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Record W2792510725 · doi:10.1093/jcag/gwy008.303

A302 LUMINAL SHORT-CHAIN FATTY ACIDS RESTORE MOTILITY IN GERM-FREE MICE

2018· article· en· W2792510725 on OpenAlexaff
Alexander D. Vincent, X Wang, J D Huizinga

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMotilityButyrateContraction (grammar)Short-chain fatty acidInterstitial cell of CajalPeristalsisPropionateBiologyLumen (anatomy)Internal medicineEndocrinologyChemistryAndrologyBiochemistryMedicineCell biologySmooth muscle

Abstract

fetched live from OpenAlex

The bidirectional relationship between colon motility and microbiota needs further study. Germ free (GF) mice are unable to ferment resistant starch into short-chain fatty acids (SCFA). Previous studies have shown that these mice have a significantly longer transit time than controls. We investigated motility patterns in isolated GF mouse colons in an attempt to elucidate the role microbiota-derived metabolites play in governing motility. The mouse colon was luminally-perfused inside an organ bath. After equilibration of 30min, a phosphate buffer (PBS) was perfused into the lumen, followed by a cocktail of SCFA (1mM butyrate & propionate, 5mM acetate) dissolved in PBS. Motility was video recorded and spatiotemporal maps were produced by plotting diameter changes along the colon over time. The outflow from the colon was connected to a pressure transducer that recorded the volume of outflow produced by each contraction. ICC were identified by immunohistochemistry using cKit antibodies. GF mice had abnormal motility patterns. GF baseline conditions were either dominated by slowly propagating contractions that did not produce outflow (Figure1B) and long distance contractions (LDCs) that were interrupted by relaxation in the mid colon. The 20 cpm ICC slow wave driven background contractions appeared normal. The GF baseline condition had a significantly higher number of contractions than the control baseline condition (P<0.001). Under the same conditions, control activity was dominated by normal propulsive LDCs. The average volume of output per contraction was significantly higher in the control baseline than the GF baseline condition (P<0.05). After adding SCFA, motor patterns from the GF mouse closely resembled that of the control, characterised by rhythmic LDCs that were not interrupted (Figure1B). The percentage of contractions that were LDCs increased significantly following SCFA administration to the GF colon (P<0.001). c-Kit staining of the ICC networks in both strains of mice showed no difference in the structural integrity of these networks. The results indicate that in the absence of SCFA, the GF colon had normal myogenic ICC directed motility but the stimulus dependent motor activity was abnormal. Our hypothesis is that distention-induced motor patterns do not develop in a typical manner when the inner mucus layer does not contain microbiota-derived metabolites, in particular SCFA. Administering SCFA provided the correct mucosal stimulation environment required to generate normal rhythmic propulsive contractions. We hypothesize that SCFA indirectly activate 5-HT release from enterochromaffin cells thereby lowering the threshold for distention-induced LDCs. The reduced transit time observed in GF mice is due to reduced ability to generate distension-induced propulsive LDCs although the neural machinery to produce LDCs is fully present. Figure1: Spatiotemporal maps of the germ free mouse colon. Above, Image A shows the germ free baseline condition and below, Image B shows the same mouse with intraluminal perfusion of SCFA. Both images are 20 minutes in length. CIHR

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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.009
GPT teacher head0.239
Teacher spread0.231 · 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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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