PUBLICATIONS


Image credit: Yiran Zhang

At OSU:

95. Gold, A., Kaye, S., Gao, J., & Zhu, J. (2024). Propionate Decreases Microglial Activation but Impairs Phagocytic Capacity in Response to Aggregated Fibrillar Amyloid Beta Protein. ACS Chem Neurosci.

94. Cao, S., Pierson, J. T., Bond, A. H., Zhang, S., Gold, A., Zhang, H., Zamary, K. M., Moats, P., Teegarden, M. D., Peterson, D. G., Mo, X., Zhu, J., & Bruno, R. S. (2024). Intestinal-level anti-inflammatory bioactivities of whole wheat: Rationale, design, and methods of a randomized, controlled, crossover dietary trial in adults with prediabetes. Nutrition Research, 131, 83-95.

93. Zhu, J. (2024). New Metabolomic Insights Into Cancer. Cancer J, 30 (5), 301-306.

92. Zhang, N., J. Wu, S. Gao, H. Peng, H. Li, C. Gibson, S. Wu, J. Zhu and Q. Zheng (2024). “pH-Controlled Chemoselective Rapid Azo-Coupling Reaction (CRACR) Enables Global Profiling of Serotonylation Proteome in Cancer Cells.” Journal of Proteome Research.

91. Liu, Z., Sun, Y., Li, Y., Ma, A., Willaims, N. F., Jahanbahkshi, S., Hoyd, R., Wang, X., Zhang, S., Zhu, J., Xu, D., Spakowicz, D., Ma, Q., & Liu, B. An Explainable Graph Neural Framework to Identify Cancer-Associated Intratumoral Microbial Communities. Advanced Science, 2024, 2403393.

90. Guo, C., Chen, L., Xu, R., & Zhu, J. (2024). Insecticide-Induced Metabolic Dysregulation in Model Microbe E. coli Discovered by Comprehensive Metabolic Profiling. ACS Omega. in press.

89.Hussan, H., M. R. Ali, V. Lyo, A. Webb, M. Pietrzak, J. Zhu, F. Choueiry, H. Li, B. P. Cummings, M. L. Marco, V. Medici and S. K. Clinton (2024). “Bariatric Surgery Is Associated with Lower Concentrations of Fecal Secondary Bile Acids and Their Metabolizing Microbial Enzymes: A Pilot Study.” Obesity Surgery.

88. Benej, M., R. Hoyd, M. Kreamer, C. E. Wheeler, D. J. Grencewicz, F. Choueiry, C. H. F. Chan, Y. Zakharia, Q. Ma, R. D. Dodd, C. M. Ulrich, S. Hardikar, M. L. Churchman, A. A. Tarhini, L. A. Robinson, E. A. Singer, A. P. Ikeguchi, M. D. McCarter, G. Tinoco, M. Husain, N. Jin, A. C. Tan, A. E. G. Osman, I. Eljilany, G. Riedlinger, B. P. Schneider, K. Benejova, M. Kery, I. Papandreou, J. Zhu, N. Denko and D. Spakowicz (2024). “The Tumor Microbiome Reacts to Hypoxia and Can Influence Response to Radiation Treatment in Colorectal Cancer.” Cancer Res Commun 4(7): 1690-1701.

87. Krolick, K. N., Cao, J., Gulla, E. M., Bhardwaj, M., Marshall, S. J., Zhou, E. Y., Kiss, A. J., Choueiry, F., Zhu, J., & Shi, H. (2024). Subregion-specific transcriptomic profiling of rat brain reveals sex-distinct gene expression impacted by adolescent stress. Neuroscience.

86. Zhang, H., Zhang, S., Chen, L., Xu, R., & Zhu, J. (2024). LC-HRMS-based metabolomics and lipidomics analyses of a novel probiotic Akkermansia Muciniphila in response to different nutritional stimulations. Journal of Microbiological Methods, 223, 106975.

85. Lin, D., Gold, A., Kaye, S., Atkinson, J. R., Tol, M., Sas, A., Segal, B., Tontonoz, P., Zhu, J., & Gao, J. (2024). Arachidonic acid mobilization and peroxidation promote microglial dysfunction in Aβ pathology. The Journal of Neuroscience, e0202242024.

