1
|
Djomnang LAK, Li C, Mzava O, Cheng AP, Chang A, Lenz JS, Suthanthiran M, Lee JR, Dadhania DM, De Vlaminck I. A quantitative comparison of urine centrifugation and filtration for the isolation and analysis of urinary nucleic acid biomarkers. Sci Rep 2024; 14:10872. [PMID: 38740837 DOI: 10.1038/s41598-024-54239-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 02/10/2024] [Indexed: 05/16/2024] Open
Abstract
Urine is a rich source of nucleic acid biomarkers including cell-free DNA (cfDNA) and RNA for monitoring the health of kidney allografts. In this study, we aimed to evaluate whether urine filtration can serve as an alternative to the commonly used method of centrifugation to collect urinary fluid and cell pellets for isolating cfDNA and cellular messenger RNA (mRNA). We collected urine specimens from kidney allograft recipients and obtained the urine supernatant and cell pellet from each specimen using both filtration and centrifugation for paired analyses. We performed DNA sequencing to characterize the origin and properties of cfDNA, as well as quantitative PCR of mRNAs extracted from cell fractions. Our results showed that the biophysical properties of cfDNA, the microbial DNA content, and the tissues of origin of cfDNA were comparable between samples processed using filtration and centrifugation method. Similarly, mRNA quality and quantity obtained using both methods met our criteria for downstream application and the Ct values for each mRNA were comparable between the two techniques.The Ct values demonstrated a high degree of correlation. These findings suggest that urine filtration is a viable alternative to urine centrifugation for isolation of nucleic acid biomarkers from urine specimens.
Collapse
Affiliation(s)
| | - Carol Li
- Division of Nephrology and Hypertension, Department of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - Omary Mzava
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA
| | - Alexandre Pellan Cheng
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA
| | - Adrienne Chang
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA
| | - Joan Sesing Lenz
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Department of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - John R Lee
- Division of Nephrology and Hypertension, Department of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - Darshana M Dadhania
- Division of Nephrology and Hypertension, Department of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA.
| | - Iwijn De Vlaminck
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14850, USA.
| |
Collapse
|
2
|
Caggiano C, Morselli M, Qian X, Celona B, Thompson M, Wani S, Tosevska A, Taraszka K, Heuer G, Ngo S, Steyn F, Nestor P, Wallace L, McCombe P, Heggie S, Thorpe K, McElligott C, English G, Henders A, Henderson R, Lomen-Hoerth C, Wray N, McRae A, Pellegrini M, Garton F, Zaitlen N. Tissue informative cell-free DNA methylation sites in amyotrophic lateral sclerosis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.08.24305503. [PMID: 38645132 PMCID: PMC11030489 DOI: 10.1101/2024.04.08.24305503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Cell-free DNA (cfDNA) is increasingly recognized as a promising biomarker candidate for disease monitoring. However, its utility in neurodegenerative diseases, like amyotrophic lateral sclerosis (ALS), remains underexplored. Existing biomarker discovery approaches are tailored to a specific disease context or are too expensive to be clinically practical. Here, we address these challenges through a new approach combining advances in molecular and computational technologies. First, we develop statistical tools to select tissue-informative DNA methylation sites relevant to a disease process of interest. We then employ a capture protocol to select these sites and perform targeted methylation sequencing. Multi-modal information about the DNA methylation patterns are then utilized in machine learning algorithms trained to predict disease status and disease progression. We applied our method to two independent cohorts of ALS patients and controls (n=192). Overall, we found that the targeted sites accurately predicted ALS status and replicated between cohorts. Additionally, we identified epigenetic features associated with ALS phenotypes, including disease severity. These findings highlight the potential of cfDNA as a non-invasive biomarker for ALS.
Collapse
Affiliation(s)
- C Caggiano
- Department of Neurology, UCLA, Los Angeles, California
- Institute of Genomic Health, Icahn School of Medicine at Mt Sinai, New York, New York
| | - M Morselli
- Department of Molecular, Cell, and Developmental Biology, UCLA; Los Angeles, California
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy
| | - X Qian
- Institute for Molecular Biology, University of Queensland, Brisbane, Australia
| | - B Celona
- Cardiovascular Research Institute, UCSF, San Francisco, California
| | - M Thompson
- Department of Neurology, UCLA, Los Angeles, California
- Systems and Synthetic Biology, Centre for Genomic Regulation, Barcelona, Spain
| | - S Wani
- Cardiovascular Research Institute, UCSF, San Francisco, California
| | - A Tosevska
- Department of Molecular, Cell, and Developmental Biology, UCLA; Los Angeles, California
- Department of Internal Medicine III, Division of Rheumatology, Medical University of Vienna, Vienna, Austria
| | - K Taraszka
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - G Heuer
- Computational and Systems Biology Interdepartmental Program, UCLA, Los Angeles, California
| | - S Ngo
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - F Steyn
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - P Nestor
- Queensland Brain Institute, Unviversity of Queensland, Brisbane, Australia
- Mater Public Hospital, Brisbane, Australia
| | - L Wallace
- Institute for Molecular Biology, University of Queensland, Brisbane, Australia
| | - P McCombe
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - S Heggie
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - K Thorpe
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | | | - G English
- Institute for Molecular Biology, University of Queensland, Brisbane, Australia
| | - A Henders
- Institute for Molecular Biology, University of Queensland, Brisbane, Australia
| | - R Henderson
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - C Lomen-Hoerth
- Department of Neurology, UCSF, San Francisco, California
| | - N Wray
- Institute for Molecular Biology, University of Queensland, Brisbane, Australia
| | - A McRae
- Institute for Molecular Biology, University of Queensland, Brisbane, Australia
| | - M Pellegrini
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy
| | - F Garton
- Institute for Molecular Biology, University of Queensland, Brisbane, Australia
| | - N Zaitlen
- Department of Neurology, UCLA, Los Angeles, California
- Department of Human Genetics, University of California Los Angeles, Los Angeles, California
| |
Collapse
|
3
|
McNamara ME, Jain SS, Oza K, Muralidaran V, Kiliti AJ, McDeed AP, Patil D, Cui Y, Schmidt MO, Riegel AT, Kroemer AH, Wellstein A. Circulating, cell-free methylated DNA indicates cellular sources of allograft injury after liver transplant. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.04.588176. [PMID: 38617373 PMCID: PMC11014558 DOI: 10.1101/2024.04.04.588176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Post-transplant complications reduce allograft and recipient survival. Current approaches for detecting allograft injury non-invasively are limited and do not differentiate between cellular mechanisms. Here, we monitor cellular damages after liver transplants from cell-free DNA (cfDNA) fragments released from dying cells into the circulation. We analyzed 130 blood samples collected from 44 patients at different time points after transplant. Sequence-based methylation of cfDNA fragments were mapped to patterns established to identify cell types in different organs. For liver cell types DNA methylation patterns and multi-omic data integration show distinct enrichment in open chromatin and regulatory regions functionally important for the respective cell types. We find that multi-tissue cellular damages post-transplant recover in patients without allograft injury during the first post-operative week. However, sustained elevation of hepatocyte and biliary epithelial cfDNA beyond the first week indicates early-onset allograft injury. Further, cfDNA composition differentiates amongst causes of allograft injury indicating the potential for non-invasive monitoring and timely intervention.
Collapse
Affiliation(s)
- Megan E. McNamara
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Sidharth S. Jain
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Kesha Oza
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, USA
- Department of General Surgery, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Vinona Muralidaran
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, USA
| | - Amber J. Kiliti
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - A. Patrick McDeed
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Digvijay Patil
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, USA
| | - Yuki Cui
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, USA
| | - Marcel O. Schmidt
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Anna T. Riegel
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Alexander H.K. Kroemer
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, USA
| | - Anton Wellstein
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| |
Collapse
|
4
|
Loy CJ, Servellita V, Sotomayor-Gonzalez A, Bliss A, Lenz J, Belcher E, Suslovic W, Nguyen J, Williams ME, Oseguera M, Gardiner MA, Choi JH, Hsiao HM, Wang H, Kim J, Shimizu C, Tremoulet A, Delaney M, DeBiasi RL, Rostad CA, Burns JC, Chiu CY, Vlaminck ID. Plasma Cell-free RNA Signatures of Inflammatory Syndromes in Children. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.06.24303645. [PMID: 38496479 PMCID: PMC10942512 DOI: 10.1101/2024.03.06.24303645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Inflammatory syndromes, including those caused by infection, are a major cause of hospital admissions among children and are often misdiagnosed because of a lack of advanced molecular diagnostic tools. In this study, we explored the utility of circulating cell-free RNA (cfRNA) in plasma as an analyte for the differential diagnosis and characterization of pediatric inflammatory syndromes. We profiled cfRNA in 370 plasma samples from pediatric patients with a range of inflammatory conditions, including Kawasaki disease (KD), Multisystem Inflammatory Syndrome in Children (MIS-C), viral infections and bacterial infections. We developed machine learning models based on these cfRNA profiles, which effectively differentiated KD from MIS-C - two conditions presenting with overlapping symptoms - with high performance (Test Area Under the Curve (AUC) = 0.97). We further extended this methodology into a multiclass machine learning framework that achieved 81% accuracy in distinguishing among KD, MIS-C, viral, and bacterial infections. We further demonstrated that cfRNA profiles can be used to quantify injury to specific tissues and organs, including the liver, heart, endothelium, nervous system, and the upper respiratory tract. Overall, this study identified cfRNA as a versatile analyte for the differential diagnosis and characterization of a wide range of pediatric inflammatory syndromes.
