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Cloudy DC, Boone EL, Kuehnert K, Smith C, Cox JO, Seashols-Williams SJ, Green TD. Statistical methods for discrimination of STR genotypes using high resolution melt curve data. Int J Legal Med 2024:10.1007/s00414-024-03289-x. [PMID: 38997516 DOI: 10.1007/s00414-024-03289-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 07/03/2024] [Indexed: 07/14/2024]
Abstract
Despite the improvements in forensic DNA quantification methods that allow for the early detection of low template/challenged DNA samples, complicating stochastic effects are not revealed until the final stage of the DNA analysis workflow. An assay that would provide genotyping information at the earlier stage of quantification would allow examiners to make critical adjustments prior to STR amplification allowing for potentially exclusionary information to be immediately reported. Specifically, qPCR instruments often have dissociation curve and/or high-resolution melt curve (HRM) capabilities; this, coupled with statistical prediction analysis, could provide additional information regarding STR genotypes present. Thus, this study aimed to evaluate Qiagen's principal component analysis (PCA)-based ScreenClust® HRM® software and a linear discriminant analysis (LDA)-based technique for their abilities to accurately predict genotypes and similar groups of genotypes from HRM data. Melt curves from single source samples were generated from STR D5S818 and D18S51 amplicons using a Rotor-Gene® Q qPCR instrument and EvaGreen® intercalating dye. When used to predict D5S818 genotypes for unknown samples, LDA analysis outperformed the PCA-based method whether predictions were for individual genotypes (58.92% accuracy) or for geno-groups (81.00% accuracy). However, when a locus with increased heterogeneity was tested (D18S51), PCA-based prediction accuracy rates improved to rates similar to those obtained using LDA (45.10% and 63.46%, respectively). This study provides foundational data documenting the performance of prediction modeling for STR genotyping based on qPCR-HRM data. In order to expand the forensic applicability of this HRM assay, the method could be tested with a more commonly utilized qPCR platform.
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Affiliation(s)
- Darianne C Cloudy
- Department of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, PO Box 843079, Richmond, VA , 23284, USA
| | - Edward L Boone
- Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, 1015 Floyd Avenue, PO Box 843079, Richmond, VA, 23284, USA
| | - Kristi Kuehnert
- Department of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, PO Box 843079, Richmond, VA , 23284, USA
| | - Chastyn Smith
- Department of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, PO Box 843079, Richmond, VA , 23284, USA.
| | - Jordan O Cox
- Department of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, PO Box 843079, Richmond, VA , 23284, USA
| | - Sarah J Seashols-Williams
- Department of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, PO Box 843079, Richmond, VA , 23284, USA
| | - Tracey Dawson Green
- Department of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, PO Box 843079, Richmond, VA , 23284, USA
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2
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Yuen ZWS, Shanmuganandam S, Stanley M, Jiang S, Hein N, Daniel R, McNevin D, Jack C, Eyras E. Profiling age and body fluid DNA methylation markers using nanopore adaptive sampling. Forensic Sci Int Genet 2024; 71:103048. [PMID: 38640705 DOI: 10.1016/j.fsigen.2024.103048] [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: 12/11/2023] [Revised: 04/07/2024] [Accepted: 04/11/2024] [Indexed: 04/21/2024]
Abstract
DNA methylation plays essential roles in regulating physiological processes, from tissue and organ development to gene expression and aging processes and has emerged as a widely used biomarker for the identification of body fluids and age prediction. Currently, methylation markers are targeted independently at specific CpG sites as part of a multiplexed assay rather than through a unified assay. Methylation detection is also dependent on divergent methodologies, ranging from enzyme digestion and affinity enrichment to bisulfite treatment, alongside various technologies for high-throughput profiling, including microarray and sequencing. In this pilot study, we test the simultaneous identification of age-associated and body fluid-specific methylation markers using a single technology, nanopore adaptive sampling. This innovative approach enables the profiling of multiple CpG marker sites across entire gene regions from a single sample without the need for specialized DNA preparation or additional biochemical treatments. Our study demonstrates that adaptive sampling achieves sufficient coverage in regions of interest to accurately determine the methylation status, shows a robust consistency with whole-genome bisulfite sequencing data, and corroborates known CpG markers of age and body fluids. Our work also resulted in the identification of new sites strongly correlated with age, suggesting new possible age methylation markers. This study lays the groundwork for the systematic development of nanopore-based methodologies in both age prediction and body fluid identification, highlighting the feasibility and potential of nanopore adaptive sampling while acknowledging the need for further validation and expansion in future research.
