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Record W7072087652

Viral warriors: Screening water samples for bacteriophages against multiple drug resistant bacteria

2016· article· en· W7072087652 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsnot available
Fundersnot available
KeywordsTyphoid vaccineTable (database)MicrococcusLimiting
DOInot available

Abstract

fetched live from OpenAlex

Although mutation occurs randomly in nature and is passed randomly between bacterial species, the misuse and overuse of antibiotics in modern medicine has selected for antibiotic resistant organisms, resulting in an epidemic of antibiotic resistant infections. Used extensively in former Soviet Union countries with success, Western researchers have begun considering phage therapy for treatments, however it must be subjected to rigorous clinical trials before it can be approved by the FDA as a treatment method in North America (Gill et al. 2010; Abhilash et al. 2009).\n\nIn this study, phage screening was performed on eight MDR bacterial strains provided from LifeLabs and Royal Inland Hospital in Kamloops, B.C.: E. coli 15-102, 15-124, and 14-318; Micrococcus luteus; Methicillin Resistant Staphylococcus Aureus (MRSA) 1 and 2; Serratia marcescens; and Mycobacterium smegmatis. One non-resistant E. coli strain known to be killed by phages found in Kamloops sewage was used as a positive control. Seven water samples and one non-water sample were used in this experiment as a source of phages. Water samples were obtained from the Kamloops Sewage Treatment Plant, the Domtar pulp mill run-off, the Pacific Ocean, Bisaro Anima Cave, and alkaline ponds around Kamloops. The non-water sample was created from mixing dirt from Abbotsford, B.C. with sterile water. An additional enriched water sample was made through the incubation of broth culture, nutrient broth, and sewage water overnight at 37°C in an attempt to select for more strain-specific phages (Prescott et al. 2005). In addition, sterile water was used in the protocol as a negative control.\n\nThe successfulness of each phage screening trial was measured through the formation of plaques, which developed after plating the Multiple Drug Resistant (MDR) bacteria, molten agar, and phages for confluent growth on nutrient agar (Prescott et al. 2005). Of all the bacteria and environmental water samples, plaques only developed for the E. coli 14-318 strain using sewage water from the Kamloops Sewage Treatment Center. Using phage screening against these MDR bacteria allowed us to see that MDR pathogens present in our community are treatable with a potentially more beneficial and successful method to antibiotics.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1370.000

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 head0.005
GPT teacher head0.177
Teacher spread0.172 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

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