Citations

Background: Brain-derived neurotrophic factor (BDNF) is associated with body weight and other health conditions but remains understudied in the Latino population. The aim of this study was to examine the associations of BDNF serum levels with body mass index (BMI), physical activity, and the rs6265 nonconservative polymorphism among 349 Latinos aged ≥18 years enrolled in the Arizona Insulin Resistance Registry. Materials and Methods: Data on physical activity were acquired using a self-reported questionnaire. BDNF serum levels were measured utilizing a modified ELISA method, and the rs6265 polymorphism was genotyped by the Assay-by-Design service. Two sample t -tests or chi-squared tests were employed to compare demographics and outcomes between physically active and nonactive groups as well as between rs6265 CC and CT+TT groups. Results: BDNF levels and rs6265 polymorphism did not differ significantly between the physically active ( N = 195) and nonactive group ( N = 154). Participants with the rs6265 polymorphism did not show any significant difference in BDNF levels or BMI when compared with those with the normal functional variant. Higher BDNF levels were significantly associated with higher age ( r = 0.11, P = 0.04) and higher 2-hr glucose level ( r = 0.11, P = 0.04). Conclusions: In this cross-sectional study, the rs6265 polymorphism was not associated with a higher risk of obesity, or lower circulating levels of BDNF. Thus, the rs6265 polymorphism may have a different impact in Latinos as compared with other previously studied populations.

Abstract Introduction We tested the hypotheses that higher levels of and persistence of midlife leisure‐time physical activity (LTPA) are associated long‐term with lower cognitive decline and less incident dementia. Methods A total of 10,705 participants (mean age: 60 years) had LTPA (no, low, middle, or high) measured in 1987‐1989 and 1993‐1995. LTPA was assessed in relation to incident dementia and 14‐year change in general cognitive performance. Results Over a median follow‐up of 17.4 years, 1063 dementia cases were observed. Compared with no LTPA, high LTPA in midlife was associated with lower incidence of dementia (hazard ratio [95% confidence interval], 0.71 [0.61, 0.86]) and lower declines in general cognitive performance (−0.07 standard deviation difference [−0.12 to −0.04]). These associations were stronger when measured against persistence of midlife LTPA over 6 years. Discussion LTPA is a readily modifiable factor associated inversely with long‐term dementia incidence and cognitive decline.

It is an exciting time for big data efforts in radiation oncology. The use of big data to help aid both outcomes and decision‐making research is becoming a reality. However, there are true challenges that exist in the space of gathering and utilizing performance and outcomes data. Here, we summarize the current state of big data in radiation oncology with respect to outcomes and discuss some of the efforts and challenges in radiation oncology big data.

The term Big Data has come to encompass a number of concepts and uses within medicine. This paper lays out the relevance and application of large collections of data in the radiation oncology community. We describe the potential importance and uses in clinical practice. The important concepts are then described and how they have been or could be implemented are discussed. Impediments to progress in the collection and use of sufficient quantities of data are also described. Finally, recommendations for how the community can move forward to achieve the potential of big data in radiation oncology are provided.