Howe, Charles L

Assessing balance is crucial in neurological rehabilitation, yet while wearable sensors enable real-world monitoring, identifying reliable digital biomarkers remains challenging. This study utilized a high-fidelity instrumented walkway to determine which gait parameters best predict balance impairment, providing robust targets for future wearable applications. We analyzed 49 steady-state gait metrics from 140 individuals with diverse neurological conditions. Using statistical analysis and machine learning, we evaluated these parameters against objective force plate sway scores and clinical fall-history labels. Group analysis identified 16 parameters significantly distinguishing fallers from non-fallers, and a neural network classified fallers with an area under the curve of 0.75. Across all analytical approaches, overall gait variability, e.g., Stride Width S.D. and the Gait Variability Index, emerged as a universal predictor of balance impairment and fall risk. Furthermore, while traditional linear models emphasized spatial postural control, machine learning classification uniquely identified inter-limb asymmetry as a premier driver of fall prediction. These findings indicate that instrumented gait analysis effectively identifies digital biomarkers for balance deficits. Isolating these specific metrics provides a clear blueprint for meaningful metrics required for continuous objective monitoring and future development of personalized, adaptive rehabilitation strategies.

ABSTRACT Interferon-γ (IFNγ) signaling is prominent in inflammatory CNS microenvironments across many neurological disorders, but the neuronal peptides presented on HLA class I under these conditions and their functional consequences for CD8 + T cells remain incompletely defined. Here we combine human iPSC-derived human neural aggregates (HNAs), HLA class I immunoprecipitation coupled to LC-MS/MS immunopeptidomics, and microfluidic co-culture assays to map IFNγ-induced neuronal antigen presentation and test antigen-specific cytotoxicity. IFNγ stimulation induced robust HLA class I expression in HNAs and enabled recovery of a canonical 8-12-mer class I ligandome enriched for 9-mers. Neuron-restricted expression of a synapsin-driven polyepitope cassette yielded presentation of defined neoantigen 9-mer peptides on donor HLA class I molecules and, in the presence of IFNγ, elicited activation of autologous antigen-specific CD8 + T cells and consequent antigen-dependent neurite injury. Across four donors, comparative immunopeptidomics identified large IFNγ-unique neural peptide repertoires distinct from matched fibroblasts and revealed a consistent enrichment of predicted high-affinity binders on HLA-B allotypes. Finally, β2-microglobulin deletion ablated peptide recovery, and neuron-restricted β2-microglobulin reconstitution enabled identification of neuron-derived peptides, including peptides derived from neurofilament light (NEFL) that were shared across donors and presented on multiple HLA allotypes. Together, these data provide an integrated platform for neuronal autoantigen discovery and functional validation and support a model in which IFNγ-driven neuronal HLA class I presentation creates an HLA-B-weighted epitope landscape that can be recognized by autoreactive cytotoxic CD8 + T cells.

