Evidence map›Paper›PMID 37002321›Full record

ReviewActa diabetologica2023

hsa-mir-(4328, 4422, 548z and -628-5p) in diabetic retinopathy: diagnosis, prediction and linking a new therapeutic target.

Weijun Liu, Zhanqing Luo, Lihuan Zhang, Yutao Wang, Jiamei Yang, Dingyun You, Xue Cao, Weimin Yang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Acta diabetologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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 1 institution in 1 country.

Weijun LiuDepartment of Laboratory Animal Science, Kunming Medical University, No. 1168, Chunrong West Road, Yuhua Street, Chenggong District, Kunming, 650500, Yunnan, China.
Zhanqing LuoDepartment of Laboratory Animal Science, Kunming Medical University, No. 1168, Chunrong West Road, Yuhua Street, Chenggong District, Kunming, 650500, Yunnan, China.
Lihuan ZhangDepartment of Laboratory Animal Science, Kunming Medical University, No. 1168, Chunrong West Road, Yuhua Street, Chenggong District, Kunming, 650500, Yunnan, China.
Yutao WangDepartment of Laboratory Animal Science, Kunming Medical University, No. 1168, Chunrong West Road, Yuhua Street, Chenggong District, Kunming, 650500, Yunnan, China.
Jiamei YangSchool of Rehabilitation, Kunming Medical University, No. 1168, Chunrong West Road, Yuhua Street, Chenggong District, Kunming, 650500, Yunnan, China.
Dingyun YouDepartment of Epidemiology, School of Public Health, Kunming Medical University, No. 1168, Chunrong West Road, Yuhua Street, Chenggong District, Kunming, 650500, Yunnan, China. youdingyun@qq.com.
Xue CaoDepartment of Laboratory Animal Science, Kunming Medical University, No. 1168, Chunrong West Road, Yuhua Street, Chenggong District, Kunming, 650500, Yunnan, China. dir1865@163.com.ORCID http://orcid.org/0000-0002-1303-9604
Weimin YangSchool of Pharmaceutical Science and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, No. 1168, Chunrong West Road, Yuhua Street, Chenggong District, Kunming, 650500, Yunnan, China. ywmbessie@yeah.net.
Kunming Medical University · CN

Funding

Applied Basic Research Foundation of Yunnan Province 202001AY070001-196Applied Basic Research Foundation of Yunnan Province 202201AY070001-033Scientific Research Fund of Yunnan Provincial Education Department 2019J1243the National Natural Science Foundation of China 81560589Yunnan Provincial Science and Technology Department in China 202105AF150015
6 · The paper itself

Abstract

aimsGrowing evidence suggests that microRNAs (miRNAs) are crucial in controlling how diabetic retinopathy (DR) develops. We intend to mine miRNAs with diagnostic and predictive value for DR and to investigate new drug therapeutic targets.

methodsAfter performing a differential analysis on the miRNA and mRNA datasets for DR and neovascularization (NEO), miRNA-mRNA networks were created. Combine the results of enrichment analysis, Protein-Protein Interaction Networks (PPI), and Cytoscape to identify key miRNAs. DrugBank was used to find drugs that interacted with transcription factors (TF) predicted by TransmiR. Finally, whole blood and clinical data were collected from 58 patients with type 2 diabetes mellitus (T2DM), and RT-qPCR, logistic analysis, and ROC were used to verify the value of key miRNAs.

resultsDifferential analysis indicated the presence of genes and miRNAs that co-regulate DR and NEO. Enrichment analysis showed that key genes are inextricably linked to neovascularization. Combining the results of PPI and Cytoscape identified four key miRNAs, namely hsa-mir-(4328, 4422, 548z and -628-5p). RT-qPCR, logistic, and ROC results showed that decreased expression levels of hsa-mir-(4328, 4422, 548z and -628-5p) signal the risk of evolution to DR in T2DM patients. Finally, we constructed a TF-miRNA network to find the 15 TFs and the 35 drugs that interact with these TFs.

conclusionhsa-mir-(4328, 4422, 548z and -628-5p) in whole blood are protective factors for DR as novel biomarkers for diagnosis and prediction. In addition, our research provides new drug directions for the treatment of DR, such as Diosmin, Atorvastatin, and so on.

Indexed as

Diabetes Mellitus, Type 2Diabetic RetinopathyMicroRNAsBiomarkersHumansBiomarkersMicroRNAsDiabetic retinopathy (DR)DiagnosticmiRNARedictive

Identifiers

PMID37002321
OpenAlexW4362459550

What OpenQuestion holds

Textmetadata
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.