Changes in intestinal flora in patients with extrahepatic cholangiocarcinoma
-
摘要:
目的 研究肝外胆管癌(ECC)患者肠道菌群变化及影响因素。 方法 收集2020年1月—2020年12月于郑州大学第一附属医院肝胆胰外科住院治疗的16例ECC患者(ECC组)的粪便样本,采用菌群16S rRNA绝对定量测序,与胆总管结石患者(CBDS组)(20例)及健康对照(Normal组)(10例)进行比较,分析3组肠道菌群差异及与临床指标的相关性。符合正态分布且满足方差齐性的2组间比较采用t检验,3组之间比较采用单因素方差分析;非正态分布3组之间比较采用Kruskal-Wallis H秩和检验,组间比较采用Nemenyi检验。计数资料组间比较采用χ2检验或Fisher确切概率法,相关性检验采用Spearman相关性分析。 结果 ECC组TBil和DBil明显高于CBDS组和Normal组(P值均<0.05)。多样性分析显示Observed species、Chao1指数、Shannon指数在3组之间差异无统计学意义(P值均>0.05);而Shannon指数和Simpson指数在3组之间差异有统计学意义,ECC组物种多样性与Normal组相似,但高于CBDS组(P<0.05),CBDS组高于Normal组(P<0.05)。多样性分析显示ECC组菌群结构明显不同于Normal组和CBDS组(P<0.05)。菌群组成差异性分析表明,Prevotella、Lactobacillus、Megasphaera、Sutterella在ECC组中明显富集。相关分析显示,Prevotella与抗生素、抑酸药和保肝药的使用呈负相关,Lactobacillus、Megasphaera、Sutterella与TBil和DBil呈正相关。 结论 ECC组患者肠道菌群发生了明显改变,且菌群改变与ECC患者肝功能和药物的使用密切相关。 Abstract:Objective To investigate the changes in intestinal flora in patients with extrahepatic cholangiocarcinoma (ECC) and related influencing factors. Methods Fecal samples were collected from 16 patients with ECC who were hospitalized and treated in Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, from January to December 2020, and absolute quantitative bacterial 16S rRNA was used for sequencing. A comparison was made with 20 patients with common bile duct stones (CBDS group) and 10 healthy controls (normal group), and the three groups were compared in terms of the differences in intestinal flora and the association with clinical indices. A one-way analysis of variance was used for comparison of normally distributed data with homogeneity of variance between the three groups, the t-test was used for comparison between two groups; the Kruskal-Wallis H test was used for comparison of non-normally distributed data between the three groups, and the Nemenyi test was used for comparison between groups. The chi-square test or the Fisher's exact test were used for comparison of categorical data between the three groups, and a Spearman correlation analysis was used to investigate correlation. Results The ECC group had significantly higher levels of total bilirubin (TBil) and direct bilirubin (DBil) than the CBDS group and the normal group. The α diversity analysis showed that there were no significant differences in observed species, Chao1 Index, and Shannon Index between the three groups (all P > 0.05), while there were significant differences in Shannon Index and Simpson Index between the three groups. The ECC group had a similar species diversity to the normal group and a significantly greater species diversity than the CBDS group (P < 0.05), and the CBDS group had a significantly greater species diversity than the normal group (P < 0.05). The β diversity analysis showed that the structure of intestinal flora in the ECC group was significantly different from that in the normal group