Neuropathology and Applied Neurobiology

Twenty percent of familial amyotrophic lateral sclerosis (fALS) cases are linked to mutations in the Superoxide Dismutase 1 (SOD1) gene and accumulation of misfolded SOD1 aggregates. SOD1 misfolding from the broader ALS population without SOD1 mutations is less clear. Here, we report SOD1 seeding activity in antemortem cerebrospinal fluid (CSF) from ALS participants with and without SOD1 mutations during ALS progression. Antemortem CSF from controls, SOD1-ALS, and sporadic ALS (sALS) patients was subjected to SOD1 seed amplification real-time quaking induced conversion (RT-QuIC) assays. SOD1-ALS CSF exhibited shorter lag phase and increased ThioflavinT (ThT) fluorescence amplitude compared to healthy controls and those with spinal muscular atrophy. CSF from sALS participants, who had no mutations in SOD1 or nine other ALS risk genes, also displayed SOD1 seeding activity, indicating wild-type SOD1 is aggregate-prone in the broader ALS population. Longitudinal CSF data indicated that SOD1 seeding activity correlates with ALS progression via the ALS Functional Rating Scale Revised (ALSFRS-R) slope decline and CSF neurofilament light. Our sALS CSF cohort primarily comprised of participants less than 2 years from symptom onset, suggesting that SOD1 seeding activity is an early biomarker that may enable inclusion in clinical trials. With the FDA-approval of tofersen (Qalsody), a SOD1-lowering antisense oligonucleotide, new SOD1 diagnostic, prognostic and pharmacodynamic biomarkers may enable SOD1-targeting strategies that could benefit the broader ALS population.

Abstract Objectives: Amyotrophic lateral sclerosis (ALS) is a clinically heterogeneous neurodegenerative disease requiring reliable biomarkers to improve patient stratification and trial design. While serum neurofilament light chain (sNfL) reflects neuroaxonal stress and disease aggressiveness, troponin T (TnT) may capture complementary aspects of neuromuscular involvement. We assessed the associations of TnT and sNfL with D50-derived measures of disease aggressiveness (D50) and disease accumulation (rD50) in ALS. Material and Methods: In this retrospective observation, TnT and sNfL levels from ALS patients in two independent German cohorts were analyzed using the D50 disease progression model; discovery cohort (Essen, n =433) and validation cohort (Bonn, n =185). Results: In both cohorts TnT demonstrated a robust correlation with rD50-defined phases across all aggressiveness subgroups (p<0.001). There was no consistent pattern regarding sNfL and the rD50 phases. sNfL concentrations demonstrated a significant and inverse correlation with D50 applied for all disease aggressiveness subgroups (p<0.001). Correlations of TnT levels with D50 disease aggressiveness groups were generally less strong and inconsistent between the two cohorts. In the discovery cohort only low aggressiveness subgroups correlated significantly (p<0.001), intermediate aggressiveness subgroups showed only a weak correlation (p<0.05) with TnT levels. High disease aggressiveness subgroups showed no significant correlation with TnT. Conclusion: In application of the D50 disease progression model, TnT was strongly associated with disease accumulation (rD50) across all disease phases, independent of disease aggressiveness (D50), whereas sNfL robustly reflected disease aggressiveness but not overall disease burden. These complementary biomarker profiles highlight the value of an integrated approach for refined disease stratification in ALS. Combining TnT and sNfL may enhance clinical decision-making, improve monitoring of disease progression and treatment response, and support optimized clinical trial design.

Motor neuron (MN) loss is a hallmark of neurodegenerative disorders, yet its assessment remains variable, confounding mechanistic and therapeutic interpretation. To address this, we conducted a systematic review and meta-analysis of spinal muscular atrophy (SMA) mouse studies, revealing 60% variability in reported MN loss, largely attributable to nonspecific spinal cord sampling. Using a whole-segment approach with tissue clearing, MN tracing, and multimodal imaging, we confirmed segment-dependent differences in MN counts. Common MN markers (SMI-32, Nissl) lacked specificity, whereas choline acetyltransferase (ChAT) provided robust labeling in murine and human spinal cords. Deep learning-based whole-mount segmentation enabled unbiased MN quantification and validated manual counts. Integrating analysis with computational modeling established segment sampling as a key driver of variability and revealed degeneration patterns: widespread MN loss in amyotrophic lateral sclerosis (ALS), selective MN loss in severe SMA, and preservation in mild SMA models. These findings establish a framework for reproducible MN quantification. HighlightsO_LISpinal cord segment-specific analysis reduces variability and allows accurate MN quantification C_LIO_LIChAT is the most reliable MN marker in murine and human spinal cords C_LIO_LIDeep learning-based segmentation enables unbiased MN quantification in intact spinal cords C_LIO_LIMN degeneration is widespread in ALS but restricted to pools innervating proximal muscles in severe SMA C_LI

