Luan hemi
- 教授
- Name (Pinyin):Luan hemi
- School/Department:生物医药学院
- Contact Information:hm-luan@msn.com
- Professional Title:教授
- Teacher College:School of Biomedicine
- Email:
- Research
Papers
-- 2024
Wang, X.; Wang, B.; Ji, F.; Yan, J.; Fang, J.; Zhang, D.; Xu, J.; Ji, J.; Hao, X.; Luan, H. Discovery of plasma biomarkers for Parkinson's disease diagnoses based on metabolomics and lipidomics. Chinese Chemical Letters 2024, 109653.
-- 2023
Wang, X.; Hao, X.; Yan, J.; Xu, J.; Hu, D.; Ji, F.; Zeng, T.; Wang, F.; Wang, B.; Fang, J. Urine biomarkers discovery by metabolomics and machine learning for Parkinson's disease diagnoses. Chinese Chemical Letters 2023, 34 (10), 108230.
Luan, H.; Li, X.; Zhang, W.; Luan, T. Thermal proteome profiling unveils protein targets of deoxycholic acid in living neuronal cells. Advanced Biotechnology 2023, 1 (4), 7.
Luan, H.; Chen, S.; Zhao, L.; Liu, S.; Luan, T. Precise lipidomics decipher circulating ceramide and sphingomyelin cycle associated with the progression of rheumatoid arthritis. Journal of Proteome Research 2023, 22 (12), 3893-3900.
Luan, H.; Cai, Z. Introduction to artificial intelligence and machine learning in environmental science. Environmental Science: Advances 2023, 2(9), 1149-1150.
Chen, S.; Li, X.; Liu, S.; Zhao, L.; Zhang, W.; Xiong, Z.; Luan, H. Rapid, sensitive, and high-throughput quantification of broad serological ceramides by using isotope dilution liquid chromatography-negative ion electrospray tandem mass spectrometry. Analytical and Bioanalytical Chemistry 2023, 415 (5), 801-808.
-- 2022
Luan, H. Machine learning for screening active metabolites with metabolomics in environmental science. Environmental Science: Advances 2022, 1 (5), 605-611.
Luan, H.; Zhao, H.; Li, J.; Zhou, Y.; Fang, J.; Liu, H.; Li, Y.; Xia, W.; Xu, S.; Cai, Z. Research Article Machine Learning for Investigation on Endocrine-Disrupting Chemicals with Gestational Age and Delivery Time in a Longitudinal Cohort. RESEARCH 2021, 2021.
Luan, H.; Zhao, H.; Li, J.; Zhou, Y.; Fang, J.; Liu, H.; Li, Y.; Xia, W.; Xu, S.; Cai, Z. Machine learning for investigation on endocrine-disrupting chemicals with gestational age and delivery time in a longitudinal cohort. Research 2021.
Luan, H.; Gu, W.; Li, H.; Wang, Z.; Lu, L.; Ke, M.; Lu, J.; Chen, W.; Lan, Z.; Xiao, Y. Serum metabolomic and lipidomic profiling identifies diagnostic biomarkers for seropositive and seronegative rheumatoid arthritis patients. Journal of translational medicine 2021, 19, 1-10.
Zhao, H.; Li, H.; Zheng, Y.; Zhu, L.; Fang, J.; Xiang, L.; Xu, S.; Zhou, Y.; Luan, H.; Xia, W. Association of altered serum acylcarnitine levels in early pregnancy and risk of gestational diabetes mellitus. Science China Chemistry 2020, 63, 126-134.
Luan, H.; Jiang, X.; Ji, F.; Lan, Z.; Cai, Z.; Zhang, W. CPVA: a web-based metabolomic tool for chromatographic peak visualization and annotation. Bioinformatics 2020, 36 (12), 3913-3915.
Li, H.; Xu, R.; Yang, L.; Luan, H.; Chen, S.; Chen, L.; Cai, Z.; Tian, R. Combinatory data-independent acquisition and parallel reaction monitoring method for deep profiling of gangliosides. Analytical Chemistry 2020, 92 (15), 10830-10838.
-- 2019
Shi, J.; Xiang, L.; Luan, H.; Wei, Y.; Ren, H.; Chen, P. The health concern of polychlorinated biphenyls (PCBs) in a notorious e-waste recycling site. Ecotox Environ Safe 2019, 186, 109817.
Luan, H.; Wang, X.; Cai, Z. Mass spectrometry‐based metabolomics: Targeting the crosstalk between gut microbiota and brain in neurodegenerative disorders. Mass spectrometry reviews 2019, 38 (1), 22-33.
Li, J.; Xia, W.; Wu, C.; Zhao, H.; Zhou, Y.; Wei, J.; Ji, F.; Luan, H.; Xu, S.; Cai, Z. Variations of phthalate exposure and metabolism over three trimesters. Environmental Pollution 2019, 251, 137-145.
Ji, F.; Wei, J.; Luan, H.; Li, M.; Cai, Z. Study of metabolic disorders associated with BDE-47 exposure in Drosophila model by MS-based metabolomics. Ecotox Environ Safe 2019, 184, 109606.
Ji, F.; Sreenivasmurthy, S. G.; 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. Journal of hazardous materials 2019, 378, 120738.
