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Schoch K, Ruegg MSG, Fellows BJ, Cao J, Uhrig S, Einsele-Scholz S, Biskup S, Hawarden SRA, Salpietro V, Capra V, Brown CM, Accogli A, Shashi V, Bicknell LS. A second hotspot for pathogenic exon-skipping variants in CDC45. Eur J Hum Genet 2024; 32:786-794. [PMID: 38467731 PMCID: PMC11219862 DOI: 10.1038/s41431-024-01583-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 02/13/2024] [Accepted: 02/26/2024] [Indexed: 03/13/2024] Open
Abstract
Biallelic pathogenic variants in CDC45 are associated with Meier-Gorlin syndrome with craniosynostosis (MGORS type 7), which also includes short stature and absent/hypoplastic patellae. Identified variants act through a hypomorphic loss of function mechanism, to reduce CDC45 activity and impact DNA replication initiation. In addition to missense and premature termination variants, several pathogenic synonymous variants have been identified, most of which cause increased exon skipping of exon 4, which encodes an essential part of the RecJ-orthologue's DHH domain. Here we have identified a second cohort of families segregating CDC45 variants, where patients have craniosynostosis and a reduction in height, alongside common facial dysmorphisms, including thin eyebrows, consistent with MGORS7. Skipping of exon 15 is a consequence of two different variants, including a shared synonymous variant that is enriched in individuals of East Asian ancestry, while other variants in trans are predicted to alter key intramolecular interactions in α/β domain II, or cause retention of an intron within the 3'UTR. Our cohort and functional data confirm exon skipping is a relatively common pathogenic mechanism in CDC45, and highlights the need for alternative splicing events, such as exon skipping, to be especially considered for variants initially predicted to be less likely to cause the phenotype, particularly synonymous variants.
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Affiliation(s)
- Kelly Schoch
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Mischa S G Ruegg
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Bridget J Fellows
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Joseph Cao
- Division of Pediatric Radiology, Department of Radiology Duke University School of Medicine, Durham, NC, USA
| | - Sabine Uhrig
- Institute of Clinical Genetics, Klinikum Stuttgart, Stuttgart, Germany
| | | | - Saskia Biskup
- Center for Human Genetics Tuebingen and CeGaT GmbH, Tuebingen, Germany
| | - Samuel R A Hawarden
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Vincenzo Salpietro
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Valeria Capra
- Genomics and Clinical Genetics, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Chris M Brown
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Andrea Accogli
- Department of Specialized Medicine, Division of Medical Genetics, McGill University Health Centre, Montreal, QC, Canada
- Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Vandana Shashi
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Louise S Bicknell
- Department of Biochemistry, University of Otago, Dunedin, New Zealand.
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Rudrabhatla PK, Divya KP, Fasaludeen A, Menon RN, Cherian A, Urulangodi M, Sundaram S. Generalized Stiffness in Hereditary Hyperekplexia Responsive to Trihexyphenidyl: A Novel Finding. Clin Pediatr (Phila) 2024; 63:885-888. [PMID: 37899614 DOI: 10.1177/00099228231203300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Affiliation(s)
- Pavan Kumar Rudrabhatla
- R Madhavan Nayar Centre for Comprehensive Epilepsy Care, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - K P Divya
- Comprehensive Care Centre for Movement Disorders, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Alfiya Fasaludeen
- Pediatric Neurology and Neurodevelopmental Disorders, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Ramshekhar N Menon
- Pediatric Neurology and Neurodevelopmental Disorders, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Ajith Cherian
- R Madhavan Nayar Centre for Comprehensive Epilepsy Care, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Madhusoodanan Urulangodi
- Department of Biochemistry, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Soumya Sundaram
- Pediatric Neurology and Neurodevelopmental Disorders, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
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3
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Kasten A, Cascorbi I. Understanding the impact of ABCG2 polymorphisms on drug pharmacokinetics: focus on rosuvastatin and allopurinol. Expert Opin Drug Metab Toxicol 2024; 20:519-528. [PMID: 38809523 DOI: 10.1080/17425255.2024.2362184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 05/28/2024] [Indexed: 05/30/2024]
Abstract
INTRODUCTION In addition to the well-established understanding of the pharmacogenetics of drug-metabolizing enzymes, there is growing data on the effects of genetic variation in drug transporters, particularly ATP-binding cassette (ABC) transporters. However, the evidence that these genetic variants can be used to predict drug effects and to adjust individual dosing to avoid adverse events is still limited. AREAS COVERED This review presents a summary of the current literature from the PubMed database as of February 2024 regarding the impact of genetic variants on ABCG2 function and their relevance to the clinical use of the HMG-CoA reductase inhibitor rosuvastatin and the xanthine oxidase inhibitor allopurinol. EXPERT OPINION Although there are pharmacogenetic guidelines for the ABCG2 missense variant Q141K, there is still some conflicting data regarding the clinical benefits of these recommendations. Some caution appears to be warranted in homozygous ABCG2 Q141K carriers when rosuvastatin is administered at higher doses and such information is already included in the drug label. The benefit of dose adaption to lower possible side effects needs to be evaluated in prospective clinical studies.
