Faculty Bibliography

Efforts to control the current coronavirus disease 2019 (COVID-19) pandemic have led to national lockdowns around the world. Reactions to the rapidly evolving outbreak were shared on social media platforms. We conducted a mixed-methods analysis of tweets collected from May 10 to May 24, 2020, using MAXQDA software in conjunction with Twitters search API using the keywords: "COVID-19," "coronavirus pandemic," "Covid19," "face masks," and included terms such as "Queens," "Bronx," "New York." A total of 7, 301 COVID-19-related tweets across the globe were analyzed. We used SAS Text Miner V.15.1 for descriptive text mining to uncover the primary topics in unstructured textual data. Content analysis of tweets revealed six themes: surveillance, prevention, treatments, testing and cure, symptoms and transmission, fear, and financial loss. Our study also demonstrates the feasibility of using Twitter to capture real-time data to assess the public's concerns and public health needs during the COVID-19 pandemic.

We examined the relative contribution of pulmonary diseases (chronic obstructive pulmonary disease, asthma and sleep apnea) to mortality risks associated with Coronavirus Disease (COVID-19) independent of other medical conditions, health risks, and sociodemographic factors. Data were derived from a large US-based case series of patients with COVID-19, captured from a quaternary academic health network covering New York City and Long Island. From March 2 to May 24, 2020, 11,512 patients who were hospitalized were tested for COVID-19, with 4,446 (38.62%) receiving a positive diagnosis for COVID-19. Among those who tested positive, 959 (21.57%) died of COVID-19-related complications at the hospital. Multivariate-adjusted Cox proportional hazards modeling showed mortality risks were strongly associated with greater age (HR = 1.05; 95% CI: 1.04-1.05), ethnic minority (Asians, Non-Hispanic blacks, and Hispanics) (HR = 1.26; 95% CI, 1.10-1.44), low household income (HR = 1.29; 95% CI: 1.11, 1.49), and male sex (HR = 0.85; 95% CI: 0.74, 0.97). Higher mortality risks were also associated with a history of COPD (HR = 1.27; 95% CI: 1.02-1.58), obesity (HR = 1.19; 95% CI: 1.04-1.37), and peripheral artery disease (HR = 1.33; 95% CI: 1.05-1.69). Findings indicate patients with COPD had the highest odds of COVID-19 mortality compared with patients with pre-existing metabolic conditions, such as obesity, diabetes and hypertension. Sociodemographic factors including increased age, male sex, low household income, ethnic minority status were also independently associated with greater mortality risks.

Background: Rodent model and in vitro studies suggest brain temperature has the potential to bidirectionally interact with tau pathology in Alzheimer's Disease (AD): tau phosphorylation is robustly increased by small (<1degreeC) reductions in temperature within the human physiological range, and lower brain thermoregulatory areas may be among those first affected by AD pathology. Here, we evaluated the cross-sectional association between body temperature (Tb), as a proxy for brain temperature, and clinically accessible markers of tau pathology in cognitively normal older adults.
Method(s): Tb was measured continuously over 48 hours with ingestible telemetry combined with a novel pre-processing algorithm. This period included 2 nights of nocturnal polysomnography to facilitate delineation of Tb-tau pathology relationships according to waking vs sleeping time intervals. Tau pathology was assessed with both soluble markers including plasma P-tau (P-tau 181) and cerebrospinal fluid (CSF) P-tau, both sampled the following day, and aggregated tau, namely neurofibrillary tangle (NFT) burden in early (I-III) Braak stage areas imaged with MR-PET using the [18F]MK-6240 radio tracer on average ~ one month later Results: Plasma and CSF P-tau levels were highly correlated with one another and with tau tangle radio tracer uptake (NFT burden), p < 0.05 for all comparisons. Lower Tb (quantified by lower mean Tb and a greater proportion of time Tb was under 37.0degreeC) was associated with increased NFT burden and increased plasma and CSF P-tau levels, p < 0.05 all comparisons. For aggregated tau, lower Tb - tau pathology associations were seen during for Tb recorded during waking, but not during sleeping intervals.
Conclusion(s): Preliminary results suggest that lower body temperature in older adults may be associated with increased aggregated and soluble tau pathology

