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Article ; Online: Associations of different type of physical activity with all-cause mortality in hypertension participants.

Ge, Chenliang / Long, Binghua / Lu, Qingjian / Jiang, Zhiyuan / He, Yan

2024 Volume 14, Issue 1, Page(s) 7515

Abstract: Few studies explored the association of different type of physical activity with all-cause mortality in hypertension (HBP) participants. A retrospective cohort analysis was performed using National Health and Nutrition Examination Survey (NHANES) data to ...

Abstract	Few studies explored the association of different type of physical activity with all-cause mortality in hypertension (HBP) participants. A retrospective cohort analysis was performed using National Health and Nutrition Examination Survey (NHANES) data to explore association of moderate-intensity physical activity (MPA), vigorous-intensity physical activity (VPA), sedentary behavior with mortality in HBP individuals. Among 10,913 HBP participants followed for a median of 6.2 years, VPA was not associated with a reduction in all-cause mortality compared to participants without VPA in multivariate Cox survival analysis. MPA was linked to lower all-cause mortality at durations of 0-150 min/week (HR, 0.72; 95% CI 0.58-0.88), 150-300 min/week (HR, 0.71; 95% CI 0.52-0.96), and > 300 min/week (HR, 0.61; 95% CI 0.49-0.77) compared to no MPA. Sedentary behavior of 6-8 h/day (HR, 1.35; 95% CI 1.15-1.59) and > 8 h/day (HR, 1.55; 95% CI 1.34-1.79) were associated with increased mortality risk versus < 6 h/day. Further research is needed to explore whether VPA can improve outcomes for HBP individuals and to determine the optimal duration of VPA.MPA is linked to lower mortality risk, indicating its potential as the best physical activity intensity for HBP individuals.
MeSH term(s)	Humans ; Nutrition Surveys ; Retrospective Studies ; Exercise ; Cohort Studies ; Hypertension
Language	English
Publishing date	2024-03-29
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-58197-2
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Associations between cardiovascular diseases and cancer mortality: insights from a retrospective cohort analysis of NHANES data.

Ge, Chenliang / Jiang, Zhiyuan / Long, Binghua / Lu, Qingjian / He, Yan

BMC public health

2024 Volume 24, Issue 1, Page(s) 1049

Abstract: Background: This study explored the association of cardiovascular disease (CVD) with cancer mortality risk in individuals with or without a history of cancer, to better understand the interplay between CVD and cancer outcomes.: Methods: Utilizing ... ...

Abstract	Background: This study explored the association of cardiovascular disease (CVD) with cancer mortality risk in individuals with or without a history of cancer, to better understand the interplay between CVD and cancer outcomes. Methods: Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018, a retrospective cohort analysis was conducted. This analysis accounted for the survey's complex design to ensure national representativeness. The association of CVD with cancer mortality was assessed through multivariable Cox proportional hazards models. Results: The present study included 59,653 participants, of whom 54,095 did not have cancer and 5558 had a history of cancer. In individuals without cancer, heart failure (HF) was associated with an increased risk of mortality from cancer (HR, 1.36; 95% CI, 1.09-1.69; P = 0.005). In participants with cancer, HF correlated with a higher risk of mortality from cancer (HR, 1.76; 95% CI, 1.32-2.34; P < 0.001). Diabetes (DM), hypertension (HBP) and coronary heart disease (CHD) were not significantly associated with an increased risk of mortality from cancer. Significant differences were observed in the interaction between cancer and CHD (HR, 0.68; 95% CI, 0.53-0.87; P = 0.002). For cancer and HBP, a similar trend was noted (HR, 0.75; 95% CI, 0.62-0.91; P = 0.003). No significant differences were found in interactions between HF, DM and cancer. Conclusions: HF was associated with an increased risk of mortality from cancer, regardless of cancer history, while HBP, CHD and DM showed no significant association. These findings underscore the importance of understanding the mechanisms behind the increased risk of cancer mortality following HF.
MeSH term(s)	Humans ; Cardiovascular Diseases ; Nutrition Surveys ; Retrospective Studies ; Risk Factors ; Cohort Studies ; Heart Failure/epidemiology ; Heart Failure/etiology ; Coronary Disease/complications ; Neoplasms
Language	English
Publishing date	2024-04-15
Publishing country	England
Document type	Journal Article
ZDB-ID	2041338-5
ISSN	1471-2458 ; 1471-2458
ISSN (online)	1471-2458
ISSN	1471-2458
DOI	10.1186/s12889-024-18498-7
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Article ; Online: SIRT1 safeguards adipogenic differentiation by orchestrating anti-oxidative responses and suppressing cellular senescence.

