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Cai X, Sun C, Zhong H, Cai Y, Cao M, Wang L, Sun W, Tao Y, Ma G, Huang B, Yan S, Zhong J, Wang J, Lu Y, Guan Y, Song M, Wang Y, Li Y, Su X. The value of metagenomic next-generation sequencing with different nucleic acid extracting methods of cell-free DNA or whole-cell DNA in the diagnosis of non-neutropenic pulmonary aspergillosis. Front Cell Infect Microbiol 2024; 14:1398190. [PMID: 39135636 PMCID: PMC11317373 DOI: 10.3389/fcimb.2024.1398190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Accepted: 07/09/2024] [Indexed: 08/15/2024] Open
Abstract
Purpose Metagenomic next-generation sequencing(mNGS) is a novel molecular diagnostic technique. For nucleic acid extraction methods, both whole-cell DNA (wcDNA) and cell-free DNA (cfDNA) are widely applied with the sample of bronchoalveolar lavage fluid (BALF). We aim to evaluate the clinical value of mNGS with cfDNA and mNGS with wcDNA for the detection of BALF pathogens in non-neutropenic pulmonary aspergillosis. Methods mNGS with BALF-cfDNA, BALF-wcDNA and conventional microbiological tests (CMTs) were performed in suspected non-neutropenic pulmonary aspergillosis. The diagnostic value of different assays for pulmonary aspergillosis was compared. Results BALF-mNGS (cfDNA, wcDNA) outperformed CMTs in terms of microorganisms detection. Receiver operating characteristic (ROC) analysis indicated BALF-mNGS (cfDNA, wcDNA) was superior to culture and BALF-GM. Combination diagnosis of either positive for BALF-mNGS (cfDNA, wcDNA) or CMTs is more sensitive than CMTs alone in the diagnosis of pulmonary aspergillosis (BALF-cfDNA+CMTs/BALF-wcDNA+CMTs vs. CMTs: ROC analysis: 0.813 vs.0.66, P=0.0142/0.796 vs.0.66, P=0.0244; Sensitivity: 89.47% vs. 47.37%, P=0.008/84.21% vs. 47.37%, P=0.016). BALF-cfDNA showed a significantly greater reads per million (RPM) than BALF-wcDNA. The area under the ROC curve (AUC) for RPM of Aspergillus detected by BALF-cfDNA, used to predict "True positive" pulmonary aspergillosis patients, was 0.779, with a cut-off value greater than 4.5. Conclusion We propose that the incorporation of BALF-mNGS (cfDNA, wcDNA) with CMTs improves diagnostic precision in the identification of non-neutropenic pulmonary aspergillosis when compared to CMTs alone. BALF-cfDNA outperforms BALF-wcDNA in clinical value.
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Affiliation(s)
- Xiaomin Cai
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Department of Respiratory and Critical Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Chao Sun
- Department of Respiratory and Critical Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Huanhuan Zhong
- Department of Respiratory and Critical Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Suzhou University, Suzhou, China
| | - Yuchen Cai
- Department of Respiratory and Critical Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Min Cao
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Li Wang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Wenkui Sun
- Department of Respiratory and Critical Care Medicine, Jiangsu Province Hospital, The First Affiliated of Nanjing Medical University, Nanjing, China
| | - Yujian Tao
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Guoer Ma
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Baoju Huang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Shengmei Yan
- Department of Respiratory and Critical Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Jinjin Zhong
- Department of Respiratory and Critical Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Jiamei Wang
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China
| | - Yajie Lu
- Department of Respiratory and Critical Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yuanlin Guan
- Department of Research and Development, Hugobiotech Co., Ltd., Beijing, China
| | - Mengyue Song
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Suzhou University, Suzhou, China
| | - Yujie Wang
- Department of Respiratory and Critical Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yuanyuan Li
- Department of Respiratory and Critical Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xin Su
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Department of Respiratory and Critical Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
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Abstract
This review delves into the rapidly evolving landscape of liquid biopsy technologies based on cell-free DNA (cfDNA) and cell-free RNA (cfRNA) and their increasingly prominent role in precision medicine. With the advent of high-throughput DNA sequencing, the use of cfDNA and cfRNA has revolutionized noninvasive clinical testing. Here, we explore the physical characteristics of cfDNA and cfRNA, present an overview of the essential engineering tools used by the field, and highlight clinical applications, including noninvasive prenatal testing, cancer testing, organ transplantation surveillance, and infectious disease testing. Finally, we discuss emerging technologies and the broadening scope of liquid biopsies to new areas of diagnostic medicine.
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Affiliation(s)
- Conor Loy
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA;
| | - Lauren Ahmann
- Department of Pathology, Stanford University, Stanford, California, USA;
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA;
| | - Wei Gu
- Department of Pathology, Stanford University, Stanford, California, USA;
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3
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Hu X, Zhang H, Wang Y, Lin Y, Li Q, Li L, Zeng G, Ou R, Cheng X, Zhang Y, Jin X. Effects of blood-processing protocols on cell-free DNA fragmentomics in plasma: Comparisons of one- and two-step centrifugations. Clin Chim Acta 2024; 560:119729. [PMID: 38754575 DOI: 10.1016/j.cca.2024.119729] [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: 03/29/2024] [Revised: 05/11/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND Cell-free DNA (cfDNA) fragmentomic characteristics are promising analytes with abundant physiological signals for non-invasive disease diagnosis and monitoring. Previous studies on plasma cfDNA fragmentomics commonly employed a two-step centrifugation process for removing cell debris, involving a low-speed centrifugation followed by a high-speed centrifugation. However, the effects of centrifugation conditions on the analysis of cfDNA fragmentome remain uncertain. METHODS We collected blood samples from 10 healthy individuals and divided each sample into two aliquots for plasma preparation with one- and two-step centrifugation processes. We performed whole genome sequencing (WGS) of the plasma cfDNA in the two groups and comprehensively compared the cfDNA fragmentomic features. Additionally, we reanalyzed the fragmentomic features of cfDNA from 16 healthy individuals and 16 COVID-19 patients, processed through one- and two-step centrifugation in our previous study, to investigate the impact of centrifugation on disease signals. RESULTS Our results showed that there were no significant differences observed in the characteristics of nuclear cfDNA, including size, motif diversity score (MDS) of end motifs, and genome distribution, between plasma samples treated with one- and two-step centrifugation. The cfDNA size shortening in COVID-19 patients was observed in plasma samples with one- and two-step centrifugation methods. However, we observed a significantly higher relative abundance and longer size of cell-free mitochondrial DNA (mtDNA) in the one-step samples compared to the two-step samples. This difference in mtDNA caused by the one- and two-step centrifugation methods surpasses the pathological difference between COVID-19 patients and healthy individuals. CONCLUSIONS Our findings indicate that one-step low-speed centrifugation is a simple and potentially suitable method for analyzing nuclear cfDNA fragmentation characteristics. These results offer valuable guidance for cfDNA research in various clinical scenarios.
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Affiliation(s)
- Xintao Hu
- Engineering Research Center of Text Computing & Cognitive Intelligence, Ministry of Education, Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550025, China; BGI Research, Shenzhen 518083, China
| | | | | | - Yu Lin
- BGI Research, Shenzhen 518083, China
| | - Qiuyan Li
- BGI Research, Shenzhen 518083, China
| | | | | | - Rijing Ou
- BGI Research, Shenzhen 518083, China
| | - Xinyu Cheng
- Engineering Research Center of Text Computing & Cognitive Intelligence, Ministry of Education, Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550025, China
| | - Yan Zhang
- BGI Research, Shenzhen 518083, China.
| | - Xin Jin
- BGI Research, Shenzhen 518083, China; School of Medicine, South China University of Technology, Guangzhou 510006, China.