-- 2018
Zhao, H.; Li, H.; Chung, A. C. K.; Xiang, L.; Li, X.; Zheng, Y.; Luan, H.; Zhu, L.; Liu, W.; Peng, Y. Large-scale longitudinal metabolomics study reveals different trimester-specific alterations of metabolites in relation to gestational diabetes mellitus. Journal of proteome research 2018, 18 (1), 292-300.
Xiang, L.; Zhang, H.; Wei, J.; Tian, X. Y.; Luan, H.; Li, S.; Zhao, H.; Cao, G.; Chung, A. C.; Yang, C. Metabolomics studies on db/db diabetic mice in skeletal muscle reveal effective clearance of overloaded intermediates by exercise. Analytica Chimica Acta 2018, 1037, 130-139.
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. Analytica chimica acta 2018, 1036, 66-72.
Luan, H.; Ji, F.; Chen, Y.; Cai, Z. Quality control-based signal drift correction and interpretations of metabolomics/proteomics data using random forest regression. Biorxiv 2018, 253583.
--2017
Luan, H.; Yang, 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 2017, 1047, 180-184.
Luan, H. HKBU Institutional Repositor y. Mass spectrometry 2017, 8, 1-2017.
Luan, H. Mass spectrometry based metabolomics for biomarkers of Parkinson's disease. 2017.
Ji, F.; Luan, H.; Huang, Y.; Cai, Z.; Li, M. MS-based metabolomics for the investigation of neuro-metabolic changes associated with BDE-47 exposure in C57BL/6 mice. Journal of Analysis and Testing 2017, 1 (3), 233-244.
-- 2016
Yang, L.; Li, J.; Lai, J.; Luan, H.; Cai, Z.; Wang, Y.; Zhao, Y.; Wu, Y. Placental transfer of perfluoroalkyl substances and associations with thyroid hormones: Beijing prenatal exposure study. Sci Rep-Uk 2016, 6 (1), 21699.
Wang, S.; Chen, X.; Luan, H.; Gao, D.; Lin, S.; Cai, Z.; Liu, J.; Liu, H.; 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 Sp 2016, 30 (4), 533-542.
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 (1), s13742-13015-10054-13749.
Luan, H.; Meng, N.; Liu, P.; Feng, Q.; Lin, S.; Fu, J.; Davidson, R.; Chen, X.; Rao, W.; Chen, F. Correction to “Pregnancy-Induced Metabolic Phenotype Variations in Maternal Plasma”. Journal of proteome research 2015, 14 (7), 3005-3005.
Luan, H.; Liu, L.-F.; Tang, Z.; Zhang, M.; Chua, K.-K.; Song, J.-X.; Mok, V. C.; Li, M.; Cai, Z. Comprehensive urinary metabolomic profiling and identification of potential noninvasive marker for idiopathic Parkinson’s disease. Sci Rep-Uk 2015, 5 (1), 13888.
Luan, H.; Liu, L.-F.; Tang, Z.; Mok, V.; Li, M.; Cai, Z. Elevated excretion of biopyrrin as a new marker for idiopathic Parkinson's disease. Parkinsonism Relat Disord 2015, 21 (11), 1371-1372.
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. LC–MS-based urinary metabolite signatures in idiopathic Parkinson’s disease. Journal of proteome research 2015, 14 (1), 467-478.
Su, L.; Huang, Y.; Zhu, Y.; Xia, L.; Wang, R.; Xiao, K.; Wang, H.; Yan, P.; Wen, B.; Cao, L. Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach. BMJ open respiratory research 2014, 1 (1), e000056.
Qin, C.; Yu, C.; Shen, Y.; Fang, X.; Chen, L.; Min, J.; Cheng, J.; Zhao, S.; Xu, M.; Luo, Y. Whole-genome sequencing of cultivated and wild peppers provides insights into Capsicum domestication and specialization. Proceedings of the National Academy of Sciences 2014, 111 (14), 5135-5140.
Luan, H.; Meng, N.; Liu, P.; Feng, Q.; Lin, S.; Fu, J.; Davidson, R.; Chen, X.; Rao, W.; Chen, F. Pregnancy-induced metabolic phenotype variations in maternal plasma. Journal of proteome research 2014, 13 (3), 1527-1536.
Luan, H.; Meng, N.; Fu, J.; Chen, X.; Xu, X.; Feng, Q.; Jiang, H.; Dai, J.; Yuan, X.; Lu, Y. Genome-wide transcriptome and antioxidant analyses on gamma-irradiated phases of Deinococcus radiodurans R1. PloS one 2014, 9 (1), e85649.
Luan, H.; Chen, X.; Zhong, S.; Yuan, X.; Meng, N.; Zhang, J.; Fu, J.; Xu, R.; Lee, C.; Song, S. Serum metabolomics reveals lipid metabolism variation between coronary artery disease and congestive heart failure: a pilot study. Biomarkers 2013, 18 (4), 314-321.
Luan, H.-M.; Wang, L.-C.; Wu, H.; Jin, Y.; Ji, J. Antioxidant activities and antioxidative components in the surf clam, Mactra veneriformis. Natural Product Research 2011, 25 (19), 1838-1848.
Luan, H.; Wang, L.; Hao, W.; Jin, Y.; Chen, S. Determination of Taurine in Mactra Veneriformis by Pre-column Derivatization RP-HPLC. Traditional Chinese Drug Research & Clinical Pharmacology 2010, 21 (02).