Evidence map›Paper›PMID 35116136›Full record

ReviewComputational and structural biotechnology journal2022

Analyzing the human gut mycobiome - A short guide for beginners.

Nadja Thielemann, Michaela Herz, Oliver Kurzai, Ronny Martin

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. The Gut Mycobiome for Precision Medicine.Journal of fungi (Basel, Switzerland) · 2025
    Review
  7. Review
  8. A comprehensive guide to assess gut mycobiome and its role in pathogenesis and treatment of inflammatory bowel disease.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2024
    Review
  9. Review
  10. Review
  11. Article
  12. Porcine fungal mock community analyses: Implications for mycobiome investigations.Frontiers in cellular and infection microbiology · 2023
    Article
  13. The Game for Three:Frontiers in microbiology · 2022
    Review
  14. 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

4 authors.

Nadja ThielemannInstitute for Hygiene and Microbiology, University of Würzburg, Würzburg, Germany.
Michaela HerzInstitute for Hygiene and Microbiology, University of Würzburg, Würzburg, Germany.
Oliver KurzaiInstitute for Hygiene and Microbiology, University of Würzburg, Würzburg, Germany.
Ronny MartinInstitute for Hygiene and Microbiology, University of Würzburg, Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human body is a dynamic ecosystem consisting of millions of microbes which are often comprised under the term microbiome. Compared to bacteria, which count for the overwhelming majority of the microbiome, the number of human-associated fungi is small and often underestimated. Nonetheless, they can be found in different host niches such as the gut, the oral cavity and the skin. The fungal community has several potential roles in health and disease of the human host. In this review we will focus on intestinal fungi and their interaction with the host as well as bacteria. We also summarize technical challenges and possible biases researchers must be aware of when conducting mycobiome analysis.

Indexed as

CandidaHost-fungal interactionsMycobiome

Identifiers

PMID35116136
PMCPMC8790610

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.