Citations

AbstractBackgroundAlzheimer’s disease (AD) is neuropathologically characterized by amyloid‐β (Aβ) plaques and tau neurofibrillary tangles often quantified by Thal phase and Braak stage, respectively. Aβ also frequently deposits in the cerebrovasculature with severity categorized by a cerebral amyloid angiopathy (CAA) score. These and related measures often show high variability within AD suggesting distinct underlying mechanisms, the identification of which may reveal important biological insights into AD pathophysiology. We hypothesize that, within the AD brain, neuropathology and levels of core AD‐related proteins are influenced by variations in DNA methylation (DNAm). To test this, we performed epigenome‐wide association studies (EWAS) using DNAm clusters from the temporal cortex (TCX) and cerebellum (CER) with AD‐related neuropathologic measures (Braak, Thal, and CAA) and brain biochemical levels of five proteins (apoE, Aβ40, Aβ42, tau, and p‐tau).MethodsDNAm from neuropathologically‐confirmed AD cases available through the Mayo Clinic brain bank was measured by reduced representation bisulfite sequencing (RRBS) from 471 brain samples, 200 of which had both TCX and CER measures. Neuropathology was scored by an experienced neuropathologist. TCX levels of five AD‐related proteins from three tissue fractions (buffer‐, detergent‐, and in‐soluble) were measured by ELISA (Liu 2020). CpG methylation (CpGm) was binned by a 15‐state chromatin model (Kundaje 2015) and averaged. Averaged CpGm clusters were tested for their association with each endophenotype through multi‐variable linear regression. The influence of CpGm clusters on expression levels of nearby genes was also investigated through multi‐variable regression.ResultsOur innovative binning method demonstrated expected and biologically relevant CpGm patterns. We identified multiple epigenome‐wide significant CpGm clusters unique to each AD‐related endophenotype and brain region. Comparisons between the TCX and CER further revealed brain region‐specific enrichment of distinct CpGm clusters. Significant CpGm clusters were further characterized by their influence on gene expression.ConclusionsAlthough all neuropathologic and biochemical endophenotypes tested are core to AD pathophysiology, our results suggest each has a distinct epigenetic architecture underlying their variability in the AD brain. By discovering brain region‐specific DNAm changes that contribute to each neuropathologic or biochemical outcome, we can identify core components of complex mechanisms that individually and jointly contribute to AD.

AbstractBackgroundThe brainstem nucleus incertus (NI) or ‘uncertain nucleus’, was originally described by Streeter in 1903 as a midline region in the floor of the fourth ventricle of the human brain with an ‘unknown’ function. A century later, the NI has been shown to play a key role in memory formation in rodents, through direct and indirect inhibition of the hippocampus; and the anatomy of the NI and its projections throughout the brain have been systematically mapped in rats, mice, and primates, but not in humans. In these novel studies, we mapped the human NI using the neuropeptide, relaxin‐3 (RLN3), as neurochemical marker. In rodents, RLN3 is produced mostly in NI neurons with some subsidiary positive cells in the periaqueductal gray and an area dorsal to the substantia nigra.MethodsSerial, free‐floating coronal sections of formalin‐fixed postmortem tissue were prepared from the pons of an adult female (aged 96 years) without a history of dementia or other neurological disorders, provided by the Banner Brain and Body Donation Program, Sun City, Arizona, USA. Using immunohistochemistry, we first identified the NI by mapping the distribution of microtubule‐associated protein‐2 (MAP2) and RLN3. The specificity of the RLN3 antibody used was verified in a dot‐blot using native RLN3 peptide. We also investigated the presence of markers detected in the NI of rats ‐ glutamic acid dehydrogenase‐65/67 (GAD65/67) and corticotropin‐releasing factor type 1 receptor (CRF1); and used a phosphorylated‐tau (AT8) to determine if the NI displayed tau accumulation.ResultsDetection of MAP2‐immunoreactivity revealed the neuronal distribution throughout the pons. RLN3‐immunoreactivity was detected in neurons in the dorsal, anterior‐medial region, revealing the broad anatomy of the human NI. Neurons within this same area were also positive for GAD65/67‐ and CRF1‐immunoreactivity, in line with previous studies; and AT8‐immunoreactivity was also detected.ConclusionsRLN3 is present in neurons of the human NI and aspects of its anatomy are shared across species, including the macaque. Accumulation of phosphorylated‐tau in the NI suggests its possible involvement in the pathology of Alzheimer’s disease and related dementias. Further comparative studies are required to better understand the neurochemical anatomy of the human NI.