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Affiliation(s)
- Zaka Wing-Sze Yuen
- EMBL Australia Partner Laboratory Network, John Curtin School of Medical Research, The Australian National University, Canberra, Australia; The Shine-Dalgarno Centre for RNA Innovation, John Curtin School of Medical Research, The Australian National University, Canberra, Australia; The Centre for Computational Biomedical Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, Australia
| | - Somasundhari Shanmuganandam
- Department of Immunity, Inflammation and Infection, The John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia; Centre for Personalised Immunology, NHMRC Centre for Research Excellence, Australian National University, Canberra, ACT 2601, Australia
| | - Maurice Stanley
- Department of Immunity, Inflammation and Infection, The John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia; Centre for Personalised Immunology, NHMRC Centre for Research Excellence, Australian National University, Canberra, ACT 2601, Australia
| | - Simon Jiang
- Department of Immunity, Inflammation and Infection, The John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia; Centre for Personalised Immunology, NHMRC Centre for Research Excellence, Australian National University, Canberra, ACT 2601, Australia; Department of Renal Medicine, The Canberra Hospital, Canberra, ACT 2605, Australia
| | - Nadine Hein
- ACRF Department of Cancer Biology and Therapeutics and Division of Genome Sciences and Cancer, John Curtin School of Medical Research, Australian National University, Acton, Canberra, Australia
| | - Runa Daniel
- Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology, Queensland, Australia
| | - Dennis McNevin
- Centre for Forensic Science, School of Mathematical & Physical Sciences, Faculty of Science, University of Technology Sydney, Sydney, Australia
| | - Cameron Jack
- ANU Bioinformatics Consultancy, John Curtin School of Medical Research, The Australian National University, Canberra, Australia
| | - Eduardo Eyras
- EMBL Australia Partner Laboratory Network, John Curtin School of Medical Research, The Australian National University, Canberra, Australia; The Shine-Dalgarno Centre for RNA Innovation, John Curtin School of Medical Research, The Australian National University, Canberra, Australia; The Centre for Computational Biomedical Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, Australia.
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3
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Smith C, Seashols-Williams SJ, Boone EL, Dawson Green T. An Assessment of the Performance Limitations of the Integrated Quantifiler TM Trio-HRM Assay: A Forensic Tool Designed to Identify Mixtures at the Quantification Stage. Genes (Basel) 2024; 15:768. [PMID: 38927704 PMCID: PMC11202460 DOI: 10.3390/genes15060768] [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: 05/16/2024] [Revised: 06/07/2024] [Accepted: 06/08/2024] [Indexed: 06/28/2024] Open
Abstract
Although guidelines exist for identifying mixtures, these measures often occur at the end-point of analysis and are protracted. To facilitate early mixture detection, we integrated a high-resolution melt (HRM) mixture screening assay into the qPCR step of the forensic workflow, producing the integrated QuantifilerTM Trio-HRM assay. The assay, when coupled with a prediction tool, allowed for 75.0% accurate identification of the contributor status of a sample (single source vs. mixture). To elucidate the limitations of the developed qPCR-HRM assay, developmental validation studies were conducted assessing the reproducibility and samples with varying DNA ratios, contributors, and quality. From this work, it was determined that the integrated QuantifilerTM Trio-HRM assay is capable of accurately identifying mixtures with up to five contributors and mixtures at ratios up to 1:100. Further, the optimal performance concentration range was found to be between 0.025 and 0.5 ng/µL. With these results, evidentiary-like DNA samples were then analyzed, resulting in 100.0% of the mixture samples being accurately identified; furthermore, every time a sample was predicted as a single source, it was true, giving confidence to any single-source calls. Overall, the integrated QuantifilerTM Trio-HRM assay has exhibited an enhanced ability to discern mixture samples from single-source samples at the qPCR stage under commonly observed conditions regardless of the contributor's sex.
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Affiliation(s)
- Chastyn Smith
- Integrative Life Sciences, Virginia Commonwealth University, 1000 Cary Street, Richmond, VA 23284, USA
- Department of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, Richmond, VA 23284, USA; (S.J.S.-W.); (T.D.G.)
| | - Sarah J. Seashols-Williams
- Department of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, Richmond, VA 23284, USA; (S.J.S.-W.); (T.D.G.)
| | - Edward L. Boone
- Department of Statistical Sciences & Operations Research, Virginia Commonwealth University, 1015 Floyd Avenue, Richmond, VA 23284, USA;
| | - Tracey Dawson Green
- Department of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, Richmond, VA 23284, USA; (S.J.S.-W.); (T.D.G.)
