Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis

BackgroundCoronary heart disease (CHD) is the most common progressive disease that is difficult to diagnose and predict in the young asymptomatic period. Our study explored a mechanistic understanding of the genetic effects of premature CHD (PCHD) and provided potential biomarkers and treatment targets for further research through high throughput sequencing and integrated bioinformatics analysis.MethodsHigh throughput sequencing was performed among recruited patients with PCHD and young healthy individuals, and CHD-related microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using R software. Enrichment analysis and CIBERSORT were performed to explore the enriched pathways of DEGs and the characteristics of infiltrating immune cells. Hub genes identified by protein–protein interaction (PPI) networks were used to construct the competitive endogenous RNA (ceRNA) networks. Potential drugs were predicted by using the Drug Gene Interaction Database (DGIdb).ResultsA total of 35 DEGs were identified from the sequencing dataset and GEO database by the Venn Diagram. Enrichment analysis indicated that DEGs are mostly enriched in excessive immune activation pathways and signal transduction. CIBERSORT exhibited that resting memory CD4 T cells and neutrophils were more abundant, and M2 macrophages, CD8 T cells, and naïve CD4 T cells were relatively scarce in patients with PCHD. After the identification of 10 hub gens, three ceRNA networks of CD83, CXCL8, and NR4A2 were constructed by data retrieval and validation. In addition, CXCL8 might interact most with multiple chemical compounds mainly consisting of anti-inflammatory drugs.ConclusionsThe immune dysfunction mainly contributes to the pathogenesis of PCHD, and three ceRNA networks of CD83, CXCL8, and NR4A2 may be potential candidate biomarkers for early diagnosis and treatment targets of PCHD. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Haiming Wang [verfasserIn] Junjie Shao [verfasserIn] Xuechun Lu [verfasserIn] Min Jiang [verfasserIn] Xin Li [verfasserIn] Zifan Liu [verfasserIn] Yunzhang Zhao [verfasserIn] Jingjing Zhou [verfasserIn] Lejian Lin [verfasserIn] Lin Wang [verfasserIn] Qiang Xu [verfasserIn] Yundai Chen [verfasserIn] Ran Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	premature coronary heart disease high throughput sequencing integrated bioinformatics analysis immune dysfunction potential biomarkers

Übergeordnetes Werk:	In: Frontiers in Cardiovascular Medicine - Frontiers Media S.A., 2015, 9(2022)
Übergeordnetes Werk:	volume:9 ; year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fcvm.2022.893502

Katalog-ID:	DOAJ030433673

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520			\|a BackgroundCoronary heart disease (CHD) is the most common progressive disease that is difficult to diagnose and predict in the young asymptomatic period. Our study explored a mechanistic understanding of the genetic effects of premature CHD (PCHD) and provided potential biomarkers and treatment targets for further research through high throughput sequencing and integrated bioinformatics analysis.MethodsHigh throughput sequencing was performed among recruited patients with PCHD and young healthy individuals, and CHD-related microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using R software. Enrichment analysis and CIBERSORT were performed to explore the enriched pathways of DEGs and the characteristics of infiltrating immune cells. Hub genes identified by protein–protein interaction (PPI) networks were used to construct the competitive endogenous RNA (ceRNA) networks. Potential drugs were predicted by using the Drug Gene Interaction Database (DGIdb).ResultsA total of 35 DEGs were identified from the sequencing dataset and GEO database by the Venn Diagram. Enrichment analysis indicated that DEGs are mostly enriched in excessive immune activation pathways and signal transduction. CIBERSORT exhibited that resting memory CD4 T cells and neutrophils were more abundant, and M2 macrophages, CD8 T cells, and naïve CD4 T cells were relatively scarce in patients with PCHD. After the identification of 10 hub gens, three ceRNA networks of CD83, CXCL8, and NR4A2 were constructed by data retrieval and validation. In addition, CXCL8 might interact most with multiple chemical compounds mainly consisting of anti-inflammatory drugs.ConclusionsThe immune dysfunction mainly contributes to the pathogenesis of PCHD, and three ceRNA networks of CD83, CXCL8, and NR4A2 may be potential candidate biomarkers for early diagnosis and treatment targets of PCHD.
