Evidence map›Paper›PMID 36803109›Full record

ArticleDiabetes & vascular disease research

Disruption of COMMD1 accelerates diabetic atherosclerosis by promoting glycolysis.

Lili Zhang, Lihua Li, Yalan Li, Han Jiang, Zhen Sun, Guangyao Zang, Yongjiang Qian, Chen Shao, Zhongqun Wang

Open access · diamondAbstract read
In one paragraph

Article in Diabetes & vascular disease research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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 at 1 institution in 1 country.

Lili ZhangDepartment of Cardiology, 191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Lihua LiDepartment of Pathology, 191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Yalan LiDepartment of Cardiology, 191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Han JiangDepartment of Cardiology, 191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Zhen SunDepartment of Cardiology, 191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Guangyao ZangDepartment of Cardiology, 191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Yongjiang QianDepartment of Cardiology, 191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Chen ShaoDepartment of Cardiology, 191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Zhongqun WangDepartment of Cardiology, 191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.ORCID 0000-0003-3590-9313
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDiabetes will lead to serious complications, of which atherosclerosis is the most dangerous. This study aimed to explore the mechanisms of diabetic atherosclerosis.

methodsApoE

resultsIn this study, we showed that diabetes promoted the progression of atherosclerosis in ApoE

conclusionTaken together, we provided evidence that the lack of COMMD1 accelerates diabetic atherosclerosis via mediating the metabolic reprogramming of macrophages. Our study provides evidence of a protective role for COMMD1 and establishes COMMD1 as a potential therapeutic strategy in patients with diabetic atherosclerosis.

Indexed as

Adaptor Proteins, Signal TransducingAtherosclerosisDiabetes MellitusAnimalsGlucoseLipoproteins, LDLMacrophagesMiceMice, Knockout, ApoEAdaptor Proteins, Signal TransducingCommd1 protein, mouseGlucoseLipoproteins, LDLatherosclerosisCOMMD1diabetesglycolysis

Identifiers

PMID36803109
PMCPMC9941604
OpenAlexW4321349274

What OpenQuestion holds

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LicenceCC BY-NC
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.