Evidence map›Paper›PMID 42334102›Full record

Observational studyInternational endodontic journal2026

Distinct Microbiota and Functional Pathway Profiles Define Success and Failure in Regenerative Endodontic Treatment.

Leimarembi Devi Naorem, Alina Wikström, Peter Quach, Lokeshwaran Manoharan, Ronald Ordinola-Zapata, Olena Rakhimova, Malin Brundin, Nelly Romani Vestman

Abstract readObservational Study
In one paragraph

Observational study in International endodontic journal, 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

8 authors.

Leimarembi Devi NaoremDepartment of Odontology, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0002-2454-2862
Alina WikströmDepartment of Endodontics, Public Dental Health Services, Eastman Institute, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8281-9241
Peter QuachRegion of Västerbotten, Umeå, Sweden.
Lokeshwaran ManoharanNational Bioinformatics Infrastructure Sweden (NBIS), Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0001-9751-5745
Ronald Ordinola-ZapataDivision of Endodontics, Department of Restorative Sciences, School of Dentistry, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-9738-0828
Olena RakhimovaDepartment of Odontology, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0002-3536-4467
Malin BrundinDepartment of Odontology, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0002-8747-3307
Nelly Romani VestmanDepartment of Odontology, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0002-5674-8179

Funding

ALF RV-967705Kempestiftelserna Kempe JCSMK23-0158Region of Västerbotten (Sweden) TUA 977100
6 · The paper itself

Abstract

aimTo characterize the intracanal microbiota and identify key microbial taxa and functional pathways associated with regenerative endodontic treatment (RET) outcomes. METHODOLOGY: In this observational cohort study, 196 samples were collected at five time points from external tooth surfaces (T1, T4) and root canals (T2, T3, T5). The V3-V4 hypervariable region of 16S rRNA gene was amplified and sequenced on the Illumina MiSeq platform. Sequence data were pre-processed using QIIME2 and DADA2 to generate amplicon sequence variants (ASVs), classified against the eHOMD database. Microbial diversity, differential abundance, and Receiver Operating Characteristic (ROC) analyses were performed using R statistical software. Functional profiles were predicted using PICRUSt2.

resultsRET induced dynamic shifts in the root canal microbiome, with initially predominant phyla including Actinomycetota, Bacillota, Bacteroidota, Fusobacteriota and Pseudomonadota. Cases with treatment failure consistently showed a higher relative abundance of Fusobacteriota than successful cases. Alpha diversity varied across time points, with outcome-specific differences observed only at T3; beta diversity differed significantly by time point but not by treatment outcome. Differential abundance analysis at T5 revealed enrichment of Rothia dentocariosa and Leptothrix sp. in successful cases, whereas failed cases were enriched in Fusobacterium polymorphum, Streptococcus sanguinis, Campylobacter showae, Lachnoanaerobaculum sp. and Selenomonas sp. These taxa demonstrated moderate diagnostic potential, with area under the curve (AUC) values of 0.70-0.82. Persistence analysis showed that F. polymorphum, C. showae and Selenomonas sp. exhibited greater persistence in failed cases across treatment time points. Predicted functional profiling indicated distinct metabolic potentials between successful and failed treatment groups.

conclusionsRET alters the intracanal microbiome, with taxa identified following intracanal dressing exhibiting moderate predictive potential as biomarkers for treatment outcome, thereby contributing to early prognosis and informing RET strategies.

Indexed as

Dental Pulp CavityMicrobiotaRegenerative EndodonticsCohort StudiesHumansRNA, Ribosomal, 16STreatment FailureTreatment OutcomeRNA, Ribosomal, 16S16S rRNA gene sequencingcalcium hydroxidedifferential abundancemicrobiotaregenerative endodontic treatmenttreatment outcome

Identifiers

PMID42334102
PMCPMC13569218

What OpenQuestion holds

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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.