Role Publications

2024

• Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors.

  Cruz, A. K., Alves, M. A., Andresson, T., Bayless, A. L., Bloodsworth, K. J., Bowden, J. A., Bullock, K., Burnet, M. C., Neto, F. C., Choy, A., Clish, C. B., Couvillion, S. P., Cumeras, R., Dailey, L., Dallmann, G., Davis, W. C., Deik, A. A., Dickens, A. M., Djukovic, D., … da Silva, S. (2024). Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors. Metabolomics 20(6): 125.

• A comparison of dry bean and pea consumption on serum cholesterol: A randomized controlled trial in adults with mild hypercholesterolemia.

  Bell, R.C., Zahradka, P., Aliani, M., Liang, Y., Jarman, M., MacKenzie, M., Chan, C., Ozga, J., Proctor, S., Wishart, D. and Taylor, C.G. (2024) A comparison of dry bean and pea consumption on serum cholesterol: A randomized controlled trial in adults with mild hypercholesterolemia. J. Nutri. 154(11): 3375-3387.

2022

• Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

  Wen B, Njunge JM, Bourdon C, Gonzales GB, Gichuki BM, Lee D, Wishart DS, Ngari M, Chimwezi E, Thitiri J, Mwalekwa L, Voskuijl W, Berkley JA, Bandsma RH. Sci Adv. 2022 Feb 18;8(7):eabj6779. doi: 10.1126/sciadv.abj6779. Epub 2022 Feb 16. PMID: 35171682; PMCID: PMC8849276.

• The impact of methodological choices when developing predictive models using urinary metabolite data

  Krstic N, Multani K, Wishart DS, Blydt-Hansen T, Cohen Freue GV. Stat Med. 2022 Aug 15;41(18):3511-3526. doi: 10.1002/sim.9431. Epub 2022 May 14. PMID: 35567357.

• Urinary metabolomics to develop predictors for pediatric acute kidney injury

  Tian S, Cao X, Greiner R, Li C, Guo A, Wishart DS. J Chem Inf Model. 2021 Jun 28;61(6):3128-3140. doi: 10.1021/acs.jcim.1c00144. Epub 2021 May 26. PMID: 34038112.

2021

• Applications of metabolomics to precision nutrition.

  LeVatte M, Keshteli AH, Zarei P, Wishart DS. 2022;15(1):1-9. doi: 10.1159/000518489. Epub 2021 Sep 8. PMID: 34518463.

2020

• CyProduct: A software tool for accurately predicting the byproducts of human cytochrome P450 metabolism

  Tian S, Cao X, Greiner R, Li C, Guo A, Wishart DS. J Chem Inf Model. 2021 Jun 28;61(6):3128-3140. doi: 10.1021/acs.jcim.1c00144. Epub 2021 May 26. PMID: 34038112.

• Exploring biological impacts of prenatal nutrition and selection for residual feed intake on beef cattle using omics technologies: A review.

  Foroutan A, Wishart DS, Fitzsimmons C. Front Genet. 2021 Nov 1;12:720268. doi: 10.3389/fgene.2021.720268. PMID: 34790219; PMCID: PMC8592258.

• HMDB 5.0: the human metabolome database for 2022.

  Wishart DS, Guo A, Oler E, Wang F, Anjum A, Peters H, Dizon R, Sayeeda Z, Tian S, Lee BL, Berjanskii M, Mah R, Yamamoto M, Jovel J, Torres-Calzada C, Hiebert-Giesbrecht M, Lui VW, Varshavi D, Varshavi D, Allen D, Arndt D, Khetarpal N, Sivakumaran A, Harford K, Sanford S, Yee K, Cao X, Budinski Z, Liigand J, Zhang L, Zheng J, Mandal R, Karu N, Dambrova M, Schiöth HB, Greiner R, Gautam V. Nucleic Acids Res. 2022 Jan 7;50(D1):D622-D631. doi: 10.1093/nar/gkab1062. PMID: 34986597; PMCID: PMC8728138.

• Metabolomics in exercise and sports: A systematic review.

  Khoramipour K, Sandbakk Ø, Keshteli AH, Gaeini AA, Wishart DS, Chamari K. Sports Med. 2021 Oct 30. doi: 10.1007/s40279-021-01582-y. Epub ahead of print. PMID: 34716906.

• Neural crest-specific loss of Bmp7 leads to midfacial hypoplasia, nasal airway obstruction and disordered breathing, modeling obstructive sleep apnea.

  Baddam P, Biancardi V, Roth DM, Eaton F, Thereza-Bussolaro C, Mandal R, Wishart DS, Barr A, MacLean J, Flores-Mir C, Pagliardini S, Graf D. Dis Model Mech. 2021 Jan 11;14(2):dmm047738. doi: 10.1242/dmm.047738. Epub ahead of print. PMID: 33431521; PMCID: PMC7888714.

• NP-MRD: the Natural Products Magnetic Resonance Database

  Wishart DS, Sayeeda Z, Budinski Z, Guo A, Lee BL, Berjanskii M, Rout M, Peters H, Dizon R, Mah R, Torres-Calzada C, Hiebert-Giesbrecht M, Varshavi D, Varshavi D, Oler E, Allen D, Cao X, Gautam V, Maras A, Poynton EF, Tavangar P, Yang V, van Santen JA, Ghosh R, Sarma S, Knutson E, Sullivan V, Jystad AM, Renslow R, Sumner LW, Linington RG, Cort JR. Nucleic Acids Res. 2022 Jan 7;50(D1):D665-D677. doi: 10.1093/nar/gkab1052. PMID: 34791429; PMCID: PMC8728158.

2025

• Extended recommendations on the nomenclature for microbial catabolites of dietary (poly)phenols, with a focus on isomers.

  Curti, C., Clifford, M. N., Kay, C. D., Mena, P., Rodriguez-Mateos, A., Del Rio, D., McDougall, G. J., Williamson, G., Andres-Lacueva, C., Bresciani, L., Burton Freeman, B., Cassidy, A., Desjardin, Y., Fraga, C. G., Gill, C. C. I., Kroon, P. A., Kuhnert, N., Ludwig, I. A., Manach, C., Milenkovic, D., … Crozier, A. (2025). Extended recommendations on the nomenclature for microbial catabolites of dietary (poly)phenols, with a focus on isomers. Food & function, 16(10), 3963–4000.

• Clinical Validation of Plasma Metabolite Markers for Early Lung Cancer Detection.

  Zhang, L., Zheng, J., Bux, R. A., Haince, J. F., Torres-Calzada, C., Mandal, R., Maksymiuk, A., Huang, G., Tappia, P. S., Joubert, P., Rolfo, C. D., & Wishart, D. S. (2025). Clinical Validation of Plasma Metabolite Markers for Early Lung Cancer Detection. International journal of molecular sciences, 26(10), 4519.

• Binding Capacity and Adsorption Stability of Uremic Metabolites to Albumin-Modified Magnetic Nanoparticles.

  Sharma, I., Milley, A., Zhang, L., Zheng, J., Lockwood, E., Wishart, D. S., Tonelli, M., & Unsworth, L. D. (2025). Binding Capacity and Adsorption Stability of Uremic Metabolites to Albumin-Modified Magnetic Nanoparticles. International journal of molecular sciences, 26(11), 5366.

• Advancing precision nutrition: bridging mechanistic insight and clinical implementation.

  da Silva, B. R., Brennan, L., Horst, M. A., Wishart, D. S., & Prado, C. M. (2025). Advancing precision nutrition: bridging mechanistic insight and clinical implementation. Nature reviews. Endocrinology, 21(9), 515–517.

• Towards Automated Testing of Kynurenine for Point-of-Care Metabolomics.

  Bhattacharyya, D., LeVatte, M. A., & Wishart, D. S. (2025). Towards Automated Testing of Kynurenine for Point-of-Care Metabolomics. Methods and protocols, 8(3), 56.