Yu, An / Yu, Ruofan / Liu, Haiying / Ge, Chenliang / Dang, Weiwei

GeroScience

2023 Volume 46, Issue 1, Page(s) 1107–1127

Abstract: Adipose tissue is an important endocrine organ that regulates metabolism, immune response and aging in mammals. Healthy adipocytes promote tissue homeostasis and longevity. SIRT1, a conserved ... ...

Abstract	Adipose tissue is an important endocrine organ that regulates metabolism, immune response and aging in mammals. Healthy adipocytes promote tissue homeostasis and longevity. SIRT1, a conserved NAD
MeSH term(s)	Animals ; Mice ; Adipogenesis ; Cell Differentiation ; Cellular Senescence/physiology ; Hydrogen Peroxide ; Mammals/metabolism ; Sirtuin 1
Chemical Substances	Hydrogen Peroxide (BBX060AN9V) ; Sirtuin 1 (EC 3.5.1.-) ; Sirt1 protein, mouse (EC 3.5.1.-)
Language	English
Publishing date	2023-07-08
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2886586-8
ISSN	2509-2723 ; 2509-2715
ISSN (online)	2509-2723
ISSN	2509-2715
DOI	10.1007/s11357-023-00863-w
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Article ; Online: Silencing of TLR4 Inhibits Atrial Fibrosis and Susceptibility to Atrial Fibrillation via Downregulation of NLRP3-TGF-

Ge, Chenliang / Zhao, Yaxin / Liang, Yuming / He, Yan

Disease markers

2022 Volume 2022, Page(s) 2466150

Abstract: Introduction: This study was aimed at exploring whether silencing of TLR4 could inhibit atrial fibrosis and susceptibility to atrial fibrillation (AF) by regulating NLRP3-TGF-: Methods: Spontaneously hypertensive rats (SHRs) were transfected with ... ...

Abstract	Introduction: This study was aimed at exploring whether silencing of TLR4 could inhibit atrial fibrosis and susceptibility to atrial fibrillation (AF) by regulating NLRP3-TGF- Methods: Spontaneously hypertensive rats (SHRs) were transfected with either a virus containing TLR4-shRNA to downregulate TLR4 or an empty virus (vehicle) at the age of 14 weeks. Fibrosis of left atrium and susceptibility to AF were detected, and expression of NLRP3-TGF- Results: Silencing of TLR4 reduced left atrial fibrosis and susceptibility to AF in SHRs and downregulated expression of NLRP3, TGF- Conclusion: Silencing of TLR4 can downregulate NLRP3-TGF-
MeSH term(s)	Angiotensin II/pharmacology ; Animals ; Atrial Fibrillation/genetics ; Collagen Type I/genetics ; Down-Regulation ; Fibrosis ; Heart Atria/metabolism ; Heart Atria/pathology ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism ; RNA, Small Interfering/metabolism ; Rats ; Rats, Inbred SHR ; Toll-Like Receptor 4/genetics ; Toll-Like Receptor 4/metabolism ; Transforming Growth Factor beta/genetics ; Transforming Growth Factor beta1/genetics
Chemical Substances	Collagen Type I ; NLR Family, Pyrin Domain-Containing 3 Protein ; Nlrp3 protein, rat ; RNA, Small Interfering ; Tlr4 protein, rat ; Toll-Like Receptor 4 ; Transforming Growth Factor beta ; Transforming Growth Factor beta1 ; Angiotensin II (11128-99-7)
Language	English
Publishing date	2022-07-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	604951-5
ISSN	1875-8630 ; 0278-0240
ISSN (online)	1875-8630
ISSN	0278-0240
DOI	10.1155/2022/2466150
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Zs.A 1856: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: A Novel Gene Signature to Predict Survival Time and Incident Ventricular Arrhythmias in Patients with Dilated Cardiomyopathy.

