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Deciphering the prodrome of inflammatory bowel disease up to 10 years before disease onset by massively parallel serology.

BACKGROUND: Defining immune dysregulation during the asymptomatic prodrome of immune-mediated diseases offers opportunities for early disease detection and interception. In inflammatory bowel disease (IBD), prodromal immune changes remain poorly characterised. OBJECTIVE: To define preclinical immunological alterations by characterising longitudinal serum antibody repertoires using high-throughput phage-display immunoprecipitation sequencing (PhIP-Seq). DESIGN: We applied PhIP-Seq to profile antibody responses in 2000 longitudinal serum samples from 200 individuals who developed Crohn's disease (CD), 200 who developed ulcerative colitis (UC) and 100 matched healthy controls within the US military Proteomic Evaluation and Discovery in an IBD Cohort of Tri-service Subjects cohort, collected up to 10 years before diagnosis. Antibody repertoires were profiled against 357 000 microbial-associated, viral-associated, food-associated and immune-associated peptides. RESULTS: Antibody repertoire variability was increased up to ~4 years prediagnosis in pre-CD and pre-UC individuals. Differential analyses revealed elevated herpesvirus-directed responses (notably Epstein-Barr virus) and anti-flagellin antibodies up to 10 years prediagnosis in CD, particularly in individuals who later developed complicated or ileal disease. In contrast, responses to encapsulated bacteria (eg, Streptococcus pneumoniae, Haemophilus, Neisseria) progressively declined towards diagnosis. Pre-UC was characterised by combined antimicrobial, antiviral and autoantibody signatures, including antibodies against the MAP kinase-activating death domain protein. CONCLUSIONS: Large-scale serological profiling of archived prediagnostic samples identified disease-specific immune trajectories years before IBD onset, providing novel insights into disease pathogenesis in its prodromal phase.

ANTIGENS

Longitudinal functional network connectivity changes across the clinical stages of C9orf72 hexanucleotide repeat expansion carriers.

INTRODUCTION: Intrinsic functional connectivity network abnormalities in C9orf72 hexanucleotide repeat expansion carriers emerge during the asymptomatic phase, yet longitudinal studies remain limited. We examined cross-sectional abnormalities and longitudinal connectivity changes across clinical stages. METHODS: We analyzed task-free functional magnetic resonance imaging (fMRI) and structural MRI data in 36 asymptomatic (aSxC9), 17 prodromal (proC9), and 29 symptomatic (SxC9) carriers, and 107 healthy controls (HCs). Functional networks previously found altered in C9orf72, including salience, sensorimotor, default mode, and medial pulvinar thalamic networks, were examined. Associations between longitudinal connectivity and gray matter decline with baseline neurofilament light chain (NfL) concentrations and symptom severity were assessed. RESULTS: aSxC9 and SxC9 showed longitudinal connectivity changes within specific networks. In aSxC9, connectivity changes correlated with baseline NfL. In proC9 and SxC9, changes in connectivity and gray matter were associated with baseline NfL and symptom severity. DISCUSSION: C9orf72 expansion carriers demonstrate stage-specific network connectivity changes.

Humans

Pedigree analysis and genetic inheritance of fatal familial insomnia (FFI) in a Portuguese multigenerational family.

