Advances in Metabolomics and Multi-omics Integration

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1089

Special Issue Editor

Special Issue Information

Dear Colleagues,

We are pleased to announce the launch of this Special Issue of Metabolites. This Special Issue aims to report the cutting-edge advancements and methodologies in metabolomics, and its integration with various omics data, including the genome, transcriptome, proteome, epigenome and microbiome.

In this Special Issue, we seek to highlight research that not only advances the science of metabolomics, but also demonstrates innovative strategies for the integration of multiple omics datasets. We invite submissions that cover a range of topics, including, but not limited to, the following:

  • Novel methodologies for metabolomic data acquisition and analysis;
  • Integration techniques for multi-omics data to uncover new insights into cellular and systemic metabolism;
  • Applications of metabolomics and multi-omics in disease diagnosis, prognosis and therapeutics;
  • Case studies demonstrating the utility of metabolomics in conjunction with other omics technologies.

We look forward to your submissions that contribute to this cutting-edge forum on metabolomics and multi-omics research.

Dr. Kurt K. Zhang
Guest Editor

Manuscript Submission Information

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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
  • cellular metabolism
  • multi-omics
  • metabolites
  • molecular interaction
  • cell–cell cross-talk

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Published Papers (1 paper)

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Research

13 pages, 532 KiB  
Article
Investigating the Link between Intermediate Metabolism, Sexual Dimorphism, and Cardiac Autonomic Dysfunction in Patients with Type 1 Diabetes
by María Rosa Insenser, Lía Nattero-Chávez, Manuel Luque-Ramírez, Sara de Lope Quiñones, Alejandra Quintero-Tobar, Sara Samino, Núria Amigó, Beatriz Dorado Avendaño, Tom Fiers and Héctor F. Escobar-Morreale
Metabolites 2024, 14(8), 436; https://doi.org/10.3390/metabo14080436 - 6 Aug 2024
Viewed by 824
Abstract
Sexual dimorphism influences cardiovascular outcomes in type 1 diabetes (T1D), with women facing a higher relative risk of macrovascular events compared to men, especially after menopause. This study hypothesizes that abnormalities in intermediate metabolism may be associated with cardiac autonomic neuropathy (CAN) in [...] Read more.
Sexual dimorphism influences cardiovascular outcomes in type 1 diabetes (T1D), with women facing a higher relative risk of macrovascular events compared to men, especially after menopause. This study hypothesizes that abnormalities in intermediate metabolism may be associated with cardiac autonomic neuropathy (CAN) in T1D. We aim to assess low molecular weight metabolites (LMWM) as markers of CAN in T1D, considering the effects of sexual dimorphism and age. In this cross-sectional study, we included 323 subjects with T1D (147 women and 176 men), with a mean age of 41 ± 13 years. A total of 44 women and 41 men were over 50 years old. CAN was assessed using Ewing’s tests, and serum metabolites were analyzed by proton nuclear magnetic resonance spectroscopy (1H-NMR). Patients with CAN had lower levels of valine, isoleucine, and threonine, and higher levels of lactate, compared to those without CAN. These differences persisted after adjusting for BMI and estimated glucose disposal rate (eGDR). In a logistic regression model (R² = 0.178, p < 0.001), the main determinants of CAN included isoleucine [Exp(β) = 0.972 (95% CI 0.952; 0.003)], age [Exp(β) = 1.031 (95% CI 1.010; 1.053)], A1c [Exp(β) = 1.361 (95% CI 1.058; 1.752)], and microangiopathy [Exp(β) = 2.560 (95% CI 1.372; 4.778)]. Sex influenced LMWM profiles, with over half of the metabolites differing between men and women. However, no interactions were found between CAN and sex, or between sex, age, and CAN, on metabolomics profiles. Our findings suggest an association between CAN and LMWM levels in T1D. The sexual dimorphism observed in amino acid metabolites was unaffected by the presence of CAN. Full article
(This article belongs to the Special Issue Advances in Metabolomics and Multi-omics Integration)
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