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Abstract INTRODUCTION We standardized positron emission tomography (PET) data across multiple cohorts and tracers to characterize the frequency of amyloid and tau PET severity along the clinical continuum. METHODS Clinical stage was defined using cohort‐specific criteria and included cognitively unimpaired (CU), mild cognitive impairment (MCI), and dementia. Amyloid severity was staged using Centiloids (CL). Tau severity was staged using a hierarchical Braak‐based schema. The cumulative probabilities of PET‐based stages were estimated using ordinal logistic regressions. RESULTS Among 10,396 individuals (mean [standard deviation] age: 71.9 [7.1] years), amyloid levels ≥ 25 CL increased with age among CU and MCI, while amyloid levels ≥ 100 CL were most common in dementia. In 3295 with tau PET, tau severity increased with amyloid and clinical stage and showed complex associations with age. Within each clinical stage, the full spectrum of amyloid and tau PET severity was observed. DISCUSSION PET‐based staging revealed heterogeneous amyloid and tau burden along the clinical continuum. Highlights PET‐based staging is feasible across multiple cohorts and PET tracers. There is heterogeneity in amyloid and tau severity across the clinical spectrum. The frequency of amyloid and tau PET severity increased with clinical severity. The likelihood of tau PET severity differed by age, amyloid, and clinical severity.

Abstract Background Extensive evidence links cognition, tau, and neurodegeneration in Alzheimer's disease (AD). However, in U.S. POINTER imaging (a community‐recruited clinical trial cohort selected for high cardiovascular risk, ethnoracial diversity, and increased risk of cognitive decline and dementia) tau PET is more closely linked to cognition than in ADNI. Here, we further explore how ADNI and POINTER differ with respect to relationships between cross‐sectional AD biomarkers, cortical thickness, and different cognitive domains. Method U.S. POINTER imaging (Baseline; N = 775; 68.9±5.2 years, 62.8% female) and ADNI ( N = 405; 69.9±5.4 years, 58% female) were matched by age, sex, clinical status, and APOE4 genotype (Table 1). We examined associations between baseline AD biomarkers (Amyloid‐beta (Aβ) PET in centiloids, harmonized tau PET measures of MK6240 in POINTER and FTP in ADNI), regional cortical thickness, and verbal memory (Delayed Story Recall), executive function (Trail‐Making B), and global cognition (Preclinical Alzheimer's Cognitive Composite scores) across each cohort, controlling for age, sex, and education. Result Aβ burden in ADNI was associated with worse executive function ( p < .001) and global cognition ( p < .001) but not memory, whereas in POINTER Aβ burden was not associated with any cognitive domain (Figure 1A). Among Aβ+ individuals, tau burden was associated with poorer performance across domains in ADNI, but only with poorer verbal memory in POINTER (Figures 1B&1C). Additionally, there were stronger positive associations between cortical thickness and executive function and global cognition compared to verbal memory, particularly in ADNI Aβ+ individuals even after adjusting for entorhinal tau ( p < .01; Figure 2). Conclusion Cognitive performance was linked to all biomarkers (Aβ, tau, cortical thickness) but these associations were consistently stronger in ADNI compared to POINTER, particularly in Aβ+ individuals. The stronger thickness‐cognition relationships in ADNI were not driven by tau, indicating that there is a tau‐independent role of thickness in explaining cognition. In ADNI, there were subtle differences between cognitive domains such that executive function was more closely linked than verbal memory to Aβ and cortical thickness, whereas verbal memory was linked to tau in both cohorts. Our study highlights that frequently‐reported AD biomarker associations may be attenuated in heterogeneous, community‐recruited cohorts.

