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Metagenomic Sequencing of the Gallbladder Microbiome: Bacterial Diversity Does Not Vary by Surgical Pathology

  • Original Article
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Journal of Gastrointestinal Surgery

Abstract

Introduction

Alterations in the microbiome contribute to the pathogenesis of many gastrointestinal diseases. However, the composition of the microbiome in gallbladder disease is not well described.

Methods

We aimed to characterize the biliary microbiome in cholecystectomy patients. Bile and biliary stones were collected at cholecystectomy for a variety of surgical indications between 2017 and 2019. DNA was extracted and metagenomic sequencing was performed with subsequent taxonomic classification using Kraken2. The fraction of bacterial to total DNA reads, relative abundance of bacterial species, and overall species diversity were compared between pathologies and demographics.

Results

A total of 74 samples were obtained from 49 patients: 46 bile and 28 stones, with matched pairs from 25 patients. The mean age was 48 years, 76% were female, 29% were Hispanic, and 29% of patients had acute cholecystitis. The most abundant species were Klebsiella pneumoniae, Staphylococcus aureus, and Streptococcus pasteurianus. The bacterial fraction in bile and stone samples was higher in acute cholecystitis compared to other non-infectious pathologies (p < 0.05). Neither the diversity nor differential prevalence of specific bacterial species varied significantly between infectious and other non-infectious gallbladder pathologies. Multivariate analysis of the non-infectious group revealed that patients over 40 years of age had increased bacterial fractions (p < 0.05).

Conclusions

Metagenomic sequencing permits characterization of the gallbladder microbiome in cholecystectomy patients. Although a higher prevalence of bacteria was seen in acute cholecystitis, species and diversity were similar regardless of surgical indication. Additional study is required to determine how the microbiome can contribute to the development of symptomatic gallbladder disease.

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References

  1. Konturek PC, Koziel J, Dieterich W, Haziri D, Wirtz S, Glowczyk I et al. Successful therapy of Clostridium difficile infection with fecal microbiota transplantation. J Physiol Pharmacol. 2016;67(6):859-66.

    PubMed  Google Scholar 

  2. Sokol H, Seksik P, Rigottier-Gois L, Lay C, Lepage P, Podglajen I et al. Specificities of the fecal microbiota in inflammatory bowel disease. Inflamm Bowel Dis. 2006;12(2):106-11. https://doi.org/10.1097/01.MIB.0000200323.38139.c6.

    Article  PubMed  Google Scholar 

  3. Bercik P, Denou E, Collins J, Jackson W, Lu J, Jury J et al. The intestinal microbiota affect central levels of brain-derived neurotropic factor and behavior in mice. Gastroenterology. 2011;141(2):599-609, .e1-3. https://doi.org/10.1053/j.gastro.2011.04.052.

    Article  PubMed  Google Scholar 

  4. Broido PW, Gorbach SL, Condon RE, Nyhus LM. Upper intestinal microfloral control. Effects of gastric acid and vagal denervation on bacterial concentrations. Arch Surg. 1973;106(1):90-3. https://doi.org/10.1001/archsurg.1973.01350130088020.

    Article  PubMed  Google Scholar 

  5. Russo MW, Wei JT, Thiny MT, Gangarosa LM, Brown A, Ringel Y et al. Digestive and liver diseases statistics, 2004. Gastroenterology. 2004;126(5):1448-53. https://doi.org/10.1053/j.gastro.2004.01.025.

    Article  PubMed  Google Scholar 

  6. Portincasa P, Moschetta A, Palasciano G. Cholesterol gallstone disease. Lancet. 2006;368(9531):230-9. https://doi.org/10.1016/s0140-6736(06)69044-2.

    Article  PubMed  Google Scholar 

  7. Maki T. Pathogenesis of calcium bilirubinate gallstone: role of E. coli, beta-glucuronidase and coagulation by inorganic ions, polyelectrolytes and agitation. Annals of surgery. 1966;164(1):90–100. https://doi.org/10.1097/00000658-196607000-00010.

  8. Cetta FM. Bile infection documented as initial event in the pathogenesis of brown pigment biliary stones. Hepatology. 1986;6(3):482-9. https://doi.org/10.1002/hep.1840060327.