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4
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Gerra MC, Dallabona C, Cecchi R. Epigenetic analyses in forensic medicine: future and challenges. Int J Legal Med 2024; 138:701-719. [PMID: 38242965 PMCID: PMC11003920 DOI: 10.1007/s00414-024-03165-8] [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: 04/20/2023] [Accepted: 01/09/2024] [Indexed: 01/21/2024]
Abstract
The possibility of using epigenetics in forensic investigation has gradually risen over the last few years. Epigenetic changes with their dynamic nature can either be inherited or accumulated throughout a lifetime and be reversible, prompting investigation of their use across various fields. In forensic sciences, multiple applications have been proposed, such as the discrimination of monozygotic twins, identifying the source of a biological trace left at a crime scene, age prediction, determination of body fluids and tissues, human behavior association, wound healing progression, and determination of the post-mortem interval (PMI). Despite all these applications, not all the studies considered the impact of PMI and post-sampling effects on the epigenetic modifications and the tissue-specificity of the epigenetic marks.This review aims to highlight the substantial forensic significance that epigenetics could support in various forensic investigations. First, basic concepts in epigenetics, describing the main epigenetic modifications and their functions, in particular, DNA methylation, histone modifications, and non-coding RNA, with a particular focus on forensic applications, were covered. For each epigenetic marker, post-mortem stability and tissue-specificity, factors that should be carefully considered in the study of epigenetic biomarkers in the forensic context, have been discussed. The advantages and limitations of using post-mortem tissues have been also addressed, proposing directions for these innovative strategies to analyze forensic specimens.
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Affiliation(s)
- Maria Carla Gerra
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 11a, Viale Delle Scienze 11a, 43124, Parma, PR, Italy
| | - Cristina Dallabona
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 11a, Viale Delle Scienze 11a, 43124, Parma, PR, Italy.
| | - Rossana Cecchi
- Department of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126, Parma, PR, Italy
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5
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Ghemrawi M, Fernandez-Tejero N, Vaquero L, Wanna A, Carmel JH, McCord B. An examination of differences in epigenetic methylation of saliva type samples based on collection method. Electrophoresis 2024; 45:897-905. [PMID: 38385810 DOI: 10.1002/elps.202300240] [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: 10/21/2023] [Revised: 01/04/2024] [Accepted: 01/08/2024] [Indexed: 02/23/2024]
Abstract
In the context of forensic casework, it is imperative to both establish a DNA profile from biological specimens and accurately identify the specific bodily fluid source. To achieve this, DNA methylation markers have been developed for the differentiation of blood, semen, vaginal epithelial secretions, and saliva samples. Saliva, alternatively referred to as oral fluid, is recognized for its heterogeneous cellular composition, characterized by a mixture of epithelial, leukocytic, and bacterial cells. Consequently, our research has revealed variations in methylation percentages that correlate with the method employed for collecting saliva samples. To investigate these concepts, we scrutinized four CpG markers situated within or in proximity to the BCAS4, SLC12A8, SOX2OT, and FAM43A genes. Subsequently, we designed primers based on bioinformatically transformed reference sequences for these markers and rigorously assessed their quality by examining dimer and hairpin formation, melting temperature, and specificity. These loci were identified as saliva markers based on either buccal swabs or spit collection. Yet, there has been minimal or no research conducted to explore the variations in methylation between different collection methods. For this study, buccal, lip, tongue, spit, and nasal swabs were collected from 20 individuals (N = 100). Mock forensic samples, which include chewing gum (N = 10) and cigarettes (N = 10), were also tested. DNA was extracted, bisulfite converted, then amplified using in-house designed assays, and pyrosequenced. The methylation levels were compared to other body fluids (semen, blood, vaginal epithelia, and menstrual blood [N = 32]). A total of 608 pyrosequencing results demonstrated that sampling location and collection method can greatly influence the level of methylation, highlighting the importance of examining multiple collection/deposition methods for body fluids when developing epigenetic markers.
