Cardiomyopathy and Precision Medicine 2nd Edition

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".

Deadline for manuscript submissions: 25 December 2024 | Viewed by 1052

Special Issue Editor


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Guest Editor
Department of Cardiology, National Defense Medical College, Tokorozawa, Saitama, Japan
Interests: heart failure; cardiomyopathy; autoimmunity; microbitoa; biomarkers; genetic testing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The diagnosis of the most common forms of cardiomyopathies, dilated and hypertrophic cardiomyopathies, have long been based on morphology and function by non-invasive diagnostic modalities (e.g., echocardiography). In addition, despite extensive studies on biophysical, cellular, and animal models, the current approaches to the management of patients with cardiomyopathies remain largely unchanged.

Recent advances in genetics, proteomics, metabolomics, and microbiomics have broadened our understanding of the molecular and cellular pathophysiology of cardiovascular diseases including cardiomyopathies, which can potentially lead to more precise risk prediction and the discovery of optimal treatment strategies for individual patients. Also, novel approaches, such as artificial intelligence and machine learning to medical big data from various sources including clinical registries, electronic health records, biomarkers, medical images, and all spectrum of ‘omics’ data (e.g., genomic, proteomic, and metabolomic data), have huge potential for empowering personalized medicine for cardiomyopathy patients.

This Special Issue of the Journal of Personalized Medicine aims to highlight the current knowledge and future perspectives in the potential analytic approaches leading to personalized medicine for cardiomyopathies.

Dr. Yuji Nagatomo
Guest Editor

Manuscript Submission Information

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Keywords

  • cardiomyopathy
  • personalized medicine
  • genetics
  • proteomics
  • metabolomics
  • microbiomics
  • genome-wide association study
  • single-nucleotide polymorphism
  • artificial intelligence
  • machine learning

Published Papers (1 paper)

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Research

10 pages, 725 KiB  
Article
The Association of M235T Genetic Polymorphism in Angiotensinogen Gene and Other Non-Genetic Factors with Essential Hypertension among Jordanian Patients
by Hussein Alhawari, Yazun Jarrar, Malek Zihlif, Ayman Wahbeh, Sameeha Alshelleh, Ruba Alhabahbeh and Dalia Abdelrazaq
J. Pers. Med. 2024, 14(3), 273; https://doi.org/10.3390/jpm14030273 - 29 Feb 2024
Viewed by 883
Abstract
Background: Hypertension, characterized by elevated pressure, poses a significant health risk. Recent studies in Jordan highlight high hypertension rates, emphasizing the need for genetic investigations to comprehend essential hypertension determinants. The AGT gene, part of the Renin Angiotensin System, is linked to blood [...] Read more.
Background: Hypertension, characterized by elevated pressure, poses a significant health risk. Recent studies in Jordan highlight high hypertension rates, emphasizing the need for genetic investigations to comprehend essential hypertension determinants. The AGT gene, part of the Renin Angiotensin System, is linked to blood pressure regulation. Limited information exists on the frequency of this polymorphism among Jordanian hypertensive patients. Aims: This study explores the association between the AGT M235T polymorphism and essential hypertension in Jordan. Methods: A cross-sectional study with 435 participants (199 hypertensive, 236 non-hypertensive) was conducted at the University of Jordan Hospital. Blood pressure was measured, and genetic analysis of the AGT M235T polymorphism was completed using the PCR-RFLP technique. Chi-square and t-tests were used for comparisons using SPSS software. Results: Hypertensive patients exhibited significantly higher weight, BMI, and blood pressure. Genotyping results showed no significant difference (p > 0.05, Chi-square) in AGT M235T polymorphism distribution between control and patient groups. In addition, allele frequencies showed comparable patterns (p > 0.05, Chi-square). All genotype frequencies showed no deviation from the Hardy–Weinberg equation (p > 0.05, Chi-square). Conclusions: The AGT M235T genetic polymorphism is not more prevalent among hypertensive patients in Jordan, although the average weight and BMI among hypertensive patients is higher than the non-hypertensive participants. Obesity can be addressed as a potential risk factor for essential hypertension in Jordan. In addition, it is recommended to find out the influence of the AGT M235T genetic polymorphism on the response of antihypertensive drugs among hypertensive patients in Jordan. Full article
(This article belongs to the Special Issue Cardiomyopathy and Precision Medicine 2nd Edition)
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