    Article  PubMed  Google Scholar 

  9. Trotman BW. Pigment gallstone disease. Gastroenterol Clin North Am. 1991;20(1):111-26.

    Article  PubMed  Google Scholar 

  10. Ikeda T, Yanaga K, Kusne S, Fung J, Higashi H, Starzl TE. Sterility of bile in multiple-organ donors. Transplantation. 1990;49(3):653-. https://doi.org/10.1097/00007890-199003000-00036.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Begley M, Gahan CG, Hill C. The interaction between bacteria and bile. FEMS Microbiol Rev. 2005;29(4):625-51. https://doi.org/10.1016/j.femsre.2004.09.003.

    Article  PubMed  Google Scholar 

  12. Molinero N, Ruiz L, Milani C, Gutiérrez-Díaz I, Sánchez B, Mangifesta M et al. The human gallbladder microbiome is related to the physiological state and the biliary metabolic profile. Microbiome. 2019;7(1):100. https://doi.org/10.1186/s40168-019-0712-8.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Maurer KR, Everhart JE, Ezzati TM, Johannes RS, Knowler WC, Larson DL et al. Prevalence of gallstone disease in Hispanic populations in the United States. Gastroenterology. 1989;96(2 Pt 1):487-92. https://doi.org/10.1016/0016-5085(89)91575-8.

    Article  PubMed  Google Scholar 

  14. KneadData. https://huttenhower.sph.harvard.edu/kneaddata/.

  15. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics (Oxford, England). 2014;30(15):2114-20. https://doi.org/10.1093/bioinformatics/btu170.

    Article  PubMed Central  Google Scholar 

  16. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nature Methods. 2012;9(4):357-9. https://doi.org/10.1038/nmeth.1923.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wood DE, Lu J, Langmead B. Improved metagenomic analysis with Kraken 2. Genome Biology. 2019;20(1):257. https://doi.org/10.1186/s13059-019-1891-0.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Lu J BF, Thielen P, Salzberg SL. Bracken: estimating species abundance in metagenomics data. PeerJ Computer Science. 2017;3:e104. https://doi.org/10.7717/peerj-cs.104.

    Article  Google Scholar 

  19. Shen W, Ren H. TaxonKit: A practical and efficient NCBI taxonomy toolkit. Journal of Genetics and Genomics. 2021;48(9):844-50. https://doi.org/10.1016/j.jgg.2021.03.006.

    Article  PubMed  Google Scholar 

  20. 16S Illumina Amplicon Protocol. https://earthmicrobiome.org/protocols-and-standards/16s/.

  21. Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics. 2010;26(19):2460-1. https://doi.org/10.1093/bioinformatics/btq461.

    Article  PubMed  Google Scholar 

  22. Edgar RC. SINTAX: a simple non-Bayesian taxonomy classifier for 16S and ITS sequences. bioRxiv. 2016:074161. https://doi.org/10.1101/074161.

  23. Cole JR, Wang Q, Fish JA, Chai B, McGarrell DM, Sun Y et al. Ribosomal Database Project: data and tools for high throughput rRNA analysis. Nucleic Acids Res. 2014;42(Database issue):D633-42. https://doi.org/10.1093/nar/gkt1244.

    Article  PubMed  Google Scholar 

  24. McMurdie PJ, Holmes S. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One. 2013;8(4):e61217. https://doi.org/10.1371/journal.pone.0061217.

    Article  PubMed  PubMed Central  Google Scholar 

  25. R Development Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2019.

  26. Chung CS, Chang PF, Liao CH, Lee TH, Chen Y, Lee YC et al. Differences of microbiota in small bowel and faeces between irritable bowel syndrome patients and healthy subjects. Scand J Gastroenterol. 2016;51(4):410-9. https://doi.org/10.3109/00365521.2015.1116107.