TDP-43 dysfunction is a defining feature of amyotrophic lateral sclerosis (ALS), yet no biofluid biomarker directly measures its functional activity. We developed a serum-based homogeneous time-resolved FRET (hTR-FRET) assay that quantifies TDP-43 RNA-binding activity using synthetic UU rich RNA probes. We analyzed 1,080 serum samples from controls, sporadic ALS, and genetic subgroups (C9orf72, SOD1) across multiple biorepositories. Cross-sectionally, TDP-43 ligation activity was elevated in ALS (mean 390 a.u.) versus controls (304 a.u.), yielding AUC = 0.79. Genotype means were 392 a.u. (sporadic), 382 a.u. (C9orf72), and 323 a.u. (SOD1); with a 366 a.u threshold achieved 95% specificity against controls. Longitudinally, Target ALS showed a modest but significant inverse correlation between TDP-43 activity and ALSFRS-R, while other cohorts exhibited similar non-significant trends. Elevated signal likely reflects increased extracellular, probe-competent TDP-43 species. This assay provides direct functional measurement of disease-relevant TDP-43 biology, supporting applications in diagnostic discrimination, genotype stratification, and progression monitoring in prospective studies.

Mislocalization and aggregation of transactive response DNA-binding protein 43 kDa (TDP-43) represent a neuropathological hallmark of amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD) and are increasingly recognized in Alzheimers disease (AD) and limbic-predominant age-related TDP-43 encephalopathy (LATE). However, the in vivo value of CSF TDP-43 as a biomarker and its relation to established markers remains unclear. We quantified CSF concentrations of TDP-43 using ELISA in 25 controls, 32 ALS, 9 probable LATE, and 24 AD patients. CSF TDP-43 levels differed significantly between groups, with the highest concentrations in LATE, exceeding both ALS and AD. ALS and AD showed intermediate, comparable increases versus controls. In parallel, conventional AD biomarkers (t-tau, p-tau, and amyloid-b) showed the expected AD-typical profile but remained largely unaltered in probable LATE, indicating a dissociation between TDP-43 an AD-type pathology. These findings identify CSF TDP-43 as a promising candidate biomarker for LATE, characterized by disproportionate elevation in the absence of AD-type biomarker changes, and neurodegeneration in aging populations.

Multiple system atrophy (MSA) is a sporadic progressive neurodegenerative disorder characterised by central nervous system alpha-synuclein inclusions. MSA pathologically most commonly shows a spectrum of two patterns, olivopontocerebellar atrophy and striatonigral degeneration, with significant overlap. Although germline variants are unlikely to play a major role, an association with the KCTD7 gene was recently reported. Somatic mutations are abundant in the brain, and may play a role in neurodegeneration. In MSA, somatic SNCA (alpha-synuclein) copy number gains occur, but single nucleotide mutations have not been investigated. In Alzheimers disease, somatic mutations in tumour suppressor genes were reported in microglia. We hypothesised that brain somatic mutations in SNCA, KCTD7, or the tumour suppressor genes mutated in Alzheimers, may contribute to MSA. To test this, we developed a targeted duplex sequencing pipeline using unique molecular identifiers, encompassing SNCA, KCTD7, and 10 tumour suppressor genes. Seven of these are involved in clonal haematopoiesis, an age-related process which predisposes to haematological malignancy, and can be subdivided into myeloid and lymphoid, based on the cell type affected, with the former much more frequent. We analysed DNA from the cerebellum, cingulate cortex, and putamen of 20 MSA cases (10 olivopontocerebellar atrophy, 10 striatonigral degeneration) and 9 controls. We observed an enrichment of clonal haematopoiesis gene mutations in MSA brains (median 1 vs 0, p=0.054). These included mutations in DNMT3A and TET2, the most frequently affected myeloid clonal haematopoiesis genes, and a recurrent mutation in three cases in KMT2D, a lymphoid clonal haematopoiesis gene. Clonal haematopoiesis mutations were often found in multiple brain regions, and multiregional mutations occurred in 12/20 MSA cases versus 1/9 controls (p=0.020), with 11 cases harbouring clonal haematopoiesis mutations in all three brain regions, compared to 0/9 controls (p=0.005). In striatonigral degeneration, clonal haematopoiesis mutations showed elevated variant allele fractions in the most pathologically affected region, the putamen, versus the cerebellum (p=0.013). MSA clonal haematopoiesis mutations included eight unique non-synonymous variants, which had higher allelic fractions than synonymous changes (p=0.076), and five of these were predicted to confer a proliferative advantage and were found in multiple brain regions. We detected no coding SNCA mutations, and the small number of KCTD7 variants, including one coding deletion, precludes any conclusions. These findings reveal enrichment of clonal haematopoiesis mutations in MSA brain, potentially due to infiltration from the periphery, suggesting a disease-associated proliferative process extending beyond peripheral haematopoiesis.