Fatal familial insomnia (FFI) is a rare, autosomal dominant prion disease caused by a mutation in the PRNP gene, leading to the misfolding of the cellular prion protein (PrPC) into its pathogenic form (PrPSc). This results in neurodegeneration, particularly in the thalamus, a key region regulating sleep-wake cycles, which underlies the hallmark symptoms of FFI, including insomnia, autonomic dysfunctions, motor disturbances and cognitive decline. This study focuses on a Portuguese family with FFI, providing a detailed pedigree analysis spanning five generations and comprising 134 individuals, to elucidate inheritance patterns, disease onset, and clinical progression. The findings confirm the autosomal-dominant inheritance pattern and a strong familial clustering of the disease with age of onset in the late 50s (mean 57 years). Although 67% of affected individuals succumbing to the disease within months to 1.5 years, a notably 33% exhibited prolonged survival beyond the typical disease duration, exceeding proportions reported in the literature. Family members retrospectively reported prodromal symptoms, including generalized pain, headaches, tinnitus, pruritus, and behavioral changes, occurring up to five years before diagnosis. In several cases, reportedly, disease onset was associated with major phycological stressors (e.g., emotional stress or mourning). While the significance of these observations remains uncertain, they may provide insights into potential early features in this kindred. Further research integrating genomic sequencing, biomarkers, and longitudinal clinical assessments are needed to better understand the mechanisms underlying the heterogeneity of FFI and to explore potential therapeutic interventions.

Humans

Parabacteroides goldsteinii mitigates parkinsonism in LRRK2 mutant mice by reducing neuroinflammation through Gut-Brain axis.

INTRODUCTION: Alterations in the gut microbiota accompanied by intestinal inflammation are early features of Parkinson's disease (PD). Mutations in the leucine-rich repeat kinase 2 (LRRK2) gene represent a common genetic risk factor for PD and inflammatory bowel disease. Parabacteroides goldsteinii has been reported to alleviate intestinal and systemic inflammation. However, whether modulation of the gut microenvironment at early disease stage can attenuate PD progression remains unclear. OBJECTIVE: To investigate the impact of P. goldsteinii colonization prior to the onset of motor dysfunction on PD progression. METHODS: We established a germ-free PD mouse model carrying the LRRK2 G2019S mutation and administered P. goldsteinii orally at the pre-symptomatic stage to evaluate its effects on motor performance and PD-related neuropathology. Spatial and bulk RNA transcriptomic analyses of brain tissue, together with cytokine profiling, were conducted to assess central changes. To investigate gut immunomodulatory mechanisms, we performed intestinal bulk and single-cell RNA sequencing, spectral flow cytometry as well as cellular bioenergetic analyses. RESULTS: Germ-free conditions partially alleviated PD-like phenotypes in LRRK2 G2019S mice. Colonization with P. goldsteinii at 5-months of age, prior to motor symptom onset, further improved locomotor performance, reduced neuronal α-synuclein aggregations, and mitigated microglial activation and dopaminergic neurodegeneration. Neuroprotection was mediated through enhanced noncanonical neuronal IL-12 receptor-dependent neurotrophic support without activating the canonical STAT4 phosphorylation pathway, along with suppression of microglial activation and downregulation of LRRK2 kinase activity. At the intestinal level, P. goldsteinii suppressed TLR4-driven inflammation, expanded anti-inflammatory intraepithelial CD4+CD8αα+ T cells, promoted dendritic cell and macrophage differentiation, upregulated epithelial tight-junction genes, and improved mitochondrial bioenergetics in intestinal cells. CONCLUSION: P. goldsteinii colonization attenuates the progression of LRRK2-associated parkinsonism by restoring intestinal homeostasis and reducing neuroinflammation. These findings underscore the therapeutic potential of modulating the gut-immune-brain axis during the prodromal stage of PD.

Animals

Saliva versus lesion swabs for PCR diagnosis of acute-phase clade Ib mpox in Uganda: a prospective matched hospital cohort study.

