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Hu J, Song J, Chen Z, Yang J, Shi Q, Jin F, Pang Q, Chang X, Tian Y, Luo Y, Chen L. Reverse causal relationship between periodontitis and shortened telomere length: Bidirectional two-sample Mendelian random analysis. Front Immunol 2022; 13:1057602. [PMID: 36601105 PMCID: PMC9806346 DOI: 10.3389/fimmu.2022.1057602] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
Background Observational studies have demonstrated a link between shortened telomere lengths(TL) and chronic periodontitis. However, whether the shortened TL is the cause or the result of periodontitis is unknown.Therefore, our objective was to investigate a bidirectional causal relationship between periodontitis and TL using a two-sample Mendel randomized (MR) study. Methods A two-sample bidirectional MR analysis using publicly available genome-wide association study (GWAS) data was used. As the primary analysis, inverse variance weighting (IVW) was employed. To identify pleiotropy, we used leave-one-out analysis, MR-Egger, Weighted median, Simple mode, Weighted mode, and MR pleiotropy residual sum and outlier (MR-PRESSO). Results In reverse MR results, a genetic prediction of short TL was causally associated with a higher risk of periodontitis (IVW: odds ratio [OR]: 1.0601, 95% confidence interval [CI]: 1.0213 to 1.1002; P =0.0021) and other complementary MR methods. In the forward MR analysis, periodontitis was shown to have no significant effect on TL (IVW: p = 0.7242), with consistent results for the remaining complementary MR. No pleiotropy was detected in sensitivity analysis (all P>0.05). Conclusion Our MR studies showed a reverse causal relationship, with shorten TL being linked to a higher risk of periodontitis, rather than periodontitis shorten that TL. Future research is needed to investigate the relationship between cell senescence and the disease.
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Affiliation(s)
- Jiaxin Hu
- Guiyang Hospital of Stomatology, Stomatology Hospital of Guizhou University, Guiyang, Guizhou, China,School of Stomatology, Zunyi Medical University, Zunyi, Guizhou, China
| | - Jukun Song
- The Affiliated Stomatological Hospital & Stomatology of Guizhou Medical University, Guizhou Medical University, Guiyang, China
| | - Zhu Chen
- Guiyang Hospital of Stomatology, Stomatology Hospital of Guizhou University, Guiyang, Guizhou, China
| | - Jing Yang
- Guiyang Hospital of Stomatology, Stomatology Hospital of Guizhou University, Guiyang, Guizhou, China
| | - Qianhui Shi
- Guiyang Hospital of Stomatology, Stomatology Hospital of Guizhou University, Guiyang, Guizhou, China
| | - Fuqian Jin
- Guiyang Hospital of Stomatology, Stomatology Hospital of Guizhou University, Guiyang, Guizhou, China,School of Stomatology, Zunyi Medical University, Zunyi, Guizhou, China
| | - Qiyuan Pang
- Guiyang Hospital of Stomatology, Stomatology Hospital of Guizhou University, Guiyang, Guizhou, China
| | - Xingtao Chang
- School of Stomatology, Zunyi Medical University, Zunyi, Guizhou, China
| | - Yuan Tian
- Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Yi Luo
- Guiyang Hospital of Stomatology, Stomatology Hospital of Guizhou University, Guiyang, Guizhou, China,School of Stomatology, Zunyi Medical University, Zunyi, Guizhou, China,*Correspondence: Yi Luo, ; Liming Chen,
| | - Liming Chen
- Guiyang Hospital of Stomatology, Stomatology Hospital of Guizhou University, Guiyang, Guizhou, China,School of Stomatology, Zunyi Medical University, Zunyi, Guizhou, China,*Correspondence: Yi Luo, ; Liming Chen,
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Song W, Yang J, Niu Z. Association of periodontitis with leukocyte telomere length in US adults: A cross-sectional analysis of NHANES 1999 to 2002. J Periodontol 2020; 92:833-843. [PMID: 32996594 DOI: 10.1002/jper.20-0269] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 08/30/2020] [Accepted: 09/10/2020] [Indexed: 01/11/2023]
Abstract
