| [1] | GRIBKOFF V K, KACZMAREK L K. The need for new approaches in CNS drug discovery: why drugs have failed, and what can be done to improve outcomes[J]. Neuropharmacology,2017,120:11-19. doi: 10.1016/j.neuropharm.2016.03.021 |
| [2] | MARTINELLI C, PUCCI C, BATTAGLINI M, et al. Antioxidants and nanotechnology: promises and limits of potentially disruptive approaches in the treatment of central nervous system diseases[J]. Adv Healthc Mater,2020,9(3):e1901589. doi: 10.1002/adhm.201901589 |
| [3] | NICHOLSON J K, LINDON J C, HOLMES E. 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data[J]. Xenobiotica,1999,29(11):1181-1189. doi: 10.1080/004982599238047 |
| [4] | CUPERLOVIC-CULF M, BADHWAR A. Recent advances from metabolomics and lipidomics application in Alzheimer's disease inspiring drug discovery[J]. Expert Opin Drug Discov,2020,15(3):319-331. doi: 10.1080/17460441.2020.1674808 |
| [5] | BALCERCZYK A, DAMBLON C, ELENA-HERRMANN B, et al. Metabolomic approaches to study chemical exposure-related metabolism alterations in mammalian cell cultures[J]. Int J Mol Sci,2020,21(18):6843. doi: 10.3390/ijms21186843 |
| [6] | DOMENICK T M, GILL E L, VEDAM-MAI V, et al. Mass spectrometry-based cellular metabolomics: current approaches, applications, and future directions[J]. Anal Chem,2021,93(1):546-566. doi: 10.1021/acs.analchem.0c04363 |
| [7] | ABDEEN A A, LEE J M, KILIAN K A. Capturing extracellular matrix properties in vitro: Microengineering materials to decipher cell and tissue level processes[J]. Exp Biol Med (Maywood),2016,241(9):930-938. doi: 10.1177/1535370216644532 |
| [8] | VAN GORSEL M, ELIA I, FENDT S M. 13 C tracer analysis and metabolomics in 3D cultured cancer cells[J]. Methods Mol Biol,2019,1862:53-66. |
| [9] | CHEN Z Y, JIANG N, GUO S, et al. Effect of simulated microgravity on metabolism of HGC-27 gastric cancer cells[J]. Oncol Lett,2020,19(5):3439-3450. |
| [10] | 杨盛, 何然, 张飞燕, 等. 细胞共培养模型及其在中枢神经系统疾病研究中的应用[J]. 药学学报, 2016, 51(3):338-346. doi: 10.16438/j.0513-4870.2015-0583 |
| [11] | MATHON C, BOVARD D, DUTERTRE Q, et al. Impact of sample preparation upon intracellular metabolite measurements in 3D cell culture systems[J]. Metabolomics,2019,15(6):92. doi: 10.1007/s11306-019-1551-0 |
| [12] | WILKINS J, SAKRIKAR D, PETTERSON X M, et al. A comprehensive protocol for multiplatform metabolomics analysis in patient-derived skin fibroblasts[J]. Metabolomics,2019,15(6):83. doi: 10.1007/s11306-019-1544-z |
| [13] | SER Z, LIU X J, TANG N N, et al. Extraction parameters for metabolomics from cultured cells[J]. Anal Biochem,2015,475:22-28. doi: 10.1016/j.ab.2015.01.003 |
| [14] | BODZON-KULAKOWSKA A, CICHON T, GOLEC A, et al. DESI-MS as a tool for direct lipid analysis in cultured cells[J]. Cytotechnology,2015,67(6):1085-1091. doi: 10.1007/s10616-014-9734-z |
