Evidence map›Paper›PMID 34410650›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Profiling the Human Oral Mycobiome in Tissue and Saliva Using ITS2 DNA Metabarcoding Compared to a Fungal-Specific Database.

David J Speicher, Ramy K Aziz

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

David J SpeicherDepartment of Laboratory Medicine, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada. dspeiche@stjosham.on.ca.
Ramy K AzizDepartment of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of high-throughput sequencing has caused a paradigm shift from the one-pathogen one-disease model to the significance of dysbiosis of the oral microbiome, including the oral mycobiome. The oral mycobiome can be profiled by a method modified from that used to profile the bacteriome with 16S rRNA gene primers. The first modification is to include an initial fungus lysis step that ensures representative yields of fungal DNA. The second step is to use a reliable target, the ITS1 and/or ITS2 regions of the 23S rRNA, to define the oral fungal population, and modifications of library preparation required to deal with the variable sized amplicons generated. In this chapter, a proven microbiomic approach to identify fungal populations in oral tissue samples associated with cancer is described. This approach is also applicable to the study of the salivary mycobiome in both healthy and diseased individuals.

Indexed as

MycobiomeDNA Barcoding, TaxonomicFungiHumansRNA, Ribosomal, 16SSalivaRNA, Ribosomal, 16SFungiMicrobiomeMycobiomeOral cancerSaliva

Identifiers

PMID34410650

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.