• Comprehensive clinical and metabolomics profiling of COVID-19 Mexican patients across three epidemiological waves.

  García-López, D. A., Monárrez-Espino, J., Borrego-Moreno, J. C., Zheng, J., Mandal, R., Torres-Calzada, C., Oropeza-Valdez, J. J., Tenório Nunes, A., Sánchez Rodríguez, S. H., López, J. A., Calzada Rodríguez, B. E., Wishart, D. S., & López-Hernández, Y. (2025). Comprehensive clinical and metabolomics profiling of COVID-19 Mexican patients across three epidemiological waves. Frontiers in molecular biosciences, 12, 1607583.

• Temporal Changes in Blood Metabolome Among Patients on Hemodialysis.

  Niestanak, V. D., Wiebe, N., Zhang, L., Wishart, D. S., Tonelli, M., & Unsworth, L. D. (2025). Temporal Changes in Blood Metabolome Among Patients on Hemodialysis. Kidney international reports, 10(6), 1761–1770.

• Temporal metabolomic fingerprinting identifies adenine as a novel biomarker for early detection of Escherichia coli infection in broiler chickens.

  Ranaraja, A., Subhasinghe, I., Ahmad, S. N., Banaganapalli, B., Popowich, S., Parambath, S. V., Ayalew, L. E., Mandal, R., Wishart, D. S., Tikoo, S., & Gomis, S. (2025). Temporal metabolomic fingerprinting identifies adenine as a novel biomarker for early detection of Escherichia coli infection in broiler chickens. Scientific reports, 15(1), 31580.

• Automatic Identification of Potential Cellular Metabolites for Untargeted NMR Metabolomics.

  Chen, J., Rao, A., Ghosh Biswas, R., Zhang, E. J., Zhou, J. X., Zhang, E., Kobus, Z., Kobus, M., Su, L., Christiani, D. C., Wishart, D. S., & Cheng, L. L. (2025). Automatic Identification of Potential Cellular Metabolites for Untargeted NMR Metabolomics. NMR in biomedicine, 38(10), e70131.

• Metabolome informs about the chemical exposome and links to brain health.

  Orešič, M., Karu, N., Zhao, H. N., Moseley, A., Hankemeier, T., Wishart, D. S., Dorrestein, P. C., Fiehn, O., Hyötyläinen, T., Daouk, R. K., & Alzheimer Gut Microbiome Project (2025). Metabolome informs about the chemical exposome and links to brain health. Environment international, 203, 109741.

• Comprehensive, quantitative analysis of SRM 1950: the NIST human plasma reference material.

  Mandal, R., Zheng, J., Zhang, L., Oler, E., LeVatte, M. A., Berjanskii, M., Lipfert, M., Han, J., Borchers, C. H., and Wishart, D. S. (2025). Comprehensive, quantitative analysis of SRM 1950: the NIST human plasma reference material. Anal. Chem. 97: 667–675.

• Metabolomic in severe traumatic brain injury: exploring primary, secondary injuries, diagnosis, and severity.

  Banoei, M. M., Hutchison, J., Panenka, W., Wong, A., Wishart, D. S., Winston, B. W., Canadian Biobank and Database for Traumatic Brain Injury (CanTBI) study investigators, Canadian Critical Care Translational Biology Group (CCCTBG), and Canadian Traumatic Brain Injury Research Consortium (CTRC). (2025). Metabolomic in severe traumatic brain injury: exploring primary, secondary injuries, diagnosis, and severity. Crit. Care 29(1): 26.

• Mechanisms of homoarginine: looking beyond clinical outcomes.

  Zubkowski, A., Sferruzzi-Perri, A. N., and Wishart, D. S. (2025). Mechanisms of homoarginine: looking beyond clinical outcomes. Acta Physiol. (Oxf) 241(2): e14273.

• Introducing “Identification Probability” for automated and transferable assessment of metabolite identification confidence in metabolomics and related studies.

  Metz, T. O., Chang, C. H., Gautam, V., Anjum, A., Tian, S., Wang, F., Colby, S. M., Nunez, J. R., Blumer, M. R., Edison, A. S., Fiehn, O., Jones, D. P., Li, S., Morgan, E. T., Patti, G. J., Ross, D. H., Shapiro, M. R., Williams, A. J., and Wishart, D. S. (2025). Introducing “Identification Probability” for automated and transferable assessment of metabolite identification confidence in metabolomics and related studies. Anal. Chem. 97(1): 1–11.

• Discovery of metabolites prevails amid in-source fragmentation.

  El Abiead, Y., Rutz, A., Zuffa, S., Amer, B., Xing, S., Brungs, C., Schmid, R., Correia, M. S. P., Caraballo-Rodriguez, A. M., Zarrinpar, A., Mannochio-Russo, H., Witting, M., Mohanty, I., Pluskal, T., Bittremieux, W., Knight, R., Patterson, A. D., van der Hooft, J. J. J., Böcker, S., Dunn, W. B., … Dorrestein, P. C. (2025). Discovery of metabolites prevails amid in-source fragmentation. Nature metabolism, 7(3), 435–437.

2024

• A systematic review and comprehensive evaluation of human intervention studies to unravel the bioavailability of hydroxycinnamic acids.

  Di Pede, G., Mena, P., Bresciani, L., Achour, M., Lamuela, R.M., Estruch, R., Landberg, R., Kulling, S.E., Wishart, D., Rodriguez-Mateos, A. and Clifford, M.N. (2024). A systematic review and comprehensive evaluation of human intervention studies to unravel the bioavailability of hydroxycinnamic acids. Antioxid. Redox Signal. 40(7–9): 510–541.

• Adsorption dynamics of uremic toxins to novel modified magnetic nanoparticles.

  Li, S., Sharaf, M.G., Zhang, L., Wishart, D.S., Tonelli, M. and Unsworth, L.D. (2024). Adsorption dynamics of uremic toxins to novel modified magnetic nanoparticles. Macromol. Biosci. 24(2): 2300133.

• The urinary metabolome of newborns with perinatal complications.

  López-Hernández, Y., Lima-Rogel, V., Mandal, R., Zheng, J., Zhang, L., Oler, E., García-López, D.A., Torres-Calzada, C., Mejía-Elizondo, A.R., Poelzer, J., López, J.A., Zubkowski, A. and Wishart, D. S. (2024). The urinary metabolome of newborns with perinatal complications. Metabolites 14(1): 41.

• From dysbiosis to neuropathologies: toxic effects of glyphosate in zebrafish.

  Bellot Pulido, M., Carrillo, M.P., Bedrossiantz, J., Zheng, J., Mandal, R., Wishart, D.S., Gómez-Canela, C., Vila-Costa, M., Prats, E., Pina, B. and Raldúa, D. (2024). From dysbiosis to neuropathologies: toxic effects of glyphosate in zebrafish. Ecotoxicol. Environ. Saf. 270: 115888.

• Blood-based multiomics-guided detection of a precancerous pancreatic tumor.

  Anwar, M. A., Keshteli, A. H., Yang, H., Wang, W., Li, X., Messier, H. M., Cullis, P. R., Borchers, C. H., Fraser, R., and Wishart, D. S. (2024). Blood-based multiomics-guided detection of a precancerous pancreatic tumor. OMICS 28(4):182–192.

• Protocol to identify biomarkers in patients with post-COVID condition using multi-omics and machine learning analysis of human plasma.

  Khoramjoo, M., Srinivasan, K., Wang, K., Wishart, D., Prasad, V., and Oudit, G. Y. (2024). Protocol to identify biomarkers in patients with post-COVID condition using multi-omics and machine learning analysis of human plasma. STAR Protoc. 5(2): 103041.

• Multiomics: Functional molecular biomarkers of micronutrients for public health application.

