Evidence map›Paper›PMID 39754578›Full record

ArticleInternational endodontic journal2025

Apical periodontitis microbiome association with salivary and serum inflammatory burden.

Abdulaziz Bakhsh, Susan Joseph, Francesco Mannocci, Gordon Proctor, David Moyes, Sadia Ambreen Niazi

Abstract read
In one paragraph

Article in International endodontic journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Abdulaziz BakhshDepartment of Restorative Dentistry, Division of Endodontics, Faculty of Dental Medicine, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia.ORCID 0000-0003-3228-2025
Susan JosephCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, Guy's Dental Hospital, King's College London, London, UK.ORCID 0000-0002-0297-5405
Francesco MannocciDepartment of Endodontics, Centre of Oral Clinical and Translational Sciences, Faculty of Dentistry, Oral and Craniofacial Sciences, Guy's Dental Hospital, King's College London, London, UK.ORCID 0000-0002-0560-1054
Gordon ProctorCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, Guy's Dental Hospital, King's College London, London, UK.ORCID 0000-0002-5684-841X
David MoyesCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, Guy's Dental Hospital, King's College London, London, UK.ORCID 0000-0002-1657-918X
Sadia Ambreen NiaziDepartment of Endodontics, Centre of Oral Clinical and Translational Sciences, Faculty of Dentistry, Oral and Craniofacial Sciences, Guy's Dental Hospital, King's College London, London, UK.ORCID 0000-0003-0334-4119

Funding

British Endodontic SocietyEuropean Society of Endodontology
6 · The paper itself

Abstract

aimsApical Periodontitis (AP) involves complex interactions between the root canal microbiome and the host immune response, with potential risk of local and systemic inflammatory burden, however there is no evidence available regarding correlation between microbiome and inflammatory marker levels. This study aims to identify the microbiome of saliva, intracanal and blood samples in AP subjects and investigate the correlation between intracanal and blood microbiomes with serum inflammatory biomarker levels, and salivary microbiomes with salivary inflammatory biomarker levels. METHODOLOGY: Saliva, Intracanal and blood samples were collected from AP patients undergoing root canal retreatment. Following DNA extraction, 16SrRNA gene-sequence analysis (V1-V2) was performed using Illumina MiSeq 300 platform. Serum and salivary inflammatory marker levels were measured using the magnetic multiplex-microbead assay. The alpha and beta diversities were tested using the phyloseq package in R (version 4.1). The abundance of the identified phyla and genera were analysed using non-parametric tests. Spearman´s correlation coefficient was used for correlation between microbial abundance and biomarker levels.

resultsStreptococcus and Prevotella were prevalent in saliva; Enterococcus, Streptococcus and Bacteroidaceae_(G-1) in intracanal; and Cutibacterium and Staphylococcus in blood samples. Streptococcus, Prevotella, Actinomyces and Rothia were the most abundant common genera among all three sample sources. In saliva, Haemophilus, Gemella, Prevotella, and Alloprevotella were positively correlated with salivary levels of IL-8, MMP-2, TNF-α, and IL-6, respectively. Intracanal genera, Enterobacter, and Parvinomonas, were positively correlated serum FGF-23. Finally, the abundance of Novosphingobium, Streptococcus, Bosea, and Corynebacterium genus in blood were positively correlated with FGF-23, MMP-9, CRP, IL-8, and ICAM-1.

conclusionMicrobiome in saliva, blood and intracanal samples were correlated with some of the inflammatory biomarker levels of saliva and serum, suggesting that the effect of AP goes beyond a periapical infection and may pose a potential systemic inflammatory burden risk if left untreated.

Indexed as

InflammationMicrobiotaPeriapical PeriodontitisSalivaAdultBiomarkersFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SBiomarkersRNA, Ribosomal, 16Sapical periodontitisinflammatory markersmicrobiometargeted 16S rRNA sequencing

Identifiers

PMID39754578
PMCPMC11812624

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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.