Role of Metabolomics in Personalized Medicine

2015 ◽  
pp. 169-177
Author(s):  
Kewal K. Jain
Keyword(s):  
Personalized Medicine

scholarly journals The Role of Network Science in Glioblastoma

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1045
Author(s):  
Marta B. Lopes ◽  
Eduarda P. Martins ◽  
Susana Vinga ◽  
Bruno M. Costa
Keyword(s):  
Personalized Medicine ◽  
Drug Development ◽  
Information Flow ◽  
Clinical Studies ◽  
Network Science ◽  
Cancer Genomics ◽  
High Dimensional ◽  
Network Discovery ◽  
Software Implementations

Network science has long been recognized as a well-established discipline across many biological domains. In the particular case of cancer genomics, network discovery is challenged by the multitude of available high-dimensional heterogeneous views of data. Glioblastoma (GBM) is an example of such a complex and heterogeneous disease that can be tackled by network science. Identifying the architecture of molecular GBM networks is essential to understanding the information flow and better informing drug development and pre-clinical studies. Here, we review network-based strategies that have been used in the study of GBM, along with the available software implementations for reproducibility and further testing on newly coming datasets. Promising results have been obtained from both bulk and single-cell GBM data, placing network discovery at the forefront of developing a molecularly-informed-based personalized medicine.

Reaching Future Scientists, Consumers, & Citizens

2014 ◽  
Vol 76 (6) ◽  
pp. 379-383 ◽  
Author(s):  
Melissa A. Hicks ◽  
Rebecca J. Cline ◽  
Angela M. Trepanier
Keyword(s):  
Personalized Medicine ◽  
Genetic Basis ◽  
Genetic Disorders ◽  
Single Gene ◽  
Personal Health ◽  
Adult Onset ◽  
Biology Textbooks ◽  
Multifactorial Diseases ◽  
Single Gene Disorders

An understanding of how genomics information, including information about risk for common, multifactorial disease, can be used to promote personal health (personalized medicine) is becoming increasingly important for the American public. We undertook a quantitative content analysis of commonly used high school textbooks to assess how frequently the genetic basis of common multifactorial diseases was discussed compared with the “classic” chromosomal–single gene disorders historically used to teach the concepts of genetics and heredity. We also analyzed the types of conditions or traits that were discussed. We identified 3957 sentences across 11 textbooks that addressed multifactorial and “classic” genetic disorders. “Classic” gene disorders were discussed relatively more frequently than multifactorial diseases, as was their genetic basis, even after we enriched the sample to include five adult-onset conditions common in the general population. Discussions of the genetic or hereditary components of multifactorial diseases were limited, as were discussions of the environmental components of these conditions. Adult-onset multifactorial diseases are far more common in the population than chromosomal or single-gene disorders; many are potentially preventable or modifiable. As such, they are targets for personalized medical approaches. The limited discussion in biology textbooks of the genetic basis of multifactorial conditions and the role of environment in modifying genetic risk may limit the public’s understanding and use of personalized medicine.

scholarly journals The role of cytology in molecular testing and personalized medicine in lung cancer: A clinical perspective

2018 ◽  
Vol 127 (2) ◽  
pp. 72-78 ◽  
Author(s):  
Kelvin Young ◽  
Gilda da Cunha Santos ◽  
Paul Card ◽  
Natasha Leighl
Keyword(s):  
Lung Cancer ◽  
Personalized Medicine ◽  
Molecular Testing ◽  
Clinical Perspective ◽  
And Personalized Medicine

Pathogenesis as a problem of functional incompetence and imbalance in the population of T-lymphocytes

2021 ◽  
pp. 109-119
Author(s):  
Н.М. Геворкян ◽  
Н.В. Тишевская
Keyword(s):  
T Lymphocytes ◽  
Personalized Medicine ◽  
The Body ◽  
Lymphoid Cells ◽  
Human Diseases ◽  
Regulatory Role ◽  
Total Rna ◽  
Physiological Processes ◽  
Health And Disease

Цель обзора - анализ клеточной основы патогенеза различных заболеваний в свете регуляторной роли Т-лимфоцитов. Рассматривается роль поликлонального многообразия популяции Т-лимфоцитов, особых свойств этих клеток-представителей гомеостатической системы организма в физиологических процессах в норме и при патологии. Указаны перспективы терапевтического и профилактического воздействий, связанные с использованием суммарных РНК нормальных лимфоидных клеток аллогенной и ксеногенной природы. Указана также возможность создания с помощью лимфоцитарных суммарных РНК адекватных моделей заболеваний человека на пути к развитию персонифицированной медицины. This review provides an analysis of the cellular basis of the pathogenesis of various diseases in the light of the regulatory role of T-lymphocytes. The role of the polyclonal diversity of the population of T-lymphocytes, the special properties of these cells-representatives of the homeostatic system of the body, in physiological processes in health and disease is considered. Prospects for therapeutic and prophylactic effects associated with the use of total RNA of normal lymphoid cells of allogeneic and xenogenic origin are indicated. The possibility of creating, using lymphocytic total RNA, adequate models of human diseases for the development of personalized medicine is also indicated.

The Role of Genetic Data Analysis for Precision Therapy in Cancer

2021 ◽  
pp. 127-143
Author(s):  
Sunishtha Singh Yadav ◽  
Vandana Chauhan ◽  
Vijeta Singh ◽  
Svenja Kohler
Keyword(s):  
Personalized Medicine ◽  
Cancer Susceptibility ◽  
Metabolizing Enzymes ◽  
Specific Patient ◽  
Genome Wide ◽  
Radio Therapy ◽  
Precision Therapy ◽  
Drug Receptors ◽  
Genetic Data Analysis

Cancer has been known as a devastating disease that takes thousands of lives every year. And since this is a heterogenous disease, standard treatments, like chemotherapy, radiation, and chemo-radio therapy, are effective in specific patient population subset only. Genetic differences play a very crucial role in defining cancer susceptibility and also in determining the drug's efficacy by affecting regulation, expression, and activity of drug metabolizing enzymes, drug transporters, and drug receptors. This genetic variability of the disease lends itself to the emerging field of precision or personalized medicine. There are some specific ways of acquiring data for precision or personalized medicine approach like genome wide association scan (GWAS). This is basically identification and scanning of biomarkers throughout the complete DNA/genome of several individuals to study any type of genetic variations which are linked with any form of cancer.

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