Metagenomic Analysis Reveals Dynamic Changes of Whole Gut Microbiota in the Acute Phase of Intensive Care Unit Patients

Masahiro Ojima, Daisuke Motooka, Kentaro Shimizu, Kazuyoshi Gotoh, Ayumi Shintani, Kazuhisa Yoshiya, Shota Nakamura, Hiroshi Ogura, Tetsuya Iida, Takeshi Shimazu, Masahiro Ojima, Daisuke Motooka, Kentaro Shimizu, Kazuyoshi Gotoh, Ayumi Shintani, Kazuhisa Yoshiya, Shota Nakamura, Hiroshi Ogura, Tetsuya Iida, Takeshi Shimazu

Abstract

Background: Metagenomic analysis targeting the 16S rRNA gene has made it possible to characterize the vast array of microorganisms contained in the gut.

Aim: The purpose of this study was to evaluate how gut microbiota change in intensive care unit (ICU) patients in the acute phase after admission.

Methods: This prospective observational cohort study investigated 12 patients admitted to a single ICU of a large urban tertiary referral hospital. All patients were mechanically ventilated on admission. Fecal samples were collected from patients on days 1-2, 2-4, 5-8, and 7-10 after admission. DNA was extracted from fecal samples, and 16S rRNA deep sequencing was performed to monitor gut changes.

Results: Bacteria belonging to the phyla Firmicutes or Bacteroidetes were predominant in each sample. We observed serial dynamic changes in the percentages of Bacteroidetes and Firmicutes that were significantly altered during study period (p < 0.05). A ratio of Bacteroidetes to Firmicutes (B/F ratio) of >10 was seen in four of the six patients who died, whereas a B/F ratio of <0.10 was seen in only one of the six deaths. None of the survivors had a B/F ratio of >10 or <0.10. There was a statistical difference in the B/F ratio between the dead patients and survivors (p = 0.022).

Conclusions: Dynamic changes in gut microbiota at the phylum level of ICU patients during the acute phase were identified by high-throughput DNA sequencing. An extreme imbalance in gut microbiota may be associated with prognosis in critically ill patients.

Keywords: Bacteroidetes; DNA sequencing; Intensive care; Metagenome; Metagenomics; Microbiota; RNA, Ribosomal, 16S; Sepsis.

Figures

Fig. 1
Fig. 1
Taxonomic composition of the gut microbiota at the phylum level as determined by metagenomic analysis. Color coding: blue = Bacteroidetes, red = Firmicutes, green = Proteobacteria, orange = Actinobacteria, yellow = Fusobacteria, gray = others. Hospital day of death is indicated by black circles on the time line
Fig. 2
Fig. 2
Serial changes of the major five phyla in the patient group and control group. The serial compositions of Bacteroidetes and Firmicutes changed significantly more in the critically ill patients than in the control group (p = 0.014, 0.018, respectively). The serial compositions of Proteobacteria, Actinobacteria, and Fusobacteria were not statistically different
Fig. 3
Fig. 3
Serial changes in the ratio of Bacteroidetes to Firmicutes (B/F ratio) in the patient group and control group. A B/F ratio of >10 was seen in four of the six patients who died (black circles), whereas a B/F ratio of <0.10 was seen in only one of the six patient deaths. None of the survivors (triangles) had a B/F ratio >10 or >0.10 during the study period. There was a statistical difference in the B/F ratio between the dead patients and the survivors (p = 0.022)

