Results of detection of poly-virulent bacterial strains Lactobacillus spp. during associative interaction with protozoa Blastocystis ho-minis in vivo
Bibliographic record
Abstract
The identification of polyvirulent strains of Lactobacillus spp. bacteria with associative interaction with protozoa Blastocystis hominis in vivo was carried out. Lactobacillus spp. and B. hominis strains were obtained from the feces of 396 patients undergoing examination for intestinal dysbiosis. Identification was carried out using microscopic, bacteriological and parasitological methods. 112 reference strains of lactobacilli NK1 and K3SH24 deposited at the Institute of Genetics and Breeding of Industrial Microorganisms were used as control. The degree of virulence of the simplest blastocysts was determined by intraperitoneal administration to white mice (weighing 17.4+1.5 g) 0.5 ml of a culture suspension of the studied microorganisms grown on Suresh medium. Primers to several genes determining the ability to form type 1 fimbriae, type S and P fimbriae, bacterial adhesin intimin and hemolysin were used in the investigation. Testing of 396 Lactobacillus spp. strains isolated from microsymbiocenoses with Blastocystis hominis of varying degrees of virulence showed that the dynamics of detection of pathogenicity genes in lactobacilli increased with an increase in the degree of virulence of protozoa. Most often, in the general pool of lactobacillus strains, the desired amplicons were detected using primers to the fimA gene (up to 67.9%). During associative interaction with moderately and highly virulent blastocysts, an increase in the heterogeneity of the lactobacillus population was revealed, manifested by an increase in the frequency of detection of all studied genetic determinants of pathogenicity, compared with Lactobacillus spp. strains isolated from associations with avirulent B. hominis and in the control group.
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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".