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Record W3007058238 · doi:10.1093/jcag/gwz047.119

A120 INFLUENCE OF THE MICROBIOTA ON THE POSTNATAL DEVELOPMENT OF THE ENTERIC NERVOUS SYSTEM IS DEPENDENT ON MOUSE STRAIN

2020· article· en· W3007058238 on OpenAlexaff
Jinfeng Huang, Jelena Popov, Filip Marković, Elyanne M. Ratcliffe

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2020
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsWestern UniversityMcMaster University
Fundersnot available
KeywordsEnteric nervous systemMyenteric plexusBiologySpecific-pathogen-freeImmunolabelingImmunohistochemistryFetusPathologyAndrologyAnatomyEndocrinologyImmunologyMedicineGenetics

Abstract

fetched live from OpenAlex

Abstract Background Gastrointestinal function depends on the normal formation of the enteric nervous system (ENS) during fetal and postnatal development. Prior research in an outbred strain of mice (NIH Swiss) has shown that the absence of the gut microbiome in germ-free (GF) mice results in morphological and functional abnormalities of the ENS compared to specific pathogen free (SPF) mice, including an alteration in proportion of nitrergic neurons. Increasing research has been suggesting that the genetic background of the host can impact the host response to the GF state. Aims We tested the hypothesis that the absence of the microbiome in an inbred mouse strain (C57BL/6) could influence the development of the ENS during early postnatal life. Methods C57BL/6 GF and SPF mice were sacrificed at postnatal day 3 (P3) and P28 (n=4–5 per group). Ileum and colon were collected at P3 and P28 and processed for whole mount preparations. The neuronal network in the myenteric plexus was visualized by immunohistochemistry using antibodies against the pan-neuronal marker PGP9.5. Neuronal cell bodies and nitrergic neurons were identified by immunolabeling with antibodies to the neuronal marker HuC/D and to neuronal nitric oxide (nNOS). Nerve fibre density was quantified by measuring the percentage of PGP9.5-positive pixels (μm2) compared to the whole field using an image analysis program (Volocity; reported as %). Proportions of nitrergic to myenteric neurons were determined by manually counting (blinded) the number of nNOS-positive neurons and dividing by the total number of HuC/D-positive cells per field (reported as %). Results We found a significant increase in nerve density at P3 in the GF compared to SPF mice in both ileum (43% vs. 37%; p=0.03) and colon (45% vs. 39%; p=0.03). No significant differences, however, were identified between GF and SPF mice at P28 in either ileum (27% vs. 25%; n.s.) or colon (31% vs. 32%; n.s.). At P3, no significant differences in proportion of nitrergic neurons were seen in the GF compared to SPF ileum (27% vs. 27%; n.s.). Conclusions In contrast to earlier observations in the NIH Swiss mice, in which GF mice had decreased nerve density and an increase in nitrergic neurons at P3, our findings reveal an opposite response in nerve density in the C57BL/6 mice and no change in nitrergic neurons. These results suggest that the genetic strain of the mouse model can influence the host response to changes in the microbiome. Further studies are needed to further elucidate potential underlying mechanisms. Funding Agencies NSERC

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)0.001
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.011
GPT teacher head0.216
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

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
Published2020
Admission routes1
Has abstractyes

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