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Gaafar D, Baxter N, Cranswick N, Christodoulou J, Gwee A. Pharmacogenetics of aminoglycoside-related ototoxicity: a systematic review. J Antimicrob Chemother 2024; 79:1508-1528. [PMID: 38629462 DOI: 10.1093/jac/dkae106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 03/06/2024] [Indexed: 07/02/2024] Open
Abstract
BACKGROUND Aminoglycosides (AGs) are important antibiotics in the treatment of Gram-negative sepsis. However, they are associated with the risk of irreversible sensorineural hearing loss (SNHL). Several genetic variants have been implicated in the development of ototoxicity. OBJECTIVES To evaluate the pharmacogenetic determinants of AG-related ototoxicity. METHODS This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses and was registered on Prospero (CRD42022337769). In Dec 2022, PubMed, Cochrane Library, Embase and MEDLINE were searched. Included studies were those reporting original data on the effect of the AG-exposed patient's genome on the development of ototoxicity. RESULTS Of 10 202 studies, 31 met the inclusion criteria. Twenty-nine studies focused on the mitochondrial genome, while two studied the nuclear genome. One study of neonates found that 30% of those with the m.1555A > G variant failed hearing screening after AG exposure (level 2 evidence). Seventeen additional studies found the m.1555A > G variant was associated with high penetrance (up to 100%) of SNHL after AG exposure (level 3-4 evidence). Nine studies of m.1494C > T found the penetrance of AG-related SNHL to be up to 40%; however, this variant was also identified in those with SNHL without AG exposure (level 3-4 evidence). The variants m.1005T > C and m.1095T > C may be associated with AG-related SNHL; however, further studies are needed. CONCLUSIONS This review found that the m.1555A > G and m.1494C > T variants in the MT-RNR1 gene have the strongest evidence in the development of AG-related SNHL, although study quality was limited (level 2-4). These variants were associated with high penetrance of a SNHL phenotype following AG exposure.
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Affiliation(s)
- D Gaafar
- Infectious Diseases and Clinical Pharmacology Units, Department of General Medicine, Royal Children's Hospital, Parkville, Australia
- Department of Paediatrics, The University of Melbourne, 50 Flemington Rd, Parkville, VIC 3052, Australia
- Antimicrobials Group, Murdoch Children's Research Institute, Parkville, Australia
| | - N Baxter
- Department of Paediatrics, The University of Melbourne, 50 Flemington Rd, Parkville, VIC 3052, Australia
| | - N Cranswick
- Infectious Diseases and Clinical Pharmacology Units, Department of General Medicine, Royal Children's Hospital, Parkville, Australia
- Department of Paediatrics, The University of Melbourne, 50 Flemington Rd, Parkville, VIC 3052, Australia
- Antimicrobials Group, Murdoch Children's Research Institute, Parkville, Australia
| | - J Christodoulou
- Department of Paediatrics, The University of Melbourne, 50 Flemington Rd, Parkville, VIC 3052, Australia
- Antimicrobials Group, Murdoch Children's Research Institute, Parkville, Australia
| | - A Gwee
- Infectious Diseases and Clinical Pharmacology Units, Department of General Medicine, Royal Children's Hospital, Parkville, Australia
- Department of Paediatrics, The University of Melbourne, 50 Flemington Rd, Parkville, VIC 3052, Australia
- Antimicrobials Group, Murdoch Children's Research Institute, Parkville, Australia
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Lanillos J, Santos M, Carcajona M, Roldan-Romero JM, Martinez AM, Calsina B, Monteagudo M, Leandro-García LJ, Montero-Conde C, Cascón A, Maietta P, Alvarez S, Robledo M, Rodriguez-Antona C. A Novel Approach for the Identification of Pharmacogenetic Variants in MT-RNR1 through Next-Generation Sequencing Off-Target Data. J Clin Med 2020; 9:jcm9072082. [PMID: 32630724 PMCID: PMC7408883 DOI: 10.3390/jcm9072082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 06/22/2020] [Accepted: 06/29/2020] [Indexed: 11/17/2022] Open
Abstract
Specific genetic variants in the mitochondrially encoded 12S ribosomal RNA gene (MT-RNR1) cause aminoglycoside-induced irreversible hearing loss. Mitochondrial DNA is usually not included in targeted sequencing experiments; however, off-target data may deliver this information. Here, we extract MT-RNR1 genetic variation, including the most relevant ototoxicity variant m.1555A>G, using the off-target reads of 473 research samples, sequenced through a capture-based, custom-targeted panel and whole exome sequencing (WES), and of 1245 diagnostic samples with clinical WES. Sanger sequencing and fluorescence-based genotyping were used for genotype validation. There was a correlation between off-target reads and mitochondrial coverage (rcustomPanel = 0.39, p = 2 × 10−13 and rWES = 0.67, p = 7 × 10−21). The median read depth of MT-RNR1 m.1555 was similar to the average mitochondrial genome coverage, with saliva and blood samples giving comparable results. The genotypes from 415 samples, including three m.1555G carriers, were concordant with fluorescence-based genotyping data. In clinical WES, median MT-RNR1 coverage was 56×, with 90% of samples having ≥20 reads at m.1555 position, and one m.1494T and three m.1555G carriers were identified with no evidence for heteroplasmy. Altogether, this study shows that obtaining MT-RNR1 genotypes through off-target reads is an efficient strategy that can impulse preemptive pharmacogenetic screening of this mitochondrial gene.
