Citations

AbstractBackgroundHomozygosity for the rare APOE3‐Christchurch (APOE3Ch) variant, encoding for apoE3‐R136S (apoE3‐Ch), was linked to resistance against an aggressive form of familial Alzheimer’s disease (AD). Carrying two copies of APOE3Ch was sufficient to delay autosomal AD onset by 30 years. This remarkable protective effect makes it a strong candidate for uncovering new therapies against AD. Thus, we aim to explore the protective mechanisms of APOE3Ch against AD onset, to inform therapy.MethodsWe used both amyloid mouse models and human induced‐pluripotent stem cells (iPSC) models to address this aim. We examined whether astrocytic expression of apoE3‐Ch through an AAV‐mediated approach can mitigate AD‐related pathology and toxicity in early (3.5 months old) and late (8 months old) amyloid pathology in 5xFAD mice. We also used isogenic iPSC lines carrying the APOE3Ch variant that were generated from APOE3 parental lines using CRISPR/Cas9 technology. Biochemical and biophysical properties of both recombinant and native apoE3‐Ch lipoprotein particles secreted by iPSC‐derived astrocytes have been investigated using different techniques including heparin affinity chromatography and size‐exclusion chromatography.ResultsWe investigated the impact of astrocytic apoE3‐Ch on amyloid pathology and toxicity in 3.5‐month‐old and 8‐month‐old 5xFAD mice. We confirmed successful AAV‐mediated overexpression of apoE3 and apoE3‐Ch in astrocytes. We found apoE3‐Ch specific changes in protein levels and solubility. Astrocytic expression of apoE3‐Ch reduced soluble Aβ oligomer levels and ameliorated ER stress response compared to apoE3 in the 8‐month‐old 5xFAD mice. Furthermore, our findings showed altered biochemical properties of HEK cell‐derived apoE3‐Ch protein, including decreased heparin binding, altered receptor binding, and enhanced lipid accepting capacity. We also characterized APOE3Ch iPSC‐derived cell models, including iPSC‐derived astrocytes, neurons, and cerebral organoids, and found differences between APOE3 and APOE3Ch at the functional level in these iPSC models.ConclusionsThe proposed work and the developed methods to study apoE3‐Ch promises to provide new insights into the possible roles of this rare, mutated protein in protecting against AD, offering new therapeutic avenues for AD treatment.

AbstractBackgroundThe newly proposed criteria by the AA working group incorporates both biological and clinical stages to characterize the progression of AD. In this study, we aim to evaluate the agreement between these two complementary systems.MethodsUsing 188 participants from McGill TRIAD and 139 from the HEAD cohorts, we categorized participants into biological (0‐4) and clinical (0‐4) stages using amyloid PET, tau PET(MK‐6240), and clinical measures as described by the working group. Participants were then stratified into three categories: congruent (clinical = biological), higher in the biological stage (clinical < biological), and higher in the clinical stage (clinical > biological). In the TRIAD cohort, we further compared these groups for age, sex, years of education, vascular burden (WMH), microglial activation (PBR scan), Astrocyte reactivity (GFAP), amyloid load, tau load, and NPI‐Q scores using Welch two‐sided t‐test with FDR multiple comparison correction.ResultsIn the TRIAD cohort, 34% of participants were congruent, 24.5% had a higher clinical stage, and 41.5% had a higher biological stage. Meanwhile in the HEAD cohort 68.2% were congruent, 20.7% had a higher clinical stage, and 17% had a higher biological stage. TRIAD participants with a higher clinical stage had lower education (P = 0.02), more neuropsychiatric symptoms (P = 0.03), and a higher vascular burden (P = 0.03) (Table 1). As expected, people with higher biological stage had more amyloid(P<0.001), tau(P<0.001), and astrocyte reactivity(P<0.001) (Table 1, Figure 2).ConclusionsOur findings highlight important discordance between clinical and biological stages, which could be partially explained by cognitive reserve. This was supported by the protective effects of educational attainment in participants with a higher biological stage. Vascular burden played a major role in the cognitive impairment of individuals with higher clinical stages. Future studies should replicate these findings in larger more representative population‐based cohorts.

Importance: Dermoscopy is increasingly recognized by skin cancer experts and professional leaders as an essential skill for physicians in dermatology and primary care. A substantial number of patients in both settings also receive care from physician assistants (PAs), who provide additional opportunities to evaluate patients with concerning skin lesions. Earning dermatology-specific credentials from the National Commission on Certification for PAs requires passing a written exam with dermoscopic content, and 77% of practicing PAs (all specialties) believe dermoscopy should be a standard element of their formal education. No published studies have identified precise learning objectives that would represent appropriate foundational proficiency in dermoscopy for PAs. Objective: We sought to identify common diagnoses with distinct dermoscopic features and delineate which of these represent appropriate proficiency expectations for early-career PAs in primary care and dermatology. Design, setting, and participants: A panel of 14 dermoscopists was assembled (8 dermatologists; 6 PAs), reflecting contributors to existing consensus statements on physician dermoscopy proficiency benchmarks, dermatologist-recommended competencies for PAs, and/or standardized test content for dermatology PAs. Panelists completed a modified Delphi consensus process involving electronic surveys and roundtable discussions. Main outcomes and measures: Consensus on which specific dermoscopic diagnoses reflect appropriate foundational proficiency expectations for PAs in both primary care and dermatology. Results: Twelve of 14 panelists (86%) reported using dermoscopy for over 12 years (mean: 15.5 y). All panelists completed 2 iterations of an electronic survey regarding 54 diagnoses, with 39 (72%) reaching a final consensus for inclusion in PA curricula and 15 (28%) being identified as non-priority items for early-career PAs. Panelists recommended 14 conditions for primary care PAs and 25 conditions for dermatology PAs. Conclusions and Relevance: Consensus achieved in this modified Delphi process identified diagnoses that represent pragmatic learning objectives to achieve foundational proficiency in dermoscopy for PAs in both primary care and dermatology. This list of validated objectives provides a consensus-based guide to help educators, supervising physicians, and professional leaders to cultivate specialty-appropriate dermoscopic proficiency among early-career PAs.

