Publications
Featured Publication:
155) "Saliva and plasma metabolome analysis during the five days before foaling in the mare."
Nadal-Desbarats, Lydie, Camille Dupuy, Frédéric Montigny, Priscila Silvana Bertevello, Cécile Douet, Amandine Gesbert, Fabrice Reigner, and Ghylène Goudet.
Saliva is a relevant biofluid for real-time welfare-friendly monitoring of systemic events in animals, because some bioanalytes have a systemic origin and its collection is painless, stress-free and non-invasive. Our aim was to analyze the metabolome of equine saliva during the five days before foaling, with a focus on identifying metabolites whose level significantly changed before parturition, that could be potential salivary biomarkers of the onset of parturition. We compared the saliva and plasma metabolomes to investigate their relationship. Saliva and blood samples were collected from twelve mares once a day in the morning, from 322 days of gestation to the day of foaling. Samples collected from four days before the day of parturition (D-4) to the day when parturition occurred (D0) were analyzed by 1H Nuclear Magnetic Resonance spectroscopy. We identified 50 metabolites in saliva and 51 in plasma. In saliva, the levels of three metabolites and three groups of metabolites showed significant differences between the days. In particular, acetic acid significantly decreased three days before D0 and again on D0, isovaleric acid significantly increased from four days before D0 to D0, and lactic acid significantly decreased between three and two days before D0. In plasma, the levels of D-Glucose and four groups of metabolites showed significant differences between the days. D-Glucose significantly increased between three and two days before D0, and again on D0. In conclusion, significant changes in the salivary metabolome have been shown in the antepartum period in the mare. However, only minor changes in the levels of these metabolites were observed, without any significant threshold that would allow the prediction of foaling. Significant modifications of the plasma level of glucose have been observed before foaling. The development of non-invasive glucose monitoring sensors could allow the development of non-invasive detection method for the prediction of foaling. PLoS One 21, no. 4 (2026): e0344530.
154) Martins, Cátia Falcão, Mariana Palma, Ivan Viegas, John G. Jones, Antje Dittmann, Witold E. Wolski, Laura Kunz, João PB Freire, André M. Almeida, and José AM Prates. "Metabolomic and proteomic characterisation of intestinal responses to Chlorella vulgaris and CAZyme supplementation in weaned piglets." Algal Research (2026): 104695.
153) Cheng, Fanshu, Ling Zhang, Xueyan Li, Manni Zheng, Xiaoyan Xu, and Xingguo Tian. "Exploring Metabolite Changes in Crispy Tilapia During the Crisping Process via 1H-NMR Metabolomic Analysis." Foods 15, no. 7 (2026): 1232.
152) Yilmaz, Ali, Nadia Ashrafi, Zoe Guerra, Delaine Goniwiecha, Nazia Saiyed, Juozas Gordevičius, Karolis Krinickis et al. "Salivary metabolomics for early detection of vascular contributions to cognitive impairment and dementia: Exploring microbiome dysbiosis and sex differences." Journal of Alzheimer’s Disease (2026): 13872877261423158.
151) Erdoğan, Ali, Akın Mumcu, Zeynep Rozerin Çevik, Ömer Lütfi Özkan, and Berat Doğan. "NMR‐Based Metabolomics Profiling Reveals Dose‐Dependent Cardiotoxic Effects of Favipiravir in Rats." Magnetic Resonance in Chemistry (2026).
150) Zul-Hernández, Eduardo, Noemí Waksman-Minsky, Verónica M. Rivas-Galindo, Paula Cordero-Pérez, Ernesto Sánchez-Mendoza, J. Ricardo Lucio-Gutiérrez, and Alma L. Saucedo. "1H-qNMR analysis of human urine: Validation of an external standard approach for absolute metabolite quantitation." Analytical Biochemistry (2026): 116121.
149) Lee, Robert, Alexus Acton, Madeline Holliday, Nicholas J. Lennemann, and William J. Placzek. "Myeloid Cell Leukemia 1 and Hexokinase 2 Directly Interact to Form a Glucose Metabolic Regulatory Axis." (2026).
148) Aspevik, Tone, Katinka Riiser Dankel, Shaun Leivers, Nils Kristian Afseth, Åge Oterhals, John-Erik Haugen, Marianne Skov, and Mari Ø. Gaarder. "Upcycling of poultry protein hydrolysates using membrane filtration technology–effects on sensory properties and chemical composition." Available at SSRN 6515752.
147) Kumar, Anuj, Ashish Ranjan, Aniket Anand, Avinash D. Gautam, Hira Lal, Kavindra Nath, Uday Pratap Singh, and Ashish Gupta. "Prostate Cancer: Metabolic Remodelling in Expressed Prostatic Secretions Reveals Cellular Structural Changes Measured by mpMRI." Molecular Omics (2026): aaiag013.
146) Panigrahi, Ashish, Neha Yadav, Swarupa Panda, Abinashi Sabyasachi Sethy, Santosh Kumar Panda, Nirmal Kumar Mohakud, and Vivek Tiwari. "Early Blood Metabolome Remodeling Reveals Metabolic Signatures of Hypoxic-Ischemic Encephalopathy." bioRxiv (2026): 2026-04.
145) Hennequart, Marc, Loic Mervant, Julie Stockis, Jack Coomes, Martha M. Zarou, Louise Gerard, Virginie Tevel et al. "ALDH1L2 regulates reactive oxygen species and acinar-to-ductal metaplasia in the pancreas." Nature Metabolism (2026): 1-14.
144) Brai, Annalaura, Giuseppe Galeone, Alessio Maccianti, Federica Poggialini, Chiara Vagaggini, and Elena Dreassi. "Functionalization of Tenebrio molitor with Olive Mill Wastewater: Growth, Antioxidant Activity, and Metabolomic Insights." International Journal of Molecular Sciences 27, no. 7 (2026): 3201.
143) Buranavanitvong, Natthanan, Chayaporn Thanthithum, Kanyarat Kanyakam, Dalila Azzout-Marniche, Delphine Jouan-Rimbaud Bouveresse, Nattida Chotechuang, and Cheunjit Prakitchaiwattana. "Diet-Associated Gut Bacterial Microbiota and Metabolome Signatures Linked to Fermented Food Intake in Healthy Postmenopausal Women." Foods 15, no. 7 (2026): 1210.
142) Terblanche, Stephan, Shayne Mason, Léanie Kleynhans, Katharina Ronacher, and Du Toit Loots. "The metabolic milieu of tuberculosis-type 2 diabetes mellitus comorbidity using 1H-NMR metabolomics." (2026).
141) АБРАМОВА, ЛС, АВ КОЗИН, and ЕС ГУСЕВА. "ПИЩЕВЫЕ ТЕХНОЛОГИИ: ИССЛЕДОВАНИЯ, ИННОВАЦИИ, МАРКЕТИНГ." Москва 2 (2026): 13-17.
140) Zhang, Tianmeng, Qiang Xia, Ying Wang, Yangying Sun, Daodong Pan, Jinxuan Cao, Ren-You Gan, and Changyu Zhou. "Molecular mechanism of γ-glutamyl transferase derived from Rhodotorula mucilaginosa on γ-glutamyl peptide biosynthesis: γ-glutamyl transferase–substrate recognition, substrate affinity and γ-glutamyl peptide profiling." International Journal of Biological Macromolecules (2026): 151848.
Featured Publication:
139) "Salivary Metabolomic Signatures Associated with Sex-Specific Psychological Distress in Syrian Refugees: A Proof-of-Principle Study."
Hoover, Tanzi D., Steel M. McDonald, Laisa Kelly, Yesim Erim, Tony Montina, and Gerlinde AS Metz.
Refugees arriving from conflict zones often continue to experience trauma and are at increased risk of anxiety and depression. Those seeking asylum form a group at higher risk of suffering adverse mental health outcomes, with higher needs for psychosocial and therapeutic care. This study aimed to determine metabolic changes potentially associated with psychological distress in refugees from Syria, using a saliva-based metabolomics approach via proton nuclear magnetic resonance (1H NMR) spectroscopy. Methods: Participants were recruited from Lethbridge Family Services and categorized into high and low stress burden groups using questionnaires assessing depression (PHQ-9) and generalized anxiety (GAD-7). Salivary metabolomic profiles from 26 female and 32 male participants were analyzed using supervised and unsupervised multivariate statistical methods to identify metabolic differences linked to composite stress, depression, and anxiety. Results: Salivary metabolic profiles showed the most prominent differences associated with anxiety in female participants and depression in male participants. Multivariate statistical analyses identified 31 metabolites and 13 biological pathways that were significantly altered according to mental health status, with the greatest changes observed in glycolysis/gluconeogenesis, sphingolipid metabolism, and taurine/hypotaurine metabolism. Conclusions: These findings indicate that salivary 1H NMR metabolomic profiling can identify a quantifiable “metabolic fingerprint” related to impaired mental health and psychological distress in a cost-effective, objective, and non-invasive way. This analytical strategy shows potential as a screening tool to support effective decision-making, enabling early identification of individuals at highest risk who require timely emotional and medical support. Metabolites 16, no. 4 (2026): 216.
138) Isha, Azizul, Noraznita Sharifuddin, Mazni Abu Zarin, Yaya Rukayadi, and Ahmad Faizal Abdull Razis. "Deciphering anti-Vibrio potential of Persea americana through 1H NMR-based metabolite profiling." Antonie van Leeuwenhoek 119, no. 4 (2026): 75.
137) Takaba, Reiko, Chieh-Ni Kuo, Meng-Han Chiang, Hsien-Ju Lee, Yu-Ying Yu, Eric Yi-Liang Shen, and Chih-Yung Chiu. "Metabolomics in pediatric thoracic critical illness: NMR and LC-MS insights for precision medicine." Pediatric Respirology and Critical Care Medicine 10, no. 1 (2026): 11-17.
136) Palma, Mariana, Manuel Rodrigues, Filipe Costa, Afonso Lente-Silva, Margarida Coelho, Miguel Pardal, Ivan Viegas, Filipe Martinho, and Sara Leston. "Determining the geographic origin and species authenticity of marine fish fillet and roe using an NMR-Metabolomics approach." Food Control (2026): 112168.
135) Reilly, Erin R., Vincent Charron-Lamoureux, Helena Mannochio-Russo, Ethan W. Morgan, Nina R. Boyle, Imhoi Koo, Emma Coudriet et al. "Systemic rhythmicity of host and bacterial bile acid amidates in the mouse." Cell systems (2026).
134) Valdez-Arellanes, Ana L., Mónica A. Ramírez-Cabrera, Eder U. Arredondo-Espinoza, Emanuel Hernandez-Nuñez, Monica N. Sanchez-González, Isaias Balderas-Renteria, and Karla Ramirez-Estrada. "In Vitro Cytotoxic Activity of Coleus hadiensis Methanolic Extract: Metabolic and Transcriptomic Effects in Lung Cancer Cell Line." Molecules 31, no. 7 (2026): 1074.
133) Abdelsalam, Asmaa, Ehab Mahran, Arezue Boroujerdi, Ashraf B. Abdel Razik, Mohamed F. Ahmed, and Eman Tawfik. "Integrative metabolomic and genetic analysis of in vitro regenerated Populus alba in response to nano hydroxyapatite." BMC Plant Biology (2026).
132) Cichy, Annika, Adam Dewan, Zhuoling He, Cassandra Fitzgerald, Madison Ratkowski, Jakub Krasewicz, Vaikhari Ozarkar et al. "A microbiome-derived olfactory signal regulates inter-male aggression and social dominance in mice." Current Biology (2026).
131) Kucháriková, Veronika, Zuzana Hatoková, Eva Baranovičová, Bibiána Baďurová, Tereza Pavlišová, Lucia Kotúľová, Michal Kalman et al. "Anti-Tumor Effects of Statins in Pancreatic Ductal Adenocarcinoma Cells." International Journal of Molecular Sciences 27, no. 7 (2026): 2972.
130) Jbeily, John, Annamarija Raic, Mathias Hafner, and Rudiger Rudolf. "Stage-resolved iPSC-to-motoneuron differentiation: Metabolic switch & mitochondrial remodeling." bioRxiv (2026): 2026-03.
Featured Publication:
129) "Chicken broth–based extracellular metabolomics reveals phase-dependent metabolic shifts of Listeria monocytogenes under refrigeration."
Kim, Hyun-Jun, Heesang Hong, Hye-Jin Kim, Gap-don Kim, and Cheorun Jo.
This study characterized phase-associated extracellular metabolite dynamics of Listeria monocytogenes during refrigerated growth (8 °C) in a chicken meat–derived broth (CMB). Extracellular metabolites were measured by NMR for three strains (NCCP 15743, NCCP 16594, and ATCC 19111), followed by metabolite- and pathway-level analyses. During the logarithmic phase, depletion of serine, glycine, and glutamine together with decreases in IMP and UMP was consistent with increased demand for one carbon units and nucleotide precursor metabolism during active growth. In the stationary phase, depletion of glucose and glucose-6-phosphate accompanied by accumulation of formate, ethanol, and acetate, along with purine-related metabolites, was consistent with increased formation of fermentation end products and altered nucleotide turnover under growth limitation. Across strains, extracellular metabolite trajectories aligned with logarithmic-to-stationary transitions, supporting phase-associated shifts in extracellular metabolic signatures under a poultry-relevant, food-derived nutrient context. These results show that phase-resolved extracellular metabolite patterns can be characterized in a chicken meat–derived environment and provide a basis for developing extracellular markers and interpretive frameworks that may inform monitoring and control of L. monocytogenes during chilled storage. International Journal of Food Microbiology (2026): 111749.
128) Chen, Kang, Jasmin Raita, Maaria Kortesniemi, Zhengxuan Jiao, Baoru Yang, and Kati Hanhineva. "Impact of food technological processing on biochemicals of plant-based protein-rich products: A 1H NMR metabolomics study." Available at SSRN 6427111.
127) Rizvi, Anamta, Sailendra Kumar, Gurvinder Singh, Dinesh Kumar, and Sangeeta Saxena. "Metabolic Characterization of Methanolic Extract of Indian Mustard Microgreens Using High-Resolution 800 MHz NMR Spectroscopy and LC–MS." Applied Magnetic Resonance 57, no. 3 (2026): 16.
126) Gupta, Upasna, Amrita Sahu, Anupama Kaul, Jiya Mishra, Subash Chandra Yadav, Manas Behera, Bikash Baishya, and Neeraj Sinha. "NMR-Based Serum Metabolomics Reveals Diabetes-Linked Metabolic Reprogramming in Early-Stage Chronic Kidney Disease." Journal of Pharmaceutical and Biomedical Analysis (2026): 117475.
125) Kaewnongkae, Chotirose, Poladate Kantakam, Wilart Pompimom, and Piyorot Hongsachart. "Metabolomic profiling of Lactiplantibacillus plantarum L10-11 demonstrates stress tolerance and gamma-aminobutyric acid-producing capacity for fermented fish applications." International Journal of Food Science and Technology (2026): vvag059.
124) Fu, Jun, Huarui Wang, Junjie Yan, Weiyuan Chen, Ruguang Wang, Hongchang Gao, and Chen Li. "Integrative Multi-Analysis Identifies METTL3-Regulated FGF19 and H6PD as Candidate Targets in Diabetic Cognitive Impairment." Biomolecules 16, no. 3 (2026): 468.
123) Navarro-Pérez, V., U. Navarro-Zapata, R. Perez-Millan, S. Simón-Grao, and F. García-Sánchez. "Research Article Journal of Aquaculture, Marine Biology & Ecology JAMBE-166 ISSN 2692-1529."
122) Kozin, Stanislav, Alexandr Kravtsov, Oksana Lyasota, Anna Dorohova, Vasily Ivlev, Elena Chikhirzhina, Arkady Moiseev et al. "Consumption of Water Similar to Martian Water in Terms of Deuterium Content by Mammals Leads to the Development of an Adaptation Syndrome and Activation of Protective Mechanisms Against Stress." Frontiers in Bioscience-Elite 18, no. 1 (2026).
Featured Publication:
121) "Metabolomic and proteomic differences in susceptible and benzimidazole-resistant adult females and males of Haemonchus contortus."
Pelantová, Helena, Michaela Šadibolová, Martin Žofka, Petra Matoušková, Marcin Luzarowski, Josef Krátký, Karolína Štěrbová, Marek Kuzma, Ondřej Vosála, and Lenka Skálová.
Anthelmintic resistance in parasitic nematodes, particularly in Haemonchus contortus, poses a significant threat to livestock health and productivity. Since resistance mechanisms have not yet been fully elucidated, the present study employed metabolomic and proteomic analyses of H. contortus adults (females and males separately) from drug-susceptible (ISE) and benzimidazole-resistant (IRE) strains, with a focus on resistance-specific differences. Using nuclear magnetic resonance (NMR)-based metabolomics and mass spectrometry-based proteomics, significant alterations in metabolic and protein expression profiles associated with resistance were identified. Resistant adults exhibited reduced levels of multiple amino acids and tricarboxylic acid cycle intermediates, alongside elevated levels of trehalose, myo-inositol, NAD+, and glycerophosphocholine, suggesting enhanced stress resistance and altered energy metabolism. Proteomic analysis revealed over 3000 proteins, with substantial sex-related differences. Moderate resistance-related differences in protein expression were observed, indicating adaptive biochemical pathways supporting resistance. While some resistance-associated changes in the metabolome and proteome were observed in both sexes, several were distinctly sex-specific. This finding provides the first evidence of such sex-dependent strategies in H. contortus, reinforcing the notion that anthelmintic resistance is a multifaceted and highly complex phenomenon, with many aspects yet to be fully understood. In addition, certain nematode-specific enzymes upregulated in the IRE strain - such as cysteine synthases and transthyretin-like proteins - might be considered as potential targets for future anthelmintic development. Veterinary Research 57, no. 1 (2026): 17.
