Evidence map›Paper›PMID 41094591›Full record

ArticleJournal of translational medicine2025

IL-6

Jun Chen, Yichen Xiong, Binjie Liu, Wenjie Li

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
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

4 authors.

Jun ChenHunan Engineering Research Center for Oral Digital Intelligence and Personalized Medicine, Hunan Key Laboratory of Oral Health Research, Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Academician Workstation for Oral-maxillofacial and Regenerative Medicine, Xiangya School of Stomatology, Central South University, Changsha, 410000, China.
Yichen XiongHunan Engineering Research Center for Oral Digital Intelligence and Personalized Medicine, Hunan Key Laboratory of Oral Health Research, Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Academician Workstation for Oral-maxillofacial and Regenerative Medicine, Xiangya School of Stomatology, Central South University, Changsha, 410000, China.
Binjie LiuHunan Engineering Research Center for Oral Digital Intelligence and Personalized Medicine, Hunan Key Laboratory of Oral Health Research, Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Academician Workstation for Oral-maxillofacial and Regenerative Medicine, Xiangya School of Stomatology, Central South University, Changsha, 410000, China.
Wenjie LiHunan Engineering Research Center for Oral Digital Intelligence and Personalized Medicine, Hunan Key Laboratory of Oral Health Research, Hunan Clinical Research Center of Oral Major Diseases and Oral Health, Academician Workstation for Oral-maxillofacial and Regenerative Medicine, Xiangya School of Stomatology, Central South University, Changsha, 410000, China. liwenj@csu.edu.cn.

Funding

Hunan Province Graduate Teaching Reform Research Project 2023JGYB047Hunan Province Graduate Teaching Reform Research Project 2024JGYB040National Key Research and Development Program of China 2024YFB3815004Natural Science Foundation of Changsha kq2403114Natural Science Foundation of Hunan Province 2024JJ5506New Clinical Practice Technology Project of Xiangya Stomatological Hospital Central South University 2023JS01New Clinical Practice Technology Project of Xiangya Stomatological Hospital Central South University 2023JS04
6 · The paper itself

Abstract

objectivesTo reveal the cellular composition and molecular environment of the inflammatory infiltrates in residual deep pockets of severe periodontitis following non-surgical periodontal therapy (NSPT). This may provide critical insights for targeted therapy in managing severe periodontitis.

methodsSingle-cell RNA-seq (scRNA-seq) and bulk RNA-seq of periodontal tissues from patients with severe periodontitis following NSPT and healthy donors were performed. Eligible public datasets of scRNA-seq and bulk RNA-seq were also used for analysis. Multiplex immunohistochemical immunofluorescence was used to validate the identified cell subtypes further.

resultsWe identified a diverse inflammatory microenvironment landscape in the residual deep pockets of severe periodontitis after NSPT, in which IL-6

conclusionsOur study unveiled the presence of a fibroblast-mediated network localized in the hypoxic region of the severe periodontitis that functionally linked macrophages and fibroblasts, which collaborate to exacerbate the periodontal inflammation microenvironment. These findings may offer a new perspective for the targeted treatment of severe periodontitis, especially the targeted treatment against IL-6

Indexed as

Cellular MicroenvironmentFibroblastsInflammationInterleukin-6PeriodontitisAdultFemaleHumansMacrophagesMaleMiddle AgedSeverity of Illness IndexInterleukin-6FibroblastsMacrophagesPeriodontitisSingle-cell sequencing

Identifiers

PMID41094591
PMCPMC12523107

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.