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Affiliation(s)
- Anne Kasten
- Institute of Experimental and Clinical Pharmacology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Ingolf Cascorbi
- Institute of Experimental and Clinical Pharmacology, University Hospital Schleswig-Holstein, Kiel, Germany
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4
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Alganmi N, Bashanfar A, Alotaibi R, Banjar H, Karim S, Mirza Z, Abusamra H, Al-Attas M, Turkistany S, Abuzenadah A. Uncovering hidden genetic risk factors for breast and ovarian cancers in BRCA-negative women: a machine learning approach in the Saudi population. PeerJ Comput Sci 2024; 10:e1942. [PMID: 38660159 PMCID: PMC11042021 DOI: 10.7717/peerj-cs.1942] [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: 12/06/2023] [Accepted: 02/26/2024] [Indexed: 04/26/2024]
Abstract
Breast and ovarian cancers are prevalent worldwide, with genetic factors such as BRCA1 and BRCA2 mutations playing a significant role. However, not all patients carry these mutations, making it challenging to identify risk factors. Researchers have turned to whole exome sequencing (WES) as a tool to identify genetic risk factors in BRCA-negative women. WES allows the sequencing of all protein-coding regions of an individual's genome, providing a comprehensive analysis that surpasses traditional gene-by-gene sequencing methods. This technology offers efficiency, cost-effectiveness and the potential to identify new genetic variants contributing to the susceptibility to the diseases. Interpreting WES data for disease-causing variants is challenging due to its complex nature. Machine learning techniques can uncover hidden genetic-variant patterns associated with cancer susceptibility. In this study, we used the extreme gradient boosting (XGBoost) and random forest (RF) algorithms to identify BRCA-related cancer high-risk genes specifically in the Saudi population. The experimental results exposed that the RF method scored superior performance with an accuracy of 88.16% and an area under the receiver-operator characteristic curve of 0.95. Using bioinformatics analysis tools, we explored the top features of the high-accuracy machine learning model that we built to enhance our knowledge of genetic interactions and find complex genetic patterns connected to the development of BRCA-related cancers. We were able to identify the significance of HLA gene variations in these WES datasets for BRCA-related patients. We find that immune response mechanisms play a major role in the development of BRCA-related cancer. It specifically highlights genes associated with antigen processing and presentation, such as HLA-B, HLA-A and HLA-DRB1 and their possible effects on tumour progression and immune evasion. In summary, by utilizing machine learning approaches, we have the potential to aid in the development of precision medicine approaches for early detection and personalized treatment strategies.
