Evidence map›Paper›PMID 37767086›Full record

ArticlebioRxiv : the preprint server for biology2023

Association of NOTCH3 with Elastic Fiber Dispersion in the Infrarenal Abdominal Aorta of Cynomolgus Monkeys.

Sohei Ito, Naofumi Amioka, Michael K Franklin, Pengjun Wang, Ching-Ling Liang, Yuriko Katsumata, Lei Cai, Ryan E Temel, Alan Daugherty, Hong S Lu and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Michael K FranklinORCID 0000-0003-4993-0164
Pengjun Wang
Lei Cai
Ryan E Temel
University of Kentucky · US

Funding

Determinants of Aorta HeterogeneityR35HL155649 · NHLBI · UNIVERSITY OF KENTUCKY · PI Alan Daugherty · 2021 to 2026
$5.3M
NHLBI NIH HHS R35 HL155649
6 · The paper itself

Abstract

Background: The regional heterogeneity of vascular components and transcriptomes is an important determinant of aortic biology. This notion has been explored in multiple mouse studies. In the present study, we examined the regional heterogeneity of aortas in non-human primates. Methods: Aortic samples were harvested from the ascending, descending, suprarenal, and infrarenal regions of young control monkeys and adult monkeys provided with high fructose for 3 years. The regional heterogeneity of aortic structure and transcriptomes was examined by histological and bulk RNA sequencing analyses. Results: Immunostaining of CD31 and αSMA revealed that endothelial and smooth muscle cells were distributed homogeneously across the aortic regions. In contrast, elastic fibers were less abundant and dispersed in the infrarenal aorta compared to other regions and associated with collagen deposition. Bulk RNA sequencing identified a distinct transcriptome related to the Notch signaling pathway in the infrarenal aorta with significantly increased Conclusions: Aortas of young cynomolgus monkeys display regional heterogeneity of their transcriptome and the structure of elastin and collagens. Elastic fibers in the infrarenal aorta are dispersed along with upregulation of medial NOTCH3. HIGHLIGHTS: - The present study determined the regional heterogeneity of aortas from cynomolgus monkeys.- Aortas of young cynomolgus monkeys displayed region-specific aortic structure and transcriptomes.- Elastic fibers were dispersed in the infrarenal aorta along with increased NOTCH3 abundance in the media. GRAPHIC ABSTRACT:

Identifiers

PMID37767086
PMCPMC10522327
OpenAlexW4323664430

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.