Evidence map›Paper›PMID 34980145›Full record

ArticleProteome science2022

TMT-based quantitative proteomic profiling of human monocyte-derived macrophages and foam cells.

Yali Zhang, Yu Fu, Linying Jia, Chenyang Zhang, Wenbin Cao, Naqash Alam, Rong Wang, Weirong Wang, Liang Bai, Sihai Zhao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Proteome science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Cardioproteomics: Insights on Cardiovascular Diseases.Advances in experimental medicine and biology · 2024
    Review
  4. Article
  5. Emerging roles of long non-coding RNA FTX in human disorders.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Review
  6. Review
  7. 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

11 authors at 1 institution in 1 country.

Yali ZhangResearch Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Yu FuLaboratory Animal Center, Xi'an Jiaotong University Health Science Centre, Xi'an, 710061, Shaanxi, China.
Linying JiaResearch Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Chenyang ZhangResearch Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Wenbin CaoResearch Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Naqash AlamResearch Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Rong WangResearch Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Weirong WangResearch Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Liang BaiResearch Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Sihai ZhaoResearch Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Enqi LiuResearch Institute of Atherosclerotic Disease, Xi'an Jiaotong University Cardiovascular Research Centre, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China. liuenqi@mail.xjtu.edu.cn.
Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases remain the leading cause of morbidity and mortality worldwide, most of which are caused by atherosclerosis. Discerning processes that participate in macrophage-to-foam cell formation are critical for understanding the basic mechanisms underlying atherosclerosis. To explore the molecular mechanisms of foam cell formation, differentially expressed proteins were identified.

methodsHuman peripheral blood mononuclear cells were stimulated with macrophage colony-stimulating factor, and obtained macrophages were transformed into foam cells by oxidized low-density lipoprotein. Tandem mass tag (TMT) labeling combined with mass spectrometry was performed to find associations between foam cell transformation and proteome profiles.

resultsTotally, 5146 quantifiable proteins were identified, among which 1515 and 182 differentially expressed proteins (DEPs) were found in macrophage/monocyte and foam cell/macrophage, respectively. Subcellular localization analysis revealed that downregulated DEPs of macrophages/monocytes were mostly located in the nucleus, whereas upregulated DEPs of foam cells/macrophages were mostly extracellular or located in the plasma membrane. Functional analysis of DEPs demonstrated that cholesterol metabolism-related proteins were upregulated in foam cells, whereas immune response-related proteins were downregulated in foam cells. The protein interaction network showed that the DEPs with the highest interaction scores between macrophages and foam cells were mainly concentrated in lysosomes and the endoplasmic reticulum.

conclusionsProteomics analysis suggested that cholesterol metabolism was upregulated, while the immune response was suppressed in foam cells. KEGG enrichment analysis and protein-protein interaction analysis indicated that DEPs located in the endoplasmic reticulum and lysosomes might be key drivers of foam cell formation. These data provide a basis for identifying the potential proteins associated with the molecular mechanism underlying macrophage transformation to foam cells.

Indexed as

AtherosclerosisFoam cellMacrophageProteome

Identifiers

PMID34980145
PMCPMC8725474
OpenAlexW4206441230

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.