120) verma, poornima. "Abstract A031: Cross-platform integration of serum NMR and MRI radiomics identifies robust biomarkers for kidney cancer." Cancer Research 86, no. 5_Supplement_2 (2026): A031-A031.
119) Al, Kait F., Suyang Jia, Michael Silverman, Gregor Reid, Jeremy P. Burton, and Seema Parvathy. "Prebiotic Modulation of FMT Donor Microbiota Enhances MASLD-Relevant Taxa and Functions in an In Vitro Gut Model." Journal of Applied Microbiology (2026): lxag074.
118) Bisutti, Vittoria, Anastasia Lisuzzo, Diana Giannuzzi, Maria Elena Gelain, Luca Laghi, Enrico Fiore, Matteo Gianesella, Alessio Cecchinato, and Sara Pegolo. "Integrated serum metabolomics and milk immune cell profiling reveals systemic and local responses in Holstein cows with subclinical intramammary infection." Italian Journal of Animal Science 25, no. 1 (2026): 339-349.
117) Kuwabara, Yasuhide, Caitlin Keezer, Suh-Chin J. Lin, Akanksha Rajput, and Jeffery D. Molkentin. "Heart-Specific and Conditional Deletion of the Immt Gene Reveals Its Role in Regulating Mitochondrial Structure and Total Heart Metabolism." Cells 15, no. 6 (2026): 505.
116) Mishra, Jiya, Anu Behari, and Neeraj Sinha. "Metabolomics Approach to Understanding Gallbladder Cancer Progression Due to Gallstone Disease." In Insights and Innovations in Gallbladder Carcinogenesis, pp. 96-106. CRC Press, 2026.
115) Alaban, Leovigildo Rey, Andrei Bunescu, Joséphine Abi-Ghanem, Frédéric Bequet, Julien Lebrat, Pawel Tulinski, Daria Kosmala, Marie-Elisabeth Bougnoux, Christophe d'Enfert, and Vincent Thomas. "Exometabolome variation in the fungal pathogen of humans Candida albicans reveals specificities at the genetic clade and strain levels." Applied and Environmental Microbiology (2026): e01512-25.
114) Shen, Luoyi, Jiani Xiang, Yilin Liu, Jinping Gu, Sheng Fang, Zili Guo, and Xianrui Liang. "Integrating 1H NMR-Based Fecal Metabolomics with Gut Microbiota-Metabolite Correlation Analysis and Network Pharmacology to Explore Anti-Hyperlipidemic Mechanisms of Red Clover in High-Fat Diet-Induced Mice." Current Medicinal Chemistry (2026).
113) Moreira, Mafalda V., Bárbara Guerra-Carvalho, David F. Carrageta, Daniela Sousa, Raquel Brandão, Carla Leal, Emídio Vale-Fernandes et al. "Follicular fluid from women with polycystic ovary syndrome induces granulosa cells metabolic dysfunction that is exacerbated by obesity." Frontiers in Endocrinology 17 (2026): 1783780.
112) Cannas, Federico, Natalia Zuddas, Flaminia Cesare Marincola, Maria Barbara Pisano, Osama Al Jamal, Mario Moi, Gianfranco Trapani, Roberta Pintus, Angelica Dessì, and Vassilios Fanos. "Impact of early probiotic supplementation on the gut microbiota and urinary and fecal metabolome of formula-fed infants delivered via elective cesarean section." Journal of Pediatric and Neonatal Individualized Medicine (JPNIM) 15, no. 1 (2026): e150107-e150107.
111) Coelho, Maria Margarida Paiva. "A Personalized Medicine Approach for Mitochondrial Respiratory Chain Disorders in Childhood in The New Era of Genome Sequence." (2026).
110) Rafid Feisal, Mohammad. "Structure and Dynamics of Staphylococcus Aureus Response Regulator ArlR DNA-binding Domain by Solution NMR." (2026).
Featured Publication:
109) "Application of Magnetic Resonance Tools for Qualification and Traceability of Mullets."
dos Santos Fogaça, Fabíola Helena, Nara Regina Brandão Cônsolo, Eduardo Solano, Brenda S. de Oliveira, Luisa Souza Almeida, and Luiz Alberto Colnago.
The global seafood industry faces persistent challenges related to product quality, safety, and authenticity, driven by complex supply chains, increasing demand, and the perishable nature of aquatic products. Traditional analytical methods often fall short in providing rapid, comprehensive, and non-destructive insights into the intricate biochemical changes occurring in seafood. 1H Nuclear Magnetic Resonance (1H NMR) spectroscopy has emerged as a powerful and versatile tool for metabolomics, offering a holistic view of the low-molecular-mass compounds (metabolites) present in biological samples. The present study applied 1H NMR for chemical fingerprint identification in mullets (Mugil liza) from Brazil. Dorsal muscle samples were taken from samples during summer, autumn, and winter. The procedure involved freeze-drying the muscle tissue, thereafter extracting polar metabolites using designated solvents (methanol, water, and chloroform), and analyzing them using a 600 MHz spectrometer. As results, 23 metabolites related to degradation biomarkers, essential metabolites, energy expenditure, and muscle structure were identified. The statistical analysis demonstrated a distinct separation between the geographical origins (RJ vs. SC), mostly influenced by variations in the concentrations of lactate, histidine, threonine, phenylalanine, and ornithine. Factors like fish size and seasonal variations did not markedly affect the overall metabolic profile, so underscoring the reliability of these chemicals as stable origin indicators. The Principal Components Analysis identified two distinct groups of metabolites, establishing a profile for each geographical origin. The developed protocol can be applied in the processes for geographical identification. Thus, the 1H NMR tool was efficient in determining metabolites that can be considered biomarkers in analyses for seafood traceability. (2026).
108) Pandey, Aditi, Aanchal Datta, Rajeev Verma, Awadhesh Kumar Jaiswal, Raj Kumar, Kuntal Kanti Das, and Bikash Baishya. "Exploring metabolic signatures in urine using NMR for improved prognosis of gliomas." Metabolomics 22, no. 2 (2026): 32.
107) Hurychová, Jana, Jacek Marciniak, Rachel Ward, Saetbyeol Lee, Sara Šreibr, Romana Moutelíková, Pavel Hyršl et al. "Seasonal trade-offs shape metabolomic and proteomic responses to Varroa destructor parasitisation in honey bees (Apis mellifera)." Insect Biochemistry and Molecular Biology (2026): 104535.
106) Foucan-Perafide, Benoit, Pau Reig-Rodrigo, Karl-Emmanuel Eson, Muriel Sylvestre, Marie-Noëlle Sylvestre, Pedro Marotte, Cédric Caradeuc et al. "Quality Control and Botanical Differentiation of Guadeloupe Honeys Through Integrated Analytical Approaches." Food Control (2026): 112092.
105) Amancio, Bruna R., Elaine Magnani, Alanne T Nunes, Thiago H. Silva, Cristina Cortinhas, Victor V. Carvalho, Luis FM Tamassia et al. "Effect of two-doses of 3-Nitrooxypropanol (3-NOP) on methane emissions, performance, rumen microbiome, and metabolomics in Nellore cattle." Journal of Animal Science (2026): skag068.
104) Reinhardt Piskackova, Theresa, Anna Mascellani Bergo, Lucie Jurkaninova, and Jaroslav Havlik. "Trade-Offs in Organic Wheat: Lower Protein Quality Versus Enhanced Prebiotic Oligosaccharides." Journal of Agricultural and Food Chemistry (2026).
103) Halim, Hani Hafeeza, Azizah Abdul Hamid, Faridah Abas, Nazamid Saari, Ahmed Mediani, Amin Ismail, Mohd Sabri Pak Dek, Wan Khairul Anuar Wan Ali, and Ahmad Haniff Jaafar. "1H-NMR-based Metabolomics, Biological Activities and Characterisation of Volatile Compounds in Lyophilised Coconut (Cocos nucifera L.) Water from Different Coconut Cultivars." Food Bioscience (2026): 108606.
102) Konrad, Barbara, Gabriele Bluemel, Theresa Haitzmann, Tobias Frech, Anke Vandekeere, Mélanie Planque, Visnja Bubalo et al. "A shift in the cellular redox state redirects aspartate for export under glucose deprivation." Cancer & Metabolism 14 (2026): 4.
101) Bhattacharyya, Dipanjan, Abby Kropielnicki, Brian L. Lee, Yeganeh Khaniani, Marcia A. LeVatte, and David S. Wishart. "A Colorimetric Multimetabolite Assay for Quantitative Measurement of Keto Acids in Urine for At‐Home Monitoring of Metabolic Disorders." Journal of Analytical Methods in Chemistry 2026, no. 1 (2026): 4116313.
100) Cerulli, A., R. Cuozzo, A. Polillo, M. Masullo, and S. Piacente. "Metabolite Profiling of “Carciofo di Paestum” PGI and “Bianco di Pertosa”(Cynara cardunculus subsp. scolymus) leaves by 1H NMR and HRMS-Based Metabolomics." Planta Medica 92, no. 03 (2026): P232.