and the CBDS group (P < 0.05). The analysis of the difference in bacterial composition showed that Prevotella, Lactobacillus, Megasphaera, and Sutterella were significantly enriched in the ECC group. The correlation analysis showed that Prevotella was negatively correlated with the use of antibiotics, acid inhibitors, and liver-protecting drugs, and Lactobacillus, Megasphaera, and Sutterella were positively correlated with TBil and DBil. Conclusion There is a significant change in intestinal flora in patients with ECC, which is closely associated with liver function and the use of drugs. -
表 1 3组一般资料比较
项目 ECC组(n=16) CBDS组(n=20) Normal组(n=10) 统计值 P值 男/女(例) 7/9 7/13 5/5 χ2=0.679 0.891 年龄(岁) 61.38±10.69 60.25±16.07 53.20±11.55 F=1.257 0.295 TBil(mol/L) 176.59(63.56~324.11) 29.24(14.74~113.73)1) 14.10(12.23~15.78)1) χ2=22.471 <0.001 DBil(mol/L) 150.16(55.11~278.45) 20.79(10.40~101.64)1) 6.96(6.18~8.35)1) χ2=24.575 <0.001 ALP(U/L) 268.65(200.25~437.00) 155.00(67.75~319.00)1) 77.50(68.25~89.00)1) χ2=18.447 <0.001 GGT(U/L) 379.00(226.50~774.75) 188.5(83.00~411.5)1) 33.00(21.00~39.50)1) χ2=23.311 <0.001 ALT(U/L) 80.50(48.25~102.98) 59.00(39.53~123.75) 21.50(18.75~29.00)1) χ2=17.767 <0.001 AST(U/L) 67.00(41.50~100.75) 46.00(27.25~85.00) 23.00(18.25~29.25)1) χ2=15.188 0.001 使用抑酸药天数(d) 13.00±10.67 16.54±8.25 t=0.290 0.885 使用保肝药天数(d) 12.00±5.38 6.60±9.11 t=0.843 0.724 使用抗生素天数(d) 12.33±18.06 14.77±2.34 t=0.621 0.967 PTCD治疗(例) 2 0 0.190 注: 与ECC组比较, 1)P<0.05。 表 2 3组间菌群多样性的比较
指数 ECC组(n=16) CBDS组(n=20) Normal组(n=10) F值 P值 Observed species 243±51 211±87 240±68 0.420 0.403 Chao1 244.43±51.59 213.24±88.55 240.98±67.62 0.420 0.421 Shannon 3.50±0.441) 2.48±0.99 3.37±0.381) 0.007 0.002 ACE 244.69±51.78 213.53±88.37 241.39±67.65 0.420 0.407 Simpson 0.072±0.0411) 0.259±0.210 0.091±0.1761) 0.002 <0.001 注: 与CBDS组比较,1)P<0.05。 -
[1] RIZVI S, KHAN SA, HALLEMEIER CL, et al. Cholangiocarcinoma-evolving concepts and therapeutic strategies[J]. Nat Rev Clin Oncol, 2018, 15(2): 95-111. DOI: 10.1038/nrclinonc.2017.157. [2] TYSON GL, EL-SERAG HB. Risk factors for cholangiocarcinoma[J]. Hepatology, 2011, 54(1): 173-184. DOI: 10.1002/hep.24351. [3] BIEDERMANN L, ROGLER G. The intestinal microbiota: Its role in health and disease[J]. Eur J Pediatr, 2015, 174(2): 151-167. DOI: 10.1007/s00431-014-2476-2. [4] AKSHINTALA VS, TALUKDAR R, SINGH VK, et al. The gut microbiome in pancreatic disease[J]. Clin Gastroenterol Hepatol, 2019, 17(2): 290-295. DOI: 10.1016/j.cgh.2018.08.045. [5] BIEDERMANN L, ROGLER G. The intestinal microbiota: Its role in health and disease[J]. Eur J Pediatr, 2015, 174(2): 151-167. DOI: 10.1007/s00431-014-2476-2. [6] HAN ML, GONG ZH. The mechanism of intestinal flora in hepatobiliary diseases[J]. J Clin Hepatol, 2017, 33(2): 384-388. DOI: 10.3969/j.issn.1001-5256.2017.02.040.韩美林, 龚振华. 肠道菌群在肝胆疾病中的作用机制[J]. 