Resistance of Candida glabrata to drugs and the host immune system
Bibliographic record
Abstract
Background: Candida glabrata is a ubiquitous organism and this species is one of the normal floras that commonly found in oral cavity, gastrointestinal and vaginal tract.However, they can be pathogenic and caused serious infection that more likely to occur in immunocompromised patients.Widespread and increased usage of immunosuppressive therapies with the additional of broad-spectrum antibiotic treatment can also lead to the significant increment of Candida infections.Candida species can cause nosocomial infection that associated with alarming high mortality rate worldwide.C. glabrata is one of the Candida species that raise an attention of a researcher due to their high resistance to certain drugs and antifungal as well as host immune system.Objective: To investigate certain aspects of the C. glabrata that contributes to their resistance to drugs and as host in immune system.Results: Microorganisms including Candida have an ability to evolve in order to sustain their survival and it is creating a new microbial community that are more resistant.C. glabrata possessed several strategies for their resistance including production of biofilm, genomic plasticity as well as chromatin alteration.On the other hand, their resistance may cause by the mutation in certain gene.Besides, they also use a variety of mechanisms that enable their adaptation works successfully and their survival as host in immune system.Conclusion: A significant number of researches have been conducted to elucidate resistant mechanism of C. glabrata thus, much information has been gained on how their resistant mechanism works and has enhanced our knowledge on the virulence and resistance mechanisms associated with Candida species especially C. glabrata.Further studies and investigation in this area are crucial particularly on the identification and development of new targets for novel therapeutics against these recently emerged pathogens.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".