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Affiliation(s)
- Nofe Alganmi
- Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
- Centre of Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Arwa Bashanfar
- Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Reem Alotaibi
- Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Haneen Banjar
- Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
- Centre of Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Sajjad Karim
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Lab Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Zeenat Mirza
- Department of Medical Lab Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- King Fahd Medical Research Center, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Heba Abusamra
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Manal Al-Attas
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Shereen Turkistany
- Center of Innovation Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Adel Abuzenadah
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Lab Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
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5
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Mello AC, Leao D, Dias L, Colombelli F, Recamonde-Mendoza M, Turchetto-Zolet AC, Matte U. Broken silence: 22,841 predicted deleterious synonymous variants identified in the human exome through computational analysis. Genet Mol Biol 2024; 46:e20230125. [PMID: 38259032 PMCID: PMC10804382 DOI: 10.1590/1678-4685-gmb-2023-0125] [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: 05/03/2023] [Accepted: 12/10/2023] [Indexed: 01/24/2024] Open
Abstract
Synonymous single nucleotide variants (sSNVs) do not alter the primary structure of a protein, thus it was previously accepted that they were neutral. Recently, several studies demonstrated their significance to a range of diseases. Still, variant prioritization strategies lack focus on sSNVs. Here, we identified 22,841 deleterious synonymous variants in 125,748 human exomes using two in silico predictors (SilVA and CADD). While 98.2% of synonymous variants are classified as neutral, 1.8% are predicted to be deleterious, yielding an average of 9.82 neutral and 0.18 deleterious sSNVs per exome. Further investigation of prediction features via Heterogeneous Ensemble Feature Selection revealed that impact on amino acid sequence and conservation carry the most weight for a deleterious prediction. Thirty nine detrimental sSNVs are not rare and are located on disease associated genes. Ten distinct putatively non-deleterious sSNVs are likely to be under positive selection in the North-Western European and East Asian populations. Taken together our analysis gives voice to the so-called silent mutations as we propose a robust framework for evaluating the deleteriousness of sSNVs in variant prioritization studies.
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Affiliation(s)
- Ana Carolina Mello
- Hospital de Clínicas de Porto Alegre, Núcleo de Bioinformática,
Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa
Experimental, Laboratório de Células, Tecidos e Genes, Porto Alegre, RS,
Brazil
- Universidade Federal do Rio Grande do Sul, Programa de
Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
| | - Delva Leao
- Universidade Federal do Rio Grande do Sul, Programa de
Pós-Graduação em Ciências Biológicas: Bioquímica, Porto Alegre, RS, Brazil
| | - Luis Dias
- Hospital de Clínicas de Porto Alegre, Núcleo de Bioinformática,
Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa
Experimental, Laboratório de Células, Tecidos e Genes, Porto Alegre, RS,
Brazil
| | - Felipe Colombelli
- Hospital de Clínicas de Porto Alegre, Núcleo de Bioinformática,
Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Instituto de
Informática, Porto Alegre, RS, Brazil
| | - Mariana Recamonde-Mendoza
- Hospital de Clínicas de Porto Alegre, Núcleo de Bioinformática,
Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Instituto de
Informática, Porto Alegre, RS, Brazil
| | - Andreia Carina Turchetto-Zolet
- Universidade Federal do Rio Grande do Sul, Programa de
Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Universidade Federal do Rio Grande do Sul, Departamento de
Genética, Porto Alegre, RS, Brazil
| | - Ursula Matte
- Hospital de Clínicas de Porto Alegre, Núcleo de Bioinformática,
Porto Alegre, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Centro de Pesquisa
Experimental, Laboratório de Células, Tecidos e Genes, Porto Alegre, RS,
Brazil
- Universidade Federal do Rio Grande do Sul, Departamento de
Genética, Porto Alegre, RS, Brazil
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6
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Gomari MM, Arab SS, Balalaie S, Ramezanpour S, Hosseini A, Dokholyan NV, Tarighi P. Rational peptide design for targeting cancer cell invasion. Proteins 2024; 92:76-95. [PMID: 37646459 DOI: 10.1002/prot.26580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/01/2023] [Accepted: 08/03/2023] [Indexed: 09/01/2023]
Abstract
Cell invasion is an important process in cancer progression and recurrence. Invasion and implantation of cancer cells from their original place to other tissues, by disabling vital organs, challenges the treatment of cancer patients. Given the importance of the matter, many molecular treatments have been developed to inhibit cancer cell invasion. Because of their low production cost and ease of production, peptides are valuable therapeutic molecules for inhibiting cancer cell invasion. In recent years, advances in the field of computational biology have facilitated the design of anti-cancer peptides. In our investigation, using computational biology approaches such as evolutionary analysis, residue scanning, protein-peptide interaction analysis, molecular dynamics, and free energy analysis, our team designed a peptide library with about 100 000 candidates based on A6 (acetyl-KPSSPPEE-amino) sequence which is an anti-invasion peptide. During computational studies, two of the designed peptides that give the highest scores and showed the greatest sequence similarity to A6 were entered into the experimental analysis workflow for further analysis. In experimental analysis steps, the anti-metastatic potency and other therapeutic effects of designed peptides were evaluated using MTT assay, RT-qPCR, zymography analysis, and invasion assay. Our study disclosed that the IK1 (acetyl-RPSFPPEE-amino) peptide, like A6, has great potency to inhibit the invasion of cancer cells.
