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Wen T, Zhao S, Stingele J, Ravanat JL, Greenberg MM. Quantification of Intracellular DNA-Protein Cross-Links with N7-Methyl-2'-Deoxyguanosine and Their Contribution to Cytotoxicity. Chem Res Toxicol 2024; 37:814-823. [PMID: 38652696 PMCID: PMC11105979 DOI: 10.1021/acs.chemrestox.4c00076] [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] [Indexed: 04/25/2024]
Abstract
The major product of DNA-methylating agents, N7-methyl-2'-deoxyguanosine (MdG), is a persistent lesion in vivo, but it is not believed to have a large direct physiological impact. However, MdG reacts with histone proteins to form reversible DNA-protein cross-links (DPCMdG), a family of DNA lesions that can significantly threaten cell survival. In this paper, we developed a tandem mass spectrometry method for quantifying the amounts of MdG and DPCMdG in nuclear DNA by taking advantage of their chemical lability and the concurrent release of N7-methylguanine. Using this method, we determined that DPCMdG is formed in less than 1% yield based upon the levels of MdG in methyl methanesulfonate (MMS)-treated HeLa cells. Despite its low chemical yield, DPCMdG contributes to MMS cytotoxicity. Consequently, cells that lack efficient DPC repair by the DPC protease SPRTN are hypersensitive to MMS. This investigation shows that the downstream chemical and biochemical effects of initially formed DNA damage can have significant biological consequences. With respect to MdG formation, the initial DNA lesion is only the beginning.
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Affiliation(s)
- Tingyu Wen
- Department of Chemistry, Johns Hopkins University, 3400 N. Charles St., Baltimore, Maryland 21218, United States
| | - Shubo Zhao
- Gene Center and Department of Biochemistry, Ludwig-Maximilians-Universität München, 81377 Munich, Germany
| | - Julian Stingele
- Gene Center and Department of Biochemistry, Ludwig-Maximilians-Universität München, 81377 Munich, Germany
| | - Jean-Luc Ravanat
- Univ. Grenoble Alpes, CEA, CNRS, Grenoble INP, IRIG, SyMMES, 38000 Grenoble, France
| | - Marc M Greenberg
- Department of Chemistry, Johns Hopkins University, 3400 N. Charles St., Baltimore, Maryland 21218, United States
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Botezatu A, Vladoiu S, Fudulu A, Albulescu A, Plesa A, Muresan A, Stancu C, Iancu IV, Diaconu CC, Velicu A, Popa OM, Badiu C, Dinu-Draganescu D. Advanced molecular approaches in male infertility diagnosis. Biol Reprod 2022; 107:684-704. [PMID: 35594455 DOI: 10.1093/biolre/ioac105] [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: 12/30/2021] [Revised: 04/29/2022] [Accepted: 05/11/2022] [Indexed: 11/13/2022] Open
Abstract
In the recent years a special attention has been given to a major health concern namely to male infertility, defined as the inability to conceive after 12 months of regular unprotected sexual intercourse, taken into account the statistics that highlight that sperm counts have dropped by 50-60% in recent decades. According to the WHO, infertility affects approximately 9% of couples globally, and the male factor is believed to be present in roughly 50% of cases, with exclusive responsibility in 30%. The aim of this manuscript is to present an evidence-based approach for diagnosing male infertility that includes finding new solutions for diagnosis and critical outcomes, retrieving up-to-date studies and existing guidelines. The diverse factors that induce male infertility generated in a vast amount of data that needed to be analysed by a clinician before a decision could be made for each individual. Modern medicine faces numerous obstacles as a result of the massive amount of data generated by the molecular biology discipline. To address complex clinical problems, vast data must be collected, analysed, and used, which can be very challenging. The use of artificial intelligence (AI) methods to create a decision support system can help predict the diagnosis and guide treatment for infertile men, based on analysis of different data as environmental and lifestyle, clinical (sperm count, morphology, hormone testing, karyotype, etc.) and "omics" bigdata. Ultimately, the development of AI algorithms will assist clinicians in formulating diagnosis, making treatment decisions, and predicting outcomes for assisted reproduction techniques.
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Affiliation(s)
- A Botezatu
- "Stefan S. Nicolau" Institute of Virology, Bucharest, Romania
| | - S Vladoiu
- "CI Parhon" National Institute of Endocrinology, Bucharest, Romania
| | - A Fudulu
- "Stefan S. Nicolau" Institute of Virology, Bucharest, Romania
| | - A Albulescu
- "Stefan S. Nicolau" Institute of Virology, Bucharest, Romania.,National Institute for Chemical pharmaceutical Research & Development
| | - A Plesa
- "Stefan S. Nicolau" Institute of Virology, Bucharest, Romania
| | - A Muresan
- "CI Parhon" National Institute of Endocrinology, Bucharest, Romania
| | - C Stancu
- "CI Parhon" National Institute of Endocrinology, Bucharest, Romania
| | - I V Iancu
- "Stefan S. Nicolau" Institute of Virology, Bucharest, Romania
| | - C C Diaconu
- "Stefan S. Nicolau" Institute of Virology, Bucharest, Romania
| | - A Velicu
- "CI Parhon" National Institute of Endocrinology, Bucharest, Romania
| | - O M Popa
- "CI Parhon" National Institute of Endocrinology, Bucharest, Romania
| | - C Badiu
- "CI Parhon" National Institute of Endocrinology, Bucharest, Romania.,"Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
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Rotondo JC, Lanzillotti C, Mazziotta C, Tognon M, Martini F. Epigenetics of Male Infertility: The Role of DNA Methylation. Front Cell Dev Biol 2021; 9:689624. [PMID: 34368137 PMCID: PMC8339558 DOI: 10.3389/fcell.2021.689624] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 06/17/2021] [Indexed: 12/18/2022] Open
Abstract
In recent years, a number of studies focused on the role of epigenetics, including DNA methylation, in spermatogenesis and male infertility. We aimed to provide an overview of the knowledge concerning the gene and genome methylation and its regulation during spermatogenesis, specifically in the context of male infertility etiopathogenesis. Overall, the findings support the hypothesis that sperm DNA methylation is associated with sperm alterations and infertility. Several genes have been found to be differentially methylated in relation to impaired spermatogenesis and/or reproductive dysfunction. Particularly, DNA methylation defects of MEST and H19 within imprinted genes and MTHFR within non-imprinted genes have been repeatedly linked with male infertility. A deep knowledge of sperm DNA methylation status in association with reduced reproductive potential could improve the development of novel diagnostic tools for this disease. Further studies are needed to better elucidate the mechanisms affecting methylation in sperm and their impact on male infertility.
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Affiliation(s)
- John Charles Rotondo
- Laboratories of Cell Biology and Molecular Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Carmen Lanzillotti
- Laboratories of Cell Biology and Molecular Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Chiara Mazziotta
- Laboratories of Cell Biology and Molecular Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Mauro Tognon
- Laboratories of Cell Biology and Molecular Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Fernanda Martini
- Laboratories of Cell Biology and Molecular Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
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