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Record W4372349740 · doi:10.1111/aji.13696

Poster Presentations

2023· article· en· W4372349740 on OpenAlexafffund
Daniel Schemenauer, Dorothy Sojka, Anna Hu, Yuan You, Annie Thy Nguyen, Jiahui Ding, Anthony Maxwell, Mor Gil, Nuzhat Rahman, Firoz Mian, Charu Kaushic, Joseph A. Westrich, Erin McNulty, Audrey Sandoval, Grace Kuiper, Amy V. Nalls, Sheryl Magzamen, Candace K. Mathiason, Hilary Skalski, Madison MacLachlan, Galen Hostetter, Ronald L. Chandler, Jasmin C. Acosta, Animesh Barua

Bibliographic record

VenueAmerican Journal of Reproductive Immunology · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsMcMaster University
FundersInstitute of Infection and ImmunityUniversity of Cape TownUniversity of MelbourneSwinburne University of TechnologyMonash UniversityBurnet Institute
KeywordsMedicineComputer science

Abstract

fetched live from OpenAlex

Problem: Epidemiological studies in humans implicate maternal expression of different combinations of KIRs, which are a family of cell surface receptors that tune cellular activation status, as being predictive in pregnancy complication onset (e.g., preeclampsia) and fetal health.This receptor family is expressed in both innate and adaptive immune cell populations, including the most abundant cell types found in the pregnant uterus.Due to limitations in studying human samples, a mouse model was generated in which the functionally homologous receptor family, Ly49s, has been globally deleted.The deletion of this gene complex leads to impaired vasculature formation and remodeling in mid-pregnancy, ultimately driving pregnancy defects, mirroring the correlations seen in the human population.However, the problem is that the mechanisms by which the lack of Ly49 receptors change immune cell function and leads to deleterious pregnancy outcomes remains unknown. Method of Study:To investigate the contributions of Ly49 receptors in pregnancy associated angiogenesis, we mated wildtype (WT) and Ly49-/-dams with WT sires and analyzed the implantation sites at gestational day 9.5.We performed a proteomic screen for expression of proteins known to be involved in angiogenesis, followed by verification via flow cytometry and western blot.Additionally, cultured WT and Ly49-/-uterine single cell suspensions were analyzed by flow cytometry and conditioned media was utilized an in-vitro angiogenesis assay using a murine endothelial cell line, SVEC4-10, on a Geltrex extracellular matrix bed.Endothelial tube formation was imaged by light microscopy and quantified using ImageJ.Results: Ly49-/-dams at gestational day 9.5 display a skewed expression of angiogenesis related proteins, as compared to WT dams, with several proteins having significantly decreased abundance.VEGF expression in particular is 2-3-fold lower in Ly49-/-implantation sites, with this decrease coming from a non-immune cell population.Cultured Ly49-/-uterine cells display an increased production of pro-inflammatory cytokines compared to WT, including TNFa and IFNg, whose cellular source is from a monocyte/macrophage lineage.Conditioned media from Ly49-/-uterine cells leads to a significant anti-angiogenic effect, with a substantial decrease in endothelial tube branching and pronounced morphological changes. Conclusion:Together, these data indicate that loss of Ly49 receptors is leading to dysregulated immune cell function and production of

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.014
GPT teacher head0.278
Teacher spread0.264 · 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 teacher head, not a consensus.

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

Citations1
Published2023
Admission routes2
Has abstractyes

Explore more

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