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4
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Balasubramanian S, Richert ME, Kong H, Fu S, Jang MK, Andargie TE, Keller MB, Alnababteh M, Park W, Apalara Z, Sun J, Redekar N, Orens J, Aryal S, Bush EL, Cantu E, Diamond J, Shah P, Yu K, Nathan SD, Agbor-Enoh S. Cell-Free DNA Maps Tissue Injury and Correlates with Disease Severity in Lung Transplant Candidates. Am J Respir Crit Care Med 2024; 209:727-737. [PMID: 38117233 PMCID: PMC10945061 DOI: 10.1164/rccm.202306-1064oc] [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: 06/20/2023] [Accepted: 11/28/2023] [Indexed: 12/21/2023] Open
Abstract
Rationale: Plasma cell-free DNA levels correlate with disease severity in many conditions. Pretransplant cell-free DNA may risk stratify lung transplant candidates for post-transplant complications. Objectives: To evaluate if pretransplant cell-free DNA levels and tissue sources identify patients at high risk of primary graft dysfunction and other pre- and post-transplant outcomes. Methods: This multicenter, prospective cohort study recruited 186 lung transplant candidates. Pretransplant plasma samples were collected to measure cell-free DNA. Bisulfite sequencing was performed to identify the tissue sources of cell-free DNA. Multivariable regression models determined the association between cell-free DNA levels and the primary outcome of primary graft dysfunction and other transplant outcomes, including Lung Allocation Score, chronic lung allograft dysfunction, and death. Measurements and Main Results: Transplant candidates had twofold greater cell-free DNA levels than healthy control patients (median [interquartile range], 23.7 ng/ml [15.1-35.6] vs. 12.9 ng/ml [9.9-18.4]; P < 0.0001), primarily originating from inflammatory innate immune cells. Cell-free DNA levels and tissue sources differed by native lung disease category and correlated with the Lung Allocation Score (P < 0.001). High pretransplant cell-free DNA increased the risk of primary graft dysfunction (odds ratio, 1.60; 95% confidence interval [CI], 1.09-2.46; P = 0.0220), and death (hazard ratio, 1.43; 95% CI, 1.07-1.92; P = 0.0171) but not chronic lung allograft dysfunction (hazard ratio, 1.37; 95% CI, 0.97-1.94; P = 0.0767). Conclusions: Lung transplant candidates demonstrate a heightened degree of tissue injury with elevated cell-free DNA, primarily originating from innate immune cells. Pretransplant plasma cell-free DNA levels predict post-transplant complications.
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Affiliation(s)
- Shanti Balasubramanian
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
| | - Mary E. Richert
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
| | - Hyesik Kong
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Sheng Fu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Moon Kyoo Jang
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Temesgen E. Andargie
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Department of Biology, Howard University, Washington, District of Columbia
| | - Michael B. Keller
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Muhtadi Alnababteh
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
| | - Woojin Park
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Zainab Apalara
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Integrated Data Science Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Jian Sun
- Integrated Data Science Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Neelam Redekar
- Integrated Data Science Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Jonathan Orens
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Shambhu Aryal
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Advanced Lung Disease and Lung Transplant Program, Inova Fairfax Hospital, Fairfax, Virginia
| | - Errol L. Bush
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Surgery, The Johns Hopkins School of Medicine, Baltimore, Maryland; and
| | - Edward Cantu
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joshua Diamond
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Pali Shah
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Steven D. Nathan
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Advanced Lung Disease and Lung Transplant Program, Inova Fairfax Hospital, Fairfax, Virginia
| | - Sean Agbor-Enoh
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
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5
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McFaul M, Ventura C, Evans S, Dundar H, Rumpler MJ, McCloskey C, Lowe D, Vlassov AV. Urine exosome mRNA-based test for monitoring kidney allograft rejection: Effects of sample transportation and storage, and interference substances. World J Methodol 2023; 13:492-501. [PMID: 38229935 PMCID: PMC10789111 DOI: 10.5662/wjm.v13.i5.492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/07/2023] [Accepted: 10/23/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Exosomes are 30-150 nm nanovesicles with sophisticated nucleic acids cargo, actively secreted by all cells within human body, and found in abundance in all body fluids, including urine. These extracellular vesicles have tremendous potential for next generation diagnostics, theoretically enabling noninvasive assessment of organ and tissue function via liquid biopsy analysis. AIM Recently, feasibility of an exosomal molecular test was demonstrated for post-organ transplant monitoring: Analysis of urine-derived exosomal mRNA cargo allowed early detection of kidney allograft rejection. Here, we further studied urine-derived exosomes and their mRNA content as a highly promising diagnostic modality. This included stability studies of urine samples and exosomal mRNA upon transportation from the point of collection to a centralized testing facility, short-term storage of urine at different conditions upon receipt till the point molecular assay is performed, and effects of various potentially interfering substances on the downstream quantitative polymerase chain reaction (qPCR) assay. METHODS The urine specimens were stored at various conditions and pre-processed in different ways. Next, samples were passed through the columns to capture all extracellular vesicles, the vesicles were lysed to release their content and the exosomal RNA was purified on the mini-columns, reverse transcription was performed, next pre-amplification, followed by a qPCR analysis for a panel of mRNA markers. RESULTS To ensure exosomal RNA integrity, the harvested urine specimens should be shipped refrigerated, by overnight delivery. Urine can next be stored at the test site for up to 1 wk at 4 °C, and long term should be frozen at -80 °C. Urine specimens must be centrifuge at low G-force to deplete cells and debris, to ensure consistent top results in downstream molecular assays. All commonly used medications (tacrolimus, cyclosporin A, mycophenolic acid, everolimus, sirolimus, ascomycin, teriflunomide) were tested and confirmed that they do not cause assay interference. CONCLUSION mRNA from urine-derived exosomes was shown to be stable across a broad range of conditions and produced accurate results when analyzed via qPCR assay for detection of kidney allograft rejection. We identified the most optimal conditions for every step of the process, ensuring pre-analytical sample integrity and robust qPCR results.
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Affiliation(s)
- Matt McFaul
- Department of Research and Development, Thermo Fisher Scientific, West Hills, CA 91304, United States
| | - Chris Ventura
- Department of Research and Development, Thermo Fisher Scientific, West Hills, CA 91304, United States
| | - Sean Evans
- Department of Research and Development, Thermo Fisher Scientific, West Hills, CA 91304, United States
| | - Halil Dundar
- Department of Research and Development, Thermo Fisher Scientific, West Hills, CA 91304, United States
| | - Marc J Rumpler
- Department of Research and Development, Thermo Fisher Scientific, West Hills, CA 91304, United States
| | - Christopher McCloskey
- Department of Research and Development, Thermo Fisher Scientific, West Hills, CA 91304, United States
| | - Dave Lowe
- Department of Research and Development, Thermo Fisher Scientific, West Hills, CA 91304, United States
| | - Alexandre V Vlassov
- Department of Research and Development, Thermo Fisher Scientific, West Hills, CA 91304, United States
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6
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Budhraja KK, McDonald BR, Stephens MD, Contente-Cuomo T, Markus H, Farooq M, Favaro PF, Connor S, Byron SA, Egan JB, Ernst B, McDaniel TK, Sekulic A, Tran NL, Prados MD, Borad MJ, Berens ME, Pockaj BA, LoRusso PM, Bryce A, Trent JM, Murtaza M. Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer. Sci Transl Med 2023; 15:eabm6863. [PMID: 36630480 PMCID: PMC10080578 DOI: 10.1126/scitranslmed.abm6863] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 12/16/2022] [Indexed: 01/13/2023]
Abstract
Genome-wide fragmentation patterns in cell-free DNA (cfDNA) in plasma are strongly influenced by cellular origin due to variation in chromatin accessibility across cell types. Such differences between healthy and cancer cells provide the opportunity for development of novel cancer diagnostics. Here, we investigated whether analysis of cfDNA fragment end positions and their surrounding DNA sequences reveals the presence of tumor-derived DNA in blood. We performed genome-wide analysis of cfDNA from 521 samples and analyzed sequencing data from an additional 2147 samples, including healthy individuals and patients with 11 different cancer types. We developed a metric based on genome-wide differences in fragment positioning, weighted by fragment length and GC content [information-weighted fraction of aberrant fragments (iwFAF)]. We observed that iwFAF strongly correlated with tumor fraction, was higher for DNA fragments carrying somatic mutations, and was higher within genomic regions affected by copy number amplifications. We also calculated sample-level means of nucleotide frequencies observed at genomic positions spanning fragment ends. Using a combination of iwFAF and nine nucleotide frequencies from three positions surrounding fragment ends, we developed a machine learning model to differentiate healthy individuals from patients with cancer. We observed an area under the receiver operative characteristic curve (AUC) of 0.91 for detection of cancer at any stage and an AUC of 0.87 for detection of stage I cancer. Our findings remained robust with as few as 1 million fragments analyzed per sample, demonstrating that analysis of fragment ends can become a cost-effective and accessible approach for cancer detection and monitoring.
