Evidence map›Paper›PMID 41646399›Full record

ArticleResearch square2026

Using Spatial Transcriptomics to Identify a Diagnostic Molecular Signature Associated with Reversible Dental Pulpitis.

Samer Helal Zaky, Dhivyaa Rajasundaram, Alyssa Lu Lee, Kurt Summersgill, Steven Levine, Osama Boulos, Giuseppe Intini, Charles Sfeir, Renato Menezes Silva

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In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Samer Helal ZakyUniversity of Pittsburgh School of Dental Medicine.ORCID 0000-0001-5550-5450
Dhivyaa RajasundaramChildren's Hospital of Pittsburgh of UPMC.
Alyssa Lu LeeChildren's Hospital of Pittsburgh of UPMC.
Kurt SummersgillUniversity of Pittsburgh School of Dental Medicine.
Steven LevineUniversity of Pittsburgh School of Dental Medicine.
Osama BoulosUniversity of Pittsburgh School of Dental Medicine.
Giuseppe IntiniUniversity of Pittsburgh School of Dental Medicine.
Charles SfeirUniversity of Pittsburgh School of Dental Medicine.
Renato Menezes SilvaUniversity of Pittsburgh School of Dental Medicine.

Funding

Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
NCATS NIH HHS KL2 TR001856
6 · The paper itself

Abstract

Background: Diagnostic protocols in endodontics rely heavily on subjective pain assessments and sensibility testing, which often fail to reflect the true histopathological and molecular state of the dental pulp. This limitation can result in misdiagnosis of reversible pulpal inflammation (pulpitis) as irreversible, leading to unnecessary devitalization of teeth that might otherwise respond to more conservative treatments. Improved understanding of pulp biology is essential to refine case selection and maintain tooth vitality. Objective: We aim to investigate the transcriptomic profiles of pulpitis, identify inflammation subtypes, and improve classification beyond the traditional reversible/irreversible framework. Methods: Spatial transcriptomics (Visium-CytAssist-V2) was used to analyze four dental pulp tissues. Cell deconvolution and differential gene expression analyses were performed to characterize transcriptomic signatures of healthy pulp (HL), reversible pulpitis (RP), and irreversible pulpitis (IP), with specific attention to coronal regions adjacent to carious lesions. Results: Clinically diagnosed IP samples, presenting with deep caries, percussion sensitivity, and lingering cold pain, shared molecular features with RP, including a similar immune-fibroblast ratio and activation of TLR4 and neuroinflammation pathways. IP samples showed upregulation of genes involved in immune signaling, cell migration, and tissue repair. Notably, increased Conclusion: Our data suggest a distinct transcriptomic profile associated with pulp healing. These findings support a more nuanced diagnostic approach that emphasizes immune-fibroblast dynamics, with implications for improving pulp preservation through appropriate vital pulp therapy.

Indexed as

fibroblastsmacrophagespulpitisreversibility profileSpatial transcriptomics

Identifiers

PMID41646399
PMCPMC12869694

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Registered trials

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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.