临床肝胆病杂志, 2017, 33(2): 384-388. DOI: 10.3969/j.issn.1001-5256.2017.02.040. [7] BENSON AB, D'ANGELICA MI, ABBOTT DE, et al. Hepatobiliary cancers, version 1.2020, NCCN clinical practice guidelines in oncology[J]. J Natl Compr Canc Netw, 2020, 10(5): 541-565. DOI: 10.6004/jnccn.2020.0036. [8] WILLIAMS E, BECKINGHAM I, EL SAYED G, et al. Updated guideline on the management of common bile duct stones (CBDS)[J]. Gut, 2017, 66(5): 765-782. DOI: 10.1136/gutjnl-2016-312317. [9] DOHERTY B, NAMBUDIRI VE, PALMER WC. Update on the diagnosis and treatment of cholangiocarcinoma[J]. Curr Gastroenterol Rep, 2017, 19(1): 2. DOI: 10.1007/s11894-017-0542-4. [10] JANG JY, KIM SW, PARK DJ, et al. Actual long-term outcome of extrahepatic bile duct cancer after surgical resection[J]. Ann Surg, 2005, 241(1): 77-84. DOI: 10.1097/01.sla.0000150166.94732.88. [11] LEE H, LEE HK, MIN SK, et al. 16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer[J]. World J Surg Oncol, 2020, 18(1): 19. DOI: 10.1186/s12957-020-1793-3. [12] CHEN B, FU SW, LU L, et al. A Preliminary study of biliary microbiota in patients with bile duct stones or distal cholangiocarcinoma[J]. Biomed Res Int, 2019, 2019: 1092563. DOI: 10.1155/2019/1092563. [13] AVILÉS-JIMÉNEZ F, GUITRON A, SEGURA-LÓPEZ F, et al. Microbiota studies in the bile duct strongly suggest a role for Helicobacter pylori in extrahepatic cholangiocarcinoma[J]. Clin Microbiol Infect, 2016, 22(2): 178.e11-e22. DOI: 10.1016/j.cmi.2015.10.008. [14] WANG Q, HAO C, YAO W, et al. Intestinal flora imbalance affects bile acid metabolism and is associated with gallstone formation[J]. BMC Gastroenterol, 2020, 20(1): 59. DOI: 10.1186/s12876-020-01195-1. [15] WANG P, WANG Y, LU L, et al. Alterations in intestinal microbiota relate to intestinal failure-associated liver disease and central line infections[J]. J Pediatr Surg, 2017, 52(8): 1318-1326. DOI: 10.1016/j.jpedsurg.2017.04.020. [16] HⅡPPALA K, KAINULAINEN V, KALLIOMÄKI M, et al. Mucosal prevalence and interactions with the epithelium indicate commensalism of sutterella spp[J]. Front Microbiol, 2016, 7: 1706. DOI: 10.3389/fmicb.2016.01706. [17] KAAKOUSH NO. Sutterella species, iga-degrading bacteria in ulcerative colitis[J]. Trends Microbiol, 2020, 28(7): 519-522. DOI: 10.1016/j.tim.2020.02.018. [18] WEXLER HM. Bacteroides: The good, the bad, and the nitty-gritty[J]. Clin Microbiol Rev, 2007, 20(4): 593-621. DOI: 10.1128/CMR.00008-07. [19] GIBⅡNO G, LOPETUSO LR, SCALDAFERRI F, et al. Exploring bacteroidetes: Metabolic key points and immunological tricks of our gut commensals[J]. Dig Liver Dis, 2018, 50(7): 635-639. DOI: 10.1016/j.dld.2018.03.016. [20] YANG PJ, HUANG W, LIU HB. The correlation between IL-17 and liver disease[J]. J Clin Hepatol, 2017, 33(9): 1810-1814. DOI: 10.3969/j.issn.1001-5256.2017.09.041.杨浦娟, 黄祎, 刘华宝. IL-17与肝脏疾病的相关性[J]. 