84. Zhang, N., Gao, S., Peng, H., Wu, J., Li, H., Gibson, C., Wu, S., Zhu, J., & Zheng, Q. (2024). Chemical Proteomic Profiling of Protein Dopaminylation in Colorectal Cancer Cells. Journal of Proteome Research.

83. Zhang, N., Wu, J., Hossain, F., Peng, H., Li, H., Gibson, C., Chen, M., Zhang, H., Gao, S., Zheng, X., Wang, Y., Zhu, J., Wang, J. J., Maze, I., & Zheng, Q. (2024). Bioorthogonal Labeling and Enrichment of Histone Monoaminylation Reveal Its Accumulation and Regulatory Function in Cancer Cell Chromatin. Journal of the American Chemical Society, 146 (24), 16714-16720.

82. Xu, R., Zhang, S., Li, J., & Zhu, J. (2024). Plasma and serum metabolic analysis of healthy adults shows characteristic profiles by subjects’ sex and age. Metabolomics, 20 (2), 43.

81. Xu, R., H. Zhang, M. W. Crowder and J. Zhu (2024). “Multiple and Optimal Screening Subset: a method selecting global characteristic congeners for robust foodomics analysis.” Briefings in Bioinformatics 25(2).

80. Wang, C.; Ma, A.; Li, Y.; McNutt, M. E.; Zhang, S.; Zhu, J.; Hoyd, R.; Wheeler, C. E.; Robinson, L. A.; Chan, C. H. A bioinformatics tool for identifying intratumoral microbes from the ORIEN dataset. Cancer research communications 2024, 4 (2), 293-302.

79. Zeng, M., Hodges, J. K., Pokala, A., Khalafi, M., Sasaki, G. Y., Pierson, J., Cao, S., Brock, G., Yu, Z., Zhu, J., Vodovotz, Y., & Bruno, R. S. (2024). A Green Tea Extract Confection Decreases Circulating Endotoxin and Fasting Glucose by Improving Gut Barrier Function but Without Affecting Systemic Inflammation: A Double-Blind, Placebo-Controlled Randomized Trial in Healthy Adults and Adults with Metabolic Syndrome$. Nutrition Research.

78.Chen, L., Xu, R., & Zhu, J. (2024). Lipidome isotope labelling of gut microbes (LILGM): A method of discovering endogenous microbial lipids. Talanta, 271, 125730.

77. Zhang, S., R. Xu, M. Hu, F. Choueiry, N. Jin, J. Li, X. Mo and J. Zhu (2024). “Distinct plasma molecular profiles between early-onset and late-onset colorectal cancer patients revealed by metabolic and lipidomic analyses.” Journal of Pharmaceutical and Biomedical Analysis 241: 115978.

76.Choueiry, F., A. Gold, R. Xu, S. Zhang and J. Zhu (2023). “Secondary-Electrospray Ionization Mass Spectrometry-Based Online Analyses of Mouse Volatilome Uncover Gut Microbiome-Dictated Metabolic Changes in the Host.” Journal of the American Society for Mass Spectrometry. DOI: 10.1021/jasms.3c00304

75.Choueiry, F., Xu, R., Meyrath, K., & Zhu, J. (2023). Database-assisted, globally optimized targeted secondary electrospray ionization high resolution mass spectrometry (dGOT-SESI-HRMS) and spectral stitching enhanced volatilomics analysis of bacterial metabolites. Analyst. In Press

74. Chen, H.; Fu, Y.; Han, M.; Han, X.; Hao, L.; Huan, T.; Huang, L.; Huang, M.; Ji, Q.; Jiang, T.; et al. Meeting Report on the 3rd Chinese American Society for Mass Spectrometry Conference-Advancing Biological and Pharmaceutical Mass Spectrometry. Biomed Chromatogr 2023, e5795. DOI: 10.1002/bmc.5795

73. Hussan, H., Clinton, S. K., Grainger, E. M., Webb, M., Wang, C., Webb, A., Needleman, B., Noria, S., Zhu, J., Choueiry, F., Pietrzak, M., & Bailey, M. T. (2023). Distinctive patterns of sulfide- and butyrate-metabolizing bacteria after bariatric surgery: potential implications for colorectal cancer risk. Gut Microbes, 15 (2), 2255345.