ABSTRACT Background High-titer glutamic acid decarboxylase 65 (GAD65) antibodies are found in patients with GAD65 antibody-associated neurological disorders, including stiff-person syndrome (SPS), GAD65 cerebellar ataxia (CA), and GAD65 epilepsy. Given the intracellular localization of the antigenic target, a direct pathogenic role for GAD65 autoantibodies is unlikely. Instead, the autoantibody may be a biomarker for the existence of pathogenic anti-GAD65 autoreactive CD8 + T cells. Methods PBMC-derived dendritic cells (DCs) from 20 GAD65 antibody-positive patients with neurological manifestations (SPS, n=10; CA, n=7; epilepsy, n=3) and 15 healthy controls were pulsed with full-length GAD65 protein, full-length GAD67 protein, overlapping 15-mer peptide pools spanning GAD65 and GAD67, individual GAD65 15-mer peptides, or GAD65 9-mer peptides selected from predicted class I binding hotspots. T cell activation was quantified by flow cytometry-based activation-induced marker (AIM) assays using CD69 upregulation. Class I and class II HLA haplotypes were determined by high resolution typing. NetMHCpan v4.2c was used to generate residue-level peptide:HLA binding density maps across GAD65, and candidate 9-mers were validated for HLA binding by peptide:MHC monomer affinity testing. GAD65-peptide-HLA-restricted CD8 + T cells were identified by co-staining with two separately assembled tetramers carrying the same peptide:HLA complex on different fluorophores (APC and BV421), with double-positive events scored as antigen-specific. HLA-restricted cytotoxicity was measured by coculture of patient CD8 + T cells with GAD65-expressing HEK-293T cells reconstituted with defined HLA class I alleles using AAV-delivered Cre-dependent HLA-2A-eGFP cassettes. Results CD8 + T cells from GAD65 antibody-positive patients showed increased activation in response to DCs pulsed with full-length GAD65 relative to healthy controls (P=0.0157, Welch’s t-test), whereas responses to GAD67 did not differ significantly between groups. CD4 + T cells responded to both GAD65 (P=0.0004) and GAD67 (P=0.0051). Peptide pool screening of GAD65 identified discrete CD8 + and CD4 + immunogenic regions, with refinement using individual 15-mers localizing CD8 + activity to multiple subdomains within GAD65 (205-300) , GAD65 (316-435) , and GAD65 (447-520) . HLA class I haplotyping in 16 non-Hispanic White GAD65 + patients revealed enrichment of HLA-B*08:01 (3.0-fold) and HLA-B*40:01 (4.1-fold) relative to USA NMDP European Caucasian reference frequencies (both BH q < 0.05), with suggestive enrichment of HLA-C*03:04 (2.9-fold; q = 0.09). Additionally, 44% of patients carried the HLA-A*01:01, HLA-B*08:01, and HLA-C*07:01 8.1 ancestral haplotype, approximately four-fold higher than the expected population frequency. Dual-fluorophore tetramer staining identified CD8 + T cells in GAD65 + subjects that bound a subset of HLA-A*11:01- and HLA-B*08:01-restricted GAD65 9-mers, with the clearest disease-skewed signals localized to GAD65 (213-221) , GAD65 (257-265) , and GAD65 (529-537) . In an HLA-reconstituted target-cell killing assay, CD8 + T cells from an HLA-B*08:01-positive GAD65 + patient mediated antigen- and HLA-restricted depletion of GAD65-expressing HEK-293T cells, with HLA-restricted target loss also observed in single-donor experiments across additional HLA-A, -B, and -C contexts. Conclusions Patients with GAD65 antibody-associated neurological disorders harbor circulating CD8 + T cells that recognize discrete HLA class I-restricted GAD65 peptides and that are capable of cytotoxicity against GAD65-expressing HLA-matched target cells. We characterize the immunogenetic and cellular features of class I-restricted CD8 + T cell responses in GAD65 autoimmunity, including overrepresentation of the 8.1 ancestral haplotype, complementing the historical focus on antibodies and CD4 + T cell help, and we provide a panel of validated GAD65 peptide:HLA tetramers for prospective isolation, clonotypic analysis, and longitudinal monitoring of candidate pathogenic CD8 + T cell populations across the GAD65 antibody-associated neurological disease spectrum.

ABSTRACT Objectives To investigate the value of cytokine, chemokine, and neurofilament light chain (NfL) concentrations in predicting relapse risk, chronic epilepsy, and functional impairment in LGI1 autoimmune encephalitis (AE). Methods Cytokines/chemokines (IL‐1‐beta, IL‐2, IL‐4, IL‐5, IL‐6, IL‐8/CXCL8, IL‐10, IL‐12p70, IL‐13, IL‐17A, GM‐CSF, TNF‐alpha, IFN‐gamma, CXCL9, CXCL10, CXCL13, BAFF) and NfL concentrations were measured in CSF and paired serum from LGI1‐AE patients evaluated at Mayo Clinic (01/2015–02/2024), using a multiplex immunoassay system (ELLA, Bio‐Techne) and correlated with clinical outcomes. A laboratory‐based cohort of LGI1‐IgG‐positive patients and control cohorts, including patients with mixed non‐inflammatory disorders (MNID), Alzheimer's disease (AD), and temporal lobe epilepsy (TLE) were analyzed. Results Forty‐four patients with LGI1‐AE were included; 29 (66%) were male, with a median age of 68.5 years (range, 8–85). Median time from symptom onset to CSF sampling was eight months (IQR, 3–17); 19/42 (45%) experienced a clinical relapse and 27% developed chronic epilepsy. Serum IL‐6, serum and CSF IL‐8/CXCL8, and IL‐17A were higher in LGI1‐IgG positive patients than MNID ( p < 0.05). TLE cytokine/chemokine profiles were similar to LGI1 AE; AD patients had lower serum IL‐6 and CSF IL‐8/CXCL8 ( p = 0.04; p = 0.01), and higher serum IL‐17A and GM‐CSF ( p = 0.004; p = 0.01) than LGI1‐AE. Higher CSF IL‐6 and IL‐8/CXCL8 in LGI1‐AE associated with clinical relapse ( p < 0.05) and higher CSF NfL associated with chronic epilepsy ( p = 0.01). Conclusion Elevations in IL‐6, IL‐8/CXCL8, and IL‐17A were identified in this LGI1‐AE cohort. CSF IL‐6, IL‐8/CXCL8, and NfL levels are potential prognostic biomarkers for risk of relapse and chronic epilepsy in LGI1‐AE.

