Unknown

Dataset Information

0

Biofilm microbiome in extracorporeal membrane oxygenator catheters.


ABSTRACT: Despite the formation of biofilms on catheters for extracorporeal membrane oxygenation (ECMO), some patients do not show bacteremia. To elucidate the specific linkage between biofilms and bacteremia in patients with ECMO, an improved understanding of the microbial community within catheter biofilms is necessary. Hence, we aimed to evaluate the biofilm microbiome of ECMO catheters from adults with (n = 6) and without (n = 15) bacteremia. The microbiomes of the catheter biofilms were evaluated by profiling the V3 and V4 regions of bacterial 16s rRNA genes using the Illumina MiSeq sequencing platform. In total, 2,548,172 reads, with an average of 121,341 reads per sample, were generated. Although alpha diversity was slightly higher in the non-bacteremic group, the difference was not statistically significant. In addition, there was no difference in beta diversity between the two groups. We found 367 different genera, of which 8 were present in all samples regardless of group; Limnohabitans, Flavobacterium, Delftia, Massilia, Bacillus, Candidatus, Xiphinematobacter, and CL0-1 showed an abundance of more than 1% in the sample. In particular, Arthrobacter, SMB53, Neisseria, Ortrobactrum, Candidatus Rhabdochlamydia, Deefgae, Dyella, Paracoccus, and Pedobacter were highly abundant in the bacteremic group. Network analysis indicated that the microbiome of the bacteremic group was more complex than that of the non-bacteremic group. Flavobacterium and CL0.1, which were abundant in the bacteremic group, were considered important genera because they connected different subnetworks. Biofilm characteristics in ECMO catheters varied according to the presence or absence of bacteremia. There were no significant differences in diversity between the two groups, but there were significant differences in the community composition of the biofilms. The biofilm-associated community was dynamic, with the bacteremic group showing very complex network connections within the microbiome.

SUBMITTER: Yu Y 

PROVIDER: S-EPMC8445415 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC8298931 | biostudies-literature
| S-EPMC7040549 | biostudies-literature
| S-EPMC5808906 | biostudies-literature
| S-EPMC7971568 | biostudies-literature
2019-12-31 | GSE93101 | GEO
| S-EPMC3876455 | biostudies-literature
| S-EPMC5445582 | biostudies-literature
| PRJNA481855 | ENA
| PRJEB33776 | ENA
| S-EPMC5966383 | biostudies-literature