  Allen, L.H., Fenech, M., LeVatte, M.A., West Jr, K.P. and Wishart, D.S. (2024) Multiomics: Functional molecular biomarkers of micronutrients for public health application. Annu. Rev. Nutr. 44(1): 125-153.

• Metabolomic profiling of pulmonary neuroendocrine neoplasms.

  Boullier, C., Lamaze, F.C., Haince, J.F., Bux, R.A., Orain, M., Zheng, J., Zhang, L., Wishart, D.S., Bossé, Y., Manem, V.S. and Joubert, P. (2024) Metabolomic profiling of pulmonary neuroendocrine neoplasms. Cancers, 16(18): 3179.

• A comparison of dry bean and pea consumption on serum cholesterol: A randomized controlled trial in adults with mild hypercholesterolemia.

  Bell, R.C., Zahradka, P., Aliani, M., Liang, Y., Jarman, M., MacKenzie, M., Chan, C., Ozga, J., Proctor, S., Wishart, D. and Taylor, C.G. (2024) A comparison of dry bean and pea consumption on serum cholesterol: A randomized controlled trial in adults with mild hypercholesterolemia. J. Nutri. 154(11): 3375-3387.

2023

• Urinary angiotensin-converting enzyme 2 and metabolomics in COVID-19-mediated kidney injury.

  Vergara, A., Wang, K., Colombo, D., Gheblawi, M., Rasmuson, J., Mandal, R., Del Nonno, F., Chiu, B., Scholey, J.W., Soler, M.J., Wishart, D.S. (2023) Urinary angiotensin-converting enzyme 2 and metabolomics in COVID-19-mediated kidney injury. Clinical Kidney Journal, 16(2): 272-284,

• Revisiting the bioavailability of flavan-3-ols in humans: A systematic review and comprehensive data analysis.

  Di Pede, G., Mena, P., Bresciani, L., Achour, M., Lamuela-Raventós, R.M., Estruch, R., Landberg, R., Kulling, S.E., Wishart, D., Rodriguez-Mateos, A., Crozier, A. (2023) Revisiting the bioavailability of flavan-3-ols in humans: A systematic review and comprehensive data analysis. Mol. Aspects Med. 89:101146.

• A164 Identifying the most important predictors to correlate serum metabolites with MRE changes in patients with pediatrics Crohn disease.

  Suarez, R.G., Guruprasad, N., Tata, G., Zhang, Z., Focht, G., Navas-López, V., Koletzko, S., Griffiths, A.M., Wishart, D. and Wine, E. (2023). A164 Identifying the most important predictors to correlate serum metabolites with MRE changes in patients with pediatrics Crohn disease. J. Can. Assoc. Gastroenterol. 6(Suppl. 1):10.

• The plasma metabolome of long COVID patients two years after infection.

  López-Hernández, Y., Monárrez-Espino, J., López, D.A.G., Zheng, J., Borrego, J.C., Torres-Calzada, C., Elizalde-Díaz, J.P., Mandal, R., Berjanskii, M., Martínez-Martínez, E., López, J.A. and Wishart, D.S. (2023). The plasma metabolome of long COVID patients two years after infection. Sci. Rep. 13(1):12420.

• Using quantitative metabolomics and data enrichment to interpret the biochemistry of a novel disease.

  Wishart, D. S., and LeVatte, M. A. (2023). “Using quantitative metabolomics and data enrichment to interpret the biochemistry of a novel disease” in A Practical Guide to Metabolomics Applications in Health and Disease: From Samples to Insights into Metabolism (Eds Ivanisevic, J. & Giera, M.), Springer, pp. 185–209.

• Metabolomic profiles in serum predict global functional neurological outcome at 3 and 12 months and death at 3 months following severe traumatic brain injury.

  Banoei, M.M., Lee, C.H., Hutchison, J., Panenka, W., Wellington, C., Wishart, D.S., Winston, B.W. (2023) Metabolomic profiles in serum predict global functional neurological outcome at 3 and 12 months and death at 3 months following severe traumatic brain injury. Research Square; 2023. http://doi.org.10.21203/rs.3.rs-2613141/v1.

• An in silico infrared spectral library of molecular ions for metabolite identification.

  Houthuijs, K.J., Berden, G., Engelke, U.F., Gautam, V., Wishart, D.S., Wevers, R.A., Martens, J., Oomens, J. (2023) An in silico infrared spectral library of molecular ions for metabolite identification. Anal. Chem. 95(23):8998-9005.

• Noninvasive testing for mycophenolate exposure in children with renal transplant using urinary metabolomics.

  Taha, K., Sharma, A., Kroeker, K., Ross, C., Carleton, B., Wishart, D., Medeiros, M., Blydt-Hansen, T.D. (2023) Noninvasive testing for mycophenolate exposure in children with renal transplant using urinary metabolomics. Pediatr. Transplant. 27(3): e14460.

• Using metabolomics to predict severe traumatic brain injury outcome (GOSE) at 3 and 12 months.

  Banoei, M.M., Lee, C.H., Hutchison, J., Panenka, W., Wellington, C., Wishart, D.S. and Winston, B.W. (2023). Using metabolomics to predict severe traumatic brain injury outcome (GOSE) at 3 and 12 months. Crit. Care 27(1):295.

• Synthesis and characterization of metabolite-nanoparticle conjugates for use in metabolite biosensor systems.

  Khaniani, Y., Zubkowski, A., LeBlanc, P., Aggarwal, V., Chen, I., Chan, A., Janfaza, S., MacKay, S., Kovur, P., LeVatte, M. and Wishart, D.S. (2023). Synthesis and characterization of metabolite-nanoparticle conjugates for use in metabolite biosensor systems. Sens. Bio-Sens. Res. 41:100578.

2022

• Metabolomics in exercise and sports: A systematic review.

  Khoramipour, K., Sandbakk, Ø., Keshteli, A.H., Gaeini, A.A., Wishart, D.S. and Chamari, K. (2022) Metabolomics in exercise and sports: A systematic review. Sports Med. 52(3):547-583.

• Urinary metabolomics to develop predictors for pediatric acute kidney injury.

  Franiek, A., Sharma, A., Cockovski, V., Wishart, D.S., Zappitelli, M. and Blydt-Hansen, T.D. (2022). Urinary metabolomics to develop predictors for pediatric acute kidney injury. Pediatr. Nephrol. 37(9):2070-2090.

• Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition.

  Wen, B., Njunge, J.M., Bourdon, C., Gonzales, G.B., Gichuki, B.M., Lee, D., Wishart, D.S., Ngari, M., Chimwezi, E., Thitiri, J., Mwalekwa, L., Voskuijl, W., Berkley, J.A. and Bandsma, R.H. (2022) Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition. Sci. Adv. 8(7):eabj6779.

• Metabolomic fingerprint of behavioral changes in response to full-spectrum cannabis extracts.

  Maayah, Z.H., Raposo, P.J.F., Silver, H., Mandal, R., Ellis, L., Alam, A.S., Takahara, S., Ferdaoussi, M., Mathewson, K.E., Eurich, D.T., Fouad, K., Wishart, D.S. and Dyck, J.R.B. (2022) Metabolomic fingerprint of behavioral changes in response to full-spectrum cannabis extracts. Front. Pharmacol. 13:1831052.

• Author Correction: Targeted metabolomics identifies high performing diagnostic and prognostic biomarkers for COVID-19.

  López-Hernández, Y., Monárrez-Espino, J., Oostdam, A.H., Delgado, J.E.C., Zhang, L., Zheng, J., Valdez, J.J.O., Mandal, R., González, F.L.O., Moreno, J.C.B., Trejo-Medinilla, F.M., López, J.A., Moreno, J.A.E. and Wishart, D.S. (2022) Author Correction: Targeted metabolomics identifies high performing diagnostic and prognostic biomarkers for COVID-19. Sci. Rep. 12(1):1673.

