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Abstract INTRODUCTION Combining Alzheimer's disease blood biomarkers may improve prediction of amyloid positivity (A+) compared with single biomarkers. METHODS Logistic regression models using plasma phosphorylated tau 217 (p‐tau217), amyloid beta (Aβ) 42, and Aβ40 were developed in cognitively impaired (CI) participants from Mayo Clinic Rochester (MCR) and validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) and Mayo Clinic Florida (MCF) cohorts. Performance was measured by area under the curve (AUC) and Probability of Amyloid Positivity Score (PAPS). RESULTS Plasma p‐tau217 alone showed high AUC (95% confidence intervals) across cohorts MCR, 0.928 (0.900–0.953); ADNI, 0.938 (0.915–0.959); MCF, 0.935 (0.893–0.970). Adding Aβ42 to regression models yielded marginal model improvement MCR, 0.940 (0.915–0.963); ADNI, 0.945 (0.922–0.965); MCF, 0.960 (0.925–0.986). Utilization of two cutpoints (≥ 90% sensitivity and specificity), yielded ≤ 10% intermediate results for p‐tau217, and ≤ 8% for p‐tau217+Aβ42. Addition of Aβ40 did not improve models’ performance. DISCUSSION An immunoassay‐based p‐tau217 PAPS model accurately predicted amyloid positivity across independent CI cohorts and achieved confirmatory‐test performance with two cutpoints. The added value of Aβ42 was modest and cohort dependent, supporting the potential of use of p‐tau217–based PAPS in clinical workflows.

ABSTRACT Retrospective cohort study to investigate which factors most reliably distinguish incidental GAD65‐antibodies (iGAD65) from true GAD65‐antibody neurological disease (tGAD65). 167 adults with positive serum and CSF GAD65‐antibodies (> 0.02 nmol/L by radioimmunoassay) were classified as tGAD65 or iGAD65, with diagnostic performance of paraclinical parameters compared in discovery and validation cohorts. CSF GAD65‐antibody titers ≥ 1 nmol/L performed best in discovery (AUC 0.956) and validation (AUC 0.949; p = 0.814), with 89.7% sensitivity and 94% specificity for identifying tGAD65. Serum titers > 20 nmol/L and indices of intrathecal synthesis showed lower discriminative ability. Our finding aims to reduce misdiagnosis and identify potential immunotherapy‐responsive diseases.

Background: Developing students' ability to transfer physiological principles across contexts remains challenging in physiology education. Comparative framing (CF), in which physiological principles are presented through nonhuman examples, may facilitate transfer by organizing reasoning around variation in environmental challenges and physiological function. However, whether benefits arises from CF itself or engagement with physiologically rich examples remains unclear. Methods: A between-semester controlled design was conducted across undergraduate (n = 99) and graduate (n = 43) exercise physiology courses. Semesters were randomly assigned to CF or human-centered framing (HF), with instructional content and structure held constant. Primary outcomes were parallel, non-identical transfer assessments administered before instruction, immediately afterward, and at delayed follow-up. Secondary outcomes included a content equivalence assessment, a two-tier conceptual reasoning measure, and mental effort ratings. Reflective writing was analyzed using inductive thematic analysis. Results: Both conditions demonstrated comparable content acquisition. Significant Framing x Time interactions were observed for Systems and Adaptive Integration and Translational Application, but not Mechanistic Reasoning. The benefits of CF were concentrated in reasoning tasks requiring context-dependent interpretation and integration of physiological principles and became more pronounced at delayed follow-up. Reflective writing analyses converged with the quantitative findings, with the largest thematic differences observed in adaptive versus pathological reasoning. Conclusion: CF produced more durable physiological reasoning despite comparable content learning, suggesting that its educational value extends beyond engaging students with physiologically rich examples alone. Organizing physiology around context, function, and physiological trade-offs may provide a framework for promoting transfer and context-dependent physiological reasoning.

BACKGROUND. Dementia is a rapidly expanding public health problem with major socio-economic burden. Insulin resistance (IR) is a prevalent but modifiable risk factor for dementia, yet its effects on brain structure, functional connectivity, and metabolism remain incompletely understood. METHODS. Regional brain glucose uptake (PET), volumes (MRI), functional connectivity (fMRI), and cognition (NIH Toolbox) was measured in 72 adults with or without markers of IR. To evaluate reversibility of IR-associated brain deficits, forty older adults with IR were randomized to forty weeks of metformin or placebo, and brain measures were repeated. As a proof-of-concept experiment, we developed a conditional brain-specific insulin receptor knockout mouse and assessed brain mitochondrial function and cognition. RESULTS. In older adults with markers of IR is associated with diminished total and regional brain volumes in areas critical for neuronal connectivity, memory, and learning, including cerebral white matter and the hippocampus. Reduced functional connectivity between brain regions detrimental for cognition was also noted. Further, we demonstrated that ATP production, essential for neuronal connectivity, was diminished in neuron-specific insulin receptor knockout mice accompanied by deficits in hippocampal- and prefrontal-dependent tasks. Forty weeks of metformin improved systemic insulin sensitivity concurrent to preserved brain glucose uptake, volume, and functional connectivity within specific regions central to decision-making and learning. Metformin was also associated with an improved composite measure of processing speed and working memory. CONCLUSION. These findings highlight IR as a key regulator of brain metabolism and support the concept that insulin sensitization can prevent neurobiological deficits in older people with IR.

