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Record W4410602242 · doi:10.1080/08905436.2025.2500348

<i>Lactobacillus</i> Combined with Inulin Ameliorated Memory Deficit by Modulating Gut Microbiota and Metabolic Profiles

2025· article· en· W4410602242 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFood Biotechnology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of Manitoba
FundersBeijing Municipal Natural Science Foundation
KeywordsInulinLactobacillusFood scienceGut floraMicrobiologyChemistryBiologyBiochemistryFermentation

Abstract

fetched live from OpenAlex

This study aimed to investigate the effects of a combination of Lactobacillus and inulin (LI) on memory impairment, gut microbiota composition, and metabolic profiles in APP/PS1 transgenic mice (MC). Mice treated with LI exhibited significant improvements in memory performance, along with marked reductions in Aβ plaque deposition, neuroinflammation, and oxidative stress levels. Treatment with LI significantly increased the relative abundances of unclassified_f__Lachnospiraceae, Faecalibaculum, and Blautia, while significantly reducing Candidatus_Saccharimonas. Metabolomics analysis revealed that LI treatment led to elevated levels of acetylcholine, LysoPC (17:0), and sphinganine 1-phosphate, and a significant decrease in phosphocholine level. KEGG pathway analysis indicated that glycerophospholipid and sphingolipid metabolism were likely involved. In particular, Faecalibaculum and Candidatus_Saccharimonas may improve memory by modulating glycerophospholipid and sphingolipid pathways, respectively. These findings offer novel insights into microbiota-targeted strategies for memory enhancement.

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.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.210
Teacher spread0.205 · 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