Assistant Professor (Research ) Academy for Advanced Interdisciplinary Studies

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We are dedicated to intergrate mass spectrometry, and computational biology for active small molecules and their molecular targets discovery, with emphasis on applications in biomedicine, environmental pollutant toxicology, and human health.

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  1. L. Cao, Y. Li, S. Yang, G. Li, Q. Zhou, J. Sun, T. Xu, Y. Yang, R. Liao, Y. Shi, Y. Yang, T. Zhu, S. Huang, Y. Ji, F. Cong, Y. Luo, Y. Zhu, H. Luan, H. Zhang, J. Chen, X. Liu, R. Luo, L. Liu, P. Wang, Y. Yu, F. Xing, B. Ke, H. Zheng, X. Deng, W. Zhang, C. Lin, M. Shi, C.-M. Li, Y. Zhang, L. Zhang, J. Dai, H. Lu, J. Zhao, X. Zhang, D. Guo, The adenosine analog prodrug ATV006 is orally bioavailable and has preclinical efficacy against parental SARS-CoV-2 and variants, Science Translational Medicine 2022, DOI: 10.1126/scitranslmed.abm7621
  2. Luan, H., Gu, W., Li, H. et al. Serum metabolomic and lipidomic profiling identifies diagnostic biomarkers for seropositive and seronegative rheumatoid arthritis patients. J Transl Med 2021, 19, 500.
  3. Hemi Luan, Hongzhi Zhao, Jiufeng Li, Yanqiu Zhou, Jing Fang, Hongxiu Liu, Yuanyuan Li, Wei Xia, and Shunqing Xu, Zongwei Cai. Machine Learning for Investigation on Endocrine-Disrupting Chemicals with Gestational Age and Delivery Time in A Longitudinal Cohort. Research 2021 Article ID 9873135.
  4. Luan, H.*, Jiang X., Lan Z., Ji F., Cai Z, Zhang W*. CPVA: a web-based metabolomic tool for chromatographic peak visualization and annotation. Bioinformatics 2020, 12, 3913-3915
  5. Hongzhi Zhao, Han Li, Yuanyuan Zheng, Zhu Lin, Jing Fang, Li Xiang, Shunqing Xu, Yanqiu Zhou, Hemi Luan, Wei Xia & Zongwei Cai. Association of altered serum acylcarnitine levels in early pregnancy and risk of gestational diabetes mellitus. Sci. China Chem. 2020, 63, 126–134.
  6. Luan, H., Xian Wang, Zongwei Cai*, Mass spectrometry-based metabolomics: Targeting the crosstalk between gut microbiota and brain in neurodegenerative disorders. Mass Spectrometry Reviews 2019, 38, 22-33
  7. Ji F, Sreenivasmurthy SG, Wei J, Shao X, Luan H, Zhu L, Song J, Liu L, Li M, Cai Z. Study of BDE-47 induced Parkinson’s disease-like metabolic changes in C57BL/6 mice by integrated metabolomic, lipidomic and proteomic analysis. J Hazard Mater. 2019, 15;378:120738.
  8. Zhao H, Li H, Chung ACK, Xiang L, Li X, Zheng Y, Luan H, Zhu L, Liu W, Peng Y, Zhao Y, Xu S, Li Y, Cai Z. Large-Scale Longitudinal Metabolomics Study Reveals Different Trimester-Specific Alterations of Metabolites in Relation to Gestational Diabetes Mellitus. J Proteome Res. 2019, 18(1):292-300.
  9. Shi Jingchun, Xiang Li, Luan Hemi, et al. The health concern of polychlorinated biphenyls (PCBs) in a notorious e-waste recycling site. Ecotoxicology and Environmental Safety, 2019, 186.
  10. Ji Fenfen,Wei Juntong, Luan Hemi, et al. Study of metabolic disorders associated with BDE-47 exposure in Drosophila model by MS-based metabolomics. Ecotoxicology and Environmental Safety, 2019,184.