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Affiliation(s)
- Mirna Ghemrawi
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, USA
| | - Nicole Fernandez-Tejero
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, USA
| | - Lia Vaquero
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, USA
| | - Amani Wanna
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, USA
| | - Justin H Carmel
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, USA
| | - Bruce McCord
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, USA
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6
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Castagnola MJ, Medina-Paz F, Zapico SC. Uncovering Forensic Evidence: A Path to Age Estimation through DNA Methylation. Int J Mol Sci 2024; 25:4917. [PMID: 38732129 PMCID: PMC11084977 DOI: 10.3390/ijms25094917] [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] [Revised: 04/27/2024] [Accepted: 04/28/2024] [Indexed: 05/13/2024] Open
Abstract
Age estimation is a critical aspect of reconstructing a biological profile in forensic sciences. Diverse biochemical processes have been studied in their correlation with age, and the results have driven DNA methylation to the forefront as a promising biomarker. DNA methylation, an epigenetic modification, has been extensively studied in recent years for developing age estimation models in criminalistics and forensic anthropology. Epigenetic clocks, which analyze DNA sites undergoing hypermethylation or hypomethylation as individuals age, have paved the way for improved prediction models. A wide range of biomarkers and methods for DNA methylation analysis have been proposed, achieving different accuracies across samples and cell types. This review extensively explores literature from the past 5 years, showing scientific efforts toward the ultimate goal: applying age prediction models to assist in human identification.
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Affiliation(s)
- María Josefina Castagnola
- Department of Chemistry and Environmental Sciences, New Jersey Institute of Technology, Tiernan Hall 365, Newark, NJ 07102, USA; (M.J.C.); (F.M.-P.)
| | - Francisco Medina-Paz
- Department of Chemistry and Environmental Sciences, New Jersey Institute of Technology, Tiernan Hall 365, Newark, NJ 07102, USA; (M.J.C.); (F.M.-P.)
| | - Sara C. Zapico
- Department of Chemistry and Environmental Sciences, New Jersey Institute of Technology, Tiernan Hall 365, Newark, NJ 07102, USA; (M.J.C.); (F.M.-P.)
- Department of Anthropology and Laboratories of Analytical Biology, National Museum of Natural History, MRC 112, Smithsonian Institution, Washington, DC 20560, USA
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7
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Watanabe K, Yamagishi T, Toyomane K, Akutsu T. Validation of a novel fluorescent probe-based real-time PCR assay to detect saliva-specific unmethylated CpG sites for saliva identification. Leg Med (Tokyo) 2023; 63:102260. [PMID: 37094513 DOI: 10.1016/j.legalmed.2023.102260] [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: 02/08/2023] [Revised: 03/27/2023] [Accepted: 04/13/2023] [Indexed: 04/26/2023]
Abstract
The identification of saliva from forensic samples is often important to establish what happened at a crime scene, especially in sexual assault cases. Recently, CpG sites that are specifically methylated or unmethylated in saliva have been reported as markers for saliva identification. In this study, we designed a fluorescent probe-based real-time polymerase chain reaction (PCR) assay for analyzing the methylation status of two neighboring CpG sites, which we previously found were saliva-specifically unmethylated. Specificity analysis using various types of body fluid/tissue samples demonstrated a probe detecting the unmethylation of the two CpG sites reacted only to saliva DNA, indicating this probe as an all-or-nothing marker for the presence of saliva DNA. Sensitivity analysis demonstrated that the detection limit was 0.5 ng saliva DNA as input for bisulfite conversion, while we confirmed a negative effect of larger amounts of non-saliva DNA on sensitivity in the analysis of saliva-vaginal DNA mixtures. We finally validated the applicability of this test to swabs from licked skin and bottles after drinking as mock forensic samples in comparison with other saliva-specific markers. We confirmed the potential usefulness of this test for skin samples, from which a saliva-specific mRNA was not detected reliably, while the ingredients in several beverages might affect methylation analysis. Given the simplicity of real-time PCR as well as the high specificity and sensitivity of the test, we believe the developed method is suitable for routine forensic analysis and can play an important role in saliva identification.
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Affiliation(s)
- Ken Watanabe
- National Research Institute of Police Science, Chiba 277-0882, Japan.