Despite important advances in understanding the etiopathology of multiple sclerosis, factors determining disease progression remain partially understood and often difficult to predict. Specific diagnostic and prognostic biomarkers are needed to optimize the risk-benefit ratio of treatment for each patient. The aim of our study was to identify a cerebrospinal fluid proteomic signature associated with diagnosis and short- to mid-term prognosis across the multiple sclerosis continuum. Our multicentric cohort study analyzed CSF samples from 120 patients using a proteomics data-independent acquisition strategy. Differentially expressed proteins were identified across diagnostic groups: 62 patients with multiple sclerosis, 15 patients with clinically isolated syndrome, and 43 healthy controls. We also compared the CSF of patients with no evidence of disease activity with those with disease activity at 2 and 5 years of follow-up. A diagnostic and prognostic classification model was built using iterative cross-validated logistic regression models on shared differentially expressed proteins across these two comparisons. A total of 1,257 proteins were quantified, and 162 differentially expressed proteins were identified across comparisons. We identified a set of ten proteins associated with the diagnosis and prognosis of multiple sclerosis, including previously identified potential biomarkers (CH3L2, IGHG1, IGKC, LAMP2, ADA2), proteins known to be involved in the pathophysiology of multiple sclerosis (A0A8J8YUT9, AT2A2, CO3A1) and two yet unreported proteins (DSC2 and MMRN2). Multivariate models based on these proteins achieved good accuracy for the diagnosis of MS compared with CIS (area under the receiver operating characteristics curve [AUROC] up to 80% using 3 proteins) and prognosis (NEDA vs. EDA; AUROC up to 96% at 2 and 5 years; using 5 proteins). These results, which will require further investigation to validate the new biomarkers, open new perspectives on multiple sclerosis pathophysiology and therapeutic targets.

BackgroundAmyotrophic lateral sclerosis (ALS) is characterized by profound metabolic reprogramming, yet the lack of biomarkers for specific druggable targets remains a major hurdle for precision medicine. We hypothesized that peripheral lipid biosynthetic signatures could serve as both prognostic indicators and a roadmap for identifying novel disease-modifying targets. MethodsWe assessed serum fatty acid (FA) metabolic pathways in two independent longitudinal cohorts (n = 37 and n = 38) using high-dimensional CoxBoost modeling. Primary outcomes were survival and functional staging milestones, including non-invasive ventilation and gastrostomy. The biological relevance of the identified candidate was further assessed through correlation with plasma neurofilament light-chain (NfL) levels. Causality and therapeutic potential were validated in Drosophila melanogaster models of TDP-43 proteinopathy via genetic ablation and pharmacological inhibition. ResultsOur multi-parametric model, comprising two clinical variables and the estimated ELOVL6 (elongation of very long-chain fatty acids protein 6) activity, demonstrated robust prognostic accuracy (Unos C 0.69) across both cohorts; ELOVL6 activity served as a strong independent predictor of mortality and functional decline. Notably, high ELOVL6 activity significantly correlated with elevated plasma NfL levels (p < 0.01), linking peripheral elongation imbalances to central axonal damage. In Drosophila, ELOVL6 overactivation was identified as a conserved pathological consequence of TDP-43 dysfunction, characterized by an increased C18:0/C16:0 ratio in both loss-of-function and gain-of-function models. Inhibition of ELOVL6, either genetically or pharmacologically, rescued neuromuscular junction integrity, prolonged survival, and significantly reduced pathological TDP-43 phosphorylation in glial models. ConclusionThese findings position ELOVL6 as a promising modifiable metabolic node with potential for disease-modifying intervention in ALS. Beyond its potential utility for identifying high-risk metabolic profiles and assisting in prognostic counseling, ELOVL6 bridges systemic lipid dysregulation with TDP-43 proteinopathy. Targeting this pathway offers a dual opportunity: as a biological marker to supplement clinical staging and as a druggable enzymatic target to ameliorate motor neuron degeneration. HIGHLIGHTSO_LISystemic ELOVL6 activity is a robust independent predictor of ALS survival. C_LIO_LIHigh ELOVL6 levels correlate with plasma NfL and functional decline. C_LIO_LIInhibition of ELOVL6 rescues NMJ integrity and survival in Drosophila models. C_LIO_LIPharmacological targeting of ELOVL6 reduces glial TDP-43 phosphorylation. C_LIO_LIELOVL6 represents a druggable metabolic node linking lipids to proteinopathy. C_LI

