scholarly journals Comprehensive coverage of cardiovascular disease data in the disease portals at the Rat Genome Database

2016 ◽  
Vol 48 (8) ◽  
pp. 589-600 ◽  
Author(s):  
Shur-Jen Wang ◽  
Stanley J. F. Laulederkind ◽  
G. Thomas Hayman ◽  
Victoria Petri ◽  
Jennifer R. Smith ◽  
...  

Cardiovascular diseases are complex diseases caused by a combination of genetic and environmental factors. To facilitate progress in complex disease research, the Rat Genome Database (RGD) provides the community with a disease portal where genome objects and biological data related to cardiovascular diseases are systematically organized. The purpose of this study is to present biocuration at RGD, including disease, genetic, and pathway data. The RGD curation team uses controlled vocabularies/ontologies to organize data curated from the published literature or imported from disease and pathway databases. These organized annotations are associated with genes, strains, and quantitative trait loci (QTLs), thus linking functional annotations to genome objects. Screen shots from the web pages are used to demonstrate the organization of annotations at RGD. The human cardiovascular disease genes identified by annotations were grouped according to data sources and their annotation profiles were compared by in-house tools and other enrichment tools available to the public. The analysis results show that the imported cardiovascular disease genes from ClinVar and OMIM are functionally different from the RGD manually curated genes in terms of pathway and Gene Ontology annotations. The inclusion of disease genes from other databases enriches the collection of disease genes not only in quantity but also in quality.

Author(s):  
Victoria Petri

The set of interacting molecules representing a biological pathway or network is a central concept in biology. It is within the pathway context that the functioning of individual molecules acquires purpose and it is the integration of these molecular circuitries that underlies the functioning of biological systems. In order to provide the research community with a dynamic platform for accessing pathway information, the Rat Genome Database (RGD – http://rgd.mcw.edu) is using a multi-tiered approach. In this chapter, the pathway resources that RGD currently offers are presented. Issues covered include: the biological pathway, the concept and the ontology, pathway literature curation and annotation of genes, interactive pathway diagrams, and tools and resources to access and navigate between pathway data. A case study is presented; future directions are discussed.


Database ◽  
2011 ◽  
Vol 2011 (0) ◽  
pp. bar002-bar002 ◽  
Author(s):  
S. J. F. Laulederkind ◽  
M. Shimoyama ◽  
G. T. Hayman ◽  
T. F. Lowry ◽  
R. Nigam ◽  
...  

2011 ◽  
pp. 5-12
Author(s):  
Anh Tien Hoang ◽  
Van Minh Huynh ◽  
Khanh Hoang ◽  
Huu Dang Tran ◽  
Viet An Tran

NT-ProBNP is a high value cardiac biomarker and widely applies in many cardiovascular diseases. The evaluation of concentration of NT-ProBNP needs the concern about age, gender, obesity and especially we need each cut-off point for each cause of cardiovascular disease in evaluation and clinical application. Because NT-ProBNP is a new cardiac marker and has been researched in 5 recent years, the cut-off of NT-ProBNP is still being studied for the clinical application in cardiovascular diseases. Only the cut-off of NT-ProBNP in diagnosis heart failure was guided by European Society of Cardiology. The meaning of introduce cut-off value of value plays an role as pilot study for the other relate study and brings the NT-ProBNP closely approach to clinical application.


2020 ◽  
Vol 28 ◽  
Author(s):  
Justyna Hajtuch ◽  
Karolina Niska ◽  
Iwona Inkielewicz-Stepniak

Background: Cancer along with cardiovascular diseases are globally defined as leading causes of death. Importantly, some risk factors are common to these diseases. The process of angiogenesis and platelets aggregation are observed in cancer development and progression. In recent years, studies have been conducted on nanodrugs in these diseases that have provided important information on the biological and physicochemical properties of nanoparticles. Their attractive features are that they are made of biocompatible, well-characterized and easily functionalized materials. Unlike conventional drug delivery, sustained and controlled drug release can be obtained by using nanomaterials. Methods: In this article, we review the latest research to provide comprehensive information on nanoparticle-based drugs for the treatment of cancer, cardiovascular disease associated with abnormal haemostasis, and the inhibition of tumorassociated angiogenesis. Results: The results of the analysis of data based on nanoparticles with drugs confirm their improved pharmaceutical and biological properties, which gives promising antiplatelet, anticoagulant and antiangiogenic effects. Moreover, the review included in vitro, in vivo research and presented nanodrugs with chemotherapeutics approved by Food and Drug Administration. Conclusion: By the optimization of nanoparticles size and surface properties, nanotechnology are able to deliver drugs with enhanced bioavailability in treatment of cardiovascular disease, cancer and inhibition of cancer-related angiogenesis. Thus, nanotechnology can improve the therapeutic efficacy of the drug, but there is a need for a better understanding of the nanodrugs interaction in the human body, because this is a key factor in the success of potential nanotherapeutics.