Ge, Chenliang / He, Yan

Disease markers

2020 Volume 2020, Page(s) 8847635

Abstract: The mortality in nonischaemic dilated cardiomyopathy (NIDCM) patients is still at a high level; sudden death in NIDCM can be caused by ventricular tachycardia. It is necessary to explore the pathogenesis of ventricular arrhythmias (VA) in NIDCM. ... ...

Abstract	The mortality in nonischaemic dilated cardiomyopathy (NIDCM) patients is still at a high level; sudden death in NIDCM can be caused by ventricular tachycardia. It is necessary to explore the pathogenesis of ventricular arrhythmias (VA) in NIDCM. Differentially expressed genes (DEGs) were identified by comparing the gene expression of NIDCM patients with or without VA in the gene expression profile of GSE135055. A total of 228 DEGs were obtained, and 3 genes were screened out to be significantly related to the survival time of NIDCM patients. We established a prediction model on two-gene (
Language	English
Publishing date	2020-09-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	604951-5
ISSN	1875-8630 ; 0278-0240
ISSN (online)	1875-8630
ISSN	0278-0240
DOI	10.1155/2020/8847635
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 1856: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: A Novel Gene Signature to Predict Survival Time and Incident Ventricular Arrhythmias in Patients with Dilated Cardiomyopathy

Chenliang Ge / Yan He

Disease Markers, Vol

2020 Volume 2020

Abstract	The mortality in nonischaemic dilated cardiomyopathy (NIDCM) patients is still at a high level; sudden death in NIDCM can be caused by ventricular tachycardia. It is necessary to explore the pathogenesis of ventricular arrhythmias (VA) in NIDCM. Differentially expressed genes (DEGs) were identified by comparing the gene expression of NIDCM patients with or without VA in the gene expression profile of GSE135055. A total of 228 DEGs were obtained, and 3 genes were screened out to be significantly related to the survival time of NIDCM patients. We established a prediction model on two-gene (TOMM22, PPP2R5A) signature for the survival time of NIDCM patients. The area under the curve (AUC) was 0.75 calculated by the ROC curve analysis. These risk genes are probably new targets for exploring the pathogenesis of NIDCM with VA; the prediction model for survival time and incident ventricular arrhythmias is useful in clinical decision making for individual treatment.
Keywords	Medicine (General) ; R5-920
Subject code	610
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: In Silico Prediction of Molecular Targets of Astragaloside IV for Alleviation of COVID-19 Hyperinflammation by Systems Network Pharmacology and Bioinformatic Gene Expression Analysis

Chenliang Ge / Yan He

Frontiers in Pharmacology, Vol

2020 Volume 11

Abstract: IntroductionThe overproduction of cytokines and chemokines caused by excessive and uncontrolled inflammation contributes to the development of COVID-19. Astragaloside IV is considered as an anti-inflammatory and antioxidant agent. This study aimed at ... ...

Abstract	IntroductionThe overproduction of cytokines and chemokines caused by excessive and uncontrolled inflammation contributes to the development of COVID-19. Astragaloside IV is considered as an anti-inflammatory and antioxidant agent. This study aimed at undertaking a network pharmacology approach and bioinformatics analysis to uncover the pharmacological mechanisms of Astragaloside IV on COVID-19.MethodsPotential targets of Astragaloside IV were screened from public databases. Differentially expressed genes (DEGs) in SARS-CoV-2 were screened using bioinformatics analysis on the Gene Expression Omnibus (GEO) datasets GSE147507. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were subsequently performed. The overlapping genes, GO terms and KEGG pathways between Astragaloside IV targets and SARS-CoV-2 DEGs were confirmed, and the location of overlapping targets in the key pathways was queried using KEGG Mapper.ResultsA total of 425 potential targets of Astragaloside IV were screened. Besides, a total of 546 DEGs were identified between SARS-CoV-2 infected samples and control samples, including 380 up-regulated and 166 down-regulated genes. There was a significant overlap in GO terms and KEGG pathways between Astragaloside IV targets and SARS-CoV-2 DEGs. The shared genes included MMP13, NLRP3, TRIM21, GBP1, ADORA2A, PTAFR, TNF, MLNR, IL1B, NFKBIA, ADRB2, and IL6.ConclusionsThis study is the first to propose Astragaloside IV as a new drug candidate for alleviating hyper-inflammation in COVID-19 patients. Besides, the key targets and pathways may reveal the main pharmacological mechanism of Astragaloside IV in the treatment of COVID-19.
Keywords	COVID-19 ; Astragaloside IV ; hyperinflammation ; network pharmacological ; cytokine storms ; Therapeutics. Pharmacology ; RM1-950 ; covid19
Subject code	570
Language	English
Publishing date	2020-09-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Table_2_In Silico Prediction of Molecular Targets of Astragaloside IV for Alleviation of COVID-19 Hyperinflammation by Systems Network Pharmacology and Bioinformatic Gene Expression Analysis.docx