BackgroundALS is increasingly recognized as a biologically heterogeneous disease in which several molecular and pathological mechanisms converge on a similar clinical phenotype. One of these molecular markers is ferritin accumulation which is observed in a subset of ALS cases and has been shown to directly correlate with TDP-43 pathology in some brain regions. Additionally, TDP-43 proteinopathy is observed outside of ALS which may complicate the interpretation of case vs control approaches to target discovery. Here, we propose a pathology-stratified approach to empower targeted theranostics. We hypothesised that biologically distinct ALS subtypes may be defined by specific metabolic dysfunction linked to brain-accumulated ferritin and TDP-43 pathology. MethodsPost-mortem primary motor cortex tissue from 15 ALS cases and 20 age- and sex-matched controls was stratified, using immunohistochemistry, by single- or co-occurrence of ferritin accumulation, and pathological TDP-43. Untargeted metabolomics (>1,000 metabolites) was performed, and samples were stratified into dual positive (ferritin and TDP-43), single positive (either), or negative. Group-discriminating metabolites were identified using partial least squares discriminant analysis. ResultsDual ferritin and TDP-43 pathology reflected a distinct metabolomic profile, separable from single-pathology states. This dual positive metabolic signature was characterised by disruption of lysophospholipid, lysoplasmalogen, and fatty acid metabolism, consistent with impaired membrane and energy homeostasis. In contrast, pathological TDP-43 presence without ferritin, was characterised metabolically by significant depletion of secondary bile acids and increase in glycosylation markers, whilst ferritin accumulation alone reflected significant increase in oxidative stress and depletion of lipid peroxidation inhibition markers. The dual positive state suggests failure of compensatory metabolic responses present in single-pathology conditions. ConclusionsFerritin accumulation and TDP-43 pathology define biologically distinct subtypes associated with ALS with divergent metabolic vulnerabilities. The metabolic signature associated with dual pathology provides a mechanistic correlate to MRI-visible ferritin accumulated iron, supporting paired non-invasive biomarker and target discovery for pathology-dependent patient stratification. These findings argue for pathway-targeted, subtype-specific therapeutic strategies and highlight the necessity of precision medicine approaches in ALS. Short abstractAmyotrophic lateral sclerosis (ALS) exhibits profound molecular heterogeneity that is not captured by current clinical classifications. Additionally, TDP-43 proteinopathy is observed outside of ALS which may complicate the interpretation of case vs control approaches to target discovery. Here, we propose a pathology-stratified approach to therapeutic target discovery, identifying convergent iron dysregulation and TDP-43 pathology with specific metabolic consequences. Post-mortem primary motor cortex tissue from 15 ALS cases and 20 controls was investigated for ferritin, and pathological TDP-43 using RNA aptamer-based immunostaining. Untargeted metabolomics (>1,000 metabolites) was performed with stratification into dual positive, single positive, or negative groups, followed by partial least squares discriminant analysis. Dual ferritin and TDP-43 pathology produced a distinct metabolic state characterised by disruption of lysophospholipid, lysoplasmalogen, and fatty acid metabolism, indicating impaired membrane integrity and energy homeostasis. In contrast, single positive states engaged divergent compensatory pathways involving bile acid metabolism, glycosylation, or oxidative stress regulation. Ferritin-TDP-43 convergence defines a metabolically decompensated ALS subtype corresponding to MRI signatures, providing a mechanistic basis for imaging-guided, pathology-dependent patient stratification and targeted intervention. Key FindingsO_LIMetabolically distinct subtypes were defined by the presence or absence of ferritin-associated iron accumulation and TDP-43 pathology in the primary motor cortex. C_LIO_LIConcurrent ferritin and TDP-43 pathology produce a unique, metabolically decompensated state characterised by disrupted lipid, membrane, and energy metabolism, distinct from either pathology alone. C_LIO_LISingle positive states engage divergent compensatory metabolic pathways, which are lost when ferritin and TDP-43 co-occur. C_LIO_LIThe metabolic signature of dual positivity provides a mechanistic correlate to the MRI-visible motor band sign. C_LIO_LIThese findings support the use of pathology-based stratification of ALS patients and a foundation for pathway-targeted, precision therapeutic approaches. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC="FIGDIR/small/711539v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@69d482org.highwire.dtl.DTLVardef@1fee3a4org.highwire.dtl.DTLVardef@1135017org.highwire.dtl.DTLVardef@ef3f96_HPS_FORMAT_FIGEXP M_FIG C_FIG