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Affiliation(s)
- Karan K. Budhraja
- Department of Surgery and Center for Human Genomics and Precision Medicine, University of Wisconsin–Madison; Madison, WI 53705, USA
| | - Bradon R. McDonald
- Department of Surgery and Center for Human Genomics and Precision Medicine, University of Wisconsin–Madison; Madison, WI 53705, USA
| | - Michelle D. Stephens
- Department of Surgery and Center for Human Genomics and Precision Medicine, University of Wisconsin–Madison; Madison, WI 53705, USA
| | | | - Havell Markus
- Pennsylvania State University, Hershey, PA 17033, USA
| | - Maria Farooq
- Department of Medicine, The University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Patricia F. Favaro
- Department of Surgery and Center for Human Genomics and Precision Medicine, University of Wisconsin–Madison; Madison, WI 53705, USA
| | - Sydney Connor
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218 USA
| | - Sara A. Byron
- Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | | | | | | | | | | | - Michael D. Prados
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | | | | | | | | | | | - Jeffrey M. Trent
- Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Muhammed Murtaza
- Department of Surgery and Center for Human Genomics and Precision Medicine, University of Wisconsin–Madison; Madison, WI 53705, USA
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7
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Zou W, Yaung SJ, Fuhlbrück F, Ballinger M, Peters E, Palma JF, Shames DS, Gandara D, Jiang Y, Patil NS. ctDNA Predicts Overall Survival in Patients With NSCLC Treated With PD-L1 Blockade or With Chemotherapy. JCO Precis Oncol 2022; 5:827-838. [PMID: 34994614 DOI: 10.1200/po.21.00057] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
PURPOSE Identification of predictors for overall survival (OS) allows timely detection of clinical efficacy signals and therefore facilitates treatment decisions. We assessed the association between circulating tumor DNA (ctDNA) metrics and the primary end point of OS in a subset of previously treated patients with locally advanced or metastatic non-small-cell lung cancer, who underwent atezolizumab or docetaxel treatment in the open-label randomized phase III OAK trial. MATERIALS AND METHODS Plasma from 94 patients at baseline and at subsequent cycles of therapy every 3 weeks was analyzed retrospectively for ctDNA. ctDNA was measured by allele frequency and mutant molecules per milliliter (MMPM). Concordance between various per-sample metrics and clinical outcome were assessed using C index. RESULTS Of all the ctDNA metrics tested, the association of median MMPM at 6 weeks with OS in patients treated with atezolizumab or docetaxel had a C index > 0.7. The OS hazard ratios relative to high ctDNA above median MMPM within each arm were 0.28 (95% CI, 0.11 to 0.75) for atezolizumab and 0.19 (95% CI, 0.08 to 0.48) for docetaxel. For patients who had ctDNA median MMPM levels of < 4.79, the median survival time was more than 17 months in docetaxel-treated patients and the median survival time was not reached in the atezolizumab-treated patients. CONCLUSION ctDNA MMPM levels measured at 6 weeks post-treatment are associated with OS in advanced non-small-cell lung cancer. Our results suggest that ctDNA has the potential for a noninvasive early liquid biopsy predictor for OS that warrants further studies to demonstrate its utility in clinical development.
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Affiliation(s)
- Wei Zou
- Genentech, South San Francisco, CA
| | | | | | | | | | | | | | | | - Yuqiu Jiang
- Roche Sequencing Solutions, Inc, Pleasanton, CA
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8
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Schobers G, Koeck R, Pellaers D, Stevens SJC, Macville MVE, Paulussen ADC, Coonen E, van den Wijngaard A, de Die-Smulders C, de Wert G, Brunner HG, Zamani Esteki M. Liquid biopsy: state of reproductive medicine and beyond. Hum Reprod 2021; 36:2824-2839. [PMID: 34562078 PMCID: PMC8523207 DOI: 10.1093/humrep/deab206] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 08/06/2021] [Indexed: 01/23/2023] Open
Abstract
Liquid biopsy is the process of sampling and analyzing body fluids, which enables non-invasive monitoring of complex biological systems in vivo. Liquid biopsy has myriad applications in health and disease as a wide variety of components, ranging from circulating cells to cell-free nucleic acid molecules, can be analyzed. Here, we review different components of liquid biopsy, survey state-of-the-art, non-invasive methods for detecting those components, demonstrate their clinical applications and discuss ethical considerations. Furthermore, we emphasize the importance of artificial intelligence in analyzing liquid biopsy data with the aim of developing ethically-responsible non-invasive technologies that can enhance individualized healthcare. While previous reviews have mainly focused on cancer, this review primarily highlights applications of liquid biopsy in reproductive medicine.
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Affiliation(s)
- Gaby Schobers
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rebekka Koeck
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Dominique Pellaers
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Servi J C Stevens
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Merryn V E Macville
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Aimée D C Paulussen
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Edith Coonen
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Center for Reproductive Medicine, Maastricht University Medical Centre+, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Arthur van den Wijngaard
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Christine de Die-Smulders
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Guido de Wert
- Faculty of Health, Medicine and Life Sciences, Department of Health, Ethics and Society, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Han G Brunner
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Masoud Zamani Esteki
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
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9
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Hisano O, Ito T, Miura F. Short single-stranded DNAs with putative non-canonical structures comprise a new class of plasma cell-free DNA. BMC Biol 2021; 19:225. [PMID: 34649537 PMCID: PMC8518174 DOI: 10.1186/s12915-021-01160-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 09/28/2021] [Indexed: 01/08/2023] Open
Abstract
Background Cell-free DNA (cfDNA), which is extracellular DNA present in the circulating plasma and other body fluids, is currently investigated as a minimally invasive, highly informative biomarker. While nucleosome-sized cfDNA fragments have been investigated intensively, shorter DNA fragments in the plasma have not been studied due to several technical limitations. Results We aimed to investigate the existence of shorter cfDNA fragments in the blood. Using an improved cfDNA purification protocol and a 3′-end-labeling method, we found DNA fragments of approximately 50 nucleotides in length in the human plasma, present at a molar concentration comparable to that of nucleosome-sized fragments. Unfortunately, these short fragments cannot be recovered by widely used cfDNA isolation methods. In addition, they are composed of single-stranded DNA (ssDNA), thus escaping detection in previous studies. Therefore, we established a library-preparation protocol based on our unique ssDNA ligation technique and applied it to the isolated cfDNA. Deep sequencing of these libraries revealed that the short fragments are derived from hundreds of thousands of genomic sites in open chromatin regions and enriched with transcription factor-binding sites. Remarkably, antisense strands of putative G-quadruplex motifs occupy as much as one-third of the peaks by these short fragments. Conclusions We propose a new class of plasma cfDNA composed of short single-stranded fragments that potentially form non-canonical DNA structures. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-021-01160-8.
