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Borgnakke WS. Current scientific evidence for why periodontitis should be included in diabetes management. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2024; 4:1257087. [PMID: 38274772 PMCID: PMC10809181 DOI: 10.3389/fcdhc.2023.1257087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 11/13/2023] [Indexed: 01/27/2024]
Abstract
This Perspective provides a brief summary of the scientific evidence for the two-way links between periodontal diseases and hyperglycemia (diabetes mellitus [DM] and pre-DM). It delivers in a nutshell current scientific evidence for manifestations of hyperglycemia on periodontal health status and effects of periodontal diseases on blood glucose levels and in turn incidence, progression, and complications of diabetes. Of outmost importance is presentation of scientific evidence for the potential of routine periodontal treatment to lower blood glucose levels, providing a novel, economical tool in DM management. Non-surgical periodontal treatment ("deep cleaning") can be provided by dental hygienists or dentists in general dental offices, although severe cases should be referred to specialists. Such therapy can decrease the costs of DM care and other health care costs for people with DM. The great importance of a healthy oral cavity free of infection and subsequent inflammation - especially periodontitis that if untreated will cause loosening and eventually loss of affected teeth - has largely gone unnoticed by the medical community as the health care curricula are largely void of content regarding the bi-directional links between oral health and systemic health, despite elevation of blood glucose levels being an integral part of the general systemic inflammation response. The importance of keeping disease-free, natural teeth for proper biting and chewing, smiling, self-esteem, and pain avoidance cannot be overestimated. Medical and dental professionals are strongly encouraged to collaborate in patient-centered care for their mutual patients with - or at risk for - hyperglycemia.
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Affiliation(s)
- Wenche Sylling Borgnakke
- Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, MI, United States
- Department of Periodontics and Preventive Dentistry, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States
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Shi N, Kong C, Yuan L, Liu L, Zhao K, Lü J, Wang X. The bidirectional relationship between periodontitis and diabetes: New prospects for stem cell-derived exosomes. Biomed Pharmacother 2023; 165:115219. [PMID: 37531782 DOI: 10.1016/j.biopha.2023.115219] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 08/04/2023] Open
Abstract
Periodontitis and diabetes have a bidirectional link, making therapeutic treatment of periodontitis and diabetes challenging. Numerous factors, including microbes, inflammatory cytokines, immune cell activity, glucose levels, and metabolic disorders, contribute to the bidirectional relationship of periodontitis and diabetes. Basic periodontal treatment, medication, surgical treatment, and combined treatment are the most widely used treatments, but their efficacy are limited. Because of their capacity to support bone remodeling and tissue regeneration and restoration, reduce blood glucose levels, restore islet function, and ameliorate local and systemic inflammation, stem cell-derived exosomes have emerged as a possible therapeutic. In this review, we summarize the utilization of stem cell-derived exosomes in periodontitis and diabetes,discuss their potential mechanisms in periodontitis and diabetes bidirectional promoters. It provides some theoretical basis for using stem cell-derived exosomes to regulate the bidirectional link between periodontitis and diabetes.
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Affiliation(s)
- Naixu Shi
- Department of Stomatology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Chenfei Kong
- Scientific Research Center, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Lin Yuan
- Department of Stomatology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Lu Liu
- Department of Stomatology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Kelin Zhao
- Department of Rheumatology and Immunology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Junfeng Lü
- Department of Radiation, The Second Hospital of Jilin University, Changchun, China
| | - Xiaofeng Wang
- Department of Stomatology, China-Japan Union Hospital of Jilin University, Changchun, China.
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Tian Z, Fan Y, Sun X, Wang D, Guan Y, Zhang Y, Zhang Z, Guo J, Bu H, Wu Z, Wang H. Predictive value of TCM clinical index for diabetic peripheral neuropathy among the type 2 diabetes mellitus population: A new observation and insight. Heliyon 2023; 9:e17339. [PMID: 37389043 PMCID: PMC10300217 DOI: 10.1016/j.heliyon.2023.e17339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 06/06/2023] [Accepted: 06/14/2023] [Indexed: 07/01/2023] Open
Abstract
Aims The objectives of this study were to identify clinical predictors of the Traditional Chinese medicine (TCM) clinical index for diabetic peripheral neuropathy (DPN) in type 2 diabetes mellitus (T2DM) patients, develop a clinical prediction model, and construct a nomogram. Methods We collected the TCM clinical index from 3590 T2DM recruited at the Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine from January 2019 to October 2020. The participants were randomly assigned to either the training group (n = 3297) or the validation group (n = 1426). TCM symptoms and tongue characteristics were used to assess the risk of developing DPN in T2DM patients. Through 5-fold cross-validation in the training group, the least absolute shrinkage and selection operator (LASSO) regression analysis method was used to optimize variable selection. In addition, using multifactor logistic regression analysis, a predictive model and nomogram were developed. Results A total of eight independent predictors were found to be associated with the DPN in multivariate logistic regression analyses: advanced age of grading (odds ratio/OR 1.575), smoke (OR 2.815), insomnia (OR 0.557), sweating (OR 0.535), loose teeth (OR 1.713), dry skin (OR 1.831), purple tongue (OR 2.278). And dark red tongue (OR 0.139). The model was constructed using these eight predictor's medium discriminative capabilities. The area under the curve (AUC) of the training set is 0.727, and the AUC of the validation set is 0.744 on the ROC curve. The calibration plot revealed that the model's goodness-of-fit is satisfactory. Conclusions We established a TCM prediction model for DPN in patients with T2DM based on the TCM clinical index.