Abstract Background Given low representation of diverse populations in Alzheimer's disease (AD) research, it remains unclear if AD biomarker relationships observed primarily in non‐Hispanic White (NHW) cohorts generalize to other groups. Here we evaluate associations between key AD biomarkers and cognitive performance among cognitively unimpaired non‐Hispanic Blck (NHB) and NHW participants across 2 cohorts with unique sample characteristics. Method Participants included cognitively unimpaired NHB and NHW participants with Aβ and tau PET in ADNI (69 NHB, 402 NHW) and POINTER Imaging (135 NHB, 637 NHW). We examined harmonized measures of global Aβ (in centiloids), entorhinal cortex (EC) tau (quantified with MK6240 in POINTER and FTP in ADNI) and Preclinical Alzheimer's Cognitive Composite (PACC) scores. Regression models within each ethnoracial group evaluated relationships between 1) Aβ and EC tau, and 2) EC tau and PACC performance. Interaction models within each cohort were also conducted to assess differences in these associations by ethnoracial group. All models were adjusted for age and gender. Models with PACC additionally adjusted for education. Result In US POINTER, NHBs had lower Aβ and EC tau burden compared to NHWs (Table 1). In ADNI, there was no difference in EC tau between groups, and no differenence in Aβ after adjusting for age and gender. In US POINTER, the positive Aβ‐EC tau relationship was observed in both ethnoracial groups whereas in ADNI, Aβ was associated with higher EC tau in the NHW but not the NHB group. In both cohorts, EC tau was associated with worse PACC performance in both NHB and NHW and there were no differences in this association by ethnoracial group in interaction models (Figure 1). Conclusion NHBs had lower Aβ and EC tau than NHWs in POINTER but not ADNI, and there were inconsistent associations between Aβ and EC tau across cohorts. Despite these differences, AD biomarkers appear similarly related to cognitive outcomes across ethnoracial groups in both cohorts. Future analyses will attempt to further determine the generalizability of AD biomarker relationships in diverse samples by considering matching on relevant health and demographic characteristics, and inclusion of additional cohorts with harmonized biomarker and cognitive measurements.

Abstract Background The Aging and Cognitive Health Evaluation in Elders (ACHIEVE) randomized trial ( n = 977;ClinicalTrials.gov:NCT03243422) demonstrated that hearing intervention slowed 3‐year cognitive decline by 48% among a subgroup of participants. To further investigate differences by treatment with respect to cognitive benefit, we tested the hypothesis that hearing intervention is associated with improved neurodegeneration blood biomarkers 3‐years post‐randomization and assessed whether combining biomarkers and cognitive results improved power in the trial design. Method The ACHIEVE study is a multicenter, parallel‐arm, randomized trial (hearing intervention vs health education control) on 3‐year cognitive decline among adults 70–84years with untreated hearing loss and without substantial cognitive impairment. Participants were recruited from two populations: (1) a long‐standing cardiovascular health observational study (Atherosclerosis Risk in Communities [ARIC]), and (2) de novo community volunteers. Plasma was collected in year 3 in a subsample ( n = 540) while ARIC participants ( n = 164) also had baseline plasma. Glial fibrillary acidic protein (GFAP) and neurofilament light (NfL) neurodegenerative biomarkers were derived using the Alamar CNS protein panel. Regression models estimated the association of treatment with 3‐year biomarkers and global cognitive differences in the combined sample and by recruitment source and annualized change from baseline in the ARIC sample. We included a simple composite score of the standardized outcomes (Table 2). Result Among the subsample, baseline characteristics were balanced by treatment. There were no significant differences on 3‐year neurodegeneration biomarker levels by treatment in the combined (Table 1) or de novo groups (Table 2). Among ARIC participants, intervention resulted in lower 3‐year GFAP (mean:‐0.415;95%CI:‐0.712,‐0.118) and NfL (mean:‐0.349;95%CI:‐0.652,‐0.046) (Table 2). Annualized change from baseline analyses among ARIC participants (Table 3) revealed intervention was associated with a slower rate of cognitive decline (difference‐in‐means:0.059;95%CI:0.018,0.100) and a slower rate of increase in GFAP (difference‐in‐means: ‐0.060;95%CI:‐0.112,‐0.009). Differences in estimates suggest combined score, relative to cognition alone, may increase power in clinical trials that show a positive effect (ARIC subgroup: p = 0.02vs. 0.08[Table 2] and p = 0.0009vs.0.048[Table 3]). Conclusion Hearing intervention was associated with positive 3‐year effects on neurodegeneration blood biomarkers in ARIC participants which parallels cognitive decline results. Results provides objective evidence of brain changes following hearing intervention and potential signal of a more powerful combined outcome approach for future brain health clinical trials.