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Affiliation(s)
- Javier Lanillos
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
| | - María Santos
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
| | | | - Juan María Roldan-Romero
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
| | - Angel M. Martinez
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
| | - Bruna Calsina
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
| | - María Monteagudo
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
| | - Luis Javier Leandro-García
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
| | - Cristina Montero-Conde
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
| | - Alberto Cascón
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), 28029 Madrid, Spain
| | - Paolo Maietta
- Nimgenetics, 28049 Madrid, Spain; (M.C.); (P.M.); (S.A.)
| | - Sara Alvarez
- Nimgenetics, 28049 Madrid, Spain; (M.C.); (P.M.); (S.A.)
| | - Mercedes Robledo
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), 28029 Madrid, Spain
| | - Cristina Rodriguez-Antona
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain; (J.L.); (M.S.); (J.M.R.-R.); (A.M.M.); (B.C.); (M.M.); (L.J.L.-G.); (C.M.-C.); (A.C.); (M.R.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-91-732-8000 (ext. 3321)
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Wang L, Wang X, Cai X, Qiang R. Study of mitochondrial DNA A1555G and C1494T mutations in a large cohort of women individuals. Mitochondrial DNA A DNA Mapp Seq Anal 2018; 30:222-225. [PMID: 29790807 DOI: 10.1080/24701394.2018.1475477] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
Mammalian mitochondrial A1555G and C1494T mutations are the most common causes of aminoglycoside-induced and non-syndromic hearing loss. However, these two mutations always are studied in the subject of pedigrees analysis. In the present study, we aimed to investigate the genetic characteristic of the A1555G and C1494T mutations on the population-level sampling, and to study the A1555G pattern of maternal transmission in three heteroplasmic families. Four thousand two hundred and ten unrelated women with normal hearing were enrolled as subjects. We used a mutation detection kit to screen the prevalence of these two mutations and used denaturing high performance liquid chromatography (DHPLC) and DNA sequencing to detect three A1555G heteroplasmic pedigrees. The carrier rate of A1555G was 0.33%, and the carrier rate of C1494T was 0.02% in our cohort, but the rate of heteroplasmy in A1555G mutant carriers reached 21.4%. Mitochondrial A1555G mutation rate was significantly decreased during maternal transmission of the mutant. Strong purifying selection may determine the fate of mtDNA A1555G in the transmission of human population.
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Affiliation(s)
- Lin Wang
- a Northwest Women's and Children's Hospital , Xi'an , PR China
| | - Xiaobin Wang
- a Northwest Women's and Children's Hospital , Xi'an , PR China
| | - Xiaolong Cai
- b Shaanxi Provincial People's Hospital , Xi'an , PR China
| | - Rong Qiang
- a Northwest Women's and Children's Hospital , Xi'an , PR China
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Li M, Rothwell R, Vermaat M, Wachsmuth M, Schröder R, Laros JFJ, van Oven M, de Bakker PIW, Bovenberg JA, van Duijn CM, van Ommen GJB, Slagboom PE, Swertz MA, Wijmenga C, Kayser M, Boomsma DI, Zöllner S, de Knijff P, Stoneking M. Transmission of human mtDNA heteroplasmy in the Genome of the Netherlands families: support for a variable-size bottleneck. Genome Res 2016; 26:417-26. [PMID: 26916109 PMCID: PMC4817766 DOI: 10.1101/gr.203216.115] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 01/21/2016] [Indexed: 12/17/2022]
Abstract
Although previous studies have documented a bottleneck in the transmission of mtDNA genomes from mothers to offspring, several aspects remain unclear, including the size and nature of the bottleneck. Here, we analyze the dynamics of mtDNA heteroplasmy transmission in the Genomes of the Netherlands (GoNL) data, which consists of complete mtDNA genome sequences from 228 trios, eight dizygotic (DZ) twin quartets, and 10 monozygotic (MZ) twin quartets. Using a minor allele frequency (MAF) threshold of 2%, we identified 189 heteroplasmies in the trio mothers, of which 59% were transmitted to offspring, and 159 heteroplasmies in the trio offspring, of which 70% were inherited from the mothers. MZ twin pairs exhibited greater similarity in MAF at heteroplasmic sites than DZ twin pairs, suggesting that the heteroplasmy MAF in the oocyte is the major determinant of the heteroplasmy MAF in the offspring. We used a likelihood method to estimate the effective number of mtDNA genomes transmitted to offspring under different bottleneck models; a variable bottleneck size model provided the best fit to the data, with an estimated mean of nine individual mtDNA genomes transmitted. We also found evidence for negative selection during transmission against novel heteroplasmies (in which the minor allele has never been observed in polymorphism data). These novel heteroplasmies are enhanced for tRNA and rRNA genes, and mutations associated with mtDNA diseases frequently occur in these genes. Our results thus suggest that the female germ line is able to recognize and select against deleterious heteroplasmies.
