Citations

Abstract Limbic predominant age‐related TDP‐43 encephalopathy neuropathologic change (LATE‐NC) is highly prevalent in late life and a common co‐pathology with Alzheimer's disease neuropathologic change (ADNC). LATE‐NC is a slowly progressive, amnestic clinical syndrome. Alternatively, when present with ADNC, LATE‐NC is associated with a more rapid course. With the emergence of anti‐amyloid therapeutics, discrimination of LATE‐NC from ADNC is critical and will lead to greater clinical recognition of amnestic patients without ADNC. Furthermore, co‐pathology with LATE‐NC may influence outcomes of these therapeutics. Thus there is a need to identify patients during life with likely LATE‐NC. We propose criteria for clinical diagnosis of LATE as an initial framework for further validation. In the context of progressive memory loss and substantial hippocampal atrophy, criteria are laid out for probable (amyloid negative) or possible LATE (amyloid biomarkers are unavailable or when amyloid is present, but hippocampal neurodegeneration is out of proportion to expected pure ADNC). Highlights Limbic‐predominant age‐related TDP‐43 encephalopathy (LATE) is a highly prevalent driver of neuropathologic memory loss in late life. LATE neuropathologic change (LATE‐NC) is a common co‐pathology with Alzheimer's disease neuropathologic change (ADNC) and may influence outcomes with emerging disease‐modifying medicines. We provide initial clinical criteria for diagnosing LATE during life either when LATE‐NC is the likely primary driver of symptoms or when observed in conjunction with AD. Definitions of possible and probable LATE are provided.

Background: Disparities in postoperative nausea and vomiting and its prophylaxis may exist based on race, ethnicity, and socioeconomic status. The objective was to evaluate whether patients from racial and ethnic minority groups and patients from lower socioeconomic status backgrounds received less appropriate postoperative nausea and vomiting prophylaxis and experienced higher rates of postoperative and postdischarge nausea and vomiting. Methods: This retrospective cohort study included 23,333 adults who underwent major surgeries (total knee arthroplasty, cholecystectomy, hysterectomy, and prostatectomy) from 2017 to 2022 in a single, multistate hospital system. Outcomes included prophylactic antiemetic administration according to consensus guidelines, as well as the occurrence of postoperative and postdischarge nausea and vomiting, with predictors being patient race and ethnicity, payor type, and community-level socioeconomic status. Results: About 45% (n = 10,407) of patients received guideline-recommended postoperative nausea and vomiting prophylaxis. Regression models showed statistically significant differences in appropriate postoperative nausea and vomiting prophylaxis by race and ethnicity, as well as community-level socioeconomic status, with Black (odds ratio, 0.76; 95% CI, 0.63 to 0.92) and Hispanic (odds ratio, 0.82; 95% CI, 0.70 to 0.96) patients having lower odds of receiving appropriate antiemetic prophylaxis compared to non-Hispanic White patients. Approximately 11% of patients (n = 2,522) experienced postoperative nausea and vomiting in the postanesthesia care unit, and about 19.5% of patients (n = 4,540) experienced postdischarge nausea and vomiting. No significant differences in postoperative nausea and vomiting were observed in the postanesthesia care unit among different groups; however, Black, Hispanic, other races and ethnicities, and patients with Medicaid had higher odds of postdischarge nausea and vomiting. Conclusions: The study identified differences in appropriate postoperative nausea and vomiting prophylaxis by race and ethnicity, as well as community-level socioeconomic status. There were no differences in postoperative nausea and vomiting by the predictors, but there were higher odds of postdischarge nausea and vomiting by race and ethnicity and payor. This study underscores the importance of data stratification in quality measures to identify disparities in perioperative care; it can lead to changes in perioperative anesthetic management. Further research should explore these associations in a broader cohort and address potential confounding sources.

AbstractBackgroundAlzheimer’s disease (AD) missing heritability remains extensive despite numerous genetic risk loci identified by genome‐wide association or sequencing studies. This has been attributed, at least partially, to mechanisms not currently investigated by traditional single‐marker/gene approaches. Polygenic Risk Scores (PRS) aggregate sparse genetic information across the genome to identify individual genetic risk profiles for disease prediction and patient risk stratification. Recent advancements have pivoted on innovative approaches utilizing OMICS data to construct such risk scores.MethodWe employed a random forest algorithm to identify a list of gene candidates from bulk RNA sequencing data in prefrontal cortex from 565 AD brain samples (non‐Hispanic Whites, n = 399; Hispanics, n = 113; African American, n = 12) across six U.S. brain banks. Subsequently, we calculated their effect size on Braak staging using regression models to construct a polytranscriptomic risk score (PTRS). We employed two distinct models: “Ethnicity‐Agnostic” Model (randomly assigning samples to training and testing samples) and “Ethnicity‐Aware” Model (assigning NHW samples to training and Hispanics to testing sample). Analysis of variance and the receiver operating characteristics area under the curve (ROC AUC) was used to evaluate PTRS’s classification performances. We validated findings using the Religious Orders Study/Memory and Aging Project study (ROS/MAP, n = 1,095).ResultWe found a significant difference in PTRS between samples with low vs. high Braak stages (≤4 vs. ≥5, p = 1*E‐04; Figure 1 upper panel). AUC was found to be 79‐81%, consistently in both Ethnicity‐Agnostic and Ethnicity‐Aware models (Figure 1 lower panel). Finally, the PTRS in ROS/MAP yielded a similar classification performance (p = 2*E‐04, AUC = 77%).Conclusioncontrary to prior studies, we developed a PTRS with optimal transferability across ethnicities. This underscores the importance of developing novel tools to stratify and harmonize large brain repositories for AD.

