Citations

AbstractBackgroundAutosomal dominant Alzheimer disease (ADAD) is characterized by genetic mutations affecting the beta‐amyloid (Aß) pathway. However, vascular and immune factors play important roles which are not completely understood. Understanding the function of the neurovascular unit (NVU) comprised of neurons, glial cells, and vasculature, at different disease stages appears ideal to developing and evaluating therapeutics. Omics approaches can inform NVU changes and their disease associations.MethodsCSF proteomic data using the Somalogic® platform was generated from 485 participants in the DIAN study, who also had PiB‐PET and MRI assessing Aß burden, white matter hyperintensity (WMH), and cerebral microhemorrhage (CMH). From previously published AD studies, we identified 33 NVU‐associated proteins with corresponding Somalogic aptamers (Figure 1). We used Principal Component Analysis (PCA) on participants with complete data (n = 262, 166 mutation‐carriers and 96 non‐carriers) to find groups of proteins associated with mutation status and disease stage as measured with estimated year to symptom onset (EYO), PiB‐PET, and clinical status. Linear‐mixed effect models and two‐part zero‐inflated negative binomial mixed models further evaluated the link between significant principal components (PCs) and WMH and CMH, respectively. Models accounted for age, APOE‐e4 status, sex, and education.ResultsThe first ten PCs explained >60% of the variance in NVU‐related protein levels (Figure 2A) with only PC5 (4.8%) associated with mutation*EYO, suggesting relationship with ADAD‐specific disease progression (***p<0.0001, Figure 2B). While asymptomatic PiB‐negative individuals were not significantly different from non‐carriers, asymptomatic PiB‐positive individuals had higher PC5 scores than non‐carriers and symptomatic individuals scored still higher (**p<0.005, ***p<0.0001, Figure 2C). The main proteins composing PC5 were: neurofilament light‐chain, angiopoietin‐2, SMOC1, LRP1, E‐selectin, and sTREM2, suggesting strong association with proinflammatory glial response from neuronal injury (Figure 2D). PC5 was also associated with WMH volumes (*p<0.05, Figure 3A) and with CMH count in participants with CMH (**p<0.005, Figure 3B).ConclusionsThis PCA approach indicates that some groups of NVU‐associated proteins are related with mutation status and disease stage, and that they are differentially associated with features of ADAD such as white matter integrity as measured by WMH volume. Weighted Correlation Network Analysis will be of interest to further understand these associations. Funding: K01AG080123, RF1‐AG044546, UF1AG032438

Objective Understanding patients’ wishes and preferences during hospitalisation is a crucial component of care. We identified a gap related to documentation of advance directives and patient preferences for care and focused on ensuring appropriate goals of care discussions were occurring and documented. Our aim was to improve the documentation of advance care planning notes to include 80% of targeted hospitalised patients. Patients and methods Hospitalised patients in two community hospitals were included. We performed serial Plan-Do-Measure-Act cycles. The first intervention introduced the ‘surprise question’ during an afternoon huddle. Intervention 2 emphasised documentation of the advance care planning note. The third intervention used a structured approach led by administrators at daily multidisciplinary huddles and identified patients with an Elderly Risk Assessment score of 16 or greater as targets for advance care planning documentation. Results From a baseline performance under 10%, we increased to greater than 80% of patients with Elderly Risk Assessment scores of 16 or higher having documented advance care planning. We were able to sustain this performance over subsequent years. Conclusion A structured approach that identifies a targeted population at higher risk of mortality, and implementation of a checklist at a daily multidisciplinary huddle provided sustained improvement in advance care planning documentation. This provides the opportunity for improved patient care that is aligned with their values and preferences.

