[1] BRINDLEY P J, BACHINI M, ILYAS S I, et al. Cholangiocarcinoma[J]. Nat Rev Dis Primers,2021,7(1):65-81. doi:  10.1038/s41572-021-00300-2
[2] BANALES J M, MARIN J J G, LAMARCA A, et al. Cholangiocarcinoma 2020: the next horizon in mechanisms and management[J]. Nat Rev Gastroenterol Hepatol,2020,17(9):557-588. doi:  10.1038/s41575-020-0310-z
[3] BANALES J M, CARDINALE V, CARPINO G, et al. Expert consensus document: Cholangiocarcinoma: current knowledge and future perspectives consensus statement from the European Network for the Study of Cholangiocarcinoma (ENS-CCA)[J]. Nat Rev Gastroenterol Hepatol,2016,13(5):261-280. doi:  10.1038/nrgastro.2016.51
[4] RAGGI C, TADDEI M L, RAE C, et al. Metabolic reprogramming in cholangiocarcinoma[J]. J Hepatol,2022,77(3):849-864. doi:  10.1016/j.jhep.2022.04.038
[5] MASSIRONI S, PILLA L, ELVEVI A, et al. New and emerging systemic therapeutic options for advanced cholangiocarcinoma[J]. Cells,2020,9(3):688-709. doi:  10.3390/cells9030688
[6] VALLEJO A, ERICE O, ENTRIALGO-CADIERNO R, et al. FOSL1 promotes cholangiocarcinoma via transcriptional effectors that could be therapeutically targeted[J]. J Hepatol,2021,75(2):363-376. doi:  10.1016/j.jhep.2021.03.028
[7] RIZVI S, KHAN S A, HALLEMEIER C L, et al. Cholangiocarcinoma - evolving concepts and therapeutic strategies[J]. Nat Rev Clin Oncol,2018,15(2):95-111. doi:  10.1038/nrclinonc.2017.157
[8] DIGGS L P, RUF B, MA C, et al. CD40-mediated immune cell activation enhances response to anti-PD-1 in murine intrahepatic cholangiocarcinoma[J]. J Hepatol,2021,74(5):1145-1154. doi:  10.1016/j.jhep.2020.11.037
[9] BERTUCCIO P, MALVEZZI M, CARIOLI G, et al. Global trends in mortality from intrahepatic and extrahepatic cholangiocarcinoma[J]. J Hepatol,2019,71(1):104-114. doi:  10.1016/j.jhep.2019.03.013
[10] JOO I, LEE J M, YOON J H. Imaging diagnosis of intrahepatic and perihilar cholangiocarcinoma: recent advances and challenges[J]. Radiology,2018,288(1):7-13. doi:  10.1148/radiol.2018171187
[11] MUNUGALA N, MAITHEL S K, SHROFF R T. Novel biomarkers and the future of targeted therapies in cholangiocarcinoma: a narrative review[J]. Hepatobiliary Surg Nutr,2022,11(2):253-266. doi:  10.21037/hbsn-20-475
[12] RODRIGUES P M, VOGEL A, ARRESE M, et al. Next-generation biomarkers for cholangiocarcinoma[J]. Cancers (Basel),2021,13(13):3222-3246. doi:  10.3390/cancers13133222
[13] CHO K, MAHIEU N G, JOHNSON S L, et al. After the feature presentation: technologies bridging untargeted metabolomics and biology[J]. Curr Opin Biotechnol,2014,28:143-148. doi:  10.1016/j.copbio.2014.04.006
[14] GAUGUIER D. Application of quantitative metabolomics in systems genetics in rodent models of complex phenotypes[J]. Arch Biochem Biophys,2016,589:158-167. doi:  10.1016/j.abb.2015.09.016
[15] CHUA E C, SHUI G H, LEE I T, et al. Extensive diversity in circadian regulation of plasma lipids and evidence for different circadian metabolic phenotypes in humans[J]. Proc Natl Acad Sci U S A,2013,110(35):14468-14473. doi:  10.1073/pnas.1222647110
[16] SUHRE K, SHIN S Y, PETERSEN A K, et al. Human metabolic individuality in biomedical and pharmaceutical research[J]. Nature,2011,477(7362):54-60. doi:  10.1038/nature10354
[17] 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
[18] BINO R J, HALL R D, FIEHN O, et al. Potential of metabolomics as a functional genomics tool[J]. Trends Plant Sci, 2004, 9（9）: 418-425.