    Article  PubMed  Google Scholar 

  27. Dlugosz A, Winckler B, Lundin E, Zakikhany K, Sandström G, Ye W et al. No difference in small bowel microbiota between patients with irritable bowel syndrome and healthy controls. Scientific Reports. 2015;5(1):8508. https://doi.org/10.1038/srep08508.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Jovel J, Patterson J, Wang W, Hotte N, O’Keefe S, Mitchel T et al. Characterization of the Gut Microbiome Using 16S or Shotgun Metagenomics. Front Microbiol. 2016;7:459-. https://doi.org/10.3389/fmicb.2016.00459.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Brumfield KD, Huq A, Colwell RR, Olds JL, Leddy MB. Microbial resolution of whole genome shotgun and 16S amplicon metagenomic sequencing using publicly available NEON data. PLoS One. 2020;15(2):e0228899. https://doi.org/10.1371/journal.pone.0228899.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Choi SJ, Kim Y, Jeon J, Gwak HJ, Kim M, Kang K et al. Association of Microbial Dysbiosis with Gallbladder Diseases Identified by Bile Microbiome Profiling. J Korean Med Sci. 2021;36(28):e189. https://doi.org/10.3346/jkms.2021.36.e189.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Shen H, Ye F, Xie L, Yang J, Li Z, Xu P et al. Metagenomic sequencing of bile from gallstone patients to identify different microbial community patterns and novel biliary bacteria. Sci Rep. 2015;5:17450. https://doi.org/10.1038/srep17450.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Natsui M, Honma T, Genda T, Nakadaira H. Effects of endoscopic papillary balloon dilation and endoscopic sphincterotomy on bacterial contamination of the biliary tract. Eur J Gastroenterol Hepatol. 2011;23(9):818-24. https://doi.org/10.1097/MEG.0b013e328348c0bf.

    Article  PubMed  Google Scholar 

  33. Wu T, Zhang Z, Liu B, Hou D, Liang Y, Zhang J et al. Gut microbiota dysbiosis and bacterial community assembly associated with cholesterol gallstones in large-scale study. BMC Genomics. 2013;14:669. https://doi.org/10.1186/1471-2164-14-669.

    Article  PubMed  PubMed Central  Google Scholar 

  34. de Martel C, Plummer M, Parsonnet J, van Doorn LJ, Franceschi S. Helicobacter species in cancers of the gallbladder and extrahepatic biliary tract. Br J Cancer. 2009;100(1):194-9. https://doi.org/10.1038/sj.bjc.6604780.

    Article  PubMed  Google Scholar 

  35. Barbara L, Sama C, Labate AMM, Taroni F, Rusticali AG, Festi D et al. A population study on the prevalence of gallstone disease: The sirmione study. Hepatology. 1987;7(5):913-7. https://doi.org/10.1002/hep.1840070520.

    Article  PubMed  Google Scholar 

  36. Friedman GD, Kannel WB, Dawber TR. The epidemiology of gallbladder disease: observations in the Framingham Study. Journal of chronic diseases. 1966;19(3):273-92.

    Article  PubMed  Google Scholar 

  37. Einarsson K, Nilsell K, Leijd B, Angelin B. Influence of age on secretion of cholesterol and synthesis of bile acids by the liver. New England Journal of Medicine. 1985;313(5):277-82.

    Article  PubMed  Google Scholar 

  38. Sampliner RE, Bennett PH, Comess LJ, Rose FA, Burch TA. Gallbladder disease in Pima Indians: demonstration of high prevalence and early onset by cholecystography. New England Journal of Medicine. 1970;283(25):1358-64.

    Article  PubMed  Google Scholar 

  39. Maurer KR, Everhart JE, Knowler WC, Shawker TH, Roth HP. Risk factors for gallstone disease in the Hispanic populations of the United States. Am J Epidemiol. 1990;131(5):836-44. https://doi.org/10.1093/oxfordjournals.aje.a115574.

    Article  PubMed  Google Scholar 

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Correspondence to Caitlin E. Egan.

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This abstract was presented virtually at the Scientific Forum of the American College of Surgeons’ Clinical Congress October 2020.

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Limberg, J., Egan, C.E., Mora, H.A. et al. Metagenomic Sequencing of the Gallbladder Microbiome: Bacterial Diversity Does Not Vary by Surgical Pathology. J Gastrointest Surg 26, 2282–2291 (2022). https://doi.org/10.1007/s11605-022-05418-6

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