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Affiliation(s)
- Mingkun Li
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany; Fondation Mérieux, 69002 Lyon, France
| | - Rebecca Rothwell
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Martijn Vermaat
- Leiden Genome Technology Center, Department of Human Genetics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Manja Wachsmuth
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Roland Schröder
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Jeroen F J Laros
- Leiden Genome Technology Center, Department of Human Genetics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Mannis van Oven
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, The Netherlands
| | - Paul I W de Bakker
- Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht 3584 CG, The Netherlands; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht 3584 CG, The Netherlands
| | - Jasper A Bovenberg
- Department of Biological Psychology, VU University Amsterdam, Amsterdam 1081 BT, The Netherlands
| | - Cornelia M van Duijn
- Legal Pathways Institute for Health and Bio Law, Aerdenhout 2111, The Netherlands
| | - Gert-Jan B van Ommen
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, The Netherlands
| | - P Eline Slagboom
- Department of Human Genetics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Morris A Swertz
- Section of Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, The Netherlands
| | - Cisca Wijmenga
- Section of Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, The Netherlands
| | | | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam 3000 CA, The Netherlands
| | - Dorret I Boomsma
- Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, The Netherlands
| | - Sebastian Zöllner
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Psychiatry, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Peter de Knijff
- Department of Human Genetics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
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Smith PM, Elson JL, Greaves LC, Wortmann SB, Rodenburg RJT, Lightowlers RN, Chrzanowska-Lightowlers ZMA, Taylor RW, Vila-Sanjurjo A. The role of the mitochondrial ribosome in human disease: searching for mutations in 12S mitochondrial rRNA with high disruptive potential. Hum Mol Genet 2013; 23:949-67. [PMID: 24092330 PMCID: PMC3900107 DOI: 10.1093/hmg/ddt490] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Mutations of mitochondrial DNA are linked to many human diseases. Despite the identification of a large number of variants in the mitochondrially encoded rRNA (mt-rRNA) genes, the evidence supporting their pathogenicity is, at best, circumstantial. Establishing the pathogenicity of these variations is of major diagnostic importance. Here, we aim to estimate the disruptive effect of mt-rRNA variations on the function of the mitochondrial ribosome. In the absence of direct biochemical methods to study the effect of mt-rRNA variations, we relied on the universal conservation of the rRNA fold to infer their disruptive potential. Our method, named heterologous inferential analysis or HIA, combines conservational information with functional and structural data obtained from heterologous ribosomal sources. Thus, HIA's predictive power is superior to the traditional reliance on simple conservation indexes. By using HIA, we have been able to evaluate the disruptive potential for a subset of uncharacterized 12S mt-rRNA variations. Our analysis revealed the existence of variations in the rRNA component of the human mitoribosome with different degrees of disruptive power. In cases where sufficient information regarding the genetic and pathological manifestation of the mitochondrial phenotype is available, HIA data can be used to predict the pathogenicity of mt-rRNA mutations. In other cases, HIA analysis will allow the prioritization of variants for additional investigation. Eventually, HIA-inspired analysis of potentially pathogenic mt-rRNA variations, in the context of a scoring system specifically designed for these variants, could lead to a powerful diagnostic tool.
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Affiliation(s)
- Paul M Smith
- Institute of Medical Sciences, Ninewells Hospital and Medical School, Dundee University, Dundee DD1 9SY, Scotland, UK
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