Salivary Glands Proteins Expression of<i>Anopheles dirus</i>A Fed on<i>Plasmodium vivax-</i>and<i>Plasmodium falciparum</i>-Infected Human Blood
Bibliographic record
Abstract
Mosquitoes are able to adapt to feed on blood by the salivary glands which created a protein that works against the haemostasis process. This study aims to investigate the salivary glands proteins expression of 50 adult female An. dirus A mosquitoes, a main vector of malaria in Thailand, each group with an age of 5 days which were artificial membrane fed on sugar, normal blood, blood infected with P. vivax, and blood infected with P. falciparum. Then mosquito salivary gland proteins were analyzed by SDS-PAGE on days 0, 1, 2, 3, and 4 after feeding. The findings revealed that the major salivary glands proteins had molecular weights of 62, 58, 43, 36, 33, 30, and 18 kDa. One protein band of approximately 13 kDa was found in normal blood and blood infected with P. vivax fed on day 0. A stronger protein band, 65 kDa, was expressed from the salivary glands of mosquitoes fed with P. vivax- or P. falciparum-infected blood on only day 0, but none on days 1 to 4. The study shows that salivary glands proteins expression of An. dirus may affect the malaria parasite life cycle and the ability of mosquitoes to transmit malaria parasites in post-24-hour disappearance observation.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".