INTRODUCTION: Spondyloarthritis (SpA), the most common extraintestinal manifestation of inflammatory bowel disease (IBD), is reported in up to 39% of patients with IBD. Despite this high prevalence, risk factors of developing SpA in patients with IBD are not well described. In this study, we aimed to determine the factors associated with SpA symptoms and their prevalence in an IBD cohort. METHODS: Two validated screening questionnaires for the detection of SpA in IBD (DETAIL = DETection of Arthritis in Inflammatory boweL diseases, IBIS-Q = IBD Identification of Spondyloarthritis Questionnaire) were administered to patients with IBD without a prior diagnosis of SpA in 6 US academic medical centers. Demographic data, IBD characteristics, and medication history were recorded. RESULTS: Screening questionnaires were completed by 588 patients (220 ulcerative colitis, 349 Crohn's disease, and 19 IBD-unclassified), with a median age of 40 years (interquartile range 30–53) and median disease duration of 12 years (interquartile range 6–22). The number of positive screens was 130 (22%) for DETAIL, 196 (33%) for IBIS-Q, and 204 (35%) for either DETAIL or IBIS-Q. Age, female sex, history of smoking, prior bowel surgery, and history of any biologic or targeted small molecule exposure were associated with a positive screen on univariate analysis. After multivariate analysis, female sex (odds ratio [OR] 2.03, 95% confidence interval [CI] 1.41–2.93), older age (OR 1.02, 95% CI 1.01–1.04), history of smoking (OR 1.67, 95% CI 1.04–2.69), and history of any biologic or targeted small molecule exposure (OR 2.27, 95% CI 1.34–3.84) were independently associated with positive screens. Higher number of biologic exposures was associated with higher risk of positive screens, with the highest risk seen with 3 or more exposures (OR 3.25, 95% CI 1.75–6.03). DISCUSSION: A substantial number of patients with IBD screen positive for SpA symptoms, indicating a potentially high burden of undiagnosed illness. Factors associated with SpA symptoms include older age, female sex, and more severe disease (based on increased number of advanced therapies or prior surgery), whereas IBD phenotype does not independently increase the risk of a positive SpA screen. Further studies are needed to confirm these findings and better characterize SpA in IBD.

Abstract Background Genetic testing has traditionally been divided into molecular genetics and cytogenetics, originally driven by the use of different assays and their associated limitations. Cytogenetic technologies such as karyotyping, fluorescent in situ hybridization or chromosomal microarrays are used to detect large “megabase level” copy number variants and other structural variants such as inversions or translocations. In contrast, molecular methodologies are heavily biased toward subgenic “small variants” such as single nucleotide variants, insertions/deletions, and targeted detection of intragenic, exon level deletions or duplications. The boundaries between these approaches are now increasingly blurred as next-generation sequencing technologies and their use for genome-wide analysis are used by both disciplines, therefore eliminating the historic and somewhat artificial separation driven by variant type. Content This review discusses the history of genomic nomenclature across both fields, summarizes implementation challenges for the clinical genetics community, and identifies key considerations for enabling a seamless connection of the stakeholders that consume variant descriptions. Summary Standardization is naturally a lengthy and complex process that requires consensus building between different stakeholders. Developing a standard that not only fits the multitude of needs across the entities that consume genetic variant information but also works equally well for all genetic variant types is an ambitious goal that calls for revisiting this vision.

AbstractBackgroundAlzheimer’s disease (AD) is a devastating neurodegenerative disorder with few therapies to treat, mitigate or prevent its onset. Understanding of this disease is predominantly based on research in non‐Hispanic Whites (NHW) although AD disproportionately affects African Americans (AA) and Latin Americans (LA), underrepresented in AD research. To address this knowledge gap, the Accelerating Medicine Partnership for Alzheimer’s Disease (AMP‐AD) Diversity Working Group was launched to generate multi‐omics data from post‐mortem brain tissue from donors of predominantly AA and LA descent. Here, we focus on genomic and transcriptomics measures, made available through the AD Knowledge Portal (ADKP).MethodBrain tissue from dorsolateral prefrontal cortex (DLPFC), caudate nucleus (CN), superior temporal gyrus (STG) and temporal pole (TP) regions of AA (N = 299), LA (N = 344) and NHW (N = 532) donors was obtained through Mayo Clinic, Mt. Sinai School of Medicine, Emory, Columbia, Rush Alzheimer’s Disease Center, Banner Sun Health, and 1Florida. DNA extracted from DLPFC tissue samples (n = 641) was utilized for whole genome sequencing (WGS) at New York Genome Center (NYGC). RNAseq of 2,224 samples was conducted either at Mayo, Rush or NYGC. Sequencing reads were processed through GenomeGPS and MAPRseq pipelines for WGS and RNAseq data, respectively. Following quality control (QC), RNAseq data was normalized and assessed for sources of variation (SOV). Integration of WGS and RNAseq data to perform comparative eQTL analysis across multi‐ethnic populations and brain regions is ongoing.ResultWGS data for 621 donors, and RNAseq data generated at Mayo (n = 1,136 samples), Rush (n = 627), and NYGC (n = 779) sequencing centers, were deposited to the ADKP. Consensus processing of RNAseq data revealed site, sex, race/ethnicity, RIN, AD diagnosis, age at death and/or library batch as SOV across various sites and brain regions. Principal component analysis of gene expression measures revealed no major stratification by disease or brain region. Accompanying clinical metadata of donors have been distributed through ADKP.ConclusionThese multi‐omics data made available to the research community is expected to be an initial step towards bridging our data and knowledge gap to elucidate conserved and distinct AD related pathways across these underrepresented at‐risk populations.