Abstract Anti-IgLON5 disease is an autoimmune encephalitis that presents with a heterogenous clinical phenotype, including sleep disorders, movement abnormalities and bulbar involvement. It is characterized by autoantibodies against IgLON5, 85% association with HLA-DQB1*05:∼ and a brainstem-dominant tauopathy. Cellular and murine models report pathogenic effects of the autoantibodies, and neurodegenerative factors suggest progressive atrophy as a common sequela. However, evidence from in vivo patient data and long-term follow-up is limited, and the degree of progression remains elusive. In this multicentre study, clinical and brain MRI data were collected from 127 patients across 12 countries to investigate the relationships between clinical presentations and the development of distinct brain atrophy patterns. Our data show that most patients develop a complex multisystem phenotype as the disease progresses; however, neuromuscular manifestations rarely emerge at later disease stages. By comparison to healthy controls, this disease presents with severe substructure-specific atrophy, especially affecting the hypothalamus, brainstem, accumbens and basal ganglia, which, in age-independent analyses, show significant ventricular enlargement and also suggest progression of brainstem atrophy over the disease course. Moreover, the focality of atrophy was functionally linked to specific symptoms, with more severe involvement of the basal ganglia in patients with movement disorders, and greater atrophy in the hippocampus and thalamus in patients with cognitive impairment. Taken together, our results provide evidence of distinct atrophy patterns in anti-IgLON5 disease, which closely mirror sites of pathophysiologic processes, including autoantibody binding and tau deposition. Our data emphasize the brainstem as the pathophysiological hub of the disease and provide normative data for the incorporation of atrophy measurements into routine clinical assessments and future treatment studies to monitor disease trajectory and evaluate future treatment strategies.

AbstractNew onset refractory status epilepticus (NORSE), including its subtype with a preceding febrile illness known as febrile infection‐related epilepsy syndrome (FIRES), is one of the most severe forms of status epilepticus. The exact causes of NORSE are currently unknown, and there is so far no disease‐specific therapy. Identifying the underlying pathophysiology and discovering specific biomarkers, whether immunologic, infectious, genetic, or other, may help physicians in the management of patients with NORSE. A broad spectrum of biomarkers has been proposed for status epilepticus patients, some of which were evaluated for patients with NORSE. Nonetheless, none has been validated, due to significant variabilities in study cohorts, collected biospecimens, applied analytical methods, and defined outcome endpoints, and to small sample sizes. The NORSE Institute established an open NORSE/FIRES biorepository for health‐related data and biological samples allowing the collection of biospecimens worldwide, promoting multicenter research and sharing of data and specimens. Here, we suggest standard operating procedures for biospecimen collection and biobanking in this rare condition. We also propose criteria for the appropriate use of previously collected biospecimens. We predict that the widespread use of standardized procedures will reduce heterogeneity, facilitate the future identification of validated biomarkers for NORSE, and provide a better understanding of the pathophysiology and best clinical management for these patients.

AbstractObjectiveTherapeutic strategies for patients with febrile infection‐related epilepsy syndrome (FIRES) are limited, ad hoc, and frequently ineffective. Based on evidence that inflammation drives pathogenesis in FIRES, we used ex vivo stimulation of peripheral blood mononuclear cells (PBMCs) to characterize the monocytic response profile before and after therapy in a child successfully treated with dexamethasone delivered intrathecally six times between hospital Day 23 and 40 at 0.25 mg/kg/dose.MethodsPBMCs were isolated from serial blood draws acquired during refractory status epilepticus (RSE) and following resolution associated with intrathecal dexamethasone therapy in a previously healthy 9‐year‐old male that presented with seizures following Streptococcal pharyngitis. Cells were stimulated with bacterial or viral ligands and cytokine release was measured and compared to responses in age‐matched healthy control PBMCs. Levels of inflammatory factors in the blood and CSF were also measured and compared to pediatric healthy control ranges.ResultsDuring RSE, serum levels of IL6, CXCL8, HMGB1, S100A8/A9, and CRP were significantly elevated. IL6 was elevated in CSF. Ex vivo stimulation of PBMCs collected during RSE revealed hyperinflammatory release of IL6 and CXCL8 in response to bacterial stimulation. Following intrathecal dexamethasone, RSE resolved, inflammatory levels normalized in serum and CSF, and the PBMC hyperinflammatory response renormalized.SignificanceFIRES may be associated with a hyperinflammatory monocytic response to normally banal bacterial pathogens. This hyperinflammatory response may induce a profound neutrophil burden and the consequent release of factors that further exacerbate inflammation and drive neuroinflammation. Intrathecal dexamethasone may resolve RSE by resetting this inflammatory feedback loop.