MétaCan
Menu
Back to cohort
Record W2376949235

Research of the expressing of iNOS and HSP70 genes induced by IFNγ in isolated swine heart

2004· article· en· W2376949235 on OpenAlexaff
Yong Wang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldVeterinary
TopicVeterinary medicine and infectious diseases
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsWestern blotHsp70AndrologySalineGeneShock (circulatory)Molecular biologyBiologyGene expressionReal-time polymerase chain reactionHeat shock proteinImmunologyMedicineInternal medicineEndocrinologyBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Objective To research the effects of interferon γ(IFNγ) on the two genes′expressions of iNOS and heat shock proteins 70 (HSP70),and on the long term protection of the preserved swine heart induced by late precondition. Methods Thirty swine were preconditioned by subcutaneous injection respectively and divided randomly into three groups : with normal saline, with IFNγ , and with IFNγ + aminoguanidin. After the basic measurements of left ventricular function, LDH and CK MB leakage, the hearts were isolated and kept in 4℃ cold crystalloid liquid. After 4 hours reservation, the isolated hearts were reperfused with warm blood ,and rebeated automatically or by electric shock. The samples of myocardial tissue were taken into liguid nitrogon at 60 min for measuring the expression of the two genes by RT PCR and Wstern blot. Results Compared to β actin, the HSP70 expression by RT PCR and Western Blot was evidently up regulated in two experience groups, the iNOS expression was evidently up regulated in IFNγ group, but not in IFNγ+ aminoguanidin group. Conclusion IFNγ could increase markedly the expression of iNOS and HSP70i genes, with positive influence on isolated swine heart.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.325

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 head0.134
GPT teacher head0.406
Teacher spread0.272 · 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

Explore more

Same topicVeterinary medicine and infectious diseasesFrench-language works237,207