Chenliang Ge / Yan He

2020

Abstract: Introduction The overproduction of cytokines and chemokines caused by excessive and uncontrolled inflammation contributes to the development of COVID-19. Astragaloside IV is considered as an anti-inflammatory and antioxidant agent. This study aimed at ... ...

Abstract	Introduction The overproduction of cytokines and chemokines caused by excessive and uncontrolled inflammation contributes to the development of COVID-19. Astragaloside IV is considered as an anti-inflammatory and antioxidant agent. This study aimed at undertaking a network pharmacology approach and bioinformatics analysis to uncover the pharmacological mechanisms of Astragaloside IV on COVID-19. Methods Potential targets of Astragaloside IV were screened from public databases. Differentially expressed genes (DEGs) in SARS-CoV-2 were screened using bioinformatics analysis on the Gene Expression Omnibus (GEO) datasets GSE147507. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were subsequently performed. The overlapping genes, GO terms and KEGG pathways between Astragaloside IV targets and SARS-CoV-2 DEGs were confirmed, and the location of overlapping targets in the key pathways was queried using KEGG Mapper. Results A total of 425 potential targets of Astragaloside IV were screened. Besides, a total of 546 DEGs were identified between SARS-CoV-2 infected samples and control samples, including 380 up-regulated and 166 down-regulated genes. There was a significant overlap in GO terms and KEGG pathways between Astragaloside IV targets and SARS-CoV-2 DEGs. The shared genes included MMP13, NLRP3, TRIM21, GBP1, ADORA2A, PTAFR, TNF, MLNR, IL1B, NFKBIA, ADRB2, and IL6. Conclusions This study is the first to propose Astragaloside IV as a new drug candidate for alleviating hyper-inflammation in COVID-19 patients. Besides, the key targets and pathways may reveal the main pharmacological mechanism of Astragaloside IV in the treatment of COVID-19.
Keywords	Pharmacology ; Basic Pharmacology ; Clinical Pharmacology and Therapeutics ; Clinical Pharmacy and Pharmacy Practice ; Pharmaceutical Sciences ; Pharmacogenomics ; Toxicology (incl. Clinical Toxicology) ; Pharmacology and Pharmaceutical Sciences not elsewhere classified ; COVID-19 ; Astragaloside IV ; hyperinflammation ; network pharmacological ; cytokine storms ; covid19
Subject code	570
Publishing date	2020-09-16T04:50:06Z
Publishing country	uk
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Table_1_In Silico Prediction of Molecular Targets of Astragaloside IV for Alleviation of COVID-19 Hyperinflammation by Systems Network Pharmacology and Bioinformatic Gene Expression Analysis.docx

Chenliang Ge / Yan He

2020

Abstract: Introduction The overproduction of cytokines and chemokines caused by excessive and uncontrolled inflammation contributes to the development of COVID-19. Astragaloside IV is considered as an anti-inflammatory and antioxidant agent. This study aimed at ... ...

