Therapeutic Value of <i>Lactobacillus gasseri</i> 345A in Chronic Constipation
Bibliographic record
Abstract
BACKGROUND: Chronic constipation is a prevalent, burdensome gastrointestinal disorder whose etiology and pathophysiology remain poorly understood. Differences in the composition of the intestinal microbiota have been shown between constipated patients and healthy people. Data indicate that these microbial differences contribute to the disorder. METHODS: Preclinical studies in mice examined the effects of Lactobacillus gasseri on intestinal motility ex vivo, the reversal of motility inhibition by μ-opioid receptor agonists ex vivo and in vivo in mice, and the effects on capsaicin-stimulated transient receptor potential vanilloid 1 (TRPV1) in Jurkat cells. Thereafter, a clinical study of 40 women with functional constipation was conducted to investigate the effects of Lactobacillus gasseri with a randomized parallel design. After 14 days of baseline recording, treatment with Lactobacillus gasseri or placebo was given over 28 days, with 14 days of follow-up. Outcomes with complete spontaneous bowel movements (CSBM), spontaneous bowel movements, emptying frequency, abdominal pain, time spent for defecation, Bristol stool form scale, use of rescue laxatives, and impact on sex life were investigated. KEY RESULTS: In preclinical studies, Lactobacillus gasseri increased intestinal motility in an ex vivo model, reversed the motility inhibition caused by μ-opioid receptor agonist ex vivo and in vivo in mice, and counteracted capsaicin-stimulated activity of TRPV1 in Jurkat cells. In the clinical trial, Lactobacillus gasseri showed a significant reduction in abdominal pain, along with a correlation and tendency for an increased number of CSBM. Few adverse events were encountered. CONCLUSIONS AND INFERENCES: Treatment with Lactobacillus gasseri can alleviate pain sensations in functional constipation, possibly with an improved bowel-emptying function.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".