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Affiliation(s)
- Osamu Hisano
- Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan
| | - Takashi Ito
- Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
| | - Fumihito Miura
- Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
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10
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Scott JP, Ragalie WS, Stamm KD, Mahnke DK, Liang HL, Simpson PM, Dasgupta M, Katz R, North PE, Tomita-Mitchell A, Zangwill SD, Kindel SJ, Mitchell ME. Total Cell-Free DNA Predicts Death and Infection Following Pediatric and Adult Heart Transplantation. Ann Thorac Surg 2021; 112:1282-1289. [DOI: 10.1016/j.athoracsur.2020.08.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 07/30/2020] [Accepted: 08/04/2020] [Indexed: 12/19/2022]
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11
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Blouin AG, Ye F, Williams J, Askar M. A practical guide to chimerism analysis: Review of the literature and testing practices worldwide. Hum Immunol 2021; 82:838-849. [PMID: 34404545 DOI: 10.1016/j.humimm.2021.07.013] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/30/2021] [Accepted: 07/26/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND PURPOSE Currently there are no widely accepted guidelines for chimerism analysis testing in hematopoietic cell transplantation (HCT) patients. The objective of this review is to provide a practical guide to address key aspects of performing and utilizing chimerism testing results. In developing this guide, we conducted a survey of testing practices among laboratories that are accredited for performing engraftment monitoring/chimerism analysis by either the American Society for Histocompatibility & Immunogenetics (ASHI) and/or the European Federation of Immunogenetics (EFI). We interpreted the survey results in the light of pertinent literature as well as the experience in the laboratories of the authors. RECENT DEVELOPMENTS In recent years there has been significant advances in high throughput molecular methods such as next generation sequencing (NGS) as well as growing access to these technologies in histocompatibility and immunogenetics laboratories. These methods have the potential to improve the performance of chimerism testing in terms of sensitivity, availability of informative genetic markers that distinguish donors from recipients as well as cost. SUMMARY The results of the survey revealed a great deal of heterogeneity in chimerism testing practices among participating laboratories. The most consistent response indicated monitoring of engraftment within the first 30 days. These responses are reflective of published literature. Additional clinical indications included early detection of impending relapse as well as identification of cases of HLA-loss relapse.
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Affiliation(s)
- Amanda G Blouin
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Fei Ye
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Jenifer Williams
- Department of Pathology & Laboratory Medicine, Baylor University Medical Center, Dallas, TX, United States
| | - Medhat Askar
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States; Department of Pathology & Laboratory Medicine, Baylor University Medical Center, Dallas, TX, United States; Department of Pathology and Laboratory Medicine, Texas A&M Health Science Center College of Medicine, United States.
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12
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Markus H, Zhao J, Contente-Cuomo T, Stephens MD, Raupach E, Odenheimer-Bergman A, Connor S, McDonald BR, Moore B, Hutchins E, McGilvrey M, de la Maza MC, Van Keuren-Jensen K, Pirrotte P, Goel A, Becerra C, Von Hoff DD, Celinski SA, Hingorani P, Murtaza M. Analysis of recurrently protected genomic regions in cell-free DNA found in urine. Sci Transl Med 2021; 13:13/581/eaaz3088. [PMID: 33597261 DOI: 10.1126/scitranslmed.aaz3088] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 07/16/2020] [Accepted: 01/28/2021] [Indexed: 12/12/2022]
Abstract
Cell-free DNA (cfDNA) in urine is a promising analyte for noninvasive diagnostics. However, urine cfDNA is highly fragmented. Whether characteristics of these fragments reflect underlying genomic architecture is unknown. Here, we characterized fragmentation patterns in urine cfDNA using whole-genome sequencing. Size distribution of urine cfDNA fragments showed multiple strong peaks between 40 and 120 base pairs (bp) with a modal size of 81- and sharp 10-bp periodicity, suggesting transient protection from complete degradation. These properties were robust to preanalytical perturbations, such as at-home collection and delay in processing. Genome-wide sequencing coverage of urine cfDNA fragments revealed recurrently protected regions (RPRs) conserved across individuals, with partial overlap with nucleosome positioning maps inferred from plasma cfDNA. The ends of cfDNA fragments clustered upstream and downstream of RPRs, and nucleotide frequencies of fragment ends indicated enzymatic digestion of urine cfDNA. Compared to plasma, fragmentation patterns in urine cfDNA showed greater correlation with gene expression and chromatin accessibility in epithelial cells of the urinary tract. We determined that tumor-derived urine cfDNA exhibits a higher frequency of aberrant fragments that end within RPRs. By comparing the fraction of aberrant fragments and nucleotide frequencies of fragment ends, we identified urine samples from cancer patients with an area under the curve of 0.89. Our results revealed nonrandom genomic positioning of urine cfDNA fragments and suggested that analysis of fragmentation patterns across recurrently protected genomic loci may serve as a cancer diagnostic.
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Affiliation(s)
- Havell Markus
- Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Jun Zhao
- Translational Genomics Research Institute, Phoenix, AZ 85004, USA.,Phoenix Children's Hospital, Phoenix, AZ 85016, USA
| | | | | | | | | | - Sydney Connor
- Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | | | - Bethine Moore
- Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | | | | | | | | | - Patrick Pirrotte
- Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Ajay Goel
- Baylor Scott and White Research Institute, Baylor University Medical Center, Dallas, TX 75204, USA.,City of Hope, Duarte, CA 91010, USA
| | - Carlos Becerra
- Baylor Scott and White Research Institute, Baylor University Medical Center, Dallas, TX 75204, USA
| | | | - Scott A Celinski
- Baylor Scott and White Research Institute, Baylor University Medical Center, Dallas, TX 75204, USA.,Department of Surgery, Baylor University Medical Center, Dallas, TX 75214, USA
| | | | - Muhammed Murtaza
- Translational Genomics Research Institute, Phoenix, AZ 85004, USA.
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13
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De Vlaminck I. The Proportion of Donor-Specific Cell-Free DNA in Blood as a Marker of Transplant Rejection: Not an Absolute. Clin Chem 2021; 66:1257-1258. [PMID: 32968783 DOI: 10.1093/clinchem/hvaa199] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 08/06/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Iwijn De Vlaminck
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY
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14
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Cheng AP, Cheng MP, Gu W, Sesing Lenz J, Hsu E, Schurr E, Bourque G, Bourgey M, Ritz J, Marty FM, Chiu CY, Vinh DC, De Vlaminck I. Cell-free DNA tissues of origin by methylation profiling reveals significant cell, tissue, and organ-specific injury related to COVID-19 severity. MED 2021; 2:411-422.e5. [PMID: 33521749 PMCID: PMC7836424 DOI: 10.1016/j.medj.2021.01.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 11/16/2020] [Accepted: 01/06/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) primarily affects the lungs, but evidence of systemic disease with multi-organ involvement is emerging. Here, we developed a blood test to broadly quantify cell-, tissue-, and organ-specific injury due to COVID-19. METHODS Our test leverages genome-wide methylation profiling of circulating cell-free DNA in plasma. We assessed the utility of this test to identify subjects with severe disease in two independent, longitudinal cohorts of hospitalized patients. Cell-free DNA profiling was performed on 104 plasma samples from 33 COVID-19 patients and compared to samples from patients with other viral infections and healthy controls. FINDINGS We found evidence of injury to the lung and liver and involvement of red blood cell progenitors associated with severe COVID-19. The concentration of cell-free DNA correlated with the World Health Organization (WHO) ordinal scale for disease progression and was significantly increased in patients requiring intubation. CONCLUSIONS This study points to the utility of cell-free DNA as an analyte to monitor and study COVID-19. FUNDING This work was supported by NIH grants 1DP2AI138242 (to I.D.V.), R01AI146165 (to I.D.V., M.P.C., F.M.M., and J.R.), 1R01AI151059 (to I.D.V.), K08-CA230156 (to W.G.), and R33-AI129455 to C.Y.C., a Synergy award from the Rainin Foundation (to I.D.V.), a SARS-CoV-2 seed grant at Cornell (to I.D.V.), a National Sciences and Engineering Research Council of Canada fellowship PGS-D3 (to A.P.C.), and a Burroughs-Wellcome CAMS Award (to W.G.). D.C.V. is supported by a Fonds de la Recherche en Sante du Quebec Clinical Research Scholar Junior 2 award. C.Y.C. is supported by the California Initiative to Advance Precision Medicine, and the Charles and Helen Schwab Foundation.