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Affiliation(s)
- Zhikui Tian
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Yadong Fan
- Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210004, China
| | - Xuan Sun
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Dongjun Wang
- College of Traditional Chinese Medicine, North China University of Science and Technology, Tangshan, 063000, China
| | - Yuanyuan Guan
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Ying Zhang
- Fengnan District Hospital of Traditional Chinese Medicine, Tangshan, 063000, China
| | - Zhaohui Zhang
- Surgery of TCM, Second Affiliated Hospital of Tianjin University of TCM, Tianjin, 301617, China
| | - Jing Guo
- Surgery of TCM, Second Affiliated Hospital of Tianjin University of TCM, Tianjin, 301617, China
| | - Huaien Bu
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Zhongming Wu
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Hongwu Wang
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
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Islas-Zarazúa R, Mora-Acosta M, Navarrete-Hernández JDJ, Reynoso-Vázquez J, Villalobos-Rodelo JJ, Rojas-Ortega L, Sosa-Velazco TA, Márquez-Corona MDL, Medina-Solís CE, Maupomé G. Comparative Analysis of Edentulism in a Sample of Mexican Adults with and without Type 2 Diabetes. Healthcare (Basel) 2022; 10:2378. [PMID: 36553901 PMCID: PMC9777753 DOI: 10.3390/healthcare10122378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022] Open
Abstract
The objective of the present study was to compare the prevalence of edentulism in Mexican adults with and without a diagnosis of type 2 diabetes mellitus (T2DM) when they are seeking dental care. A cross-sectional study was conducted on 1921 medical records of Mexican adults 40 years of age and older who sought dental care at clinics of a public university in Mexico. The dependent variable was edentulism, clinically determined through an oral examination. The main independent variable was the self-report of previous T2DM diagnosis made by a physician. Sociodemographic, socioeconomic and behavioral covariates were included in a multivariate binary logistic regression model. Overall edentulism prevalence was 8.4% (95% CI = 7.1-9.6). The prevalence of T2DM was 14.3% (n = 274). The prevalence of edentulism among individuals with T2DM was 13.1%, but only 7.6% among individuals without T2DM. In the multivariate binary logistic regression model, a previous T2DM diagnosis increased the probability of being edentulous 1.61 times (95% CI = 1.03-2.50). For each year a person's age increased, the likelihood of being edentulous increased by 12% (95% CI = 10-14%). In summary, a higher prevalence of edentulism was present in Mexican adults with T2DM and in those of older age. This information may be used by dental care providers and health policymakers to improve approaches to preventive care, as well as to characterize and anticipate care needs more accurately for the adult and older adult populations.
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Affiliation(s)
- Rosalina Islas-Zarazúa
- Dentistry Academic Area, Health Sciences Institute, Autonomous University of the State of Hidalgo, Pachuca 42160, Mexico
| | - Mariana Mora-Acosta
- Dentistry Academic Area, Health Sciences Institute, Autonomous University of the State of Hidalgo, Pachuca 42160, Mexico
| | | | - Josefina Reynoso-Vázquez
- Pharmacy Academic Area, Health Sciences Institute, Autonomous University of the State of Hidalgo, Pachuca 42160, Mexico
| | - Juan José Villalobos-Rodelo
- School of Dentistry, Autonomous University of Sinaloa, Culiacan 80040, Mexico
- Department of Epidemiology, Institute of Social Security and Services for Government Workers, Culiacan 80000, Mexico
| | - Laura Rojas-Ortega
- Universidad Contemporánea de las Américas, Ciudad de Mexico 04890, Mexico
| | | | | | - Carlo Eduardo Medina-Solís
- Dentistry Academic Area, Health Sciences Institute, Autonomous University of the State of Hidalgo, Pachuca 42160, Mexico
- Advanced Studies and Research Center in Dentistry “Dr. Keisaburo Miyata”, School of Dentistry, Autonomous University of State of Mexico, Toluca 50000, Mexico
| | - Gerardo Maupomé
- Richard M. Fairbanks School of Public Health, Indiana University/Purdue University, Indianapolis, IN 46202, USA
- Indiana University Network Science Institute, Bloomington, IN 47408, USA
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