Evidence map›Paper›PMID 37189611›Full record

ArticleBiomedicines2023

Exploration and Clinical Verification of the Blood Co-Expression Genes of Type 2 Diabetes Mellitus and Mild Cognitive Dysfunction in the Elderly.

Yu Zhang, Shengfeng Deng, Hongfei Zhong, Miao Liu, Jingwen Ding, Rulin Geng, Qiuyun Tu

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Association BetweenInternational journal of general medicine · 2023
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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

7 authors at 2 institutions in 1 country.

Yu ZhangDepartment of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.
Shengfeng DengDepartment of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.
Hongfei ZhongDepartment of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.
Miao LiuDepartment of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.
Jingwen DingDepartment of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.
Rulin GengDepartment of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.
Qiuyun TuDepartment of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.
Sun Yat-sen University · CNFifth Affiliated Hospital of Sun Yat-sen University · CN

Funding

Qiuyun Tu GDPMAA-P-C-2021-009
6 · The paper itself

Abstract

With the development of society, the incidence of dementia and type 2 diabetes (T2DM) in the elderly has been increasing. Although the correlation between T2DM and mild cognitive impairment (MCI) has been confirmed in the previous literature, the interaction mechanism remains to be clarified. To explore the co-pathogenic genes in the blood of MCI and T2DM patients, clarify the correlation between T2DM and MCI, achieve the purpose of early disease prediction, and provide new ideas for the prevention and treatment of dementia. We downloaded T2DM and MCI microarray data from GEO databases and identified the differentially expressed genes associated with MCI and T2DM. We obtained co-expressed genes by intersecting differentially expressed genes. Then, we performed GO and KEGG enrichment analysis of co-DEGs. Next, we constructed the PPI network and found the hub genes in the network. By constructing the ROC curve of hub genes, the most valuable genes for diagnosis were obtained. Finally, the correlation between MCI and T2DM was clinically verified by means of a current situation investigation, and the hub gene was verified by qRT-PCR. A total of 214 co-DEGs were selected, 28 co-DEGs were up-regulated, and 90 co-DEGs were down-regulated. Functional enrichment analysis showed that co-DEGs were mainly enriched in metabolic diseases and some signaling pathways. The construction of the PPI network identified the hub genes in MCI and T2DM co-expression genes. We identified nine hub genes of co-DEGs, namely LNX2, BIRC6, ANKRD46, IRS1, TGFB1, APOA1, PSEN1, NPY, and ALDH2. Logistic regression analysis and person correlation analysis showed that T2DM was correlated with MCI, and T2DM increased the risk of cognitive impairment. The qRT-PCR results showed that the expressions of LNX2, BIRC6, ANKRD46, TGFB1, PSEN1, and ALDH2 were consistent with the results of bioinformatic analysis. This study screened the co-expressed genes of MCI and T2DM, which may provide new therapeutic targets for the diagnosis and treatment of diseases.

Indexed as

bioinformatics analysisblood co-expressed genesGEO databasemild cognitive dysfunctionqRT-PCRtype 2 diabetes mellitus

Identifiers

PMID37189611
PMCPMC10135937
OpenAlexW4360613790

What OpenQuestion holds

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LicenceCC BY
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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.