Evidence map›Paper›PMID 27727291›Full record

ArticlePloS one2016

Early Transcriptomic Response to LDL and oxLDL in Human Vascular Smooth Muscle Cells.

Salvador Damián-Zamacona, Paola Toledo-Ibelles, Mabel Z Ibarra-Abundis, Laura Uribe-Figueroa, Enrique Hernández-Lemus, Karla Paola Macedo-Alcibia, Blanca Delgado-Coello, Jaime Mas-Oliva, Juan Pablo Reyes-Grajeda

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Omics research in atherosclerosis.Molecular and cellular biochemistry · 2025
    Review
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  12. Integrated Use ofPlants (Basel, Switzerland) · 2019
    Article
  13. Review
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  15. Article
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

9 authors.

Salvador Damián-ZamaconaInstituto de Fisiología Celular, Universidad Nacional Autónoma de México, México City, México.
Paola Toledo-IbellesInstituto de Fisiología Celular, Universidad Nacional Autónoma de México, México City, México.
Mabel Z Ibarra-AbundisInstituto Nacional de Medicina Genómica, México City, México.
Laura Uribe-FigueroaInstituto Nacional de Medicina Genómica, México City, México.
Enrique Hernández-LemusInstituto Nacional de Medicina Genómica, México City, México.
Karla Paola Macedo-AlcibiaInstituto Nacional de Medicina Genómica, México City, México.
Blanca Delgado-CoelloInstituto de Fisiología Celular, Universidad Nacional Autónoma de México, México City, México.
Jaime Mas-OlivaInstituto de Fisiología Celular, Universidad Nacional Autónoma de México, México City, México.
Juan Pablo Reyes-GrajedaInstituto Nacional de Medicina Genómica, México City, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough nowadays it is well known that the human transcriptome can importantly vary according to external or environmental condition, the reflection of this concept when studying oxidative stress and its direct relationship with gene expression profiling during the process of atherogenesis has not been thoroughly achieved.

objectiveThe ability to analyze genome-wide gene expression through transcriptomics has shown that the genome responds dynamically to diverse stimuli. Here, we describe the transcriptome of human vascular smooth muscle cells (hVSMC) stimulated by native and oxidized low-density lipoprotein (nLDL and oxLDL respectively), with the aim of assessing the early molecular changes that induce a response in this cell type resulting in a transcriptomic transformation. This expression has been demonstrated in atherosclerotic plaques in vivo and in vitro, particularly in the light of the oxidative modification hypothesis of atherosclerosis. APPROACH AND

resultsTotal RNA was isolated with TRIzol reagent (Life Technologies) and quality estimated using an Agilent 2100 bioanalyzer. The transcriptome of hVSMC under different experimental conditions (1,5 and 24 hours for nLDL and oxLDL) was obtained using the GeneChip Human Gene 1.0 ST (Affymetrix) designed to measure gene expression of 28,869 well-annotated genes. A fixed fold-change cut-off corresponding to ± 2 was used to identify genes exhibiting the most significant variation and statistical significance (P< 0.05), and 8 genes validated by qPCR using Taqman probes.

conclusions10 molecular processes were significantly affected in hVSMC: Apoptosis and cell cycle, extracellular matrix remodeling, DNA repair, cholesterol efflux, cGMP biosynthesis, endocytic mechanisms, calcium homeostasis, redox balance, membrane trafficking and finally, the immune response to inflammation. The evidence we present supporting the hypothesis for the involvement of oxidative modification of several processes and metabolic pathways in atherosclerosis is strengthen by the fact that gene expression patterns obtained when hVSMC are incubated for a long period of time in the presence of nLDL, correspond very much the same as when cells are incubated for a short period of time in the presence of chemically modified oxLDL. Our results indicate that under physiological conditions and directly related to specific environmental conditions, LDL particles most probably suffer chemical modifications that initially serve as an alert signal to overcome a harmful stimulus that with time might get transformed to a pathological pattern and therefore consolidate a pathological condition.

Indexed as

ApoptosisCalciumCell Cycle ProteinsCells, CulturedCholesterolCluster AnalysisDNA RepairEndocytosisFemaleHumansLipoproteins, LDLMuscle, Smooth, VascularOxidative StressRNATime FactorsTranscriptomeCalciumCell Cycle ProteinsCholesterolLipoproteins, LDLoxidized low density lipoproteinRNA

Identifiers

PMID27727291
PMCPMC5058556

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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.