Evidence map›Paper›PMID 41889921›Full record

ArticlebioRxiv : the preprint server for biology2026

Chronic therapy with α1A-adrenergic agonist reverses RV failure and mitochondrial dysfunction.

O Y Li, P M Swigart, N Reddy, B E Myagmar, E Bat-Erdene, P C Simpson, A J Baker

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

O Y LiVeterans Affairs Medical Center, San Francisco, and Department of Medicine, Univ. Calif. San Francisco, San Francisco.
P M SwigartVeterans Affairs Medical Center, San Francisco, and Department of Medicine, Univ. Calif. San Francisco, San Francisco.
N ReddyVeterans Affairs Medical Center, San Francisco, and Department of Medicine, Univ. Calif. San Francisco, San Francisco.
B E MyagmarVeterans Affairs Medical Center, San Francisco, and Department of Medicine, Univ. Calif. San Francisco, San Francisco.
E Bat-ErdeneVeterans Affairs Medical Center, San Francisco, and Department of Medicine, Univ. Calif. San Francisco, San Francisco.
P C SimpsonVeterans Affairs Medical Center, San Francisco, and Department of Medicine, Univ. Calif. San Francisco, San Francisco.ORCID 0000-0003-2234-8633
A J BakerVeterans Affairs Medical Center, San Francisco, and Department of Medicine, Univ. Calif. San Francisco, San Francisco.ORCID 0000-0001-6211-4108

Funding

Multiscale Mechanobiology of Right Ventricular FailureR01HL154624 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Anthony J. BAKER, DANIEL A BEARD · 2020 to 2026
$4.9M
BLRD VA I01 BX000740BLRD VA I21 BX006858NHLBI NIH HHS R01 HL154624
6 · The paper itself

Abstract

Right ventricular failure (RVF) is a serious disease with a high mortality but no effective pharmacologic treatments. We reported RVF was reversed by chronic treatment with an α1A-adrenergic receptor (α1A-AR) agonist. Recent studies suggest mitochondrial dysfunction contributes to RVF. Therefore, we investigated if reversal of RVF by chronic α1A-AR agonist treatment involved improved mitochondrial function. A mouse model of RVF caused by pulmonary artery constriction (PAC) for 2 wk was chronically treated for a further 2 wk. with a low dose of the α1A-AR agonist A61603 (10 ng/kg/day) or vehicle (no drug control). RV dysfunction was assessed from the fractional shortening of the RV outflow tract (RVOT FS). RVOT FS for sham controls (46.5 ± 1.3 %, n = 9) was reduced 4 wk after PAC (27.6 ± 1.5 %, n = 13,

Indexed as

ATPmitochondriaRV failure (RVF)α1A-AR agonist therapy

Identifiers

PMID41889921
PMCPMC13015521

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.