| [15] | SABORANO R, ERASLAN Z, ROBERTS J, et al. A framework for tracer-based metabolism in mammalian cells by NMR[J]. Sci Rep,2019,9(1):2520. doi: 10.1038/s41598-018-37525-3 |
| [16] | ARAÚJO A M, MOREIRA N, LIMA A R, et al. Analysis of extracellular metabolome by HS-SPME/GC-MS: Optimization and application in a pilot study to evaluate galactosamine-induced hepatotoxicity[J]. Toxicol Lett,2018,295:22-31. doi: 10.1016/j.toxlet.2018.05.028 |
| [17] | STOLL D R, HARMES D C, STAPLES G O, et al. Development of comprehensive online two-dimensional liquid chromatography/mass spectrometry using hydrophilic interaction and reversed-phase separations for rapid and deep profiling of therapeutic antibodies[J]. Anal Chem,2018,90(9):5923-5929. doi: 10.1021/acs.analchem.8b00776 |
| [18] | SUN Z Y, JI Q Q, EVANS A R, et al. High-throughput LC-MS quantitation of cell culture metabolites[J]. Biologicals,2019,61:44-51. doi: 10.1016/j.biologicals.2019.07.003 |
| [19] | PÖHÖ P, LIPPONEN K, BESPALOV M M, et al. Comparison of liquid chromatography-mass spectrometry and direct infusion microchip electrospray ionization mass spectrometry in global metabolomics of cell samples[J]. Eur J Pharm Sci,2019,138:104991. doi: 10.1016/j.ejps.2019.104991 |
| [20] | XU S, LIU M, BAI Y, et al. Multi-Dimensional Organic Mass Cytometry: Simultaneous Analysis of Proteins and Metabolites on Single Cells. Angew Chem Int Ed Engl. 2021, 60(4): 1806-1812. |
| [21] | LIU R M, YANG Z B. Single cell metabolomics using mass spectrometry: techniques and data analysis[J]. Anal Chim Acta,2021,1143:124-134. doi: 10.1016/j.aca.2020.11.020 |
| [22] | SHULAEV V. Metabolomics technology and bioinformatics[J]. Brief Bioinform,2006,7(2):128-139. doi: 10.1093/bib/bbl012 |
| [23] | MISRA B B. New software tools, databases, and resources in metabolomics: updates from 2020[J]. Metabolomics,2021,17(5):49. doi: 10.1007/s11306-021-01796-1 |
| [24] | ZHOU D, ZHU W J, SUN T, et al. iMAP: a web server for metabolomics data integrative analysis[J]. Front Chem,2021,9:659656. doi: 10.3389/fchem.2021.659656 |
| [25] | 孙海涛, 杨志强, 李葆红, 等. 基于LC/MS的代谢组学数据并行处理研究[J]. 质谱学报, 2015, 36(6):535-542. doi: 10.7538/zpxb.2015.36.06.0535 |
| [26] | 陈衬心, 张建永, 蒲家志. 细胞代谢组学及其在中药研究中的应用[J]. 遵义医学院学报, 2017, 40(5):583-586. doi: 10.3969/j.issn.1000-2715.2017.05.024 |
| [27] | 张悦, 徐占玲, 孙慧峰, 等. 柚皮苷对Aβ25-35诱导PC12细胞保护作用的代谢组学研究[J]. 中成药, 2021, 43(6):1641-1644. |
| [28] | ZHANG M Y, LIU Y, LIU M, et al. UHPLC-QTOF/MS-based metabolomics investigation for the protective mechanism of Danshen in Alzheimer's disease cell model induced by Aβ_1–42[J]. Metabolomics,2019,15(2):1-13. |
| [29] | 王辉, 蔡颖, 刘敏, 等. 基于UHPLC-QTOF/MS的细胞代谢组学对丹参和知母防治阿尔茨海默病的药效比较研究[J]. 药学学报, 2021, 56(9):2394-2402. |
| [30] | 杨银平, 律广富, 张乔, 等. 基于细胞代谢组学技术的人参皂苷Rb1对SH-SY5Y细胞保护机制研究[J]. 分析化学, 2019, 47(1):49-58. |
| [31] | MU P P, LIU Y T, JIANG S M, et al. Glial cell line-derived neurotrophic factor alters lipid composition and protein distribution in MPP+-injured differentiated SH-SY5Y cells[J]. J Cell Physiol,2020,235(12):9347-9360. doi: 10.1002/jcp.29738 |
