5 March 2026
Metabolites | Feature Papers Published in 2024–2025 in the “Advances in Metabolomics” Section


We are delighted to share some feature papers from the Section “Advances in Metabolomics” that were published in Metabolites (ISSN: 2218-1989) in 2024 and 2025. Many of the papers are from our Editorial Board Members and Guest Editors; they are expected to attract readers’ interest and provide valuable opportunities for follow-up research.

The following is a list of articles that we believe will interest you:

1. “Is Lipid Metabolism of Value in Cancer Research and Treatment? Part II: Role of Specialized Pro-Resolving Mediators in Inflammation, Infections, and Cancer”
by Muhammad Usman Babar, Ala F. Nassar, Xinxin Nie, Tianxiang Zhang, Jianwei He, Jacky Yeung, Paul Norris, Hideki Ogura, Anne Muldoon, Lieping Chen et al.
Metabolites 2024, 14(6), 314; https://doi.org/10.3390/metabo14060314  
Available online: https://www.mdpi.com/2218-1989/14/6/314

2. “Automated Liquid Handling Extraction and Rapid Quantification of Underivatized Amino Acids and Tryptophan Metabolites from Human Serum and Plasma Using Dual-Column U(H)PLC-MRM-MS and Its Application to Prostate Cancer Study”
by Tobias Kipura, Madlen Hotze, Alexa Hofer, Anna-Sophia Egger, Lea E. Timpen, Christiane A. Opitz, Paul A. Townsend, Lee A. Gethings, Kathrin Thedieck and Marcel Kwiatkowski
Metabolites 2024, 14(7), 370; https://doi.org/10.3390/metabo14070370
Available online: https://www.mdpi.com/2218-1989/14/7/370

3. “Reliability of Time-Series Plasma Metabolome Data over 6 Years in a Large-Scale Cohort Study”
by Atsuko Miyake, Sei Harada, Daisuke Sugiyama, Minako Matsumoto, Aya Hirata, Naoko Miyagawa, Ryota Toki, Shun Edagawa, Kazuyo Kuwabara, Tomonori Okamura et al.
Metabolites 2024, 14(1), 77; https://doi.org/10.3390/metabo14010077
Available online: https://www.mdpi.com/2218-1989/14/1/77

4. “Discovery of Delirium Biomarkers through Minimally Invasive Serum Molecular Fingerprinting”
by Ana Viegas, Rúben Araújo, Luís Ramalhete, Cristiana Von Rekowski, Tiago A. H. Fonseca, Luís Bento and Cecília R. C. Calado
Metabolites 2024, 14(6), 301; https://doi.org/10.3390/metabo14060301
Available online: https://www.mdpi.com/2218-1989/14/6/301

5. “The Metabolic and Lipidomic Fingerprint of Torin1 Exposure in Mouse Embryonic Fibroblasts Using Untargeted Metabolomics”
by Rani Robeyns, Angela Sisto, Elias Iturrospe, Katyeny Manuela da Silva, Maria van de Lavoir, Vincent Timmerman, Adrian Covaci, Sigrid Stroobants and Alexander L. N. van Nuijs
Metabolites 2024, 14(5), 248; https://doi.org/10.3390/metabo14050248
Available online: https://www.mdpi.com/2218-1989/14/5/248

6. “Sitting Interruption Modalities during Prolonged Sitting Acutely Improve Postprandial Metabolome in a Crossover Pilot Trial among Postmenopausal Women”
by Jeffrey S. Patterson, Brinda K. Rana, Haiwei Gu and Dorothy D. Sears
Metabolites 2024, 14(9), 478; https://doi.org/10.3390/metabo14090478
Available online: https://www.mdpi.com/2218-1989/14/9/478

7. “Discrimination of Lipogenic or Glucogenic Diet Effects in Early-Lactation Dairy Cows Using Plasma Metabolite Abundances and Ratios in Combination with Machine Learning”
by Xiaodan Wang, Sanjeevan Jahagirdar, Wouter Bakker, Carolien Lute, Bas Kemp, Ariette van Knegsel and Edoardo Saccenti
Metabolites 2024, 14(4), 230; https://doi.org/10.3390/metabo14040230
Available online: https://www.mdpi.com/2218-1989/14/4/230

