Metabolomics in Disease Mechanisms and Drug Targets

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Metabolomic Profiling Technology".

Deadline for manuscript submissions: 15 July 2024 | Viewed by 2010

Special Issue Editor

Faculty of Applied Sciences, Macao Polytechnic University, Macau, Macao
Interests: artificial intelligence-empowered metabolomics and exposomics analysis and its application in understanding complex diseases and identifying novel drug targets

Special Issue Information

Dear Colleagues,

Metabolomics, a distinct and comprehensive top–down methodology, offers profound insights into intricate systems, with its profiles encapsulating the phenotypic manifestations of cellular reactions to physiological, pathophysiological stimuli, and epigenetic alterations. Through quantitative profiling of the metabolome, we can glean mechanistic insights into a myriad of biological functions and processes. Recent advancements in metabolomic analysis have propelled us towards a fresh understanding of the intricate mechanisms underlying complex metabolic diseases. Furthermore, metabolomics can illuminate potential new targets for therapeutic intervention by pinpointing pathological metabolic shifts, particularly those involving enzymes that exhibit increased flux during disease progression. The successful clinical development of therapies targeting these novel entities has heightened interest and appreciation of the value of metabolomics as a strategy for drug target identification. However, numerous challenges remain to be addressed, including understanding the connectivity and interactions among metabolites, elucidating complex disease mechanisms, and pinpointing appropriate drug targets.

In light of these considerations, this Special Issue is dedicated to the exploration of metabolomics in the context of disease mechanisms and drug target identification. We invite original research articles and comprehensive reviews that illuminate the role of metabolomics in disease mechanism elucidation and drug target discovery, with a particular focus on innovative strategies and methodologies to overcome existing challenges.

Dr. Kefeng Li
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. Metabolites 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 2700 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
  • disease mechanism
  • drug target
  • biomarker
  • disease prediction

Published Papers (1 paper)

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Review

19 pages, 2507 KiB  
Review
Metabolic Connectome and Its Role in the Prediction, Diagnosis, and Treatment of Complex Diseases
by Weiyu Meng, Hongxin Pan, Yuyang Sha, Xiaobing Zhai, Abao Xing, Sai Sachin Lingampelly, Srinivasa R. Sripathi, Yuefei Wang and Kefeng Li
Metabolites 2024, 14(2), 93; https://doi.org/10.3390/metabo14020093 - 26 Jan 2024
Viewed by 1650
Abstract
The interconnectivity of advanced biological systems is essential for their proper functioning. In modern connectomics, biological entities such as proteins, genes, RNA, DNA, and metabolites are often represented as nodes, while the physical, biochemical, or functional interactions between them are represented as edges. [...] Read more.
The interconnectivity of advanced biological systems is essential for their proper functioning. In modern connectomics, biological entities such as proteins, genes, RNA, DNA, and metabolites are often represented as nodes, while the physical, biochemical, or functional interactions between them are represented as edges. Among these entities, metabolites are particularly significant as they exhibit a closer relationship to an organism’s phenotype compared to genes or proteins. Moreover, the metabolome has the ability to amplify small proteomic and transcriptomic changes, even those from minor genomic changes. Metabolic networks, which consist of complex systems comprising hundreds of metabolites and their interactions, play a critical role in biological research by mediating energy conversion and chemical reactions within cells. This review provides an introduction to common metabolic network models and their construction methods. It also explores the diverse applications of metabolic networks in elucidating disease mechanisms, predicting and diagnosing diseases, and facilitating drug development. Additionally, it discusses potential future directions for research in metabolic networks. Ultimately, this review serves as a valuable reference for researchers interested in metabolic network modeling, analysis, and their applications. Full article
(This article belongs to the Special Issue Metabolomics in Disease Mechanisms and Drug Targets)
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