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Ribeiro A, Decaup PH, Andriantavy M, Couture C, Garot E. Skeletal indicators of pathology in the context of early tooth loss in children: A systematic literature review. INTERNATIONAL JOURNAL OF PALEOPATHOLOGY 2024; 46:37-49. [PMID: 39029336 DOI: 10.1016/j.ijpp.2024.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 07/02/2024] [Accepted: 07/12/2024] [Indexed: 07/21/2024]
Abstract
OBJECTIVE To provide an evidence-based resource for paleopathologists to consider multiple skeletal indicators of pathology associated with early tooth loss in children to aid in diagnosis. MATERIALS Three databases (Cochrane Library, MedLine, and Scopus) were used for a review. METHODS According to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria, a systematic review guideline, 85 articles were selected. RESULTS A total of 189 children had a syndrome or disease associated with early tooth loss. Our review, based on 25 diseases, lists the bone and dental lesions observable in archeological remains. CONCLUSIONS Based on a review of the literature, a synthesis of 25 diseases and syndromes that may be associated with premature loss of permanent or deciduous teeth in children was developed for paleopathologists. It highlights the importance of a thorough dental examination by paleopathologists to further assess past health conditions. SIGNIFICANCE This paper provides an extensive resource addressing early tooth loss in childhood to assist researchers with differential diagnosis. LIMITATIONS The articles included in this review are case reports based on living populations. SUGGESTIONS FOR FURTHER RESEARCH Further studies into diseases and their association with early tooth loss would complement this work, as would utilizing the differential diagnoses on archeological individuals to clarify its value and limitations.
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Affiliation(s)
- Ana Ribeiro
- Univ. de Bordeaux, UFR des Sciences odontologiques, Bordeaux, France; Pôle de médecine et chirurgie bucco-dentaire, C.H.U de Bordeaux, France
| | - Pierre-Hadrien Decaup
- Univ. de Bordeaux, UFR des Sciences odontologiques, Bordeaux, France; Université de Bordeaux, CNRS, Ministère de la Culture, PACEA, UMR 5199, Pessac, France; Centre de Compétence des Maladies Rares Orales et Dentaires, CCMR O-Rares, C.H.U. de Bordeaux, France
| | | | - Christine Couture
- Université de Bordeaux, CNRS, Ministère de la Culture, PACEA, UMR 5199, Pessac, France
| | - Elsa Garot
- Univ. de Bordeaux, UFR des Sciences odontologiques, Bordeaux, France; Université de Bordeaux, CNRS, Ministère de la Culture, PACEA, UMR 5199, Pessac, France; Centre de Compétence des Maladies Rares Orales et Dentaires, CCMR O-Rares, C.H.U. de Bordeaux, France.
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Cundy T, Michigami T, Tachikawa K, Dray M, Collins JF, Paschalis EP, Gamsjaeger S, Roschger A, Fratzl-Zelman N, Roschger P, Klaushofer K. Reversible Deterioration in Hypophosphatasia Caused by Renal Failure With Bisphosphonate Treatment. J Bone Miner Res 2015; 30:1726-37. [PMID: 25736332 DOI: 10.1002/jbmr.2495] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Revised: 02/21/2015] [Accepted: 02/24/2015] [Indexed: 11/10/2022]
Abstract
Hypophosphatasia is an inborn error of metabolism caused by mutations in the ALPL gene. It is characterized by low serum alkaline phosphatase (ALP) activity and defective mineralization of bone, but the phenotype varies greatly in severity depending on the degree of residual enzyme activity. We describe a man with compound heterozygous mutations in ALPL, but no previous bone disease, who suffered numerous disabling fractures after he developed progressive renal failure (for which he eventually needed dialysis treatment) and was prescribed alendronate treatment. A bone biopsy showed marked osteomalacia with low osteoblast numbers and greatly elevated pyrophosphate concentrations at mineralizing surfaces. In vitro testing showed that one mutation, T117H, produced an ALP protein with almost no enzyme activity; the second, G438S, produced a protein with normal activity, but its activity was inhibited by raising the media phosphate concentration, suggesting that phosphate retention (attributable to uremia) could have contributed to the phenotypic change, although a pathogenic effect of bisphosphonate treatment is also likely. Alendronate treatment was discontinued and, while a suitable kidney donor was sought, the patient was treated for 6 months with teriparatide, which significantly reduced the osteomalacia. Eighteen months after successful renal transplantation, the patient was free of symptoms and the scintigraphic bone lesions had resolved. A third bone biopsy showed marked hyperosteoidosis but with plentiful new bone formation and a normal bone formation rate. This case illustrates how pharmacological (bisphosphonate treatment) and physiologic (renal failure) changes in the "environment" can dramatically affect the phenotype of a genetic disorder.
