Evidence map›Paper›PMID 37775708›Full record

ArticleScientific data2023

Shared metabolic shifts in endothelial cells in stroke and Alzheimer's disease revealed by integrated analysis.

Guangyu Guo, Liyuan Fan, Yingxue Yan, Yunhao Xu, Zhifen Deng, Miaomiao Tian, Yaoqi Geng, Zongping Xia, Yuming Xu

Abstract read
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Guangyu GuoDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Liyuan FanDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yingxue YanClinical Systems Biology Laboratories, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yunhao XuClinical Systems Biology Laboratories, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhifen DengClinical Systems Biology Laboratories, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Miaomiao TianClinical Systems Biology Laboratories, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yaoqi GengClinical Systems Biology Laboratories, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zongping XiaDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. zxia2018@zzu.edu.cn.ORCID http://orcid.org/0000-0002-1933-4911
Yuming XuDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. xuyuming@zzu.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) U1904207
6 · The paper itself

Abstract

Since metabolic dysregulation is a hallmark of both stroke and Alzheimer's disease (AD), mining shared metabolic patterns in these diseases will help to identify their possible pathogenic mechanisms and potential intervention targets. However, a systematic integration analysis of the metabolic networks of the these diseases is still lacking. In this study, we integrated single-cell RNA sequencing datasets of ischemic stroke (IS), hemorrhagic stroke (HS) and AD models to construct metabolic flux profiles at the single-cell level. We discovered that the three disorders cause shared metabolic shifts in endothelial cells. These altered metabolic modules were mainly enriched in the transporter-related pathways and were predicted to potentially lead to a decrease in metabolites such as pyruvate and fumarate. We further found that Lef1, Elk3 and Fosl1 may be upstream transcriptional regulators causing metabolic shifts and may be possible targets for interventions that halt the course of neurodegeneration.

Indexed as

Alzheimer DiseaseStrokeEndothelial CellsHumansMetabolic Networks and PathwaysMetabolomeProto-Oncogene Proteins c-etsElk3 protein, humanProto-Oncogene Proteins c-ets

Identifiers

PMID37775708
PMCPMC10542331

What Socratic holds

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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 Socratic graph.