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Record W3194438848 · doi:10.1161/circresaha.120.318941

Protein Phosphatase 2A Activation Via ApoER2 in Trophoblasts Drives Preeclampsia in a Mouse Model of the Antiphospholipid Syndrome

2021· article· en· W3194438848 on OpenAlexafffund
Haiyan Chu, Anastasia Sacharidou, An L. Nguyen, Chun Li, Ken L. Chambliss, Jane E. Salmon, Yu-Min Shen, Julie Lo, Gustavo Leone, Joachim Herz, David Y. Hui, Denise K. Marciano, Vikki M. Abrahams, Bryony V. Natale, Alina P. Montalbano, Xue Xiao, Lin Xu, David R.C. Natale, Philip W. Shaul, Chieko Mineo

Bibliographic record

VenueCirculation Research · 2021
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsQueen's University
FundersNational Cancer InstituteNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchNational Institute on AgingEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentHartwell FoundationNational Institute of Neurological Disorders and StrokeAmerican Heart Association
KeywordsPreeclampsiaAntiphospholipid syndromePhosphataseProtein phosphatase 2ImmunologyTrophoblastPregnancyInternal medicineMedicineEndocrinologyBiologyCell biologyPlacentaAntibodyGeneticsFetusPhosphorylation

Abstract

fetched live from OpenAlex

Rationale: Preeclampsia is a potentially life-threatening, placenta-based hypertensive disorder during pregnancy, and the antiphospholipid syndrome (APS) frequently leads to preeclampsia. APS pregnancies are also complicated by fetal demise and intrauterine growth restriction. Objective: Here, we determined how the circulating antiphospholipid antibodies (aPL) characteristic of APS alter placental trophoblast function to cause preeclampsia and also endanger the fetus. Methods and Results: Experiments were performed in mice, in cultured human trophoblasts, and in human placenta samples. Effects of aPL and IgG from healthy subjects were compared. Based on prior findings in culture, in vivo studies were done in mice deficient in ApoER2 (apolipoprotein E receptor 2) in trophoblasts. End points in tissues and cells were determined by enzymatic assay, quantitative polymerase chain reaction, ELISA, or immunoblotting. Whereas in wild-type mice aPL caused maternal hypertension and proteinuria, fetal demise and intrauterine growth restriction, mice lacking trophoblast ApoER2 were protected. In culture, aPL attenuated trophoblast proliferation and migration via an ApoER2-related protein complex comprised of the PP2A (protein phosphatase 2A), Dab2 (disabled-2), and JIP4 (Jun-N-terminal kinase-interacting protein 4). Via trophoblast ApoER2 in mice and in culture, aPL-stimulated PP2A activity, leading to MMP14 (matrix metallopeptidase 14) and HIF1α (hypoxia-inducible factor 1) upregulation and increased soluble endoglin production. HIF1α and soluble endoglin upregulation was related to PP2A desphosphorylation of PHD2 (prolyl hydroxylase domain containing protein 2). In mice PP2A inhibition prevented aPL-induced maternal hypertension and proteinuria, and fetal demise and intrauterine growth restriction. Placentas from patients with APS displayed PP2A hyperactivation, PHD2 dephosphorylation and HIF1α upregulation, and these findings were generalizable to placentas of women with preeclampsia from causes other from APS. Conclusions: In APS, pregnancies trophoblasts are the critical cell target of aPL, and via ApoER2-dependent PP2A activation, aPL cause preeclampsia through MMP14 upregulation and PHD2 dephosphorylation leading to HIF1α and soluble endoglin upregulation. Moreover, parallel processes may be operative in preeclampsia in non-APS patients. Interventions targeting PP2A may provide novel means to combat APS-related preeclampsia and preeclampsia unrelated to APS.

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)0.000
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.063
GPT teacher head0.329
Teacher spread0.267 · 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

Citations23
Published2021
Admission routes2
Has abstractyes

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