Evidence map›Paper›PMID 37422651›Full record

ArticleBMC oral health2023

Brief literature review and comprehensive bioinformatics analytics unravel the potential mechanism of curcumin in the treatment of periodontitis.

Xufeng Huang, Ying Liu, Qi Wang, Hafiz Muzzammel Rehman, Dorottya Horváth, Shujing Zhou, Rao Fu, Ling Zhang, Attila Gábor Szöllősi, Zhengrui Li

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Effect ofFrontiers in microbiology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 4 countries.

Xufeng Huang *Faculty of Dentistry, University of Debrecen, Debrecen, Hungary.
Ying Liu *Department of Cardiology, Sixth Medical Center, PLA General Hospital, Beijing, China.
Qi Wang *Department of Gastroenterology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, China.
Hafiz Muzzammel RehmanSchool of Biochemistry and Biotechnology, University of the Punjab, LahorePunjab, 54590, Pakistan.
Dorottya HorváthDepartment of Immunology, University of Debrecen, Debrecen, Hungary.
Shujing ZhouDepartment of Immunology, University of Debrecen, Debrecen, Hungary.
Rao FuDepartment of Oral and Maxillofacial-Head and Neck Oncology, College of Stomatology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ling ZhangDepartment of Oral and Maxillofacial-Head and Neck Oncology, College of Stomatology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China. topgun1128@163.com.
Attila Gábor SzöllősiDepartment of Immunology, University of Debrecen, Debrecen, Hungary. szollosi.attila@med.unideb.hu.
Zhengrui LiDepartment of Oral and Maxillofacial-Head and Neck Oncology, College of Stomatology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China. lzr_0108@sjtu.edu.cn.
University of Debrecen · HUShanghai Jiao Tong University · CNChinese PLA General Hospital · CNJiangsu University · CNUniversity of the Punjab · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePeriodontitis is a chronic oral disease prevalent worldwide, and natural products are recommended as adjunctive therapy due to their minor side effects. Curcumin, a widely used ancient compound, has been reported to possess therapeutic effects in periodontitis. However, the exact mechanism underlying its activity remains unclear. In this context, the present study aimed to conduct computational simulations to uncover the potential mechanism of action of Curcumin in the treatment of periodontitis. MATERIALS AND

methodsSingle-cell analysis was conducted using a dataset (i.e., GSE164241) curated from the Gene Expression Omnibus (GEO) database through an R package "Seurat package." Bulk RNA sequencing data were curated from GSE10334 and GSE16134 and processed by R package "Limma." Then, the marker genes in the single-cell transcriptome and differentially expressed genes (DEGs) in the bulk transcriptome were integrated. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses were also carried out to reveal their functionalities. Key targets were mined from their protein-protein interaction (PPI) network topologically. Afterward, molecular docking was performed. The top-ranked pose was subjected to molecular dynamics simulations to investigate the stability of the docking result.

resultsFOS, CXCL1, CXCL8, and IL1B, were filtered after a series of selected processes. The results of molecular modeling suggested that except for IL1B, the Vena Scores of the rest exceeded -5 kcal/mol. Furthermore, the molecular dynamic simulation indicated that the binding of the CXCL8-Curcumin complex was stable over the entire 100 ns simulation.

conclusionThe present study unlocked the binding modes of CXCL1, FOS, and CXCL8 with the Curcumin molecule, which were relatively stable, especially for CXCL8, hindering its promising potential to serve as the critical targets of Curcumin in periodontitis treatment.

Indexed as

CurcuminPeriodontitisComputational BiologyGene Expression ProfilingHumansMolecular Docking SimulationProtein Interaction MapsCurcuminBioinformaticsCurcuminMolecular dockingMolecular dynamic simulationPeriodontitis

Identifiers

PMID37422651
PMCPMC10329799
OpenAlexW4383618589

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.