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Affiliation(s)
- Tim Cundy
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Aukland, New Zealand
| | - Toshimi Michigami
- Department of Bone and Mineral Research, Osaka Medical Center for Maternal and Child Health, Osaka, Japan
| | - Kanako Tachikawa
- Department of Bone and Mineral Research, Osaka Medical Center for Maternal and Child Health, Osaka, Japan
| | - Michael Dray
- Department of Pathology, Middlemore Hospital, Auckland, New Zealand
| | - John F Collins
- Department of Renal Medicine, Auckland City Hospital, Auckland, New Zealand
| | - Eleftherios P Paschalis
- Ludwig Boltzmann Institute of Osteology at Hanusch Hospital of WGKK and AUVA Trauma Centre Meidling, 1st Medical Department, Hanusch Hospital, Vienna, Austria
| | - Sonja Gamsjaeger
- Ludwig Boltzmann Institute of Osteology at Hanusch Hospital of WGKK and AUVA Trauma Centre Meidling, 1st Medical Department, Hanusch Hospital, Vienna, Austria
| | - Andreas Roschger
- Ludwig Boltzmann Institute of Osteology at Hanusch Hospital of WGKK and AUVA Trauma Centre Meidling, 1st Medical Department, Hanusch Hospital, Vienna, Austria
| | - Nadja Fratzl-Zelman
- Ludwig Boltzmann Institute of Osteology at Hanusch Hospital of WGKK and AUVA Trauma Centre Meidling, 1st Medical Department, Hanusch Hospital, Vienna, Austria
| | - Paul Roschger
- Ludwig Boltzmann Institute of Osteology at Hanusch Hospital of WGKK and AUVA Trauma Centre Meidling, 1st Medical Department, Hanusch Hospital, Vienna, Austria
| | - Klaus Klaushofer
- Ludwig Boltzmann Institute of Osteology at Hanusch Hospital of WGKK and AUVA Trauma Centre Meidling, 1st Medical Department, Hanusch Hospital, Vienna, Austria
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Zemojtel T, Köhler S, Mackenroth L, Jäger M, Hecht J, Krawitz P, Graul-Neumann L, Doelken S, Ehmke N, Spielmann M, Oien NC, Schweiger MR, Krüger U, Frommer G, Fischer B, Kornak U, Flöttmann R, Ardeshirdavani A, Moreau Y, Lewis SE, Haendel M, Smedley D, Horn D, Mundlos S, Robinson PN. Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome. Sci Transl Med 2014; 6:252ra123. [PMID: 25186178 PMCID: PMC4512639 DOI: 10.1126/scitranslmed.3009262] [Citation(s) in RCA: 189] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Less than half of patients with suspected genetic disease receive a molecular diagnosis. We have therefore integrated next-generation sequencing (NGS), bioinformatics, and clinical data into an effective diagnostic workflow. We used variants in the 2741 established Mendelian disease genes [the disease-associated genome (DAG)] to develop a targeted enrichment DAG panel (7.1 Mb), which achieves a coverage of 20-fold or better for 98% of bases. Furthermore, we established a computational method [Phenotypic Interpretation of eXomes (PhenIX)] that evaluated and ranked variants based on pathogenicity and semantic similarity of patients' phenotype described by Human Phenotype Ontology (HPO) terms to those of 3991 Mendelian diseases. In computer simulations, ranking genes based on the variant score put the true gene in first place less than 5% of the time; PhenIX placed the correct gene in first place more than 86% of the time. In a retrospective test of PhenIX on 52 patients with previously identified mutations and known diagnoses, the correct gene achieved a mean rank of 2.1. In a prospective study on 40 individuals without a diagnosis, PhenIX analysis enabled a diagnosis in 11 cases (28%, at a mean rank of 2.4). Thus, the NGS of the DAG followed by phenotype-driven bioinformatic analysis allows quick and effective differential diagnostics in medical genetics.
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Affiliation(s)
- Tomasz Zemojtel
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany. Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland. Labor Berlin-Charité Vivantes GmbH, Humangenetik, Föhrer Straße 15, 13353 Berlin, Germany
| | - Sebastian Köhler
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Luisa Mackenroth
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Marten Jäger
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Jochen Hecht
- Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195 Berlin, Germany. Berlin-Brandenburg Center for Regenerative Therapies, Charité Universitätsmedizin Berlin, 13353 Berlin, Germany
| | - Peter Krawitz
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany. Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195 Berlin, Germany
| | - Luitgard Graul-Neumann
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Sandra Doelken
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Nadja Ehmke
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Malte Spielmann
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany. Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195 Berlin, Germany
| | - Nancy Christine Oien
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany. Max Delbrück Center for Molecular Medicine, Robert-Rössle-Str. 10, 13125 Berlin, Germany
| | - Michal R Schweiger
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany. Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195 Berlin, Germany. Cologne Center for Genomics, University of Cologne, D-50931 Cologne, Germany
| | - Ulrike Krüger
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Götz Frommer
- Agilent Technologies, Hewlett-Packard-Straße 8, 76337 Waldbronn, Germany
| | - Björn Fischer
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany. Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195 Berlin, Germany
| | - Uwe Kornak
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany. Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195 Berlin, Germany
| | - Ricarda Flöttmann
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Amin Ardeshirdavani
- Department of Electrical Engineering, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, 3001 Leuven, Belgium
| | - Yves Moreau
- Department of Electrical Engineering, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, 3001 Leuven, Belgium
| | - Suzanna E Lewis
- Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Melissa Haendel
- University Library and Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Sciences University, Portland, OR 97327, USA
| | - Damian Smedley
- Mouse Informatics Group, Wellcome Trust Sanger Institute, CB10 1SA Hinxton, UK
| | - Denise Horn
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Stefan Mundlos
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany. Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195 Berlin, Germany. Berlin-Brandenburg Center for Regenerative Therapies, Charité Universitätsmedizin Berlin, 13353 Berlin, Germany
| | - Peter N Robinson
- Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany. Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195 Berlin, Germany. Berlin-Brandenburg Center for Regenerative Therapies, Charité Universitätsmedizin Berlin, 13353 Berlin, Germany. Institute for Bioinformatics, Department of Mathematics and Computer Science, Freie Universität Berlin, Takustr. 9, 14195 Berlin, Germany.
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