Evidence map›Paper›PMID 38739522›Full record

ArticleArchives of endocrinology and metabolism2024

LncRNA XIST promotes neovascularization in diabetic retinopathy by regulating miR-101-3p/VEGFA.

Weina Fu, Yunyan Ye, Feng Hu

Abstract read
In one paragraph

Article in Archives of endocrinology and metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  3. 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

3 authors.

Weina FuDepartment of Ophthalmology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, P.R. China, fuweina88@163.com.
Yunyan YeDepartment of Ophthalmology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, P.R. China.
Feng HuDepartment of Ophthalmology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study sought to investigate the regulation of long noncoding RNA (lncRNA) XIST on the microRNA (miR)-101-3p/vascular endothelial growth factor A (VEGFA) axis in neovascularization in diabetic retinopathy (DR). Materials and methods: Serum of patients with DR was extracted for the analysis of XIST, miR-101-3p, and VEGFA expression levels. High glucose (HG)-insulted HRMECs and DR model rats were treated with lentiviral vectors. MTT, transwell, and tube formation assays were performed to evaluate cell viability, migration, and angiogenesis, and ELISA was conducted to detect the levels of inflammatory cytokines. Dual-luciferase reporter, RIP, and RNA pull-down experiments were used to validate the relationships among XIST, miR-101-3p, and VEGFA. Results: XIST and VEGFA were upregulated and miR-101-3p was downregulated in serum from patients with DR. XIST knockdown inhibited proliferation, migration, vessel tube formation, and inflammatory responsein HG-treated HRMECs, whereas the above effects were nullified by miR-101-3p inhibition or VEGFA overexpression. miR-101-3p could bind to XIST and VEGFA. XIST promoted DR development in rats by regulating the miR-101-3p/VEGFA axis. Conclusion: LncRNA XIST promotes VEGFA expression by downregulating miR-101-3p, thereby stimulating angiogenesis and inflammatory response in DR.

Indexed as

Diabetic RetinopathyMicroRNAsNeovascularization, PathologicRNA, Long NoncodingVascular Endothelial Growth Factor AAnimalsCell MovementCell ProliferationDiabetes Mellitus, ExperimentalFemaleHumansMaleMiddle AgedRatsRats, Sprague-DawleyMicroRNAsMIRN101 microRNA, humanMIRN101 microRNA, ratRNA, Long NoncodingVascular Endothelial Growth Factor AVEGFA protein, humanXIST non-coding RNAangiogenesisDiabeteslncRNA XISTmiR-101-3pretinopathyVEGFA

Identifiers

PMID38739522
PMCPMC11156180

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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.