BACKGROUND: As clade Ib mpox expands through HIV-affected populations in east and central Africa, diagnostic specimen selection should balance accuracy, accessibility, and operational feasibility in outbreak settings. Here, we aimed to compare the diagnostic performance of matched plasma, saliva, genital, anal, and skin specimens during the acute rash phase of clade Ib mpox to identify clinically practical and high-yield sampling approaches for outbreak response and clinical care. METHODS: We conducted a prospective cohort study of 155 adults (median age 30 years, IQR 25-36) hospitalised at Uganda's national mpox referral hospital. The specimens were collected between March 3 and April 10, 2025, during the clade Ib outbreak. All participants were admitted with suspected mpox and were subsequently confirmed by MPXV PCR. We collected 836 clinical specimens (acid citrate dextrose plasma, saliva, genital swabs, anal swabs, and skin swabs) during the acute phase (visit 1; 14 days [SD 2] after systemic symptom onset) and at approximately 3 months (visit 2). A matched acute-phase subset (n=80) provided concurrent plasma, saliva, genital, and skin specimens for within-participant comparisons. MPXV DNA was quantified by F3L real-time quantitative PCR, and cycle threshold (Ct) values were compared using paired Wilcoxon signed-rank tests. Whole-genome sequencing of selected acute specimens confirmed clade assignment. FINDINGS: In the matched subset at visit 1, PCR positivity was high in saliva (78 [98%] of 80), skin swabs (78 [98%] of 80), and genital swabs (77 [96%] of 80). Results for the saliva closely mirrored genital and skin swab results, supporting saliva as a high-yield alternative when lesion sampling is painful, operationally difficult, or unacceptable. Plasma had substantially lower sensitivity (34 [43%] of 80) and showed poor agreement with mucocutaneous compartments. At 3 months, persistent MPXV DNA was rare (ten [9%] of 109) and clustered among people with HIV, including the only two participants with persistent plasma positivity. All sequenced genomes clustered within clade Ib. INTERPRETATION: During the established rash phase (14 days [SD 2] after onset), saliva provides diagnostic yield similar to that provided by lesion swabs for clade Ib mpox in this hospitalised cohort. These findings are restricted to this sampling window; further studies are needed to define performance in prodromal, pre-rash, and asymptomatic infection. FUNDING: CEPI through its Centralised Laboratory Network.

Adult

Biological correlates of elevated soluble TREM2 in cerebrospinal fluid.

Cerebrospinal fluid (CSF) soluble triggering receptor expressed on myeloid cells-2 (sTREM2) is an emerging biomarker of neuroinflammation in Alzheimer's disease (AD). Yet, sTREM2 expression has not been systematically evaluated in relation to concomitant drivers of neuroinflammation. While associations between sTREM2 and tau in CSF are established, we sought to determine additional biological correlates of CSF sTREM2 during the prodromal stages of AD by evaluating CSF Aβ species (Aβx-40), a fluid biomarker of blood-brain barrier integrity (CSF/plasma albumin ratio), and CSF biomarkers of neurodegeneration measured in 155 participants from the Vanderbilt Memory and Aging Project. A novel association between high CSF levels of both sTREM2 and Aβx-40 was observed and replicated in an independent dataset. Aβx-40 levels, as well as the CSF/plasma albumin ratio, explained additional and unique variance in sTREM2 levels above and beyond that of CSF biomarkers of neurodegeneration. The component of sTREM2 levels correlated with Aβx-40 levels best predicted future cognitive performance. We highlight potential contributions of Aβ homeostasis and blood-brain barrier integrity to elevated CSF sTREM2, underscoring novel biomarker associations relevant to disease progression and clinical outcome measures.

Alzheimer Disease

Proteo-metabolomic integration identifies stage-specific candidate biomarkers for Parkinson's disease.

Parkinson's disease (PD) is a progressive neurodegenerative disorder with a prolonged prodromal phase and complex motor symptoms. Despite improved clinical criteria, early diagnosis and longitudinal monitoring remain challenging. While cerebrospinal fluid (CSF) and plasma metabolites and proteins show biomarker potential, their utility in predictive models is insufficiently characterized. We employed a secondary computational approach to integrate proteometabolomic profiles from CSF and plasma samples of >1100 Parkinson's Progression Markers Initiative (PPMI) participants. Using multi-omics machine learning, we identified biofluid-specific signatures and evaluated predictive performance. Twenty-one biomarker candidates were validated across three models (SVM, GLMNET, RF); SVM and GLMNET achieved the highest recall (83-86%) and AUCs of 0.84-0.89. Longitudinal mixed-effects modeling revealed eight candidates associated with progression across diagnostic stages. We identified a three-part molecular framework characterizing neurodegeneration: a diagnostic subpanel reflecting early microbiome dysregulation (secretory granins and metabolites) and synaptic breakdown; a second subpanel monitoring phenoconversion via neurogenesis precursors and extracellular matrix proteins; and a third subpanel tracking progression through chronic neuroinflammation and immune activation. This integrated multi-omics approach provides a robust framework for stage-specific PD monitoring and potential clinical deployment.

