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Maternal Immune Activation Alters Placental and Fetal Brain Amino Acid Transport in Rats

2020· article· en· W3017092095 on OpenAlexaffabout
Eliza R. McColl, Micheline Piquette‐Miller

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPlacentaFetusAmino acidTransporterAmino acid transporterAMPKPI3K/AKT/mTOR pathwayEndocrinologyInternal medicineBiologyPregnancyChemistrySignal transductionBiochemistryPhosphorylationMedicineGeneProtein kinase AGenetics

Abstract

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Problem Maternal immune activation (MIA) during pregnancy is an environmental risk factor for neurodevelopmental disorders such as autism and schizophrenia. However, the exact mechanism through which this occurs is unknown. Due to the important roles that amino acids play in neurodevelopment, altered transport of amino acids across the placenta and throughout the developing fetal brain could play a role in neurodevelopmental disorders. Our objectives were to determine whether virally mediated MIA alters amino acid transporter expression in the placenta and fetal brain, and to explore the underlying mechanism(s) associated with these changes. Methods Pregnant rats received poly(I:C) on gestational day 14 and placental and fetal tissues were collected 6, 24, and 48 hours later. Amino acid transporter expression in the placenta and fetal brain was measured using qPCR and immunoblotting. Free amino acid concentrations in the fetal brain were quantified using HPLC. To explore a possible mechanism, the expression and phosphorylation of components of the placental mTOR and AMPK signaling pathways were investigated using immunoblotting. Results Poly(I:C) induced the mRNA expression of multiple amino acid transporters in the placenta and fetal brain over all three timepoints. Conversely, poly(I:C) significantly decreased protein expression of ASCT1 and EAAT2 in the placenta, and SNAT5, EAAT1, and GLYT1 in the fetal brain. Changes in transporter expression were accompanied by functional changes in the concentrations of numerous amino acids in the fetal brain. We observed activation of AMPK and inhibition of mTOR signaling in the placentas of poly(I:C)‐treated dams. Conclusions MIA induced by poly(I:C) significantly alters placental and fetal brain amino acid transporter expression as well as amino acid concentrations in the fetal brain. Due to the importance of amino acids in neurodevelopment, changes in amino acid transporters could contribute to the development of a neurodevelopmental disorder. AMPK and mTOR have been previously shown to regulate amino acid transporter expression. Since poly(I:C) altered the activation of placental and AMPK and mTOR, these could provide novel treatment targets to alleviate MIA‐induced changes in amino acid transport and investigate the implications of these changes in neurodevelopment. Support or Funding Information This work was supported by an operating grant from the Canadian Institutes of Health Research (CIHR) awarded to Dr. Piquette‐Miller [MOP 13346]. Eliza McColl was a recipient of a CIHR Canadian Graduate Scholarship (Master’s) and an Ontario Graduate Scholarship, and is currently funded by a CIHR Banting and Best Canadian Graduate Scholarship (Doctoral) [GSD‐164238].

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.222
Teacher spread0.207 · 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
Published2020
Admission routes2
Has abstractyes

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