Citations

Abstract Primary age-related tauopathy (PART) is a neurodegenerative entity defined as Alzheimer-type neurofibrillary degeneration primarily affecting the medial temporal lobe with minimal to absent amyloid-β (Aβ) plaque deposition. The extent to which PART can be differentiated pathoanatomically from Alzheimer disease (AD) is unclear. Here, we examined the regional distribution of tau pathology in a large cohort of postmortem brains (n = 914). We found an early vulnerability of the CA2 subregion of the hippocampus to neurofibrillary degeneration in PART, and semiquantitative assessment of neurofibrillary degeneration in CA2 was significantly greater than in CA1 in PART. In contrast, subjects harboring intermediate-to-high AD neuropathologic change (ADNC) displayed relative sparing of CA2 until later stages of their disease course. In addition, the CA2/CA1 ratio of neurofibrillary degeneration in PART was significantly higher than in subjects with intermediate-to-high ADNC burden. Furthermore, the distribution of tau pathology in PART diverges from the Braak NFT staging system and Braak stage does not correlate with cognitive function in PART as it does in individuals with intermediate-to-high ADNC. These findings highlight the need for a better understanding of the contribution of PART to cognitive impairment and how neurofibrillary degeneration interacts with Aβ pathology in AD and PART.

AbstractBackgroundThe histopathological diagnosis of MF is challenging, and there is significant overlap with benign inflammatory processes. Clinical features may be relevant in the assessment of skin biopsies.MethodsWe provided photomicrographs to board‐certified dermatopathologists and one hematopathologist with and without accompanying clinical photographs and assessed accuracy and confidence in diagnosing MF.ResultsWe found that access to clinical photographs improved diagnostic accuracy in both MF and non‐MF (distractors); the degree of improvement was significantly higher in the non‐MF/distractor category. Across all categories, diagnostic confidence level was higher when clinical images were available.ConclusionThese findings suggest that clinical images are useful in making an accurate diagnosis of MF, and may be particularly helpful in ruling it out when an inflammatory disorder is clinically suspected.

AbstractPopulation‐based genomic screening has the potential to improve health outcomes by identifying genetic causes of disease before they occur. While much attention has been paid to supporting the needs of the small percentage of patients who will receive a life‐altering positive genomic screening result that requires medical attention, little attention has been given to the communication of negative screening results. As there are currently no best practices for returning negative genomic screening results, we drew on experiences across the electronic medical records and genomics (eMERGE) III Network to highlight the diversity of reporting methods employed, challenges encountered in reporting negative test results, and “lessons learned” across institutions. A 60‐item survey that consisted of both multiple choice and open‐ended questions was created to gather data across institutions. Even though institutions independently developed procedures for reporting negative results, and had very different study populations, we identified several similarities of approach, including but not limited to: returning results by mail, placing results in the electronic health record via an automated process, reporting results to participants' primary care provider, and providing genetic counseling to interested patients at no cost. Differences in procedures for reporting negative results included: differences in terminology used to describe negative results, definitions of negative results, guidance regarding the meaning of negative results for participants and their family members, and recommendations for clinical follow up. Our findings highlight emerging practices for reporting negative genomic screening results and highlight the need to create patient education and clinical support tools for reporting negative screening results.

AbstractBackgroundParkinson’s disease (PD) is a complex neurodegenerative disease in which combinations of motor and non‐motor symptoms result in a wide range of phenotypic presentations and disease progression. Precise characterization of these clinical endophenotypes can guide clinical practice. Such endophenotypes can also be powerful to identify genetic factors for complex diseases, like PD. Given the prevalence and impact of cognitive impairment in PD, we aimed to characterize cognitive endophenotypes in a cohort of PD patients with longitudinal assessments.MethodWe reviewed the medical records of 1028 individuals diagnosed with PD by a movement disorders specialist at our institution. We extracted scores from all available Mini‐Mental Status Examinations (MMSE). We fit proportional odds models with patient specific random effects to estimate odds ratios for higher versus lower cognition in association with age, sex and follow‐up time.ResultAmong the 237 patients with at least one MMSE, 108 had ≥2 time points and 118 were cognitively impaired (MMSE<27). The mean age was 71 years, 63 (27%) were female and the mean follow‐up time was 2.56 years. Overall, females with PD had higher MMSE scores than males with an odds ratio at age 70 of 2.43 (95% CI: 1.29, 4.97). However, MMSE scores decline with age at a faster rate in females than males (p=0.002) with ORs for a 1 year of 0.85 (0.79, 0.91) and 0.94 (95%CI: 0.91, 0.97), respectively. Within patients, declines in MMSE per year had an OR of 0.76 (0.60, 0.97) for females and 0.85 (0.75, 0.95) for males though this difference was not statistically significant. Corresponding expected MMSE trajectories are shown in the figure.ConclusionOur findings demonstrate sex differences in the cognitive phenotypes of PD. In particular, cognitive scores tend to be higher in females compared to males, but decline faster in females. These findings have clinical implications regarding counseling of patients with PD. We are currently expanding this approach to specific cognitive domains, other validated tests of cognition, and investigating the influence of genetic risk factors, such as APOE on cognitive decline in PD.

