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Dairy milk microRNAs resist in vitro digestion in a gastro‐intestinal tract model

2016· article· en· W2560118594 on OpenAlexafffundabout
Abderrahim Benmoussa, Benoit Laffont, Patrice Savard, Éric Boilard, Caroline Gilbert, Ismaı̈l Fliss, Patrick Provost

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsUniversité Laval
FundersInstitute of GeneticsCanadian Institutes of Health Research
KeywordsDigestion (alchemy)Digestive tractGastro-ResistGastrointestinal tractIn vitroChemistryFood scienceMedicineRefluxInternal medicineBiochemistryChromatographyDisease

Abstract

fetched live from OpenAlex

MicroRNAs are small, gene regulatory non‐coding RNA species that are present in large amounts in milk where they seem to be protected against degradative conditions, presumably because of their association with exosomes. We monitored the relative stability of commercial dairy milk microRNAs, under the gastrointestinal (GI) tract conditions that prevails during digestion, and examined their association with extracellular vesicles (EVs). To do so, we used a computer‐controlled TNO in vitro GI model (TIM‐1) and analyzed, by quantitative PCR (qPCR), the level of two milk microRNAs within all GI tract compartments at different time points. MicroRNA‐containing EVs within digested and non‐digested samples were studied by immunoblotting, dynamic light scattering, qPCR and density measurements. We observed that an important proportion of dairy milk bta‐miR‐223 and bta‐miR‐125b withstand digestion under simulated GI tract conditions, with the stomach causing the greater loss in microRNAs. A significant amount of these two microRNAs (~10 8 –10 9 copies/300 ml milk) was detected in the upper small intestine compartments, which supports their bioavailability. A protocol optimized for the enrichment of dairy milk exosomes yielded a 100,000 g pellet fraction positive for the exosomal marker Tumor susceptibility gene‐101 (TSG‐101) and containing bta‐miR‐223 and bta‐miR‐125b. This approach, based on successive ultracentrifugation steps, also revealed the existence of TSG‐101 negative EVs that are larger than exosomes and more enriched in bta‐miR‐223 and bta‐miR‐125b. Our findings indicate that commercial dairy milk contains numerous microRNAs that can resist digestion and are associated mostly with non‐exosomal EVs. Our results strengthen the idea that milk microRNAs are bioactive compounds in dairy milk, support the existence of interspecies transfer of microRNAs based on milk consumption, and challenge our current view of exosomes as the sole carriers of milk‐derived microRNAs. Support or Funding Information This work was supported by Grants No. 319618 and 327522 from the Canadian Institutes of Health Research (CIHR), through the Institute of Genetics (to P.P.).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.012
GPT teacher head0.242
Teacher spread0.230 · 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 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".

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Citations0
Published2016
Admission routes3
Has abstractyes

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