Genotype and subtype analyses of Cryptosporidium isolate from humans by gp60 PCR-RLFP in Zabol, Southeast of Iran
Bibliographic record
Abstract
Cryptosporidium parasite is a cause of diarrhea in humans and other cold and endotherm animals that have been widely distributed throughout the world.This study aimed to determine the genetic diversity of Cryptosporidium in children with diarrhea using the GP60 gene by Polymerase Chain Reaction Restriction Fragment Length Polymorphism (PCR-RFLP) method.In this study, stool specimens were collected from 182 children with diarrhea referring to Zabol hospitals.By direct observing the direct wet smear, Sheather's Sugar Flotation Solution, and Ziehl-Neelsen staining, examinations were conducted to identify the parasite, eventually, on DNA Extracted from isolates, PCR-RFLP was performed.From the total of samples of 182 stool specimens, 27 isolates were diagnosed infected with Cryptosporidium using the Ziehl-Neelsen staining method, of which 17 isolates were from Cryptosporidium parvum and 10 isolates from Cryptosporidium hominis using molecular examinations.Both human and cattle genotypes of Cryptosporidium can be seen in children with diarrhea.However, given that the dominant species are Cryptosporidium parvum, the zoonotic transmission is more common than human transmission, and contact with livestock is considered as the most important source of human contamination.
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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 | 0.001 | 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".