Review Article
Pathology: A Review
| Kshitija Iyer* | |
| M.Sc Integrated Biotechnology, Vellore Institute of Technology, Vellore, Tamil Nadu, India | |
| *Corresponding Author : | Kshitija Iyer M.Sc Integrated Biotechnology Vellore Institute of Technology Vellore, Tamil Nadu 632014, India Tel: +04423760545 E-mail: kshiiyer@gmail.com |
| Received July 28, 2014; Accepted July 30, 2014; Published August 05, 2014 | |
| Citation: Iyer K (2014) Pathology: A Review. Biochem Physiol 3:R1001. doi:10.4172/2168-9652.R1001 | |
| Copyright: © 2014 Iyer K. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |
Abstract
A characteristic feature of the beginning of the XXI century medicine is that the achievement of bio-medical, diagnostic disciplines significantly outperforms progress to the clinic for the treatment of the most common diseases in the population. It atherosclerosis, diabetes, essential hypertension, and obesity, figuratively these diseases we call "metabolic pandemic". The frequency of these diseases in the populations of developed countries continues to increase, and all the efforts of clinicians and pharmaceutical companies do not produce the desired result, with the etiological factors are beginning to be better understood, which, however, cannot be said with regard to the pathogenesis. If the high expectations for the clinical use of genetics and genomics, have not justified, the possibility of metabolomics and proteomics are so great that their use in the diagnosis has not yet begun. We are not prepared to give the diagnostic interpretation of biochemical data in order to offer us the modern methods of physical chemistry, which at the same time, the concentration of dozens of proteins, substrates and metabolites. We cannot use the results of modern methods of diagnosis; we have no theoretical base - the modern theory of disease. It formed a large distance (gap) between the possibilities of the use of modern methods of research and its real application in the diagnosis of metabolic pandemics.