AbstractBackgroundRecent studies highlight distinct patterns of cortical atrophy between amnestic (typical) and non‐amnestic (atypical, with subtypes: behavioural, dysexecutive, logopenic and visuospatial) clinical phenotypes of Alzheimer’s disease (AD). The current study aimed to assess regional MRI patterns of cortical atrophy across AD phenotypes, and their association with amyloid‐beta (Aβ), phosphorylated tau (pTau), axonal degeneration (NfL) and microvascular deterioration (COLIV).MethodPostmortem In‐situ 3DT1 3T‐MRI data was collected for 33 AD (17 typical, 16 atypical) and 16 control brain donors. Images were segmented and AAL3 atlas regional volumes were obtained using QyScore®. At subsequent autopsy, eight brain regions were selected, immunostained for Aβ (4G8), pTau (AT8), Neurofilament‐light (NFL), and Collagen‐IV (COLIV), and quantified using qupath. Group comparisons and volume‐pathology associations were analyzed using linear models and partial correlations with covariates age, sex, postmortem delay, and intracranial volume.ResultsCompared to controls, AD phenotype groups showed overall lower cortical volume, while only minor volume differences were observed between AD phenotype groups, observed primarily in limbic regions (Fig. 1). Across pathological markers, AD phenotype groups showed consistently higher immunoreactivity than controls, while atypical AD showed consistently higher immunoreactivity than typical AD (Fig. 2). Moreover, different patterns of pathology could be observed between atypical subtypes (e.g. distinctly higher pTau load in the occipital gyrus of the visuospatial subtype). In typical AD, global volume loss was associated with lower Aβ and higher pTau, NFL and COLIV immunoreactivity, while in atypical AD, global volume loss was primarily associated with higher NFL immunoreactivity (Fig. 3a). Regionally, AD phenotype differences in atrophy‐pathology association were most pronounced in the (para) hippocampal regions. This distinction was mainly characterized by negative associations for NFL and COLIV, which was only observed in typical AD (Fig. 3b‐c).ConclusionAtrophy patterns between AD phenotypes showed only minor differences, potentially attributable to the on average later disease stage of the study cohort. The higher immunoreactivity for pathological markers found in atypical AD might suggest a more severe disease burden. (Para) hippocampal volume decline was associated with axonal and microvascular deterioration in typical AD, but not in the higher pathologically burdened atypical AD group, suggesting a differential susceptibility between AD phenotypes.