AbstractThe neuroimmune response in human aging and Alzheimer’s disease (AD) is complex and heterogeneous. Numerous genome wide associated studies have shown several AD genetic risk loci related to innate immunity and microglial function, of which APOE E4 and TREM2 R47H have been shown to influence microglial activation states. Microglial heterogeneity, characterized by morphology and function, has long been documented in human and murine literature. Using single‐nuclei RNA sequencing, one distinct reactive microglial subpopulation termed amyloid‐responsive microglia (ARM) was previously characterized in postmortem human AD brain tissue harboring various genetic risk variants, including APOE E4 and TREM2 R47H, and further validated in an expanded autopsy cohort using an immunohistochemical (IHC) marker for ARM. Herein described is an abbreviated study exploring the clinical utility of postmortem ARM IHC and its potential relationship to antemortem biomarkers, such as fluid and neuroimaging biomarkers, and cognition. Also discussed is the integration of digital pathology and artificial intelligence (AI)‐based algorithms to translate postmortem microglial findings into potential research application and model development.

AbstractBackgroundNeuropathologically, Alzheimer’s disease (AD) is characterized by the presence of senile plaques composed of beta‐amyloid (Aβ) and neurofibrillary tangles made of hyperphosphorylated tau. Aβ and p‐tau have been shown to impact endoplasmic reticulum homeostasis, DNA damage response and autophagic functions. Intriguingly, alterations in these systems have also been connected to dysfunctions in UFMylation, a ubiquitin‐like posttranslational modification. Analogous to ubiquitin, UFM1, is conjugated to substrates via a catalytic cascade involving UFM1‐specific set of E1 (UBA5), E2 (UFC1), and a complex that consists of E3 ligase (UFL1), DDRGK1 and CDK5RAP3. UFMylation is reversible, and this is mediated by UFSP2. The UFMylation pathway is essential for brain development as complete loss of function of any of its components result in severe neurodevelopmental disorders. However, alterations in UFMylation and their role in and significance for age‐related AD remains unknown.MethodWe performed Western blot and Meso Scale Discovery based ELISA to measure the protein level of UFM1, UFSP2, tau, p‐tau and other UFMylation pathway components in human post‐mortem brain. Analyses were performed with RIPA‐ and 2% SDS‐soluble fraction from frontal cortex. To validate our finding in human tissues, we knocked out UFM1 and UFSP2 in ReN cells, a neural progenitor cell model that has already been used to study AD and that can be terminally differentiated in neurons.ResultWe found a significant reduction of RIPA UFSP2, but an increase of RIPA and SDS UFM1 in AD compared to controls. Strikingly, RIPA UFSP2 had a strong negative correlation with both RIPA and SDS UFM1. Furthermore. UFM1 was significantly increased in UFSP2‐KO neurons compared to WT, mirroring the negative correlation between UFM1 and UFSP2 observed in human brain. In addition, RIPA and SDS UFM1 had a strong positive correlation with p‐tau, indicating that dysfunctional UFMylation might play an important role for disease pathogenesis.ConclusionReduction of RIPA soluble UFSP2 in human AD frontal cortex might result in the abnormal accumulation of UFM1 and this might further facilitate the AD pathogenesis. Because of its role for several central AD‐relevant pathways, the UFMylation pathway might be a potential therapeutic target for AD.

Abstract The medial collateral ligament serves as the primary stabilizer to valgus stress on the medial side of the knee and is the most commonly injured ligament in the knee. Medial collateral ligament reconstruction can provide improved stability and clinical outcomes for patients. Advancements in techniques, including the use of an adjustable‐length‐loop suspensory fixation device through a longitudinal incision, have been introduced in recent years. The purpose of this Technical Note and video is to provide a minimally invasive method for medial collateral ligament reconstruction with adjustable‐loop femoral fixation and posteromedial corner plication. Technique Video video See video under supplementary data.

Abstract Background Financial management is one of the most cited sources of stress among caregivers. Legal planning presents additional challenges. Only a small percentage of dementia caregivers report successfully completing necessary planning. Further, persons with dementia are vulnerable to fraud, scam, and inappropriate financial transactions. With stakeholder participation, we explored a novel solution using state‐of‐the‐art technology aimed to overcome impediments that have plagued prior legal and financial planning resources. Method 18 stakeholders from 10 organizations across the U.S. serving persons with dementia and caregivers participated in two 60 to 90‐minute semi‐structured interviews that were recorded and transcribed. Qualitative stakeholder input was collected through an iterative process. During initial interviews, a mockup was shared to elicit feedback. There was a 3‐month wait after the first interviews to incorporate recommendations into the evolving prototype. During the second round of interviews, stakeholders evaluated the prototype progress based on feedback they previously provided. Stakeholders then completed an electronic survey to assess their overall confidence in the value of the future tool. A phase 1 prototype was designed using Adobe XD. Stakeholders influenced the content, layout, colors, and images with goals of clarity, usability, legibility, and simplicity. Included are a ‘how the tool works’ section; a wizard that guides users through a topic by asking questions, responding appropriately, a prioritized to‐do list; a chatbot; and a dashboard for viewing progress and sharing with selected care partners. Responses to questions were generated by legal and financial experts. Result All 18 stakeholders confirmed that financial management and legal planning are highly stressful for persons with dementia and their families and that there is a need for a tool of this type. 85% of the stakeholders indicated that were extremely satisfied, or very satisfied that the tool would be a beneficial product. Conclusion Results confirmed the need for and utility of an easy‐to‐use tool assisting in legal and financial planning. Phase 2 will incorporate additional content and features along with further review from legal and financial experts. Persons living with dementia and care partners will be included in the testing, evaluation, and further refinement of the technology tool.

