| DB ID | MyCo_2820 |
| Title | Macrophage-derived CD36 + exosome subpopulations as novel biomarkers of Candida albicans infection |
| Year | 2024 |
| PMID | 38926392 |
| Fungal Diseases involved | Candida albicans infection |
| Associated Medical Condition | None |
| Genus | Candida |
| Species | albicans |
| Organism | Candida albicans |
| Ethical Statement | No ethical approval was required as the research in this article related to micro-organisms. |
| Site of Infection | None |
| Opportunistic invasive | None |
| Sample type | Extracted Conidia |
| Sample source | Extracted Conidia |
| Host Group | None |
| Host Common name | None |
| Host Scientific name | None |
| Biomarker Name | CD36 |
| Biomarker Full Name | CD36 |
| Biomarker Type | Diagnostic/Prognostic |
| Biomolecule | Protein |
| Geographical Location | China |
| Cohort | None |
| Cohort No. | None |
| Age Group | None |
| P Value | None |
| Sensitivity | None |
| Specificity | None |
| Positive Predictive Value | None |
| MIC | None |
| Fold Change | None |
| Pathway | None |
| Disease Introduction Mechanism | None |
| Technique | Bioinformatics analysis |
| Analysis Method | Exosome proteomic data analysis |
| ELISA kits | None |
| Assay Data | None |
| Validation Techniques used | Exosome proteomic data analysis, qRT-PCR |
| Up Regulation Down Regulation | Positive |
| Sequence Data | None |
| External Link | None |