• Acylcarnitines: Nomenclature, biomarkers, therapeutic potential, drug targets, and clinical trials.

  Dambrova, M., Makrecka-Kuka, M., Kuka, J., Vilskersts, R., Nordberg, D., Attwood, M. M., Smesny, S., Sen, Z. D., Guo, A. C., Oler, E., Tian, S., Zheng, J., Wishart, D.S., Liepinsh, E. and Schiöth, H. B. (2022) Acylcarnitines: Nomenclature, biomarkers, therapeutic potential, drug targets, and clinical trials. Pharmacol. Rev. 74(3): 506–551.

• Applications of metabolomics to precision nutrition.

  LeVatte, M., Keshteli, A.H., Zarei, P. and Wishart, D.S. (2022) Applications of metabolomics to precision nutrition. Lifestyle Genom.15(1):1-9.

• Anti-inflammatory diet prevents subclinical colonic inflammation and alters metabolomic profile of ulcerative colitis patients in clinical remission.

  Keshteli, A.H., Valcheva, R., Nickurak, C., Park, H., Mandal, R., van Diepen, K., Kroeker, K.I., van Zanten, S.V., Halloran, B., Wishart, D.S., and Madsen, K.L. (2022) Anti-inflammatory diet prevents subclinical colonic inflammation and alters metabolomic profile of ulcerative colitis patients in clinical remission. Nutrients, 14(16): 3294.

• Identification of urinary biomarkers of colorectal cancer: Towards the development of a colorectal screening test in limited resource settings.

  Zhang, L., Zheng, J., Ismond, K.P., MacKay, S., LeVatte, M., Constable, J., Alatise, I., Kingham, P.T., and Wishart, D.S. (2022) Identification of urinary biomarkers of colorectal cancer: Towards the development of a colorectal screening test in limited resource settings. Cancer Biomark. 36:17-30.

• The Childhood Acute Illness and Nutrition (CHAIN) network nested case-cohort study protocol: a multi-omics approach to understanding mortality among children in sub-Saharan Africa and South Asia.

  Njunge, J.M., Tickell, K., Diallo, A.H., Sayeem Bin Shahid, A.S., Gazi, M.A., Saleem, A., Kazi, Z., Ali, S., Tigoi, C., Mupere, E., Lancioni, C.L., and Berkley, J. (2022) The Childhood Acute Illness and Nutrition (CHAIN) network nested case-cohort study protocol: a multi-omics approach to understanding mortality among children in sub-Saharan Africa and South Asia. Gates Open Res. 6:77.

• Childhood body mass index and associations with infant gut metabolites and secretory IgA: findings from a prospective cohort study.

  Bridgman, S.L., Malmuthuge, N., Mandal, R., Field, C.J., Haqq, A.M., Mandhane, P.J., Moraes, T.J., Turvey, S.E., Simons, E., Subbarao, P., Scott, J.A., Wishart, D.S. and Kozyrskyj, A.L. (2022) Childhood body mass index and associations with infant gut metabolites and secretory IgA: findings from a prospective cohort study. Int. J. Obesity, 46(9):1712-1719..

• Mastitis: What it is, current diagnostics, and the potential of metabolomics to identify new predictive biomarkers.

  Haxhiaj, K., Wishart, D. S. and Ametaj, B. N. (2022) Mastitis: What it is, current diagnostics, and the potential of metabolomics to identify new predictive biomarkers. Diary, 3(4):722-746,

• Development of a predictive algorithm to identify pre-school children at risk for behavior changes associated with sleep-related breathing disorders.

  Ezeugwu, V. E., Adamko, D., van Eeden, C., Dubeau, A., Turvey, S. E., Morales, T. J. et al. (2022) Development of a predictive algorithm to identify pre-school children at risk for behavior changes associated with sleep-related breathing disorders. Sleep Med. 100:472-478,

2021

• Serum metabolite biomarkers for predicting residual feed intake (RFI) of young Angus bulls.

  Foroutan, A., Fitzsimmons, C., Mandal, R., Berjanskii, M.V. and Wishart, D.S. (2021) Serum metabolite biomarkers for predicting residual feed intake (RFI) of young Angus bulls. Metabolites, 10(12):491.

• Validity and utility of urinary CXCL10/Cr immune monitoring in pediatric kidney transplant recipients.

  Blydt-Hansen, T.D., Sharma, A., Gibson, I.W., Wiebe, C., Sharma, A.P., Langlois, V., Teoh, C.W., Rush, D., Nickerson, P., Wishart, D. and Ho, J. (2021) Validity and utility of urinary CXCL10/Cr immune monitoring in pediatric kidney transplant recipients. Am. J. Transplant. 21(4):1545-1555.

• A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces.

  Keshteli, A.H., Allen, D., Anjum, A., Patel, Y., Sivakumaran, A., Tian, S., Wang, F., Wang, H., Lewis, M.A., Greiner, R. and Wishart, D.S. (2021) A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces. Data Brief. 38:107381.

• Age and sex determine conversion from immediate-release to extended-release tacrolimus in a multi-center cohort of Canadian pediatric renal transplant recipients.

  Lang, S., Sharma, A., Foster, B., Gibson, I.W., Ho, J., Nickerson, P., Wishart, D. and Blydt-Hansen T. (2021) Age and sex determine conversion from immediate-release to extended-release tacrolimus in a multi-center cohort of Canadian pediatric renal transplant recipients. Pediatr. Transplant. 25(5):e13959.

• Predicting PAMPA permeability using the 3D-RISM-KH theory: are we there yet?

  Roy, D., Dutta, D., Wishart, D.S. and Kovalenko, A. (2021) Predicting PAMPA permeability using the 3D-RISM-KH theory: are we there yet? J. Comput. Aided Mol. Des. 35(2):261-269.

• Neural crest-specific deletion of Bmp7 leads to midfacial hypoplasia, nasal airway obstruction, and disordered breathing modelling Obstructive Sleep Apnea.

  Baddam, P., Biancardi, V., Roth, D.M., Eaton, F., Thereza-Bussolaro, C., Mandal, R., Wishart, D.S., Barr, A., MacLean, J., Flores-Mir, C., Pagliardini, S. and Graf, D. (2021) Neural crest-specific deletion of Bmp7 leads to midfacial hypoplasia, nasal airway obstruction, and disordered breathing modelling Obstructive Sleep Apnea. Dis. Model Mech. 14(2):dmm047738.

• From birth to overweight and atopic disease: multiple and common pathways of the infant gut microbiome.

  Vu, K., Lou, W., Tun, H.M., Konya, T.B., Morales-Lizcano, N., Chari, R.S., Field, C.J., Guttman, D.S., Mandal, R., Wishart, D.S., Azad, M.B., Becker, A.B., Mandhane, P.J., Moraes, T.J., Lefebvre, D.L., Sears, M.R., Turvey, S.E., Subbarao, P., Scott, J.A. and Kozyrskyj, A.L. (2021) From birth to overweight and atopic disease: multiple and common pathways of the infant gut microbiome. Gastroenterology. 160(1):128-144.e10.

• Impact of prenatal maternal nutrition and parental residual feed intake (RFI) on mRNA abundance of metabolic drivers of growth and development in young Angus bulls.

  Foroutan, A, Devos, J., Wishart, D.S., Li, C. Colazo, M., Kastelic, J., Thundathil, J. and Fitzsimmons, C. (2021) Impact of prenatal maternal nutrition and parental residual feed intake (RFI) on mRNA abundance of metabolic drivers of growth and development in young Angus bulls. Livestock sci. 243:104365.

• Cloning and high-level expression of monomeric human superoxide dismutase 1 (SOD1) and its interaction with pyrimidine analogs.

