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Metabolites
Special Issues
Lipid Signaling, Therapeutics and Controlled-Release
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Lipid Signaling, Therapeutics and Controlled-Release

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Lipid Metabolism".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 2867

Special Issue Editors

Prof. Dr. Wen-Lung Ma

E-Mail Website
Guest Editor
Graduate Institute of Biomedical Sciences, China Medical University, Taichung 406040, Taiwan
Interests: lipidome; lipoproteins; cancer biology; liposome-based nanoparticle drug
Dr. Hung-Yu Sun

E-Mail Website
Guest Editor
Department of Physiology, College of Medicine, National Cheng Kung University, Tainan City 701, Taiwan
Interests: lipoprotein; metabolic-associated fatty liver disease; chronic kidney disease; lipid metabolism; redox homeostasis; liver–kidney axis

Special Issue Information

Dear Colleagues,

The International Conference on the Bioscience of Lipids (ICBL) is the foremost academic forum in the world today for the presentation and discussion of the latest developments and discoveries regarding the chemical, biological, nutritional, and clinical aspects of lipids. Founded by Nobel Laureates Sune Bergström, Christian de Duve, and Konrad Bloch, the spirit of the ICBL is to provide a friendly and intellectually stimulating environment where the latest discoveries and ideas on lipid science can be freely discussed and young and established researchers alike can gather to build new collaborations and long-lasting friendships.

As ICBL (International Conference on the Bioscience of Lipids) 2024 academic committee members, Dr Ma and Dr Sun have jointly decided to organize this Special Issue to collect the most important and up-to-date findings presented at the conference.

This year, the conference will comprise the following six sessions. These themes cover a wide spectrum of biomedical sciences.

  1. Advances of Lipidomics;
  2. From Lipid to Biomarker;
  3. Disorders in the Lipid Metabolism: Mechanism and Solution;
  4. Lipid Diversity and Evolution;
  5. Lipids in Clinical and Translational Research;
  6. Lipids in Immunology.

Undoubtedly, studies relating to lipid signals in physiology and pathology are increasing as targeting these signals might benefit the health industry. This targeting strategy could also feature lipids themselves: for instance, liposome-based nanoparticle (LNP) controlled-release drug delivery technologies have been a hot and fast-developing topic in current biotechnology.

Prof. Dr. Wen-Lung Ma
Dr. Hung-Yu Sun
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. 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

  • lipid signaling
  • therapeutics
  • controlled release

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Published Papers (2 papers)

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Research

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17 pages, 10755 KiB  
Article
Reduction of Dietary Fat Rescues High-Fat Diet-Induced Depressive Phenotypes and the Associated Hippocampal Astrocytic Deficits in Mice
by Kai-Pi Cheng, Hsin-Hao Chao, Chin-Ju Hsu, Sheng-Feng Tsai, Yen-Ju Chiu, Yu-Min Kuo and Yun-Wen Chen
Metabolites 2025, 15(7), 485; https://doi.org/10.3390/metabo15070485 - 18 Jul 2025
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Abstract
Background/Objectives: Depression is frequently comorbid with obesity. We previously showed that astrocyte-mediated hyperactive ventral hippocampal glutamatergic afferents to the nucleus accumbens determined the exhibition of depression-like behaviors in obese murine models. However, it remains unclear if the metabolic disorder-induced depressive phenotypes and astrocytic [...] Read more.
Background/Objectives: Depression is frequently comorbid with obesity. We previously showed that astrocyte-mediated hyperactive ventral hippocampal glutamatergic afferents to the nucleus accumbens determined the exhibition of depression-like behaviors in obese murine models. However, it remains unclear if the metabolic disorder-induced depressive phenotypes and astrocytic maladaptation in the ventral hippocampus (vHPC) could be reversed following the amelioration of key metabolic impairments such as insulin resistance and dyslipidemia. Method: Male mice were fed a high-fat diet (HFD) for 12 weeks, followed by either continued HFD feeding (HFD/HFD group) or a switch to a standard diet for 4 weeks (HFD/SD group). Results: Results showed that HFD/HFD mice displayed not only glucose/lipid metabolic dysfunction, but also depression-like behaviors. In contrast, HFD/SD mice showed improvements in metabolic disorders and depressive phenotypes. Mechanistically, dietary fat reduction restored astrocyte morphology and glutamate transporter expression (GLT-1, GLAST) in the vHPC and suppressed neuroinflammatory signaling, as evidenced by reduced levels of phospho-IKK, TNF-α, IL-1β, and IL-6 in the vHPC. Conclusions: These findings suggest that dietary fat reduction reverses obesity-induced depressive phenotypes, astrocytic deficits, at least in part via suppression of neuroinflammation through the NF-κB signaling pathway. Full article
(This article belongs to the Special Issue Lipid Signaling, Therapeutics and Controlled-Release)
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Review

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23 pages, 5163 KiB  
Review
Target Bioconjugation of Protein Through Chemical, Molecular Dynamics, and Artificial Intelligence Approaches
by Sk Jahir Abbas, Sabina Yesmin, Sandeepa K. Vittala, Nayim Sepay, Fangfang Xia, Sk Imran Ali, Wei-Chun Chang, Yao-Ching Hung and Wen-Lung Ma
Metabolites 2024, 14(12), 668; https://doi.org/10.3390/metabo14120668 - 2 Dec 2024
Viewed by 2138
Abstract
Covalent modification of proteins at specific, predetermined sites is essential for advancing biological and biopharmaceutical applications. Site-selective labeling techniques for protein modification allow us to effectively track biological function, intracellular dynamics, and localization. Despite numerous reports on modifying target proteins with functional chemical [...] Read more.
Covalent modification of proteins at specific, predetermined sites is essential for advancing biological and biopharmaceutical applications. Site-selective labeling techniques for protein modification allow us to effectively track biological function, intracellular dynamics, and localization. Despite numerous reports on modifying target proteins with functional chemical probes, unique organic reactions that achieve site-selective integration without compromising native functional properties remain a significant challenge. In this review, we delve into site-selective protein modification using synthetic probes, highlighting both chemical and computational methodologies for chemo- and regioselective modifications of naturally occurring amino acids, as well as proximity-driven protein-selective chemical modifications. We also underline recent traceless affinity labeling strategies that involve exchange/cleavage reactions and catalyst tethering modifications. The rapid development of computational infrastructure and methods has made the bioconjugation of proteins more accessible, enabling precise predictions of structural changes due to protein modifications. Hence, we discuss bioconjugational computational approaches, including molecular dynamics and artificial intelligence, underscoring their potential applications in enhancing our understanding of cellular biology and addressing current challenges in the field. Full article
(This article belongs to the Special Issue Lipid Signaling, Therapeutics and Controlled-Release)
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