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700	0		\|a Qiang Xu \|e verfasserin \|4 aut
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allfields	10.3389/fcvm.2022.893502 doi (DE-627)DOAJ030433673 (DE-599)DOAJd6e72e72d2a643fbbb217ec274e03a93 DE-627 ger DE-627 rakwb eng RC666-701 Haiming Wang verfasserin aut Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BackgroundCoronary heart disease (CHD) is the most common progressive disease that is difficult to diagnose and predict in the young asymptomatic period. Our study explored a mechanistic understanding of the genetic effects of premature CHD (PCHD) and provided potential biomarkers and treatment targets for further research through high throughput sequencing and integrated bioinformatics analysis.MethodsHigh throughput sequencing was performed among recruited patients with PCHD and young healthy individuals, and CHD-related microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using R software. Enrichment analysis and CIBERSORT were performed to explore the enriched pathways of DEGs and the characteristics of infiltrating immune cells. Hub genes identified by protein–protein interaction (PPI) networks were used to construct the competitive endogenous RNA (ceRNA) networks. Potential drugs were predicted by using the Drug Gene Interaction Database (DGIdb).ResultsA total of 35 DEGs were identified from the sequencing dataset and GEO database by the Venn Diagram. Enrichment analysis indicated that DEGs are mostly enriched in excessive immune activation pathways and signal transduction. CIBERSORT exhibited that resting memory CD4 T cells and neutrophils were more abundant, and M2 macrophages, CD8 T cells, and naïve CD4 T cells were relatively scarce in patients with PCHD. After the identification of 10 hub gens, three ceRNA networks of CD83, CXCL8, and NR4A2 were constructed by data retrieval and validation. In addition, CXCL8 might interact most with multiple chemical compounds mainly consisting of anti-inflammatory drugs.ConclusionsThe immune dysfunction mainly contributes to the pathogenesis of PCHD, and three ceRNA networks of CD83, CXCL8, and NR4A2 may be potential candidate biomarkers for early diagnosis and treatment targets of PCHD. premature coronary heart disease high throughput sequencing integrated bioinformatics analysis immune dysfunction potential biomarkers Diseases of the circulatory (Cardiovascular) system Junjie Shao verfasserin aut Xuechun Lu verfasserin aut Min Jiang verfasserin aut Xin Li verfasserin aut Zifan Liu verfasserin aut Yunzhang Zhao verfasserin aut Jingjing Zhou verfasserin aut Lejian Lin verfasserin aut Lin Wang verfasserin aut Qiang Xu verfasserin aut Yundai Chen verfasserin aut Ran Zhang verfasserin aut In Frontiers in Cardiovascular Medicine Frontiers Media S.A., 2015 9(2022) (DE-627)793951607 (DE-600)2781496-8 2297055X nnns volume:9 year:2022 https://doi.org/10.3389/fcvm.2022.893502 kostenfrei https://doaj.org/article/d6e72e72d2a643fbbb217ec274e03a93 kostenfrei https://www.frontiersin.org/articles/10.3389/fcvm.2022.893502/full kostenfrei https://doaj.org/toc/2297-055X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
spelling	10.3389/fcvm.2022.893502 doi (DE-627)DOAJ030433673 (DE-599)DOAJd6e72e72d2a643fbbb217ec274e03a93 DE-627 ger DE-627 rakwb eng RC666-701 Haiming Wang verfasserin aut Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BackgroundCoronary heart disease (CHD) is the most common progressive disease that is difficult to diagnose and predict in the young asymptomatic period. Our study explored a mechanistic understanding of the genetic effects of premature CHD (PCHD) and provided potential biomarkers and treatment targets for further research through high throughput sequencing and integrated bioinformatics analysis.MethodsHigh throughput sequencing was performed among recruited patients with PCHD and young healthy individuals, and CHD-related microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using R software. Enrichment analysis and CIBERSORT were performed to explore