Announcements

We are delighted to share some of the highly cited papers from the Section “Metabolomic Profiling Technology” that were published in Metabolites (ISSN: 2218-1989) in 2023 and 2024. In addition, some Special Issues related to this topic are currently open for submission.

The following is a list of articles and Special Issues that we believe will be interest of you:

1. “Therapeutic and Toxic Effects of Valproic Acid Metabolites”
by Natalia A. Shnayder, Violetta V. Grechkina, Aiperi K. Khasanova, Elena N. Bochanova, Evgenia A. Dontceva, Marina M. Petrova, Azat R. Asadullin, German A. Shipulin, Kuanysh S. Altynbekov, Mustafa Al-Zamil et al.
Metabolites 2023, 13(1), 134; https://doi.org/10.3390/metabo13010134
Available online: https://www.mdpi.com/2218-1989/13/1/134

2. “Instrumental Drift in Untargeted Metabolomics: Optimizing Data Quality with Intrastudy QC Samples”
by Andre Märtens, Johannes Holle, Brit Mollenhauer, Andre Wegner, Jennifer Kirwan and Karsten Hiller
Metabolites 2023, 13(5), 665; https://doi.org/10.3390/metabo13050665
Available online: https://www.mdpi.com/2218-1989/13/5/665

3. “Revolutionizing Blood Collection: Innovations, Applications, and the Potential of Microsampling Technologies for Monitoring Metabolites and Lipids”
by Eleonora Bossi, Elena Limo, Lisa Pagani, Nicole Monza, Simone Serrao, Vanna Denti, Giuseppe Astarita and Giuseppe Paglia
Metabolites 2024, 14(1), 46; https://doi.org/10.3390/metabo14010046
Available online: https://www.mdpi.com/2218-1989/14/1/46

4. “Challenges in the Metabolomics-Based Biomarker Validation Pipeline”
by Shenghan Li, Nikita Looby, Vinod Chandran and Vathany Kulasingam
Metabolites 2024, 14(4), 200; https://doi.org/10.3390/metabo14040200
Available online: https://www.mdpi.com/2218-1989/14/4/200

5. “Optimized Mass Spectrometry Detection of Thyroid Hormones and Polar Metabolites in Rodent Cerebrospinal Fluid”
by Ryann M. Fame, Ilhan Ali, Maria K. Lehtinen, Naama Kanarek and Boryana Petrova
Metabolites 2024, 14(2), 79; https://doi.org/10.3390/metabo14020079
Available online: https://www.mdpi.com/2218-1989/14/2/79

6. “Accurate Prediction of 1H NMR Chemical Shifts of Small Molecules Using Machine Learning”
by Tanvir Sajed, Zinat Sayeeda, Brian L. Lee, Mark Berjanskii, Fei Wang, Vasuk Gautam and David S. Wishart
Metabolites 2024, 14(5), 290; https://doi.org/10.3390/metabo14050290
Available online: https://www.mdpi.com/2218-1989/14/5/290

7. “An Overview of Pre-Analytical Factors Impacting Metabolomics Analyses of Blood Samples”
by Amy Thachil, Li Wang, Rupasri Mandal, David Wishart and Tom Blydt-Hansen
Metabolites 2024, 14(9), 474; https://doi.org/10.3390/metabo14090474
Available online: https://www.mdpi.com/2218-1989/14/9/474

8. “Volumetric Absorptive Microsampling in the Analysis of Endogenous Metabolites”
by Daniel Marques de Sá e Silva, Marlene Thaitumu, Georgios Theodoridis, Michael Witting and Helen Gika
Metabolites 2023, 13(10), 1038; https://doi.org/10.3390/metabo13101038
Available online: https://www.mdpi.com/2218-1989/13/10/1038

9. “Metabolic Bile Acid Profile Impairments in Dogs Affected by Chronic Inflammatory Enteropathy”
by Rossana Comito, Emanuele Porru, Nicolò Interino, Matteo Conti, Rossella Terragni, Roberto Gotti, Marco Candela, Patrizia Simoni, Aldo Roda and Jessica Fiori
Metabolites 2023, 13(9), 980; https://doi.org/10.3390/metabo13090980
Available online: https://www.mdpi.com/2218-1989/13/9/980

10. “Evaluation of Lipid Extraction Protocols for Untargeted Analysis of Mouse Tissue Lipidome”
by Ashraf M. Omar and Qibin Zhang
Metabolites 2023, 13(9), 1002; https://doi.org/10.3390/metabo13091002
Available online: https://www.mdpi.com/2218-1989/13/9/1002

11. “Opening the Random Forest Black Box of 1H NMR Metabolomics Data by the Exploitation of Surrogate Variables”
by Soeren Wenck, Thorsten Mix, Markus Fischer, Thomas Hackl and Stephan Seifert
Metabolites 2023, 13(10), 1075; https://doi.org/10.3390/metabo13101075
Available online: https://www.mdpi.com/2218-1989/13/10/1075

12. “Comparison of Various Extraction Approaches for Optimized Preparation of Intracellular Metabolites from Human Mesenchymal Stem Cells and Fibroblasts for NMR-Based Study”
by Slavomíra Nováková, Eva Baranovičová, Zuzana Hatoková, Gábor Beke, Janka Pálešová, Romana Záhumenská, Bibiána Baďurová, Mária Janíčková, Ján Strnádel, Erika Halašová et al.
Metabolites 2024, 14(5), 268; https://doi.org/10.3390/metabo14050268
Available online: https://www.mdpi.com/2218-1989/14/5/268

13. “NMR Precision Metabolomics: Dynamic Peak Sum Thresholding and Navigators for Highly Standardized and Reproducible Metabolite Profiling of Clinical Urine Samples”
by Alessia Trimigno, Nicole R. Holderman, Chen Dong, Kari D. Boardman, Jifang Zhao and Elizabeth M. O’Day
Metabolites 2024, 14(5), 275; https://doi.org/10.3390/metabo14050275
Available online: https://www.mdpi.com/2218-1989/14/5/275

14. “Efficient SABRE-SHEATH Hyperpolarization of Potent Branched-Chain-Amino-Acid Metabolic Probe [1-13C]ketoisocaproate”
by Isaiah Adelabu, Md Raduanul H. Chowdhury, Shiraz Nantogma, Clementinah Oladun, Firoz Ahmed, Lukas Stilgenbauer, Marianna Sadagurski, Thomas Theis, Boyd M. Goodson and Eduard Y. Chekmenev
Metabolites 2023, 13(2), 200; https://doi.org/10.3390/metabo13020200
Available online: https://www.mdpi.com/2218-1989/13/2/200

15. “Analysis of Volatile Organic Compounds in Exhaled Breath Following a COMEX-30 Treatment Table”
by Feiko J. M. de Jong, Thijs T. Wingelaar, Paul Brinkman, Pieter-Jan A. M. van Ooij, Anke H. Maitland-van der Zee, Markus W. Hollmann and Rob A. van Hulst
Metabolites 2023, 13(3), 316; https://doi.org/10.3390/metabo13030316
Available online: https://www.mdpi.com/2218-1989/13/3/316

Special Issues: