Heart Diseases
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Biology Open ◽  
2021 ◽  
Vol 10 (9) ◽  

ABSTRACT First Person is a series of interviews with the first authors of a selection of papers published in Biology Open, helping early-career researchers promote themselves alongside their papers. Tania Martins-Marques is first author on ‘ Connecting different heart diseases through intercellular communication’, published in BiO. Tania is a postdoc in the Faculty of Medicine, at Coimbra Institute for Clinical and Biomedical Research (iCBR), Portugal, investigating the impact of impact of proteostasis and intercellular communication derailment in cardiac diseases.

Richard Y. Cao ◽  
Yuntao Zheng ◽  
Ying Zhang ◽  
Lingling Jiang ◽  
Qing Li ◽  

Berberine is an alkaloid from several medicinal plants originally used to treat diarrhea and dysentery as a traditional Chinese herbal medicine. In recent years, berberine has been discovered to exhibit a wide spectrum of biological activities in the treatment of diverse diseases ranging from cancer and neurological dysfunctions to metabolic disorders and heart diseases. This review article summarizes the clinical practice and laboratory exploration of berberine for the treatment of cardiometabolic and heart diseases, with a focus on the novel insights and recent advances of the underlying mechanisms recognized in the past decade. Berberine was found to display pleiotropic therapeutic effects against dyslipidemia, hyperglycemia, hypertension, arrhythmia, and heart failure. The mechanisms of berberine for the treatment of cardiometabolic disease involve combating inflammation and oxidative stress such as inhibiting proprotein convertase subtilisin/kexin 9 (PCSK9) activation, regulating electrical signals and ionic channels such as targeting human ether-a-go-go related gene (hERG) currents, promoting energy metabolism such as activating adenosine monophosphate-activated protein kinase (AMPK) signaling pathway, modifying gut microbiota to promote transforming of berberine into its intestine-absorbable form, and interacting with non-coding RNAs via targeting multiple signaling pathways such as AMPK, mechanistic target of rapamycin (mTOR), etc. Collectively, berberine appears to be safe and well-tolerated in clinical practice, especially for those who are intolerant to statins. Knowledge from this field may pave the way for future development of more effective pharmaceutical approaches for managing cardiometabolic risk factors and preventing heart diseases.

2021 ◽  
Vol 26 (8) ◽  
pp. 4580
O. B. Irtyuga ◽  
E. G. Malev ◽  
M. L. Gordeev

Valvular heart disease is widespread among general population, mainly in older age groups, who often require noncardiac surgery. As the population ages, the significance of this problem will only increase. The basic principles of perioperative managing such patients by a multidisciplinary team, necessarily including a cardiologist, are systematized and set out in international clinical guidelines, which are regularly updated. Currently, the Russian Society of Cardiology guidelines on management of valvular heart diseases are being prepared for publication. However, specifics of assessment and management of patients when planning noncardiac surgery require more detailed presentation for a cardiology practitioner.

2021 ◽  
Vol 9 ◽  
Cian M. Scannell ◽  
Hadeer Hasaneen ◽  
Gerald Greil ◽  
Tarique Hussain ◽  
Reza Razavi ◽  

Background: Myocardial ischemia occurs in pediatrics, as a result of both congenital and acquired heart diseases, and can lead to further adverse cardiac events if untreated. The aim of this work is to assess the feasibility of fully automated, high resolution, quantitative stress myocardial perfusion cardiac magnetic resonance (CMR) in a cohort of pediatric patients and to evaluate its agreement with the coronary anatomical status of the patients.Methods: Fourteen pediatric patients, with 16 scans, who underwent dual-bolus stress perfusion CMR were retrospectively analyzed. All patients also had anatomical coronary assessment with either CMR, CT, or X-ray angiography. The perfusion CMR images were automatically processed and quantified using an analysis pipeline previously developed in adults.Results: Automated perfusion quantification was successful in 15/16 cases. The coronary perfusion territories supplied by vessels affected by a medium/large aneurysm or stenosis (according to the AHA guidelines), induced by Kawasaki disease, an anomalous origin, or interarterial course had significantly reduced myocardial blood flow (MBF) (median (interquartile range), 1.26 (1.05, 1.67) ml/min/g) as compared to territories supplied by unaffected coronaries [2.57 (2.02, 2.69) ml/min/g, p < 0.001] and territories supplied by vessels with a small aneurysm [2.52 (2.45, 2.83) ml/min/g, p = 0.002].Conclusion: Automatic CMR-derived MBF quantification is feasible in pediatric patients, and the technology could be potentially used for objective non-invasive assessment of ischemia in children with congenital and acquired heart diseases.

Diego B. Ortega-Zhindón ◽  
Juan Calderón-Colmenero ◽  
José A. García-Montes ◽  
Frida Rivera-Buendía ◽  
Jorge L. Cervantes-Salazar

Severe acute respiratory syndrome coronavirus 2, the etiologic agent of coronavirus disease 2019, has caused more than 160 million infections globally. The experience of our department showed that the execution of a strict surgery protocol, universal severe acute respiratory syndrome coronavirus 2 screening, surgical prioritization, and an orderly reactivation of the cardiac surgery program is a feasible way to keep congenital heart diseases surgery program.

Asadullah ◽  
Aziz Ud Din ◽  
Sajid Ul Ghafoor ◽  
Fazal Akbar ◽  
Naveed Akhtar ◽  

2021 ◽  
pp. 107651
Ali A. Samir ◽  
Abdullah R. Rashwan ◽  
Karam M. Sallam ◽  
Ripon K. Chakrabortty ◽  
Michael J. Ryan ◽  

Adyasha Rath ◽  
Debahuti Mishra ◽  
Ganapati Panda ◽  
Suresh Chandra Satapathy

2021 ◽  
pp. 1-18
Y. Wang ◽  
Y. M. Chu ◽  
Y. A. Khan ◽  
Z. Y. Khan ◽  
Q. Liu ◽  

This paper addressed the prediction of heart sicknesses from hazard elements through a decision-making tree. We introduced the facts mining technique in public fitness to extract high-degree knowledge from raw data, which facilitates predicting heart diseases from risk factors and their prevention. The existing work intends to introduce a new risk element in heart diseases using novel data mining strategies. Latest actual international affected person’s information (e.g., smoking, area of residence, age, weight, blood stress, chest pain, low-density lipoproteins (LDL), high-density lipoproteins (HDL), block arteries became accrued by way of the use of questionnaire through direct interview technique from patients. Novel two-variable decision trees are constructed for coronary heart illness records primarily based on chance factors and ranking of risk elements. The results show a correct prediction of cardiovascular disease (CVD) from the risk factor if records on chance factors are available as direct results of this study, tobacco, loss of physical exercise, and weight-reduction plan play a vital role in predicting heart diseases, which is the most important reason for mortality in developing countries, especially in my country.

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