Evidence map›Paper›PMID 38077483›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Microarray Expression Profile of Exosomal circRNAs from High Glucose Stimulated Human Renal Tubular Epithelial Cells.

Yan-Hua Sha, Song-Ling Cao, Lu Zhang, Li-Sha Lai, Pei-Feng Ke, Ke-Wei Yu, Xiu-Zhu Fang, Ren-Tang Deng, Ze-Min Wan, Xiao-Bin Wu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

15 authors at 3 institutions in 1 country.

Yan-Hua ShaDepartment of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Song-Ling CaoDepartment of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Lu ZhangClinical Laboratory, Houjie Hospital of Guangdong Medical University, Dongguan, Guangdong, People's Republic of China.
Li-Sha LaiClinical Laboratory, Houjie Hospital of Guangdong Medical University, Dongguan, Guangdong, People's Republic of China.
Pei-Feng KeDepartment of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Ke-Wei YuDepartment of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Xiu-Zhu FangClinical Laboratory, Houjie Hospital of Guangdong Medical University, Dongguan, Guangdong, People's Republic of China.
Ren-Tang DengClinical Laboratory, Houjie Hospital of Guangdong Medical University, Dongguan, Guangdong, People's Republic of China.
Ze-Min WanDepartment of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Xiao-Bin WuDepartment of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Guang HanDepartment of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Yu-Bang JieClinical Laboratory, Houjie Hospital of Guangdong Medical University, Dongguan, Guangdong, People's Republic of China.
Lan-Lan SongClinical Laboratory, Houjie Hospital of Guangdong Medical University, Dongguan, Guangdong, People's Republic of China.
Xian-Zhang HuangDepartment of Laboratory Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Wen-Jin FuClinical Laboratory, Houjie Hospital of Guangdong Medical University, Dongguan, Guangdong, People's Republic of China.
Guangzhou University of Chinese Medicine · CNDongguan People’s Hospital · CNGuangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Circular RNA (circRNAs) are a type of non-coding RNA (ncRNAs) with a wealth of functions. Recently, circRNAs have been identified as important regulators of diabetic kidney disease (DKD), owing to their stability and enrichment in exosomes. However, the role of circRNAs in exosomes of tubular epithelial cells in DKD development has not been fully elucidated. Methods: In our study, microarray technology was used to analyze circRNA expression in cell supernatant exosomes isolated from HK-2 cells with or without high glucose (HG) treatment. The small interfering RNAs (siRNA) and plasmid overexpression were used to validate functions of differentially expressed circRNAs. Results: We found that exosome concentration was higher in HG-stimulated HK-2 cells than in controls. A total of 235 circRNAs were significantly increased and 458 circRNAs were significantly decreased in the exosomes of the HG group. In parallel with the microarray data, the qPCR results showed that the expression of circ_0009885, circ_0043753, and circ_0011760 increased, and the expression of circ_0032872, circ_0004716, and circ_0009445 decreased in the HG group. Rescue experiments showed that the effects of high glucose on regulation of CCL2, IL6, fibronetin, n cadherin, e cadherin and epcam expression can be reversed by inhibiting or overexpressing these circRNAs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) biological pathway analyses indicated that circRNA parental genes are associated with glucose metabolism, lipid metabolism, and inflammatory processes, which are important in DKD development. Further analysis of circRNA/miRNA interactions indicated that 152 differentially expressed circRNAs with fold change (FC) ≥1.5 could be paired with 43 differentially expressed miRNAs, which are associated with diabetes or DKD. Discussion: Our results indicate that exosomal circRNAs may be promising diagnostic and therapeutic biomarkers, and may play a critical role in the progression of DKD.

Indexed as

cicrRNAdiabetic nephropathyexosomehigh glucosemicroarray

Identifiers

PMID38077483
PMCPMC10710189
OpenAlexW4389299866

What OpenQuestion holds

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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.