Citations

AbstractBackgroundOne nonpharmacological intervention for persons with amnestic Mild Cognitive Impairment (MCI) is development of a compensatory memory notebook/planner system. De Wit et al. (2019) showed that global cognitive status is the primary predictor of learning success with training on a memory notebook system and that learning success predicts ongoing adherence to the tool. The purpose of our work is to validate their analysis in a new sample and evaluate whether or not patient or partner personality traits predict learning success over and above that explained by cognitive status.MethodTraining in the Memory Support System (MSS) is one component of the multi‐disciplinary behavioral intervention program called Healthy Action to Benefit Independence and Thinking (HABIT) offered at Mayo Clinic. 183 patient and partner dyads completed the HABIT program and enrolled in our IRB approved ongoing research registry to allow use of their clinical data for research purposes. Personality traits were measured with the self‐report Ten Item Personality Inventory (TIPI) based on the five‐factor model of personality (Agreeableness, Conscientiousness, Emotional Stability, Openness, and Extraversion) completed by both the patient and the partner. For our analyses, we fit logistic regression models to predict full MSS mastery at the end of the two‐week program and dichotomized TIPI into “high” or “low” for each trait based on its median (low was the reference group).ResultConsistent with De Wit et al. (2019), global cognitive status again was the only significant predictor of MSS learning mastery when considering age, education, baseline depression score and baseline global cognitive status (Table 2). When adding patient personality traits, only openness significantly added to the model with higher openness predicting learning success (Table 3). Adding both patient and partner personality traits resulted in a significant interaction between patient and partner openness (Table 4). The direction of this interaction indicates that learning success is highest when either the partner or patient is high in openness (but not both).ConclusionHigh openness to experience in the patient with MCI or their partner (but not both) significantly improves learning success for a cognitive rehabilitation memory support tool in patients with MCI.

AbstractBackgroundWe have previously demonstrated that partial reduction of mitochondrial complex I (MCI) activity using small molecules is efficacious in decreasing levels of amyloid beta (Aβ), phosphorylated Tau, augmenting mitochondrial bioenergetics, promoting resistance to oxidative stress and restoring mitochondrial axonal trafficking, levels of BDNF and synaptic proteins in pre‐symptomatic APP/PS1 mice. In parallel, these mice demonstrated an improved cognitive and behavioral phenotype compared to their untreated littermates.MethodIn the current study, we tested whether treatment with MCI inhibitors could halt the disease progression when treatment was administered to symptomatic APP/PS1 mice.ResultTreatment improved glucose tolerance, prevented body weight loss, and ameliorated systemic inflammation. Treatment improved glucose uptake in the brain measured using FDG‐PET imaging. Electrophysiological recording in hippocampus indicated that synaptic activity and LTP were restored in treated APP/PS1 mice. Data gathered using 3D electron microscopy reconstruction of dendrites in CA1 region of hippocampus showed that treatment increased the population of mature dendritic spines in APP/PS1 mice, which correlates with restored synaptic activity and improved glucose uptake and utilization in the brain. Immunohistochemical analysis showed that treated APP/PS1 mice had reduced brain level of Aβ plaques, markers of inflammation and reduced degeneration of TH+ neurons in locus coeruleus. The RNA‐seq gene function enrichment analysis showed that pathways down‐regulated by treatment with MCI inhibitors in APP/PS1 mice included the ones involved in oxidative stress and immune system response. Moreover, RNA‐seq data analysis depicted a cluster of genes involved in dendritic morphology, axonal guidance and neuronal development, which expression were reverted by treatment in APP/PS1 mice to the level observed in NTG mice. Western blot analysis in cortico‐hippocampal brain region of APP/PS1 mice confirmed that treatment increased signaling molecules involved in IGF‐1/insulin pathway, mitochondrial biogenesis, oxidative stress protection, autophagy and synaptic function.ConclusionOverall, our data suggest that long‐term treatment with MCI inhibitors is safe and efficacious in restoring cognitive function and preventing degeneration in symptomatic APP/PS1 mice. Therefore, partial MCI inhibitors represent a promising therapeutic approach to ameliorate AD and promote healthy aging.

