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Browsing by Author "Lee, Richard E."
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Item Developing a brief assessment of social risks for the Veterans Health Administration Survey of Healthcare Experiences of Patients(Wiley, 2023) Hausmann, Leslie R. M.; Cohen, Alicia J.; Eliacin, Johanne; Gurewich, Deborah A.; Lee, Richard E.; McCoy, Jennifer L.; Meterko, Mark; Michaels, Zachary; Moy, Ernest M.; Procario, Gregory T.; Russell, Lauren E.; Schaefer, James H., Jr.; Medicine, School of MedicineObjective: To determine whether a 6- or 12-month look-back period affected rates of reported social risks in a social risk survey for use in the Veterans Health Administration and to assess associations of social risks with overall health and mental health. Study design: Cross-sectional survey of respondents randomized to 6- or 12-month look-back period. Data sources and study setting: Online survey with a convenience sample of Veterans in June and July 2021. Data collection/extraction methods: Veteran volunteers were recruited by email to complete a survey assessing social risks, including financial strain, adult caregiving, childcare, food insecurity, housing, transportation, internet access, loneliness/isolation, stress, discrimination, and legal issues. Outcomes included self-reported overall health and mental health. Chi-squared tests compared the prevalence of reported social risks between 6- and 12-month look-back periods. Spearman correlations assessed associations among social risks. Bivariate and multivariable logistic regression models estimated associations between social risks and fair/poor overall and mental health. Principal findings: Of 3418 Veterans contacted, 1063 (31.10%) responded (87.11% male; 85.61% non-Hispanic White; median age = 70, interquartile range [IQR] = 61-74). Prevalence of most reported social risks did not significantly differ by look-back period. Most social risks were weakly intercorrelated (median |r| = 0.24, IQR = 0.16-0.31). Except for legal issues, all social risks were associated with higher odds of fair/poor overall health and mental health in bivariate models. In models containing all significant social risks from bivariate models, adult caregiving and stress remained significant predictors of overall health; food insecurity, housing, loneliness/isolation, and stress remained significant for mental health. Conclusions: Six- and 12-month look-back periods yielded similar rates of reported social risks. Although most individual social risks are associated with fair/poor overall and mental health, when examined together, only adult caregiving, stress, loneliness/isolation, food, and housing remain significant.Item Metabolic activation of CaMKII by coenzyme A(Elsevier, 2013-11-07) McCoy, Francis; Darbandi, Rashid; Lee, Hoi Chang; Bharatham, Kavitha; Moldoveanu, Tudor; Royappa, Grace; Dodd, Keela; Lin, Wenwei; Chen, Si-Ing; Tangallapally, Rajendra P.; Kurokawa, Manabu; Lee, Richard E.; Shelat, Anang; Chen, Taosheng; Green, Douglas R.; Harris, Robert A.; Lin, Sue-Hwa; Fissore, Rafael A.; Colbran, Roger J.; Nutt, Leta K.; Biochemistry & Molecular Biology, School of MedicineActive metabolism regulates oocyte cell death via calcium/calmodulin-dependent protein kinase II (CaMKII)-mediated phosphorylation of caspase-2, but the link between metabolic activity and CaMKII is poorly understood. Here we identify coenzyme A (CoA) as the key metabolic signal that inhibits Xenopus laevis oocyte apoptosis by directly activating CaMKII. We found that CoA directly binds to the CaMKII regulatory domain in the absence of Ca(2+) to activate CaMKII in a calmodulin-dependent manner. Furthermore, we show that CoA inhibits apoptosis not only in X. laevis oocytes but also in Murine oocytes. These findings uncover a direct mechanism of CaMKII regulation by metabolism and further highlight the importance of metabolism in preserving oocyte viability.