  LeVatte, M., Lipfert, M., Roy, D., Kovalenko, A. and Wishart, D.S. (2021) Cloning and high-level expression of monomeric human superoxide dismutase 1 (SOD1) and its interaction with pyrimidine analogs. PLoS One. 16(2):e0247684.

• Early surveillance biopsy utilization and management of pediatric renal allograft acute T cell-mediated rejection in Canadian centers: Observations from the PROBE multicenter cohort study.

  Hoffmann, A.J., Gibson, I.W., Ho, J., Nickerson, P., Rush, D., Sharma, A., Wishart, D. and Blydt-Hansen, T.D. (2021) Early surveillance biopsy utilization and management of pediatric renal allograft acute T cell-mediated rejection in Canadian centers: Observations from the PROBE multicenter cohort study. Pediatr. Transplant. 25(2):e13870.

• A deep generative model enables automated structure elucidation of novel psychoactive substances.

  Skinnider, M., Wang, F., Pasin, D., Greiner, R., Foster, L., Dalsgaard, P. and Wishart, D.S. (2021) A deep generative model enables automated structure elucidation of novel psychoactive substances. Nat. Mach. Intell. 3(11):973–984.

• A Canadian study of cisplatin metabolomics and nephrotoxicity (ACCENT): A clinical research protocol.

  Jain, A., Huang, R., Lee, J., Jawa, N., Lim, Y.J., Guron, M., Abish, S., Boutros, P.C., Brudno, M., Carleton, B., Cuvelier, G.D.E., Gunaratnam, L., Ho, C., Adeli, K., Kuruvilla, S., Lajoie, G., Liu, G., Nathan, P.C., Rod Rassekh, S., Rieder, M., Waikar, S.S., Welch, S.A., Weir, M.A., Winquist, E., Wishart, D.S., Zorzi, A.P., Blydt-Hansen, T., Zappitelli, M. and Urquhart, B. (2021) A Canadian study of cisplatin metabolomics and nephrotoxicity (ACCENT): A clinical research protocol. Can. J. Kidney Health Dis. 8:20543581211057708.

• Immunometabolic signatures predict risk of progression to sepsis in COVID-19.

  Herrera-Van Oostdam, A.S., Castañeda-Delgado, J.E., Oropeza-Valdez, J.J., Borrego, J.C., Monárrez-Espino, J., Zheng, J., Mandal, R., Zhang, L., Soto-Guzmán, E., Fernández-Ruiz, J.C., Ochoa-González, F., Trejo Medinilla, F.M., López, J.A., Wishart, D.S., Enciso-Moreno, J.A. and López-Hernández, Y. (2021) Immunometabolic signatures predict risk of progression to sepsis in COVID-19. PLoS One. 16(8):e0256784.

2020

• Metabolic Network Analysis Reveals Altered Bile Acid Synthesis and Metabolism in Alzheimer's Disease.

  Baloni, P., Funk, C.C., Yan, J., Yurkovich, J.T., Kueider-Paisley, A., Nho, K., Heinken, A., Jia, W., Mahmoudiandehkordi, S., Louie, G., Saykin, A.J., Arnold, M., Kastenmüller, G., Griffiths, W.J., Thiele, I.; Alzheimer’s Disease Metabolomics Consortium, Kaddurah-Daouk, R. and Price, N.D. (2020) Metabolic Network Analysis Reveals Altered Bile Acid Synthesis and Metabolism in Alzheimer's Disease. Cell Rep. Med. 1(8):100138.

• Insights into origins and function of the unexplored majority of the reductive dehalogenase gene family as a result of genome assembly and ortholog group classification.

  Molenda, O., Jácome, L.A.P., Cao, X., Nesbø, C.L., Tang, S., Morson, N., Patron, J., Lomheim, L., Wishart, D.S. and Edwards E.A. (2020) Insights into origins and function of the unexplored majority of the reductive dehalogenase gene family as a result of genome assembly and ortholog group classification. Environ. Sci. Process Impacts. 22: 663-678.

• Metformin and DPP-4 Inhibitor Differentially Modulate the Intestinal Microbiota and Plasma Metabolome of Metabolically Dysfunctional Mice.

  Ryan, P.M., Patterson, E., Carafa, I., Mandal, R., Wishart, D.S., Dinan, T.G., Cryan, J.F., Tuohy, K.M., Stanton, C. and Ross, R.P. (2020) Metformin and DPP-4 Inhibitor Differentially Modulate the Intestinal Microbiota and Plasma Metabolome of Metabolically Dysfunctional Mice. Can. J. Diabetes. 44(2):146-155.

• Mass-spec-based urinary metabotyping around parturition identifies screening biomarkers for subclinical mastitis in dairy cows.

  Zwierzchowski, G., Zhang, G., Mandal, R., Wishart, D.S. and Ametaj, B.N. (2020) Mass-spec-based urinary metabotyping around parturition identifies screening biomarkers for subclinical mastitis in dairy cows. Res. Vet. Science. 129: 39-52.

• Serum metabolic fingerprinting of pre-lameness dairy cows by GC–MS reveals typical profiles that can identify susceptible cows.

  Dervishi, E., Zhang, G., Zwierzchowski, G., Mandal, R., Wishart, D.S. and Ametaj, B.N. (2020) Serum metabolic fingerprinting of pre-lameness dairy cows by GC–MS reveals typical profiles that can identify susceptible cows. J. Proteomics. 213:103620.

• Value-based healthcare delivery through metabolomics-based personalized health platform.

  Anwar, M.A., Barrera-Machuca, A. A., Calderon, N., Wang, W., Tausan, D., Vayali, T., Wishart, D.S., Cullis, P. and Fraser, R. (2020) Value-based healthcare delivery through metabolomics-based personalized health platform. Healthc. Manage Forum. 33(3):126-134.

• Perspective: dietary biomarkers of intake and exposure—exploration with omics approaches.

  Maruvada, P., Lampe, J.W., Wishart, D.S., Barupal, D., Chester, D.N., Dodd, D., Feunang, Y.D., Dorrestein, P.C., Dragsted, L.O., Draper, J., Duffy, L.C., Dwyer, J.T., Emenaker, N.J., Fiehn, O., Gerszten, R.E., Hu, F.B., Karp, R.W., Klurfeld, D.M., Laughlin, M.R., Little, A.R., Lynch, C.J., Moore, S.C., Nicastro, H.L., O'Brien, D.M., Ordovás, J.M., Osganian, S.K., Playdon, M., Prentice, R., Raftery, D., Reisdorph, N., Roche, H.M., Ross, S.A., Sang, S., Scalbert, A., Srinivas, P.R. and Zeisel, S.H. (2020) Perspective: dietary biomarkers of intake and exposure—exploration with omics approaches. Adv. Nutr. 11(2): 200-215.

• Metformin and Dipeptidyl Peptidase-4 Inhibitor Differentially Modulate the Intestinal Microbiota and Plasma Metabolome of Metabolically Dysfunctional Mice.

  Ryan, P.M., Patterson, E., Carafa, I., Mandal, P., Wishart, D.S., Dinan, T.G., Cryan, J.F., Tuohy, K.M., Stanton, C. and Ross, R.P. (2020) Metformin and Dipeptidyl Peptidase-4 Inhibitor Differentially Modulate the Intestinal Microbiota and Plasma Metabolome of Metabolically Dysfunctional Mice. Can. J. Diabetes. 44(2):146-155. e2.

• A high-performing plasma metabolite panel for early-stage lung cancer detection.

  Zhang, L., Zheng, J., Ahmed, R., Huang, G., Reid, J., Mandal, R., Maksymuik, A., Sitar, D.S., Tappia, P.S., Ramjiawan, B., Joubert, P., Russo, A., Rolfo, C.D. and Wishart, D.S. (2020) A high-performing plasma metabolite panel for early-stage lung cancer detection. Cancers. 12(3): 622.

