Evidence map›Paper›PMID 22572874›Full record

ReviewGut microbes

Bacterial symbioses of the medicinal leech Hirudo verbana.

Michael C Nelson, Joerg Graf

Abstract readReview
In one paragraph

Review in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

  1. Circuit-constrained molecular neuroethology in the medicinal leech Hirudo verbana.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026
    Review
  2. Article
  3. Hidden highways: fungi associated with glossiphoniid leeches.International journal for parasitology. Parasites and wildlife · 2025
    Article
  4. Article
  5. Microorganisms · 2025
    Article
  6. Microbiota Dysbiosis inMicroorganisms · 2025
    Article
  7. ERGA-BGE reference genome ofOpen research Europe · 2025
    Article
  8. Review
  9. Applied and environmental microbiology · 2021
    Article
  10. TheInternational journal of molecular sciences · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. The Animal Model Determines the Results ofFrontiers in microbiology · 2016
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors.

Michael C NelsonDepartment of Molecular and Cellular Biology, University of Connecticut, Storrs, CT, USA.
Joerg Graf

Funding

Functional Analysis of a Digestive-Tract Microbiome During Dietary ChangesR01GM095390 · NIGMS · UNIVERSITY OF CONNECTICUT STORRS · PI GRAF, JOERG, VISSCHER, PIETER T · 2011 to 2014
$1.5M
NIGMS NIH HHS R01 GM095390
6 · The paper itself

Abstract

Gastrointestinal microbiomes play important roles in the health and nutrition of animals and humans. The medicinal leech, Hirudo verbana, serves as a powerful model for the study of microbial symbioses of the gut, due to its naturally limited microbiome compared with other popular models, the ability to cultivate the most abundant microbes, and genetically manipulate one of them, Aeromonas veronii. This review covers the relevance and application of leeches in modern medicine as well as recent discoveries detailing the nature of the gut microbiome. Additionally, the dual life-style of A. veronii allows one to do direct comparisons between colonization factors for beneficial and pathogenic associations, and relevant findings are detailed with respect to their role within the host and pathogenicity to other animals.

Indexed as

SymbiosisAeromonasAnimalsGastrointestinal TractLeeches

Identifiers

PMID22572874
PMCPMC3463490

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.