AbstractBackgroundAlzheimer’s Disease (AD) has no effective treatments, and recent clinical trials focused on prevention of amyloid beta (Ab) production have consistently failed. Alternative approaches are urgently needed. We developed small molecules partial mitochondrial complex I (MCI) inhibitors and demonstrated that their application prevents the development of cognitive and behavior phenotype, improves LTP, reduces oxidative stress and inflammation, and restores glucose uptake and utilization in the brain in mouse models of familial AD. Efficacy could be monitored in vivo using translational biomarkers FDG‐PET, 31P NMR and blood biomarkers.MethodWe conducted extensive structure‐activity relationship (SAR) studies to characterize novel classes of compounds partial MCI inhibitors including a new lead compound C458. Target engagement, selectivity and specificity of new compounds were established using multiple in vitro and cellular assays including SPR, competitive and direct binding, proteomics and pull down experiments.ResultWe demonstrated that the lead C458 directly binds and competes with the FMN for binding to complex I. In primary neurons and mouse brain tissue, single dose administration of C458 activates AMPK‐a, autophagy, Sirtuins 1 and 3, and upregulate PGC‐1a leading to enhanced mitochondrial biogenesis. In vivo, chronic administration of C458 had no detectable toxicity at therapeutic doses. C458 has excellent oral bioavailability and blood–brain‐barrier penetration. C458 was remarkably clean in 250 kinase panel. Finally, in pre‐symptomatic APP/PS1 mice, treatment with C458 resulted in cognitive protection and improved long‐term potentiation after 6 months of chronic oral administration (25 mg/kg/day), decreased oxidative stress and inflammation. Furthermore, APP/PS1 mice treated with C458 showed a significant increase in metabolic rates and glucose brain uptake and utilization detected with translational FDG‐PET imaging as well as an enhancement of ATP production in the brain measured in vivo with 31P NMR.ConclusionMechanistic studies demonstrate that MCI inhibitors induce protective stress response increasing mitochondrial biogenesis and turnover, augmenting cellular energetics and the protection against oxidative stress, and engage other mechanisms that intersect with the pathways involved in longevity and health extension. Our studies demonstrate that modulation of MCI activity using novel FMN MCI inhibitors improves bioenergetics in the brain and averts cognitive decline in Alzheimer’s Disease representing novel therapeutic approach.

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: < 6 cycles, II: 7-11 cycles and III: >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 < =6 cycles or >=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.

Abstract BACKGROUND With increasing studies reporting on the molecular profiling of meningiomas, there is a need to harmonize language used to capture clinical data across centers to ensure that molecular alterations are appropriately linked to clinical variables of interest. Here the International Consortium on Meningiomas presents a final set of core and supplemental meningioma-specific Common Data Elements (CDEs) to facilitate comparative and pooled analyses. METHODS The generation of CDEs followed the four-phase process similar to other National Institute of Neurological Disorders and Stroke (NINDS) CDE projects: development/discovery based on data from published and ongoing meningioma trials, internal validation, external validation including presentation of our data form at the Society for Neuro-Oncology previously, and distribution. RESULTS We developed a set of CDEs organized into patient- and tumor-level modules. In total, the Consortium identified 16 core CDEs (9 patient-level and 7-tumour-level) e.g. age at index surgery, diagnosis of neurofibromatosis, prior chemotherapy or radiation, tumor location, extent of resection, recurrence, etc. An additional 15 supplemental CDEs were defined and described (8 patient-level and 7 tumour-level) e.g. race, cause of death, multiple tumors, tumor size, Simpson grade, second intervention, etc. These CDES are now made publicly available for dissemination and adoption. We also present a narrative review and analysis of recent and ongoing meningioma trials. CONCLUSIONS These CDEs provide a framework for discussion in the neuro-oncology community that will facilitating data sharing for collaborative research projects and aid in developing a common language for comparative and pooled analyses. The CDEs are intended to be dynamic parameters that evolve with time and The Consortium welcomes international feedback for further refinement and implementation of these CDEs.

Abstract Glioblastoma (GBM) is the one of the most aggressive and common primary brain malignancies, with a poor median overall survival of less than 15 months. While the immune system is activated and brain-resident microglia and blood-derived macrophages combat the tumor, the tumor can convert some microglia and macrophages to instead exhibit an immune-suppressive phenotype. These co-opted immune cells are thereby termed ‘glioma-associated microglia and macrophages’ (GAMMs), as they allow for continued tumor growth. However, limited clinical data has been collected to understand this phenomenon. As a result, we have collected spatially-distributed image-localized biopsies from a cohort of patients and performed RNA sequencing on each sample. Correlations between normalized RNA counts of genetic markers for macrophages (i.e., CD68, CD163), tumor populations (i.e., SOX2, OLIG2), and key cell functions (i.e., KI67, CASP3) were analyzed. To further investigate the temporal effects that GAMMs have on GBM growth, we proposed the Proliferation-Invasion-Macrophage (PIM) model. This system of partial differential equations incorporates the proliferative and invasive behavior of GBM, as well as populations for both ‘healthy’ and ‘glioma-associated’ macrophages. By exploring the parameter space, we classified the various dynamics of tumor progression and how they relate to the immune response. With further insights of the interactions between GBM and macrophage populations, we can begin to parameterize the model on a patient-specific basis and provide insights to personalized immunotherapies and other novel immune-targeted treatments.

