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Record W4301394874 · doi:10.26685/urncst.384

Inhibition of Borrelia burgdorferi by 3,3-Diindolylmethane: A Research Protocol

2022· article· en· W4301394874 on OpenAlexafffund
Yan Jin Xu, Cindy Lei

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsUniversity of Toronto
FundersUniversity of Calgary
KeywordsBorrelia burgdorferiAbsorbanceNegative controlLYMESodium hypochloritePositive controlChemistryLyme diseaseAntimicrobialMicrobiologyBiologyChromatographyMedicineImmunologyTraditional medicineOrganic chemistry

Abstract

fetched live from OpenAlex

Introduction: The spread of Borrelia burgdorferi is greatly exacerbated by the climate crisis. Rising global temperatures have increased the geographic range of B. burgdorferi-carrying ticks. 3,3-diindolylmethane (DIM) is a widely used estrogen supplement with a highly concentrated positive charge on one side, potentially inhibiting bacterial growth by attracting the negatively charged bacterial membranes, causing membrane tearing. DIM could allow for more comfortable treatment of Lyme disease, as it displays no significant side effects when consumed up to 200 mg/L. Conversely, current antimicrobial protein-based drugs may induce side effects at their minimum inhibitory concentration. Methods: To determine whether DIM displays antimicrobial properties and could therefore be an inexpensive and ergonomic treatment, its effect on membrane-enclosed vesicles will be compared with polymyxin B, which is known to inhibit membrane structural integrity. This will be analyzed by filling vesicles with red aniline dye, then establishing three groups with different treatments. The test, positive control, and negative control groups will be treated with DIM, polymyxin B, and no treatment respectively. The resulting absorbencies of the test, positive control, and negative control groups will be compared. Results: The test group could show significant absorbance differences when compared to the positive and negative control groups, or no significant absorbance differences when compared to these groups. Positive and negative control groups should be compared with each other to ensure the groups display substantial and negligible dye release respectively. Discussion: If the test group shows a significant absorbance difference from the negative or both positive and negative control groups, it can be concluded that DIM displays significant antimicrobial properties. Because the results illustrate DIM is as effective or more effective than polymyxin B at inhibiting B. burgdorferi cell membranes, DIM will be an effective treatment for Lyme disease. These results are only reliable if the standard deviations of each group do not overlap, and the positive control group has a significantly higher absorbance than the negative control group. Conclusion: If the results suggest DIM displays strong enough antimicrobial properties to treat Lyme disease, its structure should be modified to improve integration into the bloodstream and gastrointestinal tract.

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)0.003
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0170.010

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 head0.094
GPT teacher head0.440
Teacher spread0.346 · 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 designBench or experimental
Domainnot available
GenreProtocol

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
Published2022
Admission routes2
Has abstractyes

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