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Construction of a ceRNA coregulatory network and screening of hub biomarkers for salt‐sensitive hypertension
by
Cao, Han
, Guo, Chun‐Yue
, Sun, Yan‐Yan
, Peng, Wen‐Juan
, Qi, Han
, Pao, Christine
, Zhang, Ling
, Liu, Zheng
, Xiang, Yu‐Tao
in
Algorithms
/ Biomarkers
/ Biomarkers - metabolism
/ Blood pressure
/ Cardiovascular disease
/ Cardiovascular diseases
/ competing endogenous RNA
/ DNA microarrays
/ Female
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Ontology
/ Gene regulation
/ Gene Regulatory Networks
/ Heart attacks
/ Humans
/ Hypertension
/ Hypertension - diagnosis
/ Hypertension - genetics
/ ILK protein
/ Logistic Models
/ long non‐coding RNA
/ Male
/ MicroRNAs
/ Middle Aged
/ Models, Genetic
/ networks
/ Non-coding RNA
/ Original
/ Pathogenesis
/ Peptides
/ Reproducibility of Results
/ Risk factors
/ RNA, Long Noncoding - genetics
/ RNA, Messenger - genetics
/ ROC Curve
/ Salt
/ salt‐sensitive hypertension
/ Sodium Chloride, Dietary - adverse effects
/ Software
/ Transcription
2020
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Construction of a ceRNA coregulatory network and screening of hub biomarkers for salt‐sensitive hypertension
by
Cao, Han
, Guo, Chun‐Yue
, Sun, Yan‐Yan
, Peng, Wen‐Juan
, Qi, Han
, Pao, Christine
, Zhang, Ling
, Liu, Zheng
, Xiang, Yu‐Tao
in
Algorithms
/ Biomarkers
/ Biomarkers - metabolism
/ Blood pressure
/ Cardiovascular disease
/ Cardiovascular diseases
/ competing endogenous RNA
/ DNA microarrays
/ Female
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Ontology
/ Gene regulation
/ Gene Regulatory Networks
/ Heart attacks
/ Humans
/ Hypertension
/ Hypertension - diagnosis
/ Hypertension - genetics
/ ILK protein
/ Logistic Models
/ long non‐coding RNA
/ Male
/ MicroRNAs
/ Middle Aged
/ Models, Genetic
/ networks
/ Non-coding RNA
/ Original
/ Pathogenesis
/ Peptides
/ Reproducibility of Results
/ Risk factors
/ RNA, Long Noncoding - genetics
/ RNA, Messenger - genetics
/ ROC Curve
/ Salt
/ salt‐sensitive hypertension
/ Sodium Chloride, Dietary - adverse effects
/ Software
/ Transcription
2020
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Do you wish to request the book?
Construction of a ceRNA coregulatory network and screening of hub biomarkers for salt‐sensitive hypertension
by
Cao, Han
, Guo, Chun‐Yue
, Sun, Yan‐Yan
, Peng, Wen‐Juan
, Qi, Han
, Pao, Christine
, Zhang, Ling
, Liu, Zheng
, Xiang, Yu‐Tao
in
Algorithms
/ Biomarkers
/ Biomarkers - metabolism
/ Blood pressure
/ Cardiovascular disease
/ Cardiovascular diseases
/ competing endogenous RNA
/ DNA microarrays
/ Female
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Ontology
/ Gene regulation
/ Gene Regulatory Networks
/ Heart attacks
/ Humans
/ Hypertension
/ Hypertension - diagnosis
/ Hypertension - genetics
/ ILK protein
/ Logistic Models
/ long non‐coding RNA
/ Male
/ MicroRNAs
/ Middle Aged
/ Models, Genetic
/ networks
/ Non-coding RNA
/ Original
/ Pathogenesis
/ Peptides
/ Reproducibility of Results
/ Risk factors
/ RNA, Long Noncoding - genetics
/ RNA, Messenger - genetics
/ ROC Curve
/ Salt
/ salt‐sensitive hypertension
/ Sodium Chloride, Dietary - adverse effects
/ Software
/ Transcription
2020
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Construction of a ceRNA coregulatory network and screening of hub biomarkers for salt‐sensitive hypertension
Journal Article
Construction of a ceRNA coregulatory network and screening of hub biomarkers for salt‐sensitive hypertension
2020
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Overview
Salt‐sensitive hypertension (SSH) is an independent risk factor for cardiovascular disease. The regulation of long non‐coding RNAs, mRNAs and competing endogenous RNAs (ceRNAs) in the pathogenesis of SSH is uncertain. An RNA microarray was performed to discover SSH‐associated differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs), and 296 DElncRNAs and 44 DEmRNAs were identified, and 247 DElncRNAs and 44 DEmRNAs among these RNAs were included in the coexpression network. The coregulatory network included 23 ceRNA loops, and six hub RNAs (lnc‐ILK‐8:1, lnc‐OTX1‐7:1, lnc‐RCAN1‐6:1, GIMAP8, SUV420H1 and PIGV) were identified for further population validation. The ceRNA correlations among lnc‐OTX1‐7:1, hsa‐miR‐361‐5p and GIMAP8 were confirmed in SSH and SRH patients. A larger‐sample validation confirmed that GIMAP8, SUV420H1 and PIGV were differentially expressed between the SSH and SRH groups. In addition, SUV420H1 was included in the SSH screening model, and the area under the curve of the model was 0.720 (95% CI: 0.624‐0.816). Our study explored the transcriptome profiles of SSH and constructed a ceRNA network to help elucidate the mechanism of SSH. In addition, SUV420H1 was identified as a hub element that participates in SSH transcriptional regulation and as a potential biomarker for the early diagnosis of SSH.
Publisher
John Wiley & Sons, Inc,John Wiley and Sons Inc
Subject
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