MétaCan
Menu
Back to cohort

Late Gestation Exposure to PolyI:C‐Induced Maternal Immune Activation Results in Sex‐Dependent Antiviral Responses in Rat Placenta

2022· article· en· W4225397013 on OpenAlexafffund
Ruth Thomas, Cleusa De Oliveira, Nagalingam Rajakumar, Stephen J. Renaud

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsChildren’s Health Research InstituteLawson Health Research InstituteWestern University
FundersCanadian Institutes of Health Research
KeywordsGestationPlacentaImmune systemAndrologyBiologyImmunologyPregnancyPhysiologyFetusMedicineGenetics

Abstract

fetched live from OpenAlex

Introduction Viral infections are a major cause of pregnancy‐related complications and can lead to neurodevelopmental deficits in offspring. Viral infections stimulate maternal immune activation (MIA), which disrupts the delicate immune balance required for pregnancy. The placenta is a temporary organ that forms the interface between mom and baby during pregnancy and provides nutrition and protection for the developing fetus. Placental responses to MIA, and how MIA alters placental function, are not well understood. Polyinosinic:polycytidylic acid (PolyI:C), a synthetic double‐stranded RNA and viral mimetic elicits MIA in rodent models. PolyI:C‐induced MIA is sufficient to cause neurobehavioural consequences in offspring, with male offspring typically exhibiting more severe outcomes than female offspring. Objective The aim of this project was to elucidate how MIA affects the immunological profiles of the nascent male and female placenta and brain from a late prenatal PolyI:C stimulation. Hypothesis We hypothesize that injection of PolyI:C into pregnant rats at late gestation will induce antiviral responses in the placenta and fetal brain, and these responses will differ between male and female fetuses. Methods To test this hypothesis , pregnant Sprague‐Dawley rats were injected intravenously with 4 mg/kg PolyI:C (N = 5) or saline (N = 4) on GD18.5. Five hours after injection, placentas and fetal brains were collected. Quantitative RT‐PCR was used to measure expression of various genes associated with antiviral responses (e.g., Ifna , Il6 , Il1a , Il1b , Tnfa , Ido1 , Cxcl10 , Rsad2 , Cxcl11 , Ccl5 , and Tlr3 ) in the placenta. A Student’s t ‐test was used to compare differences between two means, and a two‐way analysis of variance, followed by Sidak’s post‐hoc analysis was used to compare differences between treatments and sexes. Means were considered statistically significant when P ≤ 0.05. Results PolyI:C‐treated male placentas (n = 9) showed significantly higher levels of Rsad2 (2.4‐fold), Ifna (2.8‐fold), Mx1 (9.4‐fold), and Cxcl10 (23.3‐fold) compared to saline‐treated male placentas (n = 8; P ≤ 0.05). PolyI:C‐treated female placentas (n = 10) showed a significant upregulation of Cxcl10 (25.4‐fold) and Mx1 (11.4‐fold), as well as of Cxcl11 (19.8‐fold) and Tnfa (2.3‐fold) compared to saline‐treated female placentas (n = 8; P ≤ 0.05). Among PolyI:C‐treated samples, male placentas showed significantly increased expression of Ifna when compared to female placentas (2.8‐fold, P ≤ 0.05). Conclusion Our results show that PolyI:C‐induced MIA at late gestation stimulates a robust antiviral response in the placenta, including higher levels of Ifna in male placentas than female placentas. Significance Future work will characterize PolyI:C‐induced antiviral and sex‐dependent responses in fetal brains. Overall, this research will provide further insight into MIA‐induced susceptibility to pregnancy complications and neurodevelopmental outcomes.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.258
Teacher spread0.237 · 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
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicReproductive System and PregnancyFrench-language works237,207