AbstractBackgroundClinically meaningful cognitive impairment has typically been defined as a single impaired test score, but this approach is prone to false‐positive errors. Examining two test scores at a lower threshold (i.e., using neuropsychological criteria) can improve diagnostic reliability and has shown stronger associations with biomarkers of Alzheimer’s disease. Cognitive impairment in episodic memory and/or executive functioning is a core feature of traumatic encephalopathy syndrome (TES). However, there remains a need to improve the specificity of TES criteria. We applied 1‐ vs. 2‐test criteria for cognitive impairment in former American football players to examine whether 2‐test criteria showed stronger associations with biomarkers of tau, axonal injury, and neurodegeneration.Method169 male former American football players from the DIAGNOSE CTE Research Project completed neuropsychological assessment, lumbar puncture, and MRI (see Table). Episodic memory measures were delayed recall from Craft Story, Brief Visuospatial Memory Test, and NAB List Learning. Executive functioning measures were FAS, Stroop Interference, NAB Mazes, and Trails B. Cerebrospinal fluid (CSF) was measured using Lumipulse technology (p‐tau, t‐tau) and an in‐house ELISA (neurofilament light [NfL]). Hippocampal volumes were extracted from structural MRI using Freesurfer 7.1. Cognitive impairment was identified by 1‐test criteria (≥1.5 SD below norms on one test in either domain) and 2‐test criteria (>1 SD below norms on two tests within a domain). Regressions adjusting for age, race, education, and APOE ε4 status assessed whether meeting 1‐ or 2‐test criteria, separately, predicted log‐transformed CSF p‐tau181, p‐tau231, t‐tau, and NfL, and hippocampal volumes.Result37 of the 99 football players that were impaired by 1‐test criteria did not meet 2‐test criteria, and four uniquely met 2‐test but not 1‐test criteria (see Figure). Cognitive impairment by 2‐test but not 1‐test criteria predicted higher log‐CSF NfL (2‐test: B = 0.24, p = .007; 1‐test: B = 0.06, p = .53), smaller left hippocampal volume (2‐test: B = ‐195.84, p = .01; 1‐test: B = ‐131.52, p = .08), and smaller right hippocampal volume (2‐test: B = ‐161.19, p = .045; 1‐test: B = ‐134.88, p = .08). Neither criterion predicted p‐tau181, p‐tau231, or t‐tau.Conclusion2‐test criteria demonstrated stronger associations between cognitive impairment and markers of axonal injury and neurodegeneration. Incorporating multiple test scores to identify cognitive impairment could improve diagnostic specificity in TES.

AbstractBackgroundTraumatic encephalopathy syndrome (TES) is the proposed clinical syndrome of chronic traumatic encephalopathy (CTE), a neurodegenerative disease associated with repetitive head impacts in contact/collision sports. A core clinical feature of TES is cognitive impairment, particularly in memory and executive functions. Cognitive intraindividual variability (IIV) is the extent of variability in neuropsychological test performance (i.e., dispersion of test scores) and is believed to be an indicator of disruption in executive control, linked to altered fronto‐subcortical circuits. Here, we examined cognitive IIV as a method to detect subtle executive dysfunction in TES that may not be captured by traditional neuropsychological measures.MethodThe sample included former American football players (120 professional, 60 college); participants were males, aged 45‐74. Participants completed a baseline neuropsychological test battery (n = 8 excluded for suboptimal performance validity). A multidisciplinary diagnostic consensus conference classified participants using the 2021 NINDS Consensus Diagnostic Criteria for TES (see Table‐1): (1) No‐TES (n = 62); (2) TES‐CTE Suggestive (n = 35); (3) TES‐CTE Possible (n = 21); (4) TES‐CTE Probable (n = 54). TES‐CTE Possible and Probable were combined. The coefficient of variation (CoV) was used to measure cognitive IIV (CoV = iSD/iOTBM, iOTBM = average T‐score across neuropsychological tests; iSD = standard deviation of iOTBM). A higher CoV indicates greater score dispersion. To avoid circularity, memory and executive tests used for classifying TES groups were intentionally excluded from the CoV calculation. Analysis of covariance compared the TES groups on CoV, controlling for age, education, and race.ResultResults showed a significant difference in CoV between TES groups, F(2, 165) = 8.20 p<.001, partial η2 = .09. The TES‐CTE Possible/Probable group had the highest CoV (M = .226, SE = .007), compared with the TES‐no (M = .192, SE = .008, p<.001) and TES‐CTE Suggestive groups (M = .178, SE = .011, p<.001). CoV did not significantly differ between the TES‐no and TES‐CTE suggestive groups (Mdiff = 0.014, SE = .013, p = .293).ConclusionThe TES‐CTE possible/probable group had the highest cognitive IIV with ∼23% dispersion (vs. ∼18‐19% in TES‐no and TES‐CTE suggestive groups), suggesting greater cognitive variability in those with the greatest likelihood for having underlying CTE (based on TES criteria). This finding emphasizes the potential utility of exploring cognitive IIV as a method for detecting nuanced executive dysfunction in TES.

