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Record W4399460957 · doi:10.1016/j.jaut.2024.103263

Inflammation dynamically regulates steroid hormone metabolism and action within macrophages in rheumatoid arthritis

2024· article· en· W4399460957 on OpenAlexaff
Claire Martin, A Crastin, M S Sagmeister, M S Kalirai, J D Turner, L MacDonald, M Kurowska-Stolarska, D Scheel-Toellner, Angela E. Taylor, L C Gilligan, K Storbeck, M Price, C M Gorvin, A Filer, A R Clark, S W Jones, Karim Raza, M Hewison, R S Hardy

Bibliographic record

VenueJournal of Autoimmunity · 2024
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsInstitute of Infection and Immunity
FundersNIHR Sheffield Biomedical Research CentreBirmingham Biomedical Research CentreVersus ArthritisNovo Nordisk FondenMedical Research CouncilNovo NordiskNovo Nordisk PharmaNational Institute for Health and Care ResearchWellcome Trust
KeywordsRheumatoid arthritisInflammationHormoneSteroidMetabolismSteroid hormoneAction (physics)MedicineImmunologyEndocrinology

Abstract

fetched live from OpenAlex

In inflammatory diseases such as rheumatoid arthritis (RA), steroid metabolism is a central component mediating the actions of immuno-modulatory glucocorticoids and sex steroids. However, the regulation and function of cellular steroid metabolism within key leukocyte populations such as macrophages remain poorly defined. In this study, the inflammatory regulation of global steroid metabolism was assessed in RA macrophages. Bulk RNA-seq data from RA synovial macrophages was used to assess transcripts encoding key enzymes in steroid metabolism and signalling. Changes in metabolism were assessed in synovial fluids, correlated to measures of disease activity and functionally validated in primary macrophage cultures. RNA-seq revealed a unique pattern of differentially expressed genes, including changes in genes encoding the enzymes 11β-HSD1, SRD5A1, AKR1C2 and AKR1C3. These correlated with disease activity, favouring increased glucocorticoid and androgen levels. Synovial fluid 11β-HSD1 activity correlated with local inflammatory mediators (TNFα, IL-6, IL-17), whilst 11β-HSD1, SRD5A1 and AKR1C3 activity correlated with systemic measures of disease and patient pain (ESR, DAS28 ESR, global disease activity). Changes in enzyme activity were evident in inflammatory activated macrophages in vitro and revealed a novel androgen activating role for 11β-HSD1. Together, increased glucocorticoids and androgens were able to suppress inflammation in macrophages and fibroblast-like-synoviocytes. This study underscores the significant increase in androgen and glucocorticoid activation within inflammatory polarized macrophages of the synovium, contributing to local suppression of inflammation. The diminished profile of inactive steroid precursors in postmenopausal women may contribute to disturbances in this process, leading to increased disease incidence and severity. Schematic of changes in steroid metabolism in inflammatory activated macrophages that favour increased synthesis of the active androgen Dihydrotestosterone (DHT) and the active glucocorticoid cortisol (F). The local activation suppresses pro-inflammatory profiles in macrophages and attenuates TNFα driven synovial fibroblast hyperproliferation. Highlights • In patients with rheumatoid arthritis, inflammatory macrophages are engines of steroid metabolism, generating androgens and glucocorticoids • These glucocorticoids and androgens are immunomodulatory, suppressing inflammatory cytokine profiles and attenuating synoviocyte hyperproliferation. • The glucocorticoid activating enzyme 11beta-HSD1 plays a novel role in this context bridging androgen activation from circulating precursors. • A diminished profile of inactive steroid precursors metabolites in postmenopausal women may contribute to increased disease incidence and severity.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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 designBench or experimental
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

Citations21
Published2024
Admission routes1
Has abstractyes

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