Evidence map›Paper›PMID 31133884›Full record

ArticleFrontiers in physiology2019

Influence of a Hyperglycemic Microenvironment on a Diabetic Versus Healthy Rat Vascular Endothelium Reveals Distinguishable Mechanistic and Phenotypic Responses.

Dhanush Haspula, Andrew K Vallejos, Timothy M Moore, Namrata Tomar, Ranjan K Dash, Brian R Hoffmann

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
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

17 citing papers in PubMed, 28 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Dhanush HaspulaDepartment of Biomedical Engineering, Medical College of Wisconsin, Marquette University, Milwaukee, WI, United States.
Andrew K VallejosDepartment of Biomedical Engineering, Medical College of Wisconsin, Marquette University, Milwaukee, WI, United States.
Timothy M MooreDepartment of Biomedical Engineering, Medical College of Wisconsin, Marquette University, Milwaukee, WI, United States.
Namrata TomarDepartment of Biomedical Engineering, Medical College of Wisconsin, Marquette University, Milwaukee, WI, United States.
Ranjan K DashDepartment of Biomedical Engineering, Medical College of Wisconsin, Marquette University, Milwaukee, WI, United States.
Brian R HoffmannDepartment of Biomedical Engineering, Medical College of Wisconsin, Marquette University, Milwaukee, WI, United States.
Medical College of Wisconsin · USMarquette University · US

Funding

Stem Cell CoreP01GM066730 · NIGMS · MEDICAL COLLEGE OF WISCONSIN · PI LIANG, MINGYU · 2003 to 2019
$23.6M
Evaluation of Endothelial Hyperglycemia-Driven Alterations During Type 2 DiabetesK01DK105043 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI HOFFMANN, BRIAN ROBERT · 2015 to 2018
$407k
NIDDK NIH HHS K01 DK105043NIGMS NIH HHS P01 GM066730
6 · The paper itself

Abstract

Hyperglycemia is a critical factor in the development of endothelial dysfunction in type 2 diabetes mellitus (T2DM). Whether hyperglycemic states result in a disruption of similar molecular mechanisms in endothelial cells under both diabetic and non-diabetic states, remains largely unknown. This study aimed to address this gap in knowledge through molecular and functional characterization of primary rat cardiac microvascular endothelial cells (RCMVECs) derived from the T2DM Goto-Kakizaki (GK) rat model in comparison to control Wistar-Kyoto (WKY) in response to a normal (NG) and hyperglycemic (HG) microenvironment. GK and WKY RCMVECs were cultured under NG (4.5 mM) and HG (25 mM) conditions for 3 weeks, followed by tandem mass spectrometry (MS/MS), qPCR, tube formation assay, microplate based fluorimetry, and mitochondrial respiration analyses. Following database matching and filtering (false discovery rate ≤ 5%, scan count ≥ 10), we identified a greater percentage of significantly altered proteins in GK (7.1%, HG versus NG), when compared to WKY (3.5%, HG versus NG) RCMVECs. Further stringent filters (log2ratio of > 2 or < -2,

Indexed as

cardiovascular diseasediabetesendotheliumhyperglycemiamitochondrial functionoxidative stress

Identifiers

PMID31133884
PMCPMC6524400
OpenAlexW2944241659

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.