Daily consumption of Lactobacillus gasseri CP2305 improves quality of sleep in adults – A systematic literature review and meta-analysis
Bibliographic record
Abstract
BACKGROUND & AIM: The gut-brain axis is one of the proposed interactions between the brain and peripheral intestinal functions; of particular interest is the influence of food components on the gut-brain axis mediated via the gut microbiome. Probiotics and paraprobiotics have been proposed to interact with the intestinal environment and provide health benefits such as improving sleep quality. The aim of this research was to undertake a systematic literature review and meta-analysis to evaluate the current evidence regarding the effects of Lactobacillus gasseri CP2305 on sleep quality for the general population. METHODS: A systematic literature search was conducted of peer-reviewed articles published up to 04 November 2022. Randomised controlled trials were identified that investigated the effects of Lactobacillus gasseri CP2305 on sleep parameters in adults. Meta-analysis of the change in the Pittsburgh Sleep Quality Index (PSQI) global score was conducted. Quality assessments of individual studies were conducted using the Cochrane Risk of Bias and Health Canada tools. RESULTS: Seven studies were included in the systematic literature review; six studies included data for meta-analysis to quantify the effect of L. gasseri CP2305 on sleep quality. The ingestion of L. gasseri CP2305 resulted in significant improvement in the PSQI global score compared to control (-0.77, 95% CI: -1.37 to -0.16, P = 0.01). In the two studies that included electroencephalogram (EEG) data, output was significantly improved for at least half of the measured EEG outcomes after consumption of L. gasseri CP2305. No serious concerns were found in the potential biases of included studies, indirectness of the included evidence, and other methodological issues. CONCLUSION: The present systematic review and meta-analysis indicates significant improvement in sleep quality of adults with mild to moderate stress as an effect of daily consumption of L. gasseri CP2305. Based on existing evidence, the relationship between L. gasseri CP2305 and enhanced sleep quality is plausible, however further investigations are required to confirm the mechanisms of actions for this effect.
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.033 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".