AbstractBackgroundProdromal dementia with Lewy bodies (DLB) research criteria were recently published and further work is needed to characterize the neuropsychological profile and refine clinical criteria. We performed a meta‐analysis to compare the cognitive performance of mild cognitive impairment with Lewy bodies (MCI‐LB) groups to controls, MCI due to Alzheimer’s disease (MCI‐AD), and DLB.MethodFollowing PRISMA guidelines, we searched the literature for 1) English‐language studies on MCI‐LB; 2) published January 1990‐March 2023, 3) with ≥1 standardized cognitive measure; and 4) comparison data from controls, MCI‐AD, and/or DLB. Pooled means with 95% confidence intervals were calculated for demographics. Effect sizes were calculated for group comparisons on cognitive domains. Random effects meta‐analysis models were used for group comparisons.ResultThere were 3440 participants from 27 studies across 10 countries. Mean age did not differ between groups. The percentage of female subjects was lower in the MCI‐LB group than the MCI‐AD group. Mean years of education for the MCI‐LB group was lower than the controls, but similar to MCI‐AD and DLB groups (Table 1). Compared to controls, the MCI‐LB group had lower scores for the global screening, executive function, visuospatial, language, learning, and memory domains. Compared to MCI‐AD, MCI‐LB performed better on learning and delayed recall, but similarly across other domains. Compared to DLB, MCI‐LB had better scores for global screening, executive function, language, and delayed recall (Table 2). Recognition for MCI‐LB vs. MCI‐AD; visuospatial, learning, and recognition for MCI‐LB vs. DLB could not be assessed, as fewer than 3 studies reported this data.ConclusionCognitive measures can help differentiate MCI‐LB from controls and DLB. Neuropsychological measures of learning and memory may be required to discriminate MCI‐LB from MCI‐AD in clinical practice but global screening measure scores appear insufficient in this regard. High heterogeneity across MCI‐LB studies highlights the need for harmonized neuropsychological research protocols.

ObjectiveSpondyloarthritis (SpA) is the most common extraintestinal manifestation of inflammatory bowel disease (IBD). The application of screening tools to detect SpA in patients with IBD may lead to earlier recognition of SpA and affect treatment decisions.MethodsA combination of two previously described SpA screening questionnaires, the Detection of Arthritis in Inflammatory Bowel Disease (DETAIL) and IBD Identification of Spondyloarthritis Questionnaire (IBIS‐Q), was administered to consecutive patients with IBD attending IBD specialty clinics in six US academic medical centers. Demographic data, IBD, and rheumatology history were extracted by chart review.ResultsA total of 669 patients were analyzed. The median age was 40 years (interquartile range [IQR] 30–54) with a median disease duration of 12 years (IQR 6–22) and moderate to severe IBD based on medication exposure and history of bowel surgery. A total of 81 patients (12%) carried a diagnosis of an inflammatory rheumatic disease, whereas 75 (11%) had consulted a rheumatologist during the previous year. Using published cutoffs, 180 out of 669 patients (27%) screened positive with DETAIL, 266 (40%) with IBIS‐Q, and 275 (41%) with either questionnaire. Axial symptoms were more frequently reported than peripheral musculoskeletal complaints. Notably, 189 out of 275 (69%) screen‐positive patients had neither a documented inflammatory rheumatic disease diagnosis nor a visit with a rheumatologist within the past year.ConclusionA substantial proportion of patients with IBD have symptoms suggestive of SpA, and many of these may have undiagnosed SpA. The IBIS‐Q questionnaire appears to identify more potential SpA cases than DETAIL. Strategies are needed to prioritize rheumatology consultations for those patients with IBD who are most likely to benefit.