[19] GUMA M, TIZIANI S, FIRESTEIN G S. Metabolomics in rheumatic diseases: desperately seeking biomarkers[J]. Nat Rev Rheumatol,2016,12(5):269-281. doi:  10.1038/nrrheum.2016.1
[20] GRIFFITHS W J, KOAL T, WANG Y Q, et al. Targeted metabolomics for biomarker discovery[J]. Angew Chem Int Ed Engl,2010,49(32):5426-5445. doi:  10.1002/anie.200905579
[21] DENERY J R, NUNES A A, DICKERSON T J. Characterization of differences between blood sample matrices in untargeted metabolomics[J]. Anal Chem,2011,83(3):1040-1047. doi:  10.1021/ac102806p
[22] DETTMER K, ARONOV P A, HAMMOCK B D. Mass spectrometry-based metabolomics[J]. Mass Spectrom Rev,2007,26(1):51-78. doi:  10.1002/mas.20108
[23] FIEHN O. Metabolomics: the link between genotypes and phenotypes[J]. Plant Mol Biol,2002,48(1-2):155-171.
[24] CLIMACO PINTO R, KARAMAN I, LEWIS M R, et al. Finding correspondence between metabolomic features in untargeted liquid chromatography-mass spectrometry metabolomics datasets[J]. Anal Chem,2022,94(14):5493-5503. doi:  10.1021/acs.analchem.1c03592
[25] KISELEVA O, KURBATOV I, ILGISONIS E, et al. Defining blood plasma and serum metabolome by GC-MS[J]. Metabolites,2021,12(1):15-45. doi:  10.3390/metabo12010015
[26] MARKLEY J L, BRÜSCHWEILER R, EDISON A S, et al. The future of NMR-based metabolomics[J]. Curr Opin Biotechnol,2017,43:34-40.
[27] JIN Q, MA R C W. Metabolomics in diabetes and diabetic complications: Insights from epidemiological studies[J]. Cells,2021,10(11):2832-2869.
[28] LINDON J C, NICHOLSON J K. Spectroscopic and statistical techniques for information recovery in metabonomics and metabolomics[J]. Annu Rev Anal Chem (Palo Alto Calif),2008,1:45-69. doi:  10.1146/annurev.anchem.1.031207.113026
[29] BOROUGHS L K, DEBERARDINIS R J. Metabolic pathways promoting cancer cell survival and growth[J]. Nat Cell Biol,2015,17(4):351-359. doi:  10.1038/ncb3124
[30] LIBERTI M V, LOCASALE J W. The Warburg effect: how does it benefit cancer cells?[J]. Trends Biochem Sci, 2016, 41（3）: 211-218.
[31] KOUNDOUROS N, POULOGIANNIS G. Reprogramming of fatty acid metabolism in cancer[J]. Br J Cancer,2020,122(1):4-22. doi:  10.1038/s41416-019-0650-z
[32] TSUN Z Y, POSSEMATO R. Amino acid management in cancer[J]. Semin Cell Dev Biol,2015,43:22-32. doi:  10.1016/j.semcdb.2015.08.002
[33] HASHIM ABDALLA M S, TAYLOR-ROBINSON S D, SHARIF A W, et al. Differences in phosphatidylcholine and bile acids in bile from Egyptian and UK patients with and without cholangiocarcinoma[J]. HPB,2011,13(6):385-390. doi:  10.1111/j.1477-2574.2011.00296.x
[34] SHARIF A W, WILLIAMS H R, LAMPEJO T, et al. Metabolic profiling of bile in cholangiocarcinoma using in vitro magnetic resonance spectroscopy[J]. HPB (Oxford),2010,12(6):396-402.