8. “Is Lipid Metabolism of Value in Cancer Research and Treatment? Part I- Lipid Metabolism in Cancer”
by Ala F. Nassar, Xinxin Nie, Tianxiang Zhang, Jacky Yeung, Paul Norris, Jianwei He, Hideki Ogura, Muhammad Usman Babar, Anne Muldoon, Stephania Libreros and Lieping Chen
Metabolites 2024, 14(6), 312; https://doi.org/10.3390/metabo14060312
Available online: https://www.mdpi.com/2218-1989/14/6/312

9. “Targeted and Non-Targeted Metabolomic Evaluation of Cerebrospinal Fluid in Early Phase Schizophrenia: A Pilot Study from the Hopkins First Episode Psychosis Project”
by George E. Jaskiw, Mark E. Obrenovich, Curtis J. Donskey, Farren B. S. Briggs, Sun Sunnie Chung, Anastasiya I. Kalinina, Austin Bolomey, Lindsay N. Hayes, Kun Yang, Robert H. Yolken et al.
Metabolites 2025, 15(4), 275; https://doi.org/10.3390/metabo15040275
Available online: https://www.mdpi.com/2218-1989/15/4/275

10. “Metabolome Alterations Associated with Three-Month Sitting-Time Reduction Among Sedentary Postmenopausal Latinas with Cardiometabolic Disease Risk”
by Jeffrey S. Patterson, Paniz Jasbi, Yan Jin, Haiwei Gu, Matthew A. Allison, Chase Reuter, Brinda K. Rana, Loki Natarajan and Dorothy D. Sears
Metabolites 2025, 15(2), 75; https://doi.org/10.3390/metabo15020075
Available online: https://www.mdpi.com/2218-1989/15/2/75

11. “Comprehensive GC/MS Profiling of Volatile Organic Compounds in Whole and Glandular Saliva Using MonoTrap Micro-Extraction”
by Asuka Mori, Masae Kuboniwa and Eiichiro Fukusaki
Metabolites 2025, 15(11), 726; https://doi.org/10.3390/metabo15110726
Available online: https://www.mdpi.com/2218-1989/15/11/726

12. “Benchtop NMR in Biomedicine: An Updated Literature Overview”
by Linda Fantato, Maria Salobehaj, Jacopo Patrussi, Gaia Meoni, Alessia Vignoli and Leonardo Tenori
Metabolites 2026, 16(1), 3; https://doi.org/10.3390/metabo16010003
Available online: https://www.mdpi.com/2218-1989/16/1/3

13. “Metabolomics-Based Machine Learning Diagnostics of Post-Acute Sequelae of SARS-CoV-2 Infection”
by Ethan Cai, Valentina L. Kouznetsova and Igor F. Tsigelny
Metabolites 2025, 15(12), 801; https://doi.org/10.3390/metabo15120801
Available online: https://www.mdpi.com/2218-1989/15/12/801

14. “Maternal Inflammation During Pregnancy and Cord Blood Metabolomic Signatures in the Context of HIV Exposure”
by Tianyue Fu, Ellen C. Francis, Carolyn Kinkade, Rhoda S. Sperling, Yunping Qiu, Irwin J. Kurland, Jennifer Jao and Stephanie Shiau
Metabolites 2025, 15(12), 765; https://doi.org/10.3390/metabo15120765
Available online: https://www.mdpi.com/2218-1989/15/12/765

15. “Rapid FTIR Spectral Fingerprinting of Kidney Allograft Perfusion Fluids Distinguishes DCD from DBD Donors: A Pilot Machine Learning Study”
by Luis Ramalhete, Rúben Araújo, Miguel Bigotte Vieira, Emanuel Vigia, Ana Pena, Sofia Carrelha, Anibal Ferreira and Cecília R. C. Calado
Metabolites 2025, 15(11), 702; https://doi.org/10.3390/metabo15110702
Available online: https://www.mdpi.com/2218-1989/15/11/702

If you are an active researcher in the field and are passionate about participating in cutting-edge research publications, please do not hesitate to contact the Metabolites Editorial Office ().

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