the enriched pathways of DEGs and the characteristics of infiltrating immune cells. Hub genes identified by protein–protein interaction (PPI) networks were used to construct the competitive endogenous RNA (ceRNA) networks. Potential drugs were predicted by using the Drug Gene Interaction Database (DGIdb).ResultsA total of 35 DEGs were identified from the sequencing dataset and GEO database by the Venn Diagram. Enrichment analysis indicated that DEGs are mostly enriched in excessive immune activation pathways and signal transduction. CIBERSORT exhibited that resting memory CD4 T cells and neutrophils were more abundant, and M2 macrophages, CD8 T cells, and naïve CD4 T cells were relatively scarce in patients with PCHD. After the identification of 10 hub gens, three ceRNA networks of CD83, CXCL8, and NR4A2 were constructed by data retrieval and validation. In addition, CXCL8 might interact most with multiple chemical compounds mainly consisting of anti-inflammatory drugs.ConclusionsThe immune dysfunction mainly contributes to the pathogenesis of PCHD, and three ceRNA networks of CD83, CXCL8, and NR4A2 may be potential candidate biomarkers for early diagnosis and treatment targets of PCHD. premature coronary heart disease high throughput sequencing integrated bioinformatics analysis immune dysfunction potential biomarkers Diseases of the circulatory (Cardiovascular) system Junjie Shao verfasserin aut Xuechun Lu verfasserin aut Min Jiang verfasserin aut Xin Li verfasserin aut Zifan Liu verfasserin aut Yunzhang Zhao verfasserin aut Jingjing Zhou verfasserin aut Lejian Lin verfasserin aut Lin Wang verfasserin aut Qiang Xu verfasserin aut Yundai Chen verfasserin aut Ran Zhang verfasserin aut In Frontiers in Cardiovascular Medicine Frontiers Media S.A., 2015 9(2022) (DE-627)793951607 (DE-600)2781496-8 2297055X nnns volume:9 year:2022 https://doi.org/10.3389/fcvm.2022.893502 kostenfrei https://doaj.org/article/d6e72e72d2a643fbbb217ec274e03a93 kostenfrei https://www.frontiersin.org/articles/10.3389/fcvm.2022.893502/full kostenfrei https://doaj.org/toc/2297-055X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
allfields_unstemmed	10.3389/fcvm.2022.893502 doi (DE-627)DOAJ030433673 (DE-599)DOAJd6e72e72d2a643fbbb217ec274e03a93 DE-627 ger DE-627 rakwb eng RC666-701 Haiming Wang verfasserin aut Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BackgroundCoronary heart disease (CHD) is the most common progressive disease that is difficult to diagnose and predict in the young asymptomatic period. Our study explored a mechanistic understanding of the genetic effects of premature CHD (PCHD) and provided potential biomarkers and treatment targets for further research through high throughput sequencing and integrated bioinformatics analysis.MethodsHigh throughput sequencing was performed among recruited patients with PCHD and young healthy individuals, and CHD-related microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using R software. Enrichment analysis and CIBERSORT were performed to explore the enriched pathways of DEGs and the characteristics of infiltrating immune cells. Hub genes identified by protein–protein interaction (PPI) networks were used to construct the competitive endogenous RNA (ceRNA) networks. Potential drugs were predicted by using the Drug Gene Interaction Database (DGIdb).ResultsA total of 35 DEGs were identified from the sequencing dataset and GEO database by the Venn Diagram. Enrichment analysis indicated that DEGs are mostly enriched in excessive immune activation pathways and signal transduction. CIBERSORT exhibited that resting memory CD4 T cells and neutrophils were more abundant, and M2 macrophages, CD8 T cells, and naïve CD4 T cells were relatively scarce in patients with PCHD. After the identification of 10 hub gens, three ceRNA networks of CD83, CXCL8, and NR4A2 were constructed by data retrieval and validation. In addition, CXCL8 might interact most with multiple chemical compounds mainly consisting of anti-inflammatory drugs.ConclusionsThe immune dysfunction mainly