Evidence map›Paper›PMID 35344771›Full record

ArticleJournal of infection and public health2022

Bioinformatics analysis of potential therapeutic targets for COVID-19 infection in patients with carotid atherosclerosis.

Liang Yanchao, Zhang Sibin, Ilgiz Gareev, Xiang Huan, Zhao Junfei, Liu Chunyang, Ozal Beylerli, Albert Sufianov, Yuan Chao, Gai Yuyan and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of infection and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 5 institutions in 3 countries.

Liang YanchaoDepartment of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Zhang SibinThe Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Ilgiz GareevBashkir State Medical University, Ufa, Republic of Bashkortostan 450008, Russia.
Xiang HuanDepartment of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Zhao JunfeiHarbin Institute of Information Technology, No.9 University Town, Binxi Economic and Technological Development Zone, Harbin, Heilongjiang, China.
Liu ChunyangDepartment of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Ozal BeylerliFederal Center of Neurosurgery, Tyumen, Russia.
Albert SufianovFederal Center of Neurosurgery, Tyumen, Russia; Department of Neurosurgery, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Yuan ChaoDepartment of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Gai YuyanHarbin Institute of Information Technology, No.9 University Town, Binxi Economic and Technological Development Zone, Harbin, Heilongjiang, China.
Xu XunDepartment of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Aamir AhmadInterim Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Liang PengThe Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China. Electronic address: liangpeng@hrbmu.edu.cn.
Yang GuangDepartment of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China. Electronic address: yangguang1227@163.com.
Harbin Medical University · CNFirst Affiliated Hospital of Harbin Medical University · CNBashkir State Medical University · RUHamad Medical Corporation · QASechenov University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 is a new coronavirus that constitutes a great challenge to human health. At this stage, there are still cases of COVID-19 infection in some countries and regions, in which ischemic stroke (IS) is a risk factor for new coronavirus pneumonia, and patients with COVID-19 infection have a dramatically elevated risk of stroke. At the same time, patients with long-term IS are vulnerable to COVID-19 infection and have more severe disease, and carotid atherosclerosis is an early lesion in IS.

methodsThis study used human induced pluripotent stem cell (hiPSC)-derived monolayer brain cell dataset and human carotid atherosclerosis genome-wide dataset to analyze COVID-19 infection and carotid atherosclerosis patients to determine the synergistic effect of new coronavirus infection on carotid atherosclerosis patients, to clarify the common genes of both, and to identify common pathways and potential drugs for carotid atherosclerosis in patients with COVID-19 infection

resultsUsing several advanced bioinformatics tools, we present the causes of COVID-19 infection leading to increased mortality in carotid atherosclerosis patients and the susceptibility of carotid atherosclerosis patients to COVID-19. Potential therapeutic agents for COVID-19 -infected patients with carotid atherosclerosis are also proposed.

conclusionsWith COVID-19 being a relatively new disease, associations have been proposed for its connections with several ailments and conditions, including IS and carotid atherosclerosis. More patient-based data-sets and studies are needed to fully explore and understand the relationship.

Indexed as

Carotid Artery DiseasesCOVID-19Induced Pluripotent Stem CellsComputational BiologyHumansSARS-CoV-2Carotid atherosclerosisCOVID-19 infectionDifferentially expressed genesDrugGene ontologyHub geneProtein–protein interactionsSARS-CoV-2

Identifiers

PMID35344771
PMCPMC8937610
OpenAlexW4221057612

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.