Scholz, Sonja W.

Introduction: Frontotemporal lobar degeneration (FTLD) is a devastating disease that commonly results in early onset dementia, yet its rarity and heterogeneity limit large-scale research and clinical trials. Remote monitoring via low-burden digital health tools may overcome these barriers. We evaluated clinical utility of passive smartphone monitoring in FTLD using a multi-domain mobile assessment platform. Methods: Participants were 567 adults (53% clinically normal, 21% prodromal FTLD, 26% symptomatic FTLD) who completed an in-person study visit and downloaded the ALLFTD Mobile App on their personal smartphones. The app delivered unsupervised cognitive tests and passively collected continuous data on battery percentage (proxy for smartphone use) and step count. Longitudinal follow-up included smartphone monitoring and annual in-person study visits. Primary analyses examined associations between passive smartphone features and markers of disease severity at baseline and longitudinally, and tested whether passive features added incremental value beyond app-based cognitive testing. Results: Passive smartphone features were feasible to collect and showed excellent reliability with <2 weeks of monitoring (ICCs>0.9). Features capturing smartphone use and movement demonstrated sensitivity to gold-standard clinical measures of disease severity both at baseline and longitudinally. A classification model combining passive features, the app-based cognitive composite score, and demographics detected longitudinal functional decline (AUC=0.89); passive features alone (AUC=0.84) performed comparably to a cognitive screener (AUC=0.85). Discussion: Passive smartphone monitoring is a valid, zero-burden measure of disease severity and progression in FTLD that adds modest incremental value beyond app-based cognitive testing. Findings support its use as a scalable digital endpoint in longitudinal FTLD research.

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.

Abstract The human X chromosome accounts for ∼5% of the genome. Despite its size, the role of X-chromosomal variants in human diseases is not well understood, mainly due to its distinct inheritance pattern and the frequent omission of sex chromosomes from genome-wide association studies. This study used whole-genome sequencing data from 888 multiple system atrophy (MSA) cases and 7128 controls to perform an X-chromosome-wide common variant association study. Our analyses revealed two sex-differential risk loci: one located at Xq28, associated with increased risk for MSA in females [index variant: rs4898389, odds ratio (OR) = 1.69, 95% confidence interval (CI) = 1.40–2.03, P-value = 2.43 × 10⁻⁸], and another at Xp22.2 within the TBL1X gene, identified in males (index variant: rs6638956, OR = 1.48, 95%CI = 1.26–1.73, P-value = 9.92 × 10⁻⁷). In the Xq28 locus, colocalization analyses pointed to FAM3A and PLXNA3 as genes of interest. These findings emphasize the vital role of sex-differential genetic factors in the pathogenesis of MSA.

Abstract Two recent studies suggested that the APOE ε4 haplotype was associated with increased α-synuclein pathology in cell and mouse models. Genetic variants in the SNCA region have strong association with Parkinson’s disease (PD), dementia with Lewy bodies (DLB) and idiopathic REM sleep behaviour disorder (iRBD), while APOE is a genetic risk determinant for only DLB. To determine if genetic-level interactions between SNCA and APOE exists that can explain the protein-level association, we investigated the genotypic interaction of APOE and SNCA in cohorts of PD, DLB and iRBD. We analysed genome-wide association study (GWAS) data from 5229 PD patients and 5480 controls, 2610 DLB patients and 1920 controls, and 1055 iRBD patients and 3667 controls. We used logistic regression interaction models across all three cohorts independently between the (i) top GWAS signals of SNCA single nucleotide polymorphisms (SNPs) and APOE haplotypes and (ii) SNP×SNP and three-way SNP interaction across the entire coding region plus 200 kb flanking each gene. No significant interactions were found to be associated with any of the synucleinopathies after correction for multiple testing. Our results do not support a role for genetic interactions between APOE and SNCA across PD, DLB and iRBD. Since the tested genetic variants affect the expression and function of these proteins, it is likely that any interactions between them do not affect the risk of PD, DLB and iRBD.

Objective Lewy body disease (LBD) is a complex neurodegenerative disorder characterized by the accumulation of misfolded α‐synuclein in the brain. Neuroinflammation has long been implicated in LBD pathogenesis, and recent genetic studies in Parkinson's disease (a clinical manifestation of LBD) have shown consistent association with the human leukocyte antigen (HLA) gene complex. Here, we assessed whether variation in HLA alleles influences neuropathological burden in a neuropathologically‐defined series of LBD cases. Methods We conducted a comprehensive analysis of HLA allelic variants in a cohort of 539 LBD cases of European descent from the Mayo Clinic brain bank. High‐resolution whole‐genome sequencing was used, and the HLA alleles of each sample were called using the HLA*LA tool and assessed for association with neuropathological outcomes. Results Our analysis identified 1 significant ( P < 3.43 × 10 −5 ) and 4 suggestive ( P < 0.001) associations between certain HLA alleles and specific neuropathological outcomes in LBD, suggesting a potential role for HLA‐mediated immune mechanisms in disease progression and subtype differentiation. Specifically, HLA‐DPB1*06:01 was significantly associated with lower Lewy body counts in the parahippocampal gyrus ( P = 3.30 × 10 −5 ), with weaker and suggestive associations observed in the middle frontal ( P = 1.80 × 10 −4 ) and inferior parietal gyrus ( P = 6.33 × 10 −4 ). Additionally, although only suggestive, HLA‐DRB1*11:01 correlated with a lower Thal amyloid phase ( P = 1.56 x 10 −4 ), and HLA‐B*15:01 correlated with an increased risk of diffuse LBD ( P = 7.58 x 10 −4 ). Interpretation This study provides a detailed evaluation of the relationship between HLA alleles and LBD pathology, highlighting the importance of immune‐related genetic factors in the etiology of LBD. ANN NEUROL 2026;99:492–501