72. Zhang, S., Chen, L., Hu, M., & Zhu, J. (2023). 2′-Fucosyllactose (2′-FL) changes infants gut microbiota composition and their metabolism in a host-free human colonic model. Food Research International, 173, 113293.

71. Xu R, Chen L, Zhang H, Crowder MW, Zhu J. Characterizing bourbon whiskey via the combination of LC-MS and GC–MS based molecular fingerprinting. Food Chemistry. 2023;423:136311.

70. Zhou, X., Zhang, N., Kandalai, S., Li, H., Hossain, F., Zhang, S., Zhu, J., Zhang, J., Cui, J., & Zheng, Q. (2023). Dynamic and Wearable Electro-responsive Hydrogel with Robust Mechanical Properties for Drug Release. ACS Applied Materials & Interfaces, 15 (13), 17113-17122.

69. Khalsa, A. S., J. Burton, M. T. Bailey, J. Zhu, K. J. Kelleher, R. M. Maltz, B. R. Loman and C. K. Spees (2022). “Collection of biospecimens from parent-child dyads in a community garden-based nutrition intervention: protocol and feasibility.” BMC Nutrition 8(1): 141.

68. Hill, E. B., Chen, L., Bailey, M. T., Singh Khalsa, A., Maltz, R., Kelleher, K., Spees, C. K., Zhu, J., & Loman, B. R. (2022). Facilitating a high-quality dietary pattern induces shared microbial responses linking diet quality, blood pressure, and microbial sterol metabolism in caregiver-child dyads. Gut Microbes, 14 (1), 2150502.

67.Gold, A., Chen, L., & Zhu, J. (2022). More than Meets the Eye: Untargeted Metabolomics and Lipidomics Reveal Complex Pathways Spurred by Activation of Acid Resistance Mechanisms in Escherichia coli. Journal of Proteome Research.In press

66.Gold, A., & Zhu, J. (2022). Not just a gut feeling: a deep exploration of functional bacterial metabolites that can modulate host health. Gut Microbes, 14 (1), 2125734.

65. Chen, L., Xu, R., McDonald, J. D., Bruno, R. S., Choueiry, F., & Zhu, J. (2022). Dairy Milk Casein and Whey Proteins Differentially Alter the Postprandial Lipidome in Persons with Prediabetes: A Comparative Lipidomics Study. Journal of Agricultural and Food Chemistry.

64. Zhang, S., Xu, M., Sun, X., Shi, H., & Zhu, J. (2022). Green tea extract alters gut microbiota and their metabolism of adults with metabolic syndrome in a host-free human colonic model. Food Research International, 160, 111762.

63. Xu, R., J. Lee, S. Zhang, L. Chen and J. Zhu (2022). “Structure similarity and molecular networking analysis for the discovery of polyphenol biotransformation products of gut microbes.” Analytica Chimica Acta 1221: 340145.

62. Sun X, Dey P, Bruno RS, Zhu J. EGCG and Catechin Relative to Green Tea Extract Differentially Modulate the Gut Microbial Metabolome and Liver Metabolome To Prevent Obesity In Mice Fed A High-Fat Diet. The Journal of Nutritional Biochemistry. 2022:109094. DOI: https://doi.org/10.1016/j.jnutbio.2022.109094

61. Choueiry, F.; Barham, A.; Zhu, J., Analyses of lung cancer-derived volatiles in exhaled breath and in vitro models. Experimental Biology and Medicine, In Press (Invited Minireview)

60. Zhang, S.; Zhu, J., Untargeted Metabolomics Sensitively Differentiates Gut Bacterial Species in Single Culture and Co-culture Systems. ACS Omega. Online @ https://pubs.acs.org/doi/10.1021/acsomega.1c07114

59. Gold, A.; Choueiry, F.; Jin, N.; Mo, X.; Zhu, J., The Application of Metabolomics in Recent Colorectal Cancer Studies: A State-of-the-Art Review. Cancers (Basel) 2022, 14 (3), 725.

58.Choueiry, F.; Xu, R.; Zhu, J., Adaptive Metabolism of Staphylococcus aureus Revealed by Untargeted Metabolomics. Journal of Proteome Research 2022.

57. Parolin, C.; Zhu, W.; Zhu, J., Editorial: Metabolomics of Human Microbiome Studies: Recent Advances in Methods and Applications. Frontiers in molecular biosciences 2021, 8, 800337-800337.

