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Tumor cells are known to undergo considerable metabolic reprogramming to meet their unique demands and drive tumor growth. At the same time, this reprogramming may come at a cost with resultant metabolic vulnerabilities. The small molecule l-2-hydroxyglutarate (L-2HG) is elevated in the most common histology of renal cancer. Similarly to other oncometabolites, L-2HG has the potential to profoundly impact gene expression. Here, we demonstrate that L-2HG remodels amino acid metabolism in renal cancer cells through combined effects on histone methylation and RNA [N.sup.6]- methyladenosine. The combined effects of L-2HG result in a metabolic liability that renders tumors cells reliant on exogenous serine to support proliferation, redox homeostasis, and tumor growth. In concert with these data, high-L-2HG kidney cancers demonstrate reduced expression of multiple serine biosynthetic enzymes. Collectively, our data indicate that high-L-2HG renal tumors could be specifically targeted by strategies that limit serine availability to tumors., Introduction Oncometabolites are small molecules that aberrantly accumulate within tumor cells. These small molecules can have either tumor-promoting or -suppressive effects, indicating that their impact on tumor biology is highly [...]

Objective: The goal of this study was to evaluate whether differences in gestational weight gain (GWG) and adverse perinatal outcomes exist for Black and White women who are overweight or have obesity (OW/OB) at entry to prenatal care. Methods: We enrolled 183 pregnant women with BMI 25-45 kg/m.sup.2 (71% black, 29% white) prior to 14 weeks gestation. Data were collected on demographic, medical history, diet and physical activity during pregnancy. Relationships between race and maternal outcomes and infant outcomes were assessed using multivariable logistic regression models. Results: The average age of pregnant women were 26 years (±4.8), with a mean BMI of 32.1 (±5.1) kg/m2 at the time of enrollment. At delivery, 60 women (33%) had GWG within Institute of Medicine recommendations and 69% had at least one comorbidity. No significant differences by race were found in GWG (in lbs) (11±7.5 vs. 11.4±7.3, p=0.2006) as well as other perinatal outcomes including maternal morbidity, LBW and PTB. Race differences were noted for gestational diabetes, total energy expenditure and average daily calorie intake, but these differences did not result in significant differences in GWG or maternal morbidity. Conclusion: The lack of racial differences in GWG and perinatal outcomes demonstrated in this study differs from prior literature and could potentially be attributed to small sample size. Findings suggest that race differences in GWG and perinatal outcomes may diminish for women with a BMI in the overweight or obese range at conception., Author(s): Paula Chandler-Laney [sup.1] , Joseph R. Biggio [sup.2] , Meghan Tipre [sup.3] , Tiffany L. Carson [sup.4] , Sejong Bae [sup.3] , Alysha B Everett [sup.1] , Monica L. [...]

OBJECTIVE: This analysis examined whether specific social, physical, and financial factors were associated with diet quality among older, community-dwelling women. METHODS: This cross-sectional analysis was conducted in a subset of 6,094 community-dwelling Womens Health Initiative participants who completed a food frequency questionnaire, administered from 2012 to 2013, and a self-administered supplemental questionnaire, administered approximately 1 year later. The supplemental questionnaire included five questions assessing social, physical, and financial factors related to eating. Diet quality was assessed with the Healthy Eating Index-2010 (HEI-2010; range of 0-100; higher score indicates a higher quality diet). The total HEI-2010 score was calculated by summing individual scores representing the intake of nine adequacy components (beneficial food groups) and three moderation components (food groups to limit). Associations of responses to the five questions on the supplemental questionnaire with HEI-2010 scores were examined with multiple linear regression, adjusting for relevant covariates. RESULTS: Mean ± standard deviation age of participants was 78.8 ± 6.7 years. Reporting eating fewer than two meals per day, having dental or other mouth problems causing problems with eating, and not always being able to shop, cook, or feed oneself were associated with statistically significantly lower HEI-2010 scores, compared with those not reporting these issues, after multivariable adjustment: 5.37, 2.98, and 2.39 lower scores, respectively (all P values

Introduction: Adoption of telemedicine by healthcare facilities has dramatically increased since the start of coronavirus pandemic; yet, major differences exist in universal acceptance of telemedicine across different population groups. The goal of this study was to examine population-based factors associated with current and/or future use of telemedicine in Alabama. Methods: A cross-sectional survey was administered to 532 participants online or by phone, in four urban and eight rural counties in Alabama. Data were collected on: demographics, health insurance coverage, medical history, access to technology, and its use in accessing healthcare services. Generalized logit regression models were used to estimate the odds of choosing "virtual visit" and "phone communication" compared to "in-person visit" for the preferred choice of visit with the healthcare provider; as well as odds for willingness to participate in "virtual visit" in the future. Results: Our study sample had a mean age of 43 (±15) years, 72.9% women, 45.9% Black or African American; 59.4% population living in an urban county. The odds of "phone communication" were higher compared to the odds of "in-person visit", with a unit increase in age (odds ratio: 1.02, 95% confidence interval: 1.00–1.03), after adjusting for other covariates. Among participants with past experience of virtual communications, the odds for choosing "virtual visit" were significantly higher compared to choice of in-person visit (odds ratio for virtual visit: 3.23, 95% confidence interval: 2.01–5.18), adjusted for other covariates. Further, people with college or more education were 71% less likely to choose "No" compared to those with high school or lower general education development education for future virtual visit [odds ratio for college or more: 0.29, 95% confodence interval: 0.10–0.87). Likewise, participants residing in rural counties were 57% less likely to choose "No" compared to urban counties for future virtual visit (odds ratio for rural participants: 0.43, 95% confidence interval:0.19–0.97) Discussion: Our study found notable differences in age, education, and rurality for use and/or preference for telemedicine. Medical institutions and healthcare providers will need to account for these differences to ensure that the implementation of telemedicine does not exacerbate existing health disparities. [ABSTRACT FROM AUTHOR]