Systems biology in cardiovascular disease: a multiomics approach

A Joshi, M Rienks, K Theofilatos, M Mayr - Nature Reviews Cardiology, 2021 - nature.com
Omics techniques generate large, multidimensional data that are amenable to analysis by
new informatics approaches alongside conventional statistical methods. Systems theories …

Targeting cardiovascular inflammation: next steps in clinical translation

PR Lawler, DL Bhatt, LC Godoy… - European heart …, 2021 - academic.oup.com
Systemic vascular inflammation plays multiple maladaptive roles which contribute to the
progression and destabilization of atherosclerotic cardiovascular disease (ASCVD). These …

[HTML][HTML] A knowledge graph to interpret clinical proteomics data

A Santos, AR Colaço, AB Nielsen, L Niu… - Nature …, 2022 - nature.com
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 …

Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease

Y Talmor-Barkan, N Bar, AA Shaul, N Shahaf… - Nature medicine, 2022 - nature.com
Complex diseases, such as coronary artery disease (CAD), are often multifactorial, caused
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 …

Senescence mechanisms and targets in the heart

MS Chen, RT Lee, JC Garbern - Cardiovascular Research, 2022 - academic.oup.com
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 …

[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 …

[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 …

A heart‐breast cancer‐on‐a‐chip platform for disease modeling and monitoring of cardiotoxicity induced by cancer chemotherapy

J Lee, S Mehrotra, E Zare‐Eelanjegh, RO Rodrigues… - Small, 2021 - Wiley Online Library
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 …

Discovery of distinct immune phenotypes using machine learning in pulmonary arterial hypertension

AJ Sweatt, HK Hedlin, V Balasubramanian… - Circulation …, 2019 - Am Heart Assoc
Rationale: Accumulating evidence implicates inflammation in pulmonary arterial
hypertension (PAH) and therapies targeting immunity are under investigation, although it …