Systems biology in cardiovascular disease: a multiomics approach
Omics techniques generate large, multidimensional data that are amenable to analysis by
new informatics approaches alongside conventional statistical methods. Systems theories …
new informatics approaches alongside conventional statistical methods. Systems theories …
Targeting cardiovascular inflammation: next steps in clinical translation
Systemic vascular inflammation plays multiple maladaptive roles which contribute to the
progression and destabilization of atherosclerotic cardiovascular disease (ASCVD). These …
progression and destabilization of atherosclerotic cardiovascular disease (ASCVD). These …
[HTML][HTML] A knowledge graph to interpret clinical proteomics data
Implementing precision medicine hinges on the integration of omics data, such as
proteomics, into the clinical decision-making process, but the quantity and diversity of …
proteomics, into the clinical decision-making process, but the quantity and diversity of …
Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease
Complex diseases, such as coronary artery disease (CAD), are often multifactorial, caused
by multiple underlying pathological mechanisms. Here, to study the multifactorial nature of …
by multiple underlying pathological mechanisms. Here, to study the multifactorial nature of …
Human cardiac organoids for the modelling of myocardial infarction and drug cardiotoxicity
DJ Richards, Y Li, CM Kerr, J Yao, GC Beeson… - Nature biomedical …, 2020 - nature.com
Environmental factors are the largest contributors to cardiovascular disease. Here we show
that cardiac organoids that incorporate an oxygen-diffusion gradient and that are stimulated …
that cardiac organoids that incorporate an oxygen-diffusion gradient and that are stimulated …
Senescence mechanisms and targets in the heart
Cellular senescence is a state of irreversible cell cycle arrest associated with ageing.
Senescence of different cardiac cell types can direct the pathophysiology of cardiovascular …
Senescence of different cardiac cell types can direct the pathophysiology of cardiovascular …
[HTML][HTML] Longevity leap: mind the healthspan gap
A Garmany, S Yamada, A Terzic - NPJ Regenerative Medicine, 2021 - nature.com
Life expectancy has increased by three decades since the mid-twentieth century. Parallel
healthspan expansion has however not followed, largely impeded by the pandemic of …
healthspan expansion has however not followed, largely impeded by the pandemic of …
[HTML][HTML] Image-based cardiac diagnosis with machine learning: a review
C Martin-Isla, VM Campello, C Izquierdo… - Frontiers in …, 2020 - frontiersin.org
Cardiac imaging plays an important role in the diagnosis of cardiovascular disease (CVD).
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …
A heart‐breast cancer‐on‐a‐chip platform for disease modeling and monitoring of cardiotoxicity induced by cancer chemotherapy
Cardiotoxicity is one of the most serious side effects of cancer chemotherapy. Current
approaches to monitoring of chemotherapy‐induced cardiotoxicity (CIC) as well as model …
approaches to monitoring of chemotherapy‐induced cardiotoxicity (CIC) as well as model …
Discovery of distinct immune phenotypes using machine learning in pulmonary arterial hypertension
Rationale: Accumulating evidence implicates inflammation in pulmonary arterial
hypertension (PAH) and therapies targeting immunity are under investigation, although it …
hypertension (PAH) and therapies targeting immunity are under investigation, although it …