New Analytical Techniques and Applications of Metabolomics and Lipidomics

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 631

Special Issue Editors

Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
Interests: metabolomics; exposomics; mass spectrometry imaging; metabolic reprogramming and markers
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Guest Editor
Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
Interests: single-cell metabolomics; lipidomics; metabolomics; mass spectrometry; disease biomarker discovery; spatial metabolomics

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Guest Editor
Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
Interests: single-cell metabolomics; nanomaterials; multi-dimensional liquid chromatography; mass spectrometry; spatial metabolomics

Special Issue Information

Dear Colleagues,

This Special Issue aims to publish novel research results and reviews presented at the 53rd International Symposium on High-Performance Liquid-Phase Separations and Related Techniques (HPLC 2024 Dalian) to be held on Oct. 21–23, 2024, in Dalian, China. We invite scholars, especially conference participants, to contribute original research papers and review articles dealing with all aspects of new analytical techniques and applications of metabolomics and/or lipidomics. Topics of interest include, but are not limited to, the following:

  • non-targeted, targeted, and pseudotargeted metabolomics and/or lipidomics;
  • high-coverage metabolomics and/or lipidomics;
  • high-throughput metabolomics and/or lipidomics;
  • high-precision quantitative metabolomics and/or lipidomics;
  • single-cell metabolomics and/or lipidomics;
  • spatial/spatially resolved metabolomics and/or lipidomics;
  • applications of metabolomics and/or lipidomics in different fields.

Dr. Xinyu Liu
Dr. Chunxiu Hu
Dr. Xianzhe Shi
Guest Editors

Manuscript Submission Information

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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
  • lipidomics
  • applications of metabolomics and/or lipidomics

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Published Papers (1 paper)

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Research

21 pages, 6832 KiB  
Article
Identification of Spatial Specific Lipid Metabolic Signatures in Long-Standing Diabetic Kidney Disease
by Yiran Zhang, Hai-Long Piao and Di Chen
Metabolites 2024, 14(11), 641; https://doi.org/10.3390/metabo14110641 - 20 Nov 2024
Viewed by 286
Abstract
Background: Diabetic kidney disease (DKD) is a major complication of diabetes leading to kidney failure. Methods: This study investigates lipid metabolism profiles of long-standing DKD (LDKD, diabetes duration > 10 years) by integrative analysis of available single-cell RNA sequencing and spatial multi-omics data [...] Read more.
Background: Diabetic kidney disease (DKD) is a major complication of diabetes leading to kidney failure. Methods: This study investigates lipid metabolism profiles of long-standing DKD (LDKD, diabetes duration > 10 years) by integrative analysis of available single-cell RNA sequencing and spatial multi-omics data (focusing on spatial continuity samples) from the Kidney Precision Medicine Project. Results: Two injured cell types, an injured thick ascending limb (iTAL) and an injured proximal tubule (iPT), were identified and significantly elevated in LDKD samples. Both iTAL and iPT exhibit increased lipid metabolic and biosynthetic activities and decreased lipid and fatty acid oxidative processes compared to TAL/PT cells. Notably, compared to PT, iPT shows significant upregulation of specific injury and fibrosis-related genes, including FSHR and BMP7. Meanwhile, comparing iTAL to TAL, inflammatory-related genes such as ANXA3 and IGFBP2 are significantly upregulated. Furthermore, spatial metabolomics analysis reveals regionally distributed clusters in the kidney and notably differentially expressed lipid metabolites, such as triglycerides, glycerophospholipids, and sphingolipids, particularly pronounced in the inner medullary regions. Conclusions: These findings provide an integrative description of the lipid metabolism landscape in LDKD, highlighting injury-associated cellular processes and potential molecular mechanisms. Full article
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