Abstract Background Ten years after the original publication, the Centiloid framework is now broadly used to harmonize amyloid‐PET quantification, facilitate data sharing and comparison across cohorts, and even assist visual interpretation in clinical settings. We evaluated the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds across cohorts. Methods We gathered data from publicly available cohorts and reached out to investigators across the world to collect cross‐sectional Centiloids, demographic and clinical information, and visual read data. Gaussian mixture models (GMM, k=2) were fitted to Centiloid values for each cohort and cutoffs were calculated as mean + 2SD of the lower Gaussian. When visual reads were available, we determined Centiloid cutoffs that maximized correspondence with visual reads (Cohen’s kappa). Data was combined across cohorts using random effects meta‐analyses. Results As of January 2025, we included 37 cohorts ( n = 41,678 participants) with heterogeneous pipelines, radiotracers, and clinical and demographic characteristics (Table‐1). The low Gaussian peaks ranged from ‐9 to 10CL; the meta‐analysis identified a common peak at 1CL. The second peaks were more heterogeneous (range=38‐102CL; meta‐analysis outcome=64CL). Across cohorts, the proportion of cognitively unimpaired versus impaired participants impacted the position of both peaks, with better separation in cohorts enriched in impaired individuals (Figure‐1C). The meta‐analysis indicated a GMM‐based cutoff of 19CL (95%CI: 16‐21CL, Figure‐1B); subgroup analyses showed no evidence of significant effect between single versus multicenter settings (17 versus 20CL, p = 0.30), MRI‐based or PET‐only processing (18 versus 19CL, p = 0.88), and no evidence of difference across radiotracers (Flutemetamol: 16CL; PIB: 17CL, Flutafuranol: 18CL, Florbetaben: 19CL, Florbetapir: 20CL, p = 0.78). In a subset of 29,496 participants with visual reads available, binary visual reads corresponded well to Centiloids (common kappa=0.86, Figure‐2A). The visual read‐based cutoff of 24CL (95%CI: 21‐27CL, Figure‐2B) maximized correspondence between visual read and quantification and was slightly higher than the GMM‐based cutoff. All meta‐analysis models showed high non‐random heterogeneity (I 2 >80%) across studies, suggesting non‐random differences in peaks and cutoffs. Conclusions Meta‐analysis‐based cutoffs align well with thresholds from the existing literature. High heterogeneity among studies underscores the need to investigate contributing factors, raising concerns about applying common cutoffs.

Background While it is clear that abnormal tau structures contribute to the clinical symptoms of Alzheimer's disease (AD), which of the many structural entities found in the AD brain underlie templated misfolding and progression of disease remains uncertain. However, their identification is crucial to target for more effective diagnostics and therapeutics. Objective To identify the most pathogenic tau species driving Alzheimer's disease progression. Methods We compared the biochemical and templated seeding properties of tau isolated from post-mortem brain tissue of patients with varying rates of clinical progression, categorized as rapid, slow, or typical, based on longitudinal decline in cognitive performance assessed by Clinical Dementia Rating Sum of Boxes scores. Sarkosyl-insoluble filamentous preparations were compared to aqueous-soluble preparations. Focusing on the aqueous-soluble proteins, we further characterized the most efficient seeding species using size-exclusion chromatography and quantifying oligomers using dot blot under both native and denaturing conditions. Results A rapidly progressive course corresponded to enhanced tau seeding behavior, with the strongest correlations observed in the aqueous-soluble fraction. Using size-exclusion chromatography, we demonstrated that the seeding activity of fractions containing oligomers, correlated most strongly with disease aggressiveness. Moreover, quantifying oligomers using dot blot under both native and denaturing conditions, we found that rapid progressors had higher levels of oligomeric tau, which was also more stable. Conclusions Aqueous-soluble oligomeric tau species may be an important driver of AD progression. Substantial heterogeneity was observed even in purified samples, suggesting that variations in tau conformers among patients may contribute to differences in clinical disease progression.