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Affiliation(s)
| | | | - Wei Gu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Joan Sesing Lenz
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Elaine Hsu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Erwin Schurr
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Guillaume Bourque
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Canadian Centre for Computational Genomics, Montreal, QC, Canada
| | - Mathieu Bourgey
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Canadian Centre for Computational Genomics, Montreal, QC, Canada
| | - Jerome Ritz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Francisco M Marty
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Infectious Disease, Brigham and Women's Hospital, Boston, MA, USA
| | - Charles Y Chiu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, CA, USA
| | - Donald C Vinh
- McGill University Health Center, Montreal, QC, Canada
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
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15
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Pattar S, Aleinati M, Iqbal F, Madhu A, Blais S, Wang X, Dallaire F, Wang Y, Isaac D, Fine N, Greenway SC. Identification of cell-free DNA methylation patterns unique to the human left ventricle as a potential indicator of acute cellular rejection. Clin Transplant 2021; 35:e14295. [PMID: 33756005 DOI: 10.1111/ctr.14295] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 03/16/2021] [Accepted: 03/18/2021] [Indexed: 12/22/2022]
Abstract
Increased levels of donor-derived cell-free DNA (dd-cfDNA) in recipient plasma have been associated with rejection after transplantation. DNA sequence differences have been used to distinguish between donor and recipient, but epigenetic differences could also potentially identify dd-cfDNA. This pilot study aimed to identify ventricle-specific differentially methylated regions of DNA (DMRs) that could be detected in cfDNA. We identified 24 ventricle-specific DMRs and chose two for further study, one on chromosome 9 and one on chromosome 12. The specificity of both DMRs for the left ventricle was confirmed using genomic DNA from multiple human tissues. Serial matched samples of myocardium (n = 33) and plasma (n = 24) were collected from stable adult heart transplant recipients undergoing routine endomyocardial biopsy for rejection surveillance. Plasma DMR levels increased with biopsy-proven rejection grade for individual patients. Mean cellular apoptosis in biopsy samples increased significantly with rejection severity (2.4%, 4.4% and 10.0% for ACR 0R, 1R, and 2R, respectively) but did not show a consistent relationship with DMR levels. We identified multiple DNA methylation patterns unique to the human ventricle and conclude that epigenetic differences in cfDNA populations represent a promising alternative strategy for the non-invasive detection of rejection.
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Affiliation(s)
- Sabrina Pattar
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Pediatrics and Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Cardiac Sciences and Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Mohammad Aleinati
- Department of Pediatrics and Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Cardiac Sciences and Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Fatima Iqbal
- Department of Pediatrics and Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Cardiac Sciences and Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Aiswarya Madhu
- Department of Pediatrics and Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Cardiac Sciences and Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Samuel Blais
- Division of Pediatric Cardiology, Department of Pediatrics, Faculty of Medicine and Health Sciences, Université de Sherbrooke and Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - Xuemei Wang
- Department of Pediatrics and Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Cardiac Sciences and Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Frederic Dallaire
- Division of Pediatric Cardiology, Department of Pediatrics, Faculty of Medicine and Health Sciences, Université de Sherbrooke and Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - Yinong Wang
- Alberta Precision Laboratories and Department of Pathology & Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Debra Isaac
- Department of Cardiac Sciences and Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Nowell Fine
- Department of Cardiac Sciences and Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Steven C Greenway
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Pediatrics and Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Cardiac Sciences and Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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16
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Bryzgunova OE, Konoshenko MY, Laktionov PP. Concentration of cell-free DNA in different tumor types. Expert Rev Mol Diagn 2020; 21:63-75. [PMID: 33270495 DOI: 10.1080/14737159.2020.1860021] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Introduction: Cell-free DNA (cfDNA) circulates in the blood for a long time. The levels of cfDNA in the blood are assayed in cancer diagnostics because they are closely related to the tumor burden of patients.Areas covered: cfDNA escapes the action of DNA-hydrolyzing enzymes, being a part of supramolecular complexes or interacting with the plasma membrane of blood cells. cfDNA has heterogeneous size and composition, which impose various restrictions on both isolation methods and subsequent analysis. cfDNA concentration and structural changes with the development of diseases highlight the high potential of cfDNA as a diagnostic and prognostic marker. The concentration of cfDNA released in the blood by tumor cells determines the specificity of such diagnostics and the required blood volume. The present review aimed to synthesize the available data on cfDNA concentration in the cancer patient's blood as well as pre-analytical, analytical, and biological factors, which interfere with cfDNA concentration.Expert opinion: The concentration of cfDNA and tumor cell DNA (ctDNA), and the over-presentation of DNA loci in cfDNA must be considered when looking for tumor markers. Some inconsistent data on cfDNA concentrations (like those obtained by different methods) suggest that the study of cfDNA should be continued.
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Affiliation(s)
- O E Bryzgunova
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia.,Meshalkin Siberian Federal Biomedical Research Center, Ministry of Public Health of the Russian Federation, Novosibirsk, Russia
| | - M Yu Konoshenko
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia.,Meshalkin Siberian Federal Biomedical Research Center, Ministry of Public Health of the Russian Federation, Novosibirsk, Russia
| | - P P Laktionov
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia.,Meshalkin Siberian Federal Biomedical Research Center, Ministry of Public Health of the Russian Federation, Novosibirsk, Russia
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17
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Circulating Donor Heart Exosome Profiling Enables Noninvasive Detection of Antibody-mediated Rejection. Transplant Direct 2020; 6:e615. [PMID: 33134491 PMCID: PMC7575166 DOI: 10.1097/txd.0000000000001057] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 07/28/2020] [Accepted: 08/05/2020] [Indexed: 12/29/2022] Open
Abstract
Background Endomyocardial biopsy remains the gold standard for distinguishing types of immunologic injury-acute versus antibody-mediated rejection (AMR). Exosomes are tissue-specific extracellular microvesicles released by many cell types, including transplanted heart. Circulating transplant heart exosomes express donor-specific human leukocyte antigen (HLA) I molecules. As AMR is mediated by antibodies to donor HLAs, we proposed that complement deposition that occurs with AMR at tissue level would also occur on circulating donor heart exosomes. Methods Plasma exosomes in 4 patients were isolated by column chromatography and ultracentrifugation. Donor heart exosomes were purified using anti-donor HLA I antibody beads and complement C4d protein expression was assessed in this subset as marker for AMR. Results Three patients had no rejection episodes. Circulating donor heart exosomes showed troponin protein and mRNA expression at all follow-up time points. One patient developed AMR on day 14 endomyocardial biopsy that was treated with rituximab, IVIG/plasmapheresis. Time-specific detection of C4d protein was seen in donor heart exosome subset in this patient, which resolved with treatment. C4d was not seen in other 3 patients' donor exosomes. Conclusions Anti-donor HLA I specificity enables characterization of circulating donor heart exosomes in the clinical setting. Further characterization may open the window to noninvasively diagnose rejection type, such as AMR.
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18
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Cheng AP, Cheng MP, Gu W, Lenz JS, Hsu E, Schurr E, Bourque G, Bourgey M, Ritz J, Marty F, Chiu CY, Vinh DC, Vlaminck ID. Cell-Free DNA in Blood Reveals Significant Cell, Tissue and Organ Specific injury and Predicts COVID-19 Severity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.07.27.20163188. [PMID: 32766608 PMCID: PMC7402071 DOI: 10.1101/2020.07.27.20163188] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
COVID-19 primarily affects the lungs, but evidence of systemic disease with multi-organ involvement is emerging. Here, we developed a blood test to broadly quantify cell, tissue, and organ specific injury due to COVID-19, using genome-wide methylation profiling of circulating cell-free DNA in plasma. We assessed the utility of this test to identify subjects with severe disease in two independent, longitudinal cohorts of hospitalized patients. Cell-free DNA profiling was performed on 104 plasma samples from 33 COVID-19 patients and compared to samples from patients with other viral infections and healthy controls. We found evidence of injury to the lung and liver and involvement of red blood cell progenitors associated with severe COVID-19. The concentration of cfDNA correlated with the WHO ordinal scale for disease progression and was significantly increased in patients requiring intubation. This study points to the utility of cell-free DNA as an analyte to monitor and study COVID-19.