Collapse
|
5
|
Cheng JC, Swarup N, Wong DTW, Chia D. A review on the impact of single-stranded library preparation on plasma cell-free diversity for cancer detection. Front Oncol 2024; 14:1332004. [PMID: 38511142 PMCID: PMC10951391 DOI: 10.3389/fonc.2024.1332004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/07/2024] [Indexed: 03/22/2024] Open
Abstract
In clinical oncology, cell-free DNA (cfDNA) has shown immense potential in its ability to noninvasively detect cancer at various stages and monitor the progression of therapy. Despite the rapid improvements in cfDNA liquid biopsy approaches, achieving the required sensitivity to detect rare tumor-derived cfDNA still remains a challenge. For next-generation sequencing, the perceived presentation of cfDNA is strongly linked to the extraction and library preparation protocols. Conventional double-stranded DNA library preparation (dsDNA-LP) focuses on assessing ~167bp double-stranded mononucleosomal (mncfDNA) and its other oligonucleosomal cell-free DNA counterparts in plasma. However, dsDNA-LP methods fail to include short, single-stranded, or nicked DNA in the final library preparation, biasing the representation of the actual cfDNA populations in plasma. The emergence of single-stranded library preparation (ssDNA-LP) strategies over the past decade has now allowed these other populations of cfDNA to be studied from plasma. With the use of ssDNA-LP, single-stranded, nicked, and ultrashort cfDNA can be comprehensively assessed for its molecular characteristics and clinical potential. In this review, we overview the current literature on applications of ssDNA-LP on plasma cfDNA from a potential cancer liquid biopsy perspective. To this end, we discuss the molecular principles of single-stranded DNA adapter ligation, how library preparation contributes to the understanding of native cfDNA characteristics, and the potential for ssDNA-LP to improve the sensitivity of circulating tumor DNA detection. Additionally, we review the current literature on the newly reported species of plasma ultrashort single-stranded cell-free DNA plasma, which appear biologically distinct from mncfDNA. We conclude with a discussion of future perspectives of ssDNA-LP for liquid biopsy endeavors.
Collapse
Affiliation(s)
- Jordan C. Cheng
- School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States
- Stanford Cancer Institute, Stanford University, Stanford, CA, United States
| | - Neeti Swarup
- School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States
| | - David T. W. Wong
- School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States
| | - David Chia
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| |
Collapse
|
6
|
Alam AH, Van Zyl J, Shakoor HI, Farsakh D, Abdelrehim AB, Maliakkal N, Jamil AK, Patel R, Felius J, McKean S, Hall SA. The impact of active cytomegalovirus infection on donor-derived cell-free DNA testing in heart transplant recipients. Clin Transplant 2024; 38:e15287. [PMID: 38477177 DOI: 10.1111/ctr.15287] [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: 01/09/2024] [Revised: 02/06/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND Little is known about the relationship between cytomegalovirus (CMV) infections and donor-derived cell-free DNA (dd-cfDNA) in heart transplant recipients. METHODS In our study, CMV and dd-cfDNA results were prospectively collected on single-organ heart transplant recipients. If the CMV study was positive, a CMV study with dd-cfDNA was repeated 1-3 months later. The primary aim was to compare dd-cfDNA between patients with positive and negative CMV results. RESULTS Of 44 patients enrolled between August 2022 and April 2023, 12 tested positive for CMV infections, 25 were included as controls, and seven patients with a viral infection without CMV were excluded. Baseline characteristics did not differ significantly between CMV-positive and CMV-negative patients with the exception of a later median time post-transplant in the CMV-positive group (253 days vs. 120 days, p = .03). Dd-cfDNA levels were significantly higher in patients with CMV infections compared to those without (p < .001) with more patients in the CMV positive group showing dd-cfDNA results ≥.12% (75% vs. 8%, p < .001) and ≥.20% (58% vs. 8%, p = .002). Each 1 log10 copy/ml reduction in CMV viral load from visit 1 to visit 2 was associated with a.23% reduction in log10 dd-cfDNA (p = .002). CONCLUSION Our findings suggest that active CMV infections may raise dd-cfDNA levels in patients following heart transplantation. Larger studies are needed to validate these preliminary findings.
Collapse
Affiliation(s)
- Amit H Alam
- Division of Cardiology, New York University Langone Health, New York, New York, USA
| | - Johanna Van Zyl
- Texas A&M University Health Science Center College of Medicine, Dallas, Texas, USA
- Baylor Scott & White Research Institute, Baylor Scott & White Health, Dallas, Texas, USA
| | - Hira I Shakoor
- Baylor Scott & White Research Institute, Baylor Scott & White Health, Dallas, Texas, USA
| | - Dana Farsakh
- Baylor Scott & White Research Institute, Baylor Scott & White Health, Dallas, Texas, USA
| | - Ahmad B Abdelrehim
- Baylor Scott & White Research Institute, Baylor Scott & White Health, Dallas, Texas, USA
| | - Neville Maliakkal
- Baylor Scott & White Research Institute, Baylor Scott & White Health, Dallas, Texas, USA
| | - Aayla K Jamil
- Texas A&M University Health Science Center College of Medicine, Dallas, Texas, USA
- Baylor Scott & White Research Institute, Baylor Scott & White Health, Dallas, Texas, USA
| | - Raksha Patel
- Center for Advanced Heart and Lung Disease, Baylor University Medical Center, Baylor Scott & White Health, Dallas, Texas, USA
| | - Joost Felius
- Texas A&M University Health Science Center College of Medicine, Dallas, Texas, USA
- Baylor Scott & White Research Institute, Baylor Scott & White Health, Dallas, Texas, USA
| | - Staci McKean
- Center for Advanced Heart and Lung Disease, Baylor University Medical Center, Baylor Scott & White Health, Dallas, Texas, USA
| | - Shelley A Hall
- Texas A&M University Health Science Center College of Medicine, Dallas, Texas, USA
- Center for Advanced Heart and Lung Disease, Baylor University Medical Center, Baylor Scott & White Health, Dallas, Texas, USA
| |
Collapse
|
7
|
Costales C, Dien Bard J. The Report Says What?: How the Medical Microbiologist can aid in the Interpretation of Next-Generation Sequencing Results. Clin Lab Med 2024; 44:75-84. [PMID: 38280799 DOI: 10.1016/j.cll.2023.10.006] [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] [Indexed: 01/29/2024]
Abstract
The applications of next-generation sequencing (NGS) in the clinical microbiology laboratory are expanding at a rapid pace. The medical microbiologist thus plays a key role in translating the results of these emerging technologies to the practicing clinician. Here we discuss the factors to consider to successfully develop standardized reporting for microbial targeted or metagenomic NGS testing in the clinical laboratory.
Collapse
Affiliation(s)
- Cristina Costales
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Jennifer Dien Bard
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
8
|
Vorperian SK, DeFelice BC, Buonomo JA, Chinchinian HJ, Gray IJ, Yan J, Mach KE, La V, Lee TJ, Liao JC, Lafayette R, Loeb GB, Bertozzi CR, Quake SR. Multiomics characterization of cell type repertoires for urine liquid biopsies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.20.563226. [PMID: 37961398 PMCID: PMC10634682 DOI: 10.1101/2023.10.20.563226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Urine is assayed alongside blood in medicine, yet current clinical diagnostic tests utilize only a small fraction of its total biomolecular repertoire, potentially foregoing high-resolution insights into human health and disease. In this work, we characterized the joint landscapes of transcriptomic and metabolomic signals in human urine. We also compared the urine transcriptome to plasma cell-free RNA, identifying a distinct cell type repertoire and enrichment for metabolic signal. Untargeted metabolomic measurements identified a complementary set of pathways to the transcriptomic analysis. Our findings suggest that urine is a promising biofluid yielding prognostic and detailed insights for hard-to-biopsy tissues with low representation in the blood, offering promise for a new generation of liquid biopsies.
Collapse
|
9
|
Zhang L, Li J. Unlocking the secrets: the power of methylation-based cfDNA detection of tissue damage in organ systems. Clin Epigenetics 2023; 15:168. [PMID: 37858233 PMCID: PMC10588141 DOI: 10.1186/s13148-023-01585-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 10/11/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND Detecting organ and tissue damage is essential for early diagnosis, treatment decisions, and monitoring disease progression. Methylation-based assays offer a promising approach, as DNA methylation patterns can change in response to tissue damage. These assays have potential applications in early detection, monitoring disease progression, evaluating treatment efficacy, and assessing organ viability for transplantation. cfDNA released into the bloodstream upon tissue or organ injury can serve as a biomarker for damage. The epigenetic state of cfDNA, including DNA methylation patterns, can provide insights into the extent of tissue and organ damage. CONTENT Firstly, this review highlights DNA methylation as an extensively studied epigenetic modification that plays a pivotal role in processes such as cell growth, differentiation, and disease development. It then presents a variety of highly precise 5-mC methylation detection techniques that serve as powerful tools for gaining profound insights into epigenetic alterations linked with tissue damage. Subsequently, the review delves into the mechanisms underlying DNA methylation changes in organ and tissue damage, encompassing inflammation, oxidative stress, and DNA damage repair mechanisms. Next, it addresses the current research status of cfDNA methylation in the detection of specific organ tissues and organ damage. Finally, it provides an overview of the multiple steps involved in identifying specific methylation markers associated with tissue and organ damage for clinical trials. This review will explore the mechanisms and current state of research on cfDNA methylation-based assay detecting organ and tissue damage, the underlying mechanisms, and potential applications in clinical practice.
