Persons With Multiple Sclerosis Reveal Distinct Kynurenine Pathway Metabolite Patterns: A Multinational Cross-Sectional Study.

Background And Objectives Kynurenine pathway (KP) metabolites modulate inflammatory activity and neuronal viability. The consequences of KP imbalance partly resemble the molecular mechanisms of multiple sclerosis (MS). An improved understanding of KP imbalance and its relevance in MS requires holistic approaches beyond single-metabolite investigations. Thus, we aimed to explore the presence of KP metabolite patterns in MS and to evaluate their relevance in relation to participant characteristics and clinical measures.Methods In this multinational cross-sectional analysis, we determined serum concentrations of KP metabolites in persons with MS and healthy individuals using targeted metabolomics (LC-MS/MS). Analyses were conducted between March 24, 2022, and August 9, 2024. The source studies were conducted in Denmark, Germany, and Switzerland. All participants were aged 18 years or older and free of acute or chronic diseases besides MS. Persons with MS had mild to moderate disease severity (Expanded Disability Status Scale [EDSS] score ≤6.5). Following the investigation of individual metabolites, we explored KP metabolite patterns using exploratory factor analysis. Associations between KP metabolite patterns and participant characteristics, MS symptoms, and MRI metrics were investigated using correlation analyses, proportional odds regression, and multiple linear regression.Results The MS cohort included 353 participants (67.1% female) with a mean (SD) age of 46.1 (12.4) years. The mean (SD) EDSS score was 3.1 (1.8). The healthy control (HC) cohort included 111 participants (53.2% female) with a mean (SD) age of 45.7 (16.6) years. Persons with MS showed 2 distinct KP metabolite patterns: an inflammation-driven neurotoxic pattern (NeuroTox) and a neuroprotective pattern (NeuroPro). Greater NeuroTox was associated with a higher EDSS score, older age, and higher body fat percentage. Greater NeuroPro was associated with a lower EDSS score and higher cardiorespiratory fitness.Discussion Using a data-driven approach, we demonstrate the presence of 2 KP metabolite patterns, NeuroTox and NeuroPro, in MS. Greater NeuroTox and lower NeuroPro were both associated with greater disease severity. Future studies need to investigate the KP metabolite patterns across the MS disability spectrum and may use comparable approaches to investigate whether KP imbalance follows similar or disease-specific patterns in diseases other than MS.Trial Registration Information NCT03322761, NCT02661555, NCT04762342, NCT04356248, DRKS00017091, DRKS00031445, DRKS00028792, DRKS00029105.

Institutions

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-09-19
DOI
https://doi.org/10.48620/91421
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Persons With Multiple Sclerosis Reveal Distinct Kynurenine Pathway Metabolite Patterns: A Multinational Cross-Sectional Study.

Open Access CRIS of the University of Bern
Geochemistry and Geologic Mapping
article

Persons With Multiple Sclerosis Reveal Distinct Kynurenine Pathway Metabolite Patterns: A Multinational Cross-Sectional Study.

article en

Abstract

Background And Objectives Kynurenine pathway (KP) metabolites modulate inflammatory activity and neuronal viability. The consequences of KP imbalance partly resemble the molecular mechanisms of multiple sclerosis (MS). An improved understanding of KP imbalance and its relevance in MS requires holistic approaches beyond single-metabolite investigations. Thus, we aimed to explore the presence of KP metabolite patterns in MS and to evaluate their relevance in relation to participant characteristics and clinical measures.Methods In this multinational cross-sectional analysis, we determined serum concentrations of KP metabolites in persons with MS and healthy individuals using targeted metabolomics (LC-MS/MS). Analyses were conducted between March 24, 2022, and August 9, 2024. The source studies were conducted in Denmark, Germany, and Switzerland. All participants were aged 18 years or older and free of acute or chronic diseases besides MS. Persons with MS had mild to moderate disease severity (Expanded Disability Status Scale [EDSS] score ≤6.5). Following the investigation of individual metabolites, we explored KP metabolite patterns using exploratory factor analysis. Associations between KP metabolite patterns and participant characteristics, MS symptoms, and MRI metrics were investigated using correlation analyses, proportional odds regression, and multiple linear regression.Results The MS cohort included 353 participants (67.1% female) with a mean (SD) age of 46.1 (12.4) years. The mean (SD) EDSS score was 3.1 (1.8). The healthy control (HC) cohort included 111 participants (53.2% female) with a mean (SD) age of 45.7 (16.6) years. Persons with MS showed 2 distinct KP metabolite patterns: an inflammation-driven neurotoxic pattern (NeuroTox) and a neuroprotective pattern (NeuroPro). Greater NeuroTox was associated with a higher EDSS score, older age, and higher body fat percentage. Greater NeuroPro was associated with a lower EDSS score and higher cardiorespiratory fitness.Discussion Using a data-driven approach, we demonstrate the presence of 2 KP metabolite patterns, NeuroTox and NeuroPro, in MS. Greater NeuroTox and lower NeuroPro were both associated with greater disease severity. Future studies need to investigate the KP metabolite patterns across the MS disability spectrum and may use comparable approaches to investigate whether KP imbalance follows similar or disease-specific patterns in diseases other than MS.Trial Registration Information NCT03322761, NCT02661555, NCT04762342, NCT04356248, DRKS00017091, DRKS00031445, DRKS00028792, DRKS00029105.

Open Access CRIS of the University of Bern
Global Health Strategies (United States) (US)
Openalex Percentile: Top 34%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.