BACKGROUND This study examines the association of periodontitis with telomere length (TL) and effect modification by population characteristics. METHODS We analyzed data from 3,478 participants from the 1999 to 2002 National Health and Nutrition Examination Survey. Probing depth, attachment loss, and bleed on probing (BOP, available for 1,973 participants only) were examined on the distal, mesial, or mid-facial site of each tooth in two randomly selected quadrants. We defined periodontitis severity according to the Centers for Disease Control/American Academy of Periodontology guideline. TL from leukocytes was measured with qPCR. We used linear and logistic regression to examine the adjusted association of different severity of periodontitis and BOP with continuous TL (bp) and dichotomized short TL (<median), respectively. To assess effect modification, we stratified the analyses by a priori selected population characteristics including sex, age, body weight status, smoking, and cardiometabolic comorbidity. RESULTS Moderate BOP (<10% bleeding sites) was significantly associated with a shorter continuous TL (β = -89.0, SE = 37.8). Moderate to severe periodontitis was significantly associated with 47% (95% confidence interval [IL], 1.04 to 2.09) higher odds of shorter TL, compared with those with mild or no periodontitis. The association was stronger in those who were female (adjusted OR, 1.76; 95% CI, 1.10 to 2.83), overweight or obese (adjusted OR, 1.64; 95% CI, 1.12 to 2.41), or had cardiometabolic comorbidities (adjusted OR, 2.13; 95% CI, 1.38 to 3.29). CONCLUSIONS Periodontitis was associated with TL, a biomarker of cellular aging. The association was stronger in females, overweight or obese, or those with cardiometabolic diseases. Treatment on periodontitis could potentially protect individuals from aging-related diseases.
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Affiliation(s)
- Weihong Song
- Department of Stomatology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jianzhen Yang
- Department of Endodontics, Southern Medical University Hospital of Stomatology (Guandong Stomatology Hospital), Guangzhou, China
| | - Zhongzheng Niu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, the State University of New York at Buffalo, Buffalo, New York, USA
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Gomaa N, Tenenbaum H, Glogauer M, Quiñonez C. The Biology of Social Adversity Applied to Oral Health. J Dent Res 2019; 98:1442-1449. [PMID: 31547748 DOI: 10.1177/0022034519876559] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Biological embodiment is a concept derived from Engel's biopsychosocial model to health, theorized as the process by which adverse social exposures trigger neuroendocrine and immune responses, leading to disease and/or increased disease susceptibility. This critical review discusses the biopsychosocial model as applied to oral health and its relevance to oral health policy while deciphering some of the pathobiological processes underlying social adversity. In periodontal disease, for example, such processes can occur via the activation of the hypothalamic-pituitary-adrenal axis and the consequent release of the chronic stress hormone cortisol. The latter contributes to a proinflammatory immune state that increases the risk for periodontal inflammation. Recent research shows that cortisol relates to an elevated oral inflammatory load, demonstrated as hyperactive neutrophils that are pivotal to periodontal tissue damage. Consistent with the biopsychosocial model, this relationship is amplified in those of lower income and higher financial stress. Similarly, among children from lower socioeconomic backgrounds, cortisol is linked to a higher cariogenic bacterial load. Such findings implicate the stress pathway as key in the oral pathogenic process, particularly under social/socioeconomic adversity. Collectively, this work emphasizes the importance of addressing social factors in alleviating oral disease burden and reducing the social gaps therein.