56. Zhang, S.; Xu, M.; Sun, X.; Liu, X.; Choueiry, F.; Xu, R.; Shi, H.; Zhu, J., Black raspberry extract shifted gut microbe diversity and their metabolic landscape in a human colonic model. Journal of Chromatography B 2022, 1188, 123027.

55. Choueiry, F.; Zhu, J., Secondary electrospray ionization-high resolution mass spectrometry (SESI-HRMS) fingerprinting enabled treatment monitoring of pulmonary carcinoma cell in real-time. Analytica Chimica Acta 2021, 339230.

54. Xu, R.; Lee, J.; Chen, L.; Zhu, J., Enhanced detection and annotation of small molecules in metabolomics using molecular network-oriented parameter optimization (Front Cover Article). Molecular Omics, 2021, DOI: 10.1039/D1MO00005E

53. Choueiry, F.; Singh, S.; Sircar, A.; Laliotis, G.; Sun, X.; Chavdoula, E.; Zhang, S.; Helmig-Mason, J.; Hart, A.; Epperla, N.; Tsichlis, P.; Baiocchi, R.; Alinari, L.; Zhu, J.; Sehgal, L., Integration of Metabolomics and Gene Expression Profiling Elucidates IL4I1 as Modulator of Ibrutinib Resistance in ABC-Diffuse Large B Cell Lymphoma. Cancers 2021, 13 (9), 2146.

52. Chen, L.; Sun, X.; Khalsa, A. S.; Bailey, M. T.; Kelleher, K.; Spees, C.; Zhu, J., Accurate and Reliable Quantitation of Short Chain Fatty Acids from Human Feces by Ultra High-Performance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS). Journal of Pharmaceutical and Biomedical Analysis 2021, 114066.

51. Yang, K.; Xu, M.; Cao, J.; Zhu, Q.; Rahman, M.; Holmén, B. A.; Fukagawa, N. K.; Zhu, J., Ultrafine particles altered gut microbial population and metabolic profiles in a sex-specific manner in an obese mouse model. Sci Rep 2021, 11 (1), 6906.

50. Chen, L.; Zhang, S.; Sun, X.; McDonald, J. D.; Bruno, R. S.; Zhu, J., Application of Comparative Lipidomics to Elucidate Postprandial Metabolic Excursions Following Dairy Milk Ingestion in Individuals with Prediabetes. Journal of Proteome Research 2021.https://doi.org/10.1021/acs.jproteome.0c01009

49. Shen, M.; Xu, M.; Zhong, F.; Crist, M.C.; Prior, A.B.; Yang, K.; Allaire, D.M.; Choueiry, F.; Zhu, J.; Shi, H. A Multi-Omics Study Revealing the Metabolic Effects of Estrogen in Liver Cancer Cells HepG2. Cells 2021, 10, 455.

48.Lee JH, Zhu J. Analyses of short-chain fatty acids and exhaled breath volatiles in dietary intervention trials for metabolic diseases. Experimental Biology and Medicine. December 2020. doi:10.1177/1535370220979 (Invited review)

47. Xu M, Yang K, Zhu J. Monitoring the Diversity and Metabolic Shift of Gut Microbes during Green Tea Feeding in an In Vitro Human Colonic Model. Molecules 2020;25:5101 (Invited article)

46. Jain, N., S. Singh, G. Laliotis, A. Hart, E. Muhowski, K. Kupcova, T. Chrbolkova, T. Khashab, S. M. Chowdhury, A. Sircar, F. Shirazi, R. K. Singh, L. Alinari, J. Zhu, O. Havranek, P. Tsichlis, J. Woyach, R. Baiocchi, F. Samaniego and L. Sehgal (2020). “Targeting phosphatidylinositol 3 kinase-β and -δ for Bruton tyrosine kinase resistance in diffuse large B-cell lymphoma.” Blood Advances 4(18): 4382-4392.

45. Lee JHJ, Zhu J. Optimizing Secondary Electrospray Ionization High-Resolution Mass Spectrometry (SESI-HRMS) for the Analysis of Volatile Fatty Acids from Gut Microbiome. Metabolites. 2020;10(9):351.

