Evidence map›Paper›PMID 31819413›Full record

ArticleInternational journal of nanomedicine2019

Variable Effects Of LDL Subclasses Of Cholesterol On Endothelial Nitric Oxide/Peroxynitrite Balance - The Risks And Clinical Implications For Cardiovascular Disease.

Jiangzhou Hua, Tadeusz Malinski

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 20 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

2 authors at 1 institution in 1 country.

Jiangzhou HuaNanomedical Research Laboratory, Ohio University, Athens, OH, USA.ORCID 0000-0003-1338-2207
Tadeusz MalinskiNanomedical Research Laboratory, Ohio University, Athens, OH, USA.ORCID 0000-0002-8298-9064
Ohio University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElevated levels of low density lipoprotein (LDL), "bad cholesterol", is not an accurate indicator of coronary disease. About 75% of patients with heart attacks have cholesterol levels that do not indicate a high risk for a cardiovascular event. LDL is comprised of three subclasses, with particles of different size and density. We used nanomedical systems to elucidate the noxious effects of LDL subclasses on endothelium. EXPERIMENTAL: Nanosensors were employed to measure the concentrations of nitric oxide (NO) and peroxynitrite (ONOO

resultsIn HUVECs, the (NO)/(ONOO

conclusionSubclass B of "bad cholesterol" is the most damaging to endothelial function and can contribute to the development of atherosclerosis. Contrary to the current national guidelines, this study suggests that it's not the total LDL, rather it is the concentration of subclass B in relation to subclasses A and/or I, that should be used for diagnosis of atherosclerosis and the risk of heart attack. By utilizing specific pharmacological therapy to address the concentration of subclass B, there is a potential to significantly reduce the risk of heart attack and atherosclerosis.

Indexed as

Cardiovascular DiseasesCell AdhesionCholesterolFemaleHumansHuman Umbilical Vein Endothelial CellsLipoproteins, LDLMaleMiddle AgedMonocytesNitric OxideNitric Oxide Synthase Type IIIPeroxynitrous AcidTHP-1 CellsCholesterolLipoproteins, LDLNitric OxideNitric Oxide Synthase Type IIIoxidized low density lipoproteinPeroxynitrous Acidcell adhesionendotheliumlow density lipoproteinnitric oxideperoxynitrite

Identifiers

PMID31819413
PMCPMC6874513
OpenAlexW2984026002

What OpenQuestion holds

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LicenceCC BY-NC
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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.