Recent Advances in Metabolomics and Applications in Chronic Diseases
A special issue of Pathophysiology (ISSN 1873-149X).
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 16919
Special Issue Editors
Interests: metabolomics; autoimmune diseases; chronic diseases; insulin resistance; oxidative stress; microbiome; micronutrient deficiencies; precision medicine
Interests: metabolomics, chronic diseases, Hashimoto’s disease, psoriasis, organic acids, fatty acids, GC-MS, inflammation, biomarkers, predictive modelling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metabolomics, the comprehensive study of metabolites, has emerged as a novel tool of Precision Medicine to identify predictive biomarkers, patient stratification, selection and optimization of treatment and real-time monitoring of overall health. Metabolites are the end products of the genetic information flow, reflecting the cellular state and function in response to gene expression and non-genetic stimuli that shape the phenotype. In the last years, it is becoming apparent that chronic diseases or non-communicable diseases are mostly caused by non-genetic factors. Therefore, metabolomics has gained increasing scientific attention as a tool to investigate the metabolic background of chronic diseases and identify potential biomarkers. Insulin resistance, inflammation and oxidative stress are known intermediate metabolic risk factors of chronic diseases. Thus, a closer look at the metabolic networks associated with these factors would deepen our knowledge of the etiology of chronic diseases. Also, mapping the disturbed metabolic networks of chronic diseases through case-control and longitudinal studies will help identify predictive biomarkers and the development of risk calculators.
For this special issue, we invite original research and review articles focused on the metabolic background of chronic diseases evaluated using metabolomic techniques. Besides, we seek submissions stressing the challenges and future perspectives regarding the application of metabolomics in clinical practice. With this special issue, we aim to address key biological questions regarding the etiology of chronic diseases, highlight innovative findings on the metabolic disturbances of chronic diseases and critically discuss the next step towards integrating metabolomics into clinical practice.
We are looking forward to your contributions to this Special Issue.
Prof. Dr. Dimitris TsoukalasMs Evangelia Sarandi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Pathophysiology is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Metabolomics
- chronic diseases
- metabolic network
- insulin resistance
- oxidative stress
- inflammation
- biomarkers
- clinical practice
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