Collapse
Affiliation(s)
- Lijing Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, No. 1 Dahua Road, Dongdan, Beijing, 100730, People's Republic of China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, No. 1 Dahua Road, Dongdan, Beijing, 100730, People's Republic of China.
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing Hospital, Beijing, People's Republic of China.
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China.
| |
Collapse
|
10
|
McNamara ME, Loyfer N, Kiliti AJ, Schmidt MO, Shabi-Porat S, Jain SS, Martinez Roth S, McDeed AP, Shahrour N, Ballew E, Lin YT, Li HH, Deslattes Mays A, Rudra S, Riegel AT, Unger K, Kaplan T, Wellstein A. Circulating cell-free methylated DNA reveals tissue-specific, cellular damage from radiation treatment. JCI Insight 2023; 8:e156529. [PMID: 37318863 PMCID: PMC10443812 DOI: 10.1172/jci.insight.156529] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 05/31/2023] [Indexed: 06/17/2023] Open
Abstract
Radiation therapy is an effective cancer treatment, although damage to healthy tissues is common. Here we analyzed cell-free, methylated DNA released from dying cells into the circulation to evaluate radiation-induced cellular damage in different tissues. To map the circulating DNA fragments to human and mouse tissues, we established sequencing-based, cell-type-specific reference DNA methylation atlases. We found that cell-type-specific DNA blocks were mostly hypomethylated and located within signature genes of cellular identity. Cell-free DNA fragments were captured from serum samples by hybridization to CpG-rich DNA panels and mapped to the DNA methylation atlases. In a mouse model, thoracic radiation-induced tissue damage was reflected by dose-dependent increases in lung endothelial and cardiomyocyte methylated DNA in serum. The analysis of serum samples from patients with breast cancer undergoing radiation treatment revealed distinct dose-dependent and tissue-specific epithelial and endothelial responses to radiation across multiple organs. Strikingly, patients treated for right-sided breast cancers also showed increased hepatocyte and liver endothelial DNA in the circulation, indicating the impact on liver tissues. Thus, changes in cell-free methylated DNA can uncover cell-type-specific effects of radiation and provide a readout of the biologically effective radiation dose received by healthy tissues.
Collapse
Affiliation(s)
- Megan E. McNamara
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | - Netanel Loyfer
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Amber J. Kiliti
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | - Marcel O. Schmidt
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | - Sapir Shabi-Porat
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Sidharth S. Jain
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | - Sarah Martinez Roth
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | - A. Patrick McDeed
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | - Nesreen Shahrour
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | | | - Yun-Tien Lin
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | - Heng-Hong Li
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | | | - Sonali Rudra
- Medstar Georgetown University Hospital, Washington DC, USA
| | - Anna T. Riegel
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | - Keith Unger
- Medstar Georgetown University Hospital, Washington DC, USA
| | - Tommy Kaplan
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Anton Wellstein
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| |
Collapse
|
11
|
Loy CJ, Sotomayor-Gonzalez A, Servellita V, Nguyen J, Lenz J, Bhattacharya S, Williams ME, Cheng AP, Bliss A, Saldhi P, Brazer N, Streithorst J, Suslovic W, Hsieh CJ, Bahar B, Wood N, Foresythe A, Gliwa A, Bhakta K, Perez MA, Hussaini L, Anderson EJ, Chahroudi A, Delaney M, Butte AJ, DeBiasi RL, Rostad CA, De Vlaminck I, Chiu CY. Nucleic acid biomarkers of immune response and cell and tissue damage in children with COVID-19 and MIS-C. Cell Rep Med 2023; 4:101034. [PMID: 37279751 PMCID: PMC10121104 DOI: 10.1016/j.xcrm.2023.101034] [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: 07/15/2022] [Revised: 11/28/2022] [Accepted: 04/11/2023] [Indexed: 06/08/2023]
Abstract
Differential host responses in coronavirus disease 2019 (COVID-19) and multisystem inflammatory syndrome in children (MIS-C) remain poorly characterized. Here, we use next-generation sequencing to longitudinally analyze blood samples from pediatric patients with COVID-19 or MIS-C across three hospitals. Profiling of plasma cell-free nucleic acids uncovers distinct signatures of cell injury and death between COVID-19 and MIS-C, with increased multiorgan involvement in MIS-C encompassing diverse cell types, including endothelial and neuronal cells, and an enrichment of pyroptosis-related genes. Whole-blood RNA profiling reveals upregulation of similar pro-inflammatory pathways in COVID-19 and MIS-C but also MIS-C-specific downregulation of T cell-associated pathways. Profiling of plasma cell-free RNA and whole-blood RNA in paired samples yields different but complementary signatures for each disease state. Our work provides a systems-level view of immune responses and tissue damage in COVID-19 and MIS-C and informs future development of new disease biomarkers.
Collapse
Affiliation(s)
- Conor J Loy
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA
| | - Alicia Sotomayor-Gonzalez
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jenny Nguyen
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Joan Lenz
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA
| | - Sanchita Bhattacharya
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA 94143, USA
| | | | - Alexandre P Cheng
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA
| | - Andrew Bliss
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA
| | - Prachi Saldhi
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Noah Brazer
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jessica Streithorst
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | | | - Charlotte J Hsieh
- Division of Pediatric Infectious Diseases and Global Health, Department of Pediatrics, University of California San Francisco, Oakland, CA 94609
| | - Burak Bahar
- Children's National Hospital, Washington, DC 20010, USA
| | - Nathan Wood
- UCSF Benioff Children's Hospital, Oakland, CA 94609, USA
| | - Abiodun Foresythe
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Amelia Gliwa
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Kushmita Bhakta
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA; Children's Healthcare of Atlanta, Atlanta, GA, 30322, USA
| | - Maria A Perez
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA; Children's Healthcare of Atlanta, Atlanta, GA, 30322, USA
| | - Laila Hussaini
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA; Children's Healthcare of Atlanta, Atlanta, GA, 30322, USA
| | - Evan J Anderson
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA; Children's Healthcare of Atlanta, Atlanta, GA, 30322, USA; Department of Medicine, Emory University School of Medicine, Atlanta, GA 30307, USA
| | - Ann Chahroudi
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA; Children's Healthcare of Atlanta, Atlanta, GA, 30322, USA
| | - Meghan Delaney
- Children's National Hospital, Washington, DC 20010, USA; The George Washington University School of Medicine, Washington, DC 20052, USA
| | - Atul J Butte
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Roberta L DeBiasi
- Children's National Hospital, Washington, DC 20010, USA; The George Washington University School of Medicine, Washington, DC 20052, USA
| | - Christina A Rostad
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, 30322, USA; Children's Healthcare of Atlanta, Atlanta, GA, 30322, USA
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA.
| | - Charles Y Chiu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA; Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, San Francisco, CA 94158, USA.
| |
Collapse
|
12
|
Thakku SG, Lirette J, Murugesan K, Chen J, Theron G, Banaei N, Blainey PC, Gomez J, Wong SY, Hung DT. Genome-wide tiled detection of circulating Mycobacterium tuberculosis cell-free DNA using Cas13. Nat Commun 2023; 14:1803. [PMID: 37002219 PMCID: PMC10064635 DOI: 10.1038/s41467-023-37183-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 03/06/2023] [Indexed: 04/03/2023] Open
Abstract
Detection of microbial cell-free DNA (cfDNA) circulating in the bloodstream has emerged as a promising new approach for diagnosing infection. Microbial diagnostics based on cfDNA require assays that can detect rare and highly fragmented pathogen nucleic acids. We now report WATSON (Whole-genome Assay using Tiled Surveillance Of Nucleic acids), a method to detect low amounts of pathogen cfDNA that couples pooled amplification of genomic targets tiled across the genome with pooled CRISPR/Cas13-based detection of these targets. We demonstrate that this strategy of tiling improves cfDNA detection compared to amplification and detection of a single targeted locus. WATSON can detect cfDNA from Mycobacterium tuberculosis in plasma of patients with active pulmonary tuberculosis, a disease that urgently needs accurate, minimally-invasive, field-deployable diagnostics. We thus demonstrate the potential for translating WATSON to a lateral flow platform. WATSON demonstrates the ability to capitalize on the strengths of targeting microbial cfDNA to address the need for point-of-care diagnostic tests for infectious diseases.