• Urinary metabolomics around parturition identifies metabolite alterations in dairy cows affected postpartum by lameness: Preliminary study.

  Zhang, G., Dervishi, E., Zwierzchowski, G., Mandal, R., Wishart, D.S. and Ametaj, B.N. (2020) Urinary metabolomics around parturition identifies metabolite alterations in dairy cows affected postpartum by lameness: Preliminary study. Dairy, 1(1):6-19.

• Metabolomic data exploration and analysis with the Human Metabolome Database.

  Wishart, D.S. (2020) Metabolomic data exploration and analysis with the Human Metabolome Database. Methods Mol. Biol. 2104:165-184.

• Milk metabotyping identifies metabolite alterations in the whole raw milk of dairy cows with lameness.

  Zwierzchowski, G., Zhang, G., Mandal, R., Wishart, D.S. and Ametaj, B.N. (2020) Milk metabotyping identifies metabolite alterations in the whole raw milk of dairy cows with lameness. J. Agric. Food Chem. 68(15):4507-4514.

• Targeted metabolomics highlights perturbed metabolism in the brain of autism spectrum disorder sufferers.

  Graham, S.F., Turkoglu, O., Yilmaz, A., Ustun, I., Ugur, Z., Bjorndhal, T., Han, B., Mandal, R., Wishart, D. and Bahado-Singh, R.O. (2020) Targeted metabolomics highlights perturbed metabolism in the brain of autism spectrum disorder sufferers. Metabolomics. 16(5):59.

• The urinary metabolome of healthy newborns.

  López-Hernández, Y., Oropeza-Valdez, J.J., Blanco-Sandate, J.O., Herrera-Van Oostdam, A.S., Zheng, J., Chi Guo, A., Lima-Rogel, V., Rajabzadeh, R., Salgado-Bustamante, M., Adrian-Lopez, J., Castillo, C.G., Robles Arguelles, E., Monárrez-Espino, J., Mandal, R. and Wishart, D.S. (2020) The urinary metabolome of healthy newborns. Metabolites, 10(4):165

• Effect of diet on the vitamin B profile of bovine milk-based protein ingredients.

  Magan, J.B., O'Callaghan, T.F., Zheng, J., Zhang, L., Mandal, R., Hennessy, D., Fenelon, M.A., Wishart, D.S., Kelly, A.L. and McCarthy, N.A. (2020) Effect of diet on the vitamin B profile of bovine milk-based protein ingredients. Foods, 9(5):578.

• Molecular interactions between monoclonal oligomer-specific antibody 5E3 and its amyloid beta cognates.

  Khorvash, M., Blinov, N., Ladner-Keay, C., Lu, J., Silverman, J.M., Gibbs, E., Wang, Y.T., Kovalenko, A., Wishart, D. and Cashman, N.R. (2020) Molecular interactions between monoclonal oligomer-specific antibody 5E3 and its amyloid beta cognates. PLoS One. 15(5):e0232266

• Urinary metabolomics fingerprinting around parturition identifies metabolites that differentiate lame dairy cows from healthy ones.

  Eckel, E.F., Zhang, G., Dervishi, E., Zwierzchowski, G., Mandal, R., Wishart, D.S. and Ametaj, B.N. (2020) Urinary metabolomics fingerprinting around parturition identifies metabolites that differentiate lame dairy cows from healthy ones. Animal. 14(10):2138-2149.

• FOBI: an ontology to represent food intake data and associate it with metabolomic data.

  Castellano-Escuder, P., González-Domínguez, R., Wishart, D.S., Andrés-Lacueva, C. and Sánchez-Pla, A. (2020) FOBI: an ontology to represent food intake data and associate it with metabolomic data. Database (Oxford) 2020:baaa033.

• Comprehensive targeted metabolomic assay for urine analysis.

  Zheng, J., Zhang, L., Johnson, M., Mandal, R. and Wishart, D.S. (2020) Comprehensive targeted metabolomic assay for urine analysis. Anal. Chem. 92(15):10627-10634.

• Excretory/secretory metabolome of the zoonotic roundworm parasite Toxocara canis.

  Wangchuk, P., Lavers, O., Wishart, D.S. and Loukas, A. (2020) Excretory/secretory metabolome of the zoonotic roundworm parasite Toxocara canis. Biomolecules, 10(8):1157.

• Candidate serum metabolite biomarkers of residual feed intake and carcass merit in sheep.

  Goldansaz, S.A., Markus, S., Berjanskii, M., Rout, M., Guo, A.C., Wang, Z., Plastow, G. and Wishart, D.S. (2020) Candidate serum metabolite biomarkers of residual feed intake and carcass merit in sheep. J. Anim. Sci. 98(10):skaa298.

• Recommendations for standardizing nomenclature for dietary (poly)phenol catabolites.

  Kay, C.D., Clifford, M.N., Mena, P., McDougall, G.J., Andres-Lacueva, C., Cassidy, A., Del Rio, D., Kuhnert, N., Manach, C., Pereira-Caro, G., Rodriguez-Mateos, A., Scalbert, A., Tomás-Barberán, F., Williamson, G., Wishart, D.S. and Crozier, A. (2020) Recommendations for standardizing nomenclature for dietary (poly)phenol catabolites. Am. J. Clin. Nutr. 112(4):1051-1068.

• Gut Microenvironment and Bacterial Invasion in Pediatric Inflammatory Bowel Diseases.

  Zaidi, D., Huynh, H.Q., Carroll, M.W., Mandal, R., Wishart, D.S. and Wine, E. (2020) Gut Microenvironment and Bacterial Invasion in Pediatric Inflammatory Bowel Diseases. J. Pediatr. Gastroenterol. Nutr. 71(5):624-632.

• Metabolomics profiling of critically ill Coronavirus Disease 2019 patients: Identification of diagnostic and prognostic biomarkers.

  Fraser, D.D., Slessarev, M., Martin, C.M., Daley, M., Patel, M.A., Miller, M.R., Patterson, E.K., O'Gorman, D.B., Gill, S.E., Wishart, D.S., Mandal, R. and Cepinskas, G. (2020) Metabolomics profiling of critically ill Coronavirus Disease 2019 patients: Identification of diagnostic and prognostic biomarkers. Crit. Care Explor. 2(10):e0272.

• Workshop report: Toward the development of a human whole stool reference material for metabolomic and metagenomic gut microbiome measurements.

  Mandal, R., Cano, R., Davis, C.D., Hayashi, D., Jackson, S.A., Jones, C.M., Lampe, J.W., Latulippe, M.E., Lin, N.J., Lippa, K.A., Piotrowski, P., Da Silva, S.M., Swanson, K.S. and Wishart D.S. (2020) Workshop report: Toward the development of a human whole stool reference material for metabolomic and metagenomic gut microbiome measurements. Metabolomics, 16(11):119.

2019

• Clostridioides difficile colonization is differentially associated with gut microbiome profiles by infant feeding modality at 3-4 months of age.

  Drall, K.M., Tun, H.M., Morales-Lizcano, N.P., Konya, T.B., Guttman, D.S., Field, C.J., Mandal, R., Wishart, D.S., Becker, A.B., Azad, M.B., Lefebvre, D.L., Mandhane, P.J., Moraes, T.J., Sears, M.R., Turvey, S.E., Subbarao, P., Scott, J.A. and Kozyrskyj, A.L. (2019) Clostridioides difficile colonization is differentially associated with gut microbiome profiles by infant feeding modality at 3-4 months of age. Front. Immunol. 10:2866.

2025

• Elevated butyric acid and histamine in feces and serum as an indicator of onset of necrotic enteritis in broiler chickens.

