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Publications
  1. Mayonu M, Babaee S, Pollak, J. ,Jiang L., Wang, B. The application of machine learning in NMR peak selection for metabolomics studies. Analytical Biochemistry, submitted  (*Corresponding author)
  2. Babaee S, Mayonu M, Wang, B. Toxin-Induced Metabolic Alterations in Eastern Oysters (Crassostrea virginica) Exposed to Vibrio Cholerae, Sustainable Food Technology, submitted, (*Corresponding author)
  3. Patoine,C., Sheffler, j., Sims, T., Gutierrez, V., Mayonu,M., Wang,B., Park, G., Nagpal, R. Obesity-associated gut microbiome influence diet-induced metabolic and cognitive outcomes in older adults. The Journal of Nutrition, Submitted
  4. Alonge, O; Wang, B; Ochima, OV; and Pearson, K, Mayonu M, Kuila, D.Liver Cell Culture on ITO-SAMs and Metabolite Analysis using NMR: Monomers for Biological Macromolecules  and Lipoprotein (submitted to Colloids and Surfaces A: Physicochemical and Engineering Aspects)
  5. Tran T, Babaee S, Wilson D, Mayonu M, Pollak J, Wang B, Comparative Study of Machine Learning Methods for Modeling Graphene-Based Adsorption in Water Treatment.  Water Environment Research, submitted  (*Corresponding author)
  6. Alonge O, Wang B, Alagbe V, Pearson K, Goodrich S, Kuila D., Liver Cell Culture on ITO-SAMs and Metabolite Analysis using NMR: Lipoprotein and Glucose and Leucine as Monomers for Biological Macromolecules (submitted to Frontiers in Bioengineering)
  7. Shobande M, Kumari A, Pearson M., Baker, J., Hall, N., Waters, R., Emehel C., Hill, D., Fowlkes, M., Dean T., Cannady R., Wang, B.* and Maldonado-Devincci, A., Adolescent intermittent ethanol exposure induces sex-specific and time-dependent changes in affective behaviors and metabolomic profiles, Frontiers in Behavioral Neuroscience. Submitted (*Co-Corresponding author)
  8. Mayonu, M., Babaee, Deneyelle W, Jiang, L. & Wang, B. Evaluation of a new approach for principal component analysis application in metabolomics studies, Analytical Letters, 1-14, 2025 (*Corresponding author)
  9. Gurung, B., Courreges, M. C., Pollak, J., Malgor, R., Jiang, L., Wang, B., & Wang, S. (2025). Non-invasive treatment of Clostridioides difficile infection with a human-origin probiotic cocktail through gut microbiome-gut metabolome modulations. Frontiers in Microbiology, 16, 1555220.
  10. Wang, B., McKenna, N., Pollak, J., Mayonu, M., & Jiang, L. (2025). The investigation of early metabolic level perturbation of northern quahog (Mercenaria mercenaria) in response to brevetoxin. Molecular Omics. 2025
  11. Park, G., Kadyan, S., Hochuli, N., Pollak, J., Wang, B., Salazar, G., ... & Nagpal, R. (2024). A modified Mediterranean-style diet enhances brain function via specific gut-microbiome-brain mechanisms. Gut Microbes, 16(1), 2323752.
  12. Park, G., Munley, J. A., Kelly, L. S., Kannan, K. B., Mankowski, R. T., Sharma, A., Upchurch, G., Casadesus, G., Chakrabarty, P., Wallet, S.M. and Maile, R., Bible, L.E., Wang, B. ... & Nagpal, R. (2024). Gut mycobiome dysbiosis after sepsis and trauma. Critical Care, 28(1), 18.
  13. Pollak, J., Mayonu, M., Jiang, L., & Wang, B. (2024). The development of machine learning approaches in two-dimensional NMR data interpretation for metabolomics applications. Analytical Biochemistry, 695, 115654. (*Corresponding author)
  14. Munley, J. A., Park, G., Kelly, L. S., Kannan, K. B., Mankowski, R. T., Casadesus, G., Chakrabarty, P., Wallet, S.M., Maile, R., Bible, L.E. and Wang, B ... & Efron, P. A. (2024). Persistence and Sexual Dimorphism of Gut Dysbiosis and Pathobiome after Sepsis and Trauma. Annals of Surgery, 10-1097.
  15. Burton, K., Ghadami, S., Dellinger, K., Wang, B., & Dong, M. (2024). Screening Peptide-Binding Partners for GenX via Phage Display. International Journal of Molecular Sciences, 25(5), 2686.
