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Concurrent left ventricular pressure-loading improves right ventricular function, remodeling, and molecular signaling in response to pulmonary artery banding

2023· article· en· W4388597836 on OpenAlexafffund
Xavier Lee, Sonja Raschzok, J. Desjardins, Omar Kanny, Golam Kabir, Linda Nghiem, András Kapùs, Kim A. Connelly, Mark K. Friedberg

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsSt. Michael's HospitalCanadian Heart Research CentreUniversity of Toronto
FundersHeart and Stroke Foundation of Canada
KeywordsMedicinePressure overloadInternal medicineCardiologyAfterloadVentricleVentricular remodelingPulmonary arteryVentricular pressureHemodynamicsDiastolePulmonary hypertensionCardiac function curvePulmonary artery bandingAortaSystoleHeart failureBlood pressure

Abstract

fetched live from OpenAlex

Abstract Background Studies have established the significance of right ventricle (RV) function in individuals with many congenital heart diseases, however the impact of pressure overload (PO) on the RV, concomitant with changes in LV pressure, has yet to be fully understood. We have previously demonstrated that pulmonary artery banding (PAB) with simultaneous LVPO improved systolic function in both ventricles and reduced myocyte hypertrophy and collagen content compared to PAB alone1. These findings suggested that increasing LV afterload attenuated maladaptive RV remodeling and molecular signaling. Purpose We investigated whether the degree of LV afterload beneficially impacts RV function, remodeling, and molecular signaling pathways. Methods We established a model of double-banding (DB) in male Sprague-Dawley rats (n = 17) where the PA and transverse aorta were constricted with 16-gauge and 14-gauge needles, respectively. At 6-weeks post-surgery, Doppler-echocardiography was used to measure the flow velocity across the aortic constriction to divide the DB rats into moderate (DBMOD) and mild (DBMILD) groups. PAB-only (n=9) and Sham (n=9) groups were used as controls. All animals underwent echocardiography and cardiac catheterization 6-weeks post-surgery to assess RV/LV structure and hemodynamic function. Heart tissue was collected for Picrosirius red (PSR) staining to assess RV collagen content. Immunoblotting and RT-qPCR were used to quantify protein and transcripts of fibrosis and mechanotransduction pathways. Results Echocardiography identified increases in RV end-diastolic and end-systolic areas alongside a decrease in tricuspid annular plane systolic excursion (TAPSE) in PAB rats compared to shams. These changes were abrogated in DBMOD rats and to a lesser extent in DBMILD rats (p<0.001). Hemodynamic analyses identified significantly increased dP/dtmax/min, and end-systolic pressure-volume relationship in the PAB group, each of which returned to near-Sham levels in the DBMOD group (p<0.0001). PSR-staining revealed a significant decrease of RV fibrosis in the DBMOD group compared to PAB rats (p<0.05). Immunoblotting in RV tissue revealed increases in myocardin-related transcription factor A, and YAP/TAZ in PAB rats; protein expression returned to near-sham levels in the DBMOD group (p<0.05) with an intermediate expression in the DBMILD group (p<0.05). RT-qPCR of RV tissue revealed significantly increased collagen 1&3, TGFβ1, and CTGF transcripts which returned to baseline in the DBMOD group (p<0.05). Conclusion Our results indicate that the degree of LV pressure provides a beneficial impact on RV function, remodeling, and both Hippo and profibrotic signaling during RV PO. Our study demonstrates the importance of ventricular interdependence from a physiological and molecular level and suggests that modulating LV pressures during diseases that impact the RV (such as pulmonary hypertension) offer a potentially attractive therapeutic route.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.029
GPT teacher head0.294
Teacher spread0.265 · 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
Published2023
Admission routes2
Has abstractyes

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