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Affiliation(s)
- N Gomaa
- Neuroscience and Mental Health, SickKids Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.,Paediatrics, Faculty of Medicine, University of Toronto, ON, Canada
| | - H Tenenbaum
- Periodontology, Faculty of Dentistry, University of Toronto, Toronto, ON, Canada.,Centre for Advanced Dental Research and Care, Department of Dentistry, Mount Sinai Hospital, Toronto, ON, Canada
| | - M Glogauer
- Periodontology, Faculty of Dentistry, University of Toronto, Toronto, ON, Canada.,Department of Dental Oncology, Princess Margaret Hospital, Toronto, ON, Canada
| | - C Quiñonez
- Dental Public Health, Faculty of Dentistry, University of Toronto, Toronto, ON, Canada
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Bateson M, Aviv A, Bendix L, Benetos A, Ben-Shlomo Y, Bojesen SE, Cooper C, Cooper R, Deary IJ, Hägg S, Harris SE, Kark JD, Kronenberg F, Kuh D, Labat C, Martin-Ruiz CM, Meyer C, Nordestgaard BG, Penninx BWJH, Pepper GV, Révész D, Said MA, Starr JM, Syddall H, Thomson WM, van der Harst P, Whooley M, von Zglinicki T, Willeit P, Zhan Y, Nettle D. Smoking does not accelerate leucocyte telomere attrition: a meta-analysis of 18 longitudinal cohorts. ROYAL SOCIETY OPEN SCIENCE 2019; 6:190420. [PMID: 31312500 PMCID: PMC6599800 DOI: 10.1098/rsos.190420] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 05/03/2019] [Indexed: 06/10/2023]
Abstract
Smoking is associated with shorter leucocyte telomere length (LTL), a biomarker of increased morbidity and reduced longevity. This association is widely interpreted as evidence that smoking causes accelerated LTL attrition in adulthood, but the evidence for this is inconsistent. We analysed the association between smoking and LTL dynamics in 18 longitudinal cohorts. The dataset included data from 12 579 adults (4678 current smokers and 7901 non-smokers) over a mean follow-up interval of 8.6 years. Meta-analysis confirmed a cross-sectional difference in LTL between smokers and non-smokers, with mean LTL 84.61 bp shorter in smokers (95% CI: 22.62 to 146.61). However, LTL attrition was only 0.51 bp yr-1 faster in smokers than in non-smokers (95% CI: -2.09 to 1.08), a difference that equates to only 1.32% of the estimated age-related loss of 38.33 bp yr-1. Assuming a linear effect of smoking, 167 years of smoking would be required to generate the observed cross-sectional difference in LTL. Therefore, the difference in LTL between smokers and non-smokers is extremely unlikely to be explained by a linear, causal effect of smoking. Selective adoption, whereby individuals with short telomeres are more likely to start smoking, needs to be considered as a more plausible explanation for the observed pattern of telomere dynamics.
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Affiliation(s)
- Melissa Bateson
- Centre for Behaviour and Evolution and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Abraham Aviv
- Center of Human Development and Aging, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
| | - Laila Bendix
- Pain Center South, Department of Anesthesiology and Intensive Care Medicine, University Hospital Odense, Odense, Denmark
| | - Athanase Benetos
- Department of Geriatric Medicine, CHRU de Nancy, Université de Lorraine, Nancy, France
| | - Yoav Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Canynge Hall, Bristol, UK
| | - Stig E. Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen University, Copenhagen, 2730 Herlev, Denmark
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK
| | - Rachel Cooper
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, 33 Bedford Place, London WC1B 5JU, UK
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Sarah E. Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Edinburgh EH4 2XU, UK
| | - Jeremy D. Kark
- Hebrew University–Hadassah School of Public Health and Community Medicine, Ein Kerem, Jerusalem, Israel
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, 33 Bedford Place, London WC1B 5JU, UK
| | - Carlos Labat
- INSERM U1116, Université de Lorraine, Nancy, France
| | - Carmen M. Martin-Ruiz
- Centre for Behaviour and Evolution and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Craig Meyer
- Department of Medicine, University of California, San Francisco, CA 94121, USA
| | - Børge G. Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen University, Copenhagen, 2730 Herlev, Denmark
| | - Brenda W. J. H. Penninx
- Department of Psychiatry, VU University Medical Center, Oldenaller 1, 1081 HJ Amsterdam, The Netherlands
| | - Gillian V. Pepper
- Centre for Behaviour and Evolution and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Dóra Révész
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands
| | - M. Abdullah Said
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, The Netherlands
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Holly Syddall
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK
| | - William Murray Thomson
- Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin 9054, New Zealand
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, The Netherlands
| | - Mary Whooley
- Department of Medicine, University of California, San Francisco, CA 94121, USA
| | - Thomas von Zglinicki
- Institute for Cell and Molecular Biosciences, Newcastle University, Newcastle upon Tyne, UK
- Arts and Sciences Faculty, Molecular Biology and Genetics, Near East University, Nicosia, North Cyprus, Mersin 10, Turkey
| | - Peter Willeit
- Department of Neurology, Medical University of Innsbruck, Innsbruck 6020, Austria
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Yiqiang Zhan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Daniel Nettle
- Centre for Behaviour and Evolution and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
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