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Affiliation(s)
| | | | - Wei Gu
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbot Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Joan Sesing Lenz
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Elaine Hsu
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Erwin Schurr
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Guillaume Bourque
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Mathieu Bourgey
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Jerome Ritz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical school, Boston, MA, USA
| | - Francisco Marty
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Infectious Disease, Brigham and Women’s Hospital, Boston, MA, USA
| | - Charles Y. Chiu
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbot Viral Diagnostics and Discovery Center, San Francisco, CA, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, CA, USA
| | | | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
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19
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Clausen FB, Barrett AN, Advani HV, Choolani M, Dziegiel MH. Impact of long-term storage of plasma and cell-free DNA on measured DNA quantity and fetal fraction. Vox Sang 2020; 115:586-594. [PMID: 32342989 DOI: 10.1111/vox.12923] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 03/25/2020] [Accepted: 03/27/2020] [Indexed: 01/06/2023]
Abstract
BACKGROUND AND OBJECTIVE Optimal sample storage conditions are essential for non-invasive prenatal testing of cell-free fetal and total DNA. We investigated the effect of long-term storage of plasma samples and extracted cfDNA using qPCR. MATERIALS AND METHODS Fetal and total cfDNA yield and fetal fraction were calculated before and after storage of plasma for 0-6 years at -25°C. Dilution experiments were performed to investigate PCR inhibition. Extraction with or without proteinase K was used to examine protein dissociation. Storage of extracted cfDNA was investigated by testing aliquots immediately, and after 18 months and 3 years of storage at -25°C. RESULTS We observed a marked increase in the levels of amplifiable fetal and total DNA in plasma stored for 2-3 years, and fetal fraction was slightly decreased after 3 years of storage. cfDNA detection was independent of proteinase K during DNA extraction in plasma samples stored >2 years, indicating a loss of proteins from DNA over time, which was likely to account for the observed increase in DNA yields. Measured fetal and total DNA quantities, as well as fetal fraction, increased in stored, extracted cfDNA. CONCLUSION Fetal and total cell-free DNA is readily detectable in plasma after long-term storage at -25°C. However, substantial variation in measured DNA quantities and fetal fraction means caution may be required when using stored plasma and extracted cfDNA for test development or validation purposes.
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Affiliation(s)
- Frederik Banch Clausen
- Department of Clinical Immunology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Angela N Barrett
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Henna V Advani
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Mahesh Choolani
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Morten Hanefeld Dziegiel
- Department of Clinical Immunology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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20
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Han D, Li R, Shi J, Tan P, Zhang R, Li J. Liquid biopsy for infectious diseases: a focus on microbial cell-free DNA sequencing. Theranostics 2020; 10:5501-5513. [PMID: 32373224 PMCID: PMC7196304 DOI: 10.7150/thno.45554] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 03/29/2020] [Indexed: 12/19/2022] Open
Abstract
Metagenomic next-generation sequencing (mNGS) of microbial cell-free DNA (mcfDNA sequencing) is becoming an attractive diagnostic modality for infectious diseases, allowing broad-range pathogen detection, noninvasive sampling, and rapid diagnosis. At this key juncture in the translation of metagenomics into clinical practice, an integrative perspective is needed to understand the significance of emerging mcfDNA sequencing technology. In this review, we summarized the actual performance of the mcfDNA sequencing tests recently used in health care settings for the diagnosis of a variety of infectious diseases and further focused on the practice considerations (challenges and solutions) for improving the accuracy and clinical relevance of the results produced by this evolving technique. Such knowledge will be helpful for physicians, microbiologists and researchers to understand what is going on in this quickly progressing field of non-invasive pathogen diagnosis by mcfDNA sequencing and promote the routine implementation of this technique in the diagnosis of infectious disease.
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Affiliation(s)
- Dongsheng Han
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P.R. China
| | - Rui Li
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P.R. China
| | - Jiping Shi
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P.R. China
- Peking University Fifth School of Clinical Medicine, National Center for Clinical Laboratories, National Center of Gerontology, Beijing Hospital, Beijing, China
| | - Ping Tan
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P.R. China
| | - Rui Zhang
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P.R. China
| | - Jinming Li
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, P.R. China
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21
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Speake C, Ylescupidez A, Neiman D, Shemer R, Glaser B, Tersey SA, Usmani-Brown S, Clark P, Wilhelm JJ, Bellin MD, Herold KC, Mirmira RG, Dor Y, Evans-Molina C. Circulating Unmethylated Insulin DNA As a Biomarker of Human Beta Cell Death: A Multi-laboratory Assay Comparison. J Clin Endocrinol Metab 2020; 105:5698251. [PMID: 31913467 PMCID: PMC7015459 DOI: 10.1210/clinem/dgaa008] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 01/06/2020] [Indexed: 02/06/2023]
Abstract
CONTEXT There is an unmet need for biomarkers of pancreatic beta-cell death to improve early diagnosis of type 1 diabetes, enroll subjects into clinical trials, and assess treatment response. To address this need, several groups developed assays measuring insulin deoxyribonucleic acid (DNA) with unmethylated CpG sites in cell-free DNA. Unmethylated insulin DNA should be derived predominantly from beta-cells and indicate ongoing beta-cell death. OBJECTIVE To assess the performance of three unmethylated insulin DNA assays. DESIGN AND PARTICIPANTS Plasma or serum samples from 13 subjects undergoing total pancreatectomy and islet autotransplantation were coded and provided to investigators to measure unmethylated insulin DNA. Samples included a negative control taken post-pancreatectomy but pretransplant, and a positive control taken immediately following islet infusion. We assessed technical reproducibility, linearity, and persistence of detection of unmethylated insulin DNA for each assay. RESULTS All assays discriminated between the negative sample and samples taken directly from the islet transplant bag; 2 of 3 discriminated negative samples from those taken immediately after islet infusion. When high levels of unmethylated insulin DNA were present, technical reproducibility was generally good for all assays. CONCLUSIONS The measurement of beta cell cell-free DNA, including insulin, is a promising approach, warranting further testing and development in those with or at-risk for type 1 diabetes, as well as in other settings where understanding the frequency or kinetics of beta cell death could be useful.
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Affiliation(s)
- Cate Speake
- Diabetes Clinical Research Program, Benaroya Research Institute at Virginia Mason, Seattle, WA, US
- Correspondence and Reprint Requests: Cate Speake, PhD, Diabetes Clinical Research Program, Benaroya Research Institute, 1201 9th Avenue, Seattle, WA 98101. E-mail:
| | - Alyssa Ylescupidez
- Diabetes Clinical Research Program, Benaroya Research Institute at Virginia Mason, Seattle, WA, US
| | - Daniel Neiman
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Ruth Shemer
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Benjamin Glaser
- Endocrinology and Metabolism Service, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Sarah A Tersey
- Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, US
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, US
| | | | - Pamela Clark
- Departments of Immunobiology and Internal Medicine, Yale University School of Medicine, New Haven, CT, US
| | - Joshua J Wilhelm
- Department of Surgery, Schulze Diabetes Institute, University of Minnesota, Minneapolis, MN, US
| | - Melena D Bellin
- Departments of Pediatrics and Surgery, University of Minnesota, Minneapolis, MN, US
| | - Kevan C Herold
- Departments of Immunobiology and Internal Medicine, Yale University School of Medicine, New Haven, CT, US
| | - Raghavendra G Mirmira
- Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, US
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, US
| | - Yuval Dor
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Carmella Evans-Molina
- Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, US
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, US
- The Richard L. Roudebush VA Medical Center, Indianapolis, IN, US
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22
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Ullrich E, Heidinger P, Soh J, Villanova L, Grabuschnig S, Bachler T, Hirschböck E, Sánchez-Heredero S, Ford B, Sensen M, Rosales Rodriguez I, Schwendenwein D, Neumeister P, Zurl CJ, Krause R, Lorenz Khol J, Sensen CW. Evaluation of host-based molecular markers for the early detection of human sepsis. J Biotechnol 2020; 310:80-88. [PMID: 32017954 DOI: 10.1016/j.jbiotec.2020.01.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 01/18/2020] [Accepted: 01/27/2020] [Indexed: 12/12/2022]
Abstract
We have identified 24 molecular markers, based on circulating nucleic acids (CNA) originating from the human genome, which in combination can be used in a quantitative real-time PCR (qPCR) assay to identify the presence of human sepsis, starting two to three days before the first clinical signs develop and including patients who meet the SEPSIS-3 criteria. The accuracy was more than 87 % inside of the same patient cohort for which the markers were developed and up to 81 % in blind studies of patient cohorts which were not included in the marker development. As our markers are host-based, they can be used to capture bacterial as well as fungal sepsis, unlike the current PCR-based tests, which require species-specific primer sets for each organism causing human sepsis. Our assay directly uses an aliquot of cell-free blood as the substrate for the PCR reaction, thus allowing to obtain the diagnostic results in three to four hours after the collection of the blood samples.
