Faculty Bibliography

BACKGROUND:(p-tau), as well as the trajectories of these CSF measures obtained longitudinally. RESULTS:A total of 111 ADNI and 190 NYU participants classified as CU with available NLR, CSF, and covariate data were included. Compared to NYU, ADNI participants were older (73.79 vs. 61.53, p < 0.001), had a higher proportion of males (49.5% vs. 36.8%, p = 0.042), higher BMIs (27.94 vs. 25.79, p < 0.001), higher prevalence of hypertensive history (47.7% vs. 16.3%, p < 0.001), and a greater percentage of Aβ-positivity (34.2% vs. 20.0%, p = 0.009). In the ADNI cohort, we found cross-sectional associations between the NLR and CSF Aβ42 (β = -12.193, p = 0.021), but not t-tau or p-tau. In the NYU cohort, we found cross-sectional associations between the NLR and CSF t-tau (β = 26.812, p = 0.019) and p-tau (β = 3.441, p = 0.015), but not Aβ42. In the NYU cohort alone, subjects classified as Aβ + (n = 38) displayed a stronger association between the NLR and t-tau (β = 100.476, p = 0.037) compared to Aβ- subjects or the non-stratified cohort. In both cohorts, the same associations observed in the cross-sectional analyses were observed after incorporating longitudinal CSF data. CONCLUSIONS:We report associations between the NLR and Aβ42 in the older ADNI cohort, and between the NLR and t-tau and p-tau in the younger NYU cohort. Associations persisted after adjusting for comorbidities, suggesting a direct link between the NLR and AD. However, changes in associations between the NLR and specific AD biomarkers may occur as part of immunosenescence.

BACKGROUND/UNASSIGNED:(p-tau), as well as the trajectories of these CSF measures obtained longitudinally. RESULTS/UNASSIGNED:A total of 111 ADNI and 190 NYU participants classified as CU with available NLR, CSF, and covariate data were included. Compared to NYU, ADNI participants were older (73.79 vs. 61.53, p < 0.001), had a higher proportion of males (49.5% vs. 36.8%, p = 0.042), higher BMIs (27.94 vs. 25.79, p < 0.001), higher prevalence of hypertensive history (47.7% vs. 16.3%, p < 0.001), and a greater percentage of Aβ-positivity (34.2% vs. 20.0%, p = 0.009). In the ADNI cohort, we found cross-sectional associations between the NLR and CSF Aβ42 (β=-12.193, p = 0.021), but not t-tau or p-tau. In the NYU cohort, we found cross-sectional associations between the NLR and CSF t-tau (β = 26.812, p = 0.019) and p-tau (β = 3.441, p = 0.015), but not Aβ42. In the NYU cohort alone, subjects classified as Aβ+ (n = 38) displayed a stronger association between the NLR and t-tau (β = 100.476, p = 0.037) compared to Aβ- subjects or the non-stratified cohort. In both cohorts, the same associations observed in the cross-sectional analyses were observed after incorporating longitudinal CSF data. CONCLUSIONS/UNASSIGNED:in the younger NYU cohort. Associations persisted after adjusting for comorbidities, suggesting a direct link between the NLR and AD. However, changes in associations between the NLR and specific AD biomarkers may occur as part of immunosenescence.

High-resolution whole slide image scans of histopathology slides have been widely used in recent years for prediction in cancer. However, in some cases, clinical informatics practitioners may only have access to low-resolution snapshots of histopathology slides, not high-resolution scans. We evaluated strategies for training neural network prognostic models in non-small cell lung cancer (NSCLC) based on low-resolution snapshots, using data from the Veterans Affairs Precision Oncology Data Repository. We compared strategies without transfer learning, with transfer learning from general domain images, and with transfer learning from publicly available high-resolution histopathology scans. We found transfer learning from high-resolution scans achieved significantly better performance than other strategies. Our contribution provides a foundation for future development of prognostic models in NSCLC that incorporate data from low-resolution pathology slide snapshots alongside known clinical predictors.

BACKGROUND/UNASSIGNED:Loneliness has been declared an "epidemic" associated with negative physical, mental, and cognitive health outcomes such as increased dementia risk. Less is known about the relationship between loneliness and advanced neuroimaging correlates of Alzheimer's disease (AD). OBJECTIVE/UNASSIGNED:To assess whether loneliness was associated with advanced neuroimaging markers of AD using neuroimaging data from Framingham Heart Study (FHS) participants without dementia. METHODS/UNASSIGNED:In this cross-sectional observational analysis, we used functional connectivity MRI (fcMRI), amyloid-β (Aβ) PET, and tau PET imaging data collected between 2016 and 2019 on eligible FHS cohort participants. Loneliness was defined as feeling lonely at least one day in the past week. The primary fcMRI marker was Default Mode Network intra-network connectivity. The primary PET imaging markers were Aβ deposition in precuneal and FLR (frontal, lateral parietal and lateral temporal, retrosplenial) regions, and tau deposition in the amygdala, entorhinal, and rhinal regions. RESULTS/UNASSIGNED:Of 381 participants (mean age 58 [SD 10]) who met inclusion criteria for fcMRI analysis, 5% were classified as lonely (17/381). No association was observed between loneliness status and network changes. Of 424 participants (mean age 58 [SD = 10]) meeting inclusion criteria for PET analyses, 5% (21/424) were lonely; no associations were observed between loneliness and either Aβ or tau deposition in primary regions of interest. CONCLUSIONS/UNASSIGNED:In this cross-sectional study, there were no observable associations between loneliness and select fcMRI, Aβ PET, and tau PET neuroimaging markers of AD risk. These findings merit further investigation in prospective studies of community-based cohorts.

