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Research Paper

A metagenomic prospective cohort study on gut microbiome composition and clinical infection in small bowel transplantation

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Article: 2323232 | Received 03 Aug 2023, Accepted 21 Feb 2024, Published online: 04 Mar 2024

Figures & data

Table 1. Organisms cultured from clinical samples by participant.

Figure 1. Stacked bar charts representing the relative abundances (% of OTUs in sample) of five most prominent phyla by sampling timepoint.

Samples are arranged longitudinally by participant, beginning with the donor sample. Samples were assigned a unique alphanumeric identification comprising the participant’s unique number (1,2,3,4,5), followed by the transplantation visit (V1) or endoscopy number (E1-E6) and the sample type (ileal-I, colonic-C, donor-D.)
Figure 1. Stacked bar charts representing the relative abundances (% of OTUs in sample) of five most prominent phyla by sampling timepoint.

Figure 2. Shannon α-diversity index, at species level, of participant samples.

Samples are arranged longitudinally by participant. Timepoint 1 corresponds to the date of transplant and all subsequent timepoints show α-diversity at follow-up endoscopies.
Figure 2. Shannon α-diversity index, at species level, of participant samples.

Figure 3. Quantification of antimicrobial resistance genes (ARG) present in participant samples.

A) Cumulative number of ARGs in all patient samples at time point 1 (day of transplant,) time point 2 and 3 (1st and 2nd endoscopy follow up.) *Significant difference in number of ARGs between timepoints. B) ARG evolution in samples, over time, by participant. ARG are grouped by mechanism of resistance and annotated by antimicrobial drug class to which they confer resistance. If an AMR gene conferred resistance to 3 antimicrobial classes, the antimicrobial drug class was classified as ‘multidrug’ resistance.
Figure 3. Quantification of antimicrobial resistance genes (ARG) present in participant samples.

Table 2. Clinical summary of participants.

Figure 4. Multivariable association matrix depicting the top 50 functional pathway genes with significant alterations.

Metabolic gene abundances are represented in participants 1, 2, 3 and 4, in relation to participant 5. Participant 5 had the best post-op outcome: No sepsis or rejection episodes, survival at 1 year and short hospital in-patient stay. Red depicts significantly enriched metabolic pathway genes and blue depicts significantly depleted genes.
Figure 4. Multivariable association matrix depicting the top 50 functional pathway genes with significant alterations.

Figure 5. Principal coordinate analysis depicting the microbial composition of the three sample types: donor, recipient ileum and recipient colon.

Ellipses show a large overlap in the ileal and colonic microbial compositions in the transplant recipients.
Figure 5. Principal coordinate analysis depicting the microbial composition of the three sample types: donor, recipient ileum and recipient colon.
Supplemental material

Revised_SBT_supplementary_data_18122023.docx

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Data availability statement

The authors confirm that the data supporting the findings of this study are available in the article and its supplementary materials. The microbial WMS reads for 40 patient samples and WGS reads for 3 bacterial isolates have been deposited in the NCBI Sequence Read Archive under BioProject accession PRJNA1004534.