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Affiliation(s)
- Elisabeth Ullrich
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Neue Stiftingtalstraße 6, 8010, Graz, Austria
| | | | - Jung Soh
- CNA Diagnostics Inc., Suite 300, 4838 Richard Road SW, Calgary, Alberta, T3E 6L1, Canada
| | - Laura Villanova
- Institute of Computational Biotechnology, Graz University of Technology, Petersgasse 14/V, 8010, Graz, Styria, Austria
| | - Stefan Grabuschnig
- Institute of Computational Biotechnology, Graz University of Technology, Petersgasse 14/V, 8010, Graz, Styria, Austria
| | | | | | - Sara Sánchez-Heredero
- Institute of Computational Biotechnology, Graz University of Technology, Petersgasse 14/V, 8010, Graz, Styria, Austria
| | - Barry Ford
- Defence Research and Development Canada, Suffield Research Centre, Suffield, P.O. box 4000 Stn Main, T1A 8K6, Medicine Hat, Alberta, Canada
| | - Maria Sensen
- Hochstraße 12, 8076, Vasoldsberg, Styria, Austria
| | | | | | - Peter Neumeister
- Clinical Division for Hematology, Medical University of Graz, Auenbruggerplatz 38D, 8036 Graz, Styria, Austria
| | - Christoph J Zurl
- Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Auenbruggerplatz 34/II, 8036, Graz, Styria, Austria
| | - Robert Krause
- Section of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Styria, Austria; BioTechMed Graz, Mozartgasse 12/II, 8010, Graz, Styria, Austria
| | - Johannes Lorenz Khol
- Department for Farm Animals and Veterinary Public Health, University Clinic for Ruminants, University of Veterinary Medicine, Veterinärplatz 1, 1210, Vienna, Austria
| | - Christoph W Sensen
- Institute of Computational Biotechnology, Graz University of Technology, Petersgasse 14/V, 8010, Graz, Styria, Austria; CNA Diagnostics GmbH, Parkring 18, 8074, Grambach, Styria, Austria; BioTechMed Graz, Mozartgasse 12/II, 8010, Graz, Styria, Austria.
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23
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Andrikovics H, Őrfi Z, Meggyesi N, Bors A, Varga L, Kövy P, Vilimszky Z, Kolics F, Gopcsa L, Reményi P, Tordai A. Current Trends in Applications of Circulatory Microchimerism Detection in Transplantation. Int J Mol Sci 2019; 20:E4450. [PMID: 31509957 PMCID: PMC6769866 DOI: 10.3390/ijms20184450] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Revised: 09/05/2019] [Accepted: 09/05/2019] [Indexed: 02/07/2023] Open
Abstract
Primarily due to recent advances of detection techniques, microchimerism (the proportion of minor variant population is below 1%) has recently gained increasing attention in the field of transplantation. Availability of polymorphic markers, such as deletion insertion or single nucleotide polymorphisms along with a vast array of high sensitivity detection techniques, allow the accurate detection of small quantities of donor- or recipient-related materials. This diagnostic information can improve monitoring of allograft injuries in solid organ transplantations (SOT) as well as facilitate early detection of relapse in allogeneic hematopoietic stem cell transplantation (allo-HSCT). In the present review, genetic marker and detection platform options applicable for microchimerism detection are discussed. Furthermore, current results of relevant clinical studies in the context of microchimerism and SOT or allo-HSCT respectively are also summarized.
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Affiliation(s)
- Hajnalka Andrikovics
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest National Institute of Hematology and Infectious Diseases, 1097 Budapest, Hungary
- Department of Pathophysiology, Semmelweis University, 1089 Budapest, Hungary
| | - Zoltán Őrfi
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest National Institute of Hematology and Infectious Diseases, 1097 Budapest, Hungary
| | - Nóra Meggyesi
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest National Institute of Hematology and Infectious Diseases, 1097 Budapest, Hungary
| | - András Bors
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest National Institute of Hematology and Infectious Diseases, 1097 Budapest, Hungary
| | - Lívia Varga
- School of PhD Studies, Semmelweis University, 1085 Budapest, Hungary
- Hungarian National Blood Transfusion Service, 1113 Budapest, Hungary
| | - Petra Kövy
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest National Institute of Hematology and Infectious Diseases, 1097 Budapest, Hungary
- School of PhD Studies, Semmelweis University, 1085 Budapest, Hungary
| | - Zsófia Vilimszky
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest National Institute of Hematology and Infectious Diseases, 1097 Budapest, Hungary
| | - Fanni Kolics
- Laboratory of Molecular Genetics, Central Hospital of Southern Pest National Institute of Hematology and Infectious Diseases, 1097 Budapest, Hungary
| | - László Gopcsa
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern Pest National Institute of Hematology and Infectious Diseases, 1097 Budapest, Hungary
| | - Péter Reményi
- Department of Hematology and Stem Cell Transplantation, Central Hospital of Southern Pest National Institute of Hematology and Infectious Diseases, 1097 Budapest, Hungary
| | - Attila Tordai
- Department of Pathophysiology, Semmelweis University, 1089 Budapest, Hungary.
- Department of Transfusion Medicine, Semmelweis University, 1089 Budapest, Hungary.
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24
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Clausen FB. Cell‐free fetal
DNA
and fetal blood group genotyping: non‐invasive prenatal testing. ACTA ACUST UNITED AC 2019. [DOI: 10.1111/voxs.12521] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Frederik Banch Clausen
- Laboratory of Blood Genetics Department of Clinical Immunology Copenhagen University Hospital Copenhagen Denmark
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25
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Cell-Free Nucleic Acids and their Emerging Role in the Pathogenesis and Clinical Management of Inflammatory Bowel Disease. Int J Mol Sci 2019; 20:ijms20153662. [PMID: 31357438 PMCID: PMC6696129 DOI: 10.3390/ijms20153662] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 07/24/2019] [Accepted: 07/24/2019] [Indexed: 12/12/2022] Open
Abstract
Cell-free nucleic acids (cfNAs) are defined as any nucleic acids that are present outside the cell. They represent valuable biomarkers in various diagnostic protocols such as prenatal diagnostics, the detection of cancer, and cardiovascular or autoimmune diseases. However, in the current literature, little is known about their implication in inflammatory bowel disease (IBD). IBD is a group of multifactorial, autoimmune, and debilitating diseases with increasing incidence worldwide. Despite extensive research, their etiology and exact pathogenesis is still unclear. Since cfNAs were observed in other autoimmune diseases and appear to be relevant in inflammatory processes, their role in the pathogenesis of IBD has also been suggested. This review provides a summary of knowledge from the available literature about cfDNA and cfRNA and the structures involving them such as exosomes and neutrophil extracellular traps and their association with IBD. Current studies showed the promise of cfNAs in the management of IBD not only as biomarkers distinguishing patients from healthy people and differentiating active from inactive disease state, but also as a potential therapeutic target. However, the detailed biological characteristics of cfNAs need to be fully elucidated in future experimental and clinical studies.