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Affiliation(s)
- Mohammad Mahmoudi Gomari
- Department of Medical Biotechnology, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Seyed Shahriar Arab
- Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Saeed Balalaie
- Peptide Chemistry Research Institute, K. N. Toosi University of Technology, Tehran, Iran
| | - Sorour Ramezanpour
- Department of Chemistry, K. N. Toosi University of Technology, Tehran, Iran
| | - Arshad Hosseini
- Department of Medical Biotechnology, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Nikolay V Dokholyan
- Department of Pharmacology, Department of Biochemistry & Molecular Biology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Parastoo Tarighi
- Department of Medical Biotechnology, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran
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7
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Molica C, Gili A, Nardelli C, Pierini T, Arniani S, Beacci D, Mavridou E, Mandarano M, Corinaldesi R, Metro G, Gorello P, Giovenali P, Cenci N, Castrioto C, Lupattelli M, Roila F, Mecucci C, La Starza R. Optimizing the risk stratification of astrocytic tumors by applying the cIMPACT-NOW Update 3 signature: real-word single center experience. Sci Rep 2023; 13:20101. [PMID: 37973912 PMCID: PMC10654668 DOI: 10.1038/s41598-023-46701-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023] Open
Abstract
Our work reports implementation of a useful genetic diagnosis for the clinical managment of patients with astrocytic tumors. We investigated 313 prospectively recruited diffuse astrocytic tumours by applying the cIMPACT-NOW Update 3 signature. The cIMPACT-NOW Update 3 (cIMPACT-NOW 3) markers, i.e., alterations of TERT promoter, EGFR, and/or chromosome 7 and 10, characterized 96.4% of IDHwt cases. Interestingly, it was also found in 48,5% of IDHmut cases. According to the genomic profile, four genetic subgroups could be distinguished: (1) IDwt/cIMPACT-NOW 3 (n = 270); (2) IDHwt/cIMPACT-NOW 3 negative (= 10); (3) IDHmut/cIMPACT-NOW 3 (n = 16); and 4) IDHmut/cIMPACT-NOW 3 negative (n = 17). Multivariate analysis confirmed that IDH1/2 mutations confer a favorable prognosis (IDHwt, HR 2.91 95% CI 1.39-6.06), and validated the prognostic value of the cIMPACT-NOW 3 signature (cIMPACT-NOW 3, HR 2.15 95% CI 1.15-4.03). To accurately identify relevant prognostic categories, overcoming the limitations of histopathology and immunohistochemistry, molecular-cytogenetic analyses must be fully integrated into the diagnostic work-up of astrocytic tumors.
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Affiliation(s)
- Carmen Molica
- Medical Oncology, S. Maria Della Misericordia Hospital, Piazzale Giorgio Menghini 8/9, 06132, Perugia, Italy
| | - Alessio Gili
- Public Health Section, Department of Experimental Medicine, University of Perugia, Perugia, Italy
| | - Carlotta Nardelli
- Molecular Medicine Laboratory, Centro di Ricerche Emato-Oncologiche (C.R.E.O.), S. Maria Della Misericordia Hospital, University of Perugia, Piazzale Menghini 9, 06132, Perugia, Italy
| | - Tiziana Pierini
- Molecular Medicine Laboratory, Centro di Ricerche Emato-Oncologiche (C.R.E.O.), S. Maria Della Misericordia Hospital, University of Perugia, Piazzale Menghini 9, 06132, Perugia, Italy
| | - Silvia Arniani
- Molecular Medicine Laboratory, Centro di Ricerche Emato-Oncologiche (C.R.E.O.), S. Maria Della Misericordia Hospital, University of Perugia, Piazzale Menghini 9, 06132, Perugia, Italy
| | - Donatella Beacci
- Molecular Medicine Laboratory, Centro di Ricerche Emato-Oncologiche (C.R.E.O.), S. Maria Della Misericordia Hospital, University of Perugia, Piazzale Menghini 9, 06132, Perugia, Italy
| | - Elena Mavridou
- Molecular Medicine Laboratory, Centro di Ricerche Emato-Oncologiche (C.R.E.O.), S. Maria Della Misericordia Hospital, University of Perugia, Piazzale Menghini 9, 06132, Perugia, Italy