99) Bambace, Maria Florencia, Ker Sin Ng, Kirsten Wiborg Jensen, Adrien Schneider, Mensure Elvan Gezer, Angeliki Marietou, Aviaja Kristiansen Aarseth et al. "Development of novel microbial synthetic consortia for the production of antimicrobial fermentates containing caproate." Applied Microbiology and Biotechnology 110, no. 1 (2026): 85.
98) Luise, Diana, Silvia Bencivenni, Antonio Zurru, Andrea Serra, Luca Laghi, Federico Correa, Francesco Palumbo, and Paolo Trevisi. "Modulation of the nutritional, metabolomic and microRNA profile of colostrum and piglet performance via a high-energy, high-lysine transition diet in sows." Journal of Animal Science and Biotechnology 17 (2026): 43.
97) Cerulli, A., A. Napolitano, M. Masullo, and S. Piacente. "Comprehensive chemical profiling of eco-sustainable Eextracts from “Cavolfiore della Piana del Sele” PGI (Brassica oleracea L. var. botrytis) inner leaves by LC-HRMS-and NMR Metabolomics." Planta Medica 92, no. 03 (2026): SL47.
96) Gdowicz-Kłosok, Agnieszka, Łukasz Boguszewicz, Agnieszka Skorupa, Mateusz Ciszek, Maria Turska-di Amico, Małgorzata Krześniak, Barbara Łasut-Szyszka, Maria Sokół, and Jerzy Wydmański. "Metabolomic Properties of the Fluid from the Surgical Ligation After Breast‐Conserving Therapy and Intraoperative Radiotherapy." (2026).
95) Bientinesi, Elisa, Alessia Vignoli, Sara Ristori, Maria Salobehaj, Gianmarco Bertoni, Daniela Monti, and Leonardo Tenori. "An NMR-Based Protocol for Profiling the Endo-and Exo-Metabolomes in Aβ1-42 Treated Human Astrocytes from Healthy and Alzheimer’s Disease Donors." Metabolites 16, no. 3 (2026): 173.
94) Riboni, Nicolò, Enmanuel Cruz Muñoz, Christina Muhs, Monica Mattarozzi, Marina Caldara, Sara Graziano, Christian Richter et al. "Data Fusion Combining High-Resolution Mass Spectrometry and 1H-NMR Metabolomic Data with Gluten Protein Content to Assess the Impact of Agro-Sustainable Treatments on Durum Wheat." Molecules 31, no. 6 (2026): 922.
93) Nocera, Raffaella. "Multi-omics analysis on prokaryotic model to explore the targets of bioactive natural molecules." (2026).
92) Martinez-Tellez, Borja, Milena Schönke, Artemiy Kovynev, Esther Garcia-Dominguez, Lourdes Ortiz-Alvarez, Aswin Verhoeven, Ranko Gacesa et al. "Roseburia inulinivorans increases muscle strength." Gut (2026).
91) Dias, Sandy Rodrigues, Ana Paula Pereira Bressani, Nádia Nara Batista, Silvia Juliana Martinez, Lúcia Pinheiro Santos Pimenta, Enrique Anastácio Alves, Disney Ribeiro Dias, and Rosane Freitas Schwan. "Microbial and chemical dynamics during self-induced anaerobic fermentation of Amazonian Robusta coffee: Implications for process control and product quality." International Journal of Food Microbiology (2026): 111711.
90) Tesoriere, Giulia. "Investigating the impact of vitamin B6 deficiency on tumor development and metabolic homeostasis in Drosophila melanogaster." (2026).
Featured Publication:
89)" M9 medium composition alters E. coli metabolism during recombinant expression."
Dağ, Ç., Gocenler, O., Cakir, N. et al.
M9 minimal media and its enhanced variants (M9 + and M9++) are widely used for recombinant protein expression in Escherichia coli, particularly for isotopic labeling required in structural biology techniques such as NMR spectroscopy. This study investigates how different compositions of M9-based media (M9, M9+, and M9++) influence bacterial growth, metabolic stress, and central carbon metabolism during recombinant expression of the protein. Using 1D ¹H NMR spectroscopy and multivariate statistical analysis, we observed distinct media-dependent metabolic shifts. Standard M9 exhibited limited bacterial growth and heightened stress-related fermentation, indicated by high ethanol and acetate levels. In contrast, M9 + significantly increased biomass but promoted pronounced overflow metabolism. M9 + + presented intermediate biomass levels and markedly reduced overflow metabolites, favoring biosynthesis pathways, notably increasing valine, acetoin, and formate concentrations. These findings suggest that further optimization of glucose concentration, nitrogen sources, and phosphate buffering could significantly improve the metabolic balance of M9++, creating an enhanced medium tailored for efficient, high-quality recombinant protein expression and isotopic labeling in E. coli. J Biomol NMR 80, 4 (2026).
88) Huang, Xiaoning, Juncheng Chen, Zhuangli Kang, Jun Wang, and Jingguo Xu. "Synergistic effects of abundant and rare bacterial taxa on flavor profiles in Chinese pickles fermented with different vegetables." Food Research International 231 (2026): 118766.
87) Tomisova, Katerina, Anna Mascellani Bergo, Veronika Jarosova, Ondrej Cinek, Lucie Hlinakova, Kateřina Valentová, and Jaroslav Havlik. "In vitro gut microbial catabolism of ferulic acid is characterized by interindividual variability." npj Science of Food 10, no. 1 (2026): 71.
86) Delgado, Ronald Tarazona, Daniel Friedrich, Roseane Farias D'Avila, Diego da Costa Cabrera, and Carlos Rafael Borges Mendes. "From blooms to bioprocesses: Temperature and light modulate growth, protein and carbohydrate content, and metabolome of Aphanothece strains." Bioresource Technology Reports (2026): 102650.
85) Boccia, Antonella Caterina, Laura Ruth Cagliani, Dalila Iannone, and Roberto Consonni. "NMR Profiling of Milk from Treated Dried off Cows." Foods 15, no. 4 (2026): 770.
84) Tesoriere, Giulia. "Investigating the impact of vitamin B6 deficiency on tumor development and metabolic homeostasis in Drosophila melanogaster." (2026).
Featured Publication:
83)"Antioxidant and selective cytotoxic activity of Dipterocarpus obtusifolius flower extract against gastrointestinal cancer, with bioactive component profiling."
Luechine, Adjima, Anchalee Techasen, Jutarop Phetcharaburanin, Sukhonthip Ditcharoen, Watcharin Loilome, Napat Armartmuntree, Kidsada Thanee, Bundit Promraksa, Phunsuk Anantaworasakul, and Malinee Thanee.
Gastrointestinal (GI) malignancies exhibit significant global variations in incidence and mortality. Late diagnosis remains a major challenge especially gastric and cholangiocarcinoma, particularly in Thailand. Novel therapeutic agents from our region’s traditional medicinal plants are crucial for developing cancer treatments. Dipterocarpus obtusifolius Teijsm. ex Miq., widely used in Southeast Asian traditional medicine. This study aims to bridge this gap by evaluating the phytochemical composition, antioxidant activity, cytotoxicity, and pro-apoptotic effects of crude ethanol and ethyl acetate extracts of this flower on human gastric cancer (AGS) and cholangiocarcinoma (KKU-100) cell lines. BMC Complementary Medicine and Therapies (2026).
82) Upton, C., G. Prinsloo, P. Steenkamp, and M. Okpeku. "SUPPLEMENTARY MATERIAL TO: Upton et al. S Afr J Sci. 2026; 122 (1/2), Art.# 21964 HOW TO CITE." S Afr J Sci 122, no. 1/2 (2026).
81) dos Santos, Eduardo Solano Pina, Vinicius Laerte Silva Herreira, Ana Laura dos Santos Munhoz Gôngora, Gabriel Henrique Ribeiro, Luiz Alberto Colnago, Brenda Santos de Oliveira, Fernanda Maria Marins Ocampos et al. "1H‐Nuclear Magnetic Resonance Metabolic Profiling of Pantaneiro and Curraleiro Beef Breeds: Unveiling Adaptation Mechanisms in Brazilian Livestock." New Zealand Journal of Agricultural Research 69, no. 1 (2026): e70001.
80) Gonçalves, Rita, Gemma Walmsley, Thomas W. Maddox, Emily J. Clarke, and Marie M. Phelan. "NMR metabolomic profiling of cerebrospinal fluid from dogs with meningoencephalitis of unknown origin demonstrates metabolic similarities to multiple sclerosis." Metabolomics 22, no. 2 (2026): 24.
79) Choi, Joon Young, Sang Hyuk Kim, Young Jin Pyung, Cheol-Heui Yun, Chin Kook Rhee, Deog Kyeom Kim, and Hyun Woo Lee. "Metabolomic Clusters and Their Association with Small Airway Disease in Asthma." Journal of Asthma and Allergy (2026): 12475920.