| | | | - Kochi Toyomane
- National Research Institute of Police Science, Chiba 277-0882, Japan
| | - Tomoko Akutsu
- National Research Institute of Police Science, Chiba 277-0882, Japan
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Zhou H, Nie C, Tian W, Han X, Wang J, Du X, Wang Q, Zhu X, Xiang G, Zhao Y. Joint Effects Between CDKN2B/P15 Methylation and Environmental Factors on the Susceptibility to Gastric Cancer. Dig Dis Sci 2023:10.1007/s10620-023-07917-1. [PMID: 36961670 DOI: 10.1007/s10620-023-07917-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 11/14/2022] [Indexed: 03/25/2023]
Abstract
BACKGROUND The incidence of gastric cancer has long been at a high level in China, seriously affecting the health of Chinese people. AIMS This case‒control study was performed to identify gene methylation biomarkers of gastric cancer susceptibility. METHODS A total of 393 gastric cancer cases and 397 controls were included in this study. Gene methylation in peripheral blood leukocytes was detected by a methylation-sensitive high-resolution melting method, and the Helicobacter pylori antibody presence was semi-quantified in serum by ELISA. RESULTS Individuals with total methylation of CDKN2B/P15 had a 1.883-fold (95%CI: 1.166-3.040, P = 0.010) risk of gastric cancer compared with unmethylated individuals. Individuals with both CDKN2B/P15 and NEUROG1 methylation had a higher risk of gastric cancer (OR = 2.147, 95% CI: 1.137-4.073, P = 0.019). The interaction between CDKN2B/P15 and NEUROG1 total methylation on gastric cancer risk was affected by the pattern of adjustment. In addition, the joint effects between CDKN2B/P15 total methylation and environmental factors, such as freshwater fish intake (OR = 6.403, 95% CI = 2.970-13.802, P < 0.001), irregular diet (OR = 5.186, 95% CI = 2.559-10.510, P < 0.001), unsanitary water intake (OR = 2.238, 95% CI = 1.144-4.378, P = 0.019), smoking (OR = 2.421, 95% CI = 1.456-4.026, P = 0.001), alcohol consumption(OR = 2.163, 95% CI = 1.309-3.576, P = 0.003), and garlic intake(OR = 0.373, 95% CI = 0.196-0.709, P = 0.003) on GC risk were observed, respectively. However, CDKN2B/P15 and NEUROG1 total methylation were not associated with gastric cancer prognosis. CONCLUSION CDKN2B/P15 methylation in peripheral blood may be a potential biomarker for evaluating susceptibility to gastric cancer. The joint effects between CDKN2B/P15 methylation and environmental factors may also contribute to gastric cancer susceptibility.
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Affiliation(s)
- Haibo Zhou
- Department of Epidemiology, College of Public Health, Harbin Medical University, 197 Xuefu Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Chuang Nie
- Department of Epidemiology, College of Public Health, Harbin Medical University, 197 Xuefu Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Wenjing Tian
- Department of Epidemiology, College of Public Health, Harbin Medical University, 197 Xuefu Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Xu Han
- Department of Epidemiology, College of Public Health, Harbin Medical University, 197 Xuefu Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Jing Wang
- Department of Epidemiology, College of Public Health, Harbin Medical University, 197 Xuefu Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Xinyu Du
- Department of Epidemiology, College of Public Health, Harbin Medical University, 197 Xuefu Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Qi Wang
- Department of Epidemiology, College of Public Health, Harbin Medical University, 197 Xuefu Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Xiaojie Zhu
- Department of Epidemiology, College of Public Health, Harbin Medical University, 197 Xuefu Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Guanghui Xiang
- Department of Epidemiology, College of Public Health, Harbin Medical University, 197 Xuefu Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Yashuang Zhao
- Department of Epidemiology, College of Public Health, Harbin Medical University, 197 Xuefu Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
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da Silva Rodrigues G, Noronha NY, Almeida ML, Sobrinho ACDS, Watanabe LM, Pinhel MADS, de Lima JGR, Zhang R, Nonino CB, Alves CRR, Bueno Júnior CR. Exercise training modifies the whole blood DNA methylation profile in middle-aged and older women. J Appl Physiol (1985) 2023; 134:610-621. [PMID: 36701486 DOI: 10.1152/japplphysiol.00237.2022] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
This is a longitudinal single-arm clinical trial aimed to investigate whether exercise training would modify the whole blood methylation profile in healthy women. A total of 45 subjects were engaged in an exercise training protocol during a 14-wk follow up, consisting of aerobic cardiorespiratory and muscle strength exercises. Subjects were evaluated at baseline (PRE), after 7 wk of exercise training (POST 7), and after 14 wk of exercise training (POST 14). Functional primary outcomes included anthropometric, blood pressure, biochemical measurements, physical tests, and global health assessments. Blood samples were collected at each time point to determine the methylation profile using a DNA methylation array technique screening up to 850k different sites. Exercise training decreased blood pressure and triglyceride levels and enhanced physical performance, including upper- and lower-body maximum strength. Moreover, exercise training improved markers of quality of life. In the array analysis, 14 wk of exercise training changed the methylation of more than 800 sites. Across these differentially methylated sites, we found that differentially methylated sites in the promoter region were more hypermethylated after exercise training, suggesting that this hypermethylation process may affect the transcription process. When inputting the differentially methylated sites in pathway analysis, we found several metabolic pathways, including AMPK signaling, TGF-β signaling, and insulin signaling. This study demonstrates that exercise training promotes a robust change in the whole blood methylation profile and provides new insights into the key regulators of exercise-induced benefits.NEW & NOTEWORTHY We have shown that exercise training lowers blood pressure and triglyceride levels, improves physical performance, and improves quality of life in middle-aged and elderly women. Regarding epigenetic data, we noticed that more than 800 sites are differentially methylated in whole blood after physical training. We emphasize that the differentially methylated sites in the promoter region are more hypermethylated after physical training. In addition, this study shows that key members of metabolic pathways, including AMPK signaling, TGF-β signaling, and insulin signaling, are among the genes hypermethylated after physical exercise in older women.