  11. Li Jiufeng, Xia Wei, Wu Chuansha, Hemi Luan, et al.. Variations of phthalate exposure and metabolism over three trimesters. Environmental Pollution, 2019, 251:137-145.
  12. Luan H.*, Ji F., Chen Y., Cai Z.*, statTarget: A streamlined tool for signal drift correction and interpretations of quantitative mass spectrometry-based omics data. Anal Chim Acta. 2018, 1036, 66-72.
  13. Xiang L, Zhang H, Wei J, Tian XY, Luan H, Li S, Zhao H, Cao G, Chung ACK, Yang C, Huang Y, Cai Z. Metabolomics studies on db/db diabetic mice in skeletal muscle reveal effective clearance of overloaded intermediates by exercise. Anal Chim Acta. 2018, 1037:130-139.
  14. Ji, F., Luan, H., Huang, Y. et al. MS-Based Metabolomics for the Investigation of Neuro-Metabolic Changes Associated with BDE-47 Exposure in C57BL/6 Mice. Anal. Test. 2017, 1, 233–244.
  15. Luan, H., Chen, L., Ji, F., Cai, Z., PCI-GC-MS-MS approach for identification of non-amino organic acid and amino acid profiles. Journal of Chromatography B 2016, 1047, 180-184
  16. Yang L., Li J., Lai J, Luan H., Cai Z., Wang Y., Zhao Y. and Wu Y., Placental transfer of perfluoroalkyl substances and associations with thyroid hormones: Beijing prenatal exposure study. Rep. 2016, 6, 21699.
  17. Wang, S., Chen, X., Luan, H., Gao, D., Lin, S., Cai, Z., Liu, J., Liu, H., and Jiang, Y. Matrix-assisted laser desorption/ionization mass spectrometry imaging of cell cultures for the lipidomic analysis of potential lipid markers in human breast cancer invasion. Rapid Commun. Mass Spectrom. 2016, 30: 533–42.
  18. Luan, H.; Meng, N.; Liu, P.; Fu, J.; Chen, X.; Rao, W.; Jiang, H.; Xu, X.; Cai, Z.; Wang, J., Non-targeted metabolomics and lipidomics LC-MS data from maternal plasma of 180 healthy pregnant women. Gigascience 2015, 4, 16.
  19. Luan, H.; Liu, L.; Tang, Z.; Mok, V.; Li, M.; Cai, Z., Elevated excretion of biopyrrin as a new marker for idiopathic Parkinson’s disease, Parkinsonism & Related Disorders2015,  21, 1371-2
  20. Luan, H.; Liu, L.; Tang, Z.; Zhang, M.; Chua, K.; Song, J.; Mok, V.; Li, M.; Cai, Z.,Comprehensive urinary metabolomic profiling and identification of potential noninvasive marker for idiopathic Parkinson’s disease. Rep. 2015, 5, 13888.
  21. Luan, H.*; Meng, N.; Liu, P.; Feng, Q.; Lin, S.; Fu, J.; Davidson, R.; Chen, X.; Rao, W.; Chen, F.; Jiang, H.; Xu, X.; Cai, Z.; Wang, J., Pregnancy-induced metabolic phenotype variations in maternal plasma. J Proteome Res 2014, 13, (3), 1527-36.
  22. Luan, H.; Liu, L. F.; Meng, N.; Tang, Z.; Chua, K. K.; Chen, L. L.; Song, J. X.; Mok, V. C.; Xie, L. X.; Li, M.; Cai, Z., LC-MS-Based Urinary Metabolite Signatures in Idiopathic Parkinson’s Disease. J Proteome Res 2014. 14(1):467-78.
  23. Qin, C.; Yu, C.; Shen, Y.; Fang, X.; Chen, L.; Min, J.; …; Luan, H.; et. al, Whole-genome sequencing of cultivated and wild peppers provides insights into Capsicum domestication and specialization. Proc Natl Acad Sci U S A 2014, 111, (14), 5135-40.



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