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Abstract 15203: Single Cell Transcriptional Analysis Implicates <i>Acta2</i> Positive Pericytes in Arterial Muscularization and Imbalance in Bmp and Angpt Signaling During Development of Pulmonary Arterial Hypertension

2022· article· en· W4380867888 on OpenAlexaff
Nicholas D Cober, Emma R. McCourt, Rafael Soares Godoy, Yupu Deng, Ken Schlosser, David P. Cook, Liyuan Wang, Duncan J. Stewart

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsOttawa Public Health
Fundersnot available
KeywordsMedicineDownregulation and upregulationPericyteBMPR2ArteriogenesisPulmonary hypertensionNogginMatricellular proteinCancer researchPathologyInternal medicineEndocrinologyAngiogenesisCell biologyEndothelial stem cellBiologyExtracellular matrixBone morphogenetic protein

Abstract

fetched live from OpenAlex

Introduction: Pulmonary arterial hypertension (PAH) is a lethal disease characterized by marked vascular remodeling, inflammation and increased pulmonary vascular resistance. Pericytes normally play a key role in maintaining microvascular homeostasis; however, they can also contribute to increased muscularization of distal arterioles in PAH by giving rise to smooth cells (SMCs). Methods: Sprague-Dawley rats were injected with 20mg/kg SU subcutaneously and exposed to 3 weeks of chronic hypoxia (CH, 10% O2). Right ventricular systolic pressure (RVSP) was measured at baseline, 1, 3, 5, and 8-weeks, then lungs were explanted, digested, and dissociated into single cells which were sequenced using the 10x genomics platform. Results: RVSP was significantly elevated at 1 week after SU (47mmHg) reaching a plateau of >100 mmHg by 5 weeks. Dimensionality reduction of the scRNAseq data was performed using Uniform Manifold Approximation and Projection (UMAP) analysis resulting in 24 lung clusters and sub-clustering of stomal populations yielded seven clusters. In addition to fibroblasts, SMC/myofibroblasts and mesothelial cells, we identified 2 distinct pericyte clusters both expressing canonical pericyte markers such as Pdgfrb and Csgp4 ( Ng2 ) and differentiated by presence or absence of Acta2 . Acta2 + pericytes exhibited high expression of contractile markers (i.e., Myh11 and Tagln ), consistent with partial SMC differentiation, and underwent a substantial (>3-fold) expansion during PAH development. The Acta2 + pericytes also exhibited profound downregulation in the endothelial protective gene, Bmpr2 , with a reciprocal upregulation of Rbpms2 , a gene which inhibits BMP signaling. Similarly, reciprocal reduction in Angpt1 , an agonist of the endothelial Tie2 receptor and an increase in expression the partial Tie2 antagonist, Angpt2 , thereby favoring EC activation and inflammation. Conclusion: These results suggest expansion of Acta2 + pericytes in PAH may contribute to distal arteriolar muscularization as well as an imbalance in BMP/TGFß and ANGPT1/2 signaling, promoting EC apoptosis, activation, and inflammation in the SU/CH model.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.018
GPT teacher head0.233
Teacher spread0.215 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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