44. Chen L, Zhong F, Zhu J. Bridging Targeted and Untargeted Mass Spectrometry-Based Metabolomics via Hybrid Approaches. Metabolites. 2020;10(9):348.

43. Yang, K., Xu, M., & Zhu, J. Evaluating the Impact of Four Major Nutrients on Gut Microbial Metabolism by a Targeted Metabolomics Approach. Journal of Proteome Research, 2020, 19(5), 1991–1998. https://doi.org/10.1021/acs.jproteome.9b00806

42. Xu M, Wang C, Krolick KN, Shi H, Zhu J. Difference in post-stress recovery of the gut microbiome and its altered metabolism after chronic adolescent stress in rats. Sci Rep. 2020;10(1):3950.

41. Hodges JK, Zhu J, Yu Z, et al. Intestinal-level anti-inflammatory bioactivities of catechin-rich green tea: Rationale, design, and methods of a double-blind, randomized, placebo-controlled crossover trial in metabolic syndrome and healthy adults. Contemporary Clinical Trials Communications. 2020;17:100495.

40. F. Zhong, M. Xu, J. Zhu, Development and application of time staggered/mass staggered-globally optimized targeted mass spectrometry, J. Chromatogr. B, 1120 (2019) 80-88.

39. Rutowski, J.; Zhong, F.; Xu, M.; Zhu, J., Metabolic shift of Staphylococcus aureus under sublethal dose of methicillin in the presence of glucose. J. Pharm. Biomed. Anal. 2019, 167, 140-148.

At Miami:

38. Li, H. , Zhu, J. and Hill, J. E. (2019). Secondary Electrospray Ionization Mass Spectrometry for Breath Studies. In Encyclopedia of Analytical Chemistry, R. A. Meyers (Ed.). doi:10.1002/9780470027318.a9607 (invited article)

37. Dey, P.; Sasaki, G. Y.; Wei, P.; Li, J.; Wang, L.; Zhu, J.; McTigue, D.; Yu, Z.; Bruno, R. S., Green tea extract prevents obesity in male mice by alleviating gut dysbiosis in association with improved intestinal barrier function that limits endotoxin translocation and adipose inflammation. The Journal of Nutritional Biochemistry 2019;67:78-89.

36. Li H, Xu M, Zhu J. Headspace Gas Monitoring of Gut Microbiota Using Targeted and Globally Optimized Targeted Secondary Electrospray Ionization Mass Spectrometry. Anal Chem. 2018 Dec 5. doi: 10.1021/acs.analchem.8b03517.

35. Yang, K.; Xu, M.; Zhong, F.; Zhu, J., Rapid differentiation of Lactobacillus species via metabolic profiling. J. Microbiol. Methods 2018.

34. Li, H.; Zhu, J., Differentiating Antibiotic-Resistant Staphylococcus aureus Using Secondary Electrospray Ionization Tandem Mass Spectrometry. Anal. Chem. 2018, 90 (20), 12108-12115.

33. Wang, Y.; Grenell, A.; Zhong, F.; Yam, M.; Hauer, A.; Gregor, E.; Zhu, S.; Lohner, D.; Zhu, J.; Du, J., Metabolic signature of the aging eye in mice. Neurobiol. Aging 2018. In press.

32. Xu, M.; Zhong, F.; Bruno, R. S.; Ballard, K. D.; Zhang, J.; Zhu, J., Comparative Metabolomics Elucidates Postprandial Metabolic Modifications in Plasma of Obese Individuals with Metabolic Syndrome. J. Proteome Res. 2018, 17 (8), 2850-2860.

31. Zhong, F.; Xu, M.; Metz, P.; Ghosh-Dastidar, P.; Zhu, J., A quantitative metabolomics study of bacterial metabolites in different domains. Anal. Chim. Acta 2018. 1037:237-244. (Invited Article in Special Issue of Analytical Metabolomics)

30. Yang, K.; Duley, M. L.; Zhu, J., Metabolomics Study Reveals Enhanced Inhibition and Metabolic Dysregulation in Escherichia coli Induced by Lactobacillus acidophilus-Fermented Black Tea Extract. J. Agric. Food. Chem. 2018, 66 (6), 1386-1393.

