Correction: A rare missense variant impacting NEK1 kinase function is associated with ALS
- Journal
- Acta neuropathologica communications(2026 Jul)
- Authors
- 31名
- Type
- Published Erratum
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BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease. Lipid metabolism is closely related to neuronal function and energy homeostasis, but the genetic association between specific lipid species and ALS risk remains unclear. OBJECTIVE: This study aimed to investigate the potential causal associations between genetically predicted lipid species and ALS risk using a two-sample Mendelian randomization (MR) approach. METHODS: Summary-level GWAS data for 179 lipid species were obtained from 7,174 Finnish participants in the GeneRISK cohort. ALS GWAS data included 29,612 ALS cases and 122,656 controls. The inverse variance weighted (IVW) method was used as the primary MR approach, supplemented by MR-Egger, weighted median, weighted mode, and simple mode analyses. False discovery rate (FDR) correction was applied across all lipid traits based on IVW P values. Sensitivity analyses were conducted to assess heterogeneity, horizontal pleiotropy, and robustness. RESULTS: After FDR correction, genetically predicted higher levels of diacylglycerol (DAG) (18:1_18:1), phosphatidylcholine (PC) (16:1_18:1), PC (18:0_18:1), phosphatidylethanolamine (PE) (O-16:1_18:2), and several triacylglycerol (TAG) species were associated with increased ALS risk. Phosphatidylinositol (PI) (16:0_18:1) showed only a nominal protective association and did not remain significant after FDR correction. Sensitivity analyses did not indicate substantial heterogeneity or horizontal pleiotropy. CONCLUSION: This MR study provides genetic evidence supporting potential associations between specific lipid species and ALS risk. These findings highlight lipid metabolism as a relevant pathway in ALS susceptibility.
INTRODUCTION: Neurofilament light chain (NfL) is a structural axonal protein measurable in CSF and blood, increasingly investigated as a biomarker of neuroaxonal injury in clinical and research contexts. This review aims to explore the use of blood-based NfL as an endpoint in clinical trials of neurodegenerative conditions. METHOD: A database search of MEDLINE and EMBASE was conducted to identify interventional clinical trials and/or related post hoc analyses for neurodegenerative diseases, published between 2013 and 2024 that reported the use of serum or plasma NfL as an endpoint. Additional studies from reference lists of included trials were manually considered for inclusion where relevant. Data were charted descriptively by disease type and summarised. RESULTS: 49 studies were included, 29 in multiple sclerosis (MS), eight in amyotrophic lateral sclerosis (ALS), six in Alzheimer's disease (AD), and six in other diseases. Across studies, reductions in NfL often paralleled improvements in primary efficacy outcomes, supporting its use as a biomarker of disease activity and treatment response. However, several studies demonstrated a lack of concordance between change in NfL and in clinical outcomes, some of which may be related to the non-disease-modifying mechanisms of the interventions studied. This necessitates careful consideration when applying blood-based NfL as a biomarker endpoint for studies involving such interventions. CONCLUSION: Blood NfL is a promising biomarker with potential utility as a surrogate endpoint in neurological clinical trials, particularly for diseases with active axonal injury. Further validation, particularly around disease- and intervention-specific interpretation, is needed before blood NfL can be incorporated more routinely as a clinical endpoint.
INTRODUCTION: Rapid eye movement (REM) sleep is a period of physiological vulnerability for patients with neuromuscular disease, owing to a generalized loss of muscle tone that spares only the diaphragm. Several antidepressants have been observed to reduce REM sleep fraction on polysomnography. We investigated whether prescription of REM-suppressing antidepressants (RSAs) versus non-REM-suppressing antidepressants (NRSAs) is associated with differential survival in patients with amyotrophic lateral sclerosis (ALS). METHODS: Using the U.S. Collaborative Network of the TriNetX Analytics platform, we compared 1-year mortality in ALS patients prescribed RSAs or NRSAs within 3 months of diagnosis, identified by ICD-10-CM-coded encounter diagnoses with riluzole prescription between May 2014 and May 2024. We used Cox proportional hazards models, Kaplan-Meier analysis, and risk difference analysis, with and without propensity score matching (PSM). RESULTS: Among 14,441 patients with ALS and riluzole prescription, 5,057 were prescribed either RSAs (N = 4,177) or NRSAs (N = 880). The NRSA cohort had a higher risk of death (HR 1.28, 95% CI 1.11 - 1.46), with 1-year survival of 60.73% versus 68.61% for RSAs (log-rank p<0.001). After PSM, the difference narrowed and was borderline by log-rank test (60.97% vs 65.92%, p=0.035), while the risk-difference analysis was no longer significant (RR 1.07, 95% CI 0.92 - 1.25), indicating an attenuated and statistically fragile association. CONCLUSIONS: RSA prescription was associated with modestly better survival, but this association weakened markedly after matching and cannot establish causation; residual confounding, particularly by indication, cannot be excluded. These findings are hypothesis-generating, and prospective studies incorporating polysomnography and ALS-specific prognostic factors are needed.
BACKGROUND: Parkinson's disease (PD) is clinically heterogeneous, and the presence of rapid eye movement sleep behavior disorder (RBD) defines a distinct and aggressive subtype. There is an urgent need for molecular biomarkers to understand and identify these subtypes. Neuron-derived extracellular vesicles (nEVs) provide a window into brain pathology. METHODS: In this pilot study, we isolated plasma nEVs via L1CAM immunocapture from 28 subjects (PD-RBD, PD-noRBD, and controls). Proteomic analysis was performed using data-independent acquisition mass spectrometry (DIA-MS). RESULTS: We quantified 1354 proteins. Comparative analysis revealed 239 differentially expressed proteins (DEPs) between PD-RBD and PD-noRBD. PD-RBD patients exhibited significantly higher levels of α-synuclein (SNCA) and showed pronounced enrichment in extracellular matrix remodeling (eg, NRGN, ELAV3) pathways. In contrast, PD-noRBD was characterized by dysregulated lipid metabolism (eg, APOE, CETP) and systemic inflammation. Specific DEPs correlated with motor severity, autonomic dysfunction, and brain iron deposition. CONCLUSION: This pilot study reveals distinct proteomic profiles between the plasma nEVs of PD-RBD and PD-noRBD, suggesting divergent pathophysiological processes involving structural/extracellular matrix remodeling versus systemic metabolic-inflammatory pathways. These findings provide a prioritized panel of candidate nEV biomarkers for subtype-specific stratification in PD, which warrant further large-scale clinical and functional validation.
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