Abstract INTRODUCTION The infectious hypothesis suggests that microbes like herpesviruses may play a role in the pathogenesis of Alzheimer's disease (AD) and other related dementias through methods that may include viral genome integration. The occurrence of herpesvirus genome integration in dementia patients has not been thoroughly characterized. METHODS Over 7500 total whole‐genome sequences from control, frontotemporal dementia/amyotrophic lateral sclerosis spectrum, Lewy body dementia (LBD), multiple system atrophy (MSA), and AD cohorts were screened for the integration of pathogen genomes using the PathSeq computational tool. RESULTS Low PathSeq scores for human herpesvirus 6 (HHV‐6) were consistent with the suspected integration of viral genome segments. The LBD and MSA cohorts had a significantly higher prevalence of this partial HHV‐6 genome integration. DISCUSSION This higher prevalence in both synucleinopathies was not noted in other herpesviruses, suggesting that the integration of HHV‐6 may play a role in a subset of these patients. Highlights Over 7500 whole‐genome sequences from controls and dementia patients were analyzed. Sequences consistent with integrated herpesviruses were identified using PathSeq. Prevalence of partial HHV‐6 integration was higher in synucleinopathies. Herpesviruses genome integration may play a role in subsets of dementia patients.
Clinical application and reporting of neurofilament quantification in neuropsychiatric disorders: an international overview
Abstract Background The quantification of Neurofilament Light chain (NfL) in blood and cerebrospinal fluid (CSF) has proven valuable for diagnosing and prognosing various neurological disorders, including Alzheimer's disease, frontotemporal dementia, amyotrophic lateral sclerosis, parkinsonism, multiple sclerosis, and ischemic damage. However, there is considerable variability in clinical and laboratory practices between centers, primarily due to different contexts of use (COU), analytical methods, and the application of cutoffs or scales. Additionally, for the same biochemical profile, the interpretation and reporting of results may vary from one center to another, raising concerns about the commutability of the tests. To date, no consensus has been reached among laboratories to define the most appropriate use of cutoffs or conclusions/comments based on NfL profiles. Method This international project involves 38 laboratories across 18 countries, all specialized in the biochemical diagnosis of neurological disorders. Using a questionnaire, we obtained descriptions from each center regarding their COU, pre‐analytical and analytical protocols (including the biological fluid and methods used to quantify NfL). Through a consensus approach, we developed a harmonized strategy for the use and reporting of NfL results across different centres according to their respective COU. Results Among the centers, 63% quantified NfL in the CSF, 87% in blood and 53% in both fluids. COU were as follow: frontotemporal dementia (71%), Alzheimer disease (71%), multiple sclerosis (61%), amyotrophic lateral sclerosis (61%), psychiatric syndrome (45%), Creutzfeldt‐Jakob disease (32%), Parkinson disease (39%), peripheral neuropathy (29%), traumatic brain injury (21%), Huntington's disease (13%), amyloid transthyretin related (11%) and cardiac arrest (8%). Most of the centers define pathological cutoffs based on publications (50%) and take age into account for this purpose (42%). Reporting is mostly transmitted through numeric results (95%). Conclusion Harmonizing cutoffs, reporting, and interpretation across various clinical contexts will facilitate the incorporation of this biomarker into routine clinical practice.
ABCA1 missense mutations are associated with Lewy body dementia
AbstractBackgroundLewy body dementia (LBD) is the second most prevalent dementia in the United States after Alzheimer’s disease (AD). Recent studies have implicated rare mutations in two lipid transport genes, ABCA1 and ATP8B4, in Alzheimer’s disease. Substantial co‐pathology and shared risk factors indicate an intersectional genetic architecture between LBD and AD; therefore, we investigated the association of rare mutations in ABCA1 and ATP8B4 with LBD. Additionally, we examined rare mutations in 25 genes involved in ABCA1‐related lipid‐specific pathway with risk of developing LBD.MethodWe annotated rare missense and loss‐of‐function (LOF) mutations in ABCA1 and ATP8B4 genes, using Ensembl Variant Effect Predictor, in previously published whole‐genome sequence data from 2,591 LBD cases and 4,027 healthy controls of European ancestry. To test the association with LBD risk, we applied the optimized sequence kernel association test (SKAT‐O), followed by single‐variant association test (Fisher’s exact test), and multiple testing (Bonferroni correction). Additionally, we evaluated rare coding variants of 25 genes in ABCA1‐related positive regulation of the cholesterol efflux pathway (GO: 0010875) by performing single‐gene burden and gene‐set burden analyses.ResultsWe found a significant enrichment of rare ABCA1 missense mutations in LBD (SKAT‐O p = 2.68E‐02). However, no significant associations were found between LBD and ABCA1 LOF, and ATP8B4 LOF or missense mutations. Interestingly, the single‐variant analysis identified two ABCA1 missense variants, c.5398A>C; p.N1800H (Fisher’s test: p‐value = 1.16E‐04) and c.3544G>A; p.A1182T (p‐value = 4.29E‐02), with the p.N1800H substitution surviving Bonferroni multiple testing. The p.N1800H variant is reported to be pathogenic, and it was observed in twelve LBD patients and one control, with an odds ratio of 18.48 (95%CI = 2.4‐142.8). This mutation is reported to be pathogenic, in our LBD cohort, six out of twelve ABCA1 p.N1800H carriers also carry the APOE ε4 risk allele. However, neither a single‐gene burden nor a gene‐set burden analysis in 25 genes in the positive regulation of the cholesterol efflux pathway revealed any significant associations with LBD.ConclusionOur findings reveal significant enrichment of ABCA1 missense mutations in LBD emphasizing the genomic complexity surrounding LBD and AD.