| [32] | KATCHBORIAN-NETO A, SANTOS W T, NICÁCIO K J, et al. Neuroprotective potential of Ayahuasca and untargeted metabolomics analyses: applicability to Parkinson’s disease[J]. J Ethnopharmacol,2020,255:112743. doi: 10.1016/j.jep.2020.112743 |
| [33] | ZHANG Q X, GAO Y Y, ZHANG J H, et al. L-asparaginase exerts neuroprotective effects in an SH-SY5Y-A53T model of Parkinson's disease by regulating glutamine metabolism[J]. Front Mol Neurosci,2020,13:563054. doi: 10.3389/fnmol.2020.563054 |
| [34] | YIN C L, LU R G, ZHU J F, et al. The study of neuroprotective effect of ferulic acid based on cell metabolomics[J]. Eur J Pharmacol,2019,864:172694. doi: 10.1016/j.ejphar.2019.172694 |
| [35] | LI X, QIN X M, TIAN J S, et al. Liquiritin protects PC12 cells from corticosterone-induced neurotoxicity via regulation of metabolic disorders, attenuation ERK1/2-NF-κB pathway, activation Nrf2-Keap1 pathway, and inhibition mitochondrial apoptosis pathway[J]. Food Chem Toxicol,2020,146:111801. doi: 10.1016/j.fct.2020.111801 |
| [36] | JIA H M, LIU Y, YU M, et al. Neuroprotective effect of cyperi rhizome against corticosterone-induced PC12 cell injury via suppression of Ca2+ overloading[J]. Metabolites,2019,9(11):244. doi: 10.3390/metabo9110244 |
| [37] | FACCIO A T, RUPEREZ F J, SINGH N S, et al. Stereochemical and structural effects of (2R, 6R)-hydroxynorketamine on the mitochondrial metabolome in PC-12 cells[J]. Biochim Biophys Acta BBA Gen Subj,2018,1862(6):1505-1515. doi: 10.1016/j.bbagen.2018.03.008 |
| [38] | BAI S J, ZHOU C J, CHENG P F, et al. 1H NMR-based metabolic profiling reveals the effects of fluoxetine on lipid and amino acid metabolism in astrocytes[J]. Int J Mol Sci,2015,16(4):8490-8504. |
| [39] | SUN L, FANG L, LIAN B, et al. Biochemical effects of venlafaxine on astrocytes as revealed by 1 H NMR-based metabolic profiling[J]. Mol Biosyst,2017,13(2):338-349. doi: 10.1039/C6MB00651E |
| [40] | PARASKEVAIDI M, ALLSOP D, KARIM S, et al. Diagnostic biomarkers for Alzheimer's disease using non-invasive specimens[J]. J Clin Med,2020,9(6):1673. doi: 10.3390/jcm9061673 |
| [41] | 邓婷, 余志杰, 徐颖, 等. AD细胞模型的建立及评价方法研究进展[J]. 中国药理学通报, 2020, 36(4):470-475. |
| [42] | PANZA F, LOZUPONE M, LOGROSCINO G, et al. A critical appraisal of amyloid-β-targeting therapies for Alzheimer disease[J]. Nat Rev Neurol,2019,15(2):73-88. doi: 10.1038/s41582-018-0116-6 |
| [43] | XIONG X M, LI S J, HAN T L, et al. Study of mitophagy and ATP-related metabolomics based on β-amyloid levels in Alzheimer's disease[J]. Exp Cell Res,2020,396(1):112266. doi: 10.1016/j.yexcr.2020.112266 |
| [44] | WILLIAMS H C, FARMER B C, PIRON M A, et al. APOE alters glucose flux through central carbon pathways in astrocytes[J]. Neurobiol Dis,2020,136:104742. doi: 10.1016/j.nbd.2020.104742 |