Abstract Incidence rates for endometrial cancer (EC) are rising, particularly in postmenopausal and obese women. Our previous work has showed that the uterine and vaginal microbiome distinguishes patients with EC from those without. We now examine the impact of patient factors (such as menopause status, body mass index, and vaginal pH) in the microbiome in the absence of EC and how these might contribute to the microbiome signature in EC. We find that each factor independently alters the microbiome and identified postmenopausal status as the main driver of a polymicrobial network associated with EC (ECbiome). Of the 17 taxa we found enriched in EC patients, 8 were also enriched by postmenopause. Because postmenopausal status is a main risk factor for endometrial cancer, this system can be thought of as an ecological succession towards a disease state. Organisms within the ECbiome have been previously identified as polymicrobial associations in chronic soft tissue infections, ulcers, morbid obesity, and bacterial vaginosis. This suggests that this microbiome network is likely involved in mechanisms of host disease. Within the ECbiome, Porphyromonas somerae stands out because of its very significant and specific association with EC (p = 5.73E-6; Q = 0.009). We had previously identified this species as significantly associated with EC, and hereby validate that finding. Because the association of P. somerae with EC was robust and specific enough to potentially be considered as a biomarker for the disease (AUC 76.7%, CI: 67.9-85.5%), we developed a P. somerae-specific qPCR assay to detect this species in vaginal swabs. This becomes of particular interest because the lower tract and uterine microbiome are significantly correlated in these patients (p = 0.01), indicating that the vaginal microbiome can be used as a proxy for the uterine environment in EC. In agreement with the 16S rRNA gene sequencing data, P. somerae was detected significantly more frequently in vaginal swabs of patients with EC than those without EC (p = 3.02E-7). Overall, the test achieved a sensitivity of 74% and specificity of 63%, with a positive predictive value of 0.86 for obese and postmenopausal patients. In summary, we identify Porphyromas somerae presence as the most predictive microbial marker of EC, and we confirm this using targeted qPCR, which could be of use in detecting EC in high-risk, asymptomatic women. Given the established pathogenic behavior of P.somerae, we have also explored mechanistic routes through which this microbe and associated consortia may be involved in the mechanisms of disease. Citation Format: Marina Walther-Antonio, Dana Walsh, Alexis Hokenstad, Jun Chen, Jayeun Sung, Gregory Jenkins, Nicholas Chia, Heidi Nelson, Andrea Mariani. Postmenopause as a key factor in the composition of the Endometrial Cancer Microbiome (ECbiome): Putative role of Porphyromonas somerae in the disease [abstract]. In: Proceedings of the AACR Special Conference on the Microbiome, Viruses, and Cancer; 2020 Feb 21-24; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2020;80(8 Suppl):Abstract nr PR09.

Abstract Background: Tumor infiltrating lymphocytes (TILs) play an important, but incompletely understood role in chemotherapy response and prognosis. In breast cancer, there appear to be distinct immune responses by subtype, but most studies have used limited numbers of protein markers or bulk sequencing of RNA to characterize immune response, in which spatial organization cannot be assessed. Methods: To identify immune phenotypes of Basal-like vs. Luminal breast cancer we used the GeoMx® (NanoString) platform to perform digital spatial profiling (DSP) of immune-related proteins in tumor whole sections and tissue microarrays (TMA). Visualization of CD45, CD68, or pan-Cytokeratin by immunofluorescence was used to select regions of interest (ROIs) in formalin-fixed paraffin embedded tissue sections. 44 antibodies representing stromal markers and multiple immune cell types were applied to quantify the tumor microenvironment. Results: In whole tumor slides, immune hot spots (CD45+) had increased expression of many immune markers, suggesting a diverse and robust immune response. In epithelium-enriched areas, immune signals were also detectable and varied by subtype, with Regulatory T cell (Treg) markers (CD4, CD25, FOXP3) being higher in Basal-like vs. Luminal breast cancer. Extending these findings to TMAs with more patients (n=75), we confirmed subtype-specific immune profiles, including enrichment of Treg markers in Basal-likes. Conclusion: This work demonstrated that immune responses can be detected in epithelium-rich tissue, and that TMAs are a viable approach for obtaining important immunoprofiling data. In addition, we found that immune marker expression is associated with BC subtype, suggesting possible prognostic or targetable differences. Citation Format: Andrea Walens, Linnea T. Olsson, Xiaohua Gao, Alina M. Hamilton, Erin L. Kirk, Stephanie M. Cohen, Bentley R. Midkiff, Yongjuan Xia, Mark E. Sherman, Nana Nikolaishvili-Feinberg, Katherine A. Hoadley, Melissa A. Troester, Benjamin C. Calhoun. Protein-based immune profiles of basal-like vs luminal breast cancers [abstract]. In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr PO-090.

