PMID- 38532421
OWN - NLM
STAT- MEDLINE
DCOM- 20240328
LR  - 20240329
IS  - 1472-6831 (Electronic)
IS  - 1472-6831 (Linking)
VI  - 24
IP  - 1
DP  - 2024 Mar 26
TI  - Prediction of interactomic hub genes in PBMC cells in type 2 diabetes mellitus, 
      dyslipidemia, and periodontitis.
PG  - 385
LID - 10.1186/s12903-024-04041-y [doi]
LID - 385
AB  - BACKGROUND AND OBJECTIVE: In recent years, the complex interplay between systemic 
      health and oral well-being has emerged as a focal point for researchers and 
      healthcare practitioners. Among the several important connections, the 
      convergence of Type 2 Diabetes Mellitus (T2DM), dyslipidemia, chronic 
      periodontitis, and peripheral blood mononuclear cells (PBMCs) is a remarkable 
      example. These components collectively contribute to a network of interactions 
      that extends beyond their domains, underscoring the intricate nature of human 
      health. In the current study, bioinformatics analysis was utilized to predict the 
      interactomic hub genes involved in type 2 diabetes mellitus (T2DM), dyslipidemia, 
      and periodontitis and their relationships to peripheral blood mononuclear cells 
      (PBMC) by machine learning algorithms. MATERIALS AND METHODS: Gene Expression 
      Omnibus datasets were utilized to identify the genes linked to type 2 diabetes 
      mellitus(T2DM), dyslipidemia, and Periodontitis (GSE156993).Gene Ontology (G.O.) 
      Enrichr, Genemania, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways 
      were used for analysis for identification and functionalities of hub genes. The 
      expression of hub D.E.G.s was confirmed, and an orange machine learning tool was 
      used to predict the hub genes. RESULT: The decision tree, AdaBoost, and Random 
      Forest had an A.U.C. of 0.982, 1.000, and 0.991 in the R.O.C. curve. The AdaBoost 
      model showed an accuracy of (1.000). The findings imply that the AdaBoost model 
      showed a good predictive value and may support the clinical evaluation and assist 
      in accurately detecting periodontitis associated with T2DM and dyslipidemia. 
      Moreover, the genes with p-value < 0.05 and A.U.C.>0.90, which showed excellent 
      predictive value, were thus considered hub genes. CONCLUSION: The hub genes and 
      the D.E.G.s identified in the present study contribute immensely to the 
      fundamentals of the molecular mechanisms occurring in the PBMC associated with 
      the progression of periodontitis in the presence of T2DM and dyslipidemia. They 
      may be considered potential biomarkers and offer novel therapeutic strategies for 
      chronic inflammatory diseases.
CI  - (c) 2024. The Author(s).
FAU - Yadalam, Pradeep Kumar
AU  - Yadalam PK
AD  - Department of periodontics, Saveetha Institute Of Medical And Technical Science 
      (SIMATS), Saveetha Dental College and Hospital, Saveetha University, Chennai, 
      India. Pradeepkumar.sdc@saveetha.com.
FAU - Arumuganainar, Deepavalli
AU  - Arumuganainar D
AD  - Department of Periodontics, Ragas Dental College and Hospital, Chennai, India.
FAU - Ronsivalle, Vincenzo
AU  - Ronsivalle V
AD  - Department of Biomedical and Surgical and Biomedical Sciences, Catania 
      University, Catania, 95123, Italy.
FAU - Di Blasio, Marco
AU  - Di Blasio M
AD  - Department of Medicine and Surgery, University Center of Dentistry, University of 
      Parma, Parma, 43126, Italy. marco.diblasio@studenti.unipr.it.
FAU - Badnjevic, Almir
AU  - Badnjevic A
AD  - Verlab Research Institute for Biomedical Engineering, Medical Devices, and 
      Artificial Intelligence, Bosnia and Herzegovina, Sarajevo, 71000, 
      Bosnia-Herzegovina.
FAU - Marrapodi, Maria Maddalena
AU  - Marrapodi MM
AD  - Department of Woman, Child and General and Specialist Surgery, University of 
      Campania "Luigi Vanvitelli", Naples, 80121, Italy.
FAU - Cervino, Gabriele
AU  - Cervino G
AD  - School of Dentistry, Department of Biomedical and Dental Sciences and 
      Morphofunctional Imaging, University of Messina, via Consolare Valeria, 1, 
      Messina, 98125, Italy.
FAU - Minervini, Giuseppe
AU  - Minervini G
AD  - Saveetha Dental College and Hospitals, Saveetha Institute of Medical and 
      Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu, India.
AD  - Multidisciplinary Department of Medical-Surgical and Dental Specialties, 
      University of Campania "Luigi Vanvitelli", Caserta, 80121, Italy.
LA  - eng
PT  - Journal Article
DEP - 20240326
PL  - England
TA  - BMC Oral Health
JT  - BMC oral health
JID - 101088684
SB  - IM
MH  - Humans
MH  - *Diabetes Mellitus, Type 2
MH  - Leukocytes, Mononuclear
MH  - *Chronic Periodontitis
MH  - *Dyslipidemias
MH  - Algorithms
MH  - Computational Biology
MH  - Gene Expression Profiling
PMC - PMC10964604
OTO - NOTNLM
OT  - Bioinformatics
OT  - Chronic periodontitis
OT  - Dyslipidemia
OT  - Hub gene
OT  - Immunity
OT  - Inflammation
OT  - Peripheral blood mononuclear cells
OT  - Type 2 diabetes mellitus
COIS- The authors declare no competing interests.
EDAT- 2024/03/27 06:43
MHDA- 2024/03/28 06:44
PMCR- 2024/03/26
CRDT- 2024/03/27 01:19
PHST- 2023/11/14 00:00 [received]
PHST- 2024/02/17 00:00 [accepted]
PHST- 2024/03/28 06:44 [medline]
PHST- 2024/03/27 06:43 [pubmed]
PHST- 2024/03/27 01:19 [entrez]
PHST- 2024/03/26 00:00 [pmc-release]
AID - 10.1186/s12903-024-04041-y [pii]
AID - 4041 [pii]
AID - 10.1186/s12903-024-04041-y [doi]
PST - epublish
SO  - BMC Oral Health. 2024 Mar 26;24(1):385. doi: 10.1186/s12903-024-04041-y.