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26
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Ng HI, Zhu X, Xuan L, Long Y, Mao Y, Shi Y, Sun L, Liang B, Scaglia F, Choy KW, Zhu Z. Analysis of fragment size distribution of cell-free DNA: A potential non-invasive marker to monitor graft damage in living-related liver transplantation for inborn errors of metabolism. Mol Genet Metab 2019; 127:45-50. [PMID: 31027872 DOI: 10.1016/j.ymgme.2019.03.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 03/11/2019] [Accepted: 03/11/2019] [Indexed: 12/31/2022]
Abstract
Graft-derived-cell-free DNA (Gcf-DNA) in plasma is a promising biomarker to monitor graft-rejection after liver transplantation (LTx). However, current methods of measuring Gcf-DNA have several limitations including high cost, long turnaround-time and the need to request donor's genetic information. In this study, eleven patients diagnosed with different inborn errors of metabolism (IEMs) who required living-related LTx were enrolled in order to establish a potentially useful noninvasive method to monitor graft damage. Circulating cell-free DNA (cfDNA) was extracted from plasma specimens serially collected at specific time points (day 0, day 1, day 7, day 14, day 30, day 60) after LTx. The distribution of Gcf-DNA fragment sizes was measured using sequencing read lengths and quantified by using Y-chromosome capture methodology in seven sex-mismatched recipients. In the analysis of fragment size distribution, we observed Gcf-DNA exhibited smaller fragment sizes than the recipient-cfDNA. Based on this phenomenon, two fragment sizes (105-145 bp, 160-170 bp) of the cfDNA pool were extracted to enrich Gcf-DNA. Accordingly, the ratio of short fragments to long fragments (S/L-Frag) in cfDNA was calculated. A high S/L-Frag ratio pointed towards an early trend of graft injury when compared to two routine liver function enzymes (ALT and AST) and Gcf-DNA, and it significantly correlated with ALT (P < 0.0001) and AST (P < 0.0001) during full-blown rejection. In conclusion, we established the Gcf-DNA size profile in patients who have undergone living-related LTx and established a potential biomarker to monitor graft function after LTx.
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Affiliation(s)
- Hoi Ioi Ng
- Liver Transplantation Center, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Xiaofan Zhu
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Liming Xuan
- Basecare Medical Device Co., Ltd, 218 Xinghu Road, SIP., Suzhou, Jiangsu 215001, China
| | - Yan Long
- Liver Transplantation Center, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Yan Mao
- Basecare Medical Device Co., Ltd, 218 Xinghu Road, SIP., Suzhou, Jiangsu 215001, China
| | - Yu Shi
- Liver Transplantation Center, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Liying Sun
- Liver Transplantation Center, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Bo Liang
- Basecare Medical Device Co., Ltd, 218 Xinghu Road, SIP., Suzhou, Jiangsu 215001, China; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Fernando Scaglia
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA; The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong SAR, China
| | - Kwong Wai Choy
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China; The Chinese University of Hong Kong-Baylor College of Medicine Joint Center for Medical Genetics, Hong Kong SAR, China.
| | - Zhijun Zhu
- Liver Transplantation Center, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
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27
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Kustanovich A, Schwartz R, Peretz T, Grinshpun A. Life and death of circulating cell-free DNA. Cancer Biol Ther 2019; 20:1057-1067. [PMID: 30990132 PMCID: PMC6606043 DOI: 10.1080/15384047.2019.1598759] [Citation(s) in RCA: 305] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 02/24/2019] [Accepted: 03/12/2019] [Indexed: 12/18/2022] Open
Abstract
Tumor-specific, circulating cell-free DNA in liquid biopsies is a promising source of biomarkers for minimally invasive serial monitoring of treatment responses in cancer management. We will review the current understanding of the origin of circulating cell-free DNA and different forms of DNA release (including various types of cell death and active secretion processes) and clearance routes. The dynamics of extracellular DNA in blood during therapy and the role of circulating DNA in pathophysiological processes (tumor-associated inflammation, NETosis, and pre-metastatic niche development) provide insights into the mechanisms that contribute to tumor development and metastases formation. Better knowledge of circulating tumor-specific cell-free DNA could facilitate the development of new therapeutic and diagnostic options for cancer management.
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Affiliation(s)
- Anatoli Kustanovich
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Ruth Schwartz
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Tamar Peretz
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Albert Grinshpun
- Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
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28
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Ng HI, Sun LY, Zhu ZJ. Application of graft-derived cell-free DNA in ornithine transcarbamylase deficiency patient after living donor liver transplantation: Two case reports. Medicine (Baltimore) 2018; 97:e13843. [PMID: 30572553 PMCID: PMC6320025 DOI: 10.1097/md.0000000000013843] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
RATIONALE Graft-derived-cell-free DNA (Gcf-DNA) in plasma was a promising biomarker to monitor graft-rejection after liver transplantation. However, little is known about the application of Gcf-DNA in living-donor-liver-transplantation (LDLT). PATIENTS CONCERN In this study, 2 patients diagnosed with Ornithine Transcarbamylase Deficiency (OTCD) were enrolled and indicated for LDLT. DIAGNOSES Two patients were genetically diagnosed with OTCD, and they suffered from recurrent and uncontrollable hyper-ammonemia and failed in accepting the normalized OTCD treatments, such as decreasing dietary nitrogen intake and increasing waste-nitrogen excretion. INTERVENTIONS LDLT was performed in the 2 patients uneventfully, and we collected circulating cell-free DNA from plasma in specific postoperative time points (day 1, day 7, day 14, day 30, day 60). Since both of the recipients were sex-mismatch with the donors, we measured Gcf-DNA through the Y-chromosome method and compared it with the routine liver function. OUTCOMES The result showed that Gcf-DNA had the similar discrimination of graft injury trend while compared to routine liver function. The follow-up showed these 2 patients' status is stable. LESSONS Applying Gcf-DNA to monitor graft injury in LDLT is promising, but still long term follow-up and more samples are needed for validation.
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29
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Greninger AL, Naccache SN. Metagenomics to Assist in the Diagnosis of Bloodstream Infection. J Appl Lab Med 2018; 3:643-653. [PMID: 31639732 DOI: 10.1373/jalm.2018.026120] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Accepted: 11/08/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND Metagenomic next-generation sequencing (mNGS) has emerged as a promising technology that enables pan-pathogen detection from any source. However, clinical utility and practical integration into the clinical microbiology work flow and a bloodstream infection detection algorithm are currently uncharted. In the context of bloodstream infections, the challenges associated with blood culture, including sensitivity, postantibiotic treatment, attaining sufficient volumes sufficient volumes, and turnaround time, are well-known. Molecular assays have helped expedite turnaround time, especially when performed directly from positive culture media bottles. mNGS offers an unbiased but more complex version of molecular testing directly from sample, but it is unclear how and if it should be implemented in the clinical microbiology laboratory today. CONTENT Here we map out the potential utility and application of mNGS tests to infectious disease diagnostics from blood sources, including intrinsic limitations of the methodology in diagnosing bloodstream infections and sepsis vs DNAemia, current barriers to integration into routine workup, and milestones that may need to be met before implementation. SUMMARY Polymerases and pores move faster than bugs divide, so the thermodynamics of mNGS adoption for bloodstream infection is favorable. Nonetheless, considerable activation barriers exist that will slow this likely diagnostic transition. We eagerly await the manufacturer who designs an integrated sample-to-answer box to do for mNGS what has been done for other aspects of molecular detection.
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Affiliation(s)
| | - Samia N Naccache
- Department of Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA
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30
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Zeng H, He B, Yi C, Peng J. Liquid biopsies: DNA methylation analyses in circulating cell-free DNA. J Genet Genomics 2018; 45:185-192. [PMID: 29706556 DOI: 10.1016/j.jgg.2018.02.007] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 01/10/2018] [Accepted: 02/01/2018] [Indexed: 12/29/2022]
Abstract
Analysis of patient's materials like cells or nucleic acids obtained in a minimally invasive or noninvasive manner through the sampling of blood or other body fluids serves as liquid biopsies, which has huge potential for numerous diagnostic applications. Circulating cell-free DNA (cfDNA) is explored as a prognostic or predictive marker of liquid biopsies with the improvements in genomic and molecular methods. DNA methylation is an important epigenetic marker known to affect gene expression. cfDNA methylation detection is a very promising approach as abnormal distribution of DNA methylation is one of the hallmarks of many cancers and methylation changes occur early during carcinogenesis. This review summarizes the various investigational applications of cfDNA methylation and its oxidized derivatives as biomarkers for cancer diagnosis, prenatal diagnosis and organ transplantation monitoring. The review also provides a brief overview of the technologies for cfDNA methylation analysis based on next generation sequencing.
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Affiliation(s)
- Hu Zeng
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China
| | - Bo He
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Chengqi Yi
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Synthetic and Functional Biomolecules Center, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
| | - Jinying Peng
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China.
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