2017 ◽  
Vol 23 (32) ◽  
pp. 4773-4793 ◽  
Author(s):  
Nivedita Singh ◽  
Sherry Freiesleben ◽  
Olaf Wolkenhauer ◽  
Yogeshwer Shukla ◽  
Shailendra K. Gupta

The identification and validation of novel drug–target combinations are key steps in the drug discovery processes. Cancer is a complex disease that involves several genetic and environmental factors. High-throughput omics technologies are now widely available, however the integration of multi-omics data to identify viable anticancer drug-target combinations, that allow for a better clinical outcome when considering the efficacy-toxicity spectrum, is challenging. This review article provides an overview of systems approaches which help to integrate a broad spectrum of technologies and data. We focus on network approaches and investigate anticancer mechanism and biological targets of resveratrol using reverse pharmacophore mapping as an in-depth case study. The results of this case study demonstrate the use of systems approaches for a better understanding of the behavior of small molecule inhibitors in receptor binding sites. The presented network analysis approach helps in formulating hypotheses and provides mechanistic insights of resveratrol in neoplastic transformations.


2019 ◽  
Vol 22 (6) ◽  
pp. 411-420 ◽  
Author(s):  
Xian-Jun Wu ◽  
Xin-Bin Zhou ◽  
Chen Chen ◽  
Wei Mao

Aim and Objective: Cardiovascular disease is a serious threat to human health because of its high mortality and morbidity rates. At present, there is no effective treatment. In Southeast Asia, traditional Chinese medicine is widely used in the treatment of cardiovascular diseases. Quercetin is a flavonoid extract of Ginkgo biloba leaves. Basic experiments and clinical studies have shown that quercetin has a significant effect on the treatment of cardiovascular diseases. However, its precise mechanism is still unclear. Therefore, it is necessary to exploit the network pharmacological potential effects of quercetin on cardiovascular disease. Materials and Methods: In the present study, a novel network pharmacology strategy based on pharmacokinetic filtering, target fishing, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, compound-target-pathway network structured was performed to explore the anti- cardiovascular disease mechanism of quercetin. Results:: The outcomes showed that quercetin possesses favorable pharmacokinetic profiles, which have interactions with 47 cardiovascular disease-related targets and 12 KEGG signaling pathways to provide potential synergistic therapeutic effects. Following the construction of Compound-Target-Pathway (C-T-P) network, and the network topological feature calculation, we obtained top 10 core genes in this network which were AKT1, IL1B, TNF, IL6, JUN, CCL2, FOS, VEGFA, CXCL8, and ICAM1. KEGG pathway enrichment analysis. These indicated that quercetin produced the therapeutic effects against cardiovascular disease by systemically and holistically regulating many signaling pathways, including Fluid shear stress and atherosclerosis, AGE-RAGE signaling pathway in diabetic complications, TNF signaling pathway, MAPK signaling pathway, IL-17 signaling pathway and PI3K-Akt signaling pathway.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Guillermo Palou-Márquez ◽  
Isaac Subirana ◽  
Lara Nonell ◽  
Alba Fernández-Sanlés ◽  
Roberto Elosua