contributes to the pathogenesis of PCHD, and three ceRNA networks of CD83, CXCL8, and NR4A2 may be potential candidate biomarkers for early diagnosis and treatment targets of PCHD. premature coronary heart disease high throughput sequencing integrated bioinformatics analysis immune dysfunction potential biomarkers Diseases of the circulatory (Cardiovascular) system Junjie Shao verfasserin aut Xuechun Lu verfasserin aut Min Jiang verfasserin aut Xin Li verfasserin aut Zifan Liu verfasserin aut Yunzhang Zhao verfasserin aut Jingjing Zhou verfasserin aut Lejian Lin verfasserin aut Lin Wang verfasserin aut Qiang Xu verfasserin aut Yundai Chen verfasserin aut Ran Zhang verfasserin aut In Frontiers in Cardiovascular Medicine Frontiers Media S.A., 2015 9(2022) (DE-627)793951607 (DE-600)2781496-8 2297055X nnns volume:9 year:2022 https://doi.org/10.3389/fcvm.2022.893502 kostenfrei https://doaj.org/article/d6e72e72d2a643fbbb217ec274e03a93 kostenfrei https://www.frontiersin.org/articles/10.3389/fcvm.2022.893502/full kostenfrei https://doaj.org/toc/2297-055X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
allfieldsGer	10.3389/fcvm.2022.893502 doi (DE-627)DOAJ030433673 (DE-599)DOAJd6e72e72d2a643fbbb217ec274e03a93 DE-627 ger DE-627 rakwb eng RC666-701 Haiming Wang verfasserin aut Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BackgroundCoronary heart disease (CHD) is the most common progressive disease that is difficult to diagnose and predict in the young asymptomatic period. Our study explored a mechanistic understanding of the genetic effects of premature CHD (PCHD) and provided potential biomarkers and treatment targets for further research through high throughput sequencing and integrated bioinformatics analysis.MethodsHigh throughput sequencing was performed among recruited patients with PCHD and young healthy individuals, and CHD-related microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using R software. Enrichment analysis and CIBERSORT were performed to explore the enriched pathways of DEGs and the characteristics of infiltrating immune cells. Hub genes identified by protein–protein interaction (PPI) networks were used to construct the competitive endogenous RNA (ceRNA) networks. Potential drugs were predicted by using the Drug Gene Interaction Database (DGIdb).ResultsA total of 35 DEGs were identified from the sequencing dataset and GEO database by the Venn Diagram. Enrichment analysis indicated that DEGs are mostly enriched in excessive immune activation pathways and signal transduction. CIBERSORT exhibited that resting memory CD4 T cells and neutrophils were more abundant, and M2 macrophages, CD8 T cells, and naïve CD4 T cells were relatively scarce in patients with PCHD. After the identification of 10 hub gens, three ceRNA networks of CD83, CXCL8, and NR4A2 were constructed by data retrieval and validation. In addition, CXCL8 might interact most with multiple chemical compounds mainly consisting of anti-inflammatory drugs.ConclusionsThe immune dysfunction mainly contributes to the pathogenesis of PCHD, and three ceRNA networks of CD83, CXCL8, and NR4A2 may be potential candidate biomarkers for early diagnosis and treatment targets of PCHD. premature coronary heart disease high throughput sequencing integrated bioinformatics analysis immune dysfunction potential biomarkers Diseases of the circulatory (Cardiovascular) system Junjie Shao verfasserin aut Xuechun Lu verfasserin aut Min Jiang verfasserin aut Xin Li verfasserin aut Zifan Liu verfasserin aut Yunzhang Zhao verfasserin aut Jingjing Zhou verfasserin aut Lejian Lin verfasserin aut Lin Wang verfasserin aut Qiang Xu verfasserin aut Yundai Chen verfasserin aut Ran Zhang verfasserin aut In Frontiers in Cardiovascular Medicine Frontiers Media S.A., 2015 9(2022) (DE-627)793951607 (DE-600)2781496-8 2297055X nnns volume:9 year:2022 https://doi.org/10.3389/fcvm.2022.893502 kostenfrei https://doaj.org/article/d6e72e72d2a643fbbb217ec274e03a93 kostenfrei https://www.frontiersin.org/articles/10.3389/fcvm.2022.893502/full kostenfrei https://doaj.org/toc/2297-055X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
