Detection of Bartonella henselae DNA in Triatoma sordida collected in peridomiciliary environments
Bibliographic record
Abstract
Bartonelloses represent a group of potentially fatal diseases associated with various clinical manifestations including endocarditis. Caused by bacteria belonging to the genus Bartonella, these microorganisms have a remarkable ability to infect mammals, and their transmission is commonly associated with hematophagous vectors such as fleas, lice, mosquitoes, and ticks. The aim of this study was to evaluate the occurrence of Bartonella sp. DNA in 81 triatomines of the species Triatoma sordida collected in the field in peri‑domiciliary areas of the Brazilian city of Seabra, located in the state of Bahia. Nested PCR was conducted targeting the ftsZ gene and real-time PCR targeting the gltA gene, both representing specific reactions for Bartonella henselae. Additionally, conventional PCR targeting kDNA was employed to evaluate the presence of Trypanosoma cruzi. Of the samples tested, 23/81 (28.39 %) bugs showed positive PCR for B. henselae. No sample showed positive PCR for T. cruzi. The high prevalence of triatomines with a positive PCR for B. henselae emphasizes the close relationship between these insects and the bacteria, indicating the need for further studies to investigate the vectorial potential of these kissing bugs.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".