AbstractBackgroundAlzheimer’s Disease (AD) presents complex molecular heterogeneity, influenced by a variety of factors including heterogeneous phenotypic, genetic, and neuropathologic presentations. Regulation of gene expression mechanisms is a primary interest of investigations aiming to uncover the underlying disease mechanisms and progression.MethodWe generated bulk RNA‐sequencing in prefrontal cortex from 565 AD brain samples (non‐Hispanic Whites, n = 399; Hispanics, n = 113; African American, n = 12) across six U.S. brain banks, and conducted differential gene expression and enrichment analyses. We sought to identify cross‐ancestry and ancestry‐specific differentially expressed genes (DEG) and pathways across Braak stages, adjusting for sex, age at death, and RNA quality metrics. We validated our findings using the Religious Orders Study/Memory and Aging Project study (ROS/MAP, n = 1,095). Lastly, we validated top DEG using publically‐available human single‐nucleus RNA sequencing (snRNAseq) data.ResultAD‐known genes VGF (LFC = ‐0.661, padj = 3.78) and ADAMTS2 (padj = 1.21) were consistently differentially expressed across statistical models, ethnic groups, and replicated in ROS/MAP (Figure 1). Genes from the heat shock protein (HSP) family, e.g. HSPB7 (padj = 3.78), were the top DEG, also replicated in ROS/MAP. Ethnic‐stratified analyses prioritized TNFSF14 and SPOCD1 as top DEG in Hispanic samples. Gene set enrichment analysis highlighted several significantly pathways, including “TYROBP causal network in microglia” (WP3945; padj = 1.68) and “Alzheimer Disease” (WP5124; padj = 4.24). snRNAseq validated several DEG, including VGF downregulated in neurons (padj = 1.1).ConclusionTo our knowledge, this is the largest diverse transcriptome study for AD in post‐mortem tissue. We identified perturbated genes and pathways resulting in cross‐ethnic and ethnic‐specific findings, ultimately highlighting the importance of diversity in AD investigations.

AbstractBackgroundFrontotemporal dementia (FTD) is a diverse spectrum of neurodegenerative disorders impacting the frontal and temporal lobes, primarily manifesting as behavioral and/or language issues. Accurate diagnosis is crucial for effective management, potential treatment, and care planning. While speech analysis has shown promise in detecting cognitive markers of Alzheimer’s disease (AD), its exploration in FTD is limited. This study examined if linguistic features from remote, app‐based speech collection can differentiate healthy controls (HC) from individuals with behavioral variant FTD (bvFTD), the most common FTD variant.MethodParticipants included 15 bvFTD (mean age = 64.3, SD = 9.1 years) and 19 HC (mean = 55.8, SD = 14.2) from the ALLFTD Consortium. Participants were prompted to talk freely about a happy memory; audio recordings were collected with the ALLFTD Mobile App, transcribed using OpenAI’s large Whisper model, and manually quality‐checked. We extracted 98 linguistic features using our in‐house pipeline (Fig 1). Features were selected for classification analysis if they differed between groups based on a MANCOVA adjusted for age, sex/gender, and education, with feature reduction in case of collinearity. We then determined if these features could classify groups using multi‐variable logistic regression models, and subsequently calculated its ROC‐AUC score to measure sensitivity/specificity.ResultBased on the MANCOVA, three features were selected for classification analysis: average seconds of non‐speech (i.e., silence), ratio of number of complex nominal clauses to total clauses, and number of restarts (i.e., disfluency). The logistic model showed that this set could distinguish between groups (Omnibus p = .001; Nagelkerke R2 = .499), and their saved prediction probabilities indicated a ROC‐AUC score of 84.8% accuracy (Fig 2).ConclusionLeveraging a flexible speech capture app with remote accessibility and state‐of‐the‐art automated speech analysis, we identified linguistic features that can distinguish HC from bvFTD. This approach presents a promising screening tool for detecting bvFTD, offering quick, easily administered assessments with the potential for scalable implementation outside of clinical settings. Next steps are to investigate linguistic changes in presymptomatic mutation carriers and compare speech profiles between FTD and AD. These results hold meaningful implications for addressing current challenges in FTD therapeutics, potentially offering sensitive outcome measures for clinical trials and future tools for personalized cognitive assessment and long‐term monitoring.