Background: Triggering receptor expressed on myeloid cells 2 (TREM2) is a transmembrane innate immune receptor of the immunoglobulin family. In the brain, TREM2 is found exclusively on microglia and its stimulation has been associated with antiinflammatory and protective effects. Activation of TREM2 also results in the formation of a proteolytic soluble product (sTREM2). Higher baseline CSF sTREM2 concentrations have been associated with a slower rate of cognitive decline and decreased longitudinal brain amyloid deposition in Alzheimer's disease (AD). Thus, it has been proposed that CSF sTREM2 might reflect an antiinflammatory state. In a previous study by our group (ACNP presentation 2017), cognitively unimpaired individuals with latelife major depression (LLMD) which is associated with increased risk for AD, showed significant reductions in CSF sTREM2 levels and a lack of significant correlations with CSF AD biomarkers compared to controls, consistent with the aforementioned hypothesis and that TREM2- mediated anti-inflammatory microglia activation might be impaired in this disorder. In the current report, we examined the relationship between longitudinal changes in CSF sTREM2 during a 3-year period and their relationship to LLMD diagnosis and changes in AD and inflammatory markers.
Method(s): Our baseline sample consisted of 51 subjects aged 60 years and older who completed a longitudinal observational study over three years and an optional lumbar puncture (LP). 38 of these individuals completed the LP at year 3 (20 with LLMD and 18 controls). We evaluated the effects of time on CSF TREM2 with related-samples Wilcoxon Signed Rank Test and the effect diagnosis on change in CSF sTREM2 with Mann Whitney U test. Correlations between change in CSF sTREM2 and CSF markers of AD (Abeta42, Abeta40, total-tau, p-tau181), inflammation (Il-6, Il-8), and Complement component 3 (C3) markers were run with Spearman's Rank test.
Result(s): Baseline CSF sTREM2 was significantly lower in the LLMD group vs controls (p = 0.03). There were no group differences in CSF sTREM2 from baseline to Year 3 (LLMD p = 0.82, Controls p = 0.18), nor did Year 3 differ between the LLMD and control group (p = 0.35). No differences were observed between controls and LLMD for the longitudinal change in CSF sTREM2, AD biomarkers and inflammatory markers. In the whole group, change in sTREM2 was significantly moderately correlated with change in CSF Abeta40 (rho = 0.54, p < 0.001), Abeta42 (rho = 0.48, p = 0.003), and PTau181 (rho = 0.34, p = 0.04). In the control group, change in sTREM2 was significantly correlated with change in CSF Abeta40 (rho = 0.58, p = 0.01) and Abeta42 (rho = 0.56, p = 0.02). In the LLMD group, change in sTREM2 was significantly correlated with change in CSF Abeta40 (rho = 0.50, p = 0.03), Tau (rho = 0.44, p = 0.05) and P-Tau181 (rho = 0.52, p = 0.02) but not with change in CSF Abeta42, a more specific marker of cerebral amyloidosis. Change in inflammatory markers (i.e., IL-6, IL-8) were not significantly correlated with change in sTREM2 (p > 0.05) for LLMD or controls, or the whole group. Change in sTREM2 was significantly correlated with C3 (rho = 0.35, p = 0.04) in the whole group.
Conclusion(s): There were no group differences in change in CSF sTREM2 during a 3-year period, nor any difference between baseline and year 3. The longitudinal increase in CSF sTREM2 during a 3-year period and its association with CSF AD biomarkers may reflect increased anti-inflammatory microglia activation and phagocytosis in response to pathological forms of AD biomarkers Abeta, tau, and p-tau 181. Interestingly, the CSF sTREM2 increase was associated with the increase CSF Abeta42 in controls, but not in LLMD. This finding suggests that upregulation of anti-inflammatory microglia and phagocytosis of brain amyloid deposits may be less efficient in LLMD. Similarly, the positive correlation between the longitudinal increase in CSF sTREM2 and the increase in CSF T-tau and Ptau181, which we found in the LLMD group but not in controls is also consistent with an upregulation of anti-inflammatory microglia in response to increased tau and neurofibrillary tangles, markers of neurodegeneration and AD, respectively. However, the change in CSF sTREM2 was correlated with the change in CSF C3 in the whole cohort; our group and others have also found positive correlations between CSF sTREM2 and CSF neurofilament light (NFL) protein, a biomarker of neuroaxonal damage. Taken together these results suggest that higher CSF sTREM2 concentrations may reflect not only upregulation of antiinflammatory microglia and phagocytosis in response to increased brain amyloid and tau pathology, but also increased neurotoxic effects which are possibly related to its reported intrinsic proinflammatory effects