BackgroundAccurate diagnosis of multiple system atrophy (MSA) is critical for clinical management and efficient trial designs, yet remains challenging, particularly distinguishing MSA (especially cerebellar-subtype [MSA-C]) from sporadic adult-onset ataxia (SAOA). Combining a marker of neuroaxonal degeneration, neurofilament light chain (NfL), with a marker of the pathogenic MSA hallmark, -synuclein seeding activity, may define a mechanistically-informed CSF signature of MSA, enabling sensitive and specific differentiation from SAOA even in early disease. MethodsWe analyzed 60 cross-sectional patient CSF samples (n=32 clinically diagnosed MSA [MSAclin] 22/32 MSA-C; n=28 SAOA) for NfL (Simoa) and -synuclein seeding activity (seed amplification assay [synSAA], Piperazine-N,N-bis(2-ethanesulfonic acid)-based), and assessed diagnostic accuracy, disease-duration correlations, and trial power using biomarker-based stratification. ResultsAge-adjusted NfL was higher in MSAclin than SAOA (3859 vs. 997pg/mL), yielding 96.9% sensitivity and 85.7% specificity. SynSAA was concordant with clinical diagnosis (25/32 MSAclin synSAA-positive; 23/28 SAOA synSAA-negative), with 78.1% sensitivity and 85.2% specificity (all confirmed in MSA-C subgroup). Both biomarkers displayed divergent trajectories with disease duration: NfL peaked early before declining (r=-0.45, p=0.01); whereas synSAA maximum fluorescence intensity increased (r=0.42, p=0.016), suggesting greater synSAA signal with accumulating MSA burden. Integrating both biomarkers in MSA treatment trials allows sample-size reduction by 20% versus NfL alone. ConclusionsCSF NfL and synSAA capture complementary aspects of MSA biology: while NfL provides high diagnostic accuracy for MSAclin, peaking early, synSAA adds mechanistic specificity for -synuclein seeding activity and might allow target engagement assessment. Combined, they might enable biological diagnostic frameworks, molecular trial stratification, and treatment monitoring in MSA. Key messagesO_ST_ABSWhat is already known on this topicC_ST_ABSWhile highly warranted for clinical management and efficient treatment trial design, accurate diagnosis of multiple system atrophy (MSA) against overlapping and reciprocally mimicking conditions such as sporadic adult-onset ataxia (SAOA) remains clinically challenging, especially in early disease stages. A mechanistically informed biofluid signature of MSA might enable sensitive and specific differentiation from SAOA, even in early disease stage. Recently merging molecular markers reflecting neuroaxonal damage (NfL) and -synuclein seeding activity (measured by the seed amplification assay; synSAA) might here show particular promise. What this study addsThis is the first study to systematically assess the ability of both CSF NfL and CSF -synuclein seeding activity to distinguish clinically diagnosed MSA (MSAclin) from SAOA, thereby offering a window into underlying MSA biology in patients in vivo. Our findings suggest that the rate of axonal degeneration is most pronounced in early MSA disease stages but decreases with longer disease duration; whereas -synuclein seeding signal activity increases as MSA-related disease burden accumulates. Finally, it demonstrates the impact of a combined molecular fluid signature of MSA for improving trial design: a biomarker-based stratification of MSA subjects in future MSA treatment trials combining NfL plus -synuclein seeding activity allows to reduce sample sizes by 20% compared to NfL alone. How this study might affect research, practice or policyThe findings from this study may help to molecularly diagnose patients with MSA against overlapping and reciprocally mimicking conditions such as SAOA, in particular and even in early disease stages. Moreover, they might lay the foundation for a future biologically-informed diagnostic framework of MSA; support trial stratification for more efficient upcoming MSA treatment trials; and might facilitate molecular treatment effect monitoring in MSA, in particular in synuclein-targeted treatment trials.

Synucleinopathies are a group of neurodegenerative diseases characterized by the presence of misfolded -synuclein inclusions which cause progressive disease by spreading throughout the brain in a prion-like manner. Throughout the neurodegenerative disease field, the ability of a single protein to give rise to multiple distinct clinical disorders is explained by the strain hypothesis, or the idea that the misfolded protein conformation determines the resulting disease. This was initially shown using transmission studies in cell lines and mouse models; more recently cryo-electron microscopy (cryo-EM) validated this idea by identifying distinct -synuclein filament folds in brain tissues from patients with Parkinsons disease, multiple system atrophy (MSA), and juvenile-onset synucleinopathy. However, very little is known about the -synuclein filament structures that form in animal models of these disorders, and thus their relevance to human disease and suitability as models for therapeutic development remains a question. Here we report the first atomic resolution cryo-EM structures of -synuclein fibrils from an MSA patient sample before and after transmission to a transgenic mouse model of disease. Our findings indicate that while distinct adaptations occur during fibril replication in the mouse host, key structural facets are maintained, validating the merits of this transmission model for supporting preclinical research on MSA.

ObjectivesTo evaluate the diagnostic performance of the -synuclein seed amplification assay (SAA) and characterize the impact of -synuclein co-pathology on cognitive and biological profiles in routine clinical practice. MethodsWe included 398 patients from the prospective multicenter ALZAN cohort recruited from memory clinics in Montpellier, Nimes, and Perpignan. All participants underwent CSF and blood sampling with measurement of CSF biomarkers (A{beta}42/40, tau, ptau181) and plasma biomarkers (A{beta}42/40, ptau181, ptau217, GFAP, NfL). Cognitive assessment was performed using the Mini-Mental State Examination (MMSE). Clinical diagnoses were independently confirmed by two senior neurologists. Syn status was determined by SAA (RT-QuIC). ResultsOf 398 patients, 19 out of 20 patients with Lewy body dementia (LBD) (95.0%) and 32 out of 203 patients with AD (15.8%) were SAA+. SAA-positivity presented a sensitivity of 95% and a specificity of 93.5% for distinguishing LBD from patients without LBD or AD. In the entire cohort, SAA+ patients showed lower MMSE scores (p<0.01), lower CSF A{beta}42/40 ratio (p<0.01), and elevated plasma GFAP (p<0.05). Within the AD group, no significant differences in CSF or blood biomarkers were observed between SAA+ and SAA-patients. Within the AD subgroup, no significant differences in CSF or blood biomarkers were observed between SAA+ and SAA-patients, except for a lower CSF A{beta}42/40 ratio in SAA+ patients (p<0.01). InterpretationSAA demonstrates good diagnostic capabilities for detecting LBD and confirms notable Syn co-pathology in AD. This study highlights the limitations of routine CSF and emerging blood biomarkers in capturing Syn pathology and the value of integrating SAA into routine neurodegenerative disease assessment.