78)Ghosh, Soumita, Nicholas F. Lahens, Kayla Barekat, Soon-Yew Tang, Katherine N. Theken, Emanuela Ricciotti, Arjun Sengupta et al. "Depression of tryptophan may contribute to adverse effects of naproxen." Nature Communications (2026).
77) Qin, Panpan, Lelde Berzina, Nina Rica Wium Geiker, Karoline Sandby, Thure Krarup, Karsten Kristiansen, and Faidon Magkos. "Associations Between Gut Microbiome Enterotypes and Body Weight Change During Whole Milk Consumption." Nutrients 18, no. 4 (2026): 563.
76) Shebardina, Natalia G., Sergey Yu Petrov, Elena N. Iomdina, Natalia N. Novikova, Sergey V. Goriainov, Vasily A. Ivlev, Anastasia N. Zhuravleva et al. "Molecular Portraits of Aqueous Humor in Primary and Pseudoexfoliative Open-Angle Glaucoma." Journal of Proteome Research (2026).
75) He, Xuan, Zhichao Zhang, Ulrica Johansson, Daniel J. Tancredi, Olle Hernell, Bo Lönnerdal, Torbjörn Lind, and Carolyn M. Slupsky. "Metabolic impact of reduced-protein Nordic diet-based complementary feeding: a secondary analysis of a randomized controlled study." The American Journal of Clinical Nutrition (2026): 101238.
74) Upton, Cassandra, Gerhard Prinsloo, Paul Steenkamp, and Moses Okpeku. "Comparative metabolomic analyses of Holothuria cinerascens and Pseudocnella sykion." South African Journal of Science 122, no. 1-2 (2026): 1-9.
73) Correa, Katia Celina Santos, Gabriel Henrique Ribeiro, Odair Correa Bueno, Luiz Alberto Colnago, Iran Malavazi, and Dulce Helena Ferreira de Souza. "Functional Characterization and Antifungal Activity of Insect-Derived Chitinases Expressed in Pichia pastoris." Polymers 18, no. 3 (2026): 402.
72) Ling, Magdalene Tan Mei, Illayaraja Krishnan, Kayatri Govindaraju, Yogeswaran Lokanathan, Teh Chin Hoe, Mohd Rafizul Mohd Yusof, Baskar Subramani, and Baharudin Ibrahim. "Metabolomic Analysis of Metabolic Syndrome and Effects of Wharton's Jelly Mesenchymal Stem Cell Small Extracellular Vesicles Therapy in Rat Models Using Nuclear Magnetic Resonance Spectroscopy." Cell Biochemistry and Function 44, no. 2 (2026): e70180.
71) Montaño-Herrera, Anay, Diego Hidalgo-Martínez, Oscar Camacho-Nieto, Alma Delia Hernández-Fuentes, José Manuel Pinedo-Espinoza, and Elvia Becerra-Martínez. "Impact of NPK soil fertilization on the metabolomic profile of pear (Pyrus communis L.) fruit juice using NMR approach." Food Research International (2026): 118684.
70) Arroyo-Xochihua, Omar, Rossana C. Zepeda, and Alberto Sánchez-Medina. "RAW 264.7 macrophage cell line as a metabolomic model for analyzing and understanding inflammation processes." Naunyn-Schmiedeberg's Archives of Pharmacology (2026): 1-23.
69) Pappa, Evgenia, Alexandros Lyratzakis, Napoleon Christroforos Stratigakis, and Georgios Tsiotis. "Production of Poly (3-hydroxybutyrate) by Pseudomonas sp. phDV1 Strains Using Second Cheese Whey Effluent." Microorganisms 14, no. 2 (2026): 464.
68) Xu, Rihua, Melinda J. Mayer, Mark Philo, Gwénaëlle Le Gall, Guesh Mulaw, Alise Ponsero, and Arjan Narbad. "Combining Lactiplantibacillus plantarum and Bifidobacterium adolescentis can improve GABA production in faecal fermentations." Journal of Applied Microbiology (2026): lxag047.
67) Zhang, Huiyun Y., Xinling Li, and Huaibin Kang. "High freeze-thaw stability of Pickering emulsion stabilized by WPI-carboxymethyl cellulose particles and its effect on frozen pork patties as a fat substitute." Food Science of Animal Resources 46, no. 1 (2026): 26.
66) Nascimento, Maria BA, Maria MS Gouveia, Maryssa PP Dos Santos, Alessandre C. Crispim, Edmilson R. Da Rocha‐Júnior, Edson S. Bento, Thiago M. Aquino et al. "Association Between Habitual Food Intake and Energy Metabolism‐Related Urine Metabolites in Female Soccer Players." Molecular Nutrition & Food Research 70, no. 3 (2026): e70389.
Featured Publication:
65) "NMR-based metabolic measures of chronic stable angina and myocardial infarction in patients with diabetes mellitus."
Gupta, Ashish, Shiridhar Kashyap, Khushbhu Meena, Deepak Kumar, Amit Gaurav, Ankit Kumar Sahu, Subhash Yadav, Sudeep Kumar, and Aditya Kapoor.
Diabetes mellitus (DM) and coronary artery disease (CAD) are increasingly interconnected public health concerns, with their simultaneous occurrence becoming more common worldwide [1], [2]. DM is widely recognized as a key contributor to both the initiation and progression of CAD, not only accelerating its onset but also leading to more complex arterial lesions and less favorable clinical outcomes in affected individuals [3], [4]. Although DM has long been associated primarily with metabolic abnormalities, recent research highlights the role of broader metabolic disruptions in the development and advancement of CAD as well [5], [6]. In this context, metabolomics has gained attention as an advanced analytical tool capable of thoroughly examining small molecules, including substrates, intermediates, and metabolic byproducts [7]. By capturing dynamic metabolic changes, this approach provides valuable insights into disease mechanisms, facilitates the identification of novel biomarkers, and supports the creation of predictive models for assessing cardiovascular risk [8], [9]. Importantly, metabolomics holds potential for pinpointing individuals at a heightened risk of atherosclerosis and future cardiac events, thereby paving the way for more personalized prevention and treatment strategies [5].
Beyond traditional biomarkers, various metabolomic and lipid-based indicators—such as ceramides, acylcarnitines, apolipoproteins, and adiponectin—have shown independent associations with an elevated risk of developing and worsening CAD. For example, increased concentrations of ceramides have been linked to the pathogenesis of atherosclerosis through mechanisms involving lipotoxicity, inflammation, and programmed cell death [10]. Furthermore, specific metabolite ratios—such as the acylcarnitine C4/C18:2 and the ceramide C24:1/C24:0—have demonstrated predictive value not only for greater CAD severity, as measured by the SYNTAX score, but also for adverse clinical outcomes in individuals with concurrent CAD and DM [8]. Simultaneously, growing evidence suggests that metabolomic signatures offer superior predictive power for future diabetes onset, major diabetic complications, and CAD progression compared with conventional clinical indicators [9].
However, despite these advances, existing metabolomic studies in patients with coexisting DM and CAD exhibit several important limitations. Many investigations lack stratification based on disease severity or clinical presentation, thereby failing to identify severity-specific metabolic signatures associated with distinct ischemic phenotypes such as chronic stable angina (CSA) and myocardial infarction (MI). In addition, metabolomic findings are often insufficiently integrated with established clinical indicators or angiographic outcomes, limiting their translational relevance and applicability in routine cardiovascular risk assessment.
To address these unresolved gaps, we conducted a retrospective study involving a well-defined cohort of patients with DM who had undergone either urgent or elective coronary angiography. The primary objective was to evaluate the association between filtered serum-based metabolic signatures—obtained using nuclear magnetic resonance (NMR) spectroscopy—and the complexity of major adverse cardiovascular events, with a particular focus on distinguishing metabolic profiles associated with CSA and MI. By integrating metabolomic data with clinical and angiographic characteristics, this study aims to clarify severity-specific metabolic alterations in DM-associated CAD and to advance the development of clinically relevant predictive tools for improved risk stratification and personalized management in this high-risk population. Clinica Chimica Acta (2026): 120883.
64) Abd-Ghafar, Siti Zulaikha, Nur Khaleeda Zulaikha Zolkeflee, Ninie Baharuddin, Rudiyanto R, Maulidiani M, Natrah Ikhsan, and Faridah Abas. "1H NMR-based metabolomics reveals bioactive compounds from the diatom Halamphora sp. extracted with different solvents." Preparative Biochemistry & Biotechnology (2026): 1-13.
63) Toledo-Gil, Rosa, Pasquale Crupi, Jose Enrique Yuste-Jiménez, and Fernando Vallejo. "Multiplatform Metabolomics for the Design and Characterization of a Mediterranean Plant-Based Lyophilized Powder from Agro-Industrial By-Products." Foods 15, no. 3 (2026): 565.