29. Sallese, A. and J. Zhu (2017). “Mass spectrometry based metabolomics: a novel analytical technique for detecting metabolic syndrome?” Bioanalysis 9(21): 1623-1626. (Invited Editorial)

28. Li, H., and Zhu, J. (2017) Targeted metabolic profiling rapidly differentiates Escherichia coli and Staphylococcus aureus at species and strain level, Rapid Commun. Mass Spectrom. 31: 1669-1676.

27. Schelli, K., Zhong, F., and Zhu, J. (2017) Comparative metabolomics revealing Staphylococcus aureus metabolic response to different antibiotics, Microbial Biotechnology.

26. Wang, C.; Zhu, J., HPLC-MS/MS targeted metabolic profiling reveals distinct metabolic profiles from Staphylococcus aureus small-colony variants. J. Chromatogr. B.

25. Zhong, F.; Xu, M.; Schelli, K.; Rutowski, J.; Holmén, B. A.; Zhu, J., Comparing the impact of ultrafine particles from petrodiesel and biodiesel combustion to bacterial metabolism by targeted HPLC-MS/MS metabolic profiling. Ecotoxicol. Environ. Saf. 2017, 142, 164-170.

24. Zhong, F., Xu, M., Bruno, R. S., Ballard, K. D., Zhu, J., Targeted High Performance Liquid Chromatography Tandem Mass Spectrometry-based Metabolomics differentiates metabolic syndrome from obesity. Exp. Biol. Med. 2017, 242, 773-780.

23. Xu M, Zhong F, Zhu J. Evaluating metabolic response to light exposure in Lactobacillus species via targeted metabolic profiling. J Microbiol Methods. 2017;133:14-9.

22. Schelli, K.; Rutowski, J.; Roubidoux, J.; Zhu, J., Staphylococcus aureus Methicillin Resistance Detected by HPLC-MS/MS Targeted Metabolic Profiling. Journal of Chromatography B. 2016 Jun 3. pii: S1570-0232(16)30373-7. doi: 10.1016/j.jchromb.2016.05.052.

21. Deng, L., F. Guo, K.-K. Cheng, J. Zhu, H. Gu, D. Raftery and J. Dong (2020). “Identifying Significant Metabolic Pathways Using Multi-Block Partial Least-Squares Analysis.” Journal of Proteome Research 19(5): 1965-1974.

20. C. Chen, G. A. Nagana Gowda, J. Zhu, L. Deng, H. Gu, E. G. Chiorean, M. Abu Zaid, M. Harrison, D. Zhang, M. Zhang, D. Raftery, Altered metabolite levels and correlations in patients with colorectal cancer and polyps detected using seemingly unrelated regression analysis. Metabolomics 2017, 13, 125.

19. Buas MF, Gu H, Djukovic D, Zhu J, Onstad L, Reid BJ, Raftery D, Vaughan TL. Candidate serum metabolite biomarkers for differentiating gastroesophageal reflux disease, Barrett’s esophagus, and high-grade dysplasia/esophageal adenocarcinoma. Metabolomics. 2017;13(3):23.

18. Quantitative Method to Investigate the Balance between Metabolism and Proteome Biomass: Starting from Glycine. Gu H, Carroll PA, Du J, Zhu J, Neto FC, Eisenman RN, Raftery D. Angew Chem Int Ed Engl. 2016 Nov 15. doi: 10.1002/anie.201609236.

17. Deng, L.; Gu, H.; Zhu, J.; Nagana Gowda, G. A.; Djukovic, D.; Chiorean, E. G.; Raftery, D., Combining NMR and LC/MS Using Backward Variable Elimination: Metabolomics Analysis of Colorectal Cancer, Polyps, and Healthy Controls. Analytical Chemistry 2016, 88 (16), 7975-7983.

16. Gu, H., Zhang, P., Zhu, J., & Raftery, D. (2015). Globally Optimized Targeted Mass Spectrometry (GOT-MS): Reliable Metabolomics Analysis with Broad Coverage. Analytical Chemistry. doi: 10.1021/acs.analchem.5b03812

15. Buas, M. F., Gu, H., Djukovic, D., Zhu, J., Drescher, C. W., Urban, N., Li, C. I. Identification of novel candidate plasma metabolite biomarkers for distinguishing serous ovarian carcinoma and benign serous ovarian tumors. Gynecologic Oncology. doi: http://dx.doi.org/10.1016/j.ygyno.2015.10.021

14. Zhu, J., Djukovic, D., Deng, L., Gu, H., Himmati, Abu Zaid, M., F., Chiorean E. and Raftery, D. Targeted Serum Metabolite Profiling for Colorectal Cancer Progression Monitoring. 2015 Anal Bioanal Chem. 2015 Oct;407(26):7857-63. doi: 10.1007/s00216-015-8984-8.

