Evidence map›Paper›PMID 28860611›Full record

ArticleScientific reports2017

Impact of Immunosuppression on the Metagenomic Composition of the Intestinal Microbiome: a Systems Biology Approach to Post-Transplant Diabetes.

M Bhat, E Pasini, J Copeland, M Angeli, S Husain, D Kumar, E Renner, A Teterina, J Allard, D S Guttman and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 72 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Tacrolimus and diabetic rodent models.Pharmacological reports : PR · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Kidney transplantation and gut microbiota.Clinical kidney journal · 2024
    Review
  16. Review
  17. The Microbiome and Pediatric Transplantation.Journal of the Pediatric Infectious Diseases Society · 2024
    Review
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

M BhatMulti Organ Transplant Program, University Health Network, Toronto, Canada. Mamatha.bhat@uhn.ca.
E PasiniMulti Organ Transplant Program, University Health Network, Toronto, Canada.
J CopelandCentre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Canada.
M AngeliMulti Organ Transplant Program, University Health Network, Toronto, Canada.
S HusainMulti Organ Transplant Program, University Health Network, Toronto, Canada.
D KumarMulti Organ Transplant Program, University Health Network, Toronto, Canada.
E RennerMulti Organ Transplant Program, University Health Network, Toronto, Canada.
A TeterinaDivision of Gastroenterology and Hepatology, Department of Medicine, University Health Network, Ontario, Canada.
J AllardDivision of Gastroenterology and Hepatology, Department of Medicine, University Health Network, Ontario, Canada.
D S GuttmanCentre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Canada.ORCID 0000-0001-8479-3869
A HumarMulti Organ Transplant Program, University Health Network, Toronto, Canada.
University Health Network · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solid organ transplantation (SOT) outcomes have continued to improve, although long-term use of immunosuppressants can lead to complications such as diabetes, compromising post-transplant outcomes. In this study, we have characterized the intestinal microbiome (IM) composition at the metagenomic level in the context of hyperglycemia induced by immunosuppressants. Sprague-Dawley rats were subjected to doses of tacrolimus and sirolimus that reliably induce hyperglycemia and an insulin-resistant state. Subsequent exposure to probiotics resulted in reversal of hyperglycemia. 16S rRNA and metagenomic sequencing of stool were done to identify the bacterial genes and pathways enriched in immunosuppression. Bacterial diversity was significantly decreased in sirolimus-treated rats, with 9 taxa significantly less present in both immunosuppression groups: Roseburia, Oscillospira, Mollicutes, Rothia, Micrococcaceae, Actinomycetales and Staphylococcus. Following probiotics, these changes were reversed to baseline. At the metagenomic level, the balance of metabolism was shifted towards the catabolic side with an increase of genes involved in sucrose degradation, similar to diabetes. Conversely, the control rats had greater abundance of anabolic processes and genes involved in starch degradation. Immunosuppression leads to a more catabolic microbial profile, which may influence development of diabetes after SOT. Modulation of the microbiome with probiotics may help in minimizing adverse long-term effects of immunosuppression.

Indexed as

MetagenomeMetagenomicsAnimalsComputational BiologyDiabetes MellitusGastrointestinal MicrobiomeGene OntologyHumansHyperglycemiaImmunosuppression TherapyImmunosuppressive AgentsInsulin ResistanceMaleRatsRNA, Ribosomal, 16SSirolimusImmunosuppressive AgentsRNA, Ribosomal, 16SSirolimusTacrolimus

Identifiers

PMID28860611
PMCPMC5578994
OpenAlexW2750378677

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.