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Metabolites
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Integration of Emerging Technologies in Metabolite Analysis, 2nd Edition
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Integration of Emerging Technologies in Metabolite Analysis, 2nd Edition

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

Deadline for manuscript submissions: 31 March 2026 | Viewed by 641

Special Issue Editor

Dr. Kumari Ubhayasekera

E-Mail Website
Guest Editor
Department of Chemistry—Biomedical Center (BMC), Uppsala University, P.O. Box 599, 751 24 Uppsala, Sweden
Interests: gas chromatography; liquid chromatography; mass spectrometry; metabolomics; NMR; smaller molecules; supercritical chromatography
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the field of metabolomics has witnessed rapid developments driven by the integration of novel technologies. This Special Issue aims to explore the application of emerging technologies in metabolite analysis, highlighting their potential to revolutionize our understanding of metabolic processes and their implications for human health and disease.

The contributions to this Special Issue include a diverse array of methodologies and approaches, from mass spectrometry to nuclear magnetic resonance spectroscopy with chromatographic techniques. These techniques offer improved sensitivity, resolution, and throughput, enabling comprehensive profiling of metabolites in complex biological systems.

Furthermore, this Special Issue highlights the innovative strategies developed for metabolite identification, quantification, and data analysis, including metabolic pathway modeling and multi-omics integration. By leveraging these cutting-edge technologies, researchers can unravel complex metabolic networks, uncover biomarkers of disease, and accelerate the discovery of therapeutic targets.

Moreover, the articles featured in this Special Issue explore the application of metabolomics in various research domains, such as cancer biology, drug discovery, environmental science, and personalized medicine. By elucidating the dynamic interplay between metabolites and physiological processes, these studies pave the way for the development of precision diagnostics and tailored interventions for metabolic disorders.

In conclusion, this Special Issue provides a comprehensive overview of the latest advancements in metabolite analysis, highlighting the transformative impact of emerging technologies on the field of metabolomics. Through collaborative efforts and interdisciplinary approaches, researchers can apply these innovations to address fundamental questions in biology and medicine, ultimately improving human health and well-being.

Dr. Kumari Ubhayasekera
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

  • liquid chromatography
  • mass spectrometry
  • NMR
  • metabolomics
  • smaller molecules
  • supercritical chromatography
  • gas chromatography

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Published Papers (1 paper)

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19 pages, 7561 KB  
Article
Association of Intracellular Microstructural and Neuropsychological Changes in HIV: A Pilot Validation of Trace Diffusion-Weighted Magnetic Resonance Spectroscopic Imaging Using Radial Trajectories
by Ajin Joy, Andres Saucedo, Matthew J. Wright, Pranathi Vallabhu, Neha Gupta, James Sayre, Aichi Chien, Uzay Emir, Paul M. Macey, Eric S. Daar and M. Albert Thomas
Metabolites 2025, 15(10), 669; https://doi.org/10.3390/metabo15100669 - 13 Oct 2025
Viewed by 533
Abstract
Background: Despite effective antiretroviral therapy, HIV-associated neurocognitive disorders (HANDs) remain prevalent, highlighting the need for sensitive biomarkers of early brain alterations. Trace-weighted diffusion spectroscopic imaging offers a non-invasive means to assess microstructural changes in brain metabolites in a single shot by measuring apparent [...] Read more.
Background: Despite effective antiretroviral therapy, HIV-associated neurocognitive disorders (HANDs) remain prevalent, highlighting the need for sensitive biomarkers of early brain alterations. Trace-weighted diffusion spectroscopic imaging offers a non-invasive means to assess microstructural changes in brain metabolites in a single shot by measuring apparent diffusion coefficients (ADCs) of total N-acetylaspartate (tNAA), total creatine (tCr), total choline (tCho), and water. Methods: In this study, we used trace-weighted single-shot diffusion-weighted radial echo-planar spectroscopic imaging (DW-RESPI) to investigate metabolite diffusion and relative concentrations in the brains of people living with HIV (PLWH). Using a 3T MRI scanner, we studied 16 PLWH and 15 healthy controls (HCs), and we collected two sets of data with low and high b-values from which metabolite ADCs were computed. Metabolite ratios were derived from the low b-value spectra. A brief neuropsychological assessment evaluated attention, executive function, and memory in a subset of subjects. Cognitive and affective performance was quantified using domain-specific deficit scores, as well as depression and anxiety assessments, offering a comprehensive evaluation of neurobehavioral function. In the male subgroup (N = 15) of PLWH, we calculated the correlations between ADC values and neuropsychological domain scores. Results: tNAA, tCr, tCho, and water ADC values were significantly elevated in multiple gray and white matter regions in PLWH compared to HC, with the most pronounced differences observed in the superior precuneus, anterior cingulate cortex, and corona radiata. Notably, regional ADC values and metabolite ratios showed significant correlations with neuropsychological domain scores. Conclusions: These findings indicate the potential of metabolite and water diffusion metrics as biomarkers for HIV-associated microstructural brain alterations and cognitive impairment. However, the small sample size and preliminary nature of this data warrant further investigation to validate these findings. Full article
(This article belongs to the Special Issue Integration of Emerging Technologies in Metabolite Analysis, 2nd Edition)
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