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Ship Is Essential for Both Endotoxin- and CpG-Induced Tolerance and for Their Cross-Tolerance.

2004· article· en· W2545396337 on OpenAlexaff
Laura M. Sly, Stephanie L. Omeis, Michael J. Rauh, Gerald Krystal

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsTerry Fox Research InstituteBC Cancer Agency
Fundersnot available
KeywordsLipopolysaccharideAutocrine signallingTLR4BiologyCell biologyTLR9CytokineDownregulation and upregulationReceptorImmune toleranceImmunologyHaematopoiesisSignal transductionImmune systemGene expressionStem cell

Abstract

fetched live from OpenAlex

Abstract An initial exposure to lipopolysaccharide (LPS, also known as endotoxin), which activates macrophages via Toll-like receptor 4 (TLR4), induces a transient state of hypo-responsiveness to a subsequent challenge with LPS. The mechanism underlying this phenomenon, termed endotoxin tolerance, remains poorly understood although the activation/upregulation of a number of negative regulators has been implicated. Related to this, we recently demonstrated that the SH2-containing inositol-5′-phosphatase, SHIP, which is a key negative regulator of the PI3K pathway in hematopoietic cells, is essential for endotoxin tolerance. Specifically, we found that SHIP−/− bone marrow derived macrophages (BMmΦs) do not display endotoxin tolerance. Moreover, an initial LPS treatment of wild-type BMmΦs increases the level of SHIP protein 10 fold and this increase is critical for the hypo-responsiveness to a subsequent LPS stimulation. Interestingly, this increase in SHIP protein is mediated by the LPS-induced production of autocrine-acting TGFβ and neutralizing antibodies to TGFβ, as well as antisense oligonucleotides to SHIP, block LPS-induced endotoxin tolerance. In vivo studies with SHIP+/+ and −/− mice confirm these in vitro findings and show a correlation between the duration of endotoxin tolerance and elevated SHIP levels (Sly et al., Immunity, in Press). We have now followed up on these studies by exploring the role of SHIP in the stimulation of other Toll-like receptors. Specifically, we asked whether SHIP plays a role in repressing CpG-induced pro-inflammatory cytokine production, which is mediated via the activation of TLR9. Our results, using SHIP+/+ and −/− BMmΦs, suggest that SHIP negatively regulates this TLR as well and is required for CpG-induced tolerance. Moreover, we found that CpG treated SHIP−/− BMmΦs show higher pro-inflammatory cytokine production compared to their SHIP+/+ counterparts when challenged with LPS. This indicates that SHIP plays a critical role in dampening down inflammatory responses in the innate immune system.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.020
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.315
Teacher spread0.281 · 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 teacher head, 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

Citations0
Published2004
Admission routes1
Has abstractyes

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