Journal Article

A computational ontology framework for the synthesis of multi-level pathology reports from brain MRI scans.

BackgroundConvolutional neural network (CNN) based volumetry of MRI data can help differentiate Alzheimer's disease (AD) and the behavioral variant of frontotemporal dementia (bvFTD) as causes of cognitive decline and dementia. However, existing CNN-based MRI volumetry tools lack a structured hierarchical representation of brain anatomy, which would allow for aggregating regional pathological information and automated computational inference.ObjectiveDevelop a computational ontology pipeline for quantifying hierarchical pathological abnormalities and visualize summary charts for brain atrophy findings, aiding differential diagnosis.MethodsUsing FastSurfer, we segmented brain regions and measured volume and cortical thickness from MRI scans pooled across multiple cohorts (N = 3433; ADNI, AIBL, DELCODE, DESCRIBE, EDSD, and NIFD), including healthy controls, prodromal and clinical AD cases, and bvFTD cases. Employing the Web Ontology Language (OWL), we built a semantic model encoding hierarchical anatomical information. Additionally, we created summary visualizations based on sunburst plots for visual inspection of the information stored in the ontology.ResultsOur computational framework dynamically estimated and aggregated regional pathological deviations across different levels of neuroanatomy abstraction. The disease similarity index derived from the volumetric and cortical thickness deviations achieved an AUC of 0.88 for separating AD and bvFTD, which was also reflected by distinct atrophy profile visualizations.ConclusionsThe proposed automated pipeline facilitates visual comparison of atrophy profiles across various disease types and stages. It provides a generalizable computational framework for summarizing pathologic findings, potentially enhancing the physicians' ability to evaluate brain pathologies robustly and interpretably.

Humans

A study of the link between food-water insecurities and self-reported psychotic experiences among young adults in Gaza Strip: What role does social support play under conditions of war and extreme suffering?

BACKGROUND: The war in Gaza, coupled with severe restrictions on humanitarian access and assistance, have led to a rapid and large-scale exacerbation of food insecurity (FI) and water insecurity (WI) in Gaza, which can cause a myriad of deleterious effects on both physical and mental health. Previous evidence suggests that environmental stressors (such as FI and WI), coupled with lack of support, can compromise coping ability and trigger psychosis. Elucidation of these pathways can inform efforts to reduce the incidence of psychosis in war settings in particular, and in global communities more generally. This study aimed to assess the mediating role of social support on the association between food-water insecurities and psychotic experiences (PEs). METHODS: This study was carried-out over a period of one month (September 2024) by using a free online form builder. Data were collected at a single time point using snowball sampling. A total of 476 adults aged 18–35 years and living in Gaza at the time of the survey took part in this study. The Prodromal Questionnaire- Brief, the Food Insecurity Experience Scale, the Four-Item Household Water Insecurity Experiences Scale, and the Single Item Measure of Social Supports have been administered to participants. RESULTS: A total of 110 participants (23.1%) reported low tangible social support (i.e., having no or 1 person in the social support network), 27.3% were classified as moderately-to-severely food insecure and 41% were categorized as water-insecure. The mediation analysis was adjusted for the following covariates: marital status, living arrangement and age. Higher food-water insecurity experiences were significantly associated with lower social support. Higher food-water insecurity experiences were also significantly associated with higher PEs. Higher social support was significantly associated with lower PEs. The results of the mediation analysis showed that social support mediated the link of FI (indirect effect: Beta = 0.06; Boot SE = 0.03; Boot CI 0.01; 0.12) and WI (indirect effect: Beta = 0.04; Boot SE = 0.02; Boot CI 0.01; 0.08) to PEs. CONCLUSION: Our findings support the case for bolstering social support networks in war-affected communities facing survival challenges such as FI and WI. This study points to the urgent need for increased food aid and improved water supplies in the short term, and sustainable food and water systems in the long term, to support mental health. In times of war, mental health prevention and interventions strategies might do well to increase social support and resources in order to help buffer such intense environmental stressors and prevent the emergence of psychosis. CLINICAL TRIAL NUMBER: Not applicable.