BACKGROUND: Increasing evidence suggests that accurate prediction of Alzheimer disease (AD) symptom onset requires more than amyloid- and tau-centric biomarkers such as cerebrospinal fluid (CSF) A{beta}42/40, total tau and p-tau181 and plasma p-tau217. Autosomal dominant AD (ADAD), caused by pathogenic PSEN1, PSEN2 and APP mutations with predictable age at symptom onset, presents a unique opportunity to characterize the chronological changes in proteins beyond amyloid and tau and clarify them as early biomarkers of disease onset or as biomarkers related to disease staging and progression monitoring. METHODS: We measured 972 CSF samples corresponding to 484 participants of the Dominantly Inherited Alzheimer Disease Network (DIAN) using the NULISASeq 120 CNS Disease Panel. We first benchmarked the technology against gold-standard measurements followed by the identification of proteins that were differentially abundant in relation to mutation status and symptomatology. Next, we determined the chronological emergence of protein changes in relation to the estimated years to onset (EYO). Finally, we assessed whether specific protein measures improved the prediction of EYO in the ADAD. FINDINGS: NULISA measurements were comparable to those previously published. We demonstrated that known early alterations in CSF amyloid and tau were followed by inflammatory and neurodegenerative responses suggesting that clinical manifestation of AD happens before the inflammatory processes is fully developed. Finally, we found a multi-protein composite approach for predicting EYO that outperformed single biomarker values. INTERPRETATION: Our results suggest that the main CSF proteomic landscape changes in ADAD are due to the presence of a pathogenic mutation and occur prior to symptom onset. Improved performance of multi-protein composite to predict EYO compared to single biomarker values highlights the added value of multiplex proteomic signatures for biomarker panel development. FUNDING: National Institute on Aging, Alzheimers Association, German Center for Neurodegenerative Diseases, Raul Carrea Institute for Neurological Research, Japan Agency for Medical Research and Development, Ministry of Health & Welfare and Ministry of Science and ICT, Republic of Korea, Spanish Institute of Health Carlos III.

Introduction: Glioblastoma multiforme (GBM) remains the most lethal primary brain tumor with median survival of 14-15 months. Current prognostic markers inadequately stratify patient outcomes. PINK1 (PTEN-induced putative kinase 1), a mitochondrial kinase regulating mitophagy and cellular stress responses, has emerged as a promising prognostic candidate. Our preliminary analysis of 20 GBM cases demonstrated significant PINK1 expression with correlation to aggressive phenotypes (Turizo Smith et al., 2025). This multicenter study aims to prospectively validate PINK1 as a prognostic biomarker for survival and functional outcomes in a Latin American cohort. Methods and analysis: PINK1-GBM Colombia is a multicenter, observational cohort study across four tertiary hospitals in Bogota, Colombia (Hospital de Kennedy, Hospital El Tunal, Hospital Santa Clara and Hospital Universitario de la Samaritana). We will enroll at least 26-50 adults (18+ years) with newly diagnosed IDH-wild type GBM undergoing surgical resection. PINK1 expression will be quantified by immunohistochemistry (IHC) on formalin-fixed paraffin embedded (FFPE) tissue using standardized protocols. Primary outcomes: overall survival (OS) and progression-free survival (PFS). Secondary outcomes: functional status trajectories (KPS/ECOG). Follow-up extends 24 months with clinical, imaging (RANO 2.0), and telephone assessments. Survival analyses will employ Kaplan-Meier methods, log-rank tests, and Cox proportional hazards models adjusted for established prognostic factors. Ethics and dissemination: Approved by Universidad Nacional de Colombia Ethics Committee (Acta 001, February 5, 2026; Ref: 2.FM.1.002-CE-002-26), Subred Sur Occidente (P-AP-19-2025, July 11, 2025), and Subred Centro Oriente (CEI 067/2025, October 24, 2025). Conducted per Declaration of Helsinki and Colombian Resolution 8430/1993. Results will be disseminated via peer-reviewed publication, international conferences, and thesis submission.

IntroductionAmyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with limited treatment options. Masitinib, a tyrosine kinase inhibitor targeting microglial and mast cell activity in ALS pathogenesis, offers potential neuroprotection. This study presents a post-hoc analysis of long-term survivors treated with masitinib at 4.5 mg/kg/day in study AB10015, comparing observed survival to predicted and historical benchmarks. MethodsStudy AB10015 was a randomized, double-blind, placebo-controlled trial assessing masitinib with riluzole in ALS patients. Overall survival (OS) was measured from symptom onset to death, encompassing the double-blind period and post-study follow-up, including an optional, open-label program. The ENCALS model predicted survival of long-term survivors ([&ge;]5 years). A delay in the need for mechanical assistance, such as permanent ventilation, gastrostomy, tracheostomy, or wheelchair dependence, was used as a surrogate measure for quality of life (QoL). ResultsAmong 130 patients receiving masitinib 4.5 mg/kg/day, the 5-year survival rate from onset was 42.3%, increasing to 50.0% in patients with an ALSFRS-R progression rate from disease onset of <1.1 points/month (AB10015 primary efficacy population) and 52.9% in a subgroup of patients without complete loss of functionality at baseline. Half of the long-term survivors had satisfactory QoL, defined as no mechanical assistance. The median OS for long-term survivors (n=55) was 121 months versus the ENCALS-predicted 42 months, yielding a 79-month residual median survival gain. Long-term survivors were prevalent across ALS baseline prognostic factors, including slow or moderate disease progression rate ({Delta}FS), severe or moderate functional severity, bulbar or spinal site of onset, respiratory function and age. Long-term survival was less likely in patients with complete loss of function at baseline or fast progressing disease ({Delta}FS [&ge;]1.1 points/month) at baseline. ConclusionsMasitinib treatment in ALS patients showed substantial survival benefit. Long-term survivors were largely independent of ALS prognostic factors, suggesting a subpopulation driven by microglial/mast cell activity. A recently identified biomarker detecting masitinibs effect on pro-inflammatory microglia may help identify responsive patients.

Amyotrophic lateral sclerosis (ALS) is a rapidly progressing neurodegenerative disease with a heterogeneous clinical presentation, complicating early diagnosis and therapeutic monitoring. To identify disease-specific biomarkers, we performed an unbiased cerebrospinal fluid (CSF) proteomic analysis in 87 ALS patients, 89 healthy controls, and 61 neurological controls using data-independent mass spectrometry. Across all quantified proteins, 399 were significantly dysregulated in ALS, including established neurodegeneration (NEFL, NEFM, UCHL1) and neuroinflammatory (CHIT1, CHI3L1, CHI3L2) markers. Correlation and pathway analyses uncovered dysregulation of immune, synaptic, and metabolic processes, with aberrant complement activation emerging as a hallmark. Complement proteins increased progressively with declining ALS Functional Rating Scale-Revised and longer disease duration, whereas early-stage markers (CLSTN3, CHAD, RELN) indicated pre-symptomatic neuronal and synaptic disruptions. Machine learning identified a minimal five-protein CSF panel (MB, ITLN1, YWHAG, FCGR3A, PGAM1) that accurately distinguished ALS patients from healthy controls, capturing disease-specific pathophysiology beyond general neurodegeneration. Our findings define a robust ALS-specific CSF proteomic signature, reveal prognostic protein candidates across disease stages, and provide a framework for diagnostic biomarker development, enabling earlier intervention and monitoring.

Friedreichs ataxia (FA) is a rare autosomal recessive neurodegenerative disorder caused by reduced expression of frataxin, a mitochondrial protein important for iron-sulfur cluster assembly and mitochondrial homeostasis. Although FA has traditionally been attributed to neuronal dysfunction, increasing evidence suggests that glial cells play a critical role in disease progression, although their contribution remains poorly defined. Using the FXNI151F mouse model, we investigated cell-type-specific metabolic and redox alterations in neurons and glial populations from the cerebrum, cerebellum, and dorsal root ganglia (DRG). Neuronal and glial-enriched fractions were isolated by immunomagnetic separation and analyzed for mitochondrial function, iron metabolism and reactive oxygen species (ROS). The analyses identified the DRG as the most severely affected region, exhibiting early and pronounced mitochondrial respiratory deficits, increased ROS, mitochondrial iron accumulation, lipid peroxidation, and reduced levels of glutathione peroxidase 4 and nuclear factor erythroid 2-related factor 2 in both neuronal and non-neuronal cells. These results highlight the vulnerability of sensory neurons and their supporting satellite glial cells. In contrast, in the cerebrum and cerebellum, astrocytes displayed earlier and more severe alterations than neurons, including impaired respiratory chain efficiency, disrupted complex I-III supercomplex interaction, elevated ROS, and hallmarks of ferroptosis. Neuronal abnormalities emerged later, suggesting that glial dysfunction precedes -or drives- neuronal pathology within the central nervous system. Overall, these findings reveal pronounced region and cell-type-specific vulnerabilities in FA and support the importance of targeting glial mechanisms--particularly iron dysregulation, oxidative stress, and ferroptosis-- as targets for potential therapeutic strategies.