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Affiliation(s)
| | - Natália Y Noronha
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Mariana L Almeida
- College of Nursing of Ribeirão Preto, University of São Paulo, São Paulo, Brazil
| | - Andressa C da S Sobrinho
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Lígia M Watanabe
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Marcela A de S Pinhel
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - João G R de Lima
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Ren Zhang
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States
| | - Carla B Nonino
- Health Sciences Department, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Christiano R R Alves
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States
| | - Carlos R Bueno Júnior
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil.,College of Nursing of Ribeirão Preto, University of São Paulo, São Paulo, Brazil.,School of Physical Education and Sport of Ribeirão Preto, University of Sao Paulo, Sao Paulo, Brazil
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10
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Fernandez-Tejero N, Gauthier Q, Cho S, McCord BR. High-resolution melt analysis for the detection of skin/sweat via DNA methylation. Electrophoresis 2023; 44:371-377. [PMID: 36480207 DOI: 10.1002/elps.202200120] [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: 05/05/2022] [Revised: 11/22/2022] [Accepted: 11/28/2022] [Indexed: 12/13/2022]
Abstract
The determination of tissue type is important when reconstructing a crime scene as skin cells may indicate innocent contact, whereas other types of cells, such as blood and semen, may indicate foul play. Up to now, there has been no specific DNA methylation-based marker to distinguish skin cell DNA from other body fluids. The goal of this study is to develop a DNA methylation-based assay to detect and identify skin cells collected at forensic crime scenes for use in DNA typing. For this reason, we have utilized a DNA methylation chip array-based genome-wide association study to identify skin-specific DNA methylation markers. DNA obtained from skin along with other body fluids, such as semen, saliva, blood, and vaginal epithelia, were tested using five genes that were identified as sites for potential new epigenetic skin markers. Samples were collected, bisulfite converted, and subjected to real-time polymerase chain reaction (PCR) with high-resolution melt analysis. In our studies, when using WDR11, PON2, and NHSL1 assays with bisulfite-modified PCR, skin/sweat amplicons melted at lower temperatures compared to blood, saliva, semen, and vaginal epithelia. One-way analysis of variance demonstrates that these three skin/sweat markers are significantly different when compared with other body fluids (p < 0.05). These results demonstrate that high-resolution melt analysis is a promising technology to detect and identify skin/sweat DNA from other body fluids.
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Affiliation(s)
- Nicole Fernandez-Tejero
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, USA
| | - Quentin Gauthier
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, USA
| | - Sohee Cho
- Institute of Forensic Science, Seoul National University College of Medicine, Seoul, South Korea
| | - Bruce R McCord
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, USA
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11
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Song M, Bai H, Zhang P, Zhou X, Ying B. Promising applications of human-derived saliva biomarker testing in clinical diagnostics. Int J Oral Sci 2023; 15:2. [PMID: 36596771 PMCID: PMC9810734 DOI: 10.1038/s41368-022-00209-w] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/23/2022] [Accepted: 11/03/2022] [Indexed: 01/05/2023] Open
Abstract
Saliva testing is a vital method for clinical applications, for its noninvasive features, richness in substances, and the huge amount. Due to its direct anatomical connection with oral, digestive, and endocrine systems, clinical usage of saliva testing for these diseases is promising. Furthermore, for other diseases that seeming to have no correlations with saliva, such as neurodegenerative diseases and psychological diseases, researchers also reckon saliva informative. Tremendous papers are being produced in this field. Updated summaries of recent literature give newcomers a shortcut to have a grasp of this topic. Here, we focused on recent research about saliva biomarkers that are derived from humans, not from other organisms. The review mostly addresses the proceedings from 2016 to 2022, to shed light on the promising usage of saliva testing in clinical diagnostics. We recap the recent advances following the category of different types of biomarkers, such as intracellular DNA, RNA, proteins and intercellular exosomes, cell-free DNA, to give a comprehensive impression of saliva biomarker testing.