Objective/UNASSIGNED:The study objective was to examine predictors of sleep disturbance and strain among caregivers of persons living with dementia (PLWD). Methods/UNASSIGNED:This cross-sectional study utilized a sample of community-dwelling older adults and their family caregivers drawn from the 2017 National Health and Aging Trends Study and National Study of Caregiving. Multivariable logistic regression was used to assess the association between caregiver and PLWD characteristics and a composite measure of caregiving strain. High caregiving strain was defined as a total score of ≥ 5 on the 6 caregiving strain items (e.g., emotional difficulty, no time for self). We used multivariable proportional odds models to examine predictors of caregiver sleep-related outcomes (trouble falling back to sleep and interrupted sleep), after adjusting for other caregiver and PLWD factors. Results/UNASSIGNED:Of the 1,142 family caregivers, 65.2% were female, 15% were Black, and 14% were Hispanic. Average age was 60 years old. Female caregivers were more likely to report high level of strain compared to male caregivers (OR: 2.61, 95% CI = 1.56, 4.39). Compared to non-Hispanic Whites, non-Hispanic Black and Hispanic caregivers had reduced odds of reporting greater trouble falling back asleep [OR = 0.55, CI (0.36, 0.82) and OR = 0.56, CI (0.34, 0.91), respectively]. The odds of reporting greater trouble falling back asleep was significantly greater among caregivers with high blood pressure vs. caregivers without high blood pressure [OR = 1.62, CI (1.12, 2.33)]. Conclusion/UNASSIGNED:In this cross-sectional study, caregivers with greater sleep difficulty (trouble falling back asleep) were more likely to report having high blood pressure. We found no racial/ethnic differences in interrupted sleep among caregivers to PLWD. These results suggest that interventions to improve sleep among caregivers to PLWD may decrease poor cardiovascular outcomes in this group.

Objective/UNASSIGNED:Compared to European Americans, research indicates that African Americans have higher white matter hyperintensity (WMH) load; however, the clinical and biological bases underlying this higher burden are poorly understood. We hypothesize that obesity may explain differences in WMH between African and European Americans. Methods/UNASSIGNED:, and WMH load, captured by FLAIR images, as sum of deep and periventricular volumes, scored using the Fazekas scale (0-6), WMH≥4 considered high. Results/UNASSIGNED:=5.3, p=0.02). Conclusion/UNASSIGNED:Results denote that age predicted WMH among European Americans, while obesity predicted WMH among African Americans. Matched sample analyses indicate that obesity increases the odds of WMH, though more pronounced in African Americans. These findings suggest that obesity may explain the differential burden of white matter hyperintensity load, signifying public health and clinical importance.

This study explored the divergence in population-level estimates of insufficient sleep (<6 h) by examining the explanatory role of race/ethnicity and contrasting values derived from logistic and Poisson regression modeling techniques. We utilized National Health and Nutrition Examination Survey data to test our hypotheses among 20-85 year-old non-Hispanic Black and non-Hispanic White adults. We estimated the odds ratios using the transformed logistic regression and Poisson regression with robust variance relative risk and 95% confidence intervals (CI) of insufficient sleep. Comparing non-Hispanic White (10176) with non-Hispanic Black (4888) adults (mean age: 50.61 ± 18.03 years, female: 50.8%), we observed that the proportion of insufficient sleepers among non-Hispanic Blacks (19.2-26.1%) was higher than among non-Hispanic Whites (8.9-13.7%) across all age groupings. The converted estimated relative risk ranged from 2.12 (95% CI: 1.59, 2.84) to 2.59 (95% CI: 1.92, 3.50), while the estimated relative risks derived directly from Poisson regression analysis ranged from 1.84 (95% CI: 1.49, 2.26) to 2.12 (95% CI: 1.64, 2.73). All analyses indicated a higher risk of insufficient sleep among non-Hispanic Blacks. However, the estimates derived from logistic regression modeling were considerably higher, suggesting the direct estimates of relative risk ascertained from Poisson regression modeling may be a preferred method for estimating population-level risk of insufficient sleep.