1
|
Nahalka J. 1-L Transcription of SARS-CoV-2 Spike Protein S1 Subunit. Int J Mol Sci 2024; 25:4440. [PMID: 38674024 PMCID: PMC11049929 DOI: 10.3390/ijms25084440] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/10/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
The COVID-19 pandemic prompted rapid research on SARS-CoV-2 pathogenicity. Consequently, new data can be used to advance the molecular understanding of SARS-CoV-2 infection. The present bioinformatics study discusses the "spikeopathy" at the molecular level and focuses on the possible post-transcriptional regulation of the SARS-CoV-2 spike protein S1 subunit in the host cell/tissue. A theoretical protein-RNA recognition code was used to check the compatibility of the SARS-CoV-2 spike protein S1 subunit with mRNAs in the human transcriptome (1-L transcription). The principle for this method is elucidated on the defined RNA binding protein GEMIN5 (gem nuclear organelle-associated protein 5) and RNU2-1 (U2 spliceosomal RNA). Using the method described here, it was shown that 45% of the genes/proteins identified by 1-L transcription of the SARS-CoV-2 spike protein S1 subunit are directly linked to COVID-19, 39% are indirectly linked to COVID-19, and 16% cannot currently be associated with COVID-19. The identified genes/proteins are associated with stroke, diabetes, and cardiac injury.
Collapse
Affiliation(s)
- Jozef Nahalka
- Institute of Chemistry, Centre for Glycomics, Slovak Academy of Sciences, Dubravska Cesta 9, SK-84538 Bratislava, Slovakia;
- Institute of Chemistry, Centre of Excellence for White-Green Biotechnology, Slovak Academy of Sciences, Trieda Andreja Hlinku 2, SK-94976 Nitra, Slovakia
| |
Collapse
|
2
|
Liu Y, Gairola R, Kuiper JR, Papandonatos GD, Kelsey KT, Langevin SM, Buckley JP, Chen A, Lanphear BP, Cecil KM, Yolton K, Braun JM. Lifetime Postnatal Exposure to Perfluoroalkyl Substance Mixture and DNA Methylation at Twelve Years of Age. ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS 2023; 10:824-830. [PMID: 39831111 PMCID: PMC11741666 DOI: 10.1021/acs.estlett.3c00410] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
Per- and polyfluoroalkyl substance (PFAS) exposure has been linked to DNA methylation changes in neonates and adults. We previously reported that prenatal PFAS exposure may have a durable impact on DNA methylation from birth to adolescence. However, few studies have examined the association of postnatal PFAS exposure with alterations in DNA methylation. We examined the associations of lifetime postnatal PFAS mixture exposure with leukocyte DNA methylation in 154 adolescents from the HOME Study (2003-2006; Cincinnati, Ohio). Lifetime postnatal PFAS mixture exposure was estimated using latent profile analysis of four PFAS concentrations measured at birth, and ages 3, 8, and 12 years. We measured DNA methylation in peripheral leukocytes at 12 years using the Illumina HumanMethylation EPIC BeadChip. We estimated covariate-adjusted associations between postnatal PFAS mixture concentrations and DNA methylation measures using linear regression, and used KEGG enrichment analysis to identify molecular pathways. Four significant differentially methylated positions were observed in the higher vs. lower PFAS profile (FDR p-value <0.05). These PFAS-associated CpG sites annotated to gene regions related to various cancers, cognition, and cardiometabolic health. We identified 17 pathways (FDR p-value <0.05), which indicates possible mechanism linking PFAS exposure to several health effects.
Collapse
Affiliation(s)
- Yun Liu
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, 02903, USA
| | - Richa Gairola
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, 02903, USA
| | - Jordan R. Kuiper
- Department of Environmental and Occupational Health, George Washington University Milken Institute School of Public Health, Washington, D.C., 20037, USA
| | - George D. Papandonatos
- Department of Biostatistics, Brown University School of Public Health, Providence, RI, 02903, USA
| | - Karl T. Kelsey
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, 02903, USA
- Department of Laboratory Medicine & Pathology, Brown University, Providence, RI, 02903, USA
| | - Scott M. Langevin
- Department of Environmental & Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
| | - Jessie P. Buckley
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Bruce P. Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
| | - Kim M. Cecil
- Department of Environmental & Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
| | - Kimberly Yolton
- Department of Environmental & Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
| | - Joseph M. Braun
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, 02903, USA
| |
Collapse
|