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The Toxic Effects of Low Molecular Weight Components of Cow Colostrums: The Short-Term and Long-Term Effects

2018· article· en· W2783602877 on OpenAlexvenueno aff
А. И. Божков, E.G. Ivanov, Natalia I. Kurguzova, Muhammad M.A. Alsardia, R.A. Akzhigitov, S.Ya. Baranikova, V.I. Potapova, A.S. Chuprikova

Bibliographic record

VenueJournal of Nutritional Therapeutics · 2018
Typearticle
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsnot available
Fundersnot available
KeywordsTerm (time)ChemistryInternal medicineMedicinePhysics

Abstract

fetched live from OpenAlex

Background: Low-molecular components of colostrum (LMWCC) have a pronounced biological activity. We investigated the effect of different doses of LMWCC (0.01, 0.1, 1 and 5 g/100 g of body weight) on the behavior, dynamics of growth, acute and chronic toxicity, as well as the relative weight of the liver, spleen and kidneys of the experimental animals. Methods: We used 100 3-month male rats in the experiment. All animals were divided into 5 groups of 20 animals in each group, LMWCC was administered per os, and the control group received sterile water. Results: LMWCC revealed no pirogenic effect in a wide diapason of doses (0,01-5 g/100 g of animal mass). Immediately after the LMWCC administration the short-time decrease in the motion activity was observed. The low doses of LMWCC induced diarrhea in 10-20 % of of animals, the super-large dose – in 75% of animals. The acute toxicity of LMWCC (death of 15 % of animals) was detected only in super-large dose of LMWCC and it was accompanied by pronounced diarrhea. LMWCC influenced the mass of liver, spleen and kidney. 60 days after LMWCC administration the mass of liver was restored to control weight, but the mass of spleen and kidney was not restored. Conclusion: LMWCCdo not have chronic toxicity and can be attributed to non-toxic compounds with a possible side effect - a violation of the digestive 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.372

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 studies0.0000.001
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 head0.036
GPT teacher head0.332
Teacher spread0.296 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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