TY - JOUR
T1 - Marked Changes in Gut Microbiota in Cardio-Surgical Intensive Care Patients
T2 - A Longitudinal Cohort Study
AU - Aardema, Heleen
AU - Lisotto, Paola
AU - Kurilshikov, Alexander
AU - Diepeveen, Janneke R.J.
AU - Friedrich, Alex W.
AU - Sinha, Bhanu
AU - de Smet, Anne Marie G.A.
AU - Harmsen, Hermie J.M.
N1 - Funding Information:
This study was supported by the Healthy Aging Committee within the University Medical Center Groningen and by the Marie Skłodowska-Curie Actions (Grant Agreement Number: 713660 - PRONKJEWAIL - H2020-MSCA-COFUND-2015).
Funding Information:
We wish to thank all patients for their participation, Joy Volkerink, Rudi Tonk and Carien Bus-Spoor for performing part of the analyses, Martijn Geutjes and Wim Dieperink for overseeing logistics, and all research nurses, notably Hetty Kranen and Marisa Onrust, for collecting data and samples. We would like to thank Charlotte van den Berg for critical appraisal of the manuscript. Finally, we would like to thank Anne-Wil Wiemer for her suggestions for improvement of the English text. Funding. This study was supported by the Healthy Aging Committee within the University Medical Center Groningen and by the Marie Sk?odowska-Curie Actions (Grant Agreement Number: 713660 - PRONKJEWAIL - H2020-MSCA-COFUND-2015).
Publisher Copyright:
© Copyright © 2020 Aardema, Lisotto, Kurilshikov, Diepeveen, Friedrich, Sinha, de Smet and Harmsen.
PY - 2020/1/15
Y1 - 2020/1/15
N2 - Background: Virtually no studies on the dynamics of the intestinal microbiota in patients admitted to the intensive care unit (ICU) are published, despite the increasingly recognized important role of microbiota on human physiology. Critical care patients undergo treatments that are known to influence the microbiota. However, dynamics and extent of such changes are not yet fully understood. To address this topic, we analyzed the microbiota before, during and after planned major cardio surgery that, for the first time, allowed us to follow the microbial dynamics of critical care patients. In this prospective, observational, longitudinal, single center study, we analyzed the fecal microbiota using 16S rRNA gene sequencing. Results: Samples of 97 patients admitted between April 2015 and November 2016 were included. In 32 patients, data of all three time points (before, during and after admission) were available for analysis. We found a large intra-individual variation in composition of gut microbiota. During admission, a significant change in microbial composition occurred in most patients, with a significant increase in pathobionts combined with a decrease in strictly anaerobic gut bacteria, typically beneficial for health. A lower bacterial diversity during admission was associated with longer hospitalization. In most patients analyzed at all three time points, the change in microbiota during hospital stay reverted to the original composition post-discharge. Conclusions: Our study shows that, even with a short ICU stay, patients present a significant change in microbial composition shortly after admission. The unique longitudinal setup of this study displayed a restoration of the microbiota in most patients to baseline composition post-discharge, which demonstrated its great restorative capacity. A relative decrease in benign or even beneficial bacteria and increase of pathobionts shifts the microbial balance in the gut, which could have clinical relevance. In future studies, the microbiota of ICU patients should be considered a good target for optimisation.
AB - Background: Virtually no studies on the dynamics of the intestinal microbiota in patients admitted to the intensive care unit (ICU) are published, despite the increasingly recognized important role of microbiota on human physiology. Critical care patients undergo treatments that are known to influence the microbiota. However, dynamics and extent of such changes are not yet fully understood. To address this topic, we analyzed the microbiota before, during and after planned major cardio surgery that, for the first time, allowed us to follow the microbial dynamics of critical care patients. In this prospective, observational, longitudinal, single center study, we analyzed the fecal microbiota using 16S rRNA gene sequencing. Results: Samples of 97 patients admitted between April 2015 and November 2016 were included. In 32 patients, data of all three time points (before, during and after admission) were available for analysis. We found a large intra-individual variation in composition of gut microbiota. During admission, a significant change in microbial composition occurred in most patients, with a significant increase in pathobionts combined with a decrease in strictly anaerobic gut bacteria, typically beneficial for health. A lower bacterial diversity during admission was associated with longer hospitalization. In most patients analyzed at all three time points, the change in microbiota during hospital stay reverted to the original composition post-discharge. Conclusions: Our study shows that, even with a short ICU stay, patients present a significant change in microbial composition shortly after admission. The unique longitudinal setup of this study displayed a restoration of the microbiota in most patients to baseline composition post-discharge, which demonstrated its great restorative capacity. A relative decrease in benign or even beneficial bacteria and increase of pathobionts shifts the microbial balance in the gut, which could have clinical relevance. In future studies, the microbiota of ICU patients should be considered a good target for optimisation.
KW - 16S rRNA gene sequencing
KW - critically ill
KW - gut microbiota
KW - intensive care unit
KW - intestinal microbiota
KW - longitudinal study
KW - Prospective Studies
KW - Bacteria/classification
KW - Humans
KW - Middle Aged
KW - Critical Illness
KW - RNA, Ribosomal, 16S/genetics
KW - Male
KW - Dysbiosis/microbiology
KW - Gastrointestinal Tract/microbiology
KW - Female
KW - Gastrointestinal Microbiome/genetics
KW - Intensive Care Units
KW - Morbidity
KW - Feces/microbiology
KW - Critical Care
KW - Aged
KW - Sequence Analysis
KW - Longitudinal Studies
KW - Cohort Studies
UR - http://www.scopus.com/inward/record.url?scp=85078760174&partnerID=8YFLogxK
U2 - 10.3389/fcimb.2019.00467
DO - 10.3389/fcimb.2019.00467
M3 - Article
C2 - 32010644
AN - SCOPUS:85078760174
SN - 2235-2988
VL - 9
SP - 467
JO - Frontiers in cellular and infection microbiology
JF - Frontiers in cellular and infection microbiology
M1 - 467
ER -