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Record W1496753348 · doi:10.1186/ar1399

The potential role of adiponectin in driving arthritis

2004· article· en· W1496753348 on OpenAlexfundno aff
Ulf Müller‐Ladner, A Ehling, Elena Neumann, IH Tarner, Hans Herfarth, Joachim Grifka, Jürgen Schölmerich, Stefano Gay, Andréas Schäffler

Bibliographic record

VenueArthritis Research · 2004
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsnot available
FundersCanadian Arthritis NetworkSchool of Medicine, University of California, San DiegoMenzies Institute for Medical ResearchNational Cancer InstituteArthritis SocietyUniversity of North Carolina at Chapel HillGenentechNational Institutes of HealthBiogenLupus Research InstitutePfizerNatural Sciences and Engineering Research Council of CanadaDutch Arthritis AssociationOesterreichische NationalbankDeutsche ForschungsgemeinschaftNuffield FoundationPhysiotherapy Foundation of CanadaCanadian Institutes of Health ResearchNational Institute of Arthritis and Musculoskeletal and Skin DiseasesLupus Research AllianceWellcome TrustNewcastle UniversityNational Institute of Allergy and Infectious DiseasesHoward Hughes Medical InstituteAustrian Science FundArthritis Foundation
KeywordsComputer science

Abstract

fetched live from OpenAlex

Recent data indicate that adipose tissue synthesizes and releases numerous immunocompetent molecules such as tumor necrosis factor (TNF) alpha, C3a and C1-inhibitor. As adipose tissue is also part of rheumatoid joints, we examined whether adiponectin (apM-1), which has structural homologies to complement proteins and members of the TNF family, and its receptors are present in rheumatoid arthritis (RA) and osteoarthritis (OA) synovium. In addition, owing to the ability of adiponectin to exert several immunmodulatory functions, the effect and regulation of adiponectin-dependent synthesis of proinflammatory and antiinflammatory cytokines was examined. Snap-frozen synovial sections of patients with RA, OA and articular adipose tissue were evaluated by adiponectin and adiponectin receptors type 1 and 2-specific primers, by in situ hybridization using adiponectin riboprobes and antibodies against adiponectin in combination with double-labeling for fibroblasts. In addition, fresh synovial fibroblasts derived from RA and OA patients undergoing knee joint endoprothetic surgery were stimulated with adiponectin in concentrations from 0.2 to 100 μg/ml for 15 hours and compared with unstimulated fibroblasts. Supernatants were examined for production of IL-1β, IL-4, IL-6, IL-10, matrix metalloproteinase (MMP)-1 and MMP-3 by commercially available ELISA. In all patients, strong expression of adiponectin mRNA could be detected in synovial lining and to a lesser extent in synovial sublining. Double-labeling with anti-vimentin (fibroblasts) showed that up to 60% of RA fibroblasts expressed the adiponectin gene and adiponectin type 1 and 2 receptors. Stimulation of synovial fibroblasts with adiponectin showed a dose-dependent upregulation of IL-6 and MMP-1, both in RA and OA synovial fibroblasts. Whereas treatment without or with a small concentration of adiponectin (0.2 μg/ml) resulted only in a low production of IL-6, a concentration-dependent increase could be found with the highest amount produced with 100 μg/ml adiponectin. In contrast, synthesis of IL-1β, IL-4, and IL-10 was not altered by adiponectin stimulation. Of interest, both the TNF inhibitors adalimumab and etanercept were able to downregulate adiponectin-dependent IL-6 and MMP-1 synthesis significantly. The results show that adipocytokines such as adiponectin are not only present in arthritic synovium, but also that adiponectin has stimulatory effects both on the production of distinct cytokines (e.g. IL-6) and of matrix-degrading enzymes (e.g. MMP-1) in synovial fibroblasts. Therefore, the data support the hypothesis that adiponectin may alter the expression of local synovial cytokines and thus may not only represent a candidate gene of a complement/TNF-related pathway operative in RA, but also one of the targets of TNF inhibitor therapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.312
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2004
Admission routes1
Has abstractyes

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