MIKB: A manually curated and comprehensive knowledge base for myocardial infarction

Zhan, Chaoying; Zhang, Yingbo; Liu, Xingyun; Zhang, Ke; Shi, Wenjing; Shen, Li; Shen, Ke; Fan, Xuemeng; Ye, Fei; Shen, Bairong

doi:10.1016/j.csbj.2021.11.011

Cited by 4 publications

(3 citation statements)

References 62 publications

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“…Table 3 presents a series of databases and knowledge bases available for integrating multi-omics data of MI. Among these, the CVD Knowledge Portal (CVDKP) ( 351 ), MI Knowledge Base (MIKB) ( 10 ), and HeartBioPortal ( 352 ) concentrate on multi-omics data pertaining to CVDs and MI, providing robust support for cardiovascular research. The Genome-Wide Association Study (GWAS) Catalog standardizes genomic association study data, streamlining analyses of genetic variations linked to traits ( 353 ).…”

Section: Databases and Online Tools For Multi-omics Integrative Analysesmentioning

confidence: 99%

“…Diseases, including MI, are now understood more comprehensively at various molecular levels, including genomics, epigenetics, transcriptomics, proteomics, metabolomics, etc. MI is a complex disease caused by environmental and genetic factors, and its various subtypes exhibit different pathogenesis and prognoses (10). While some progress has been made in single-omics studies of MI over the past few decades, the pathogenesis of MI remains unclear.…”

Section: Introductionmentioning

confidence: 99%

“…MI is a complex disease caused by environmental and genetic factors, and its various subtypes exhibit different pathogenesis and prognoses ( 10 ). While some progress has been made in single-omics studies of MI over the past few decades, the pathogenesis of MI remains unclear.…”

Section: Introductionmentioning

confidence: 99%

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From multi-omics approaches to personalized medicine in myocardial infarction

Zhan,

Tang,

et al. 2023

Front. Cardiovasc. Med.

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Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe complications such as arrhythmia, cardiac rupture, heart failure, and sudden death. Despite being a research hotspot, the etiological mechanism of MI remains unclear. The emergence and widespread use of omics technologies, including genomics, transcriptomics, proteomics, metabolomics, and other omics, have provided new opportunities for exploring the molecular mechanism of MI and identifying a large number of disease biomarkers. However, a single-omics approach has limitations in understanding the complex biological pathways of diseases. The multi-omics approach can reveal the interaction network among molecules at various levels and overcome the limitations of the single-omics approaches. This review focuses on the omics studies of MI, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and other omics. The exploration extended into the domain of multi-omics integrative analysis, accompanied by a compilation of diverse online resources, databases, and tools conducive to these investigations. Additionally, we discussed the role and prospects of multi-omics approaches in personalized medicine, highlighting the potential for improving diagnosis, treatment, and prognosis of MI.

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Section: Databases and Online Tools For Multi-omics Integrative Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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From multi-omics approaches to personalized medicine in myocardial infarction

Zhan,

Tang,

et al. 2023

Front. Cardiovasc. Med.

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Myocardial infarction unveiled: Key miRNA players screened by a novel lncRNA-miRNA-mRNA network model

Zhan

Zhang

et al. 2023

Computers in Biology and Medicine

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PPCRKB: a risk factor knowledge base of postoperative pulmonary complications

Duan,

Li,

Shao

et al. 2024

Database

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Postoperative pulmonary complications (PPCs) are highly heterogeneous disorders with diverse risk factors frequently occurring after surgical interventions, resulting in significant financial burdens, prolonged hospitalization and elevated mortality rates. Despite the existence of multiple studies on PPCs, a comprehensive knowledge base that can effectively integrate and visualize the diverse risk factors associated with PPCs is currently lacking. This study aims to develop an online knowledge platform on risk factors for PPCs (Postoperative Pulmonary Complications Risk Factor Knowledge Base, PPCRKB) that categorizes and presents the risk and protective factors associated with PPCs, as well as to facilitate the development of individualized prevention and management strategies for PPCs based on the needs of each investigator. The PPCRKB is a novel knowledge base that encompasses all investigated potential risk factors linked to PPCs, offering users a web-based platform to access these risk factors. The PPCRKB contains 2673 entries, 915 risk factors that have been categorized into 11 distinct groups. These categories include habit and behavior, surgical factors, anesthetic factors, auxiliary examination, environmental factors, clinical status, medicines and treatment, demographic characteristics, psychosocial factors, genetic factors and miscellaneous factors. The PPCRKB holds significant value for PPC research. The inclusion of both quantitative and qualitative data in the PPCRKB enhances the ability to uncover new insights and solutions related to PPCs. It could provide clinicians with a more comprehensive perspective on research related to PPCs in future. Database URL: http://sysbio.org.cn/PPCs

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MIKB: A manually curated and comprehensive knowledge base for myocardial infarction

Abstract: Graphical abstract

Cited by 4 publications

References 62 publications

From multi-omics approaches to personalized medicine in myocardial infarction

From multi-omics approaches to personalized medicine in myocardial infarction

Myocardial infarction unveiled: Key miRNA players screened by a novel lncRNA-miRNA-mRNA network model

PPCRKB: a risk factor knowledge base of postoperative pulmonary complications

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