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Affiliation(s)
- Mengyuan Song
- grid.13291.380000 0001 0807 1581Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Hao Bai
- grid.13291.380000 0001 0807 1581Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Ping Zhang
- grid.13291.380000 0001 0807 1581State Key Laboratory of Oral Diseases & Human Saliva Laboratory & National Clinical Research Center for Oral Diseases & West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Xuedong Zhou
- grid.13291.380000 0001 0807 1581State Key Laboratory of Oral Diseases & Human Saliva Laboratory & National Clinical Research Center for Oral Diseases & West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Binwu Ying
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
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12
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Abstract
This review paper covers the forensic-relevant literature in biological sciences from 2019 to 2022 as a part of the 20th INTERPOL International Forensic Science Managers Symposium. Topics reviewed include rapid DNA testing, using law enforcement DNA databases plus investigative genetic genealogy DNA databases along with privacy/ethical issues, forensic biology and body fluid identification, DNA extraction and typing methods, mixture interpretation involving probabilistic genotyping software (PGS), DNA transfer and activity-level evaluations, next-generation sequencing (NGS), DNA phenotyping, lineage markers (Y-chromosome, mitochondrial DNA, X-chromosome), new markers and approaches (microhaplotypes, proteomics, and microbial DNA), kinship analysis and human identification with disaster victim identification (DVI), and non-human DNA testing including wildlife forensics. Available books and review articles are summarized as well as 70 guidance documents to assist in quality control that were published in the past three years by various groups within the United States and around the world.
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13
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Ambroa-Conde A, Girón-Santamaría L, Mosquera-Miguel A, Phillips C, Casares de Cal M, Gómez-Tato A, Álvarez-Dios J, de la Puente M, Ruiz-Ramírez J, Lareu M, Freire-Aradas A. Epigenetic age estimation in saliva and in buccal cells. Forensic Sci Int Genet 2022; 61:102770. [DOI: 10.1016/j.fsigen.2022.102770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/22/2022] [Accepted: 08/24/2022] [Indexed: 11/04/2022]
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14
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Carratto TMT, Moraes VMS, Recalde TSF, Oliveira MLGD, Teixeira Mendes-Junior C. Applications of massively parallel sequencing in forensic genetics. Genet Mol Biol 2022; 45:e20220077. [PMID: 36121926 PMCID: PMC9514793 DOI: 10.1590/1678-4685-gmb-2022-0077] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 07/15/2022] [Indexed: 11/22/2022] Open
Abstract
Massively parallel sequencing, also referred to as next-generation sequencing, has positively changed DNA analysis, allowing further advances in genetics. Its capability of dealing with low quantity/damaged samples makes it an interesting instrument for forensics. The main advantage of MPS is the possibility of analyzing simultaneously thousands of genetic markers, generating high-resolution data. Its detailed sequence information allowed the discovery of variations in core forensic short tandem repeat loci, as well as the identification of previous unknown polymorphisms. Furthermore, different types of markers can be sequenced in a single run, enabling the emergence of DIP-STRs, SNP-STR haplotypes, and microhaplotypes, which can be very useful in mixture deconvolution cases. In addition, the multiplex analysis of different single nucleotide polymorphisms can provide valuable information about identity, biogeographic ancestry, paternity, or phenotype. DNA methylation patterns, mitochondrial DNA, mRNA, and microRNA profiling can also be analyzed for different purposes, such as age inference, maternal lineage analysis, body-fluid identification, and monozygotic twin discrimination. MPS technology also empowers the study of metagenomics, which analyzes genetic material from a microbial community to obtain information about individual identification, post-mortem interval estimation, geolocation inference, and substrate analysis. This review aims to discuss the main applications of MPS in forensic genetics.
