Evidence map›Paper›PMID 34899600›Full record

ArticleFrontiers in endocrinology2021

Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56

Ruifeng Shi, Fang Dai, Yong He, Li Sun, Min Xu, Datong Deng, Qiu Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Ruifeng ShiDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Fang DaiDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yong HeDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Li SunDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Min XuDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Datong DengDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Qiu ZhangDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
First Affiliated Hospital of Anhui Medical University · CNAnhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Alterations in natural killer (NK) cells activity cause damage to pancreatic islets in type 1 diabetes mellitus (T1DM). The aim of this study is to identify T1DM ketosis- or ketoacidosis-related genes in activated CD56 Methods: Microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using the GEO2R tool. Enrichment analyses were performed using Metascape online database and GSEA software. Cell-specific gene co-expression network was built using NetworkAnalyst tools. Cytoscape software was used to identify hub genes and construct co-expressed networks. Target miRNAs were predicted based on the DIANA-micro T, miRDB, and miRWalk online databases. Results: A total of 70 DEGs were identified between T1DM patients recovered from ketosis or ketoacidosis and healthy control blood samples in GSE44314. Among the DEGs, 10 hub genes were screened out. The mature NK cell-specific gene co-expression network for DEGs in T1DM was built using NetworkAnalyst tools. DEGs between activated CD56 Conclusion: This work identified seven hub genes in activated CD56

Indexed as

CD56 AntigenReceptors, IgGAdultDatabases, GeneticDiabetes Mellitus, Type 1Diabetic KetoacidosisExosomesFemaleGene ExpressionGene Expression ProfilingGene Regulatory NetworksHumansKiller Cells, NaturalMaleMicroarray AnalysisMicroRNAsCD56 AntigenMicroRNAsReceptors, IgGdifferentially expressed genesketoacidosisketosisNK cells subsettype 1 diabetes mellitus

Identifiers

PMID34899600
PMCPMC8656236
OpenAlexW3216968652

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.