| | - Martina Mandarano
- Diagnostic Cytology and Histology Unit, S. Maria Della Misericordia Hospital, Piazzale Giorgio Menghini 8/9, 06132, Perugia, Italy
| | - Rodolfo Corinaldesi
- Division of Neurosurgery, S. Maria Della Misericordia Hospital, Piazzale Giorgio Menghini 8/9, 06132, Perugia, Italy
| | - Giulio Metro
- Medical Oncology, S. Maria Della Misericordia Hospital, Piazzale Giorgio Menghini 8/9, 06132, Perugia, Italy
| | - Paolo Gorello
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100, Perugia, Italy
| | - Paolo Giovenali
- Diagnostic Cytology and Histology Unit, S. Maria Della Misericordia Hospital, Piazzale Giorgio Menghini 8/9, 06132, Perugia, Italy
| | - Nunzia Cenci
- Division of Neurosurgery, S. Maria Della Misericordia Hospital, Piazzale Giorgio Menghini 8/9, 06132, Perugia, Italy
| | - Corrado Castrioto
- Division of Neurosurgery, S. Maria Della Misericordia Hospital, Piazzale Giorgio Menghini 8/9, 06132, Perugia, Italy
| | - Marco Lupattelli
- Division of Radiotherapy, S. Maria Della Misericordia Hospital, Piazzale Giorgio Menghini 8/9, 06132, Perugia, Italy
| | - Fausto Roila
- Medical Oncology, S. Maria Della Misericordia Hospital, Piazzale Giorgio Menghini 8/9, 06132, Perugia, Italy
| | - Cristina Mecucci
- Molecular Medicine Laboratory, Centro di Ricerche Emato-Oncologiche (C.R.E.O.), S. Maria Della Misericordia Hospital, University of Perugia, Piazzale Menghini 9, 06132, Perugia, Italy
| | - Roberta La Starza
- Molecular Medicine Laboratory, Centro di Ricerche Emato-Oncologiche (C.R.E.O.), S. Maria Della Misericordia Hospital, University of Perugia, Piazzale Menghini 9, 06132, Perugia, Italy.
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8
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Blanco-Arias P, Medina Martínez I, Arrabal Fernández L, Rivas Infante E, Salmerón Fernández MJ, González Hervás C, Azcón González de Aguilar P, Armengol L, Pedrinaci S, Perin F. Severe congenital X-linked myopathy with excessive autophagy secondary to an apparently synonymous but pathogenic novel variant. Neuromuscul Disord 2023; 33:557-561. [PMID: 37329680 DOI: 10.1016/j.nmd.2023.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/19/2023]
Abstract
X-linked myopathy with excessive autophagy is a rare inherited disease characterized by aberrant accumulation of autophagic vacuoles in skeletal muscle. Affected males usually show a slow progression and the heart is characteristically spared. We present four male patients from the same family with an extremely aggressive form of this disease, requiring permanent mechanical ventilation from birth. Ambulation was never achieved. Three died, one in the first hour of life, one at 7 years and one at 17 years, the last death being a consequence of heart failure. Muscle biopsy showed pathognomonic features of the disease in the 4 affected males. Genetic study found a novel synonymous variant in VMA21, c.294C>T (Gly98=). Genotyping was consistent with co-segregation with the phenotype in an X-linked recessive manner. An alteration of the normal splice pattern was confirmed by transcriptome analysis, proving that the apparently synonymous variant was the cause of this extremely severe phenotype.
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Affiliation(s)
| | | | | | - Eloy Rivas Infante
- Anatomical Pathology Department, Virgen del Rocío University Hospital, Sevilla, Spain
| | | | | | | | - Lluis Armengol
- Quantitative Genomic Medicine Laboratories SL, "qGenomics", Esplugues de Llobregat, Barcelona, Spain
| | - Susana Pedrinaci
- Genetic Department, Virgen de las Nieves and San Cecilio University Hospitals, Granada, Spain
| | - Francesca Perin
- Pediatric Cardiology Department, Hospital Universitario Virgen de las Nieves University Hospital, Granada 18014, Spain.