  Gautam, H., Ahmad, S. N., Banaganapalli, B., Popowich, S., Chow-Lockerbie, B., Ayalew, L. E., Mandal, R., Wishart, D. S., Tikoo, S., & Gomis, S. (2025). Elevated butyric acid and histamine in feces and serum as an indicator of onset of necrotic enteritis in broiler chickens. Frontiers in microbiology, 16, 1581309.

• NMR Metabolomics in Livestock: An Update of Current Methods and Applications.

  Torres-Calzada, C., Lee, B., Berjanskii, M., & Wishart, D. S. (2025). NMR Metabolomics in Livestock: An Update of Current Methods and Applications. Methods in molecular biology (Clifton, N.J.), 2925, 383–396.

• Lipopolysaccharide and Recombinant Prion Protein Induce Distinct Neurodegenerative Pathologies in FVB/N Mice.

  Goldansaz, S. A., Hailemariam, D., Dervishi, E., Zwierzchowski, G., Wójcik, R., Wishart, D. S., & Ametaj, B. N. (2025). Lipopolysaccharide and Recombinant Prion Protein Induce Distinct Neurodegenerative Pathologies in FVB/N Mice. International journal of molecular sciences, 26(13), 6245.

• Non-target metabolomic approach of the toxic effects of glyphosate in zebrafish (D. rerio).

  Marín-García, M., Bellot, M., Mandal, R., Wishart, D. S., Tauler, R., Raldúa, D., Barata, C., & Gómez-Canela, C. (2025). Non-target metabolomic approach of the toxic effects of glyphosate in zebrafish (D. rerio). Environmental research, 286(Pt 1), 122788.

2024

• Metabolomic fingerprinting of milk fever cows: Pre- and postpartum metabolite alterations.

  Zwierzchowski, G., Zhang, G., Tobolski, D., Wójcik, R., Wishart, D. S., & Ametaj, B. N. (2024). Metabolomic fingerprinting of milk fever cows: Pre- and postpartum metabolite alterations. J. Vet. Intern. Med. 38(6): 3384–3397.

• Elevated levels of butyric acid in the jejunum of an animal model of broiler chickens: from early onset of Clostridium perfringens infection to clinical disease of necrotic enteritis.

  Gautam, H., Shaik, N. A., Banaganapalli, B., Popowich, S., Subhasinghe, I., Ayalew, L. E., Mandal, R., Wishart, D. S., Tikoo, S., & Gomis, S. (2024). Elevated levels of butyric acid in the jejunum of an animal model of broiler chickens: from early onset of Clostridium perfringens infection to clinical disease of necrotic enteritis. J.Animal Sci. Biotechnol. 15(1): 144.

• Metabolic fingerprinting of blood and urine of dairy cows affected by Bovine Leukemia Virus: a mass spectrometry approach.

  Tobolski, D., Zwierzchowski, G., Wójcik, R., Haxhiaj, K., Wishart, D. S., and Ametaj, B. N. (2024). Metabolic fingerprinting of blood and urine of dairy cows affected by Bovine Leukemia Virus: a mass spectrometry approach. Metabolites 14(11): 624.

• Unraveling ruminant feed efficiency through metabolomics: a systematic review.

  Nunes, A. T., Faleiros, C. A., Poleti, M. D., Novais, F. J., López-Hernández, Y., Mandal, R., Wishart, D. S., and Fukumasu, H. (2024). Unraveling ruminant feed efficiency through metabolomics: a systematic review. Metabolites 14(12): 675.

• Identifying predictive biomarkers of subclinical mastitis in dairy cows through urinary metabotyping.

  Zwierzchowski, G., Haxhiaj, K., Wójcik, R., Wishart, D. S., and Ametaj, B. N. (2024). Identifying predictive biomarkers of subclinical mastitis in dairy cows through urinary metabotyping. Metabolites 14(4): 205.

• Development of a point-of-care colorimetric metabolomic sensor platform.

  Bai, S., Gonzalez-Vasquez, P., Torres-Calzada, C., MacKay, S., Cook, J., Khaniani, Y., Davies, G., Singh, U., Kovur, P., Chen, J., and Wishart, D. S. (2024). Development of a point-of-care colorimetric metabolomic sensor platform. Biosens. Bioelectron. 253: 116186.

• Redox-modified nanostructured electrochemical surfaces for continuous glucose monitoring in complex biological fluids.

  Janfaza, S., Radha Shanmugam, N., Jolly, P., Kovur, P., Singh, U., Mackay, S., Wishart, D., and Ingber, D. E. (2024). Redox-modified nanostructured electrochemical surfaces for continuous glucose monitoring in complex biological fluids. Nanomaterials 14(9): 796.

• Year-long stability of nucleic acid bases in concentrated sulfuric acid: Implications for the persistence of organic chemistry in Venus’ clouds.

  Seager, S., Petkowski, J. J., Seager, M. D., Grimes, J. H., Zinsli, Z., Vollmer-Snarr, H. R., Abd El-Rahman, M. K., Wishart, D. S., Lee, B. L., Gautam, V., Herrington, L., Bains, W., and Darrow, C. (2024). Year-long stability of nucleic acid bases in concentrated sulfuric acid: Implications for the persistence of organic chemistry in Venus’ clouds. Life 14(5): 538.

• Metabolomics approaches for capturing the chemical exposome and its influences on cognitive function and brain health.

  Moseley, M. A., Fiehn, O., Dorrestein, P., Hyotylainen, T., Oresic, M., Wishart, D., Zhao, N., and Kaddurah-Daouk, R. F. (2024). Metabolomics approaches for capturing the chemical exposome and its influences on cognitive function and brain health. Alzheimer’s Dement. 20(S2): e089874.

2022

• Combination of mouse prion protein with detoxified lipopolysaccharide triggers colon genes related to inflammatory, antibacterial, and apoptotic responses.

  Hailemariam, D., Lam, T.H., Dervishi, E., Zwierzchowski, G., Wishart, D.S. and Ametaj, B.N. (2022) Combination of mouse prion protein with detoxified lipopolysaccharide triggers colon genes related to inflammatory, antibacterial, and apoptotic responses. Res. Vet. Sci. 144:98-107.

• Identification of serum-predictive biomarkers for subclinical mastitis in dairy cows and new insights into the pathobiology of the disease.

  Zhang, G., Tobolski, D., Zwierzchowski, G., Mandal, R., Wishart, D.S. and Ametaj, B.N. (2022) Identification of serum-predictive biomarkers for subclinical mastitis in dairy cows and new insights into the pathobiology of the disease. J. Agric. Food Chem. 70(5):1724-1746.

• Emerging technologies and their impact on regulatory science.

  Anklam, E., Bahl, M.I., Ball, R., Beger, R.D., Cohen, J., Fitzpatrick, S., Girard, P., Halamoda-Kenzaoui, B., Hinton, D., Hirose, A., Hoeveler, A., Honma, M., Hugas, M., Ishida, S., Kass, G.E., Kojima, H., Krefting, I., Liachenko, S., Liu, Y., Masters, S., Marx, U., McCarthy, T., Mercer, T., Patri, A., Pelaez, C., Pirmohamed, M., Platz, S., Ribeiro, A.J., Rodricks, JV., Rusyn, I., Salek, R.M., Schoonjans, R., Silva, P., Svendsen, C.N., Sumner, S., Sung, K., Tagle, D., Tong, L., Tong, W., Eijnden-van-Raaij, J.V.D., Vary, N., Wang, T., Waterton, J., Wang, M., Wen, H., Wishart, D.S., Yuan, Y. and Slikker, W. Jr. (2022) Emerging technologies and their impact on regulatory science. Exp. Biol. Med. (Maywood), 247(1):1-75.

• Blood Metabolomic phenotyping of dry cows could predict the high milk somatic cells in early lactation - Preliminary results.