Abstract INTRODUCTION New methods estimate amyloid positivity onset age (EAOA) from amyloid positron emission tomography (PET). We explore the genetics of EAOA to identify molecular factors underlying the earliest Alzheimer's disease (AD) changes. METHODS Harmonized amyloid PET data from 4216 participants were used in genome‐wide survival, tissue‐specific gene expression, and genetic covariance analyses of EAOA. RESULTS Variants in apolipoprotein E ( APOE ), ABCA7 , and RASGEF1C associated with earlier EAOA. APOE ε4/ε4 and ε3/ε4 converted 6.3 and 5 years earlier than ε3/ε3, respectively. ε2 was protective against earlier EAOA. rs4147929, an expression quantitative trait locus for ABCA7 , associated with a 4 year earlier EAOA. This variant was associated with lower brain expression of ABCA7 , which was associated with increased amyloid pathology at autopsy. Multiple immune‐related diseases shared genetic covariance with EAOA. DISCUSSION APOE , ABCA7 , and RASGEF1C associated with earlier EAOA, with supporting evidence from tissue‐specific expression analyses, offering insights into intervenable targets at early stages of AD. Highlights Novel methods estimate how long ago a patient converted to amyloid positivity. Estimating this amyloid clock allows us to determine the onset of the earliest Alzheimer's disease changes. We evaluated what genes influence when someone converts to amyloid positivity. Apolipoprotein E ( APOE ) , ABCA7 , and RASGEF1C associated with earlier age of amyloid positivity. Genetic results were supported by tissue‐specific expression analyses.

Abstract Background: Recombinant activated factor VIIa (rFVIIa, NovoSeven®) is an FDA-approved medication for managing bleeding in patients with hemophilia A or B with inhibitors and for those with congenital factor VII deficiency. Its use has expanded off-label in the perioperative context to manage unexpected bleeding complications. However, there is still a gap in real-world data regarding institutional practices, dosing, and outcomes associated with rFVIIa. Methods: With IRB approval, we identified patients who received rFVIIa in the perioperative period between 2020 to 2024 at Mayo Clinic. A detailed chart review was conducted to gather demographic data, comorbid conditions, bleeding disorders, timing, and dosing of perioperative rFVIIa (pre-, intra-, and postoperative), along with postoperative outcomes. We focused on thrombotic and bleeding events, hospital readmissions, and return to the operating room (OR). Descriptive statistics were used for patient characteristics, rFVIIa dosing patterns, and postoperative complications. Type of surgical interventions were stratified based on UCLA perioperative risk stratifications, with a risk score of 5 equating to very high risk surgery and a score of 1 equating to very low risk surgery. Results: Of the 55 patients included, the median age at surgery was 42.3 years (SD 27.4), and 69% were male. The majority were non-Hispanic white (91%). The most common bleeding diatheses were Factor VII deficiency (54.6%), Factor VIII inhibitor (12.7%), and Glanzmann thrombasthenia (7.3%). Less frequent conditions included Hemophilia A (3.6%) and Hemophilia A with inhibitors (3.6%). Among patients with Factor VII deficiency, mild deficiency accounted for 65.9% of cases, followed by severe (19.5%) and moderate (14.6%) forms. Adjunctive medications to control bleeding included emicizumab, FEIBA, and rituximab. Mean estimated blood loss was 136 mL (SD 211 mL), and mean length of stay was 5.7 days (SD 6.4). Surgical risk strongly correlated with perioperative outcomes: blood loss increased from 19 mL in very low-risk surgeries to 352 mL in very high-risk surgeries, while mean length of stay increased from 4.5 days (risk 1) to 19 days (risk 4) and 11 days (risk 5). Actual rFVIIa dosing ranged from 7.2 to 7211.5 mcg/kg per dose, with a median of 67.4 mcg/kg and a mean of 852.8 mcg/kg, reflecting variability in clinical practice. When stratified by surgical risk, the highest median doses were observed in very low- and low-risk surgeries (84.4 and 86.8 mcg/kg, respectively), while very high-risk surgeries had the lowest median dose (30.0 mcg/kg). In the postoperative period, thrombotic events did not occur in the first 90 days but were documented in 1.8% of patients between 90 and 365 days and in 1.8% after 365 days. Bleeding complications were frequent and demonstrated predominance in the immediate post-op period. Within the first 30 days after surgery, 18.2% of