allfieldsSound	10.3389/fcvm.2022.893502 doi (DE-627)DOAJ030433673 (DE-599)DOAJd6e72e72d2a643fbbb217ec274e03a93 DE-627 ger DE-627 rakwb eng RC666-701 Haiming Wang verfasserin aut Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BackgroundCoronary heart disease (CHD) is the most common progressive disease that is difficult to diagnose and predict in the young asymptomatic period. Our study explored a mechanistic understanding of the genetic effects of premature CHD (PCHD) and provided potential biomarkers and treatment targets for further research through high throughput sequencing and integrated bioinformatics analysis.MethodsHigh throughput sequencing was performed among recruited patients with PCHD and young healthy individuals, and CHD-related microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using R software. Enrichment analysis and CIBERSORT were performed to explore the enriched pathways of DEGs and the characteristics of infiltrating immune cells. Hub genes identified by protein–protein interaction (PPI) networks were used to construct the competitive endogenous RNA (ceRNA) networks. Potential drugs were predicted by using the Drug Gene Interaction Database (DGIdb).ResultsA total of 35 DEGs were identified from the sequencing dataset and GEO database by the Venn Diagram. Enrichment analysis indicated that DEGs are mostly enriched in excessive immune activation pathways and signal transduction. CIBERSORT exhibited that resting memory CD4 T cells and neutrophils were more abundant, and M2 macrophages, CD8 T cells, and naïve CD4 T cells were relatively scarce in patients with PCHD. After the identification of 10 hub gens, three ceRNA networks of CD83, CXCL8, and NR4A2 were constructed by data retrieval and validation. In addition, CXCL8 might interact most with multiple chemical compounds mainly consisting of anti-inflammatory drugs.ConclusionsThe immune dysfunction mainly contributes to the pathogenesis of PCHD, and three ceRNA networks of CD83, CXCL8, and NR4A2 may be potential candidate biomarkers for early diagnosis and treatment targets of PCHD. premature coronary heart disease high throughput sequencing integrated bioinformatics analysis immune dysfunction potential biomarkers Diseases of the circulatory (Cardiovascular) system Junjie Shao verfasserin aut Xuechun Lu verfasserin aut Min Jiang verfasserin aut Xin Li verfasserin aut Zifan Liu verfasserin aut Yunzhang Zhao verfasserin aut Jingjing Zhou verfasserin aut Lejian Lin verfasserin aut Lin Wang verfasserin aut Qiang Xu verfasserin aut Yundai Chen verfasserin aut Ran Zhang verfasserin aut In Frontiers in Cardiovascular Medicine Frontiers Media S.A., 2015 9(2022) (DE-627)793951607 (DE-600)2781496-8 2297055X nnns volume:9 year:2022 https://doi.org/10.3389/fcvm.2022.893502 kostenfrei https://doaj.org/article/d6e72e72d2a643fbbb217ec274e03a93 kostenfrei https://www.frontiersin.org/articles/10.3389/fcvm.2022.893502/full kostenfrei https://doaj.org/toc/2297-055X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
language	English
source	In Frontiers in Cardiovascular Medicine 9(2022) volume:9 year:2022
sourceStr	In Frontiers in Cardiovascular Medicine 9(2022) volume:9 year:2022
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	premature coronary heart disease high throughput sequencing integrated bioinformatics analysis immune dysfunction potential biomarkers Diseases of the circulatory (Cardiovascular) system
isfreeaccess_bool	true
container_title	Frontiers in Cardiovascular Medicine
authorswithroles_txt_mv	Haiming Wang @@aut@@ Junjie Shao @@aut@@ Xuechun Lu @@aut@@ Min Jiang @@aut@@ Xin Li @@aut@@ Zifan Liu @@aut@@ Yunzhang Zhao @@aut@@ Jingjing Zhou @@aut@@ Lejian Lin @@aut@@ Lin Wang @@aut@@ Qiang Xu @@aut@@ Yundai Chen @@aut@@ Ran Zhang @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	793951607
id	DOAJ030433673
language_de	englisch
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callnumber-first	R - Medicine
author	Haiming Wang