62) Alzaabi, Aliyaa Ali, Dheyab Saleh Abubaker, Jiranuwat Sapudom, Yamanappa Hunashal, Fabio Piano, and Jeremy Teo. "Chronic Cholesterol Exposure Disrupts Macrophage Polarization and Cytokine Secretion in a 3D Microenvironment." ACS Omega (2026).
61) Hernandez-Hernandez, Karina. "Investigating HER2 Breast Cancer Metabolomics." Master's thesis, California State University, Fresno, 2026.
60) Paez, Kaitlyn, Claire Kopachik, Ali Yilmaz, Sangeetha Vishweswaraiah, Nadia Ashrafi, Nazia Saiyed, Nicolette Monacelli et al. "Unraveling the impact of common medications on biomarker patterns in Alzheimer's disease and mild cognitive impairment." Journal of Alzheimer's Disease Reports 10 (2026): 25424823251387281.
59) Du, Juanjuan, Linyuan Feng, Ying Wang, Jinxuan Cao, Jinpeng Wang, Yuemei Zhang, Xiaoyan Tang et al. "Research on Physicochemical Properties and Taste of Coppa Influenced by Inoculation with Staphylococcus During Air-Drying Process." Foods 15, no. 3 (2026): 459.
58) Shree Ganesh, Mithraa, Pinki Kumari Singh, Meenakumari Sakthivelu, Karthick Selvam, and Pachaiappan Raman. "Biophysical and Analytical Techniques for Molecular Structure and Functional Analysis in Microbial Systems." In Industrial Microbiology and Biotechnology: Trends in Microbial Biotechnology, pp. 429-466. Singapore: Springer Nature Singapore, 2026.
57) Ganesh, Mithraa Shree, Pinki Kumari Singh, and Pachaiappan Raman. "Biophysical and Analytical Techniques." Industrial Microbiology and Biotechnology: Trends in Microbial Biotechnology (2026): 429.
56) Yen, Tzu-Hsin, Sheng-Han Lee, Hao-Jan Liang, Zou-Xiao Huang, Chi-Tsung Chen, Christopher Li, and Ching-Yu Lin. "Metabolomics-Based Investigation of PFOS-Induced Molecular Perturbations Across Multiple Rat Organs." Environmental Toxicology and Pharmacology (2026): 104957.
55) Navarro-Perez, Valeria, Erika Fernandez-Martinez, Francisco García-Sánchez, Simón-Grao Silvia, and Vicente Gimeno-Nieves. "Boron Toxicity Alters Yield, Mineral Nutrition and Metabolism in Tomato Plants: Limited Mitigation by a Laminaria digitata-Derived Biostimulant." Agronomy 16, no. 2 (2026): 247.
54) Li, Xin, Cynthia Lebeaupin, Aikaterini Kadianaki, Clementine Druelle-Cedano, Niklas Vesper, Charlotte Rennert, Júlia Huguet-Pradell et al. "Activated ATF6α is a hepatic tumour driver restricting immunosurveillance." Nature (2026): 1-12.
Featured Publication:
53) "Multi-omics reveals nitrogen dynamics associated with soil microbial blooms during snowmelt."
Sorensen, Patrick O., Ulas Karaoz, Harry R. Beller, Markus Bill, Nicholas J. Bouskill, Jillian F. Banfied, Rosalie K. Chu et al.
Snowmelt triggers a soil microbial bloom and crash that affects nitrogen (N) export in high-elevation watersheds. The mechanisms underlying these microbial dynamics are uncertain, making soil nitrogen processes difficult to predict as snowpack declines globally. Here, integration of genome-resolved metagenomics, metatranscriptomics and metabolomics in a high-elevation watershed revealed ecologically distinct soil microorganisms linked across the snowmelt time-period by their unique nitrogen cycling capacities. The molecular properties and transformations of dissolved organic N suggested that degradation or recycling of microbial biomass provided N for biosynthesis during the microbial bloom. Winter-adapted Bradyrhizobia spp. oxidized amino acids anaerobically and had the highest gene expression for denitrification during the microbial bloom. A pulse of nitrate was driven by spring-adapted Nitrososphaerales after snowmelt, but dissimilatory nitrate reduction to ammonia (DNRA) gene expression indicated significant nitrate retention potential. These findings inform our understanding of nitrogen cycling in environments sensitive to snowpack decline due to global change. Nature Microbiology (2026): 1-16.
52) Giménez-Valero, Carlos, Dámaris Núñez-Gómez, Pilar Legua, Juan José Martínez-Nicolás, Vicente Lidón, and Pablo Melgarejo. "Integrative Metabolomic and Physiological Responses of Citrus sinensis to Soil Management in a Semi-Arid Orchard." Plants 15, no. 3 (2026): 386.
51) Hernández‐Adasme, Cristian, Vicente Martínez, Mónica Flores, Teresa Mestre, Antonio Frutos‐Tortosa, Ulises Navarro‐Zapata, and Alejandro Martínez‐Moreno. "Optimization of light spectrum and intensity to enhance growth and metabolite profiles in green and purple radish microgreens cultivated in a vertical farming system." Journal of the Science of Food and Agriculture (2026).
50) Tago, Kanako, Shin-Ichi Tokuda, Yuya Sato, Yasuyo Sekiyama, Yong Guo, Yong Wang, Shintaro Hara et al. "Phyllosphere of senescent crops as a microbial N 2 O source." Frontiers in Microbiology 16 (2026): 1650612.
49) Iliou, Aikaterini, Elena Chekmeneva, Rui Climaco Pinto, Fotini E. Koukouzeli, Yiannis Ntounias, Konstantina Georgakopoulou, Marialena Pouliou et al. "A Multiomic Approach Integrating Genomic and Metabolomic Data Highlights Colorectal Cancer Pathways." Journal of Proteome Research (2026).
48) Hanusrichterova, Juliana, Eva Baranovicova, Romana Barosova, Maros Kolomaznik, Pavol Mikolka, Petra Kosutova, Daniela Mokra, Juraj Mokry, and Andrea Calkovska. "Strain-specific Metabolomic and Inflammatory Profiles in Guinea Pigs After LPS-induced Inflammation: Comparative Analysis of Dunkin-Hartley and Trik Strains." Respiratory Physiology & Neurobiology (2026): 104547.
47) Nair, Girish B., Faizan Faizee, Zachary Smith, Sayf Al-Katib, Nadia Ashrafi, Ali Yilmaz, Romana Ashrafi Mimi et al. "Distinct Metabolic Signatures Linked to High-Resolution Computed Tomography Radiographic Phenotypes in Stable and Progressive Fibrotic Lung Disease." Metabolites 16, no. 1 (2026): 82.
46) Kotwal, Shashikant, Jong Wook Shin, and Tedros Bezabeh. "Predicting and monitoring treatment response via 1-H NMR metabolomics of plasma, serum, and urine." Biophysical Reviews (2026): 1-14.
Featured Publication:
45) "Metabolic signatures of the integrated profile of cardiovascular autonomic modulation and cardiorespiratory fitness in apparently healthy individuals."
Signini, Étore De Favari, Alex Castro, Patrícia Rehder‐Santos, Juliana Cristina Milan‐Mattos, Juliana Magalhães de Oliveira, Alberto Porta, Renato Lajarim Carneiro, Antônio Gilberto Ferreira, Regina Vincenzi Oliveira, and Aparecida Maria Catai.
Cardiovascular autonomic modulation (CAM) and cardiorespiratory fitness (CRF) are well-established predictors of health. Identifying metabolites associated with integrated CAM-CRF profiles may help characterize healthy physiological states. This study aimed to investigate metabolic signatures representing distinct CAM-CRF profiles in apparently healthy individuals. Non-obese individuals (n = 127, 43 ± 14 years) underwent fasting blood collection for serum metabolome (SM) analysis, cardiovascular assessment, and a cardiopulmonary exercise test to access CAM and CRF. CAM-CRF profiles were obtained separately by sex using principal components analysis (PCA) of CAM and CRF. Subjects' scores from the first two principal components of the PCA were used to generate the groups. Groups' SM were compared using one-way ANOVA (controlling for age) and metabolite correlations were analyzed using the subjects' scores (controlling for age and body mass index), considering p < 0.01. In females, low sebacic acid levels were associated with high cardiac parasympathetic modulation (CPM) and greater cardiovascular complexity. In males, low ornithine levels corresponded to a profile with high CPM, baroreflex sensitivity (BRS), and CRF. Choline, betaine, N,N-dimethylglycine levels in females, and glucose and sarcosine in males, were negatively correlated with CPM, BRS, CRF and cardiovascular complexity. These metabolites reflect integrated CAM-CRF conditions, enhancing the understanding of underlying metabolic profiles. Physiological Reports 14, no. 2 (2026): e70739.
44) Laganà, Antonio, Barbara Billè, Angela Di Pietro, Alessio Facciolà, Consuelo Celesti, Daniela Iannazzo, Mariachiara Galati, Maria Maisano, Tiziana Cappello, and Giuseppa Visalli. "Toxicological and metabolomic assessment of the acute and sub-chronic effects of nanoceria (≤ 50 nm) on the human alveolar cells A549." Journal of Hazardous Materials (2026): 141239.