  16. Mishra, S. P., Jain, S., Wang, B., Wang, S., Miller, B. C., Lee, J. Y., ... & Yadav, H. (2024). Abnormalities in microbiota/butyrate/FFAR3 signaling in aging gut impair brain function. JCI insight, 9(3).
  17. Kadyan, S., Park, G., Hochuli, N., Miller, K., Wang, B., & Nagpal, R. (2024). Resistant starches from dietary pulses improve neurocognitive health via gut-microbiome-brain axis in aged mice. Frontiers in Nutrition, 11, 1322201.
  18. Wang, B., Jadhav, V., Odelade, A., Chang, E., Chang, A., Harrison, S. H., ... & Han, J. (2023). High fat diet reveals sex-specific fecal and liver metabolic alterations in C57BL/6J obese mice. Metabolomics, 19(12), 97.
  19. Kadyan, S., Park, G., Wang, B., Singh, P., Arjmandi, B., & Nagpal, R. (2023). Resistant starches from dietary pulses modulate the gut metabolome in association with microbiome in a humanized murine model of ageing. Scientific Reports, 13(1), 10566.
  20. Kadyan, S., Park, G., Wang, B., & Nagpal, R. (2023). Dietary fiber modulates gut microbiome and metabolome in a host sex-specific manner in a murine model of aging. Frontiers in Molecular Biosciences, 10, 1182643.
  21. Mishra, S. P., Wang, B., Jain, S., Ding, J., Rejeski, J., Furdui, C. M., ... & Yadav, H. (2023). A mechanism by which gut microbiota elevates permeability and inflammation in obese/diabetic mice and human gut. Gut.
  22. Jiang, L., & Wang, B. (2023). Metabolomics study on southern hard clams (Mercenaria campechiensis) response to diclofenac exposure. Environmental Science: Advances, 2(1), 107-114. (*Co-Corresponding author)
  23. Wang, B., Habermehl, C. and Jiang, L., 2022. Metabolomic analysis of honey bee (Apis mellifera L.) response to glyphosate exposure. Molecular Omics, 18(7), pp.635-642.
  24. Sullivan H., Wang B; Jiang L. (2022). Investigation of tropical plant‐based natural dyes combination and adsorption optimization for natural dye‐sensitized solar cell. Environmental Progress & Sustainable Energy, 41(4), e13809. (*Co-Corresponding author)
  25. Jiang, L.; Sullivan H, C.; Wang, B.* Evaluation of a new approach to analyzing the principal component analysis for multiple groups studies. Analytical Letters, 2022:DOI: 10.1080/00032719.2021.2019758 (*Corresponding author)
  26. Jiang L, Sullivan H, Seligman C, Gilchrist S, Wang B*. An NMR-based metabolomics study on sea anemones Exaiptasia diaphana (Rapp, 1829) with atrazine exposure. Mol Omics. 2021 Dec 6;17(6):1012-1020. doi: 10.1039/d1mo00223f. PMID: 34633404. (*Corresponding author)
  27. Wang, B.*, Jiang, L. Principal component analysis applications in COVID-19 genome sequences studies. Cognitive Computation, 2021, 1-12. (*Corresponding author)
  28. Wang, B*.; Maldonado-Devincci A.; Jiang L., Evaluating line-broadening factors on a reference spectrum as a bucketing method for NMR-based metabolomics, Analytical Biochemistry, 2020, 606, 113872. (*Corresponding author)
  29. Jiang, L.; Howlett, K.; Patterson, K.; Wang, B*., Introduction of a new method for two-dimensional NMR quantitative analysis in metabolomics studies. Analytical Biochemistry, 2020, 597 (15), 113692. (*Corresponding author)
  30. Ahmadi, S.; Wang, S.; Nagpal, R.; Wang, B.; Jain, S.; Razazan, A.; Mishra, S. P.; Zhu, X.; Wang, Z.; Kavanagh, K., A human-origin probiotic cocktail ameliorates aging-related leaky gut and inflammation via modulating microbiota-taurine-tight junction axis. JCI insight, 2020, 5(9), e132055.
  31. Ahmadi, S.; Razazan, A.; Nagpal, R.; Jain, S.; Wang, B.; Mishra, S. P.; Wang, S.; Justice, J.; Ding, J.; McClain, D. A., Metformin reduces aging-related leaky gut and improves cognitive function by beneficially modulating gut microbiome/goblet cell/mucin axis. The Journals of Gerontology: Series A, 2020, 75 (7), e9-e21.