References

    1. Ley RE, Peterson DA, Gordon JI. Ecological and evolutionary forces shaping microbial diversity in the human intestine. Cell. 2006;124:837–848. doi: 10.1016/j.cell.2006.02.017.
    1. Qin J, Li R, Raes J, et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature. 2010;464:59–65. doi: 10.1038/nature08821.
    1. Whitman WB, Coleman DC, Wiebe WJ. Prokaryotes: the unseen majority. Proc Natl Acad Sci USA. 1998;95:6578–6583. doi: 10.1073/pnas.95.12.6578.
    1. Quigley EM. Gut bacteria in health and disease. Gastroenterol Hepatol (NY) 2013;9:560–569.
    1. Kosiewicz MM, Zirnheld AL, Alard P. Gut microbiota, immunity, and disease: a complex relationship. Front Microbiol. 2011;2:180. doi: 10.3389/fmicb.2011.00180.
    1. Compare D, Coccoli P, Rocco A, et al. Gut–liver axis: the impact of gut microbiota on nonalcoholic fatty liver disease. Nutr Metab Cardiovasc Dis. 2012;22:471–476. doi: 10.1016/j.numecd.2012.02.007.
    1. Festi D, Schiumerini R, Birtolo C, et al. Gut microbiota and its pathophysiology in disease paradigms. Dig Dis. 2011;29:518–524. doi: 10.1159/000332975.
    1. Shimizu K, Ogura H, Hamasaki T, et al. Altered gut flora are associated with septic complications and death in critically ill patients with systemic inflammatory response syndrome. Dig Dis Sci. 2011;56:1171–1177. doi: 10.1007/s10620-010-1418-8.
    1. Feria-Gervasio D, Denis S, Alric M, Brugere JF. In vitro maintenance of a human proximal colon microbiota using the continuous fermentation system P-ECSIM. Appl Microbiol Biotechnol. 2011;91:1425–1433. doi: 10.1007/s00253-011-3462-5.
    1. Shimizu K, Ogura H, Goto M, et al. Altered gut flora and environment in patients with severe SIRS. J Trauma. 2006;60:126–133. doi: 10.1097/01.ta.0000197374.99755.fe.
    1. Arumugam M, Raes J, Pelletier E, et al. Enterotypes of the human gut microbiome. Nature. 2011;473:174–180. doi: 10.1038/nature09944.
    1. Tringe SG, Rubin EM. Metagenomics: DNA sequencing of environmental samples. Nat Rev Genet. 2005;6:805–814. doi: 10.1038/nrg1709.
    1. Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010;7:335–336. doi: 10.1038/nmeth.f.303.
    1. MacFie J, O’Boyle C, Mitchell CJ, Buckley PM, Johnstone D, Sudworth P. Gut origin of sepsis: a prospective study investigating associations between bacterial translocation, gastric microflora, and septic morbidity. Gut. 1999;45:223–228. doi: 10.1136/gut.45.2.223.
    1. Clark JA, Coopersmith CM. Intestinal crosstalk: a new paradigm for understanding the gut as the “motor” of critical illness. Shock. 2007;28:384–393. doi: 10.1097/shk.0b013e31805569df.
    1. Iapichino G, Callegari ML, Marzorati S, et al. Impact of antibiotics on the gut microbiota of critically ill patients. J Med Microbiol. 2008;57:1007–1014. doi: 10.1099/jmm.0.47387-0.
    1. Rhee SH, Pothoulakis C, Mayer EA. Principles and clinical implications of the brain-gut-enteric microbiota axis. Nat Rev Gastroenterol Hepatol. 2009;6:306–314. doi: 10.1038/nrgastro.2009.35.
    1. Schneider SM, Le Gall P, Girard-Pipau F, et al. Total artificial nutrition is associated with major changes in the fecal flora. Eur J Nutr. 2000;39:248–255. doi: 10.1007/s003940070003.
    1. Zaborin A, Smith D, Garfield K, et al. Membership and behavior of ultra-low-diversity pathogen communities present in the gut of humans during prolonged critical illness. mBio. 2014;5:e01314–e01361. doi: 10.1128/mBio.01361-14.
    1. Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444:1027–1031. doi: 10.1038/nature05414.
    1. Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: human gut microbes associated with obesity. Nature. 2006;444:1022–1023. doi: 10.1038/4441022a.
    1. Bervoets L, Van Hoorenbeeck K, Kortleven I, et al. Differences in gut microbiota composition between obese and lean children: a cross-sectional study. Gut Pathog. 2013;5:10. doi: 10.1186/1757-4749-5-10.
    1. Collado MC, Isolauri E, Laitinen K, Salminen S. Distinct composition of gut microbiota during pregnancy in overweight and normal-weight women. Am J Clin Nutr. 2008;88:894–899.
    1. Mariat D, Firmesse O, Levenez F, et al. The Firmicutes/Bacteroidetes ratio of the human microbiota changes with age. BMC Microbiol. 2009;9:123. doi: 10.1186/1471-2180-9-123.

Source: PubMed

3
S'abonner