43) de Andrade Príncipe, Leonardo, Pedro Henrique Marchi, Carolina Dantas Micheletti, João Marcos Bovetto de Campos Valim, Nara Regina Brandão Cônsolo, Raquel Silveira Pedreira, Juliana Toloi Jeremias et al. "Serum metabolomics identifies metabolic changes in obese cats fed enzymatically hydrolyzed poultry byproduct meal." Journal of Veterinary Internal Medicine 40, no. 1 (2026): aalaf075.
42) Ko, Haeun, Chan Johng Kim, Seungyeon Choi, Jaegyun Noh, Seung Won Kim, Juhun Lee, Seohyun Byun et al. "Commensal microbe-derived butyrate enhances T follicular helper cell function to boost mucosal vaccine efficacy." Microbiome 14, no. 1 (2026): 37.
41) Kalra, Sanjana, Toheeb O. Ayinde, and Abiola O. Olaitan. "The critical role of hcpR in regulating nitrosative stress defense in Clostridioides difficile." Applied and Environmental Microbiology (2026): e01988-25.
40) Singh, Upendra;Al Ahmadi, Renad Z.;Al#Nemi, Ruba;Dhahri, Manel;Alarawi, Mohammed;Aziz, Abdul;Bushulaybi, Faisal Abdulaziz;Mashtoly, Tamer Abdalla;Emwas, Abdul#Hamid;Jaremko, Lukasz;Jaremko, Mariusz. “Enhancing detection of low abundance metabolites in proton NMR through band selective suppression and presaturation (2026)
39) Cirillo, Arianna, Guillaume Resimont, Justine Massias, Yann Guitton, François Jouret, Emmanuelle Vidal-petiot, Martin Flamant, Pierre Delanaye, and Pascal de Tullio. "Multiplatform urine metabolomics for non-invasive prediction of one-year renal function decline in kidney transplant recipients: a pilot study." (2026).
38) Xie, Zhongping, Hong Zou, Lijing Gong, Minghui Lin, and Caihua Huang. "Establishment of a mouse model of TMAO‐induced cardiac injury and application of MICT intervention." Animal Models and Experimental Medicine (2026).
37) Mäntyselkä, Sakari. "Anabolic glucose metabolism in muscle: Role of the serine synthesis pathway and mechanical loading." PhD diss., University of Jyväskylä, 2026.
Featured Publication:
36) "Effects of pulsed electric fields (PEFs) on fermentation quality characteristics and microbial community of kimchi."
Kim, Si-Yeon, Se-Ho Jeong, Yang-An Kang, Jiyun Jung, Ki-Min Lee, Emmanuel Hitayezu, Intan Rizki Mauliasari, Kwang Hyun Cha, and Dong-Un Lee
Kimchi, a lactic acid bacteria (LAB)-fermented food, is consumed globally at approximately 1.5 million tons annually. This study evaluated, for the first time, the effect of pulsed electric field (PEF) pretreatment on the microbial community of kimchi. Chinese cabbage was pretreated at 1.5 kV/cm, brined with varying NaCl concentrations (5, 10, or 15 g/L), and fermented at 4°C for 25 days. PEF pretreatment effectively maintained cellular integrity and volume. The dominant microbial taxa differed based on pretreatment, with Weissella prevailing in PEF-treated groups and Lactobacillus in untreated samples. PEF pretreatment inhibited Lactobacillus growth, the primary lactic acid producer, resulting in distinct sensory profiles compared with untreated samples. The PEF-treated group exhibited a slower LAB growth rate, with fermentation delayed by approximately 5–7 days, compared with the untreated group. These findings suggest that PEF pretreatment can effectively control the fermentation and microbial composition of kimchi, extending the shelf life. LWT (2026): 118942.
35) Reddin, Carl J., Sandra Götze, Charlotte Eymann, Christian Bock, Gisela Lannig, Magnus Lucassen, and Hans-Otto Pörtner. "Acute warming combined with hypoxia and hypercapnia challenges but does not overwhelm Ostrea edulis passive tolerance mechanisms." Journal of Experimental Biology (2026): jeb-250898.
34) Garla, Venkateswarlu, Bhargavi Suddikattu, Priyanka Ingle, Saurabh Dahiya, M. Suchitra, Sridhar Babu Gummadi, Sumitra Singh, and Rakesh K. Sindhu. "18 NMR spectroscopy: molecular structure decoding." Handbook of Natural Bioactive Compounds: Extraction, Isolation and Identification (2026): 453.
Featured Publication:
33) "Protection of multiple aspects of Alzheimer’s disease pathology using dietary supplementation with taurine."
Tognoni, Christina M., Rajshree Ghosh Biswas, Zeynep Melis Suar, Isabel Carreras, Alpaslan Dedeoglu, and Bruce G. Jenkins.
As Alzheimer’s disease (AD) continues to rise amongst the aging population, preventative measures such as dietary or lifestyle changes represent an attractive option to mitigate the burden. Taurine, known for its antioxidant and anti-inflammatory properties, may also play a neuroprotective role. This study investigates the protective effects of taurine supplementation in 5xFAD mice. Taurine was administered through drinking water at doses of 0, 500, 1000, 2000, 4000 mg/kg/day, with no change in water consumption or body mass was observed. Postmortem markers of neuroinflammation using cytokine profiling demonstrated that 2000 mg/kg/day was effective at invoking a protective response against AD progression. An acute dose of this concentration, in older mice, was also sufficient at protecting the dentate gyrus against gliosis and preventing volume loss. Supplementation of taurine for 1–2 months in older mice also led to a small reduction in the Aβ42 burden. This suggests that in pre-clinical models of AD, both long-term and acute administration of taurine can mitigate pathological AD characteristics. High-resolution magic angle spinning magnetic resonance spectroscopy (HRMAS-MRS) was used to analyze and differentiate the molecular profile of 3 key AD-affected regions: frontal cortex, ventral and dorsal hippocampus. Significant changes in 5 metabolites (GABA, glutamate, NAA, aspartate and scyllo-inositol) were observed in AD at two different ages (3–4 months and 8 months). Taurine supplementation changed the values of a number of metabolites, including NAA and glutamate, to levels closer to that of the wild-type mice, suggesting neuroprotection of these metabolites. Overall, these findings support dietary taurine supplementation as a promising preventative strategy for AD. Scientific Reports (2026).
32) Teras¹, Roland Martin, Jyri Teras, Igor Kuprijanov, Caroline Khaddaj, Adriana Kalmõkova, Liisi Karlep, Ago Samoson, Lauri Toom, Airi Rump, and Sirje Rüütel Boudinot. "Systemic purinergic dysregulation in melanoma revealed by soluble P2X4 receptor fragments." (2026).
31) Pereira, Ramona Ramalho de Souza, Caíque Olegário Diniz E. Magalhães, Elizabeth Luciana Marinho Miguel, Larissa Vieira Toledo, Débora Ribeiro Orlando, Alan Rodrigues Teixeira Machado, Bruno Del Bianco Borges, Luciano José Pereira, Marco Fabrício Dias‐Peixoto, and Eric Francelino Andrade. "Alterations in brain metabolites in rats with experimental periodontitis: A metabolomic approach." Journal of Periodontology (2026).
30) Suthar, Nisha J., Eoin Wims, Michael Dineen, Raghunath Pariyani, Denis Lynch, Lorraine M. Bateman, David T. Mannion et al. "Effects of including white clover and plantain species in perennial ryegrass pastures on qualitative indicators and metabolome of milk." International Journal of Dairy Technology 79, no. 1 (2026): e70089.
29) Shrestha, Manju, Yun‐Seo Kil, Yunju Jo, Simmyung Yook, Ki Hyun Kim, Dongryeol Ryu, Joo‐Won Nam, and Jee‐Heon Jeong. "Comparative metabolomic and transcriptomic analysis of 2D and 3D mesenchymal stem cell cultures for improved therapeutic applications." British Journal of Pharmacology 183, no. 2 (2026): 379-392.
28) Kim, Yujin, Se Hee Lee, Mi-Ja Jung, Jisu Lee, Yeon Bee Kim, Young-Shick Hong, and Tae Woong Whon. "Strain-specific metabolic endpoints and predictive phase classification in gnotobiotic kimchi fermentation." Food Chemistry (2026): 147886.
27) Pradhan, Libun, Chinmay Kumar Sahoo, Blessymol Varghese, Prasanta Purohit, Manoj Kumar Patro, Samira Kumar Behera, and Sulakshana P. Mukherjee. "Exploring Dysregulated Plasma Metabolites in Sickle‐Cell Disease Patients Using Comparative NMR‐Based Metabolomics." Magnetic Resonance in Chemistry 64, no. 1 (2026): 5-11.
26) Medina-Mendoza, Gustavo G., Elvia Becerra-Martínez, Yair Cruz-Narváez, Gerardo Noriega-Altamirano, José Javier Castro-Arellano, Oscar Camacho-Nieto, and Diego Hidalgo-Martínez. "Effect of agroecological and conventional farming systems on the metabolomic profile of yellow and red maize assessed by 1H NMR." Food Chemistry: X (2026): 103508.