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Vihinen M. Nonsynonymous Synonymous Variants Demand for a Paradigm Shift in Genetics. Curr Genomics 2023; 24:18-23. [PMID: 37920730 PMCID: PMC10334700 DOI: 10.2174/1389202924666230417101020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/20/2023] [Accepted: 03/01/2023] [Indexed: 11/04/2023] Open
Abstract
Synonymous (also known as silent) variations are by definition not considered to change the coded protein. Still many variations in this category affect either protein abundance or properties. As this situation is confusing, we have recently introduced systematics for synonymous variations and those that may on the surface look like synonymous, but these may affect the coded protein in various ways. A new category, unsense variation, was introduced to describe variants that do not introduce a stop codon into the variation site, but which lead to different types of changes in the coded protein. Many of these variations lead to mRNA degradation and missing protein. Here, consequences of the systematics are discussed from the perspectives of variation annotation and interpretation, evolutionary calculations, nonsynonymous-to-synonymous substitution rates, phylogenetics and other evolutionary inferences that are based on the principle of (nearly) neutral synonymous variations. It may be necessary to reassess published results. Further, databases for synonymous variations and prediction methods for such variations should consider unsense variations. Thus, there is a need to evaluate and reflect principles of numerous aspects in genetics, ranging from variation naming and classification to evolutionary calculations.
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Affiliation(s)
- Mauno Vihinen
- Department of Experimental Medical Science, Lund University, Lund, BMC B13, Sweden
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10
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Kramer RA, Zimmermann R, Strobel J, Achenbach S, Ströbel AM, Hackstein H, Messerer DAC, Schneider S. An Exploratory Study Using Next-Generation Sequencing to Identify Prothrombotic Variants in Patients with Cerebral Vein Thrombosis. Int J Mol Sci 2023; 24:ijms24097976. [PMID: 37175682 PMCID: PMC10178986 DOI: 10.3390/ijms24097976] [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: 04/12/2023] [Accepted: 04/26/2023] [Indexed: 05/15/2023] Open
Abstract
Prothrombotic hereditary risk factors for cerebral vein thrombosis (CVT) are of clinical interest to better understand the underlying pathophysiology and stratify patients for the risk of recurrence. This study explores prothrombotic risk factors in CVT patients. An initial screening in patients of the outpatient clinic of the Department of Transfusion Medicine and Hemostaseology of the University Hospital Erlangen, Germany, revealed 183 patients with a history of CVT. An initial screening identified a number of common prothrombic risk factors, including Factor V Leiden (rs6025) and Prothrombin G20210A (rs1799963). All patients without relevant findings (58 individuals) were invited to participate in a subsequent genetic analysis of 55 relevant genes using next-generation sequencing (NGS). Three intron variants (ADAMTS13: rs28446901, FN1: rs56380797, rs35343655) were identified to occur with a significantly higher frequency in the CVT patient cohort compared to the general European population. Furthermore, the combined prevalence of at least two of four potentially prothrombic variants (FGA (rs6050), F13A1 (rs5985), ITGB3 (rs5918), and PROCR (rs867186)) was significantly higher in the CVT subjects. The possible impact of the identified variants on CVT is discussed.
