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Record W4282823244 · doi:10.1093/cdn/nzac069.008

Maternal Administration Of Probiotic Lactobacilli Since Pre-Conception Programs Offspring Gut Microbiota Functions

2022· article· en· W4282823244 on OpenAlexaff
Céline Cuinat, Amel Taïbi, Julien Tremblay, Giorgio Gargari, Simone Guglielmetti, Thomas A. Tompkins, Elena M. Comelli

Bibliographic record

VenueCurrent Developments in Nutrition · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsNational Research Council CanadaUniversity of Toronto
Fundersnot available
KeywordsOffspringBiologyProbioticLactobacillus rhamnosusGut floraLactobacillusWeaningMicrobiologyBacteriaGeneticsEndocrinologyImmunologyPregnancy

Abstract

fetched live from OpenAlex

Probiotics intake may be considered beneficial by prospective and pregnant mothers but their effects on offspring development are underexplored. The maternal gut microbiota is a determinant of early offspring gut microbial colonization patterns and pre-conception may be a critical period. Our aim was to assess the programming effects of a probiotic Lacticaseibacillus rhamnosus R0011 and Lactobacillus helveticus R0052 mixture, which is known to support intestinal homeostasis in infancy, on the temporal dynamics of offspring gut microbiota functions. Female C57BL/6 specific pathogen free mice received sterile or probiotic-supplemented water starting one week before mating and until weaning (postnatal day, PND, 21). Offspring remained on their respective mother's treatment from PND 21 to 36. Offspring cecal microbiota was profiled at PND 14, 21, and 36 by 16S rRNA (V3-V4) gene amplicon sequencing and metabolic pathways were inferred with PICRUSt2 and the MetaCyc database. Data analysis and clustering were conducted with DESeq2-Wald test and hclust in R. 355 MetaCyc pathways were predicted and collapsed into 48 functional classes; 10 of these accounted for more than 80% of the total pathway relative abundance, including various biosynthetic as well as carbohydrate and protein degradation pathways. With time, 113 and 55 pathways were altered (q-values < 0.01) in the control and probiotic groups, respectively, but only control samples clustered by age. At PND 14 and 21,195 and 39 pathways were differentially represented in the probiotic group vs. controls, but none at PND 36. Age-dependent pathways altered by probiotic supplementation belonged to biosynthesis (Amino Acid, Nucleoside and Nucleotide, Cofactor, Electron Carrier, and Vitamin) and degradation (Carbohydrate, Nucleoside and Nucleotide, Secondary Metabolite Degradation, C1 Compound Utilization and Assimilation) functional classes. Maternal probiotic supplementation accelerates the establishment of gut microbiota metabolic functions necessary to process host diet as well as for the synthesis of metabolites relevant for host health in the juvenile offspring. NSERC; Lallemand Health Solutions; Lawson Family Chair in Microbiome Research.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score0.649

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 integrity0.0000.000
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 head0.020
GPT teacher head0.282
Teacher spread0.262 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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 routes1
Has abstractyes

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