ABSTRACT Background Primary sclerosing cholangitis (PSC) and primary biliary cholangitis (PBC) are rare, chronic cholestatic liver diseases with heterogeneous progression and limited biomarkers of disease biology. Epigenetic age acceleration has been demonstrated in PSC and PBC, suggesting accelerated biological aging. DNA methylation–derived telomere length (DNAmTL) reflects replicative aging and cellular turnover, but its role in PSC and PBC remains unclear. We aimed to evaluate DNAmTL in PSC and PBC and its association with disease severity. Methods We analysed and compared DNAmTL and age‐adjusted DNAmTL among patients with PSC ( n = 474) versus PSC controls ( n = 484) and patients with PBC ( n = 291) versus PBC controls ( n = 291). Associations with clinical outcomes were assessed using nonparametric tests and multivariable logistic regression models. Correlations with primary sclerosing cholangitis Risk Estimate Tool (PREsTO) score and epigenetic age acceleration (AgeAccelGrim) were evaluated using linear regression. Results Patients with PSC demonstrated significantly shorter age‐adjusted DNAmTL compared with controls (median −0.036 vs. 0.016, p < 0.001). Patients with PBC also exhibited reduced DNAmTL relative to controls (median 6.814 vs. 6.885, p < 0.001). Within PSC, shorter DNAmTL was associated with cirrhosis (OR 0.21, 95% CI 0.06–0.69, p = 0.013) and advanced disease (OR 0.20, 95% CI 0.06–0.67, p = 0.009). Shorter DNAmTL was also observed in hepatic decompensation and hepatobiliary malignancy, including cholangiocarcinoma. DNAmTL inversely correlated with PReSTO score ( p < 0.001). DNAmTL was strongly inversely correlated with AgeAccelGrim in both PSC and PBC ( p < 0.001). Conclusion Cholestatic liver diseases are associated with shortened DNAmTL, which independently correlates with disease severity in PSC. Together with epigenetic age acceleration, these findings support a model of accelerated biological aging in PSC and PBC characterized by converging signatures of accelerated biological aging that may contribute to progressive biliary injury and fibrosis.

Abstract INTRODUCTION Cognitive characterization is increasingly important for Alzheimer’s disease treatment decisions, highlighting the need for scalable cognitive assessment. We evaluated the diagnostic accuracy of a remote self-administered cognitive screening battery, Mayo Test Drive (MTD), across clinically and biologically defined groups. METHODS In this prospectively designed study, 2,131 cognitively unimpaired (CU) and 118 cognitively impaired participants, including 96 with mild cognitive impairment and 22 with mild dementia (MCI/DEM), were recruited from observational cohort studies and completed MTD remotely (mean age=70 years, SD=12; 48% male; mean education=16 years, SD=2). Clinical diagnoses were determined by multidisciplinary consensus independently of MTD. Amyloid- and tau-PET were available for 1,224 participants. Logistic regression estimated associations between MTD and CU versus MCI/DEM, CU A-versus MCI/DEM A+, and A-T-versus A+T+. MTD diagnostic accuracy was compared with person-administered cognitive measures. Sensitivity and specificity across score types and comparison groups were examined. RESULTS MTD showed excellent discrimination of CU versus MCI/DEM (AUC=.89; 95% CI=.87-.92), and discriminability remained high for CU versus MCI (AUC=.88; 95% CI=.85-.92). Discriminability was highest when comparing CU A- and MCI/DEM A+ groups (AUC=.95; 95% CI=.92-.97). MTD outperformed estimated MMSE (p=.02) and was comparable to Mayo-PACC (p=.71) for A-T-versus A+T+ discrimination (AUC=.76; 95% CI=.71-.81). Combining both raw score and normative score cutoffs helped balance sensitivity and specificity relative to use of either cutoff in isolation. A two-stage interpretation framework further improved sensitivity while maintaining clinically useful specificity and informed development of an interpretation guide. DISCUSSION A remote self-administered digital cognitive assessment showed strong diagnostic accuracy for detecting MCI and mild dementia in a large, primarily population-based cohort. The remote, self-administered MTD composite also showed comparable performance to established in-person cognitive composites for differentiating amyloid and tau-defined biomarker groups. Remote self-administered digital cognitive assessment may complement existing cognitive evaluation approaches and support scalable cognitive characterization. Highlights Remote self-administered cognitive assessment showed strong differentiation of cognitively unimpaired and cognitively impaired participants. Diagnostic accuracy improved when amyloid PET biomarker status was incorporated. Remote assessment demonstrated sensitivity to amyloid and tau PET-defined Alzheimer’s disease. Performance was comparable to established in-person composites and better than an in-person mental status screening measure. Digital cognitive screening may support scalable treatment and clinical trial workflows.