Community Network Integration: An approach to alignment of One Health partners for solutions to 'Wicked' problems of antimicrobial resistance
Bibliographic record
Abstract
Hemotropic mycoplasmas (haemoplasmas) are wall-less bacteria, which may lead to anemia and, even, mortality in mammals. The present study was aimed to characterize the causative agent(s) of haemoplasma infection in blood samples taken from horses (n = 133) in south of Iran. Microscopic examination of blood smears and PCR assay were performed for the detection of hemotropic Mycoplasma and equine piroplasma (Babesia caballi and Theileria equi). For the purpose of molecular characterization, 16S rDNA and 18S rDNA markers were used for hemotropic Mycoplasma and piroplasma pathogens, respectively. The PCR-positive samples were sequenced for haemoplasma and further phylogenetic analysis was performed for the obtained haemoplasma sequences. Nine out of 133 (6.77 %, 95 % CI: 2.5–11.04 %) horses were positive for Mycoplasma sp. by PCR. Furthermore, three of these animals were co-infected with T. equi. Interestingly, the phylogenetic and molecular analysis of the haemoplasma sequences derived from the PCR amplicons in the equine positive cases showed 100 % identity with 16S rDNA in Mycoplasma ovis, an HM member mainly found in sheep and goats. In addition, the hematological analysis showed that PCR positive horses for M. ovis-like species had a lower hematocrit (Hct), hemoglobin (Hb) concentration, and red blood cell (RBC) count compared to the PCR negative ones (P ≤ 0.05). Mild anemia was also developed in the haemoplasma-positive horses. These findings represent the first molecular evidence of M. ovis-like species in horses. Further experimental studies are needed to examine the importance of this nonspecific host infection and evaluate its pathogenicity in equine and other species.
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 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 | 0.010 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".