[35] MURAKAMI Y, KUBO S, TAMORI A, et al. Comprehensive analysis of transcriptome and metabolome analysis in Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma[J]. Sci Rep,2015,5:16294-16305. doi:  10.1038/srep16294
[36] PADTHAISONG S, PHETCHARABURANIN J, KLANRIT P, et al. Integration of global metabolomics and lipidomics approaches reveals the molecular mechanisms and the potential biomarkers for postoperative recurrence in early-stage cholangiocarcinoma[J]. Cancer Metab,2021,9(1):30-44.
[37] YI M, LI J J, CHEN S N, et al. Emerging role of lipid metabolism alterations in Cancer stem cells[J]. J Exp Clin Cancer Res,2018,37(1):118-135.
[38] LIANG Q, WANG C, LI B B, et al. Lipidomics analysis based on liquid chromatography mass spectrometry for hepatocellular carcinoma and intrahepatic cholangiocarcinoma[J]. RSC Adv,2015,5(78):63711-63718.
[39] WANG X X, LI J, ZHANG A H. Urine metabolic phenotypes analysis of extrahepatic cholangiocarcinoma disease using ultra-high performance liquid chromatography-mass spectrometry[J]. RSC Adv,2016,6(67):63049-63057. doi:  10.1039/C6RA09430A
[40] HAZNADAR M, DIEHL C M, PARKER A L, et al. Urinary metabolites diagnostic and prognostic of intrahepatic cholangiocarcinoma[J]. Cancer Epidemiol Biomarkers Prev,2019,28(10):1704-1711.
[41] BANALES J M, IÑARRAIRAEGUI M, ARBELAIZ A, et al. Serum metabolites as diagnostic biomarkers for cholangiocarcinoma, hepatocellular carcinoma, and primary sclerosing cholangitis[J]. Hepatology,2019,70(2):547-562. doi:  10.1002/hep.30319
[42] MACIAS R I R, MUÑOZ-BELLVÍS L, SÁNCHEZ-MARTÍN A, et al. A novel serum metabolomic profile for the differential diagnosis of distal cholangiocarcinoma and pancreatic ductal adenocarcinoma[J]. Cancers (Basel),2020,12(6):1433-1450. doi:  10.3390/cancers12061433
[43] KOTAWONG K, CHAIJAROENKUL W, ROYTRAKUL S, et al. Screening of molecular targets of action of atractylodin in cholangiocarcinoma by applying proteomic and metabolomic approaches[J]. Metabolites,2019,9(11):260-273. doi:  10.3390/metabo9110260
[44] GIUSTARINI D, GALVAGNI F, TESEI A, et al. Glutathione, glutathione disulfide, and S-glutathionylated proteins in cell cultures[J]. Free Radic Biol Med,2015,89:972-981. doi:  10.1016/j.freeradbiomed.2015.10.410
[45] ZHANG J, HANG C H, JIANG T, et al. Nuclear magnetic resonance-based metabolomic analysis of the anticancer effect of metformin treatment on cholangiocarcinoma cells[J]. Front Oncol,2020,10:570516-570528. doi:  10.3389/fonc.2020.570516
[46] BI L, REN Y D, FENG M X, et al. HDAC11 regulates glycolysis through the LKB1/AMPK signaling pathway to maintain hepatocellular carcinoma stemness[J]. Cancer Res,2021,81(8):2015-2028. doi:  10.1158/0008-5472.CAN-20-3044
[47] STEPHENNE X, FORETZ M, TALEUX N, et al. Metformin activates AMP-activated protein kinase in primary human hepatocytes by decreasing cellular energy status[J]. Diabetologia,2011,54(12):3101-3110. doi:  10.1007/s00125-011-2311-5
[48] CHEN X, LIU H S, SHEN L, et al. Untargeted UPLC-MS-based metabolomics analysis reveals the metabolic profile of intrahepatic cholangiocarcinoma process and the intervention effect of Osthole in mice[J]. Pharmacol Res Mod Chin Med,2022,3:100096-100113. doi:  10.1016/j.prmcm.2022.100096