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Record W2519803246 · doi:10.1136/lupus-2016-000179.43

II-13 Suppression of systemic autoimmunity by the innate immune adaptor sting

2016· article· en· W2519803246 on OpenAlexfundno aff
Shruti Sharma, Allison M. Campbell, Jennie Chan, Stefan Schattgen, Gregory M. Orlowski, Ribhu Nayar, Annie H. Huyler, Kerstin Nündel, Chandra Mohan, Leslie J. Berg, Mark J. Shlomchik, Ann Marshak‐Rothstein, Katherine A. Fitzgerald

Bibliographic record

VenueInnate Immunity · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsStingAutoimmunityMedicineImmunologySystemic lupus erythematosusImmune systemInternal medicineDisease

Abstract

fetched live from OpenAlex

Background Cytosolic DNA-sensing pathways that signal via the adaptor Stimulator of Interferon Genes (STING) mediate immunity to pathogens and have also been known to promote autoimmune pathology in DNAseII/III-deficient mice. However, the role of these pathways in systemic models of autoimmunity is unexplored. We hypothesised that cytosolic DNA sensing pathways contribute to the pathogenesis of autoimmune disease. Surprisingly, we report here that STING potently suppresses inflammation in several models of systemic lupus erythematosus (SLE).Materials and methods A controlled F2 intercross between heterozygote STING ± lpr±littermates generated STING-deficient lupus-prone mice homozygous for deficiency in Fas as well as STING (STING/lpr, n ≥10) or wild type for STING (WT/lpr, n ≥10). Mice were analysed at 16 wk of age. A similar F2 cross was set up for IRF3−/− and MRL/lpr mice as well as STING−/− and C57Bl/6lpr/lpr and analysed as above for STING/lpr mice (n ≥10 per group). C57BL/6, cGAS−/− , Unc93b3d/3d, and STING−/− mice were injected i.p. with TMPD and evaluated at day 14 and 6 months post injection.Results Lymphoid hypertrophy, autoantibody production, serum cytokine levels, and other indicators of immune activation were markedly increased in STING −/− autoimmune-prone mice compared to STING+/+ littermates. As a result, STING−/− autoimmune-prone mice had significantly shorter lifespans than controls. TLR-dependent systemic inflammation during TMPD-mediated peritonitis was similarly aggravated in STING−/− and cGAS−/− mice. Mechanistically, cGAS and STING-deficient ?macrophages failed to express negative regulators of immune activation, and thus were hyper-responsive to TLR ligands. This hyper-reactivity corresponds to dramatically elevated numbers of inflammatory macrophages and granulocytes in vivo.Conclusions Our findings reveal an unexpected negative regulatory role for STING during chronic inflammation. While the dysregulation of TLR7/9 signalling is a recurrent theme in systemic autoimmune, numerous studies have now revealed a protective role for TLR9 in SLE. Importantly, the exacerbated disease we observed in STING/lpr mice resembles that reported for TLR9/lpr mice and implies common protective mechanisms originating from STING and TLR9. Although the precise mechanism remains an open question, it is clear that cGAS/STING-dependent pathways maintain a threshold of negative regulators. We propose a similar setting of thresholds from TLR-dependent pathways and further suggest that such coordinated induction of cell-intrinsic thresholds of negative regulators is key in offsetting inflammation. Our data raise a cautionary note regarding the use of newly developed STING-directed therapeutics in systemic disease, because they may have unintended consequences and perturb a carefully orchestrated balance between cytosolic and endosomal signalling cascades.

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 score0.003
Threshold uncertainty score0.011

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.245
Teacher spread0.230 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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