Abstract INTRODUCTION The Genetic Frontotemporal Initiative (GENFI) and Advancing Research and Treatment in Frontotemporal Lobar Degeneration (ARTFL)‐Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) Longitudinal Frontotemporal Lobar Degeneration Study (ALLFTD) consortia developed Clinical Dementia Rating (CDR)‐derived scales with a motor domain to overcome systematic underestimation of disease severity by the CDR. We calculated disease severity scores using these scales in a mixed neurodegenerative cohort and correlated them with objective motor measures. METHODS The CDR plus National Alzheimer's Coordinating Center (NACC) Frontotemporal Lobar Degeneration (FTLD), CDR + NACC FTLD‐M (Motor), and Multidomain Impairment Rating (MIR) scores and motor measures were determined and correlated in 242 participants. RESULTS Both CDR + NACC FTLD‐M and MIR showed increased disease severity scores and correlated with motor measures. These findings were held in 81 amyotrophic lateral sclerosis (ALS) participants and correlated with the Revised Amyotrophic Lateral Sclerosis Functional Rating Scale. Including a motor domain required fewer study participants in a simulated clinical trial sample size calculation. DISCUSSION With a motor domain, CDR + NACC FTLD‐M and MIR improve disease severity classification and correlate with quantitative motor assessments. This addition more fully captures the extent of symptoms across the FTD‐ALS spectrum and improves clinical trial efficiency. Highlights CDR + NACC FTLD‐M and MIR strongly correlate with objective motor measures. The enhanced scales improve disease severity classification in FTD and ALS. Greater clinical trial efficiency is achieved using these enhanced scales.

Abstract Bioinformatics methods can be used to quantify mitochondrial DNA copy number from whole genome sequencing (WGS) data. We evaluated mitochondrial DNA copy number from human brain-derived WGS data using the fastMitoCalc tool. 341 Parkinson’s Disease cerebellum samples were compared with 74 age-matched controls from the North American Brain Expression Consortium. Parkinson’s Disease cerebellum had significantly higher mitochondrial DNA copy number compared with controls (P = 4.15e–7), and this effect was reproducible in four of five brain banks when analysis was restricted to each resource that contributed Parkinson’s Disease samples to this genetic dataset. Follow-on analyses of 128 Parkinson’s Disease cerebellum samples and 33 controls that had paired neuropathology data and clinical scores demonstrated a significant increase in mitochondrial DNA copy number with Unified Staging System for Lewy Body disorders stages and Unified Parkinson’s Disease Rating Scale (off meds) motor scores. Analysis of Lewy Body scores from ten brain regions showed cerebellum mitochondrial DNA copy number increased upon pathological infestation of α-synuclein aggregates in the brainstem and limbic system but did not increase after late-stage neocortical involvement. This genetics dataset supports previous observations of cerebellum activation in Parkinson’s Disease and suggests mitochondrial DNA copy number may increase to support this regional activation as a compensatory mechanism to pathology or motor symptoms.

Abstract Dementia with Lewy bodies (DLB), a progressive neurodegenerative disease with heterogeneous clinical presentations, greatly impacts patients, caregivers, and society. Despite its frequency, diagnosing and treating DLB remains challenging. Advances in in vivo biomarker assays reflecting underlying pathology are improving disease identification, diagnostic accuracy, and therapeutic development for biologically targeted, disease‐modifying agents. Consequently, definitions of Alzheimer's disease and Parkinson's disease (PD) have shifted to focus on pathological changes occurring before clinical features, with proposed frameworks for detecting pathological amyloid and tau, neurodegeneration, and other markers (National Institute on Aging‐Alzheimer's Association) and alpha‐synucleinopathy and dopaminergic degeneration (Neuronal α‐synuclein Disease Integrated Staging System, SynNeurGe). The biological frameworks, particularly those related to alpha‐synuclein (α‐synuclein), have sparked debate about unifying DLB and PD under a single pathobiologic disease. This paper discusses the implications of these biological frameworks for the DLB community, addressing topics regarding multiple pathologies and neurochemical systems, clinical heterogeneity, and functional impairment, and exploring the potential impact on clinical trials and care. Highlights DLB is a progressive neurodegenerative disease with varied clinical presentations. Diagnosing and treating DLB remains challenging despite its frequency. Biological frameworks are reshaping Alzheimer's and Parkinson's definitions. In vivo biomarkers are improving DLB identification and diagnostic accuracy. Debate exists regarding unifying DLB and Parkinson's under one pathobiology.

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.

Abstract To elucidate the molecular basis of multiple system atrophy (MSA), a neurodegenerative disease, we conducted a genome-wide association study (GWAS) in a Japanese MSA case/control series followed by replication studies in Japanese, Korean, Chinese, European, and North American samples. In the GWAS stage, rs2303744 on chromosome 19 showed a suggestive association (P = 6.5 × 10− 7) that was replicated in additional Japanese samples (P = 2.9 × 10− 6, odds ratio (OR) = 1.58; 95% confidence interval (CI), 1.30–1.91), and then confirmed as highly significant in a meta-analysis of East Asian population data (P = 5.0 × 10− 15, OR = 1.49; 95% CI 1.35–1.65). The association of rs2303744 with MSA remained significant in combined European/North American samples (P = 0.017, OR = 1.12; 95% CI 1.02–1.23) despite allele frequencies being quite different between these populations. rs2303744 leads to an amino acid substitution in PLA2G4C that encodes the cPLA2γ lysophospholipase/transacylase. The cPLA2γ-Ile143 isoform encoded by the MSA risk allele has significantly decreased transacylase activity compared with the alternate cPLA2γ-Val143 isoform, and may perturb membrane phospholipids and promote oligodendroglial pathology.