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Record W6909201690 · doi:10.34945/f5cp4d

Probiotic treatment in female Lewis rats following unilateral incomplete cervical (C5) contusion injury: Microbiome report

2023· dataset· en· W6909201690 on OpenAlexaff

Bibliographic record

VenueUC San Diego · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsProbioticLactobacillusBifidobacteriumLactobacillus acidophilusLactobacillus paracaseiGastrointestinal tractGut flora

Abstract

fetched live from OpenAlex

STUDY PURPOSE: The bidirectional communication between the gastrointestinal tract and the central nervous system appears to be linked to the intestinal microbiome. Research has shown that spinal cord injury (SCI) can disrupt the gut microbiome, leading to gut dysbiosis. These changes can have several negative impacts, such as exacerbated systemic inflammation and susceptibility to infection. Probiotics administered to mice with SCI have been shown to ameliorate gut dysbiosis, confer neuroprotection, and improve locomotor recovery. However, probiotics have also produced conflicting results, making potential claims regarding the application of probiotics as a therapeutic supplement ambiguous. This study aimed to investigate the effects of a commercially available probiotic on recovery in a rat model of cervical SCI. DATA COLLECTED: Female Lewis rats (12 weeks and 180-220 g) received a C4-C5 laminectomy to expose the spinal cord. Using an Infinite Horizon impactor a 125 kdyn unilateral contusion was performed targeting the right side of the spinal C5 level (1.25 mm right of midline, 25 mm drop height at a 15-degree angle). Probiotic treatment was initiated immediately after SCI using VSL#3 containing 450 billion colony-forming units (CFU) of lyophilized bacteria/g, including eight different strains (Bifidobacterium breve, Bifidobacterium infantis, Bifidobacterium longum, Lactobacillus acidophilus, Lactobacillus bulgaricus, Lactobacillus casei, Lactobacillus planatarum, and Streptococcus salivarus subspecies thermophilus). VSL#3 was administered daily via oral gavage for 7 days postinjury (DPI) at a dose of 5 billion CFU. Control group was gavaged with 0.5 ml of sterile filtered water. After 7 DPI, the 5 billion CFU of VSL#3 doses were adjusted to ensure equivalent consumption and administered ad libitum in drinking water for a total of 35 DPI. The overall gut microbiome was assessed prior to injury (baseline) and at 3, 7, 14, and 35 DPI by collecting fresh fecal matter from the rats during their dark cycle and submitted for 16S rRNA analysis. Dataset for Probiotic treatment for acute spinal cord injury: behavioural, histological and systemic cytokine profiles of female Lewis rats is in OSC-SCI#687 DATA USAGE NOTES:

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: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.036
GPT teacher head0.312
Teacher spread0.276 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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