Collapse
Affiliation(s)
| | | | - Kanagavel Murugesan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Julie Chen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Niaz Banaei
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Clinical Microbiology Laboratory, Stanford Health Care, Palo Alto, CA, USA
| | - Paul C Blainey
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA, USA
| | - James Gomez
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sharon Y Wong
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Deborah T Hung
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
- Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA.
| |
Collapse
|
13
|
Johnson AC, Silva JAF, Kim SC, Larsen CP. Progress in kidney transplantation: The role for systems immunology. Front Med (Lausanne) 2022; 9:1070385. [PMID: 36590970 PMCID: PMC9800623 DOI: 10.3389/fmed.2022.1070385] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022] Open
Abstract
The development of systems biology represents an immense breakthrough in our ability to perform translational research and deliver personalized and precision medicine. A multidisciplinary approach in combination with use of novel techniques allows for the extraction and analysis of vast quantities of data even from the volume and source limited samples that can be obtained from human subjects. Continued advances in microfluidics, scalability and affordability of sequencing technologies, and development of data analysis tools have made the application of a multi-omics, or systems, approach more accessible for use outside of specialized centers. The study of alloimmune and protective immune responses after solid organ transplant offers innumerable opportunities for a multi-omics approach, however, transplant immunology labs are only just beginning to adopt the systems methodology. In this review, we focus on advances in biological techniques and how they are improving our understanding of the immune system and its interactions, highlighting potential applications in transplant immunology. First, we describe the techniques that are available, with emphasis on major advances that allow for increased scalability. Then, we review initial applications in the field of transplantation with a focus on topics that are nearing clinical integration. Finally, we examine major barriers to adapting these methods and discuss potential future developments.
Collapse
|
14
|
The cell-free DNA methylome captures distinctions between localized and metastatic prostate tumors. Nat Commun 2022; 13:6467. [PMID: 36309516 PMCID: PMC9617856 DOI: 10.1038/s41467-022-34012-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 10/07/2022] [Indexed: 12/25/2022] Open
Abstract
Metastatic prostate cancer remains a major clinical challenge and metastatic lesions are highly heterogeneous and difficult to biopsy. Liquid biopsy provides opportunities to gain insights into the underlying biology. Here, using the highly sensitive enrichment-based sequencing technology, we provide analysis of 60 and 175 plasma DNA methylomes from patients with localized and metastatic prostate cancer, respectively. We show that the cell-free DNA methylome can capture variations beyond the tumor. A global hypermethylation in metastatic samples is observed, coupled with hypomethylation in the pericentromeric regions. Hypermethylation at the promoter of a glucocorticoid receptor gene NR3C1 is associated with a decreased immune signature. The cell-free DNA methylome is reflective of clinical outcomes and can distinguish different disease types with 0.989 prediction accuracy. Finally, we show the ability of predicting copy number alterations from the data, providing opportunities for joint genetic and epigenetic analysis on limited biological samples.
Collapse
|
15
|
Mzava O, Cheng AP, Chang A, Smalling S, Djomnang LAK, Lenz JS, Longman R, Steadman A, Gómez-Escobar LG, Schenck EJ, Salvatore M, Satlin MJ, Suthanthiran M, Lee JR, Mason CE, Dadhania D, De Vlaminck I. A metagenomic DNA sequencing assay that is robust against environmental DNA contamination. Nat Commun 2022; 13:4197. [PMID: 35864089 PMCID: PMC9304412 DOI: 10.1038/s41467-022-31654-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/28/2022] [Indexed: 11/30/2022] Open
Abstract
Metagenomic DNA sequencing is a powerful tool to characterize microbial communities but is sensitive to environmental DNA contamination, in particular when applied to samples with low microbial biomass. Here, we present Sample-Intrinsic microbial DNA Found by Tagging and sequencing (SIFT-seq) a metagenomic sequencing assay that is robust against environmental DNA contamination introduced during sample preparation. The core idea of SIFT-seq is to tag the DNA in the sample prior to DNA isolation and library preparation with a label that can be recorded by DNA sequencing. Any contaminating DNA that is introduced in the sample after tagging can then be bioinformatically identified and removed. We applied SIFT-seq to screen for infections from microorganisms with low burden in blood and urine, to identify COVID-19 co-infection, to characterize the urinary microbiome, and to identify microbial DNA signatures of sepsis and inflammatory bowel disease in blood.
Collapse
Affiliation(s)
- Omary Mzava
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Alexandre Pellan Cheng
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Adrienne Chang
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Sami Smalling
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | | | - Joan Sesing Lenz
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Randy Longman
- Division of Gastroenterology and Hepatology, Weill Cornell Medicine, Jill Roberts Center for IBD, New York, NY, USA
| | | | - Luis G Gómez-Escobar
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Edward J Schenck
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Mirella Salvatore
- Divisionof Public Health Programs, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Michael J Satlin
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - John R Lee
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY, USA
- WorldQuant Initiative for Quantitative Prediction, New York, NY, 11238, USA
| | - Darshana Dadhania
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - Iwijn De Vlaminck
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
| |
Collapse
|
16
|
Jing Q, Leung CHC, Wu AR. Cell-Free DNA as Biomarker for Sepsis by Integration of Microbial and Host Information. Clin Chem 2022; 68:1184-1195. [PMID: 35771673 DOI: 10.1093/clinchem/hvac097] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 05/04/2022] [Indexed: 12/18/2022]
Abstract
BACKGROUND Cell-free DNA (cfDNA) is emerging as a biomarker for sepsis. Previous studies have been focused mainly on identifying blood infections or simply quantifying cfDNA. We propose that by characterizing multifaceted unexplored components, cfDNA could be more informative for assessing this complex syndrome. METHODS We explored multiple aspects of cfDNA in septic and nonseptic intensive care unit (ICU) patients by metagenomic sequencing, with longitudinal measurement and integrative assessment of plasma cfDNA quantity, human cfDNA fragmentation patterns, infecting pathogens, and overall microbial composition. RESULTS Septic patients had significantly increased cfDNA quantity and altered human cfDNA fragmentation pattern. Moreover, human cfDNA fragments appeared to comprise information about cellular oxidative stress and could indicate disease severity. Metagenomic sequencing was more sensitive than blood culture in detecting bacterial infections and allowed for simultaneous detection of viral pathogens. We found differences in microbial composition between septic and nonseptic patients and between survivors and nonsurvivors by 28-day mortality, both on the first day of ICU admission and across the study period. By integrating all the information into a machine learning model, we achieved improved performance in identifying sepsis and prediction of clinical outcome for ICU patients with areas under the curve of 0.992 (95% CI 0.969-1.000) and 0.802 (95% CI 0.605-0.999), respectively. CONCLUSIONS We were able to diagnose sepsis and predict mortality as soon as the first day of ICU admission by integrating multifaceted cfDNA information obtained in a single metagenomic assay; this approach could provide important advantages for clinical management and for improving outcomes in ICU patients.
Collapse
Affiliation(s)
- Qiuyu Jing
- Division of Life Science, Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Chi Hung Czarina Leung
- Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Angela Ruohao Wu
- Division of Life Science, Hong Kong University of Science and Technology, Hong Kong SAR, China.,Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, China.,Hong Kong Branch of Guangdong Southern Marine Science and Engineering Laboratory (Guangzhou), Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China
| |
Collapse
|
17
|
Jr JOR, Yoo J, Desai A, Brossart K, McCormick S, Malashevich AK, Bloom MS, Fehringer G, White R, Billings PR, Tabriziani H, Demko ZP, Gauthier P, Akkina SK, David-Neto E. Association between total cell free DNA and SARS-CoV-2 in Kidney Transplant Patients: A Preliminary Study. Transplant Proc 2022; 54:1446-1454. [PMID: 35618524 PMCID: PMC8920956 DOI: 10.1016/j.transproceed.2022.02.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/21/2022] [Accepted: 02/28/2022] [Indexed: 11/27/2022]
|
18
|
Hudecova I, Smith CG, Hänsel-Hertsch R, Chilamakuri CS, Morris JA, Vijayaraghavan A, Heider K, Chandrananda D, Cooper WN, Gale D, Garcia-Corbacho J, Pacey S, Baird RD, Rosenfeld N, Mouliere F. Characteristics, origin, and potential for cancer diagnostics of ultrashort plasma cell-free DNA. Genome Res 2022; 32:215-227. [PMID: 34930798 PMCID: PMC8805718 DOI: 10.1101/gr.275691.121] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 12/16/2021] [Indexed: 11/24/2022]
Abstract
Current evidence suggests that plasma cell-free DNA (cfDNA) is fragmented around a mode of 166 bp. Data supporting this view has been mainly acquired through the analysis of double-stranded cfDNA. The characteristics and diagnostic potential of single-stranded and damaged double-stranded cfDNA in healthy individuals and cancer patients remain unclear. Here, through a combination of high-affinity magnetic bead-based DNA extraction and single-stranded DNA sequencing library preparation (MB-ssDNA), we report the discovery of a large proportion of cfDNA fragments centered at ∼50 bp. We show that these "ultrashort" cfDNA fragments have a greater relative abundance in plasma of healthy individuals (median = 19.1% of all sequenced cfDNA fragments, n = 28) than in plasma of patients with cancer (median = 14.2%, n = 21, P < 0.0001). The ultrashort cfDNA fragments map to accessible chromatin regions of blood cells, particularly in promoter regions with the potential to adopt G-quadruplex (G4) DNA secondary structures. G4-positive promoter chromatin accessibility is significantly enriched in ultrashort plasma cfDNA fragments from healthy individuals relative to patients with cancers (P < 0.0001), in whom G4-cfDNA enrichment is inversely associated with copy number aberration-inferred tumor fractions. Our findings redraw the landscape of cfDNA fragmentation by identifying and characterizing a novel population of ultrashort plasma cfDNA fragments. Sequencing of MB-ssDNA libraries could facilitate the characterization of gene regulatory regions and DNA secondary structures via liquid biopsy. Our data underline the diagnostic potential of ultrashort cfDNA through classification for cancer patients.
