Evidence map›Paper›PMID 39930385›Full record

ArticleBMC genomics2025

Genome-wide characterization of circular RNAs in three rat models of pulmonary hypertension reveals distinct pathological patterns.

Gaohui Fu, Lin Qiu, Jun Wang, Shujin Li, Jinglin Tian, Jiayu Wu, Xinyang Lin, Yiheng Zhu, Zixin Liu, Lingjie Luo and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. 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

22 authors.

Gaohui Fu *Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Lin Qiu *Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Jun Wang *Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Shujin Li *Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Jinglin TianShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China. tianjl@szu.edu.cn.
Jiayu WuShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Xinyang LinShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Yiheng ZhuShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Zixin LiuShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Lingjie LuoShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Ku WangCollege of Medicine, Shenzhen University, Shenzhen, 518060, China.
Feilong ZhaoShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Jiahao KuangCollege of Medicine, Shenzhen University, Shenzhen, 518060, China.
Shuangqing LiangShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Shiran LiangShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Yuqing GuoShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Yuping HongShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Yonghao YiShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Jinyong HuangShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Yanqin NiuShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Kang KangCollege of Medicine, Shenzhen University, Shenzhen, 518060, China.
Deming GouShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.

Funding

Joint project of basic research and applied basic research in Yunnan Province 202201AY070001-224Key Basic Research Projects of Shenzhen JCYJ20210324120206017National Natural Science Foundation of China 81970053National Natural Science Foundation of China 82200067National Natural Science Foundation of China 82400070Open Project of Respiratory disease Clinical Medical Center of Yunnan Province 2022LCZXKF-HX03Open Project of Respiratory disease Clinical Medical Center of Yunnan Province 2022LCZXKF-HX04Shenzhen-Hong Kong Jointly Funded Project SGDX20201103095404019Shenzhen Medical Research Fund B2302015Shenzhen stable support for general projects 20220811115030001
6 · The paper itself

Abstract

backgroundPulmonary hypertension (PH) is a devastating disease marked by elevated pulmonary artery pressure, resulting in right ventricular (RV) failure and mortality. Despite the identification of several dysregulated genes in PH, the involvement of circular RNAs (circRNAs), a subset of long noncoding RNAs, remains largely unknown.

methodsIn this study, high-throughput RNA sequencing was performed to analyze the genome-wide expression patterns of circRNAs in pulmonary arteries from three models of PH rats induced by hypoxia (Hyp), hypoxia/Sugen5416 (HySu), and monocrotaline (MCT). Differentially expressed circRNAs (DEcircRNAs) were identified, and a weighted gene coexpression network was constructed to explore circRNA networks associated with PH pathogenesis. A circRNA-miRNA-mRNA regulatory network was built, and the functional significance of targeted mRNAs was evaluated. Single-cell RNA sequencing provided insights into the distribution of cell type-specific circRNAs across PH progression.

resultsOur analysis revealed 45 circRNAs exhibiting significant changes across all three PH rat models, with their host genes participating in the calcium signaling and muscle contraction. We identified 372 PH-related circRNA-miRNA-mRNA interactions, shedding light on the regulatory networks during PH development. Furthermore, we uncovered 186, 195 and 311 Hyp-, Hysu- and MCT-specific circRNAs, respectively. These circRNAs were enriched in distinct biological processes, emphasizing their unique regulatory roles. Single-cell spatial distribution analysis of these circRNAs in the pulmonary arteries of PH patients revealed that Hyp-specific circRNA predominantly appeared in the pulmonary vascular structural cells, while HySu- and MCT-specific circRNAs exhibited broader distribution, including significant enrichment in immune-related cells.

conclusionOur study presents the first comprehensive view of circRNA regulatory networks in the pulmonary arteries of three PH rat models. We provide insights into PH-associated circRNAs, particularly their involvement in calcium signaling and muscle contraction.

Indexed as

Hypertension, PulmonaryRNA, CircularAnimalsDisease Models, AnimalGene Expression ProfilingGene Regulatory NetworksHypoxiaMaleMicroRNAsMonocrotalinePulmonary ArteryRatsRats, Sprague-DawleyRNA, MessengerMicroRNAsMonocrotalineRNA, CircularRNA, MessengercircRNA-miRNA-mRNA axescircRNAsPulmonary hypertensionSingle-cell RNA sequencing

Identifiers

PMID39930385
PMCPMC11812181

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.