Humans

Synaptic protein CSF levels relate to memory scores in individuals without dementia.

BACKGROUND: We investigated how cerebrospinal fluid levels of synaptic proteins associate with memory function in normal cognition (CN) and mild cognitive impairment (MCI), and investigated the effect of amyloid positivity on these associations. METHODS: We included 242 CN (105(43%) abnormal amyloid), and 278 MCI individuals (183(66%) abnormal amyloid) from the European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery (EMIF-AD MBD) and the Alzheimer's Disease Neuroimaging Initiative (ADNI). For 181 (EMIF-AD MBD) and 36 (ADNI) proteins with a synaptic annotation in SynGO, associations with word learning recall were analysed with linear models. RESULTS: Subsets of synaptic proteins showed lower levels with worse recall in preclinical AD (EMIF-AD MBD: 7, ADNI: 5 proteins, none overlapping), prodromal AD (EMIF-AD MBD only, 27 proteins) and non-AD MCI (EMIF-AD MBD: 1, ADNI: 7 proteins). The majority of these associations were specific to these clinical groups. CONCLUSIONS: Synaptic disturbance-related memory impairment occurred very early in AD, indicating it may be relevant to develop therapies targeting the synapse early in the disease.

Humans

AI-Driven Precision Medicine in Alzheimer's Disease: Drug Repurposing, Digital Therapeutics and Clinical Decision Support.

Alzheimer's Disease (AD) is a neurodegenerative disease that causes significant clinical, social, and economic burden worldwide. Despite improvements in understanding its multifaceted pathogenesis, current treatments are mostly symptomatic and ineffective across varied patient populations. To overcome these constraints, AI-driven precision medicine allows tailored risk assessment, treatment selection, and disease monitoring. This review covers AI's role in AD precision medicine, focusing on drug repurposing, digital therapies and clinical decision support systems. Machine and deep learning models are used to predict medication response, integrate heterogeneous data sources such as genomics, transcriptomics, neuroimaging and electronic health records, and uncover pharmacogenomic treatment success factors. The paper covers AIenabled precision pharmacology, including tailored dosing algorithms, adaptive therapeutic monitoring, and adverse drug reaction prediction. Bioinformatics-based target identification, network pharmacology, graphbased AI models, virtual screening, and real-world and clinical data validation are emphasized in AI-driven medication repurposing. AI-powered digital treatments like personalized cognitive training platforms, wearable- derived digital biomarkers, virtual and mixed reality interventions, adherence monitoring, and digital twins for therapy optimization have been discussed. AI-based clinical decision support systems are also thoroughly assessed for clinical value, accuracy, and explainability in disease subtyping, trajectory prediction, and risk stratification in preclinical and prodromal AD. Despite these promises, data heterogeneity, algorithmic bias, legal barriers, and privacy concerns exist. Federated learning enables safe multi-center collaboration and hybrid AI-human approaches, and it represents the future. AI's ability to alter AD care opens the door to precision medicine paradigms that use repurposed medications, digital tools and intelligent decision-making to improve patient outcomes.

Alzheimer’s disease