Collapse
Affiliation(s)
- Irena Hudecova
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
| | - Christopher G Smith
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
| | - Robert Hänsel-Hertsch
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Center for Molecular Medicine Cologne CMMC, University of Cologne, 50931 Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne and University Hospital Cologne, 50931 Cologne, Germany
- Institute of Human Genetics, University Hospital Cologne, 50931 Cologne, Germany
| | - Chandra S Chilamakuri
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
| | - James A Morris
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
| | - Aadhitthya Vijayaraghavan
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
| | - Katrin Heider
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
| | - Dineika Chandrananda
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
| | - Wendy N Cooper
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
| | - Davina Gale
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
| | - Javier Garcia-Corbacho
- Clinical Trials Unit, Clinic Institute of Hematological and Oncological Diseases, Hospital Clinic, 170 08036 Barcelona, Spain
| | - Simon Pacey
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Department of Oncology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Richard D Baird
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Department of Oncology, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
| | - Nitzan Rosenfeld
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
| | - Florent Mouliere
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom
- Department of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Centre Amsterdam, 1081 HV Amsterdam, The Netherlands
| |
Collapse
|
19
|
Cheng AP, Cheng MP, Loy CJ, Lenz JS, Chen K, Smalling S, Burnham P, Timblin KM, Orejas JL, Silverman E, Polak P, Marty FM, Ritz J, De Vlaminck I. Cell-free DNA profiling informs all major complications of hematopoietic cell transplantation. Proc Natl Acad Sci U S A 2022; 119:e2113476118. [PMID: 35058359 PMCID: PMC8795552 DOI: 10.1073/pnas.2113476118] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 11/16/2021] [Indexed: 12/13/2022] Open
Abstract
Allogeneic hematopoietic cell transplantation (HCT) provides effective treatment for hematologic malignancies and immune disorders. Monitoring of posttransplant complications is critical, yet current diagnostic options are limited. Here, we show that cell-free DNA (cfDNA) in blood is a versatile analyte for monitoring of the most important complications that occur after HCT: graft-versus-host disease (GVHD), a frequent immune complication of HCT, infection, relapse of underlying disease, and graft failure. We demonstrate that these therapeutic complications are informed from a single assay, low-coverage bisulfite sequencing of cfDNA, followed by disease-specific bioinformatic analyses. To inform GVHD, we profile cfDNA methylation marks to trace the cfDNA tissues-of-origin and to quantify tissue-specific injury. To inform infection, we implement metagenomic cfDNA profiling. To inform cancer relapse, we implement analyses of tumor-specific genomic aberrations. Finally, to detect graft failure, we quantify the proportion of donor- and recipient-specific cfDNA. We applied this assay to 170 plasma samples collected from 27 HCT recipients at predetermined timepoints before and after allogeneic HCT. We found that the abundance of solid-organ-derived cfDNA in the blood at 1 mo after HCT is predictive of acute GVHD (area under the curve, 0.88). Metagenomic profiling of cfDNA revealed the frequent occurrence of viral reactivation in this patient population. The fraction of donor-specific cfDNA was indicative of relapse and remission, and the fraction of tumor-specific cfDNA was informative of cancer relapse. This proof-of-principle study shows that cfDNA has the potential to improve the care of allogeneic HCT recipients by enabling earlier detection and better prediction of the complex array of complications that occur after HCT.
Collapse
Affiliation(s)
| | - Matthew Pellan Cheng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215
- Division of Infectious Disease, Brigham and Women's Hospital, Boston, MA 02215
| | - Conor James Loy
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853
| | - Joan Sesing Lenz
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853
| | - Kaiwen Chen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215
- Division of Infectious Disease, Brigham and Women's Hospital, Boston, MA 02215
| | - Sami Smalling
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853
| | - Philip Burnham
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104
| | - Kaitlyn Marie Timblin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215
- Division of Infectious Disease, Brigham and Women's Hospital, Boston, MA 02215
| | - José Luis Orejas
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215
- Division of Infectious Disease, Brigham and Women's Hospital, Boston, MA 02215
| | - Emily Silverman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215
- Division of Infectious Disease, Brigham and Women's Hospital, Boston, MA 02215
| | - Paz Polak
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Francisco M Marty
- Division of Infectious Disease, Brigham and Women's Hospital, Boston, MA 02215
- Department of Medicine, Harvard Medical School, Boston, MA 02115
| | - Jerome Ritz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215
- Department of Medicine, Harvard Medical School, Boston, MA 02115
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853;
| |
Collapse
|
20
|
Burnham P, Chen F, Cheng AP, Srivatana V, Zhang LT, Edusei E, Albakry S, Botticelli B, Guo X, Renaghan A, Silberzweig J, Dadhania DM, Lenz JS, Heyang M, Iliev ID, Hayden JA, Westblade LF, De Vlaminck I, Lee JR. Peritoneal Effluent Cell-Free DNA Sequencing in Peritoneal Dialysis Patients With and Without Peritonitis. Kidney Med 2022; 4:100383. [PMID: 35072047 PMCID: PMC8767090 DOI: 10.1016/j.xkme.2021.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Rationale & Objective Conventional culture can be insensitive for the detection of rare infections and for the detection of common infections in the setting of recent antibiotic usage. Patients receiving peritoneal dialysis (PD) with suspected peritonitis have a significant proportion of negative conventional cultures. This study examines the utility of metagenomic sequencing of peritoneal effluent cell-free DNA (cfDNA) for evaluating the peritoneal effluent in PD patients with and without peritonitis. Study Design Prospective cohort study. Setting & Participants We prospectively characterized cfDNA in 68 peritoneal effluent samples obtained from 33 patients receiving PD at a single center from September 2016 to July 2018. Outcomes Peritoneal effluent, microbial, and human cfDNA characteristics were evaluated in culture-confirmed peritonitis and culture-negative peritonitis. Analytical Approach Descriptive statistics were analyzed and microbial cfDNA was detected in culture-confirmed peritonitis and culture-negative peritonitis. Results Metagenomic sequencing of cfDNA was able to detect and identify bacterial, viral, and eukaryotic pathogens in the peritoneal effluent from PD patients with culture-confirmed peritonitis, as well as patients with recent antibiotic usage and in cases of culture-negative peritonitis. Limitations Parallel cultures were not obtained in all the peritoneal effluent specimens. Conclusions Metagenomic cfDNA sequencing of the peritoneal effluent can identify pathogens in PD patients with peritonitis, including culture-negative peritonitis.
Collapse
|
21
|
Chang A, Mzava O, Lenz JS, Cheng AP, Burnham P, Motley ST, Bennett C, Connelly JT, Dadhania DM, Suthanthiran M, Lee JR, Steadman A, De Vlaminck I. Measurement Biases Distort Cell-Free DNA Fragmentation Profiles and Define the Sensitivity of Metagenomic Cell-Free DNA Sequencing Assays. Clin Chem 2021; 68:163-171. [PMID: 34718476 PMCID: PMC8718127 DOI: 10.1093/clinchem/hvab142] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 06/24/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Metagenomic sequencing of microbial cell-free DNA (cfDNA) in blood and urine is increasingly used as a tool for unbiased infection screening. The sensitivity of metagenomic cfDNA sequencing assays is determined by the efficiency by which the assay recovers microbial cfDNA vs host-specific cfDNA. We hypothesized that the choice of methods used for DNA isolation, DNA sequencing library preparation, and sequencing would affect the sensitivity of metagenomic cfDNA sequencing. METHODS We characterized the fragment length biases inherent to select DNA isolation and library preparation procedures and developed a model to correct for these biases. We analyzed 305 cfDNA sequencing data sets, including publicly available data sets and 124 newly generated data sets, to evaluate the dependence of the sensitivity of metagenomic cfDNA sequencing on pre-analytical variables. RESULTS Length bias correction of fragment length distributions measured from different experimental procedures revealed the ultrashort (<100 bp) nature of microbial-, mitochondrial-, and host-specific urinary cfDNA. The sensitivity of metagenomic sequencing assays to detect the clinically reported microorganism differed by more than 5-fold depending on the combination of DNA isolation and library preparation used. CONCLUSIONS Substantial gains in the sensitivity of microbial and other short fragment recovery can be achieved by easy-to-implement changes in the sample preparation protocol, which highlights the need for standardization in the liquid biopsy field.
