Evidence map›Paper›PMID 42090015›Full record

ReviewAntonie van Leeuwenhoek2026

Exploring the oral microbiome: from traditional techniques to advanced omics and databases.

Pankaj Kumar Arora, Mushtaq Ali, Aditya Pratap Singh, Vimal Kumar Dubey, Alok Srivastava, Sanjay Kumar Garg

Abstract readReview
PubMed Publisher
In one paragraph

Review in Antonie van Leeuwenhoek, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Pankaj Kumar AroraDepartment of Plant Science, Faculty of Applied Sciences, MJP Rohilkhand University, Bareilly, India. arora484@gmail.com.
Mushtaq AliDepartment of Microbiology, MJP Rohilkhand University, Bareilly, India.
Aditya Pratap SinghDepartment of Microbiology, MJP Rohilkhand University, Bareilly, India.
Vimal Kumar DubeyFaculty of Agriculture, Mahayogi Gorakhnath University, Gorakhpur, India.
Alok SrivastavaDepartment of Plant Science, Faculty of Applied Sciences, MJP Rohilkhand University, Bareilly, India.
Sanjay Kumar GargDepartment of Plant Science, Faculty of Applied Sciences, MJP Rohilkhand University, Bareilly, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The oral microbiome comprises analysis of microbes within the oral cavity. Omics, molecular, and bioinformatic methods have significant functions in examining the diversity, composition, and function of the oral microbiome. Molecular techniques, especially 16S and 18S rRNA sequencing, have transformed the study of the oral microbiome. Analysis by 16S rRNA gene sequences of the oral sample creates a broad portrait of the species composition of the oral microbiome and both existing and new species of bacteria. It is instrumental in detecting bacterial pathogens at specific levels, specifically those involved with dental caries, periodontal disease, and oral malignancy. Paralleling the above, analysis by 18S rRNA gene sequencing elicits information related to the composition of fungal as well as protist members within the oral microbiome that plays significant roles for oral health. It can detect oral cavity parasitic infections, which may lead to oral health conditions. Omics tools are general terms for the use of high-throughput approaches to study on a large scale a variety of biological molecules. Applying these technologies to the oral microbiome allows researchers to determine the genetic, transcriptomic, proteomic, and metabolomic profiles of microbes in the oral cavity. These tools help to obtain an overall picture of the oral microbiome, such as its composition, function, and interactions. There are several databases offering useful information on the oral microbiome. These databases store curated information regarding microbial communities in the oral cavity, which aid researchers in the exploration of oral microbiome diversity, composition, and functional characteristics. Some of the examples include Human Oral Microbiome Database (HOMD) and Oral Microbiome Database (OMD). In minireview, we have provided an overview of a variety of molecular and omics tools and databases utilized in the exploration of the oral microbiome.

Indexed as

MicrobiotaMouthBacteriaComputational BiologyGenomicsHumansMultiomicsProteomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16SDatabaseGenomicsMicrobiomeOmicsProteomicsTranscriptomics

Identifiers

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.