Evidence map›Paper›PMID 42321858›Full record

ArticleArthritis research & therapy2026

Osteoarthritis pain inversely correlates with histidine and glutamine following CSF and serum profiling.

Isobel K Dunstan, Line J H Rasmussen, Fay Probert, Dorte A Olsen, Jonna S Madsen, Jesper Eugen-Olsen, Thomas Peter Enggaard, Claus Varnum, Kate L Lambertsen, Daniel C Anthony and 1 more

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Isobel K DunstanDepartment of Pharmacology, Medical Sciences Division, University of Oxford, Mansfield Road, Oxford, OX1 3QT, UK.
Line J H RasmussenDepartment of Clinical Research, Copenhagen University Hospital, Hvidovre, Denmark.
Fay ProbertDepartment of Chemistry, Mathematical, Physical & Life Sciences Division, University of Oxford, Oxford, UK.
Dorte A OlsenDepartment of Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.
Jonna S MadsenDepartment of Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.
Jesper Eugen-OlsenDepartment of Clinical Research, Copenhagen University Hospital, Hvidovre, Denmark.
Thomas Peter EnggaardDepartment of Anaesthesia, Multidiciplinary Pain Center, Copenhagen University Hospital, Copenhagen, Denmark.
Claus VarnumDepartment of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
Kate L LambertsenDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Daniel C AnthonyDepartment of Pharmacology, Medical Sciences Division, University of Oxford, Mansfield Road, Oxford, OX1 3QT, UK. daniel.anthony@pharm.ox.ac.uk.
Morten Rune Blichfeldt-EckhardtDepartment of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.

Funding

The Danish Rheumatism Association R155-A4866-B1363 and R175-A6088-B1363
6 · The paper itself

Abstract

backgroundOsteoarthritis is a leading cause of pain and disability, yet the biological processes linking peripheral joint pathology with central pain mechanisms and wider symptom burden remain poorly defined.

methodsWe performed an integrated metabolomic and inflammatory analysis of cerebrospinal fluid and serum obtained from patients with osteoarthritis (n = 81) and healthy pain-free controls (n = 70). Proton nuclear magnetic resonance spectroscopy was used for metabolomic profiling, alongside targeted protein assays for inflammatory mediators. Orthogonal partial least squares discriminant analysis was applied to assess separation between groups and to determine diagnostic accuracy. Associations between metabolites and clinical outcomes, including pain intensity, disability and sleep disturbance, were examined, with adjustment for age and BMI.

resultsClear separation between osteoarthritis and healthy pain-free control participants was observed in both biofluids, with classification accuracies of 87% for serum and 89% for cerebrospinal fluid. Reduced serum histidine, glutamine, albumin (lysyl) and lysine distinguished osteoarthritis from healthy controls. In cerebrospinal fluid, osteoarthritis was characterised by higher lactate and glutamate and lower glucose and glutamine compared to controls. Combining metabolomic data with inflammatory proteins increased diagnostic accuracy to 90% and remained significant after matching for age and BMI. Reductions in serum histidine and glutamine were consistent across subgroups, including stratification by pain severity. These metabolites correlated inversely with pain intensity, disability, sleep disturbance and overall symptom impact, and were more markedly altered in women, who also reported greater symptom burden.

conclusionsOsteoarthritis is associated with a distinct pattern of peripheral and central metabolic disturbance. Histidine and glutamine emerge as promising biomarkers related to pain and clinical severity, highlighting metabolic pathways as potential targets for improved stratification and intervention in osteoarthritis pain.

Indexed as

GlutamineHistidineOsteoarthritisPainAgedBiomarkersFemaleHumansMaleMetabolomicsMiddle AgedPain MeasurementBiomarkersGlutamineHistidine1H NMR spectroscopyCerebrospinal fluidChronic pain biomarkersC-reactive proteinCytokinesMetabolomicsNeuroinflammationOsteoarthritis

Identifiers

PMID42321858
PMCPMC13531973

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.