Collapse
Affiliation(s)
- Adrienne Chang
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Omary Mzava
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Joan S Lenz
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Alexandre P Cheng
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Philip Burnham
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | | | - Crissa Bennett
- Global Good Fund, Intellectual Ventures Lab, Bellevue, WA, USA
| | | | - Darshana M Dadhania
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Transplantation Medicine, New York Presbyterian Hospital, Weill Cornell Medical Center, New York, NY, USA
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Transplantation Medicine, New York Presbyterian Hospital, Weill Cornell Medical Center, New York, NY, USA
| | - John R Lee
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Transplantation Medicine, New York Presbyterian Hospital, Weill Cornell Medical Center, New York, NY, USA
| | | | - Iwijn De Vlaminck
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| |
Collapse
|
22
|
Wasuwanich P, Sirisreetreerux P, Ingviya T, Kraus ES, Brennan DC, Sue PK, Jackson AM, Oshima K, Philosophe B, Montgomery RA, Karnsakul W. Hepatitis E virus infection and rejection in kidney transplant recipients. Transpl Immunol 2021; 70:101517. [PMID: 34923120 DOI: 10.1016/j.trim.2021.101517] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/10/2021] [Accepted: 12/12/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Hepatitis E virus (HEV) infection has been associated with immune-mediated kidney diseases in developing countries. However, its relationship with kidney transplant outcomes has never been studied. We investigated the association between HEV infection and kidney graft rejection among kidney transplant recipients (KTRs). METHODS We conducted a matched cohort and longitudinal study utilizing banked sera following kidney transplantation during 1988-2012. Studies with evidence of post-transplantation HEV infection were identified by positive ELISA tests (anti-HEV IgM or anti-HEV IgG seroconversion) or positive HEV PCR and matched to KTR controls with negative HEV ELISA and PCR tests in a 1:5 ratio by age, sex, crossmatch status, immunosuppression era, and time of HEV testing. Outcome data collected included time to first kidney graft rejection, transaminases, and glomerular filtration rates. Log-ranked test was used to analyze survival. RESULTS Of 271 KTRs, 9 (3%) had evidence of post-transplantation HEV infection and were compared to 45 negative, matched controls. Median age at transplantation was 46 years. Kidney graft rejection was reported in 8 (89%) of cases and 21 (47%) of controls. Median time to first episode of kidney graft rejection was 17.4 months in cases and 30.8 months in controls (p = 0.029), with a higher hazard of developing kidney graft rejection in cases (HR = 3.23, 95% CI: 1.19-8.79). Lower mean glomerular filtration rates over time were observed in cases (35 mL/min/1.73m2) versus controls (42.4 mL/min/1.73m2) but did not reach significance (p = 0.24). CONCLUSION Subjects with evidence of post-transplantation HEV infection demonstrated earlier kidney graft rejection compared to controls.
Collapse
Affiliation(s)
- Paul Wasuwanich
- Division of Pediatric Gastroenterology, Nutrition, and Hepatology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Thammasin Ingviya
- Department of Environmental Health Sciences, Johns Hopkins University, Baltimore, MD, USA; Department of Family and Preventive Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Edward S Kraus
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel C Brennan
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Paul K Sue
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Annette M Jackson
- Departments of Surgery and Immunology, Duke University, Durham, NC, USA
| | - Kiyoko Oshima
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Benjamin Philosophe
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Robert A Montgomery
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA; NYU Langone Transplant Institute, New York University Langone Health, New York, NY, USA
| | - Wikrom Karnsakul
- Division of Pediatric Gastroenterology, Nutrition, and Hepatology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| |
Collapse
|
23
|
Abstract
PURPOSE OF REVIEW Research in the past decade has revealed important implications for the microbiome in human health. Studies have defined a distinct gut microbiota in kidney transplant recipients and have recently linked the microbiota to infectious complications, similar to the allogeneic stem cell transplant population. RECENT FINDINGS In this review, we focus on the metabolism of immunosuppressive medications by the gut microbiota and on the urinary microbiome in the setting of infectious and immunological complications. We highlight seminal studies showing the role of specific gut microbiota in the direct metabolism of tacrolimus into a lesser effective immunosuppressant as well as the role of the gut microbiota in the metabolism of mycophenolic acid (MPA) glucuronide. We describe distinct urinary microbiota patterns in kidney transplant recipients with interstitial fibrosis tubular atrophy, chronic allograft nephropathy, tolerance, and bacterial and viral complications. SUMMARY The microbiota has important implications for immunosuppressive medications and immunological outcomes in kidney transplant recipients. Further research is needed to better delineate the impact of the metabolism of tacrolimus and MPA by gut bacteria and the role of the urine microbiota in the development of immunological and infectious complications.
Collapse
Affiliation(s)
| | | | - Tarek Barbar
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine
| | - John R Lee
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine
- Department of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA
| |
Collapse
|
24
|
Fox-Fisher I, Piyanzin S, Ochana BL, Klochendler A, Magenheim J, Peretz A, Loyfer N, Moss J, Cohen D, Drori Y, Friedman N, Mandelboim M, Rothenberg ME, Caldwell JM, Rochman M, Jamshidi A, Cann G, Lavi D, Kaplan T, Glaser B, Shemer R, Dor Y. Remote immune processes revealed by immune-derived circulating cell-free DNA. eLife 2021; 10:70520. [PMID: 34842142 PMCID: PMC8651286 DOI: 10.7554/elife.70520] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 11/24/2021] [Indexed: 01/08/2023] Open
Abstract
Blood cell counts often fail to report on immune processes occurring in remote tissues. Here, we use immune cell type-specific methylation patterns in circulating cell-free DNA (cfDNA) for studying human immune cell dynamics. We characterized cfDNA released from specific immune cell types in healthy individuals (N = 242), cross sectionally and longitudinally. Immune cfDNA levels had no individual steady state as opposed to blood cell counts, suggesting that cfDNA concentration reflects adjustment of cell survival to maintain homeostatic cell numbers. We also observed selective elevation of immune-derived cfDNA upon perturbations of immune homeostasis. Following influenza vaccination (N = 92), B-cell-derived cfDNA levels increased prior to elevated B-cell counts and predicted efficacy of antibody production. Patients with eosinophilic esophagitis (N = 21) and B-cell lymphoma (N = 27) showed selective elevation of eosinophil and B-cell cfDNA, respectively, which were undetectable by cell counts in blood. Immune-derived cfDNA provides a novel biomarker for monitoring immune responses to physiological and pathological processes that are not accessible using conventional methods.
Collapse
Affiliation(s)
- Ilana Fox-Fisher
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research, Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Sheina Piyanzin
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research, Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Bracha Lea Ochana
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research, Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Agnes Klochendler
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research, Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Judith Magenheim
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research, Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Ayelet Peretz
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research, Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Netanel Loyfer
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Joshua Moss
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research, Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Daniel Cohen
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research, Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Yaron Drori
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel, and Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Nehemya Friedman
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel, and Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Michal Mandelboim
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel, and Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Ramat-Gan, Israel
| | - Marc E Rothenberg
- Division of Allergy and Immunology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, United States
| | - Julie M Caldwell
- Division of Allergy and Immunology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, United States
| | - Mark Rochman
- Division of Allergy and Immunology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, United States
| | | | | | - David Lavi
- Department of Hematology, Hadassah Hebrew University Medical Center, Jerusalem, Israel
| | - Tommy Kaplan
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.,Department of Developmental Biology and Cancer Research, The Institute for Medical Research, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Benjamin Glaser
- Endocrinology and Metabolism Service, Hadassah Hebrew University Medical Center, Jerusalem, Israel
| | - Ruth Shemer
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research, Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Yuval Dor
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research, Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| |
Collapse
|
25
|
Mzava O, Cheng AP, Chang A, Smalling S, Djomnang Kounatse LA, Lenz J, Longman R, Steadman A, Salvatore M, Suthanthiran M, Lee JR, Mason CE, Dadhania D, De Vlaminck I. A metagenomic DNA sequencing assay that is robust against environmental DNA contamination. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021. [PMID: 34845444 DOI: 10.1101/2021.12.02.470912v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
Metagenomic DNA sequencing is a powerful tool to characterize microbial communities but is sensitive to environmental DNA contamination, in particular when applied to samples with low microbial biomass. Here, we present contamination-free metagenomic DNA sequencing (Coffee-seq), a metagenomic sequencing assay that is robust against environmental contamination. The core idea of Coffee-seq is to tag the DNA in the sample prior to DNA isolation and library preparation with a label that can be recorded by DNA sequencing. Any contaminating DNA that is introduced in the sample after tagging can then be bioinformatically identified and removed. We applied Coffee-seq to screen for infections from microorganisms with low burden in blood and urine, to identify COVID-19 co-infection, to characterize the urinary microbiome, and to identify microbial DNA signatures of inflammatory bowel disease in blood.
Collapse
Affiliation(s)
- Omary Mzava
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | - Alexandre Pellan Cheng
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | - Adrienne Chang
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | - Sami Smalling
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | | | - Joan Lenz
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | - Randy Longman
- Jill Roberts Center for IBD, Weill Cornell Medicine, Division of Gastroenterology and Hepatology, New York, NY, USA
| | | | - Mirella Salvatore
- Division of Public Health Programs, Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, 10065, USA.,Department of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - John R Lee
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, 10065, USA.,Department of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY, USA
| | - Darshana Dadhania
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, 10065, USA.,Department of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, 10065, USA
| | - Iwijn De Vlaminck
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| |
Collapse
|
26
|
Mzava O, Cheng AP, Chang A, Smalling S, Djomnang Kounatse LA, Lenz J, Longman R, Steadman A, Salvatore M, Suthanthiran M, Lee JR, Mason CE, Dadhania D, De Vlaminck I. A metagenomic DNA sequencing assay that is robust against environmental DNA contamination. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.11.22.469599. [PMID: 34845444 PMCID: PMC8629186 DOI: 10.1101/2021.11.22.469599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Metagenomic DNA sequencing is a powerful tool to characterize microbial communities but is sensitive to environmental DNA contamination, in particular when applied to samples with low microbial biomass. Here, we present contamination-free metagenomic DNA sequencing (Coffee-seq), a metagenomic sequencing assay that is robust against environmental contamination. The core idea of Coffee-seq is to tag the DNA in the sample prior to DNA isolation and library preparation with a label that can be recorded by DNA sequencing. Any contaminating DNA that is introduced in the sample after tagging can then be bioinformatically identified and removed. We applied Coffee-seq to screen for infections from microorganisms with low burden in blood and urine, to identify COVID-19 co-infection, to characterize the urinary microbiome, and to identify microbial DNA signatures of inflammatory bowel disease in blood.