Abstract Genome-wide DNA methylation signatures correlate with and distinguish central nervous system (CNS) tumor types. Since the publication of the initial CNS tumor DNA methylation classifier in 2018, this platform has been increasingly used as a diagnostic tool for CNS tumors, with multiple studies showing the value and utility of DNA methylation-based classification of CNS tumors. A Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) Working Group was therefore convened to describe the current state of the field and to provide advice based on lessons learned to date. Here, we provide recommendations for the use of DNA methylation-based classification in CNS tumor diagnostics, emphasizing the attributes and limitations of the modality. We emphasize that the methylation classifier is one diagnostic tool to be used alongside previously established diagnostic tools in a fully integrated fashion. In addition, we provide examples of the inclusion of DNA methylation data within the layered diagnostic reporting format endorsed by the World Health Organization (WHO) and the International Collaboration on Cancer Reporting. We emphasize the need for backward compatibility of future platforms to enable accumulated data to be compatible with new versions of the array. Finally, we outline the specific connections between methylation classes and CNS WHO tumor types to aid in the interpretation of classifier results. It is hoped that this update will assist the neuro-oncology community in the interpretation of DNA methylation classifier results to facilitate the accurate diagnosis of CNS tumors and thereby help guide patient management.

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/Objectives: Adult hearing-impaired patients qualifying for cochlear implants typically exhibit less than 60% sentence recognition under the best hearing aid conditions, either in quiet or noisy environments, with speech and noise presented through a single speaker. This study examines the influence of deep neural network-based (DNN-based) noise reduction on cochlear implant evaluation. Methods: Speech perception was assessed using AzBio sentences in both quiet and noisy conditions (multi-talker babble) at 5 and 10 dB signal-to-noise ratios (SNRs) through one loudspeaker. Sentence recognition scores were measured for 10 hearing-impaired patients using three hearing aid programs: calm situation, speech in noise, and spheric speech in loud noise (DNN-based noise reduction). Speech perception results were compared to bench analyses comprising the phase inversion technique, employed to predict SNR improvement, and the Hearing-Aid Speech Perception Index (HASPI v2), utilized to predict speech intelligibility. Results: The spheric speech in loud noise program improved speech perception by 20 to 32% points as compared to the calm situation program. Thus, DNN-based noise reduction can improve speech perception in noisy environments, potentially reducing the need for cochlear implants in some cases. The phase inversion method showed a 4–5 dB SNR improvement for the DNN-based noise reduction program compared to the other two programs. HASPI v2 predicted slightly better speech intelligibility than was measured in this study. Conclusions: DNN-based noise reduction might make it difficult for some patients with significant residual hearing to qualify for cochlear implantation, potentially delaying its adoption or eliminating the need for it entirely.

In this case series, we present several examples from participants (2 patients and 1 healthy control) of a 12-week pilot feasibility study to create a digital phenotype of depression (unipolar or bipolar) through active and passive data collection from a smartphone and a wearable device combined with routine clinical care for mood disorders. The selected cases represent real clinical examples that highlight the intrinsic challenges that should be expected when conducting similar studies, including appropriate health data privacy protection, clinical standardization, and interindividual differences in levels of engagement and acceptability of active and passive data collection (ie, self-reported, behavioral, cognitive, and physiological data), particularly with patient-generated data in mobile apps, digital proficiency habituation, and consistent use of wearable devices. In the context of the rapidly growing use of digital technologies in psychiatry, anticipating challenges for the integration of personal mobile devices and smartphone mental health apps as aides to track specific aspects of depressive disorders is critical for a clinically meaningful digital transformation of mood disorders care.

Objective To characterise the changing trends in the pharmacological management of SLE in the USA between 2007 and 2023 as new treatment options emerged. Methods In a retrospective cohort study using data from OptumLabs Data Warehouse, we characterised the annual prevalent (ie, all) and incident (ie, new) use of antimalarials, glucocorticoids and immunosuppressive medications among patients with SLE from 2007 to 2023 and assessed for changing trends over time. Results We identified 19 122 adults with SLE; they were 51.2 (SD 16.1) years of age, 89% were female, 61.3% were White, 18.5% were Black and 13.1% were Hispanic. The proportion of prevalent users of antimalarials has decreased from 79.4% in 2007 to 77.2% in 2023 (p=0.0055), while the proportion of incident users fluctuated between a lowest 5.8% in 2021 and a highest 8.1% in 2008 (p=0.008). The proportion of prevalent users of glucocorticoids increased from 64.6% in 2007 to 66.7% in 2023 (p=0.0132), as did the proportion of incident users (12.4% in 2007 to 21.7% in 2023; p<0.0001). The use of cyclophosphamide (2.0% in 2007 to 0.4% in 2023, p<0.0001) has decreased; the use of mycophenolate mofetil (7.7% in 2007 to 10.3% in 2023, p<0.0001), rituximab (1.4% in 2007 to 2.1% in 2023, p<0.0001) and belimumab (0.8% in 2011 to 6.1% in 2023, p=0.0001) has increased. Conclusions Despite increasing availability of alternative treatment options, patients with SLE in the USA increasingly rely on glucocorticoid-based therapy. Efforts to improve the use of antimalarials and steroid-sparing immunosuppressants are needed.