BACKGROUND/UNASSIGNED:Associations of plasma total tau levels with future risk of AD have been described. OBJECTIVE/UNASSIGNED:To examine the extent to which plasma tau reflects underlying AD brain pathology in cognitively healthy individuals. METHODS/UNASSIGNED:We examined cross-sectional associations of plasma total tau with 11C-Pittsburgh Compound-B (PiB)-PET and 18F-Flortaucipir (FTP)-PET in middle-aged participants at the community-based Framingham Heart Study. RESULTS/UNASSIGNED:Our final sample included 425 participants (mean age 57.6± 9.9, 50% F). Plasma total tau levels were positively associated with amyloid-β deposition in the precuneus region (β±SE, 0.11±0.05; p = 0.025). A positive association between plasma total tau and tau PET in the rhinal cortex was suggested in participants with higher amyloid-PET burden and in APOEɛ4 carriers. CONCLUSIONS/UNASSIGNED:Our study highlights that plasma total tau is a marker of amyloid deposition as early as in middle-age.

Depressed individuals are twice as likely to develop Alzheimer's disease (AD) as compared to controls. Brain amyloid-β (Aβ) deposition is believed to have a major role in AD pathogenesis but studies also suggest associations of Aβ dynamics and depression. The aim of this study was to test if plasma Aβ levels are longitudinally associated to late-life depression. We measured plasma levels of amyloid-β_1-40 (Aβ40) and amyloid-β_1-42 (Aβ42) peptides longitudinally for three consecutive years in 48 cognitively intact elderly subjects with late-life major depressive disorder (LLMD) and 45 age-matched cognitively healthy controls. We found that the Aβ42/Aβ40 plasma ratio was significantly and steadily lower in depressed subjects compared to controls (p < 0.001). At screening, Aβ42/Aβ40 plasma did not correlate with depression severity (as measured with Hamilton Depression Scale) or cognitive performance (as measured with Mini-Mental State Examination) but was associated to depression severity at 3 years after adjustment for age, education, cognitive performance, and antidepressants use. This study showed that reduced plasma Aβ42/Aβ40 ratio is consistently associated with LLMD diagnosis and that increased severity of depression at baseline predicted low Aβ42/Aβ40 ratio at 3 years. Future studies are needed to confirm these findings and examine if the consistently lower plasma Aβ42/Aβ40 ratio in LLMD reflects increased brain amyloid deposition, as observed in AD subjects, and an increased risk for progressive cognitive decline and AD.

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

Background and Objective/UNASSIGNED:Posttraumatic stress disorder (PTSD) is a serious and frequently debilitating psychiatric condition that can occur in people who have experienced traumatic stessors, such as war, violence, sexual assault and other life-threatening events. Treatment of PTSD and traumatic brain injury (TBI) in veterans is challenged by diagnostic complexity, partially due to PTSD and TBI symptom overlap and to the fact that subjective self-report assessments may be influenced by a patient's willingness to share their traumatic experiences and resulting symptoms. Corticotropin-releasing factor (CRF) is one of the main mediators of hypothalamic pituitary adrenal (HPA)-axis responses in stress and anxiety. Methods and Results/UNASSIGNED:We analyzed serum CRF levels in 230 participants including heathy controls (64), and individuals with PTSD (53), TBI (70) or PTSD+TBI (43) by enzyme immunoassay (EIA). Significantly lower CRF levels were found in both the PTSD and PTSD+TBI groups compared to healthy control (PTSD vs Controls: P=0.0014, PTSD + TBI vs Controls: P=0.0011) and chronic TBI participants (PTSD vs TBI: P<0.0001PTSD + TBI vs TBI: P<0.0001) , suggesting a PTSD-related mechanism independent from TBI and associated with CRF reduction. CRF levels negatively correlated with PTSD severity on the CAPS-5 scale in the whole study group. Conclusions/UNASSIGNED:Hyperactivation of the HPA axis has been classically identified in acute stress. However, the recognized enhanced feedback inhibition of the HPA axis in chronic stress supports our findings of lower CRF in PTSD patients. This study suggests that reduced serum CRF in PTSD should be further investigated. Future validation studies will establish if CRF is a possible blood biomarker for PTSD and/or for differentiating PTSD and chronic TBI symptomatology.