13. Bean, H. D.; Mellors, T. R.; Zhu, J.; Hill, J. E., Profiling Aged Artisanal Cheddar Cheese Using Secondary Electrospray Ionization Mass Spectrometry. 2015 Journal of Agricultural and Food Chemistry, 63 (17), 4386-4392.

12. Zhu, J., Djukovic, D., Deng, L., Gu, H., Himmati, F., Chiorean E. and Raftery, D. Colorectal Cancer Detection using Targeted Serum Metabolic Profiling. 2014 Journal of Proteome Research. Sep 5;13(9):4120-30. doi: 10.1021/pr500494u.

11. Bean, H*., Zhu, J.*. Sengle, J. and Hill, J. E. Identifying methicillin-resistant Staphylococcus aureus (MRSA) lung infections in mice using breath and secondary electrospray ionization-mass spectrometry (SESI-MS).2014 Journal of Breath Research. Oct 13;8(4):041001. doi: 10.1088/1752-7155/8/4/041001. * Co-first authors.

10. Bean, H., Jiménez-Díaz, J., Zhu, J. and Hill, J. E. Breathprints of Model Murine Bacterial Lung Infections are Linked with Immune Response. 2015 Eur Respir J. Jan; 45(1):181-90. doi: 10.1183/09031936.00015814

9. Yao, W., Gu, H., Zhu, J., Barding, G., Cheng, H., Bao, B., Zhang, L., Ding, A., and Li, W. Integrated Plasma and Urine Metabolomics Coupled with HPLC/QTOF-MS and Chemometric Analysis on Potential Biomarkers in Liver Injury and Hepatoprotective Effects of Er-Zhi-Wan. 2014 Anal Bioanal Chem. 2014 Nov;406(28):7367-78. doi: 10.1007/s00216-014-8169-x.

8. Zhu, J., Jiménez-Díaz, J., Bean, H., J. Dapthary, N., Aliyeva, M., Lundbladand, L. and Hill, J. E. Robust detection of P. aeruginosa and S. aureus acute lung infections by secondary electrospray ionization-mass spectrometry (SESI-MS) breathprinting: From initial infection to clearance. 2013. Journal of Breath Research 7 (3), 037106.

7. Zhu, J., Bean, H., Jiménez-Díaz, J. and Hill, J. E. Secondary electrospray ionization-mass spectrometry (SESI-MS) breathprinting of multiple bacterial lung pathogens, a mouse model study. 2013. Journal of Applied Physiology 114 (11), 1544-1549

6. Zhu, J., Bean, H., Wargo, M., Leclair, L. and Hill, J. E. Detecting bacterial lung infections, in vivo evaluation of in vitro volatile fingerprints. 2013. Journal of Breath Research 7 016003.

5. Zhu, J. and Hill, J. E. Detection of Escherichia coli via VOC Profiling using Secondary Electrospray Ionization-Mass Spectrometry (SESI-MS). 2013. Food Microbiology. 34(2):412-7.

4. Bean, H. D., Zhu, J., Hill, J. E. Characterizing Bacterial Volatiles using Secondary Electrospray Ionization Mass Spectrometry (SESI-MS). 2011 Journal of Visualized Experiments. (52), e2664, DOI: 10.3791/2664.

3. Zhu, J., Bean H., Kuo Y.-M., and Hill J. E. Fast detection of volatile organic compounds from bacterial cultures by secondary electrospray ionization-mass spectrometry. 2010. Journal of Clinical Microbiology 48:4426-31.

2. Zhu, J., Wang, X., Guo, L., Wang, Y., Wang, Y., Yu, M., and Lau, K. A graphite foam reinforced by graphite particles. 2007. Carbon, 45 (13): 2547-2550.

1. Xiong, C., Zhu, J., Wang, Y. The preparation of a novel microcellular PET fiber. Synthetic Technology and Application. 2005. 20 (4): 109-113.