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Affiliation(s)
- Robert Anton Kramer
- Department of Transfusion Medicine and Hemostaseology, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany
| | - Robert Zimmermann
- Department of Transfusion Medicine and Hemostaseology, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany
| | - Julian Strobel
- Department of Transfusion Medicine and Hemostaseology, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany
| | - Susanne Achenbach
- Department of Transfusion Medicine and Hemostaseology, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany
| | - Armin Michael Ströbel
- Center for Clinical Studies (CCS), Medical Faculty, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany
| | - Holger Hackstein
- Department of Transfusion Medicine and Hemostaseology, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany
| | - David Alexander Christian Messerer
- Department of Transfusion Medicine and Hemostaseology, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany
| | - Sabine Schneider
- Department of Transfusion Medicine and Hemostaseology, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany
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Comparison of Phenotype and Genotype Virulence and Antimicrobial Factors of Salmonella Typhimurium Isolated from Human Milk. Int J Mol Sci 2023; 24:ijms24065135. [PMID: 36982209 PMCID: PMC10048834 DOI: 10.3390/ijms24065135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/03/2023] [Accepted: 03/04/2023] [Indexed: 03/11/2023] Open
Abstract
Salmonella is a common foodborne infection. Many serovars belonging to Salmonella enterica subsp. enterica are present in the gut of various animal species. They can cause infection in human infants via breast milk or cross-contamination with powdered milk. In the present study, Salmonella BO was isolated from human milk in accordance with ISO 6579-1:2017 standards and sequenced using whole-genome sequencing (WGS), followed by serosequencing and genotyping. The results also allowed its pathogenicity to be predicted. The WGS results were compared with the bacterial phenotype. The isolated strain was found to be Salmonella enterica subsp. enterica serovar Typhimurium 4:i:1,2_69M (S. Typhimurium 69M); it showed a very close similarity to S. enterica subsp. enterica serovar Typhimurium LT2. Bioinformatics sequence analysis detected eleven SPIs (SPI-1, SPI-2, SPI-3, SPI-4, SPI-5, SPI-9, SPI-12, SPI-13, SPI-14, C63PI, CS54_island). Significant changes in gene sequences were noted, causing frameshift mutations in yeiG, rfbP, fumA, yeaL, ybeU (insertion) and lpfD, avrA, ratB, yacH (deletion). The sequences of several proteins were significantly different from those coded in the reference genome; their three-dimensional structure was predicted and compared with reference proteins. Our findings indicate the presence of a number of antimicrobial resistance genes that do not directly imply an antibiotic resistance phenotype.
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Mortazavi M, Torkzadeh-Mahani M, Rahimi M, Maleki M, Lotfi S, Riahi-Madvar A. Effects of synonymous mutations on kinetic properties and structure of firefly luciferase: Molecular dynamics simulation, molecular docking, RNA folding, and experimental study. Int J Biol Macromol 2023; 235:123835. [PMID: 36870640 DOI: 10.1016/j.ijbiomac.2023.123835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/19/2023] [Accepted: 02/21/2023] [Indexed: 03/06/2023]
Abstract
Although synonymous mutations have long been thought to lack striking results, a growing body of research shows these mutations have highly variable effects. In this study, the impact of synonymous mutations in the development of thermostable luciferase was investigated using a combination of experimental and theoretical approaches. Using bioinformatics analysis, the codon usage features in the Lampyridae family's luciferases were studied and four synonymous mutations of Arg in luciferase were created. An exciting result was that the analysis of kinetic parameters showed a slight increase in the thermal stability of the mutant luciferase. AutoDock Vina, %MinMax algorithm, and UNAFold Server were used to perform molecular docking, folding rate, and RNA folding, respectively. Here, it was assumed that in the region (Arg337) with a moderate propensity for coil, synonymous mutation altered the rate of translation, which in turn may lead to a slight change in the structure of the enzyme. According to the molecular dynamics simulation data, local minor global flexibility is observed in the context of the protein conformation. A plausible explanation is that this flexibility may strengthen hydrophobic interactions due to its sensitivity to a molecular collision. Accordingly, thermostability originated mainly from hydrophobic interaction.
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Affiliation(s)
- Mojtaba Mortazavi
- Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman 7631885356, Iran.
| | - Masoud Torkzadeh-Mahani
- Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman 7631885356, Iran
| | - Mehdi Rahimi
- Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman 7631885356, Iran
| | - Mahmood Maleki
- Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman 7631885356, Iran
| | - Safa Lotfi
- Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman 7631885356, Iran
| | - Ali Riahi-Madvar
- Department of Molecular and Cell Biology, Faculty of Basic Sciences, Kosar University of Bojnord, Bojnord, Iran
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Vihinen M. Systematic errors in annotations of truncations, loss-of-function and synonymous variants. Front Genet 2023; 14:1015017. [PMID: 36713076 PMCID: PMC9880313 DOI: 10.3389/fgene.2023.1015017] [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: 08/09/2022] [Accepted: 01/03/2023] [Indexed: 01/15/2023] Open
Abstract
Description of genetic phenomena and variations requires exact language and concepts. Vast amounts of variation data are produced with next-generation sequencing pipelines. The obtained variations are automatically annotated, e.g., for their functional consequences. These tools and pipelines, along with systematic nomenclature, mainly work well, but there are still some problems in nomenclature, organization of some databases, misuse of concepts and certain practices. Therefore, systematic errors prevent correct annotation and often preclude further analysis of certain variation types. Problems and solutions are described for presumed protein truncations, variants that are claimed to be of loss-of-function based on the type of variation, and synonymous variants that are not synonymous and lead to sequence changes or to missing protein.