AbstractBackgroundDigital pathology and machine learning (ML) workflows have paradigm shifting potential especially in the field of Alzheimer’s disease and related disorders. However, many institutions/centers may not have access to these technologies. To provide benchmark data, a survey was developed and distributed to National Institutes of Health’s Alzheimer’s Disease Centers (ADCs) in the United States.MethodSurvey questions covered topics such as: infrastructure (i.e. type of digital slide scanners used), funding sources (i.e. how the scanner was funded), and data management/storage (i.e. size of digital files). After development, review, and approval by the ADC digital pathology working group, the survey was distributed via email to 35 past and current ADC directors and/or ADC neuropathology core leaders. Participation in the survey was completely voluntary and answers did not contain any personal data.ResultThe survey generated over a 90% response rate, and the majority of those who completed the survey were neuropathology core leaders; 81% stated their ADC had access to a digital slide scanner, most common brand being Aperio/Leica. One third of respondents stated there was a fee for service to utilize the scanner. For digital pathology and/or ML resources, 40% of respondents stated none are supported in any way by their ADC. To cover the purchase and operation of the scanner, 50% stated they had institutional support. Many were unsure of the approximate average scanned file size of digital images (37%) and total amount of storage space that files occupied (50%). Many (75%) were aware of other departments at their institution working with digital pathology and/or ML, but a similar percentage was unaware of multi‐university or industry partnerships.ConclusionThese results demonstrate many ADCs have access to a digital slide scanner and had institutional support to cover the purchase. However, further investigation is needed to understand hurdles and barriers for implementing both digital pathology and ML workflows aiding in standardized methods across ADCs.

AbstractBackgroundDementia with Lewy bodies (DLB) is neuropathologically defined by the presence of α‐synuclein aggregations, but many DLB cases show significant Alzheimer’s disease (AD) pathology in the form of β‐amyloid and tau. Our first objective was to investigate the effect of AD co‐pathology on functional network failure in DLB. Secondly, we studied how the distribution of tau relates to functional connectivity in DLB.MethodTwenty‐three DLB, 23 age‐ and sex‐matched AD, and 90 cognitively unimpaired (CU) participants underwent AV1451 tau‐PET, Pittsburgh compound‐B (PiB) PET, and resting state (rs)‐fMRI scans. The rs‐fMRI data were used to calculate the Network Failure Quotient (NFQ), a marker of functional network failure within the default mode network. The NFQ was then correlated with overall cortical tau standardized uptake value ratio (SUVr). The strength of inter‐regional functional connectivity was assessed using the Schaefer100 atlas. Tau‐PET covariance was measured as the correlation in AV1451 SUVr between any two regions across participants. The association between region‐to‐region functional connectivity and tau‐PET covariance was assessed using linear regression. Additionally, we identified the region with highest and the region with lowest tau SUVrs (tau hot‐ and coldspot) and tested whether tau SUVr in all other brain regions was associated with the strength of functional connectivity to these tau hot‐ and coldspots.ResultOverall higher cortical tau‐PET uptake correlated with higher NFQ (i.e. greater functional network failure) in DLB who were PiB+ (N=14, ρ=0.60, p=0.02), but not in DLB who were PiB‐ (N=9, ρ=‐0.06, p=0.87). Higher functional connectivity between regions was associated with higher tau covariance in CU, AD, and DLB, independent of PiB status. Higher functional connectivity of a target region to the tau hotspot (i.e. inferior/medial temporal cortex) was related to higher AV1451 SUVRs in the target region whereas higher functional connectivity to the tau coldspot (i.e. sensory‐motor cortex) was related to lower AV1451 SUVr in the target region.ConclusionGreater tau burden in DLB patients with β‐amyloid co‐pathology is associated with an AD‐like functional network failure. As previously demonstrated within the AD spectrum, functional connectivity may contribute to the spreading of tau across the brain also in DLB.

AbstractBackgroundThe American Academy of Neurology Practice Guidelines recommends physical exercise to help maintain cognition in people with Mild Cognitive Impairment (pwMCI). We previously demonstrated yoga’s benefit in maintenance of memory related activities of daily living at one year follow‐up in pwMCI (Chandler et al., 2019), and yoga may be beneficial in offsetting a sense of burden in care partners at 12 months (Amofa et al., submitted). In this analysis, we sought to examine the impact of yoga training on physical performance in pwMCI and their care partners.MethodIn this multisite, randomized clinical trial, we enrolled 272 patients meeting National Institute on Aging–Alzheimer’s Association criteria for MCI and a care partner. The intervention program was modeled on the 10 day Mayo Clinic HABIT Healthy Action to Benefit Independence and Thinking® program. Of 5 possible interventions (memory compensation training, computerized cognitive training, yoga, patient and partner support groups, and wellness education), 1 of 5 interventions was randomly selected to be withheld for each intervention group, thus allowing us to examine comparative effectiveness. Participants and their partners had 1‐day booster sessions at 6 and 12 months after intervention. The Short Physical Performance Battery (SPPB), a measure of balance, gait speed, and repeated chair stands was used to assess physical function outcomes.ResultThere was a general pattern of physical decline on the SPPB over the year in pwMCI, regardless of yoga training (d=‐0.04, p=0.78) (Figure 1, Panel A). Among care partners, those randomized to the no yoga group had a worse decline in physical function compared to those receiving yoga (d=‐0.31, p=0.034) (Figure 1, Panel B). While not reaching statistical significance in subgroup comparisons, yoga training tended to have a greater effect on SPPB than computerized cognitive training (d = 0.35, p = .06) or wellness education (d = 0.32, p =.09) (Table 1).ConclusionParticipation in yoga had a positive impact on physical performance outcomes at one year for care partners, but did not counteract general physical decline in pwMCI.