| [45] | JOHNSON L A, TORRES E R, WEBER BOUTROS S, et al. Apolipoprotein E4 mediates insulin resistance-associated cerebrovascular dysfunction and the post-prandial response[J]. J Cereb Blood Flow Metab,2019,39(5):770-781. doi: 10.1177/0271678X17746186 |
| [46] | SOMMER A, WINNER B, PROTS I. The Trojan horse - neuroinflammatory impact of T cells in neurodegenerative diseases[J]. Mol Neurodegener,2017,12(1):78. doi: 10.1186/s13024-017-0222-8 |
| [47] | LEI S L, ZAVALA-FLORES L, GARCIA-GARCIA A, et al. Alterations in energy/redox metabolism induced by mitochondrial and environmental toxins: a specific role for glucose-6-phosphate-dehydrogenase and the pentose phosphate pathway in paraquat toxicity[J]. ACS Chem Biol,2014,9(9):2032-2048. doi: 10.1021/cb400894a |
| [48] | XICOY H, BROUWERS J F, KALNYTSKA O, et al. Lipid analysis of the 6-hydroxydopamine-treated SH-SY5Y cell model for Parkinson's disease[J]. Mol Neurobiol,2020,57(2):848-859. doi: 10.1007/s12035-019-01733-3 |
| [49] | CHAN R B, PEROTTE A J, ZHOU B W, et al. Elevated GM3 plasma concentration in idiopathic Parkinson’s disease: a lipidomic analysis[J]. PLoS One,2017,12(2):e0172348. doi: 10.1371/journal.pone.0172348 |
| [50] | WANG C J, YANG T T, LIANG M Y, et al. Astrocyte dysfunction in Parkinson's disease: from the perspectives of transmitted α-synuclein and genetic modulation[J]. Transl Neurodegener,2021,10(1):39. doi: 10.1186/s40035-021-00265-y |
| [51] | SONNINEN T M, HÄMÄLÄINEN R H, KOSKUVI M, et al. Metabolic alterations in Parkinson's disease astrocytes[J]. Sci Rep,2020,10(1):14474. doi: 10.1038/s41598-020-71329-8 |
| [52] | VIRANI S S, ALONSO A, APARICIO H J, et al. Heart disease and stroke statistics—2021 update[J]. Circulation,2021,143(8):e254-e743. |
| [53] | 韩晨阳, 张晓玲, 官俏兵, 等. 丁苯酞对于糖氧剥夺条件下人脑微血管内皮细胞能量代谢的影响及保护作用[J]. 中国临床药理学与治疗学, 2018, 23(12):1329-1334. |
| [54] | WANG Y J, GUAN X, GAO C L, et al. Medioresinol as a novel PGC-1α activator prevents pyroptosis of endothelial cells in ischemic stroke through PPARα-GOT1 axis[J]. Pharmacol Res,2021,169:105640. doi: 10.1016/j.phrs.2021.105640 |
| [55] | 王宇翔. 染料木黄酮对缺血缺氧PC12细胞生存状态及相关生理生化指标的影响[D]. 天津: 南开大学, 2015. |
| [56] | ZHANG H Y, ZHENG H, ZHAO G, et al. Metabolomic study of corticosterone-induced cytotoxicity in PC12 cells by ultra performance liquid chromatography-quadrupole/time-of-flight mass spectrometry[J]. Mol Biosyst,2016,12(3):902-913. doi: 10.1039/C5MB00642B |
| [57] | 何小燕, 陈建丽, 向欢, 等. 谷氨酸和皮质酮诱导的PC12抑郁症细胞模型差异性的~1H NMR代谢组学研究[J]. 药学学报, 2017, 52(2):245-252. |
| [58] | 付爽, 谢紫烨, 俞婵娟, 等. 血清诱导的肝郁脾虚证细胞模型的建立方法研究[J]. 中国中药杂志, 2018, 43(14):2999-3005. doi: 10.19540/j.cnki.cjcmm.20180327.008 |
| [59] | GONZÁLEZ-RIANO C, DUDZIK D, GARCIA A, et al. Recent developments along the analytical process for metabolomics workflows[J]. Anal Chem,2020,92(1):203-226. doi: 10.1021/acs.analchem.9b04553 |
| [60] | 徐佳, 刘其南, 翟园园, 等. 细胞代谢组学样品前处理研究进展[J]. 中国细胞生物学学报, 2018, 40(3):418-425. |