Correlation between numbers of cells in human dental pulp and age: Implications for age estimation |
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| Affiliation: | 1. Department of Oral and Craniofacial Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia;2. Department of Oral Physiology, Faculty of Dentistry, Matsumoto Dental University, Nagano, Japan;3. Dental Faculty, Segi University College, Petaling Jaya, Malaysia;4. Department of Oro-maxillofacial Surgical & Medical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia;5. Department of Community Oral Health and Clinical Prevention, University of Malaya, Kuala Lumpur, Malaysia;1. Department of Clinic and Social Dentistry, School of Dentistry, Federal University of Paraíba, João Pessoa, Paraíba, Brazil;2. Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, State University of Campinas, Piracicaba, São Paulo, Brazil;3. Department of Morphology, Piracicaba Dental School, State University of Campinas, Piracicaba, São Paulo, Brazil;1. Medical Student, Craniofacial Research Laboratory, Plastic Surgery Section, University of Michigan, Ann Arbor, MI;2. Medical Student, Craniofacial Research Laboratory, Plastic Surgery Section, University of Michigan, Ann Arbor, MI;3. Research Fellow, Craniofacial Research Laboratory, Plastic Surgery Section, University of Michigan, Ann Arbor, MI;4. Resident, Craniofacial Research Laboratory, Plastic Surgery Section, University of Michigan, Ann Arbor, MI;6. Research Fellow, Craniofacial Research Laboratory, Plastic Surgery Section, University of Michigan, Ann Arbor, MI;5. Research Fellow, Craniofacial Research Laboratory, Plastic Surgery Section, University of Michigan, Ann Arbor, MI;1. Department of Oral Health, Princess Marina Hospital, Gaborone & Deborah Retief Memorial Hospital, Mochudi, Botswana;2. Henry M. Goldman School of Dental Medicine, Boston University, Boston, USA;3. Department of Dental Anthropology, School of Dental Medicine, University of Zagreb, Croatia;4. Department of Research in Biomedicine and Health, University of Split School of Medicine, Split, Croatia;5. Department of Anatomy, University of Split School of Medicine, Split, Croatia;6. Department of Dental Medicine, University of Split School of Medicine, Split, Croatia;1. Medical Center, Department of Operative Dentistry and Periodontology, Institute of Medial Microbiology and Hygiene, Freiburg, Germany;2. Department of Microbiology and Hygiene, Institute of Medial Microbiology and Hygiene, Freiburg, Germany;1. State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China;2. The State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China;3. Department of Conservative Dentistry and Endodontics, West China School of Stomatology, Sichuan University, Chengdu 610041, China |
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| Abstract: | ObjectiveThe aim of this study was to investigate correlations between dental pulp cell count of odontoblasts, subodontoblasts and fibroblasts and age, within different age groups. Formulation of regression equations using the dental pulp cell count for predicting age was attempted.DesignEighty-one extracted teeth were grouped into two age groups (6–25 years, 26–80 years). The teeth were demineralized and histological sections were prepared for cell count. Regression equations were generated from regression analysis of cell count and tested for age estimation.ResultsThe number of dental pulp cells were found to increase until around the third decade of life and following this, the odontoblasts and subodontoblasts cell numbers began to decline while the fibroblasts seemed to remain almost stationary. The Pearson correlation test revealed a significant positive correlation between the cell number for all type of cells and age in the 6–25 years group (r = +0.791 for odontoblasts, r = +0.600 for subodontoblasts and r = +0.680 for fibroblasts). In the 26–80 years age group, a significant negative correlation of the odontoblasts (r = −0.777) and subodontoblasts (r = −0.715) with age was observed but for fibroblasts, the correlation value was negligible (r = −0.165). Regression equations generated using odontoblasts and subodontoblasts cell number were applicable for age estimation. The standard error of estimates (SEEs) were around ± 5 years for 6–25 years and ± 8 years for 26–80 years age groups. The mean values of the estimated and chronological ages were not significantly different.ConclusionsA significant correlation between the cell count of odontoblasts and subodontoblasts with age was demonstrated. Regression equations using odontoblasts and subodontoblasts cell number can be used to predict age with some limitations. |
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| Keywords: | Dental pulp Aging Odontoblasts Subodontoblasts Fibroblasts |
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