PURPOSEThere remains a lack of clarity regarding the influence of sequencing of androgen deprivation therapy (ADT) and radiotherapy (RT) on outcomes in prostate cancer (PCa). Herein, we evaluate the optimal sequencing of ADT with prostate-directed RT in localized PCa.METHODSMEDLINE (1966-2018), Embase (1982-2018), ClinicalTrials.gov, and conference proceedings (1990-2018) were searched to identify randomized trials evaluating the sequencing, but not duration, of ADT with RT. Two randomized phase III trials were identified, and individual patient data were obtained: Ottawa 0101 and NRG Oncology's Radiation Therapy Oncology Group 9413. Ottawa 0101 randomly assigned patients to neoadjuvant or concurrent versus concurrent or adjuvant short-term ADT. Radiation Therapy Oncology Group 9413, a 2 × 2 factorial trial, included a random assignment of neoadjuvant or concurrent versus adjuvant short-term ADT. The neoadjuvant or concurrent ADT arms of both trials were combined into the neoadjuvant group, and the arms receiving adjuvant ADT were combined into the adjuvant group. The primary end point of this meta-analysis was progression-free survival (PFS).RESULTSThe median follow-up was 14.9 years. Overall, 1,065 patients were included (531 neoadjuvant and 534 adjuvant). PFS was significantly improved in the adjuvant group (15-year PFS, 29% v 36%, hazard ratio [HR], 1.25 [95% CI, 1.07 to 1.47], P = .01). Biochemical failure (subdistribution HR [sHR], 1.37 [95% CI, 1.12 to 1.68], P = .002), distant metastasis (sHR, 1.40 [95% CI, 1.00 to 1.95], P = .04), and metastasis-free survival (HR, 1.17 [95% CI, 1.00 to 1.37], P = .050) were all significantly improved in the adjuvant group. There were no differences in late grade ≥ 3 gastrointestinal (2% v 3%, P = .33) or genitourinary toxicity (5% v 5%, P = .76) between groups.CONCLUSIONThe sequencing of ADT with prostate-directed RT has significant association with long-term PFS and MFS in localized PCa. Our findings favor use of an adjuvant over a neoadjuvant approach, without any increase in long-term toxicity.

Abstract OBJECTIVE Glioblastoma (GBM) is the most common malignant primary brain tumor in adults, with males more commonly affected than females(1.6:1). Despite advancements in treatments, prognosis is dismal with a median overall survival of 15 months. Our aim was to investigate sex as a variable in GBM patient survival after receiving incremental levels of standard-of-care treatment regimens – different extents of surgical resection and different numbers of cycles of adjuvant temozolomide chemotherapy. METHODS Drawing from our extensive multi-institutional brain tumor repository, we investigated GBM subjects with overall survival (OS), extent of resection (EOR), number of temozolomide (TMZ) cycles, and sex data (n=620, males: n=387, females: n=233). Cox proportional hazard ratios were computed to investigate the multivariable predictive value of the patient variables with OS. Patients were then divided into groups based on their sex, EOR (either biopsy, subtotal resection (STR) or gross total resection (GTR)), and TMZ cycles (I: &lt; 6 cycles, II: 7-11 cycles and III: &gt;12 cycles). RESULTS We observed that STR was beneficial for females (HR=0.52; CI=0.33-0.83; p-value=0.013), while for males the benefit was not detected (HR=0.73; CI=0.46-1.15; p-value=0.173) for STR but was detectable for GTR (HR=0.58, CI=0.37-0.90; p-value=0.014). Females receiving 7-11 cycles of TMZ showed a survival benefit (HR=0.52; CI=0.12-0.53; p-value=0.048) while males in the same group did not (HR=0.74; CI=0.46-1.19; p-value=0.21), in comparison to those in group I of TMZ cycles. No sex differences were identified in patients receiving &lt; =6 cycles or &gt;=12 cycles. CONCLUSION Together, our results contribute to the growing literature that sex differences exist in GBM patients, even in response to standard-of-care therapies. This should be accounted for when designing clinical trials for GBM so that we may advance our pursuit to deliver personalized medicine.