栾合密
邮箱:
研究论文
-- 2024
Qi Z, Cao Y, Li D, Wu C, Wu K, Song Y, Huang Z, Luan H, Meng X, Yang Z, Cai Z. Nontarget Analysis of Legacy and Emerging PFAS in a Lithium-Ion Power Battery Recycling Park and Their Possible Toxicity Measured Using High-Throughput Phenotype Screening. Environ Sci Technol. 2024 Aug 13;58(32):14530-14540. doi: 10.1021/acs.est.4c03552.
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.
Luan H, Chen S, Lian J, Zhao B, Xu X, Chen Y, Yang Y, Jiang Z, Qi M, Liu J, Zhang W, Luan T, Hong X. Biofluorescence imaging-guided spatial metabolic tracing: In vivo tracking of metabolic activity in circulating tumor cell-mediated multi-organ metastases. Talanta. 2024 Aug 10;280:126696. doi: 10.1016/j.talanta.2024.126696.
-- 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.; 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).
开发的软件算法工具
statTarget
Web: https://stattarget.github.io
Link: https://www.ms-utils.org
Link: https://bioconductor.org/packages/release/bioc/html/statTarget.html
Protable Version: https://github.com/statTarget/statTarget2/releases/tag/statTarget
CPVA
Web: https://github.com/13479776/cpva
mID
小分子化合物质谱鉴定系统 V1.0,计算机软件著作权登记证书,(证书号:软著登字第11956636号) 2023.11.
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