SARM1 and NMNAT2 are two well described players in the Programmed Axon Death (PAxD) pathway. However, less is known about their transcriptional regulation, especially in humans, despite evidence that their expression levels influence axon vulnerability and thus modulation of expression presents a potential therapeutic target. Here, we used in-cell luciferase assays to functionally study the promoter regions of the human NMNAT2 and SARM1 genes. We find that human NMNAT2 expression can be driven by cAMP, acting through one cAMP response element (CRE), compared to two in mice. Naturally occurring single-nucleotide variants exist within the CRE, some of which lower NMNAT2 promoter activity by more than 50%. We also report an ultra-rare single nucleotide variant in the NMNAT2 promoter in an ALS patient in Project MinE. This variant demonstrates pathogenic potential by lowering NMNAT2 promoter activity in our assay. Project MinE also reveals a common SARM1 promoter variant that significantly increases SARM1 promoter activity in our assay. Thus, several single nucleotide changes in the NMNAT2 and SARM1 promoters modify transcription levels in the direction that would predict an increase in susceptibility to PAxD. These promoter variants refine our understanding of regulatory mechanisms affecting NMNAT2 and SARM1 expression and, together with previously reported coding variants for these genes, expand the catalogue of functionally relevant variants for future association studies in neurodegenerative diseases, including peripheral neuropathies and motor nerve disorders.

BackgroundHuntington disease (HD) is a neurological disorder caused by an aberrant CAG expansion in the HTT gene, producing a mutant protein (mHTT). Although HD is classically characterized by adult-onset cortical and striatal degeneration, accumulating evidence suggests that altered cortical development may also contribute to disease pathogenesis. ObjectiveWe sought to investigate the impact of mHTT on neocortical patterning, which is a largely unexplored aspect of HD. MethodsUsing the HdhQ140 HD knock-in mouse model, we performed immunofluorescence and in situ hybridization to analyze the patterning of the cortex from embryonic day 10 to postnatal day 7. ResultsDuring embryogenesis, HTT expression exhibited a high medial-to-low lateral gradient in the neocortex, like that observed for key transcription factors involved in cortical patterning. Notably, HTT expression was absent from the cortical hem, a critical patterning center. In HD, the protein gradient remained unchanged whereas the expression in medial pallium seemed increased. During the early development of the cerebral hemispheres, the expression of morphogens and signaling pathways, including Shh, Fgf8, and Wnt/BMP genes, were disrupted in organizing centers, leading to altered expression of major neocortical transcription factors. At postnatal stages, the motor and somatosensory cortical areas were misplaced. These developmental alterations were associated with postnatal sensorimotor deficits relevant to HD. ConclusionsOur findings demonstrate that HD-related neurodevelopmental alterations arise as early as embryonic day 10 in mice. This supports previous work suggesting that defects in brain development contribute to HD pathogenesis prior to clinical onset.

BackgroundNeuroinflammation is a common hallmark of primary tauopathies, and is associated with worse clinical outcomes over time. However, accurate prognosis in these disorders remains challenging, and current fluid biomarkers provide limited insight into the contribution of peripheral immune cells to PSP/CBS pathogenesis. Our study aims to characterise blood-based immune cell profiles in patients with progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS), and test their associations with neurodegeneration and clinical outcomes. MethodsPeripheral blood immune cells from fresh whole blood were characterized with high-dimensional mass cytometry (29 markers) in n=60 people with PSP/CBS and n=21 age- and sex-matched controls. Cell type abundance was defined as the ratio of counts for each gated population divided by total live cells. Hierarchical clustering of cell types and principal component analysis were used to derive data-driven immune clusters. Correlation network analysis and diffusion-based network propagation integrated cell counts with plasma inflammation markers to prioritise mediators of intercellular signalling. Associations between immunological markers, plasma concentrations of neurofilament light chain (NfL), cognition, and survival were assessed using regression and Cox proportional hazards models. ResultsPatients with PSP/CBS showed a global increase in covariance among immune cell populations, indicating heightened coordination within the peripheral immune network. A monocyte-driven cluster (Cluster 1) showed higher scores in PSP/CBS, reflecting impaired phenotypic transition from classical to nonclassical monocytes, and was associated with higher NfL levels, poorer cognitive performance, and worse prognosis. In contrast, a Treg-driven cluster (Cluster 2) showed lower scores in PSP/CBS, and was associated with better cognition and longer survival. Integrated multimodal networks identified a small set of immune-regulatory molecules and cytokines mediating crosstalk between Treg/Th17-like cells and monocytic populations, supporting a dysregulated Treg-monocyte axis in PSP/CBS. ConclusionsWe identified peripheral blood-based immunophenotypic profiles of individuals with PSP/CBS that are associated with neurodegeneration, cognitive decline, and survival. Dysregulated monocyte maturation and reduced Treg-related immune configurations are enriched in patients with worse outcomes, suggesting that specific peripheral immune cell subsets may serve as fluid biomarkers and potential immunotherapy targets in primary tauopathies.