Abstract Objective There is a dearth of research on neuropsychological functioning and the validity of assessment measures in American Indian (AI) older adults. The present study sought to comprehensively examine neuropsychological functioning in cognitively normal AI older adults in the southwestern USA (i.e., Arizona). Participants and Methods Ninety predominantly female participants (45 AIs and 45 non-Hispanic Whites) aged 44 years and older (mean age of mid-60s) were matched on age, decade, gender, and assessment battery. Participants were enrolled in the Arizona Alzheimer’s Disease Center database. Data obtained included demographics, medical history, psychiatric variables, and raw neuropsychological scores. Analyses included ANCOVAs, chi-square, and stepwise multiple regression. Results AIs generally had lower performance across all neuropsychological measures compared with matched Whites, even after controlling for demographic variables. Performance between groups was most discrepant on several measures of global cognition, attention, executive functioning, and language, while performance was statistically comparable on measures of memory and visuospatial abilities. The AI group had higher proportions of diabetes and obesity, but results showed that higher cardiovascular risk was not predictive of lower cognitive performance with the exception of the Clinical Dementia Rating Scale–Sum of Boxes. Conclusions Findings suggest that older AIs perform lower on many neuropsychological measures compared with non-Hispanic Whites, even after controlling for demographic variables. This suggests that other factors, including language, culture, educational quality, overall health, socioeconomic status, and level of acculturation may be impacting test scores and need to be considered when assessing and diagnosing older AIs.

Menopause marks a significant transition in a woman’s life, typically occurring between the ages of 46 and 55 years, characterized by the cessation of menstruation and a decline in ovarian function. This article provides a comprehensive overview of menopause, examining its physiological, psychological, and social dimensions. It explores the hormonal changes, including decreased levels of estrogen and progesterone, and how these changes contribute to common symptoms such as hot flashes, sleep disturbances, and mood fluctuations. Additionally, it highlights contemporary approaches to management, including lifestyle modifications and hormonal and non-hormonal therapies. By synthesizing current research and clinical insights, this overview aims to enhance understanding and support for women navigating menopause and the healthcare professionals assisting them.

Abstract The immune system is a key player in the onset and progression of neurodegenerative disorders. While brain resident immune cell‐mediated neuroinflammation and peripheral immune cell (eg, T cell) infiltration into the brain have been shown to significantly contribute to Alzheimer's disease (AD) pathology, the nature and extent of immune responses in the brain in the context of AD and related dementias (ADRD) remain unclear. Furthermore, the roles of the peripheral immune system in driving ADRD pathology remain incompletely elucidated. In March of 2023, the Alzheimer's Association convened the Alzheimer's Association International Conference (AAIC), Advancements: Immunity, to discuss the roles of the immune system in ADRD. A wide range of topics were discussed, such as animal models that replicate human pathology, immune‐related biomarkers and clinical trials, and lessons from other fields describing immune responses in neurodegeneration. This manuscript presents highlights from the conference and outlines avenues for future research on the roles of immunity in neurodegenerative disorders. Highlights The immune system plays a central role in the pathogenesis of Alzheimer's disease. The immune system exerts numerous effects throughout the brain on amyloid‐beta, tau, and other pathways. The 2023 AAIC, Advancements: Immunity, encouraged discussions and collaborations on understanding the role of the immune system.

Background and Objectives: Faculty members who are underrepresented in medicine (URM) may benefit from mentorship that is designed specifically to meet their unique needs and is focused on improving their career pathways in academic medicine. The Underrepresented in Medicine Mentorship Program (URM-MP) is an academic society-based mentorship program that pairs early career URM faculty with mid- to late-career faculty specifically trained to address URM issues. Methods: During the first 3 years of the program, mentors received web-based training on addressing oppression and marginalization of URM faculty in academic medicine. Mentor and mentee pairs met monthly for 1 year and received support from program leaders through web-based check-in meetings twice per year. Pre- and postassessment data were collected from mentees to help identify their needs and evaluate their experiences. Check-in meetings provided feedback about the program. Results: Fifty-seven URM faculty participated in years 1, 2, and 3. Results of pre- and postsurveys showed that mentees significantly improved their self-perceived effectiveness to enhance their careers, to find resources to perform their jobs, and to navigate the challenges of advancing in academic medicine. Qualitative analyses revealed themes of appreciation for mentors supporting their unique experiences as URM faculty. Check-in feedback further reinforced the relationship aspects of the mentorship as a significant benefit of this program. Conclusions: Society-based mentorship that involves specific training for mentors and fosters trusting mentor-mentee relationships can improve URM faculty’s confidence regarding their ability to succeed in academic medicine.