Evidence map›Paper›PMID 30617313›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2019

Functional pathways associated with human carotid atheroma: a proteomics analysis.

Ali Nehme, Firas Kobeissy, Jingfu Zhao, Rui Zhu, Patrick Feugier, Yehia Mechref, Kazem Zibara

Abstract read
PubMed Publisher
In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 46% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Proteomic Studies of Blood and Vascular Wall in Atherosclerosis.International journal of molecular sciences · 2021
    Review
  11. Review
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

7 authors at 4 institutions in 3 countries.

Ali NehmeEA4173, Functional genomics of arterial hypertension, UCBL-1, Villeurbanne, France.
Firas KobeissyDepartment of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Jingfu ZhaoDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, 79409, USA.
Rui ZhuDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, 79409, USA.
Patrick FeugierService de Chirurgie Vasculaire, Hôpital Universitaire E Herriot, Lyon, 69008, France.
Yehia MechrefDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, 79409, USA. yehia.mechref@ttu.edu.
Kazem ZibaraPRASE, DSST, Lebanese University, Beirut, Lebanon. kzibara@ul.edu.lb.
Texas Tech University · USLebanese University · LBAmerican University of Beirut · LBHôpital Edouard Herriot · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in large-scale analysis are becoming very useful in understanding health and disease. Here, we used high-throughput mass spectrometry to identify differentially expressed proteins between early and advanced lesions. Carotid endarterectomy samples were collected and dissected into early and advanced atherosclerotic lesion portions. Proteins were extracted and subjected to liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. Differentially expressed proteins were identified and verified using multiple reaction monitoring (MRM), on which advanced systems biology and enrichment analyses were performed. The identified proteins were further compared to the transcriptomic data of 32 paired samples obtained from early and advanced atherosclerotic lesions. A total of 95 proteins were upregulated, and 117 proteins were downregulated in advanced lesions compared to early atherosclerotic lesions (p < 0.05). The upregulated proteins were associated with proatherogenic processes, whereas downregulated proteins were involved in extracellular matrix organization and vascular smooth muscle cytoskeleton. Many of the identified proteins were linked to various "upstream regulators", among which TGFβ had the highest connections. Specifically, a total of 19 genes were commonly upregulated, and 30 genes were downregulated at the mRNA and protein levels. These genes were involved in vascular smooth muscle cell activity, for which enriched transcription factors were identified. This study deciphers altered pathways in atherosclerosis and identifies upstream regulators that could be candidate targets for treatment.

Indexed as

ProteomicsAgedAged, 80 and overCarotid Artery DiseasesComputational BiologyCytoskeletonEndarterectomy, CarotidExtracellular MatrixFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHigh-Throughput Screening AssaysHumansMaleMiddle AgedTransforming Growth Factor betaAtherosclerosisCarotid arteryProteomeTranscription regulatorsTranscriptome

Identifiers

PMID30617313
OpenAlexW2909553600

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.