patients experienced bleeding complications, with 3.6% classified as major and 14.5% classified as minor, based on ISTH criteria. Between 30 and 90 days, bleeding complications occurred in 9.1% of patients (3.6% major and 5.5% minor), between 90 and 365 days, bleeding was observed in 10.9% of patients, all of which were minor, and beyond one year, bleeding complications were documented in 23.6% of patients, with 3.6% major and 21.8% minor. Readmissions were also common and followed a similar time distribution. In the first 30 days, 7.3% of patients had readmissions related to the prior surgery, and 3.6% had unrelated readmissions. Between 30 and 90 days, 3.6% of readmissions were related and 3.6% were unrelated. Between 90 and 365 days, 3.6% were related and 14.5% were unrelated to the initial procedure. Returns to the OR occurred in 1.8% of patients between 30 and 90 days and in 1.8% between 90 and 365 days. Conclusions: In conclusion, perioperative rFVIIa was most frequently used for Factor VII deficiency but was also administered to patients with Factor VIII inhibitor and Glanzmann's thrombasthenia, as well as several rare congenital and acquired bleeding disorders. Postoperative thrombotic events were rare, while ISTH-defined bleeding complications and readmissions were common. Most bleeding complications were minor, but their frequency was highest in the early postoperative period and again beyond one year. High-risk surgeries were associated with greater blood loss, prolonged hospitalization, and a higher burden of postoperative complications.

Abstract Background Thrombotic Thrombocytopenic Purpura (TTP) is a rare, typically acquired disorder due to an immune-mediated deficiency of ADAMTS13, a metalloprotease responsible for cleaving large multimers of von Willebrand Factor (vWF). In the absence of ADAMTS13 activity, ultra-large vWF multimers accumulate, promoting widespread platelet aggregation and microvascular thrombosis. This consumptive cascade leads to thrombocytopenia, microangiopathic hemolytic anemia, fever, neurological symptoms, and rarely renal dysfunction. Although therapeutic plasma exchange (TPE) has long been the cornerstone of TTP treatment, the FDA approved Caplacizumab as a first-line treatment for TTP in 2019. This drug is a bivalent single-domain antibody that binds to the A1 domain of vWF and prevents its interaction with platelets, thus effectively interrupting the pathogenic cascade, which is associated with a risk of bleeding. Methods We conducted a retrospective cohort study using the TriNetX Global Collaborative Network, comprising data from 152 healthcare organizations. Adults (≥18 years) with a diagnosis of TTP who received Caplacizumab plus TPE were compared to patients with TTP who received TPE alone. 1:1 propensity score matching (PSM) was performed to balance characteristics between cohorts. The primary outcomes assessed were all-cause mortality and major bleeding events over a period of 1 month. Results A total of 4084 patients with TTP were identified, of whom 356 received caplacizumab with TPE and 3728 received TPE. After PSM, 2 balanced cohorts were created: C+P (Caplacizumab + TPE), P only (TPE), each comprising 356 patients. The average age in C+P and P only, after PSM, was 50.4 +/- 16.2 and 50.8 +/- 16.2 years, respectively. Females formed 65.7% of both C+P and P only, and males accounted for 28.4% and 28.7% of C+P and P only, respectively. 2.8% patients in C+P and 7.06% patients in P only had all-cause mortality at the end of 1 month. One-month all-cause mortality was significantly lower in C+P (2.8%) compared to P only (7.06%), with an odds ratio (OR) of 0.385 (95% CI 0.182 to 0.814, p=0.010). Upon assessment of bleeding outcomes, no statistically significant risk difference was noted between the 2 groups, with the odds ratio being 0.974 (95% CI 0.399 to 2.379, p=0.954). Conclusion Our large database study suggests that the addition of caplacizumab to standard TPE therapy is associated with a reduction in one-month all-cause mortality in patients with TTP, without a corresponding increase in major bleeding. However, given the lack of granular clinical data, such as contraindications to caplacizumab use, it is possible that patients who received TPE alone were inherently at a higher risk. As such, while these findings support the potential benefit of early caplacizumab use, they should be interpreted with caution and warrant prospective validation to confirm causality and assess long-term outcomes.