临床肝胆病杂志, 2017, 33(9): 1810-1814. DOI: 10.3969/j.issn.1001-5256.2017.09.041. [21] BELLONE M, BREVI A, HUBER S. Microbiota-propelled T helper 17 cells in inflammatory diseases and cancer[J]. Microbiol Mol Biol Rev, 2020, 84(2): e00064-19. DOI: 10.1128/MMBR.00064-19. [22] VICH VILA A, COLLIJ V, SANNA S, et al. Impact of commonly used drugs on the composition and metabolic function of the gut microbiota[J]. Nat Commun, 2020, 11(1): 362. DOI: 10.1038/s41467-019-14177-z. [23] ZOU ZH, LIU D, LI HD, et al. Prenatal and postnatal antibiotic exposure influences the gut microbiota of preterm infants in neonatal intensive care units[J]. Ann Clin Microbiol Antimicrob, 2018, 17(1): 9. DOI: 10.1186/s12941-018-0264-y. [24] PLETZ MW, RAU M, BULITTA J, et al. Ertapenem pharmacokinetics and impact on intestinal microflora, in comparison to those of ceftriaxone, after multiple dosing in male and female volunteers[J]. Antimicrob Agents Chemother, 2004, 48(10): 3765-3772. DOI: 10.1128/AAC.48.10.3765-3772.2004. [25] ZENG H, LARSON KJ, CHENG WH, et al. Advanced liver steatosis accompanies an increase in hepatic inflammation, colonic, secondary bile acids and Lactobacillaceae/Lachnospiraceae bacteria in C57BL/6 mice fed a high-fat diet[J]. J Nutr Biochem, 2020, 78: 108336. DOI: 10.1016/j.jnutbio.2019.108336. [26] LONG Z, KONG D. Research progress on pathogenic factors of extrahepatic cholangiocarcinoma[J]. Jiangxi Trad Chin Med, 2017, 48(8): 72-75. https://www.cnki.com.cn/Article/CJFDTOTAL-JXZY201708028.htm龙祯, 孔棣. 肝外胆管癌致病因素的研究进展[J]. 江西中医药, 2017, 48(8): 72-75. https://www.cnki.com.cn/Article/CJFDTOTAL-JXZY201708028.htm [27] OHTANI N, KAWADA N. Role of the gut-liver axis in liver inflammation, fibrosis, and cancer: A special focus on the gut microbiota relationship[J]. Hepatol Commun, 2019, 3(4): 456-470. DOI: 10.1002/hep4.1331. [28] SHETTY SA, MARATHE NP, LANJEKAR V, et al. Comparative genome analysis of Megasphaera sp. reveals niche specialization and its potential role in the human gut[J]. PLoS One, 2013, 8(11): e79353. DOI: 10.1371/journal.pone.0079353. [29] AUDIRAC-CHALIFOUR A, TORRES-POVEDA K, BAHENA-ROMÁN M, et al. Cervical microbiome and cytokine profile at various stages of cervical cancer: A pilot study[J]. PLoS One, 2016, 11(4): e0153274. DOI: 10.1371/journal.pone.0153274. [30] GOPINATH D, KUNNATH MENON R, CHUN WIE C, et al. Salivary bacterial shifts in oral leukoplakia resemble the dysbiotic oral cancer bacteriome[J]. J Oral Microbiol, 2020, 13(1): 1857998. DOI: 10.1080/20002297.2020.1857998. [31] CORTEZ RV, MOREIRA LN, PADILHA M, et al. Gut microbiome of children and adolescents with primary sclerosing cholangitis in association with ulcerative colitis[J]. Front Immunol, 2020, 11: 598152. DOI: 10.3389/fimmu.2020.598152. [32] WU J, ZHANG C, XU S, et al. Fecal microbiome alteration may be a potential marker for gastric cancer[J]. Dis Markers, 2020, 2020: 3461315. DOI: 10.1155/2020/3461315.