spellingShingle	Haiming Wang misc RC666-701 misc premature coronary heart disease misc high throughput sequencing misc integrated bioinformatics analysis misc immune dysfunction misc potential biomarkers misc Diseases of the circulatory (Cardiovascular) system Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis
authorStr	Haiming Wang
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topic_title	RC666-701 Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis premature coronary heart disease high throughput sequencing integrated bioinformatics analysis immune dysfunction potential biomarkers
topic	misc RC666-701 misc premature coronary heart disease misc high throughput sequencing misc integrated bioinformatics analysis misc immune dysfunction misc potential biomarkers misc Diseases of the circulatory (Cardiovascular) system
topic_unstemmed	misc RC666-701 misc premature coronary heart disease misc high throughput sequencing misc integrated bioinformatics analysis misc immune dysfunction misc potential biomarkers misc Diseases of the circulatory (Cardiovascular) system
topic_browse	misc RC666-701 misc premature coronary heart disease misc high throughput sequencing misc integrated bioinformatics analysis misc immune dysfunction misc potential biomarkers misc Diseases of the circulatory (Cardiovascular) system
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title	Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis
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title_full	Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis
author_sort	Haiming Wang
journal	Frontiers in Cardiovascular Medicine
journalStr	Frontiers in Cardiovascular Medicine
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author_browse	Haiming Wang Junjie Shao Xuechun Lu Min Jiang Xin Li Zifan Liu Yunzhang Zhao Jingjing Zhou Lejian Lin Lin Wang Qiang Xu Yundai Chen Ran Zhang
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author-letter	Haiming Wang
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title_sort	potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis
callnumber	RC666-701
title_auth	Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis
abstract	BackgroundCoronary heart disease (CHD) is the most common progressive disease that is difficult to diagnose and predict in the young asymptomatic period. Our study explored a mechanistic understanding of the genetic effects of premature CHD (PCHD) and provided potential biomarkers and treatment targets for further research through high throughput sequencing and integrated bioinformatics analysis.MethodsHigh throughput sequencing was performed among recruited patients with PCHD and young healthy individuals, and CHD-related microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using R software. Enrichment analysis and CIBERSORT were performed to explore the enriched pathways of DEGs and the characteristics of infiltrating immune cells. Hub genes identified by protein–protein interaction (PPI) networks were used to construct the competitive endogenous RNA (ceRNA) networks. Potential drugs were predicted by using the Drug Gene Interaction Database (DGIdb).ResultsA total of 35 DEGs were identified from the sequencing dataset and GEO database by the Venn Diagram. Enrichment analysis indicated that DEGs are mostly enriched in excessive immune activation pathways and signal transduction. CIBERSORT exhibited that resting memory CD4 T cells and neutrophils were more abundant, and M2 macrophages, CD8 T cells, and naïve CD4 T cells were relatively scarce in patients with PCHD. After the identification of 10 hub gens, three ceRNA networks of CD83, CXCL8, and NR4A2 were constructed by data retrieval and validation. In addition, CXCL8 might interact most with multiple chemical compounds mainly consisting of anti-inflammatory drugs.ConclusionsThe immune dysfunction mainly contributes to the pathogenesis of PCHD, and three ceRNA networks of CD83, CXCL8, and NR4A2 may be potential candidate biomarkers for early diagnosis and treatment targets of PCHD.
