Evidence map›Paper›PMID 25614985›Full record

ArticlePloS one2015

Low serum high density lipoprotein cholesterol concentration is an independent predictor for enhanced inflammation and endothelial activation.

Wan Nor Hanis Wan Ahmad, Farah Sakri, Atiqah Mokhsin, Thuhairah Rahman, Nadzimah Mohd Nasir, Suraya Abdul-Razak, Mazapuspavina Md Yasin, Aletza Mohd Ismail, Zaliha Ismail, Hapizah Nawawi

Erratum issuedOpen access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 41 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Wan Nor Hanis Wan AhmadCentre for Pathology Diagnostic and Research Laboratories (CPDRL), UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia.
Farah SakriCentre for Pathology Diagnostic and Research Laboratories (CPDRL), UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia.
Atiqah MokhsinCentre for Pathology Diagnostic and Research Laboratories (CPDRL), UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia.
Thuhairah RahmanCentre for Pathology Diagnostic and Research Laboratories (CPDRL), UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia; Cluster for Pathology and Laboratory Medicine, UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia.
Nadzimah Mohd NasirCentre for Pathology Diagnostic and Research Laboratories (CPDRL), UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia; Cluster for Pathology and Laboratory Medicine, UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia.
Suraya Abdul-RazakPrimary Care Medicine Discipline, UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia.
Mazapuspavina Md YasinPrimary Care Medicine Discipline, UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia.
Aletza Mohd IsmailCentre for Pathology Diagnostic and Research Laboratories (CPDRL), UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia; Cluster for Pathology and Laboratory Medicine, UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia.
Zaliha IsmailDiscipline of Population Health and Preventive Medicine, Faculty of Medicine, UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia.
Hapizah NawawiCentre for Pathology Diagnostic and Research Laboratories (CPDRL), UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia; Cluster for Pathology and Laboratory Medicine, UniversitiTeknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Selangor, Malaysia.
Hospital Sungai Buloh · MYUniversiti Teknologi MARA · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammation, endothelial activation and oxidative stress have been established as key events in the initiation and progression of atherosclerosis. High-density lipoprotein cholesterol (HDL-c) is protective against atherosclerosis and coronary heart disease, but its association with inflammation, endothelial activation and oxidative stress is not well established.

objectives(1) To compare the concentrations of biomarkers of inflammation, endothelial activation and oxidative stress in subjects with low HDL-c compared to normal HDL-c; (2) To examine the association and correlation between HDL-c and these biomarkers and (3) To determine whether HDL-c is an independent predictor of these biomarkers.

methods422 subjects (mean age±SD = 43.2±11.9 years) of whom 207 had low HDL-c concentrations (HDL-c <1.0 mmol/L and <1.3 mmol/L for males and females respectively) and 215 normal controls (HDL-c ≥1.0 and ≥1.3 mmol/L for males and females respectively) were recruited in this study. The groups were matched for age, gender, ethnicity, smoking status, diabetes mellitus and hypertension. Fasting blood samples were collected for analysis of biomarkers of inflammation [high-sensitivity C-reactive protein (hsCRP) and Interleukin-6 (IL-6)], endothelial activation [soluble Vascular Cell Adhesion Molecule-1 (sVCAM-1), soluble Intercellular Adhesion Molecule-1 (sICAM-1) and E-selectin)] and oxidative stress [F2-Isoprostanes, oxidized Low Density Lipoprotein (ox-LDL) and Malondialdehyde (MDA)].

resultsSubjects with low HDL-c had greater concentrations of inflammation, endothelial activation and oxidative stress biomarkers compared to controls. There were negative correlations between HDL-c concentration and biomarkers of inflammation (IL-6, p = 0.02), endothelial activation (sVCAM-1 and E-selectin, p = 0.029 and 0.002, respectively), and oxidative stress (MDA and F2-isoprostane, p = 0.036 and <0.0001, respectively). Multiple linear regression analysis showed HDL-c as an independent predictor of IL-6 (p = 0.02) and sVCAM-1 (p<0.03) after correcting for various confounding factors.

conclusionLow serum HDL-c concentration is strongly correlated with enhanced status of inflammation, endothelial activation and oxidative stress. It is also an independent predictor for enhanced inflammation and endothelial activation, which are pivotal in the pathogenesis of atherosclerosis and atherosclerosis-related complications.

Indexed as

Oxidative StressAdultAgedBiomarkersCholesterol, LDLC-Reactive ProteinEndothelium, VascularFemaleHumansInflammationInterleukin-6MalaysiaMaleMiddle AgedVascular Cell Adhesion Molecule-1Young AdultBiomarkersCholesterol, LDLC-Reactive ProteinIL6 protein, humanInterleukin-6Vascular Cell Adhesion Molecule-1

Identifiers

PMID25614985
PMCPMC4304817
OpenAlexW1982432491

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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.