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Record W2777560086 · doi:10.30699/mmlj17.1.3.100

Identification of Mycoplasma Muris Isolated from Vaginal Samples of NIH Mice

2018· article· en· W2777560086 on OpenAlexvenueno aff
Mohammad Reza Zinatizadeh, Fatemeh Abedini, Mostafa Jafarpour, Zahra Masoumalinejad

Bibliographic record

VenueModern Medical Laboratory Journal · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsnot available
Fundersnot available
KeywordsMicrobiology16S ribosomal RNAMycoplasmaBiologyAgarMycoplasma genitaliumBacteriaVirologyChlamydia trachomatis

Abstract

fetched live from OpenAlex

Mycoplasma muris PCR New strain 16S rRNA sequences NIH MiceMycoplasma muris (M.M) is a small pathogenic bacterium that lives in the female mouse genital tract.Mycoplasma muris may have harmful effects on the reproductive health of female.This research was performed to optimize the detection of M. muris in NIH mice in the Department of Animal Breeding, Razi Vaccine and Research Institute, Iran.In this cross-sectional study, 29 vaginal samples of NIH mice were selected through simple random sampling.For detection of the mycoplasma, the vaginal tissue removal of samples was done.First, samples were crushed using mortar and pestle with PBS 1ml, then were cultured in the PPLO broth and incubated at 37°C for 24h, they were passed through 0.45 μm pore-size filters and inoculated into specific PPLO broth and agar media for 3-4 weeks.In the next section, the PCR test was used with primers of 16S rRNA gene of M. muris.From 29 tested samples, 17.24% samples were positive for M. muris by PCR method, while 35.93% cultures showed positive.The phylogenetic analysis indicated a new strain of M. muris.The results of culture and PCR methods displayed the contamination in NIH mice.Therefore, Therefore, more researches are needed regarding the presence of mycoplasma for treatment and clinical signs.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.280
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2018
Admission routes1
Has abstractyes

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