Background: Accumulation of hyperphosphorylated tau (pTau) protein is associated with synaptic dysfunction in Alzheimer’s disease (AD). We previously demonstrated that neuroprotection in familial mouse models of AD could be achieved by targeting mitochondria complex I (MCI) and activating the adaptive stress response. Efficacy of this strategy on pTau-related pathology remained unknown. Objective: To investigate the effect of specific MCI inhibitor tricyclic pyrone compound CP2 on levels of human pTau, memory function, long term potentiation (LTP), and energy homeostasis in 18-month-old 3xTg-AD mice and explore the potential mechanisms. Methods: CP2 was administered to male and female 3xTg-AD mice from 3.5–18 months of age. Cognitive function was assessed using the Morris water maze. Glucose metabolism was measured in periphery using a glucose tolerance test and in the brain using fluorodeoxyglucose F18 positron-emission tomography (FDG-PET). LTP was evaluated using electrophysiology in the hippocampus. The expression of key proteins associated with neuroprotective mechanisms were assessed by western blotting. Results: Chronic CP2 treatment restored synaptic activity in female 3xTg-AD mice; cognitive function, levels of synaptic proteins, glucose metabolism, and energy homeostasis were improved in male and female 3xTg-AD mice. Significant reduction of human pTau in the brain was associated with increased activity of protein phosphatase of type 2A (PP2A), and reduced activity of cyclin-dependent kinase 5 (CDK5) and glycogen synthase kinase 3β (GSK3β). Conclusion: CP2 treatment protected against synaptic dysfunction and memory impairment in symptomatic 3xTg-AD mice, and reduced levels of human pTau, indicating that targeting mitochondria with small molecule specific MCI inhibitors represents a promising strategy for treating AD.

Abstract Background Atrial fibrillation (Afib) leads to beat-to-beat variability in cycle length; however, whether there is associated beat-to-beat variability in the tricuspid annulus (TA) dimensions or variability in the time in cardiac cycle when TA reaches maximal size is unknown. Purpose We aim to assess the beat-to-beat variability in the TA dimensions in Afib compared with sinus rhythm (SR). Methods Images were obtained from 58 patients (29 in Afib, 29 in SR) undergoing either 3D TTE or TEE examination. We measured TA in 3–6 cardiac cycles per patient using commercially available software (TomTec 4MV). Results Median absolute difference in maximal TA area over 3–6 cardiac cycles was 1.60 cm2 (range 0.35 cm2 to 4.08 cm2) in Afib vs. 1.17 cm2 (range 0.32 cm2 to 2.19 cm2) in SR, p=0.0063. Median absolute difference in the maximal circumference was 0.79 cm (range 0.09 cm to 2.2 cm) in Afib vs 0.54 cm (range 0.12 cm to 1.43 cm) in SR, p=0.0175. A total of 118 cardiac cycles were analyzed in patients in SR and 147 in Afib. Timing of maximal TA area was most commonly recorded at end-diastole (80–100% of the R-R interval) in 62% of cycles in SR; however, it was distributed over a broad range in Afib, p<0.0001, [Figure]. Conclusion Afib leads to significant beat-to-beat variability in the maximal TA area, minimal TA area, maximal TA circumference, and in the time of maximal TA area. These findings suggest that accurate assessment of TA dimensions should be based on continuous tracking of the TA over several cardiac cycles, especially in patients with Afib. These observations have significant implications for device sizing in percutaneous tricuspid valve interventions. Timing of Maximal TA Area Funding Acknowledgement Type of funding source: None