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Record W4400003288 · doi:10.18280/ijdne.190329

Investigating the Impact of C. krusei and Chitosan Treatment on Liver and Kidney Function: A Comprehensive Study

2024· article· en· W4400003288 on OpenAlexvenueno aff
Hanan Shihab Ahmad, Saja Jamal Noman

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2024
Typearticle
Languageen
FieldHealth Professions
TopicDiverse Scientific Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChitosanFunction (biology)Renal functionKidneyMedicineEngineeringComputer scienceInternal medicineBiologyChemical engineeringCell biology

Abstract

fetched live from OpenAlex

The present research explores the effects of Candida krusei yeast infection and chitosan treatment on rabbit liver and kidney functions.Utilizing male rabbits as a model, the research categorizes them into four distinct groups for clarity: the Candida krusei Infection Group, the Chitosan Treatment Group, the Combined C. krusei and Chitosan Group, and the Control Group.It was found that the C. krusei Infection Group and the Combined C. krusei and Chitosan Group had a significant increase in blood serum glucose levels as compared to the Control Group (P < 0.05).Comparatively, the Chitosan Treatment Group exhibited a significant reduction in glucose levels indicating a neutralizing impact on the hyperglycemia caused by C. krusei.The other finding is that the Group in the Chitosan Treatment 4 demonstrated significantly reduced levels of urea and uric acid in the blood serum than in the Group in the Control, which reflects a likely protection of kidney function (P < 0.05).In relation to protein metabolism, the Chitosan Treatment Group presented an elevation in total plasma protein levels and a reduction in serum albumin concentrations with significant differences (P < 0.05) when compared to the Control Group.The globulin levels analysis, in turn, confirmed these results, displaying a close tendency.Liver tissue sections histological examination reported that a hemorrhage within the parenchyma and hemolysis in the Chitosan Treatment Group, the C. krusei, and Nystatin Treated Groups showed inflammatory infiltrates, and extensive steatosis.The steatosis and lymphocytes infiltration were found in C. krusei Infection Group, in turn the focal lymphocytic infiltration and some necrotic cells were observed in Combined C. krusei and Chitosan Group.Kidney tissues in the Chitosan Treatment Group exhibited glomerular atrophy, while those of the C. krusei and Nystatin-Treated Groups showed lymphocyte infiltration and renal tubule dilation.The C. krusei Infection Group presented with renal tubule laceration and endothelial cell degeneration, whereas the Combined C. krusei and Chitosan Group had glomerular prolapse and early atrophy.All in all, in this study, the effects of C. krusei infection and chitosan therapy on glucose metabolisms, renal function and histological integrity of liver and kidney tissues in rabbits were revealed to be contrasting.The chitosan treatment provided resistance to the rabbits against the systemic effects of the C. krusei infection, showing its prophylactic role in both fungal infections and their systemic consequences.This type of knowledge reinforces the chitosan therapy possibility, and at the same time dictates the necessity of more clinical use and safety studies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.082
GPT teacher head0.427
Teacher spread0.345 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractno

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