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Record W2361063343

Differences of Hedysari Radix and Astragali Radix alternative in Fuqi Zhihan Granules on immunity in immunosuppressed mice

2012· article· en· W2361063343 on OpenAlexaff
Zhang Li-feng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsRadix (gastropod)CyclophosphamideIn vitroPhagocytosisImmunityCellular immunityLymphocyteT lymphocyteImmunologyAntagonismMacrophageBiologyImmune systemChemistryPharmacologyTraditional medicineMedicineBiochemistryChemotherapyReceptor
DOInot available

Abstract

fetched live from OpenAlex

AIM To comparatively study the differences of Fuqi Zhihan Granules on immunosuppressed mice in cellular immunity in the substitution of Hedysari Radix for Astragali Radix.METHODS Mice injected intraperitoneally with cyclophosphamide were modeled into the immunosuppressed mouse and intragastrically administered with the same dose of Hedysari Radix replaced by Astragali Radix in Fuqi Zhihan Granules through the determination of macrophages in vitro macrophage phagocytic capacity,spleen lymphocyte killing activity,the percentage of T lymphocyte subsets,serum IL-1β level to compare both cyclophosphamide antagonism.RESULTS Fuqi Zhihan Granules containing Hedysari Radix and Astragali Radix could significantly increase the level of IL-1β,and antagonize immunosuppressive effect caused by cyclophosphamide,concluding promoting T lymphocyte proliferation,cytotoxic activity of NK cell,quantity of T lymphocyte subgroup,and phagocytosis of the macrophage of varying degrees.Hedysari Radix was superb to Astragali Radix in Fuqi Zhihan Granules in raising T lymphocyte proliferation and IL-1β level.CONCLUSION Hedysari Radix has a similar role in cell immunity regulation with Astragali Radix,and Hedysari Radix has better effect in T cell proliferation.

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 score0.040
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.028
GPT teacher head0.284
Teacher spread0.256 · 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
Published2012
Admission routes1
Has abstractyes

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