Evidence map›Paper›PMID 41998356›Full record

ReviewStem cell reviews and reports2026

Advances in Oral Cavity Stem Cell Research Revealed through Multi-omics Analysis.

Sachio Tsuchida, Hiroshi Umemura, Masaki Nakajima, Kazuhide Iizuka, Isamu Shimazaki, Elisa Shikata, Tomohiro Nakayama

Abstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews and reports, 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

7 authors.

Sachio TsuchidaDivisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan.
Hiroshi UmemuraDivisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan.
Masaki NakajimaDivisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan.
Kazuhide IizukaDivisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan.
Isamu ShimazakiDivisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan.
Elisa ShikataDivisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan.
Tomohiro NakayamaDivisions of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-Ku, Tokyo, 173-8610, Japan. nakayama.tomohiro@nihon-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral stem cell research encompasses the study of dental pulp stem cells, periodontal ligament stem cells, regeneration of dental pulp and periodontal ligament, and therapeutic approaches for dental caries. Dental pulp stem cells, located in the oral cavity, have been applied to tooth, alveolar bone, and periodontal tissue regeneration and are anticipated to exert systemic therapeutic effects. Global efforts to identify biomarkers of oral disease have employed expression proteome analysis. However, because most proteins function only after undergoing post-translational modifications, methods based solely on expression proteomics remain limited. Consequently, increasing attention has focused on characterizing protein modifications. Advances now enable comprehensive measurement of modifications across the omics hierarchy, including the epitranscriptome, phosphoproteome, and metabolome, to clarify the layered interactions among the genome, epigenome, transcriptome, and metabolome. "Multi-omics" denotes the integration of multiple omics layers for analysis. Moreover, several omics layers can now be assessed at single-cell resolution, enabling a more detailed projection of biological phenomena and a more holistic understanding. Recently, multi-omics strategies have also been applied to oral stem cell research. This review summarizes emerging insights into oral cavity stem cell biology obtained through multi-omics approaches. We recognize the limitation that our search strategy relied exclusively on the MEDLINE database in PubMed and did not incorporate additional sources such as gray literature, conference proceedings, or clinical practice guidelines. Multi-omics analysis enables the elucidation of multilayered causal relationships in biological phenomena that were previously inaccessible using conventional single-omics approaches, by integrating multiple layers such as the genome (DNA), transcriptome (RNA), proteome (proteins), and metabolome (metabolites). Looking forward, the integration of AI and machine learning is expected to facilitate early diagnosis of oral diseases, precise patient stratification, and the advancement of personalized medicine.

Indexed as

MouthStem Cell ResearchStem CellsAnimalsDental PulpHumansMultiomicsProteomicsDental cariesMulti-omics analysisOral cavityPeriodontal diseaseStem cell

Identifiers

PMID41998356

What Socratic 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 Socratic graph.