New Advances in Metabolic Diseases Diagnostics and Treatment: From Basic Research to Clinical Practice

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Clinical Medicine, Cell, and Organism Physiology".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1129

Special Issue Editor


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Guest Editor
Department of Biochemistry and Human Biology, Faculty of Pharmacy, University of Lisbon, Lisbon, Portugal
Interests: mitochondrial metabolism; inherited metabolic disorders; metabolic disorders; biomarkers; metabolomics; drug metabolism; liver disease; steatosis; NAFLD; hepatotoxicity; metabolic dysfunction-associated fatty liver disease (MAFLD)

Special Issue Information

Dear Colleagues,

Our understanding of pathophysiological, metabolism-driven mechanisms is incomplete, especially when multifactorial causes of complex diseases are involved. For Inherited Metabolic Diseases, where a genetic cause underlies the clinical phenotype, the science has evolved markedly during recent decades, and lessons from these rare disorders should be considered in the investigation of common metabolic diseases.

Our goal is to spotlight novel advances in the field of genetic or non-genetic Metabolic Disorders, covering aspects that may range from basic research to clinical diagnosis and monitoring. We hope that reporting new hypotheses and observations may allow researchers to integrate the metabolic processes involving proteins (amino acids), carbohydrates (sugars), or lipids (fatty acids). The regulation of mitochondrial function and bioenergetics, metabolites transport across membranes, intracellular communication, post-translational modifications of proteins, and enzyme activity are crucial in biosynthesis versus degradation pathways. The roles of dietary components or specific small molecules in prevention and/or pathogenesis are also significant. Original research articles and reviews reporting innovations in biomarkers assessments using human samples, human tissues or digital technologies, cell-based assays or models of metabolic disease are encouraged. Comprehensive tools and technologies focusing on metabolomics, proteomics, lipidomics, and multi-omics or multi-modal approaches are of particular interest.

These multiple perspectives will certainly contribute to inspire drug development and better treatment strategies and personalized medicines or ultimately to underline their importance of controlling metabolic diseases fostering a healthier life.

Dr. Margarida F. B. Silva
Guest Editor

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. Journal of Personalized Medicine is an international peer-reviewed open access monthly 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 2600 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

  • metabolic disease
  • inherited metabolic disease
  • mitochondrial metabolism
  • metabolomics
  • multi-omics
  • biomarkers

Published Papers (1 paper)

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Research

12 pages, 1155 KiB  
Article
Role of FGF21 and Leptin for the Diagnosis of Metabolic Health in Children with and without Obesity
by Eleni M. Domouzoglou, Antonios P. Vlahos, Michail I. Papafaklis, Vasileios K. Cholevas, Nikolaos Chaliasos, Ekaterini Siomou, Lampros K. Michalis, Agathocles Tsatsoulis and Katerina K. Naka
J. Pers. Med. 2023, 13(12), 1680; https://doi.org/10.3390/jpm13121680 - 03 Dec 2023
Viewed by 904
Abstract
Obesity and unfavorable metabolic profiles increase the risk for cardiovascular complications in adults. Although it is important to distinguish different metabolic health states at an early stage, there are limited data on the related value of biomarkers in childhood. We aimed to identify [...] Read more.
Obesity and unfavorable metabolic profiles increase the risk for cardiovascular complications in adults. Although it is important to distinguish different metabolic health states at an early stage, there are limited data on the related value of biomarkers in childhood. We aimed to identify biomarkers for the detection of different metabolic health states in children with and without obesity. The serum levels of metabolic regulators (fibroblast growth factor 21 [FGF21], leptin, adiponectin and insulin-like growth factor binding protein 1) and vascular indices (flow-mediated dilation [FMD] and carotid intima-media thickness) were assessed in 78 children. Differences between the metabolically healthy and unhealthy state within children with normal weight (MHN vs. MUN), and within children with overweight/obesity (MHO vs. MUO) were investigated; the discriminatory power of the biomarkers was studied. Both MUN and MUO groups expressed altered lipid and glucose homeostasis compared to their healthy counterparts. The metabolic unhealthy state in children with normal weight was linked to higher FGF21 levels which had good discriminatory ability (area under the curve [AUC]: 0.71, 95% CI: 0.54–0.88; p = 0.044). In overweight/obese children, leptin was increased in the metabolically unhealthy subgroup (AUC: 0.81, 95% CI: 0.68–0.95; p = 0.01). There was a decrease in FMD indicating worse endothelial function in overweight/obese children versus those with normal weight. Distinct states of metabolic health exist in both children with normal weight and overweight/obese children. FGF21 and leptin may help to identify the metabolic unhealthy state in children with normal weight and in overweight/obese children, respectively, early in life. Full article
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