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Affiliation(s)
- Thássia Mayra Telles Carratto
- Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Ribeirão Preto, SP, Brazil
| | - Vitor Matheus Soares Moraes
- Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Ribeirão Preto, SP, Brazil
| | | | | | - Celso Teixeira Mendes-Junior
- Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Ribeirão Preto, SP, Brazil
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15
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Abstract
The polymerase chain reaction (PCR) is used to copy DNA in vitro for a variety of applications including amplifying a target DNA, mutating a base, adding tags, and sequencing by synthesis applications. Next-generation sequencing (NGS) is a DNA sequencing technology that has been applied to screening cancer and tissue variants, deep sequencing, and gene expression analysis, and more recently, it has been applied to DNA typing for human identification, estimating age, and detecting and differentiating body fluids. Body fluids are normally identified using color tests, microscopy, and immunochromatographic assays. Pyrosequencing is an NGS approach that has been applied to body fluid analysis. The pyrosequencing assays can detect one or several mixed body fluids by analysis of their tissue-specific differentially methylated regions (tDMRs). Here, the process of designing pyrosequencing primers for forensic biology applications is described.
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Affiliation(s)
- Kelly M Elkins
- TU Human Remains Identification Laboratory (THRIL), Chemistry Department, Forensic Science Program, Towson University, Towson, MD, USA.
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16
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A collaborative exercise on DNA methylation-based age prediction and body fluid typing. Forensic Sci Int Genet 2021; 57:102656. [PMID: 34973557 DOI: 10.1016/j.fsigen.2021.102656] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 12/09/2021] [Accepted: 12/14/2021] [Indexed: 11/20/2022]
Abstract
DNA methylation has become one of the most useful biomarkers for age prediction and body fluid identification in the forensic field. Therefore, several assays have been developed to detect age-associated and body fluid-specific DNA methylation changes. Among the many methods developed, SNaPshot-based assays should be particularly useful in forensic laboratories, as they permit multiplex analysis and use the same capillary electrophoresis instrumentation as STR analysis. However, technical validation of any developed assays is crucial for their proper integration into routine forensic workflow. In the present collaborative exercise, two SNaPshot multiplex assays for age prediction and a SNaPshot multiplex for body fluid identification were tested in twelve laboratories. The experimental set-up of the exercise was designed to reflect the entire workflow of SNaPshot-based methylation analysis and involved four increasingly complex tasks designed to detect potential factors influencing methylation measurements. The results of body fluid identification from each laboratory provided sufficient information to determine appropriate age prediction methods in subsequent analysis. In age prediction, systematic measurement differences resulting from the type of genetic analyzer used were identified as the biggest cause of DNA methylation variation between laboratories. Also, the use of a buffer that ensures a high ratio of specific to non-specific primer binding resulted in changes in DNA methylation measurement, especially when using degenerate primers in the PCR reaction. In addition, high input volumes of bisulfite-converted DNA often caused PCR failure, presumably due to carry-over of PCR inhibitors from the bisulfite conversion reaction. The proficiency of the analysts and experimental conditions for efficient SNaPshot reactions were also important for consistent DNA methylation measurement. Several bisulfite conversion kits were used for this study, but differences resulting from the use of any specific kit were not clearly discerned. Even when different experimental settings were used in each laboratory, a positive outcome of the study was a mean absolute age prediction error amongst participant's data of only 2.7 years for semen, 5.0 years for blood and 3.8 years for saliva.
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Sijen T, Harbison S. On the Identification of Body Fluids and Tissues: A Crucial Link in the Investigation and Solution of Crime. Genes (Basel) 2021; 12:1728. [PMID: 34828334 PMCID: PMC8617621 DOI: 10.3390/genes12111728] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 10/26/2021] [Accepted: 10/26/2021] [Indexed: 12/13/2022] Open
Abstract
Body fluid and body tissue identification are important in forensic science as they can provide key evidence in a criminal investigation and may assist the court in reaching conclusions. Establishing a link between identifying the fluid or tissue and the DNA profile adds further weight to this evidence. Many forensic laboratories retain techniques for the identification of biological fluids that have been widely used for some time. More recently, many different biomarkers and technologies have been proposed for identification of body fluids and tissues of forensic relevance some of which are now used in forensic casework. Here, we summarize the role of body fluid/ tissue identification in the evaluation of forensic evidence, describe how such evidence is detected at the crime scene and in the laboratory, elaborate different technologies available to do this, and reflect real life experiences. We explain how, by including this information, crucial links can be made to aid in the investigation and solution of crime.
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Affiliation(s)
- Titia Sijen
- Division Human Biological Traces, Netherlands Forensic Institute, Laan van Ypenburg 6, 2497 GB The Hague, The Netherlands
- Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - SallyAnn Harbison
- Institute of Environmental Science and Research Limited, Private Bag 92021, Auckland 1142, New Zealand;
- Department of Statistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
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