Collapse
Affiliation(s)
- Omary Mzava
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | - Alexandre Pellan Cheng
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | - Adrienne Chang
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | - Sami Smalling
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | | | - Joan Lenz
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| | - Randy Longman
- Jill Roberts Center for IBD, Weill Cornell Medicine, Division of Gastroenterology and Hepatology, New York, NY, USA
| | | | - Mirella Salvatore
- Division of Public Health Programs, Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Transplantation Medicine, New York Presbyterian Hospital–Weill Cornell Medical Center, New York, NY, 10065, USA
| | - John R. Lee
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Transplantation Medicine, New York Presbyterian Hospital–Weill Cornell Medical Center, New York, NY, 10065, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY, USA
| | - Darshana Dadhania
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Transplantation Medicine, New York Presbyterian Hospital–Weill Cornell Medical Center, New York, NY, 10065, USA
| | - Iwijn De Vlaminck
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA
| |
Collapse
|
27
|
Schuele L, Cassidy H, Peker N, Rossen JWA, Couto N. Future potential of metagenomics in clinical laboratories. Expert Rev Mol Diagn 2021; 21:1273-1285. [PMID: 34755585 DOI: 10.1080/14737159.2021.2001329] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Rapid and sensitive diagnostic strategies are necessary for patient care and public health. Most of the current conventional microbiological assays detect only a restricted panel of pathogens at a time or require a microbe to be successfully cultured from a sample. Clinical metagenomics next-generation sequencing (mNGS) has the potential to unbiasedly detect all pathogens in a sample, increasing the sensitivity for detection and enabling the discovery of unknown infectious agents. AREAS COVERED High expectations have been built around mNGS; however, this technique is far from widely available. This review highlights the advances and currently available options in terms of costs, turnaround time, sensitivity, specificity, validation, and reproducibility of mNGS as a diagnostic tool in clinical microbiology laboratories. EXPERT OPINION The need for a novel diagnostic tool to increase the sensitivity of microbial diagnostics is clear. mNGS has the potential to revolutionise clinical microbiology. However, its role as a diagnostic tool has yet to be widely established, which is crucial for successfully implementing the technique. A clear definition of diagnostic algorithms that include mNGS is vital to show clinical utility. Similarly to real-time PCR, mNGS will one day become a vital tool in any testing algorithm.
Collapse
Affiliation(s)
- Leonard Schuele
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands
| | - Hayley Cassidy
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands
| | - Nilay Peker
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands
| | - John W A Rossen
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands.,Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Natacha Couto
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands.,The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
| |
Collapse
|
28
|
Casto AM, Fredricks DN, Hill JA. Diagnosis of infectious diseases in immunocompromised hosts using metagenomic next generation sequencing-based diagnostics. Blood Rev 2021; 53:100906. [PMID: 34802773 DOI: 10.1016/j.blre.2021.100906] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 10/28/2021] [Accepted: 11/01/2021] [Indexed: 02/07/2023]
Abstract
The diagnosis of infectious diseases in immunocompromised hosts presents unique challenges for the clinician. Metagenomic next generation sequencing (mNGS) based diagnostics that identify microbial nucleic acids in clinical samples (mNGS for pathogen identification or mNGSpi) may be a useful tool in addressing some of these challenges. Studies of mNGSpi in immunocompromised hosts have demonstrated that these diagnostics are capable of identifying causative organisms in a subset of patients for whom conventional testing has been negative. While these studies provide proof of concept for mNGSpi utility, they have a number of limitations, which make it difficult to confidently assess test performance and clinical impact based on current data. Future studies will likely feature larger cohort sizes and controlled interventional study designs that assess the impact of mNGSpi on clinical endpoints. They will also likely include assessments of the clinical value of data generated by mNGS beyond pathogen identification.
Collapse
Affiliation(s)
- Amanda M Casto
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, United States of America; Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
| | - David N Fredricks
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, United States of America; Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
| | - Joshua A Hill
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, United States of America; Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
| |
Collapse
|
29
|
Blomain ES, Moding EJ. Liquid Biopsies for Molecular Biology-Based Radiotherapy. Int J Mol Sci 2021; 22:11267. [PMID: 34681925 PMCID: PMC8538046 DOI: 10.3390/ijms222011267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/13/2021] [Accepted: 10/15/2021] [Indexed: 11/29/2022] Open
Abstract
Molecular alterations drive cancer initiation and evolution during development and in response to therapy. Radiotherapy is one of the most commonly employed cancer treatment modalities, but radiobiologic approaches for personalizing therapy based on tumor biology and individual risks remain to be defined. In recent years, analysis of circulating nucleic acids has emerged as a non-invasive approach to leverage tumor molecular abnormalities as biomarkers of prognosis and treatment response. Here, we evaluate the roles of circulating tumor DNA and related analyses as powerful tools for precision radiotherapy. We highlight emerging work advancing liquid biopsies beyond biomarker studies into translational research investigating tumor clonal evolution and acquired resistance.
Collapse
Affiliation(s)
- Erik S. Blomain
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA;
| | - Everett J. Moding
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA;
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| |
Collapse
|
30
|
Jackson AM, Amato-Menker C, Bettinotti M. Cell-free DNA diagnostics in transplantation utilizing next generation sequencing. Hum Immunol 2021; 82:850-858. [PMID: 34600770 DOI: 10.1016/j.humimm.2021.07.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/29/2021] [Accepted: 07/12/2021] [Indexed: 12/25/2022]
Abstract
The use of Next Generation Sequencing (NGS) to interrogate cell-free DNA (cfDNA) as a transplant diagnostic provides a crucial step in improving the accuracy of post-transplant monitoring of allograft health. cfDNA interrogation provides a powerful, yet minimally invasive, biomarker for disease and tissue injury. cfDNA can be isolated from a variety of body fluids and analyzed using bioinformatics to unlock its origins. Furthermore, cfDNA characteristics can reveal the mechanisms and conditions under which it was generated and released. In transplantation, donor-derived cfDNA monitoring provides a tool for identifying active allograft injury at the time of transplant, infection, and rejection. Multiple detection and interrogation methods for cfDNA detection are now being evaluated for clinical validity and hold the promise to provide minimally invasive, quantitative, and reproducible measures of allograft injury across organ types.
Collapse
Affiliation(s)
- Annette M Jackson
- Duke University, Department of Surgery, DUMC Box 2645, Durham, NC 27710, USA.
| | - Carly Amato-Menker
- West Virginia University, Microbiology, Immunology, and Cell Biology, Morgantown, WV, USA
| | - Maria Bettinotti
- Johns Hopkins University, Department of Pathology, 2041 E. Monument Street, Baltimore, MD 21205, USA
| |
Collapse
|
31
|
Lubetzky ML, Salinas T, Schwartz JE, Suthanthiran M. Urinary Cell mRNA Profiles Predictive of Human Kidney Allograft Status. Clin J Am Soc Nephrol 2021; 16:1565-1577. [PMID: 33906907 PMCID: PMC8499006 DOI: 10.2215/cjn.14010820] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Immune monitoring of kidney allograft recipients and personalized therapeutics may help reach the aspirational goal of "one transplant for life." The invasive kidney biopsy procedure, the diagnostic tool of choice, has become safer and the biopsy classification more refined. Nevertheless, biopsy-associated complications, interobserver variability in biopsy specimen scoring, and costs continue to be significant concerns. The dynamics of the immune repertoire make frequent assessments of allograft status necessary, but repeat biopsies of the kidney are neither practical nor safe. To address the existing challenges, we developed urinary cell mRNA profiling and investigated the diagnostic, prognostic, and predictive accuracy of absolute levels of a hypothesis-based panel of mRNAs encoding immunoregulatory proteins. Enabled by our refinements of the PCR assay and by investigating mechanistic hypotheses, our single-center studies identified urinary cell mRNAs associated with T cell-mediated rejection, antibody-mediated rejection, interstitial fibrosis and tubular atrophy, and BK virus nephropathy. In the multicenter National Institutes of Health Clinical Trials in Organ Transplantation-04, we discovered and validated a urinary cell three-gene signature of T-cell CD3 ε chain mRNA, interferon gamma inducible protein 10 (IP-10) mRNA, and 18s ribosomal RNA that is diagnostic of subclinical acute cellular rejection and acute cellular rejection and prognostic of acute cellular rejection and graft function. The trajectory of the signature score remained flat and below the diagnostic threshold for acute cellular rejection in the patients with no rejection biopsy specimens, whereas a sharp rise was observed during the weeks before the biopsy specimen that showed acute cellular rejection. Our RNA sequencing and bioinformatics identified kidney allograft biopsy specimen gene signatures of acute rejection to be enriched in urinary cells matched to acute rejection biopsy specimens. The urinary cellular landscape was more diverse and more enriched for immune cell types compared with kidney allograft biopsy specimens. Urinary cell mRNA profile-guided clinical trials are needed to evaluate their value compared with current standard of care.