Abstract	Introduction The overproduction of cytokines and chemokines caused by excessive and uncontrolled inflammation contributes to the development of COVID-19. Astragaloside IV is considered as an anti-inflammatory and antioxidant agent. This study aimed at undertaking a network pharmacology approach and bioinformatics analysis to uncover the pharmacological mechanisms of Astragaloside IV on COVID-19. Methods Potential targets of Astragaloside IV were screened from public databases. Differentially expressed genes (DEGs) in SARS-CoV-2 were screened using bioinformatics analysis on the Gene Expression Omnibus (GEO) datasets GSE147507. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were subsequently performed. The overlapping genes, GO terms and KEGG pathways between Astragaloside IV targets and SARS-CoV-2 DEGs were confirmed, and the location of overlapping targets in the key pathways was queried using KEGG Mapper. Results A total of 425 potential targets of Astragaloside IV were screened. Besides, a total of 546 DEGs were identified between SARS-CoV-2 infected samples and control samples, including 380 up-regulated and 166 down-regulated genes. There was a significant overlap in GO terms and KEGG pathways between Astragaloside IV targets and SARS-CoV-2 DEGs. The shared genes included MMP13, NLRP3, TRIM21, GBP1, ADORA2A, PTAFR, TNF, MLNR, IL1B, NFKBIA, ADRB2, and IL6. Conclusions This study is the first to propose Astragaloside IV as a new drug candidate for alleviating hyper-inflammation in COVID-19 patients. Besides, the key targets and pathways may reveal the main pharmacological mechanism of Astragaloside IV in the treatment of COVID-19.
Keywords	Pharmacology ; Basic Pharmacology ; Clinical Pharmacology and Therapeutics ; Clinical Pharmacy and Pharmacy Practice ; Pharmaceutical Sciences ; Pharmacogenomics ; Toxicology (incl. Clinical Toxicology) ; Pharmacology and Pharmaceutical Sciences not elsewhere classified ; COVID-19 ; Astragaloside IV ; hyperinflammation ; network pharmacological ; cytokine storms ; covid19
Subject code	570
Publishing date	2020-09-16T04:50:06Z
Publishing country	uk
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: In Silico Prediction of Molecular Targets of Astragaloside IV for Alleviation of COVID-19 Hyperinflammation by Systems Network Pharmacology and Bioinformatic Gene Expression Analysis.

Ge, Chenliang / He, Yan

Frontiers in pharmacology

2020 Volume 11, Page(s) 556984

Abstract: Introduction: The overproduction of cytokines and chemokines caused by excessive and uncontrolled inflammation contributes to the development of COVID-19. Astragaloside IV is considered as an anti-inflammatory and antioxidant agent. This study aimed at ... ...

Abstract	Introduction: The overproduction of cytokines and chemokines caused by excessive and uncontrolled inflammation contributes to the development of COVID-19. Astragaloside IV is considered as an anti-inflammatory and antioxidant agent. This study aimed at undertaking a network pharmacology approach and bioinformatics analysis to uncover the pharmacological mechanisms of Astragaloside IV on COVID-19. Methods: Potential targets of Astragaloside IV were screened from public databases. Differentially expressed genes (DEGs) in SARS-CoV-2 were screened using bioinformatics analysis on the Gene Expression Omnibus (GEO) datasets GSE147507. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were subsequently performed. The overlapping genes, GO terms and KEGG pathways between Astragaloside IV targets and SARS-CoV-2 DEGs were confirmed, and the location of overlapping targets in the key pathways was queried using KEGG Mapper. Results: A total of 425 potential targets of Astragaloside IV were screened. Besides, a total of 546 DEGs were identified between SARS-CoV-2 infected samples and control samples, including 380 up-regulated and 166 down-regulated genes. There was a significant overlap in GO terms and KEGG pathways between Astragaloside IV targets and SARS-CoV-2 DEGs. The shared genes included MMP13, NLRP3, TRIM21, GBP1, ADORA2A, PTAFR, TNF, MLNR, IL1B, NFKBIA, ADRB2, and IL6. Conclusions: This study is the first to propose Astragaloside IV as a new drug candidate for alleviating hyper-inflammation in COVID-19 patients. Besides, the key targets and pathways may reveal the main pharmacological mechanism of Astragaloside IV in the treatment of COVID-19.
Keywords	covid19
Language	English
Publishing date	2020-09-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2587355-6
ISSN	1663-9812
ISSN	1663-9812
DOI	10.3389/fphar.2020.556984
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