  32. Patterson, K.; Howlett, K.; Patterson, K.; Wang, B*.; Jiang, L*., Photodegradation of Ibuprofen and four other pharmaceutical pollutants on natural pigments sensitized TiO2 Water Environment Research, 2020, 92 (8), 1152-1161. (Co-Corresponding author)
  33. Lodi, A; Saha, A; Lu, X; Wang, B; Sentandreu, et al, Combinatorial treatment with natural compounds in prostate cancer inhibits prostate tumor growth and leads to key modulations of cancer cell metabolism. npj Precision Oncology, 2017, 1 (1), 18.
  34. Sweeney S, Kavanaugh A, Lodi A, Wang B, Boyle DL, Tiziani S, Guma M. Metabolomic profiling predicts outcome of rituximab therapy in rheumatoid arthritis. RMD Open, 2016 2 (2), e000289.
  35. Wang, B; Sheriff, S; Balasubramaniam, A; Kennedy, M. A. NMR-based metabonomics study of NPY Y2 Receptor activation in SK-N-BE2, a human neuroblastoma cell line. Metabolomics, 2015, 11 (5), 1243-1252.
  36. Zhang, J.; Teng, S.; Zhong, C.; Wang, B.; Wu, J. Current developments in RNA sequence analysis. Bioinformatics and biology insights, 2015, 9 (Suppl 1), 61. (guest editorial)
  37. Shi, Z.; Wang, B.; Kennedy, M. A., Weber, G. F., Metabolic skewing during anchorage independence. Induction by Osteopontin-c, Plos One, 2014, 9 (8): e105675.
  38. Wang, B; Kennedy, M. A., Principal component analysis of protein sequence clusters, Journal of Structural and Functional Genomics, 2014, 1-11.
  39. Shi, Z.; Mirza M.; Wang, B.; Kennedy, M. A., Weber, G. F., Osteopontin-a alters glucose homeostasis in anchorage independent breast cancer cells, Cancer Letters, 2014, 344 (1), 47-53.
  40. Wang, B; Shi, Z.; Weber, G. F.; Kennedy, M. A., Introduction of a new critical p-value correction method for statistical significance analysis of metabonomics data. Analytical and Bioanalytical Chemistry, 2013, 405 (26), 8419-8429.
  41. Wang, B.; Goodpaster, A. M.; Kennedy, M. A., Coefficient of variation, signal-to-noise ratio, and effects of normalization in validation of biomarkers from NMR-based metabonomics studies. Chemometrics and Intelligent Laboratory Systems 2013, 128, 9-16.
  42. Morrow, A.; Lagomarcino, A.; Schibler, K.; Taft, D.; Yu, Z.; Wang, B.; Altaye, M.; Wagner, M.; Gevers, D.; Ward, D.; Kennedy, M.; Huttenhower, C.; Newburg, D., Early microbial and metabolomic signatures predict later onset of necrotizing enterocolitis in preterm infants. Microbiome 2013, 1 (1), 13.
  43. Deshpande, R.; Wang, B.; Dai, L.; Jiang, L.; Hartley, C.; Zou, S.; Wang, H.; Kerr, L., opp-Dibenzoporphyrins as a light-harvester for dye-sensitized solar cells. Chemistry-an Asian Journal 2012, 7 (11), 2662-2669.
  44. Wang, B.; Kerr, L., Stability of CdS-coated TiO2 solar cells. Journal of Solid State Electrochemistry, 2012, 16 (3), 1091-1097.
  45. Wang, B.; Kerr, L., Dye sensitized solar cells on paper substrates. Solar Energy Materials and Solar Cells, 2011, 95 (8), 2531-2535.
  46. Wang, B.; Kerr, L. L.; Nanostructured TiO2 and ZnO solar cells using cds as sensitizer: stability investigation, 35th IEEE Photovoltaic Specialists Conference, Honolulu, HI, 2010, 1819-1822.
  47. Wang, X.; Wang, ; Li, X., Analysis and assessment on main nutritious elements from inner and exterior contamination in Daming lake. Journal of University of Jinan (Science and Technology), 2010, 3, 012.
  48. Wang, X.; Wang, ; Li, X.; Ieee, Buffering characteristics of sediments phosphorus in Daming Lake, China. 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, Vols 1-11, 2009, 6660-6663.
  49. Li, Y.; Wang, B.; Li, X., The land cover classification and characteristics of Nansihu lake based on SPOT5 remote sensing image. Remote Sensing Technology and Application 2008, 1, 011.