Abstract Background The integration of different layers of omics information is an opportunity to tackle the complexity of cardiovascular diseases (CVD) and to identify new predictive biomarkers and potential therapeutic targets. Our aim was to integrate DNA methylation and gene expression data in an effort to identify biomarkers related to cardiovascular disease risk in a community-based population. We accessed data from the Framingham Offspring Study, a cohort study with data on DNA methylation (Infinium HumanMethylation450 BeadChip; Illumina) and gene expression (Human Exon 1.0 ST Array; Affymetrix). Using the MOFA2 R package, we integrated these data to identify biomarkers related to the risk of presenting a cardiovascular event. Results Four independent latent factors (9, 19, 21—only in women—and 27), driven by DNA methylation, were associated with cardiovascular disease independently of classical risk factors and cell-type counts. In a sensitivity analysis, we also identified factor 21 as associated with CVD in women. Factors 9, 21 and 27 were also associated with coronary heart disease risk. Moreover, in a replication effort in an independent study three of the genes included in factor 27 were also present in a factor identified to be associated with myocardial infarction (CDC42BPB, MAN2A2 and RPTOR). Factor 9 was related to age and cell-type proportions; factor 19 was related to age and B cells count; factor 21 pointed to human immunodeficiency virus infection-related pathways and inflammation; and factor 27 was related to lifestyle factors such as alcohol consumption, smoking and body mass index. Inclusion of factor 21 (only in women) improved the discriminative and reclassification capacity of the Framingham classical risk function and factor 27 improved its discrimination. Conclusions Unsupervised multi-omics data integration methods have the potential to provide insights into the pathogenesis of cardiovascular diseases. We identified four independent factors (one only in women) pointing to inflammation, endothelium homeostasis, visceral fat, cardiac remodeling and lifestyles as key players in the determination of cardiovascular risk. Moreover, two of these factors improved the predictive capacity of a classical risk function.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
N. Aerts ◽  
D. Le Goff ◽  
M. Odorico ◽  
J. Y. Le Reste ◽  
P. Van Bogaert ◽  
...  

Abstract Background Cardiovascular diseases are the world’s leading cause of morbidity and mortality. An active lifestyle is one of the cornerstones in the primary prevention of cardiovascular disease. An initial step in guiding primary prevention programs is to refer to clinical guidelines. We aimed to systematically review clinical practice guidelines on primary prevention of cardiovascular disease and their recommendations regarding physical activity. Methods We systematically searched Trip Medical Database, PubMed and Guidelines International Network from January 2012 up to December 2020 using the following search strings: ‘cardiovascular disease’, ‘prevention’, combined with specific cardiovascular disease risk factors. The identified records were screened for relevance and content. We methodologically assessed the selected guidelines using the AGREE II tool. Recommendations were summarized using a consensus-developed extraction form. Results After screening, 27 clinical practice guidelines were included, all of which were developed in Western countries and showed consistent rigor of development. Guidelines were consistent about the benefit of regular, moderate-intensity, aerobic physical activity. However, recommendations on strategies to achieve and sustain behavior change varied. Multicomponent interventions, comprising education, counseling and self-management support, are recommended to be delivered by various providers in primary health care or community settings. Guidelines advise to embed patient-centered care and behavioral change techniques in prevention programs. Conclusions Current clinical practice guidelines recommend similar PA lifestyle advice and propose various delivery models to be considered in the design of such interventions. Guidelines identify a gap in evidence on the implementation of these recommendations into practice.


2021 ◽  
Vol 22 (13) ◽  
pp. 7199
Author(s):  
Maria Dorobantu ◽  
Maya Simionescu ◽  
Nicoleta-Monica Popa-Fotea

Cardiovascular diseases have attracted our full attention not only because they are the main cause of mortality and morbidity in many countries but also because the therapy for and cure of these maladies are among the major challenges of the medicine in the 21st century [...]


Author(s):  
Peter Cox ◽  
Sonal Gupta ◽  
Sizheng Steven Zhao ◽  
David M. Hughes

AbstractThe aims of this systematic review and meta-analysis were to describe prevalence of cardiovascular disease in gout, compare these results with non-gout controls and consider whether there were differences according to geography. PubMed, Scopus and Web of Science were systematically searched for studies reporting prevalence of any cardiovascular disease in a gout population. Studies with non-representative sampling, where a cohort had been used in another study, small sample size (< 100) and where gout could not be distinguished from other rheumatic conditions were excluded, as were reviews, editorials and comments. Where possible meta-analysis was performed using random-effect models. Twenty-six studies comprising 949,773 gout patients were included in the review. Pooled prevalence estimates were calculated for five cardiovascular diseases: myocardial infarction (2.8%; 95% confidence interval (CI)s 1.6, 5.0), heart failure (8.7%; 95% CI 2.9, 23.8), venous thromboembolism (2.1%; 95% CI 1.2, 3.4), cerebrovascular accident (4.3%; 95% CI 1.8, 9.7) and hypertension (63.9%; 95% CI 24.5, 90.6). Sixteen studies reported comparisons with non-gout controls, illustrating an increased risk in the gout group across all cardiovascular diseases. There were no identifiable reliable patterns when analysing the results by country. Cardiovascular diseases are more prevalent in patients with gout and should prompt vigilance from clinicians to the need to assess and stratify cardiovascular risk. Future research is needed to investigate the link between gout, hyperuricaemia and increased cardiovascular risk and also to establish a more thorough picture of prevalence for less common cardiovascular diseases.


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