abstractGer	BackgroundCoronary heart disease (CHD) is the most common progressive disease that is difficult to diagnose and predict in the young asymptomatic period. Our study explored a mechanistic understanding of the genetic effects of premature CHD (PCHD) and provided potential biomarkers and treatment targets for further research through high throughput sequencing and integrated bioinformatics analysis.MethodsHigh throughput sequencing was performed among recruited patients with PCHD and young healthy individuals, and CHD-related microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using R software. Enrichment analysis and CIBERSORT were performed to explore the enriched pathways of DEGs and the characteristics of infiltrating immune cells. Hub genes identified by protein–protein interaction (PPI) networks were used to construct the competitive endogenous RNA (ceRNA) networks. Potential drugs were predicted by using the Drug Gene Interaction Database (DGIdb).ResultsA total of 35 DEGs were identified from the sequencing dataset and GEO database by the Venn Diagram. Enrichment analysis indicated that DEGs are mostly enriched in excessive immune activation pathways and signal transduction. CIBERSORT exhibited that resting memory CD4 T cells and neutrophils were more abundant, and M2 macrophages, CD8 T cells, and naïve CD4 T cells were relatively scarce in patients with PCHD. After the identification of 10 hub gens, three ceRNA networks of CD83, CXCL8, and NR4A2 were constructed by data retrieval and validation. In addition, CXCL8 might interact most with multiple chemical compounds mainly consisting of anti-inflammatory drugs.ConclusionsThe immune dysfunction mainly contributes to the pathogenesis of PCHD, and three ceRNA networks of CD83, CXCL8, and NR4A2 may be potential candidate biomarkers for early diagnosis and treatment targets of PCHD.
abstract_unstemmed	BackgroundCoronary heart disease (CHD) is the most common progressive disease that is difficult to diagnose and predict in the young asymptomatic period. Our study explored a mechanistic understanding of the genetic effects of premature CHD (PCHD) and provided potential biomarkers and treatment targets for further research through high throughput sequencing and integrated bioinformatics analysis.MethodsHigh throughput sequencing was performed among recruited patients with PCHD and young healthy individuals, and CHD-related microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using R software. Enrichment analysis and CIBERSORT were performed to explore the enriched pathways of DEGs and the characteristics of infiltrating immune cells. Hub genes identified by protein–protein interaction (PPI) networks were used to construct the competitive endogenous RNA (ceRNA) networks. Potential drugs were predicted by using the Drug Gene Interaction Database (DGIdb).ResultsA total of 35 DEGs were identified from the sequencing dataset and GEO database by the Venn Diagram. Enrichment analysis indicated that DEGs are mostly enriched in excessive immune activation pathways and signal transduction. CIBERSORT exhibited that resting memory CD4 T cells and neutrophils were more abundant, and M2 macrophages, CD8 T cells, and naïve CD4 T cells were relatively scarce in patients with PCHD. After the identification of 10 hub gens, three ceRNA networks of CD83, CXCL8, and NR4A2 were constructed by data retrieval and validation. In addition, CXCL8 might interact most with multiple chemical compounds mainly consisting of anti-inflammatory drugs.ConclusionsThe immune dysfunction mainly contributes to the pathogenesis of PCHD, and three ceRNA networks of CD83, CXCL8, and NR4A2 may be potential candidate biomarkers for early diagnosis and treatment targets of PCHD.
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title_short	Potential of immune-related genes as promising biomarkers for premature coronary heart disease through high throughput sequencing and integrated bioinformatics analysis
url	https://doi.org/10.3389/fcvm.2022.893502 https://doaj.org/article/d6e72e72d2a643fbbb217ec274e03a93 https://www.frontiersin.org/articles/10.3389/fcvm.2022.893502/full https://doaj.org/toc/2297-055X
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author2	Junjie Shao Xuechun Lu Min Jiang Xin Li Zifan Liu Yunzhang Zhao Jingjing Zhou Lejian Lin Lin Wang Qiang Xu Yundai Chen Ran Zhang
author2Str	Junjie Shao Xuechun Lu Min Jiang Xin Li Zifan Liu Yunzhang Zhao Jingjing Zhou Lejian Lin Lin Wang Qiang Xu Yundai Chen Ran Zhang
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up_date	2024-07-03T14:59:00.163Z
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