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Recent Analytical Technologies and Applications in Metabolomics
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Recent Analytical Technologies and Applications in Metabolomics

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 2871

Special Issue Editor

Dr. Fuhua Hao

E-Mail Website
Guest Editor
Innovation Academy for Precision Measurement Science and Technology, Chinese Academic of Sciences, Wuhan 430071, China
Interests: metabolomics; NMR; LC-MS; GC-MS; metabolome analysis; multi-omics integrated analysis; biomarker

Special Issue Information

Dear Colleagues,

It is our pleasure to announce a Special Issue of Molecules, focusing on the topic of “Recent analytical technologies and applications in metabolomics”. Metabolomics is devoted to the systematic study of all small molecule metabolites in biological samples derived from different sources. Analytical techniques involved in metabolomics mainly include nuclear magnetic resonance (NMR) and mass spectrometry (MS). Given NMR and MS have respective strengths and weaknesses, they are often also combined in metabolome analysis for their mutually complimentary benefits in both analyzing and identifying small molecule metabolites. In recent years, the advance of analytical technologies in metabolomics has enabled the discovery of more and more biomarkers in various diseases, making the early detection of diseases and designing personalized treatments a reality. As an emerging research technique, metabolomics still faces the tremendous challenges of methods and applications. This Special Issue will welcome original research and review articles covering sample preparation (sample extraction, metabolite pretreatment and separation), instrumental analysis (new techniques in NMR, LC-MS, GC-MS, and MS imaging), data analysis (data preprocessing, data extraction, quantitative analysis, pattern recognition, and multi-omics integrated analysis), metabolic pathway analysis, and various applications in different fields.

Dr. Fuhua Hao
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. Molecules is an international peer-reviewed open access semimonthly 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
  • NMR
  • LC-MS
  • GC-MS
  • metabolome analysis
  • multi-omics integrated analysis
  • biomarker

Published Papers (2 papers)

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Research

17 pages, 3955 KiB  
Article
Quantitative Profiling of Serum Carnitines Facilitates the Etiology Diagnosis and Prognosis Prediction in Heart Failure
by Zhangwei Chen, Danbo Lu, Baoling Qi, Yuan Wu, Yan Xia, Ao Chen, Su Li, Huiru Tang, Juying Qian and Junbo Ge
Molecules 2023, 28(14), 5345; https://doi.org/10.3390/molecules28145345 - 11 Jul 2023
Cited by 1 | Viewed by 1322
Abstract
Background: The perturbation of fatty acid metabolism in heart failure (HF) has been a critical issue. It is unclear whether the amounts of circulating carnitines will benefit primary etiology diagnosis and prognostic prediction in HF. This study was designed to assess the diagnostic [...] Read more.
Background: The perturbation of fatty acid metabolism in heart failure (HF) has been a critical issue. It is unclear whether the amounts of circulating carnitines will benefit primary etiology diagnosis and prognostic prediction in HF. This study was designed to assess the diagnostic and prognostic values of serum carnitine profiles between ischemic and non-ischemic derived heart failure. Methods: HF patients (non-ischemic dilated cardiomyopathy: DCM-HF, n = 98; ischemic heart disease: IHD-HF, n = 63) and control individuals (n = 48) were enrolled consecutively. The serum carnitines were quantitatively measured using the UHPLC-MS/MS method. All patients underwent a median follow-up of 28.3 months. Multivariate Cox regression analysis was performed during the prognosis evaluation. Results: Amongst 25 carnitines measured, all of them were increased in HF patients, and 20 acylcarnitines were associated with HF diagnosis independently. Seven acylcarnitines were confirmed to increase the probability of DCM diagnosis independently. The addition of isobutyryl-L-carnitine and stearoyl-L-carnitine to conventional clinical factors significantly improved the area under the receiver operating characteristic curve (ROC) from 0.771 to 0.832 (p = 0.023) for DCM-HF diagnosis (calibration test for the composite model: Hosmer-Lemeshow χ2 = 7.376, p = 0.497 > 0.05). Using a multivariate COX survival analysis adjusted with clinical factors simultaneously, oleoyl L-carnitine >300 nmol/L (HR = 2.364, 95% CI = 1.122–4.976, p = 0.024) and isovaleryl-L-carnitine <100 nmol/L (HR = 2.108, 95% CI = 1.091–4.074, p = 0.026) increased the prediction of all-cause mortality independently, while linoleoyl-L-carnitine >420 nmol/L, succinyl carnitine >60 nmol/L and isovaleryl-L-carnitine <100 nmol/L increased the risk of HF rehospitalization independently. Conclusions: Serum carnitines could not only serve as diagnostic and predictive biomarkers in HF but also benefit the identification of HF primary etiology and prognosis. Full article
(This article belongs to the Special Issue Recent Analytical Technologies and Applications in Metabolomics)
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14 pages, 1323 KiB  
Article
Metabolite Profiling, Antioxidant and Key Enzymes Linked to Hyperglycemia Inhibitory Activities of Satureja hispidula: An Underexplored Species from Algeria
by Ammar Haouat, Habiba Rechek, Diana C. G. A. Pinto, Susana M. Cardoso, Mónica S. G. A. Válega, Abdelhamid Boudjerda, Artur M. S. Silva and Ratiba Mekkiou
Molecules 2022, 27(24), 8657; https://doi.org/10.3390/molecules27248657 - 7 Dec 2022
Cited by 1 | Viewed by 1237
Abstract
In the present study, two extracts from the aerial parts of the endemic species Satureja hispidula were analyzed for the first time by ultra-high-performance liquid chromatography coupled with a diode array detector and an electrospray mass spectrometer (UHPLC-DAD-ESI/MS) method in order to identify [...] Read more.
In the present study, two extracts from the aerial parts of the endemic species Satureja hispidula were analyzed for the first time by ultra-high-performance liquid chromatography coupled with a diode array detector and an electrospray mass spectrometer (UHPLC-DAD-ESI/MS) method in order to identify and quantify their phenolic compounds. These extracts’ antioxidant, α-glucosidase and α-amylase inhibitory activities were also evaluated. UHPLC-DAD-ESI/MS allowed the identification of 28 and 20 compounds in the ethanolic and aqueous extracts, respectively; among them, 5-O-caffeoylquinic acid was the most abundant in both extracts. The biological assay results indicate that the species S. hispidula, besides its high antioxidant power, is also potentially useful for inhibiting the α-glucosidase enzyme. In both antioxidant and α-glucosidase inhibitory assays, the aqueous extract exhibited the most promising results, significantly better than the standards used as positive controls. Full article
(This article belongs to the Special Issue Recent Analytical Technologies and Applications in Metabolomics)
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