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Heparin Synergistically Enhances Interleukin-11 Signaling through Upregulation of the Map Kinase Pathway.

2005· article· en· W2576221289 on OpenAlexaff
Raghav Rajgopal, Martin Butcher, Kimberly J. Walton, Stephen G. Shaughnessy

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsMcMaster University Medical Centre
Fundersnot available
KeywordsHeparinMAPK/ERK pathwayKinaseChemistrySTAT3p38 mitogen-activated protein kinasesCell biologySignal transductionProtein kinase CMolecular biologyProtein kinase ABiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Using an animal model of heparin-induced osteoporosis we previously demonstrated that heparin causes bone loss, in part, by increasing osteoclast number and activity. In an effort to account for these findings, we examined the effect of heparin on osteoclast formation in vitro. We found that while heparin alone had no effect, it was able to synergistically enhance Interleukin-11 (IL-11) - induced STAT3 (Signal Transducer and Activator of Transcription) activation and thus, increase both gp130 expression and osteoclast formation. In the present study, we examine the effect of various serine kinase inhibitors on heparin’s ability to synergistically enhance both STAT3 activation and gp130 expression. As assessed by electrophoretic mobility shift assays (EMSAs), treatment of murine calvaria cells with heparin was found to increase IL-11-induced STAT3-DNA complex formation by 2 fold. Inhibition of the c-Jun N-terminal kinase (JNK), p38 mitogen-activated protein (MAP) kinase, or the phosphatidylinositol 3-kinase (PI3-K) pathway had no effect on heparin’s ability to promote STAT3-DNA complex formation. In contrast, the mitogen-activated protein kinase kinase (MEK) inhibitor, PD098059, completely abolished the ability of heparin to act synergistically with IL-11. Similar results were obtained when northern blot analysis was used to assess heparin’s ability to enhance IL-11-induced gp130 expression. In an attempt to resolve the mechanism by which this was occurring, we examined the ability of heparin to influence STAT3 Ser727 phosphorylation in the presence or absence of IL-11. Heparin alone was found to have no effect on Ser727 phosphorylation, nor did heparin alter the phosphorylation status of Ser727 in the presence of IL-11. Heparin was, however, found to increase ERK1/2 (extracellular signal regulated kinase) activation in both a time and dose-dependent manner. When taken together, these findings suggest that heparin enhances IL-11-induced STAT3 activation and thus, gp130 expression, by a mechanism that is independent of STAT3 Ser727 phosphorylation, but which involves upregulation of the MAP Kinase pathway.

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 score0.014
Threshold uncertainty score0.429

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 head0.018
GPT teacher head0.263
Teacher spread0.245 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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