Abstract Background Early diagnosis of Alzheimer’s disease (AD) is crucial for ensuring patients have timely access to essential care. Given the symptoms of early AD are often subtle, it is important that both primary care physicians (PCPs) and neurologists are able to diagnose their patients. Several sources of evidence have indicated that most PCPs and neurologists lack knowledge, competence, and confidence regarding recognition of early forms of AD. To address the clinical practice gaps, a series of CME‐certified programs covering the symptoms, assessment, and diagnosis of early forms of AD were developed. Method The data presented here are based on outcomes from four online CME‐certified multimedia programs housed on a single destination page. Each CME‐certified program utilized expert physicians to educate learners on recognizing early forms of AD. Each CME program asked a series of pre‐post questions designed to assess immediate changes in knowledge, competence, or confidence. The questions were grouped into clinically relevant themes. The educational effect for all of the programs was determined by using a paired‐samples t‐test to identify significant differences between pre‐ and post‐assessment responses for each question. Data across all four programs were collected from February 2022 through December 2022. All four programs were promoted to an audience of US‐ and ex‐US physicians. Result Participation across the four programs ranged from 543 to 2,510 PCPs and 256 to 1,025 neurologists. PCPs and neurologists demonstrated significant (P<0.05) pre‐vs post education improvements on the following themes: biomarkers in AD, clinical trial outcomes, cognitive assessment scales, diagnosis of AD, diagnosis of mild cognitive impairment (MCI), and symptoms differentiating AD from MCI. Participation in the education also significantly (P<0.001) improved confidence in the identification of early forms of AD among PCPs and neurologists. No substantial differences in knowledge, competence, or confidence were seen for either clinician group based on geographic location of the learner. Conclusion The results indicated that clinicians who participated in CME‐certified curriculum‐based education in multiple formats were better prepared to recognize early forms of AD. Future education should continue to discuss the use of clinical strategies to recognize early forms of AD.

Abstract Background Easily accessible and self‐administered cognitive assessments that can aide early identification of individuals at risk for Alzheimer’s disease (AD) dementia are critical for timely intervention. Mayo Test Drive (MTD) is a remote, self‐administered, multi‐device compatible, web‐based cognitive assessment (Stricker et al., 2022). We investigated continuous associations between MTD and amyloid and tau PET biomarkers and compared the strength of association to PET biomarkers and in‐person cognitive measures. Method 556 adults from the Mayo Clinic Study of Aging participated (mean age = 70.6; mean education = 16.0 years; 50.7% female; 97.5% white). Participants were predominantly cognitively unimpaired (95.3%; 4.7% had a consensus diagnosis of mild cognitive impairment). Participants completed (1) brain amyloid and tau PET scans, (2) in‐person neuropsychological assessment including Mayo Preclinical Alzheimer’s disease Cognitive Composite (Mayo‐PACC) and Global‐z, and (3) remote MTD comprised of the Stricker Learning Span (SLS) and the Symbols test, which are combined into an MTD composite. Multiple regressions adjusted for age, sex, and education queried associations between imaging biomarkers [amyloid meta‐region of interest (ROI), tau meta‐ROI, and tau entorhinal cortex (EC)‐ROI)] and composite and subtest scores from remote and in‐person measures. Davidson‐Mackinnon J‐test compared R‐squared values of models with remote versus in‐person composites. Result Lower performances on MTD composite and Mayo‐PACC were associated with higher amyloid meta‐ROI (p’s<.05; Table 1). MTD composite was also negatively associated with tau meta‐ROI and EC‐ROI (p’s<.05). For memory measures, SLS sum of trials was negatively associated with tau meta‐ROI (p = .01) and EC‐ROI (p<.001) with no associations between AVLT sum of trials and PET (p’s = .06; Table 2). Among processing speed/executive function measures, worse Trails B performance was associated with higher amyloid meta‐ROI (p<.001). Symbols and Digit Symbol Coding were not associated with PET (p’s = .29). A multivariable model with MTD explained significantly less variance (p = .04) for amyloid meta‐ROI (adjusted R‐squared = 0.165) than a multivariable model with Mayo‐PACC (adjusted R‐squared = 0.176); remote and in‐person composite measures were comparable for other associations (p’s>.05). Conclusion MTD is associated with continuous measures of amyloid and tau PET biomarkers of AD, demonstrating criterion validity for MTD. Several associations were comparable to relationships between gold‐standard in‐person neuropsychological tests and imaging biomarkers.

