Evidence map›Paper›PMID 39817309›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2025

Proteomic Profiling of the Large-Vessel Vasculitis Spectrum Identifying Shared Signatures of Innate Immune Activation and Stromal Remodeling.

Robert T Maughan, Erin Macdonald-Dunlop, Lubna Haroon-Rashid, Louise Sorensen, Natalie Chaddock, Shauna Masters, Andrew Porter, Marta Peverelli, Charis Pericleous, Andrew Hutchings and 6 more

Abstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

16 authors.

Robert T MaughanImperial College London, London, United Kingdom.ORCID 0000-0003-4153-903X
Erin Macdonald-DunlopImperial College London, London, United Kingdom.
Lubna Haroon-RashidUniversity of Leeds, Leeds, United Kingdom.
Louise SorensenUniversity of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
Natalie ChaddockUniversity of Leeds, Leeds, United Kingdom.
Shauna MastersUniversity of Oxford, Oxford, United Kingdom.
Andrew PorterImperial College London, London, United Kingdom.
Marta PeverelliImperial College London, London, United Kingdom.ORCID 0000-0003-2856-2825
Charis PericleousImperial College London, London, United Kingdom.
Andrew HutchingsLondon School of Hygiene & Tropical Medicine, London, United Kingdom.
James RobinsonUniversity of Leeds, Leeds, United Kingdom.
Taryn YoungsteinImperial College London, London, United Kingdom.
Raashid A LuqmaniUniversity of Oxford, Oxford, United Kingdom.
Justin C Mason
Ann W MorganUniversity of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.ORCID 0000-0003-1109-624X
James E PetersImperial College London, London, United Kingdom.ORCID 0000-0002-9415-3440

Funding

Health Technology Assessment Programme TABULMedical Research Council Confidence in Concept, LeedsMedical Research Council TARGET Partnership Award (MR/N011775/1)MRF MRF-042-0001-RG-PETE-C0839MRF MRF-057-0003-RG-PETE-C0799MRF_ MRF-042-0001-RG-PETE-C0839MRF_ MRF-057-0003-RG-PETE-C0799National Institute for Health and Care Research Leeds MedTech and Invitro Diagnostics Co-operativeNational Institute for Health and Care Research Senior Investigator NIHR202395NIHR Imperial Biomedical Research Centre NIHR203331NIHR Leeds Biomedical Research CentreVasculitis UK V2105Versus Arthritis Career Development Fellowship, 21223
6 · The paper itself

Abstract

objectiveTakayasu arteritis (TAK) and giant cell arteritis (GCA), the most common forms of large-vessel vasculitis (LVV), can result in serious morbidity. Understanding the molecular basis of LVV should aid in developing better biomarkers and treatments.

methodsPlasma proteomic profiling of 184 proteins was performed in two cohorts. Cohort 1 included patients with established TAK (n = 96) and large-vessel GCA (LV-GCA) (n = 35) in addition to healthy control participants (HCs) (n = 35). Cohort 2 comprised patients presenting acutely with possible cranial GCA (C-GCA) in whom the diagnosis was subsequently confirmed (C-GCA, n = 150) or excluded (Not C-GCA, n = 89). Proteomic findings were compared to published transcriptomic data from LVV-affected arteries.

resultsIn cohort 1, comparison to HCs revealed 52 differentially abundant proteins (DAPs) in TAK and 72 DAPs in LV-GCA. Within-case analyses identified 16 and 18 disease activity-associated proteins in TAK and LV-GCA, respectively. In cohort 2, comparing C-GCA versus not C-GCA revealed 31 DAPs. Analysis within C-GCA cases suggested the presence of distinct endotypes, with more pronounced proteomic changes in the biopsy-proven subgroup. Cross-comparison of TAK, LV-GCA, and biopsy-proven C-GCA revealed highly similar plasma proteomic profiles, with 26 shared DAPs including interleukin 6 (IL-6), monocyte/macrophage-related proteins (CCL7, CSF1), tissue remodeling proteins (TIMP1, TNC), and novel associations (TNFSF14, IL-7R). Plasma proteomic findings reflected LVV arterial phenotype; for 42% of DAPs, the corresponding gene was differentially expressed in tissue.

conclusionThese findings suggest shared pathobiology across the LVV spectrum involving innate immunity, lymphocyte homeostasis, and tissue remodeling. Network-based analyses highlighted immune-stromal cross-talk and identified novel therapeutic targets (eg, TNFSF14).

Indexed as

Giant Cell ArteritisImmunity, InnateTakayasu ArteritisAdultAgedBiomarkersCase-Control StudiesCohort StudiesFemaleHumansInterleukin-6MaleMiddle AgedProteomicsTissue Inhibitor of Metalloproteinase-1BiomarkersInterleukin-6Tissue Inhibitor of Metalloproteinase-1

Identifiers

PMID39817309
PMCPMC12209745

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Registered trials

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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.