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Background: About two-thirds of those with Alzheimer's disease (AD) are women, most of whom are post-menopausal. Menopause accelerates dementia risk by increasing the risk for metabolic, cardiovascular, and cerebrovascular diseases. Mid-life metabolic disease (obesity, diabetes/prediabetes) is a well-known risk factor for dementia. A high fat diet can lead to poor metabolic health in both humans and rodents. Objective: Our goal was to determine the effects of a high fat diet on metabolic outcomes in the AppNL-F knock-in mouse model of AD and assess the effects of menopause. Methods: First, 3-month-old AppNL-F and WT female mice were placed on either a control or a high fat diet until 10 months of age then assessed for metabolic outcomes. Next, we did a more extensive assessment in AppNL-F mice that were administered VCD (4-vinylcyclohexene diepoxide) or vehicle (oil) and placed on a control or high fat diet for 7 months. VCD was used to model menopause by causing accelerated ovarian failure. Results: Compared to WT controls, AD female mice had worse glucose intolerance. Menopause led to metabolic impairment (weight gain and glucose intolerance) and further exacerbated obesity in response to a high fat diet. There were interactions between diet and menopause on some metabolic health serum biomarkers and the expression of hypothalamic markers related to energy balance. Conclusions: This work highlights the need to model endocrine aging in animal models of dementia and will contribute to further understanding the interaction between menopause and metabolic health in the context of AD. [ABSTRACT FROM AUTHOR]

PurposeMethodsResultsConclusionThe objective of this study was to evaluate the relationship between research activity and National Institutes of Health (NIH) funding status of the United States (US) academic ophthalmologists.A retrospective cross-sectional analysis of bibliometric data was conducted. The NIH Research Portfolio Online Reporting Tools Expenditures and Reports (rePORTER) website was utilized to identify ophthalmology departments in the US that received NIH funding. Affiliated faculty from these institutions were then identified using NIH rePORTER and institutional websites. H-index was calculated using the Scopus database, and the NIH iCite tool was used to determine the Relative Citation Ratio (RCR). The h-index and w-RCR quantified research productivity, while m-RCR measured research impact.Data on 2688 faculty members from 66 departments we re identified, of which 21% were NIH-funded. Faculty members who received NIH-funding had significantly greater research productivity and impact as measured by h-index (32.5 vs 16.6; p < .001), m-RCR (2.2 vs 1.6; p < .001), and w-RCR (147.2 vs 70.1; p < .001) than their non-funded peers. When stratified by academic rank, NIH-funded faculty still had significantly higher h-index (16.1 vs 7.9; p < .001), m-RCR (2.2 vs 1.4; p < .001), and w-RCR (63.2 vs 61.8; p < .001) than non-funded peers. A similar trend was observed among non-tenured faculty members.NIH funding is associated with higher research productivity and impact among US academic ophthalmologists as measured by h-index and RCR, which suggests that NIH funding may be a critical factor in enhancing scholarly contributions of ophthalmologists.  These findings underscore the importance of continued investment in NIH funding to foster high-impact research within the field of ophthalmology. [ABSTRACT FROM AUTHOR]