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Narawatthana S, Phansenee Y, Thammasamisorn BO, Vejchasarn P. Multi-model genome-wide association studies of leaf anatomical traits and vein architecture in rice. FRONTIERS IN PLANT SCIENCE 2023; 14:1107718. [PMID: 37123816 PMCID: PMC10130391 DOI: 10.3389/fpls.2023.1107718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 03/20/2023] [Indexed: 05/03/2023]
Abstract
Introduction The anatomy of rice leaves is closely related to photosynthesis and grain yield. Therefore, exploring insight into the quantitative trait loci (QTLs) and alleles related to rice flag leaf anatomical and vein traits is vital for rice improvement. Methods Here, we aimed to explore the genetic architecture of eight flag leaf traits using one single-locus model; mixed-linear model (MLM), and two multi-locus models; fixed and random model circulating probability unification (FarmCPU) and Bayesian information and linkage disequilibrium iteratively nested keyway (BLINK). We performed multi-model GWAS using 329 rice accessions of RDP1 with 700K single-nucleotide polymorphisms (SNPs) markers. Results The phenotypic correlation results indicated that rice flag leaf thickness was strongly correlated with leaf mesophyll cells layer (ML) and thickness of both major and minor veins. All three models were able to identify several significant loci associated with the traits. MLM identified three non-synonymous SNPs near NARROW LEAF 1 (NAL1) in association with ML and the distance between minor veins (IVD) traits. Discussion Several numbers of significant SNPs associated with known gene function in leaf development and yield traits were detected by multi-model GWAS performed in this study. Our findings indicate that flag leaf traits could be improved via molecular breeding and can be one of the targets in high-yield rice development.
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Affiliation(s)
- Supatthra Narawatthana
- Rice Department, Thailand Rice Science Institute, Ministry of Agriculture and Cooperatives (MOAC), Suphan Buri, Thailand
- *Correspondence: Supatthra Narawatthana,
| | - Yotwarit Phansenee
- Ubon Ratchathani Rice Research Center, Rice Department, Ministry of Agriculture and Cooperatives (MOAC), Ubon Ratchathani, Thailand
| | - Bang-On Thammasamisorn
- Rice Department, Thailand Rice Science Institute, Ministry of Agriculture and Cooperatives (MOAC), Suphan Buri, Thailand
| | - Phanchita Vejchasarn
- Ubon Ratchathani Rice Research Center, Rice Department, Ministry of Agriculture and Cooperatives (MOAC), Ubon Ratchathani, Thailand
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Vihinen M. Individual Genetic Heterogeneity. Genes (Basel) 2022; 13:genes13091626. [PMID: 36140794 PMCID: PMC9498725 DOI: 10.3390/genes13091626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 08/25/2022] [Accepted: 09/08/2022] [Indexed: 11/28/2022] Open
Abstract
Genetic variation has been widely covered in literature, however, not from the perspective of an individual in any species. Here, a synthesis of genetic concepts and variations relevant for individual genetic constitution is provided. All the different levels of genetic information and variation are covered, ranging from whether an organism is unmixed or hybrid, has variations in genome, chromosomes, and more locally in DNA regions, to epigenetic variants or alterations in selfish genetic elements. Genetic constitution and heterogeneity of microbiota are highly relevant for health and wellbeing of an individual. Mutation rates vary widely for variation types, e.g., due to the sequence context. Genetic information guides numerous aspects in organisms. Types of inheritance, whether Mendelian or non-Mendelian, zygosity, sexual reproduction, and sex determination are covered. Functions of DNA and functional effects of variations are introduced, along with mechanism that reduce and modulate functional effects, including TARAR countermeasures and intraindividual genetic conflict. TARAR countermeasures for tolerance, avoidance, repair, attenuation, and resistance are essential for life, integrity of genetic information, and gene expression. The genetic composition, effects of variations, and their expression are considered also in diseases and personalized medicine. The text synthesizes knowledge and insight on individual genetic heterogeneity and organizes and systematizes the central concepts.
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Affiliation(s)
- Mauno Vihinen
- Department of Experimental Medical Science, BMC B13, Lund University, SE-22184 Lund, Sweden
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