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Metabolites
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Nutrition and Metabolism in Human Diseases 2nd Edition
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Nutrition and Metabolism in Human Diseases 2nd Edition

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

Deadline for manuscript submissions: 28 February 2025 | Viewed by 3394

Special Issue Editor

Dr. Xinhui Wang

E-Mail Website
Guest Editor
School of Medicine, Zhejiang University, Hangzhou 310058, China
Interests: nutrition; metabolism; trace elements; diabetes; aging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nutrition and metabolism are critical life-sustaining parts of human health. The nutritional and metabolic status profoundly affects the function and activity of the endocrine and immune systems. Malnutrition and the disruption of metabolic processes widely affect and exacerbate various health problems, including chronic diseases, infectious diseases, and death. On the contrary, interventions with specific nutrients or metabolites are effective in disease prevention and management. Many basic metabolic pathways are evolutionarily conserved due to their fundamental roles in vastly different species, which make it possible to use model organisms to study the interaction among nutrition, metabolism, and the pathological processes of diseases. Recent advances in nutritional evaluation, metabolic profiling, the establishment of animal models, and the development of novel analytical methods have provided insights into the basis of nutrition- and metabolism-related diseases. However, many theoretical and clinical issues remain to be explored. Therefore, for this Special Issue, we welcome high-quality original research papers and reviews in the fields of nutrition and metabolism.

We welcome submissions on research across various diseases, including obesity, diabetes, cardiovascular diseases, fatty liver disease, cancer, neurodegenerative diseases, autoimmune diseases, infectious diseases, and any other diseases related to nutrition and metabolism. The topics that will be covered include but are not limited to studies on the nutritional intervention for disease prevention and management, mechanisms of nutrient- and metabolite-regulated pathological processes, animal models for nutrition and disease, methodologies for the characterization of the metabolic status in disease, and causality between nutritional or metabolic factors and diseases.

Dr. Xinhui Wang
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

  • nutrition
  • metabolism
  • nutrient
  • metabolite
  • disease

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Published Papers (3 papers)

