Evidence map›Paper›PMID 33348551›Full record

ReviewMicroorganisms2020

Eukaryotic and Prokaryotic Microbiota Interactions.

Aly Kodio, Estelle Menu, Stéphane Ranque

Open access · goldAbstract readReview
In one paragraph

Review in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

17 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review of Antimicrobial Properties of Carbon Nanomaterials.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Metabolic modeling of host-microbe interactions.Computational and structural biotechnology journal · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. 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

3 authors at 1 institution in 2 countries.

Aly KodioAix-Marseille Université, Instiut de Recherche pour le Développement, Assistance Publique Hôpitaux de Marseille, Service de Santé des Armées, Vecteurs et Infections TROpicales et MEditerranéennes, 13005 Marseille, France.
Estelle MenuAix-Marseille Université, Instiut de Recherche pour le Développement, Assistance Publique Hôpitaux de Marseille, Service de Santé des Armées, Vecteurs et Infections TROpicales et MEditerranéennes, 13005 Marseille, France.
Stéphane RanqueAix-Marseille Université, Instiut de Recherche pour le Développement, Assistance Publique Hôpitaux de Marseille, Service de Santé des Armées, Vecteurs et Infections TROpicales et MEditerranéennes, 13005 Marseille, France.ORCID 0000-0003-3293-5276
Aix-Marseille Université · FR

Funding

This work was supported by the French Government under the "Investissements d'avenir" (Investments for the Future) programme managed by the Agence Nationale de la Recherche (ANR, fr: National Agency for Research), (reference: Méditerranée Infection 10-IAH Méditerranée Infection 10-IAHU-03
6 · The paper itself

Abstract

The nature of the relationship between the communities of microorganisms making up the microbiota in and on a host body has been increasingly explored in recent years. Microorganisms, including bacteria, archaea, viruses, parasites and fungi, have often long co-evolved with their hosts. In human, the structure and diversity of microbiota vary according to the host's immunity, diet, environment, age, physiological and metabolic status, medical practices (e.g., antibiotic treatment), climate, season and host genetics. The recent advent of next generation sequencing (NGS) technologies enhanced observational capacities and allowed for a better understanding of the relationship between distinct microorganisms within microbiota. The interaction between the host and their microbiota has become a field of research into microorganisms with therapeutic and preventive interest for public health applications. This review aims at assessing the current knowledge on interactions between prokaryotic and eukaryotic communities. After a brief description of the metagenomic methods used in the studies were analysed, we summarise the findings of available publications describing the interaction between the bacterial communities and protozoa, helminths and fungi, either in vitro, in experimental models, or in humans. Overall, we observed the existence of a beneficial effect in situations where some microorganisms can improve the health status of the host, while the presence of other microorganisms has been associated with pathologies, resulting in an adverse effect on human health.

Indexed as

culturomicshostinteractionsmetabarcodingmetagenomicsmicrobiotamycobiotaNGS

Identifiers

PMID33348551
PMCPMC7767281
OpenAlexW3095493394

What OpenQuestion 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 OpenQuestion graph.