  Haxhiaj, K., Li, Z., Johnson, M., Dunn, S.M., Wishart, D.S. and Ametaj, B.N. (2022) Blood Metabolomic phenotyping of dry cows could predict the high milk somatic cells in early lactation - Preliminary results. Dairy, 3(1):59-77.

• Predictive blood biomarkers of sheep pregnancy and litter size.

  Goldansaz, S.A., Markus, S., Plastow, G. and Wishart, D.S. (2022) Predictive blood biomarkers of sheep pregnancy and litter size. Sci Rep.12(1):10307.

2021

• A multi-platform metabolomics approach identifies urinary metabolite signatures that differentiate ketotic from healthy dairy cows.

  Zhang, G., Mandal, R., Wishart, D.S. and Ametaj, B.N. (2021) A multi-platform metabolomics approach identifies urinary metabolite signatures that differentiate ketotic from healthy dairy cows. Front. Vet. Sci. 8:595983.

• New insights into the obligatory nature of cyclooxygenase-2 and PGE2 during early chick embryogenesis.

  Verma, U., Gautam, M., Parmar, B., Khaire, K., Wishart, D.S. and Balakrishnan, S. (2021) New insights into the obligatory nature of cyclooxygenase-2 and PGE2 during early chick embryogenesis. Biochim. Biophys. Acta. Mol. Cell. Biol. Lipids. 1866(4):158889.

• CpG-ODN induced antimicrobial immunity in neonatal chicks involves a substantial shift in serum metabolic profiles.

  Goonewardene, K.B., Karu, N., Ahmed, K.A., Popowich, S., Chow-Lockerbie, B., Ayalew, L.E., Karunarathna, R., Gunawardana, T., Liu, M., Tikoo, S.K., Foldvari, M., Willson, P., Mandal, R., Wishart, D.S. and Gomis, S. (2021) CpG-ODN induced antimicrobial immunity in neonatal chicks involves a substantial shift in serum metabolic profiles. Sci. Rep. 11(1):9028.

• A cross-platform metabolomics comparison identifies serum metabolite signatures of liver fibrosis progression in chronic Hepatitis C patients.

  Shanmuganathan, M., Sarfaraz, M.O., Kroezen, Z., Philbrick, H., Poon, R., Don-Wauchope, A., Puglia, M., Wishart, D.S. and Britz-McKibbin, P. (2021) A cross-platform metabolomics comparison identifies serum metabolite signatures of liver fibrosis progression in chronic Hepatitis C patients. Front. Mol. Biosci. 8:676349.

• Targeted metabolomics identifies high performing diagnostic and prognostic biomarkers for COVID-19.

  López-Hernández, Y., Monárrez-Espino, J., Oostdam, A.H., Delgado, J.E.C., Zhang, L., Zheng, J., Valdez, J.J.O., Mandal, R., González, F.L.O., Moreno, J.C.B., Trejo-Medinilla, F.M., López, J.A., Moreno, J.A.E. and Wishart, D.S. (2021) Targeted metabolomics identifies high performing diagnostic and prognostic biomarkers for COVID-19. Sci. Rep. 11(1):14732. Erratum Sci. Rep.12(1):1673 (2022).

• Accurate long-range forecasting of COVID-19 mortality in the USA.

  Ramazi, P., Haratian, A., Meghdadi, M., Mari Oriyad, A., Lewis, M.A., Maleki, Z., Vega, R., Wang, H., Wishart, D.S. and Greiner, R. (2021) Accurate long-range forecasting of COVID-19 mortality in the USA. Sci. Rep. 11(1):13822.

• Exploring biological impacts of prenatal nutrition and selection for residual feed intake on beef cattle using omics technologies: A review.

  Foroutan, A, Wishart, D.S. and Fitzsimmons, C. (2021) Exploring biological impacts of prenatal nutrition and selection for residual feed intake on beef cattle using omics technologies: A review. Front. Genet. 12:720268.

• Mice treated subcutaneously with mouse LPS-converted PrPres or LPS alone showed brain gene expression profiles characteristic of prion disease.

  Hailemariam, D., Goldansaz, S.A., Daude, N., Wishart, D.S. and Ametaj, B.N. (2021) Mice treated subcutaneously with mouse LPS-converted PrPres or LPS alone showed brain gene expression profiles characteristic of prion disease. Vet. Sci. 8(9):200.

2020

• The Bovine Metabolome.

  Foroutan, A., Fitzsimmons, C., Mandal, R., Piri-Moghadam, H., Zheng, J., Guo, A., Li, C., Guan, L.L. and Wishart, D.S. (2020) The Bovine Metabolome. Metabolites. 10(6):233.

• Serum metabolomics identifies metabolite panels that differentiate lame dairy cows from healthy ones.

  Zhang, G., Zwierzchowski, G., Mandal, R., Wishart, D.S. and Ametaj, B.N. (2020) Serum metabolomics identifies metabolite panels that differentiate lame dairy cows from healthy ones. Metabolomics. 16(6):73.

2022

• Identification of Serum-Predictive Biomarkers for Subclinical Mastitis in Dairy Cows and New Insights into the Pathobiology of the Disease

  Zhang G, Tobolski D, Zwierzchowski G, Mandal R, Wishart DS, Ametaj BN. J Agric Food Chem. 2022 Feb 9;70(5):1724-1746. doi: 10.1021/acs.jafc.1c07281. Epub 2022 Jan 31. PMID: 35098717.

• Advances in Metabolomics-Driven Diagnostic Breeding and Crop Improvement

  Razzaq A, Wishart DS, Wani SH, Hameed MK, Mubin M, Saleem F. 2022 Jun 2;12(6):511. doi: 10.3390/metabo12060511. PMID: 35736444; PMCID: PMC9228725.

• Blood Metabolomic Phenotyping of Dry Cows Could Predict the High Milk Somatic Cells in Early Lactation—Preliminary Results

  Klevis Haxhaij, Zhilli Li, Matthew Johnson, Suzanna M Dunn, David S Wishart, Burim N Ametaj. Dairy 2022 doi: 10.3390/dairy3010005

• Predictive Blood Biomarkers of Sheep Pregnancy and Litter Size

  Goldansaz SA, Markus S, Plastow G, Wishart DS. Predictive blood biomarkers of sheep pregnancy and litter size. Sci Rep. 2022 Jun 20;12(1):10307. doi: 10.1038/s41598-022-14141-w. PMID: 35725997; PMCID: PMC9209467.

2021

• A Multi-Platform Metabolomics Approach Identifies Urinary Metabolite Signatures that Differentiate Ketotic from Healthy Dairy Cows.

  Zhang G, Mandal R, Wishart DS, Ametaj BN. Front Vet Sci. 2021 Jan 26;8:595983. doi: 10.3389/fvets.2021.595983. PMID: 33575283; PMCID: PMC7871000.

• A targeted serum metabolomics gc–ms approach identifies predictive blood biomarkers for retained placenta in holstein dairy cows.

  Zhang G, Tobolski D, Zwierzchowski G, Mandal R, Wishart DS, Ametaj BN. Metabolites. 2021 Sep 17;11(9):633. doi: 10.3390/metabo11090633. PMID: 34564449; PMCID: PMC8466882.

• A comprehensive targeted metabolomics assay for crop plant sample analysis.

  Zheng J, Johnson M, Mandal R, Wishart DS. Metabolites. 2021 May 11;11(5):303. doi: 10.3390/metabo11050303. PMID: 34064699; PMCID: PMC8151637.

• New insights into the obligatory nature of cyclooxygenase-2 and PGE2 during early chick embryogenesis.

  Verma U, Gautam M, Parmar B, Khaire K, Wishart DS, Balakrishnan S. Biochim Biophys Acta Mol Cell Biol Lipids. 2021 Apr;1866(4):158889. doi: 10.1016/j.bbalip.2021.158889. Epub 2021 Jan 15. PMID: 33454433.