ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2026
In-depth analysis of retinal RNA transcriptome sequencing in a rat model of hypertensive retinopathy.
Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectivesHypertensive retinopathy is a microvascular complication caused by systemic hypertension and can lead to severe visual impairment. At present, the molecular mechanisms of this disease remain incompletely understood, particularly the global expression profiles and regulatory networks of non-coding RNA (ncRNA). This study aims to comprehensively analyze the genome-wide differential expression profiles of messenger RNA (mRNA), microRNA (miRNA), long non-coding RNA (lncRNA), and circular RNA (circRNA) in retinal tissues from a spontaneously hypertensive rat (SHR) model of hypertensive retinopathy, and to observe transcriptomic changes after treatment with the calcium channel blocker lacidipine, thereby revealing their potential roles in disease pathogenesis and identifying possible therapeutic targets.
methodsSHRs were used as a model of hypertensive retinopathy, and normotensive Wistar-Kyoto (WKY) rats were used as controls. Rats were divided into 3 groups: A control group (WKY), a model group (SHR), and a treatment group (SHR+lacidipine). Rats in the treatment group received lacidipine by gavage at 0.5 mg/(kg·d) for 8 consecutive weeks. At the end of the experiment, retinal tissues were collected for histopathological examination by hematoxylin and eosin (HE) staining and for high-throughput sequencing. The lncRNA library was used to analyze mRNA, lncRNA, and circRNA expression profiles, and the small RNA (sRNA) library was used to analyze miRNA expression profiles. Differential expression analysis was performed using DESeq2. The screening criteria were |log
results1) Verification of the animal model: Blood pressure was significantly higher in the model group than in the control group. The model group exhibited edema of the retinal nerve fiber layer, dilation of vascular lumens, and increased retinal thickness. Lacidipine treatment reduced blood pressure and alleviated these pathological changes. 2) Differential expression of mRNAs: Compared with the control group, 870 mRNAs were significantly downregulated and 1 018 mRNAs were significantly upregulated in the model group. Compared with the model group, 2 644 mRNAs were significantly downregulated and 186 mRNAs were significantly upregulated in the treatment group. GO analysis showed that upregulated mRNAs in the model group were enriched in immune-inflammatory processes, such as leukocyte activation, chemotaxis, defense response, and regulation of tumor necrosis factor (TNF) production, whereas downregulated mRNAs were enriched in G protein-coupled receptor (GPCR) signaling, glycoprotein synthesis, ion channel activity, and related processes. KEGG analysis revealed that upregulated mRNAs in the model group were enriched in interleukin-17 (IL-17), TNF, oxidative stress, and lipid inflammatory mediator metabolic pathways, whereas downregulated mRNAs were enriched in phosphatidylinositol 3-kinase (PI3K)-protein kinase B (AKT) signaling, vascular smooth muscle contraction, extracellular matrix (ECM)-receptor interaction, and related pathways. In the treatment group, the downregulated mRNAs were mainly enriched in pathways related to immune-inflammatory activation, such as mast cell degranulation and leukocyte degranulation. 3) Treatment-reversed mRNAs: A total of 67 genes that were upregulated in the model group and downregulated after treatment were identified; these genes were mainly enriched in endoplasmic reticulum stress-associated apoptotic signaling, mitophagy, ubiquitin ligase activity, and related processes. In addition, 54 genes that were downregulated in the model group and upregulated after treatment were identified; these genes were mainly enriched in amino acid transport, integrin complex, focal adhesion, glutamate transport activity, and related processes. Real-time RT-PCR validated the expression changes of
conclusionsThis study is the first to integrate and analyze retinal transcriptomic profiles of mRNAs, miRNAs, lncRNAs, and circRNAs in an SHR model of hypertensive retinopathy, and it reveals RNA expression changes associated with lacidipine treatment. The results suggest that immune-inflammatory activation, neurovascular dysfunction, and ncRNA-mediated ceRNA regulatory networks may participate in the pathogenesis of hypertensive retinopathy. The identified differentially expressed molecules and predicted regulatory axes provide a candidate molecular basis for further mechanistic validation and screening of potential therapeutic targets.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.