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Research

16 pages, 6097 KiB  
Article
Profiling of Metabolome in the Plasma Following a circH19 Knockdown Intervention in Diet-Induced Obese Mice
by Hanxin Zhao, Dike Shi, Weiwei Gui, Xihua Lin, Jionghuang Chen and Weihua Yu
Metabolites 2024, 14(11), 603; https://doi.org/10.3390/metabo14110603 - 8 Nov 2024
Viewed by 523
Abstract
The circular RNA circH19 has been implicated in the regulation of gene expression and various biological processes, including obesity. Objectives: This study aimed to elucidate the metabolic changes in plasma after circH19 knockdown in a diet-induced obese (DIO) mouse model. Methods: Plasma [...] Read more.
The circular RNA circH19 has been implicated in the regulation of gene expression and various biological processes, including obesity. Objectives: This study aimed to elucidate the metabolic changes in plasma after circH19 knockdown in a diet-induced obese (DIO) mouse model. Methods: Plasma samples were collected following the intervention and subjected to non-targeted metabolomics analysis using liquid chromatography–mass spectrometry (LC-MS). Metabolic profiling was performed to identify and quantify metabolites, followed by multivariate statistical analysis to discern differential metabolic signatures. Results: A total of 1250 features were quantified, resulting in the upregulation of 564 metabolites and the downregulation of 686 metabolites in the circH19 knockdown group compared to the control mice. Metabolic pathway analysis revealed disruptions in lipid metabolism, amino acid turnover, and energy production pathways. Notably, the intervention led to a substantial decrease in circulating lipids and alterations in the plasma amino acid profile, indicative of an impact on protein catabolism and anabolic processes. The observed shifts in lipid and amino acid metabolism suggest potential therapeutic avenues for obesity and related metabolic disorders. Conclusions: The circH19 knockdown in DIO mice led to significant alterations in plasma metabolites, highlighting its potential role in the regulation of obesity and metabolic disorders. Full article
(This article belongs to the Special Issue Nutrition and Metabolism in Human Diseases 2nd Edition)
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15 pages, 8732 KiB  
Article
Machine Learning-Based Plasma Metabolomics in Liraglutide-Treated Type 2 Diabetes Mellitus Patients and Diet-Induced Obese Mice
by Seokjae Park and Eun-Kyoung Kim
Metabolites 2024, 14(9), 483; https://doi.org/10.3390/metabo14090483 - 2 Sep 2024
Viewed by 880
Abstract
Liraglutide, a glucagon-like peptide-1 receptor agonist, is effective in the treatment of type 2 diabetes mellitus (T2DM) and obesity. Despite its benefits, including improved glycemic control and weight loss, the common metabolic changes induced by liraglutide and correlations between those in rodents and [...] Read more.
Liraglutide, a glucagon-like peptide-1 receptor agonist, is effective in the treatment of type 2 diabetes mellitus (T2DM) and obesity. Despite its benefits, including improved glycemic control and weight loss, the common metabolic changes induced by liraglutide and correlations between those in rodents and humans remain unknown. Here, we used advanced machine learning techniques to analyze the plasma metabolomic data in diet-induced obese (DIO) mice and patients with T2DM treated with liraglutide. Among the machine learning models, Support Vector Machine was the most suitable for DIO mice, and Gradient Boosting was the most suitable for patients with T2DM. Through the cross-evaluation of machine learning models, we found that liraglutide promotes metabolic shifts and interspecies correlations in these shifts between DIO mice and patients with T2DM. Our comparative analysis helped identify metabolic correlations influenced by liraglutide between humans and rodents and may guide future therapeutic strategies for T2DM and obesity. Full article
(This article belongs to the Special Issue Nutrition and Metabolism in Human Diseases 2nd Edition)
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12 pages, 1181 KiB  
Article
Genetic Evidence for Causal Relationships between Plasma Eicosanoid Levels and Cardiovascular Disease
by Xukun Bi, Yiran Wang, Yangjun Lin, Meihui Wang and Xiaoting Li
Metabolites 2024, 14(6), 294; https://doi.org/10.3390/metabo14060294 - 23 May 2024
Cited by 3 | Viewed by 1235
Abstract
Cardiovascular diseases are the most common causes of mortality and disability worldwide. Eicosanoids are a group of bioactive metabolites that are mainly oxidized by arachidonic acid. Eicosanoids play a diverse role in cardiovascular diseases, with some exerting beneficial effects while others have detrimental [...] Read more.
Cardiovascular diseases are the most common causes of mortality and disability worldwide. Eicosanoids are a group of bioactive metabolites that are mainly oxidized by arachidonic acid. Eicosanoids play a diverse role in cardiovascular diseases, with some exerting beneficial effects while others have detrimental consequences. However, a causal relationship between eicosanoid levels and cardiovascular disease remains unclear. Six single nucleotide polymorphisms (SNPs) with strong associations with plasma eicosanoid levels were selected. Summary-level data for cardiovascular disease were obtained from publicly available genome-wide association studies. A two-sample MR analysis identified that plasma eicosanoid levels were inversely correlated with unstable angina pectoris (OR 1.06; 95% CI 1–1.12; p = 0.04), myocardial infarction (OR 1.05; 95% CI 1.02–1.09; p = 0.005), ischemia stroke (OR 1.05; 95% CI 1–1.11; p = 0.047), transient ischemic attack (OR 1.03; 95% CI 1–1.07; p = 0.042), heart failure (OR 1.03; 95% CI 1.01–1.05; p = 0.011), and pulmonary embolism (OR 1.08; 95% CI 1.02–1.14; p = 1.69 × 10−6). In conclusion, our data strongly suggest a genetic causal link between high plasma eicosanoid levels and an increased cardiovascular disease risk. This study provides genetic evidence for treating cardiovascular diseases. Full article
(This article belongs to the Special Issue Nutrition and Metabolism in Human Diseases 2nd Edition)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Tentative Title: Multi-Omics Unravels Metabolic Alterations in a murine model of Infantile hemangioma receiving Oxymatrine therapy
Author: Junkai Yan

Tentative Title: Metabolic markers predicts diabetic nephropathy development through multiple omics
Author: Jianbo Wu

Tentative Title: Research Progress of SLC7A11-Mediated Ferroptosis in Different Diseases
Author: Hongbin Luo

 

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