25) Ursulino, Jeferson S., Edmilson RR Junior, Larissa S. Pinto, Paula Sandrin-Garcia, Denise Q. Nascimento, Thiago S. Fragoso, and Thiago M. Aquino. "NMR-based metabolomics reveals distinct metabolic profiles in juvenile systemic lupus erythematosus and juvenile idiopathic arthritis." Clinica Chimica Acta (2026): 120836.
24) De Rosa, Michele, Silvia Canepari, Giovanna Tranfo, Ottavia Giampaoli, Adriano Patriarca, Agnieszka Smolinska, Federico Marini, Lorenzo Massimi, Fabio Sciubba, and Mariangela Spagnoli. "Unveiling the Metabolic Fingerprint of Occupational Exposure in Ceramic Manufactory Workers." Toxics 14, no. 1 (2026): 56.
23) Babaee, Saeedeh, Moses Mayonu, Nora E. Demers, Gerardo Toro-Farmer, Lisa A. Waidner, and Bo Wang. "Metabolomics analysis of eastern oysters (Crassostrea virginica) exposed to Vibrio cholerae toxin." International Journal of Environmental Health Research (2026): 1-14.
22) Toledo-Gil, Rosa, Pasquale Crupi, Jose Enrique Yuste-Jiménez, and Fernando Vallejo. "Multiplatform Metabolomics for the Design and Characterization of a Mediterranean Plant-Based Lyophilized Extract from Agro-Industrial By-Products." (2026).
21) Singh, Upendra, Renad Z. Al Ahmadi, Ruba Al Nemi, Manel Dhahri, Mohammed S. Alarawi, Abdul Aziz, Faisal Abdulaziz Bushulaybi et al. "Enhancing detection of low abundance metabolites in proton NMR through band selective suppression and presaturation." Natural Products and Bioprospecting 16, no. 1 (2026): 16.
20) Dall'Asta, Margherita, Francesca Danesi, and Luca Laghi. "Dietary habits and vaginal." Advances in Vaginal Microbiome and Metabolite Research: Genetics, Evolution, and Clinical Perspectives (2026).
19) Laloë, Denis, Julie Gatien, Camille Dupuy, Catherine Archilla, Ludivine Laffont, Sylvie Ruffini, Eugénie Canon et al. "In vitro production significantly reduces metabolic differences among bovine embryos." Metabolomics 22, no. 1 (2026): 12.
18) Dardmeh, Nazila, Ali A. Moazzami, Masoud Yavarmanesh, Maryam M. Matin, and Hamid Noorbakhsh. "Effect of probiotic administration of Bifidobacterium animalis subsp. lactis BB‐12 and Lactiplantibacillus plantarum ATCC 14917 on metabolic profiles in an IBS‐D rat model: a metabolomic analysis approach." Journal of the Science of Food and Agriculture 106, no. 1 (2026): 620-631.
17) Rivas-Garcia, Lorenzo, Tamara Y. Forbes-Hernández, Pablo Cristóbal-Cueto, David Tébar-García, Alfonso Salinas-Castillo, Ana Cristina Abreu, Ignacio Fernández et al. "Rosa x hybrida: A New Tool for Functional Food Development with Triple-Negative Breast Antitumoral Implications." International Journal of Molecular Sciences 27, no. 2 (2026): 907.
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Case Studies
The case studies below showcase various studies that were performed using Chenomx technology and services.
Analyzing the Metabolic Effects of Acetaminophen
Developing Biomarkers for Adverse Drug Responses
Pathways From Serological Metabolite Profiles
Acetaminophen is the most common identifiable cause of acute liver failure, and is an excellent model compound for studying liver toxicity. Acetaminophen toxicity has thus become a very active area of research. Identifying and quantifying metabolites associated with acetaminophen toxicity is an integral part of this research, and Chenomx is uniquely equipped to extract this information from biofluid samples.
Drug-induced liver injury is the leading reason that drug candidates fail. Identifying a suite of toxicity biomarkers for use in preclinical screening of drug candidates will allow drugs with harmful side effects to be identified earlier. Biomarkers that can be used to monitor or stage diseases will also offer insight into the net metabolic effect of a drug and can provide information for developing new drugs or adjusting treatment. Chenomx software offers powerful tools to aid in identifying these biomarkers.
Metabolomic data sets obtained using Chenomx NMR Suite often require additional analysis to place them in proper context. The GeneGo pathway analysis platform can help establish this context. In this note, we present an example analysis using serological metabolic profiles from Chenomx NMR Suite, known inflammatory markers from prior studies of the K/BxN mouse model and the GeneGo platform to generate a mechanistic hypothesis for the K/BxN mouse model.
Application Notes
Methods
Accurate CSI Quantification for Targeted Profiling
Accurately quantifying metabolites using targeted profiling in Chenomx NMR Suite requires using a chemical shape and shift indicator (CSI) of known concentration. As a result, the accuracy of the CSI concentration has a significant influence on quantification accuracy using this technique. Measuring ratios of the CSI peak area with that of a second, commercially available standard under optimal acquisition conditions offers a simple method of accurately measuring the concentration of the CSI.
Optimizing Spectra for Metabolomics
Chenomx Processor allows you to work with NMR spectra from a variety of sources, helping you apply phasing and baseline correction through manual and semi-automated tools, and offering advanced lineshape correction through reference deconvolution. Processor also allows you to define chemical shape indicator (CSI) parameters and determine sample pH via indicator compounds. These are necessary prerequisites to analyzing your spectra with Chenomx Profiler.
Sample Types
Targeted Profiling of Common Metabolites in Saliva
Saliva is an excellent biofluid for analysis by targeted profiling. It is easily collected by individuals with minimal training, using noninvasive techniques. Targeted profiling of saliva samples can provide identification and quantification of many of the small molecule metabolites commonly found in saliva, and may allow the development of simple screening procedures for a variety of diseases. In this note we present a list of common metabolites found in human saliva, and techniques for targeted profiling of saliva spectra with Chenomx NMR Suite.
Metabolites in Blood Serum and Plasma
Blood serum and plasma are biofluids that are increasingly important in NMR-based metabolomics analysis. In this note we discuss several approaches to the analysis of serum using Chenomx NMR Suite, focusing on relaxation-edited NMR (CPMG) and physical separation of protein and metabolites using ultrafiltration. The CPMG method is simpler to apply, but the spectra are easier to analyze when protein is removed from a sample.
Targeted Profiling of Common Metabolites in Urine
Urine is a readily-collected, information-rich biofluid that can provide insight into the metabolic state of an organism. As a result, urine is often a focus in metabolomics investigations using NMR and MRI spectroscopy, in both diagnostic and monitoring applications. Targeted profiling is a powerful tool that can drive such studies, providing direct identification and quantification of a variety of metabolites. In this note we present a list of common metabolites found in many NMR spectra of human urine and several strategies for approaching targeted profiling of such spectra with Chenomx NMR Suite.
Identifying Metabolites in Biofluids
In this note we present a rapid, efficient method for identifying metabolites in biofluid NMR spectra using targeted profiling. Conventional techniques for identifying and quantifying metabolites in such spectra are labor-intensive and error-prone, as positions and linewidths of peaks can vary widely with changes in pH and other solution matrix effects. The length of time and level of operator skill needed to analyze large numbers of these complex spectra are significant barriers to the widespread application of NMR in metabolomics.
Statistical Analysis
Statistical Analysis of Targeted Profiling Data
Analysis of 1H NMR spectra in metabolomics studies often requires multivariate pattern recognition techniques to extract meaningful results. Targeted profiling offers the ability to analyze spectra based directly on the identity and quantities of individual compounds. Profiles created using targeted profiling in Chenomx NMR Suite can be used as input in statistical software packages such as Umetrics SIMCA-P. Performing PCA on Chenomx targeted profiles yields information-rich results that allow rapid biological interpretation, since group separation can be directly correlated to variations in specific metabolite concentrations.
Correcting Lineshapes in NMR Spectra
In this note we present a method for removing lineshape distortions from nuclear magnetic resonance (NMR) spectra prior to more detailed analysis. Reference deconvolution is a method of reconstructing an ideal spectrum by removing lineshape distortions caused by field inhomogeneity. Applying reference deconvolution has been found to improve the quality of fit of a spectrum using targeted profiling in Chenomx NMR Suite. However, successful application of reference deconvolution to a spectrum requires some preprocessing and the presence of an appropriate reference peak.
Statistical Analysis of Spectral Binning Data
Analysis of 1H NMR spectra in metabolomics studies often requires multivariate pattern recognition techniques to extract meaningful results. Spectral binning is an effective data reduction technique commonly used to prepare spectra for multivariate analysis. Spectral binning output from the Profiler module of Chenomx NMR Suite can readily be analyzed with multivariate analysis software packages like Umetrics SIMCA-P.