and geographical characteristics. Isopleth mapping analyses of these metal concentrations indicated a direct relationship with the $<$63$\mu$m fraction of the sediment (%FINE) in all of the bay areas. Covariate regression analyses indicated that position of the sediment within the Galveston Bay system (e.g. bay-area) was a better predictor of metal concentration than %FINE. Analysis of variance of the metals versus the bay-areas indicated that the five metals maintained a relatively constant order and magnitude of concentration for all the bay-areas.^ The major shipping channels of the Galveston Bay system, with their associated vessels and transported materials, are a likely source of metal pollution. However, these channels were not depositional corridors of high metal concentration. All metal concentration highs were found to be located away from the channels and associated with %FINE highs in the deeper portions of the bay-areas.^ Disturbance of the sediments, by the proposed widening and deepening of these channels, is not predicted to remobilize the trace metals. A more likely adverse effect on the health of the Galveston Bay ecosystem would come from the increase in turbidity of the water due to the dredging and in an extension of the salt water wedge farther north into the bay system. ^

GENETIC PREDICTORS OF HYPERGLYCEMIA DUE TO HYDROCHLOROTHIAZIDE THERAPY

Response to pharmacological treatment is variable among individuals. Some patients respond favorably to a drug while others develop adverse reactions. Early investigations showed evidence of variation in genes that code for drug receptors, drug transporters, and drug metabolizing enzymes; and pharmacogenetics appeared as the science that studies the relationship between drug response and genetic variation. Thiazide diuretics are the recommended first-line monotherapy for hypertension (i.e. SBP>140 or DBP>90). Even so, diuretics are associated with adverse metabolic side effects, such as hyperglycemia, which increase the risk of developing type 2 diabetes. Published approaches testing variation in candidate genes (e.g. the renin-angiotensin-aldosteron system (RAAS) and salt–sensitivity genes) have met with only limited success. We conducted the first genome wide association study to identify genes influencing hyperglycemia as an adverse effect of thiazide diuretics in non-Hispanic White hypertensive patients participating in the Genetic Epidemiology of Responses to Antihypertensives (GERA) and Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) clinical trials. No SNP reached the a priori defined threshold of statistical significance (p<5x10-8). We detected 50 SNPs in 9 genomic regions with suggestive p-values (p<1x10-5). Two of them, rs6870564 (p-value=3.28 X 10-6) and rs7702121 (p-value=5.09 X 10-6), were located close to biologic candidate genes, MYO and MGAT1, and one SNP in a genomic region in chromosome 6, rs7762018 (p-value=4.59 X 10-6) has been previously related to Insulin-Dependent Diabetes Mellitus (IDDM8). I conclude that 1) there are unlikely to be common SNPs with large effects on the adverse metabolic effects to hydrochlorothiazide treatment and 2) larger sample sizes are needed for pharmacogenetic studies of inter-individual variation in response to commonly prescribed medication.

Is there an association between choline/betaine dietary intake and lung cancer?

Choline and betaine are important methyl donors that contribute to protein and phospholipid synthesis and DNA methylation. They can either be obtained through diet or synthesized de novo. Evidence from human and animal research indicates that choline metabolic pathways may be activated during a variety of diseases, including cancer. Studies have been conducted to investigate the role of dietary intake of choline and betaine on cancers, but results vary among studies by cancer types, and no such study had been conducted for lung cancer. We conducted a case-control study to explore the association between choline and betaine dietary intake and lung cancer. A total of 2807 cases and 2919 controls were included in the study. After adjusting for total calorie intake, age, sex, race and smoking status, multivariable logistic regression analysis revealed a significant negative association between choline/betaine intake and lung cancer. Specifically, we observed that higher choline intake was associated with reduced lung cancer odds, and the association did not differ significantly by smoking status. A similar negative trend was observed in the association between betaine intake and lung cancer after adjusting for total calorie intake, age, sex, smoking status, race, and pack-years of smoking. However, this association was strongly affected by smoking. No significant association was observed with increased betaine intake and lung cancer among never smokers, but higher betaine intake was strongly associated with reduced lung cancer odds among smokers, and lower odds ratios were observed among current smokers than among former smokers. Our results suggest that high intake of choline may be protective for lung cancer independent of smoking status, while high betaine intake may mitigate the adverse effect of smoking on lung cancer, and help prevent lung cancer among smokers.^

Indigent care and infant mortality in Texas

Infant Mortality has been made a point of emphasis by the Department of Health and Human Services in the Healthy People 2000, 2010, and 2020 priorities. This study used the Behavioral Model for Vulnerable Populations to consider a number of factors which impact infant mortality in the indigent populations in the State of Texas. The primary focus of this study was the enabling factor of community resources, specifically the program used by each county to provide care to their indigent population. The Legislature of the State of Texas requires that each state have a program set up within a Hospital District, Public Hospital or develop a County Indigent Health Care Program (CIHCP) in order to provide the basic health care needs of their most vulnerable residents. We sought to determine whether the development of a CICHP without an appointed hospital to provide the care would have an adverse effect on residents seeking care and increase infant mortality. A Poisson Regression Analysis was used to analyze incidence rate ratios adjusting for race/ethnicity and wealth/poverty variables. Our study showed that counties using a CIHCP had significantly lower infant mortality rates when compared to counties using a hospital district and were statistically equivalent to counties using a public hospital program or a combination of service programs. This relationship was maintained when adjusted incidence rate ratios were calculated. This may give evidence that counties struggling to fund a public hospital or hospital district may be able to find a more cost-effective alternative in the CIHCP without adversely affecting the health status of their residents. More cost-benefit analysis and controlling analysis must be done to further characterize this relationship. ^