Evidence map›Paper›PMID 36353631›Full record

ArticleFrontiers in immunology2022

The significance of glycolysis index and its correlations with immune infiltrates in Alzheimer's disease.

Zhiqiang Qiu, Xuanyang Bai, Xiangwen Ji, Xiang Wang, Xinye Han, Duo Wang, Fenjun Jiang, Yihua An

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 14 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

8 authors at 4 institutions in 1 country.

Zhiqiang QiuDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Xuanyang BaiSchool of Public Health, China Medical University, Shenyang, China.
Xiangwen JiDepartment of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, School of Basic Medical Sciences, Peking University, Beijing, China.
Xiang WangDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Xinye HanDepartment of Research and Development, Beijing Yihua Biotechnology Co., Ltd, Beijing, China.
Duo WangDepartment of Research and Development, Beijing Yihua Biotechnology Co., Ltd, Beijing, China.
Fenjun JiangDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Yihua AnDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing Sanbo Brain Hospital · CNChina Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a common neurodegenerative disorder without an effective treatment, and results in an increasingly serious health problem. However, its pathogenesis is complex and poorly understood. Nonetheless, the exact role of dysfunctional glucose metabolism in AD pathogenesis remains unclear. We screened 28 core glycolysis-related genes and introduced a novel metric, the glycolysis index, to estimate the activation of glycolysis. The glycolysis index was significantly lower in the AD group in four different brain regions (frontal cortex, FC; temporal cortex, TC; hippocampus, HP; and entorhinal cortex, EC) than that in the control group. Combined with differential expression and over-representation analyses, we determined the clinical and pathological relevance of glycolysis in AD. Subsequently, we investigated the role of glycolysis in the AD brain microenvironment. We developed a glycolysis-brain cell marker connection network, which revealed a close relationship between glycolysis and seven brain cell types, most of which presented abundant variants in AD. Using immunohistochemistry, we detected greater infiltrated microglia and higher expression of glycolysis-related microglia markers in the APP/PS1 AD model than that in the control group, consistent with our bioinformatic analysis results. Furthermore, the excellent predictive value of the glycolysis index has been verified in different populations. Overall, our present findings revealed the clinical and biological significance of glycolysis and the brain microenvironment in AD.

Indexed as

Alzheimer DiseaseBrainEntorhinal CortexGlycolysisHippocampusHumansAlzheimer’s diseasebrain cell markersglycolysis indexmicrogliaprognostic indicator

Identifiers

PMID36353631
PMCPMC9637950
OpenAlexW4307266422

What OpenQuestion holds

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LicenceCC BY
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.