MétaCan
Menu
Back to cohort
Record W2366301587

Preliminary Study on Osteoarthritis of Kidney-Yang Deficiency and Thirteen Immune Genes

2005· article· en· W2366301587 on OpenAlexaff
Wang Mi-qu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Studies
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsComplementary DNAMicroarrayGeneDNA microarrayOsteoarthritisBiologyImmune systemMicroarray analysis techniquesGene expressionKidneyMedicineMolecular biologyImmunologyPathologyGenetics
DOInot available

Abstract

fetched live from OpenAlex

Objective To study the genes different expression by the cDNA microarray responsing to the heat puncture of osteoarthritis which is accompanied by the cold Zheng, to explore the curative effect of individuality medicine and medthods of evaluation. Methods Selected patients who have the deficiency syndrome of kidney yang by clinical observation and harvested their blood to extract mRNA,then reversely transcripted them to cDNA, which were labeled by cy-3-dUTP. After the patients took the treatment of heat puncture for half a month, their blood was harvested again and this time the cDNA were labeled by cy5-dUTP. These probes were hybridized with the cDNA microarrays, scanned and analyzed. Results The curative effect mark of cold Zheng was 28;the result demonstrated that there were 57 different genes, including up-regulated and down-regulated ones. In the 57 different genes, there were 33 recognized genes. 13 of the recognized genes are related to immunity. Conclusion By using cDNA microarrays, we find the osteoarthritis with Han Zheng genes involve extensive expression especially the genes on immunity and we have studied the whole mechanism of Han Zheng, explore the curative effect of individuality medicine and medthods of evaluation.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.413

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 head0.275
Teacher spread0.257 · 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 designObservational
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
Published2005
Admission routes1
Has abstractyes

Explore more

Same topicTraditional Chinese Medicine StudiesFrench-language works237,207