Abstract Background Dementia with Lewy bodies (DLB) and Alzheimer’s disease (AD) are challenging to differentiate. Mobile health devices that measure motor and sleep domains between clinic visits may improve differential diagnosis. Method Participants with probable AD and probable DLB wore ActiGraph triaxial wGT3X‐BT actigraphy devices on their nondominant wrists for 2 weeks and multichannel Sleep ProfilerX8TM EEG devices on their foreheads for 2 consecutive nights.3 Actigraphy data were processed and scored using GGIR and activity counts in R. The Sleep Profiler characterizes abnormal slow‐wave sleep and non‐REM hypertonia (NRH). Result At baseline, participants with DLB (n = 9) had higher UPDRS scores and a higher likelihood of psychosis than participants with AD (n = 8; see Table 1). Using univariate Wilcoxon Rank‐Sum tests, we found that at baseline participants with DLB had lower daily activity counts, higher % time in NRH, and lower % time in REM sleep than participants with AD (unadjusted p‐values < 0.05; See Figure 1). In a recent 6‐month followup, activity levels were lower on average than baseline activity levels for both DLB (n = 5) and AD (n = 5). at 6‐months, the differences in % sleep in NRH increased between DLB participants (n = 5) and AD participants (n = 3) as average % NRH increase 6% in DLB and decreased 1% in AD (see Table 2). These 6‐month differences are not statistically significant, but data collection are ongoing. An exploration of methods for processing and scoring actigraphy data revealed that processing can result in wide range of findings. As a result, we have focused on actigraphy outcomes which are more suitable to older participants with dementia. Conclusion Participants with DLB demonstrated lower baseline physical activity and higher rates of baseline sleep disturbances than participants with AD; sleep differences between DLB and AD appeared to increase over 6 months. Actigraphy and sleep‐monitoring devices are well tolerated in participants with dementia and they can reliably collect valid, useful activity and sleep data in between clinic visits.

Abstract Background Brief self‐administered cognitive assessments deployed remotely and combined with plasma biomarkers of Alzheimer’s disease (AD) are well suited to assess clinical symptoms and underlying biology in large‐scale decentralized studies. We investigated whether associations of self‐administered cognitive measures and plasma biomarkers were comparable to associations of in‐person cognitive measures and plasma biomarkers. Method Participants included 327 adults from the Mayo Clinic Study of Aging (mean age = 70.8; 48% female; mean education = 16.0 years; 96.9% white). Most (94.5%) were cognitively unimpaired; 5.5% had consensus diagnosis of mild cognitive impairment. Participants completed Mayo Test Drive (MTD; Stricker et al., 2022), a remote, self‐administered, multi‐device compatible web‐based cognitive assessment comprised of the Stricker Learning Span (SLS) and Symbols test that are combined into a MTD composite. Participants also completed in‐person neuropsychological assessment (global‐z; Mayo Preclinical Alzheimer’s disease Cognitive Composite [Mayo‐PACC]) and fasting venipuncture. Plasma was assayed via HD‐X simoa platform for amyloid‐beta (Aß)‐42 and Aß‐40 to create an Aß42/40 ratio, glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) using the N4PE Quanterix kit as well as phosphorylated‐tau protein 181 (p‐tau181). P‐tau181, GFAP, and NfL were log10‐transformed. Multiple regression analyses adjusting for age, sex, and education examined associations between plasma biomarkers and composite and subtest scores from remote and in‐person measures. Davidson‐Mackinnon J‐test compared R‐squared values of models with remote versus in‐person composites. Result Lower performances on MTD, global‐z, and Mayo‐PACC (Table 1) were associated with higher GFAP (p’s = .02), NfL (p’s = .003), and p‐tau181 (p’s = .04). For memory, worse SLS and AVLT sum of trials were associated with higher GFAP (p’s = .01) and NfL (p’s = .03). For processing speed/executive function, worse Symbols and Trails B were associated with higher p‐tau181 (p’s = .02). Worse Trails B and Digit Symbol Coding were associated with higher NfL (p’s = .02), and worse Digit Symbol Coding was associated with lower Aß42/40 (p = 0.03; Table 2). A multivariable model with MTD explained significantly more variance (p = .04) for NfL (adjusted R‐squared = 0.461) than a multivariable model with Mayo‐PACC (adjusted R‐squared = 0.447); remote and in‐person composite measures were comparable for other associations (p’s>.05). Conclusion Remote and in‐person composite measures showed comparable associations with AD‐related plasma biomarkers, supporting MTD’s criterion validity.