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    Genetic Risk Variants for Multiple Sclerosis and Other Loci Linked to Intrathecal Immunoglobulin G Synthesis

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    Background and Objectives Intrathecal synthesis of immunoglobulin G (IgG) is a key feature of multiple sclerosis (MS) and a prognostic marker for the disease course. Although previous studies identified 2 genetic regions—the major histocompatibility complex (MHC) region on chromosome 6 and the immunoglobulin heavy chain constant (IGHC) locus on chromosome 14—associated with intrathecal IgG synthesis in MS, the genetic underpinnings remain insufficiently understood. Methods We conducted a genome-wide association study on intrathecal IgG synthesis using the IgG index to identify individuals with (≥0.7) or without (<0.7) quantitative intrathecal synthesis. We used logistic regression models adjusting for sex, age, and population structure. We performed secondary analyses to examine associations between identified loci and the extent of intrathecal IgG synthesis and the presence and extent of intrathecal immunoglobulin A and M synthesis. We further conducted association analyses for imputed human leukocyte antigen alleles and analyzed whether a higher genetic burden for MS risk—quantified through polygenic risk scores—is associated with intrathecal IgG synthesis. Results In the discovery cohort (n = 3,934), we identified a novel genome-wide significant association of the intronic variant rs844586 (p = 1.48 × 10−8) in the sterile alpha motif domain containing 5 (SAMD5) gene on chromosome 6, with intrathecal IgG synthesis. We could confirm this association in a replication cohort (n = 1,094) and demonstrated that it is independent of a previously described association signal at the MHC region. In a subset (n = 1,413), we further identified rs1407 as a potential causal variant (p = 3.80 × 10−11, posterior inclusion probability = 0.92) for the previously reported association signal at the IGHC locus with the extent of intrathecal IgG synthesis. In addition, we demonstrated that a higher genetic burden for MS susceptibility, both within and outside of the MHC region, is associated with a higher likelihood of and a more pronounced intrathecal IgG synthesis. Discussion Our study revealed a previously unknown association between an intronic variant in SAMD5 with intrathecal IgG synthesis and identified a potential causal variant within the IGHC locus. It further provides evidence for possible effects of known MS risk variants on disease severity through their effect on the intrathecal humoral immune response, a prognostic marker for the disease course

    White matter hyperintensities precede other biomarkers in GRN frontotemporal dementia

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    INTRODUCTION Increased white matter hyperintensities (WMHs) have been reported in genetic frontotemporal dementia (FTD) in small studies, but the sequence of WMH abnormalities relative to other biomarkers is unclear. METHODS Using a large dataset (n = 763 GENFI2 participants), we measured WMHs and examined them across genetic FTD variants and stages. Cortical and subcortical volumes were parcellated, and serum neurofilament light chain (NfL) levels were measured. Biomarker progression was assessed with discriminative event-based and regression modeling. RESULTS Symptomatic GRN carriers showed elevated WMHs, primarily in the frontal lobe, while no significant increase was observed in symptomatic C9orf72 or MAPT carriers. WMH abnormalities preceded NfL elevation, ventricular enlargement, and cortical atrophy. Longitudinally, baseline WMHs predicted subcortical changes, while subcortical volumes did not predict WMH changes, suggesting WMHs may precede neurodegeneration. DISCUSSION WMHs are elevated in a subset of GRN-associated FTD. When present, they appear early and should be considered in disease progression models

    Multicenter evaluation of label-free quantification in human plasma on a high dynamic range benchmark set

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    Human plasma is routinely collected during clinical care and constitutes a rich source of biomarkers for diagnostics and patient stratification. Liquid chromatography-mass spectrometry (LC-MS)-based proteomics is a key method for plasma biomarker discovery, but the high dynamic range of plasma proteins poses significant challenges for MS analysis and data processing. To benchmark the quantitative performance of neat plasma analysis, we introduce a multispecies sample set based on a human tryptic plasma digest containing varying low level spike-ins of yeast and E. coli tryptic proteome digests, termed PYE. By analysing the sample set on state-of-the-art LC-MS platforms across twelve different sites in data-dependent (DDA) and data-independent acquisition (DIA) modes, we provide a data resource comprising a total of 1116 individual LC-MS runs. Centralized data analysis shows that DIA methods outperform DDA-based approaches regarding identifications, data completeness, accuracy, and precision. DIA achieves excellent technical reproducibility, as demonstrated by coefficients of variation (CVs) between 3.3% and 9.8% at protein level. Comparative analysis of different setups clearly shows a high overlap in identified proteins and proves that accurate and precise quantitative measurements are feasible across multiple sites, even in a complex matrix such as plasma, using state-of-the-art instrumentation. The collected dataset, including the PYE sample set and strategy presented, serves as a valuable resource for optimizing the accuracy and reproducibility of LC-MS and bioinformatic workflows for clinical plasma proteome analysis

    α-Synuclein aggregates inhibit ESCRT-III through sequestration and collateral degradation

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    α-Synuclein aggregation is a hallmark of Parkinson’s disease and related synucleinopathies. Extracellular α-synuclein fibrils enter naive cells via endocytosis, followed by transit into the cytoplasm to seed endogenous α-synuclein aggregation. Intracellular aggregates sequester numerous proteins, including subunits of the endosomal sorting complexes required for transport (ESCRT)-III system for endolysosome membrane repair, but the toxic effects of these events remain poorly understood. Using cellular models and in vitro reconstitution, we found that α-synuclein fibrils interact with a conserved α-helix in ESCRT-III proteins. This interaction sequesters ESCRT-III subunits and triggers their proteasomal destruction in a process of “collateral degradation.” These twin mechanisms deplete the available ESCRT-III pool, initiating a toxic feedback loop. The ensuing loss of ESCRT function compromises endolysosome membranes, thereby facilitating escape of aggregate seeds into the cytoplasm, facilitating a “second wave” of templated aggregation and ESCRT-III sequestration. We suggest that collateral degradation and the triggering of self-perpetuating systems are general mechanisms of sequestration-induced proteotoxicity

    Selective ubiquitination of drug-like small molecules by the ubiquitin ligase HUWE1

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    The ubiquitin system regulates eukaryotic physiology by modifying myriad substrate proteins. Substrate specificity and the assembly of ubiquitin signals are determined by ubiquitin ligases, some of which also modify non-protein biomolecules. Here we expand this substrate realm, revealing that the human ligase HUWE1 can target drug-like small molecules. We demonstrate that compounds previously reported as HUWE1 inhibitors present substrates of their target ligase. Compound ubiquitination is driven by the canonical catalytic cascade, linking ubiquitin to the compound’s primary amino group. In vitro, the modification is selectively catalyzed by HUWE1, allowing the compounds to compete with protein substrates. We establish cellular detection methods, confirming HUWE1 promotes — but does not exclusively drive — compound ubiquitination in cells. Converting the existing compounds into specific HUWE1 substrates or inhibitors thus requires enhanced specificity. More broadly, our findings open avenues for harnessing the ubiquitin system to transform exogenous small molecules into novel chemical modalities within cells

    Amyloid β–dependent neuronal silencing through synaptic decoupling

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    Amyloid β (Aβ)-dependent circuit dysfunction in Alzheimer’s disease (AD) is determined by a puzzling mix of hyperactive and inactive (“silent”) brain neurons. Recent studies identified excessive glutamate accumulation as a key Aβ-dependent determinant of hyperactivity. The cellular mechanisms underlying neuronal silence depend on both Aβ and tau protein pathologies, with an unknown role of Aβ. Here, by using single-cell-initiated rabies virus (RV) tracing in mouse models of β-amyloidosis, we demonstrate that the presynaptic connectivity of silent, but not that of hyperactive, neurons is severely disrupted. Furthermore, silent neurons display a major spine loss and strongly suppressed synaptic activity. Thus, we suggest that synaptic decoupling is an Aβ-dependent cellular mechanism underlying progressive neuronal silencing and a critical factor for the cognitive impairments encountered in AD

    NRAC controls CD36-mediated fatty acid uptake in adipocytes and lipid clearance in vivo

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    Adipose tissue is a central organiser of systemic lipid homeostasis and a pharmacological target in obesity, orchestrating cellular responses to environmental cues. Nutritionally regulated adipose and cardiac enriched protein (NRAC) is a small adipocyte-specific transmembrane protein with unknown function. Here, we show that Nrac directly interacts with scavenger receptor CD36 via its first transmembrane domain. Forming a complex with CD36 and caveolin-1 under low extracellular fatty acid (FA) concentrations, NRAC modulates CD36-dependent fatty acid uptake in adipocytes. Upon increase in extracellular FA levels, NRAC is ubiquitinated and internalised, leading to CD36’s dissociation from caveolin-1 and clathrin-mediated endocytosis. This results in increased fatty acid uptake into fat cells, adipocyte hypertrophy, increased fat mass and elevated lipid clearance from the blood in chow-diet-fed mice. Finally, human NRAC expression and the intronic SNP rs12878589 are associated with body fat distribution and obesity. Together, these findings reveal a novel regulatory mechanism by which adipocytes sense and respond to extracellular fatty acid availability to fine-tune lipid uptake and storage at cellular and organismal level

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