Collapse
Affiliation(s)
- Michelle L. Lubetzky
- Division of Nephrology and Hypertension, Weill Cornell Department of Medicine, New York, New York,Department of Transplantation Medicine, New York–Presbyterian Hospital, New York, New York
| | - Thalia Salinas
- Division of Nephrology and Hypertension, Weill Cornell Department of Medicine, New York, New York,Department of Transplantation Medicine, New York–Presbyterian Hospital, New York, New York
| | - Joseph E. Schwartz
- Division of Nephrology and Hypertension, Weill Cornell Department of Medicine, New York, New York,Department of Transplantation Medicine, New York–Presbyterian Hospital, New York, New York,Department of Psychiatry and Behavioral Sciences, Stony Brook Renaissance School of Medicine, Stony Brook, New York
| | - Manikkam Suthanthiran
- Division of Nephrology and Hypertension, Weill Cornell Department of Medicine, New York, New York,Department of Transplantation Medicine, New York–Presbyterian Hospital, New York, New York
| |
Collapse
|
32
|
Yan G, Liu J, Chen W, Chen Y, Cheng Y, Tao J, Cai X, Zhou Y, Wang Y, Wang M, Lu G. Metagenomic Next-Generation Sequencing of Bloodstream Microbial Cell-Free Nucleic Acid in Children With Suspected Sepsis in Pediatric Intensive Care Unit. Front Cell Infect Microbiol 2021; 11:665226. [PMID: 34504805 PMCID: PMC8421769 DOI: 10.3389/fcimb.2021.665226] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 08/05/2021] [Indexed: 11/21/2022] Open
Abstract
Bloodstream infection is a life-threatening complication in critically ill patients. Multi-drug resistant bacteria or fungi may increase the risk of invasive infections in hospitalized children and are difficult to treat in intensive care units. The purpose of this study was to use metagenomic next-generation sequencing (mNGS) to understand the bloodstream microbiomes of children with suspected sepsis in a pediatric intensive care unit (PICU). mNGS were performed on microbial cell-free nucleic acid from 34 children admitted to PICU, and potentially pathogenic microbes were identified. The associations of serological inflammation indicators, lymphocyte subpopulations, and other clinical phenotypes were also examined. mNGS of blood samples from children in PICU revealed potential eukaryotic microbial pathogens. The abundance of Pneumocystis jirovecii was positively correlated with a decrease in total white blood cell count and immunodeficiency. Hospital-acquired pneumonia patients showed a significant increase in blood bacterial species richness compared with community-acquired pneumonia children. The abundance of bloodstream bacteria was positively correlated with serum procalcitonin level. Microbial genome sequences from potential pathogens were detected in the bloodstream of children with suspected sepsis in PICU, suggesting the presence of bloodstream infections in these children.
Collapse
Affiliation(s)
- Gangfeng Yan
- Paediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Jing Liu
- Paediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Weiming Chen
- Paediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Yang Chen
- Paediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Ye Cheng
- Paediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Jinhao Tao
- Paediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Xiaodi Cai
- Paediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Yang Zhou
- BGI PathoGenesis Pharmaceutical Technology Co., Ltd, BGI-Shenzhen, Shenzhen, China
| | - Yixue Wang
- Paediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Mingbang Wang
- Shanghai Key Laboratory of Birth Defects, National Health Commission (NHC) Key Laboratory of Neonatal Diseases, Division of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Guoping Lu
- Paediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| |
Collapse
|
33
|
Siejka-Zielińska P, Cheng J, Jackson F, Liu Y, Soonawalla Z, Reddy S, Silva M, Puta L, McCain MV, Culver EL, Bekkali N, Schuster-Böckler B, Palamara PF, Mann D, Reeves H, Barnes E, Sivakumar S, Song CX. Cell-free DNA TAPS provides multimodal information for early cancer detection. SCIENCE ADVANCES 2021; 7:eabh0534. [PMID: 34516908 PMCID: PMC8442905 DOI: 10.1126/sciadv.abh0534] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 07/14/2021] [Indexed: 05/05/2023]
Abstract
Multimodal, genome-wide characterization of epigenetic and genetic information in circulating cell-free DNA (cfDNA) could enable more sensitive early cancer detection, but it is technologically challenging. Recently, we developed TET-assisted pyridine borane sequencing (TAPS), which is a mild, bisulfite-free method for base-resolution direct DNA methylation sequencing. Here, we optimized TAPS for cfDNA (cfTAPS) to provide high-quality and high-depth whole-genome cell-free methylomes. We applied cfTAPS to 85 cfDNA samples from patients with hepatocellular carcinoma (HCC) or pancreatic ductal adenocarcinoma (PDAC) and noncancer controls. From only 10 ng of cfDNA (1 to 3 ml of plasma), we generated the most comprehensive cfDNA methylome to date. We demonstrated that cfTAPS provides multimodal information about cfDNA characteristics, including DNA methylation, tissue of origin, and DNA fragmentation. Integrated analysis of these epigenetic and genetic features enables accurate identification of early HCC and PDAC.
Collapse
Affiliation(s)
- Paulina Siejka-Zielińska
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Jingfei Cheng
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Felix Jackson
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Computer Science, University of Oxford, Oxford, UK
| | - Yibin Liu
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Srikanth Reddy
- Oxford Transplant Centre, Churchill Hospital, Oxford, UK
| | - Michael Silva
- Department of HPB Surgery, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Luminita Puta
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Misti Vanette McCain
- Newcastle University Translational and Clinical Research Institute, The Medical School, Newcastle University, Newcastle upon Tyne, UK
- Newcastle University Centre for Cancer, The Medical School, Newcastle University, Newcastle upon Tyne, UK
| | - Emma L. Culver
- Peter Medawar Building and Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Noor Bekkali
- Department of Gastroenterology, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Benjamin Schuster-Böckler
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Big Data Institute, University of Oxford, Oxford, UK
| | - Pier Francesco Palamara
- Department of Statistics, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Derek Mann
- Newcastle University Translational and Clinical Research Institute, The Medical School, Newcastle University, Newcastle upon Tyne, UK
- Newcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Fibrofind, Medical School, Newcastle University, Newcastle upon Tyne, UK
| | - Helen Reeves
- Newcastle University Translational and Clinical Research Institute, The Medical School, Newcastle University, Newcastle upon Tyne, UK
- Newcastle University Centre for Cancer, The Medical School, Newcastle University, Newcastle upon Tyne, UK
- Liver Unit, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Eleanor Barnes
- Peter Medawar Building and Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Shivan Sivakumar
- Department of Oncology, University of Oxford, Oxford, UK
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Chun-Xiao Song
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| |
Collapse
|
34
|
Guzmán-Solís AA, Villa-Islas V, Bravo-López MJ, Sandoval-Velasco M, Wesp JK, Gómez-Valdés JA, Moreno-Cabrera MDLL, Meraz A, Solís-Pichardo G, Schaaf P, TenOever BR, Blanco-Melo D, Ávila Arcos MC. Ancient viral genomes reveal introduction of human pathogenic viruses into Mexico during the transatlantic slave trade. eLife 2021; 10:e68612. [PMID: 34350829 PMCID: PMC8423449 DOI: 10.7554/elife.68612] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 07/30/2021] [Indexed: 02/06/2023] Open
Abstract
After the European colonization of the Americas, there was a dramatic population collapse of the Indigenous inhabitants caused in part by the introduction of new pathogens. Although there is much speculation on the etiology of the Colonial epidemics, direct evidence for the presence of specific viruses during the Colonial era is lacking. To uncover the diversity of viral pathogens during this period, we designed an enrichment assay targeting ancient DNA (aDNA) from viruses of clinical importance and applied it to DNA extracts from individuals found in a Colonial hospital and a Colonial chapel (16th-18th century) where records suggest that victims of epidemics were buried during important outbreaks in Mexico City. This allowed us to reconstruct three ancient human parvovirus B19 genomes and one ancient human hepatitis B virus genome from distinct individuals. The viral genomes are similar to African strains, consistent with the inferred morphological and genetic African ancestry of the hosts as well as with the isotopic analysis of the human remains, suggesting an origin on the African continent. This study provides direct molecular evidence of ancient viruses being transported to the Americas during the transatlantic slave trade and their subsequent introduction to New Spain. Altogether, our observations enrich the discussion about the etiology of infectious diseases during the Colonial period in Mexico.
Collapse
Affiliation(s)
- Axel A Guzmán-Solís
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de MéxicoQuerétaroMexico
| | - Viridiana Villa-Islas
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de MéxicoQuerétaroMexico
| | - Miriam J Bravo-López
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de MéxicoQuerétaroMexico
| | - Marcela Sandoval-Velasco
- Section for Evolutionary Genomics, The Globe Institute, Faculty of Health, University of CopenhagenCopenhagenDenmark
| | - Julie K Wesp
- Department of Sociology and Anthropology, North Carolina State UniversityRaleighUnited States
| | | | | | - Alejandro Meraz
- Instituto Nacional de Antropología e HistoriaMexico CityMexico
| | - Gabriela Solís-Pichardo
- Laboratorio Universitario de Geoquímica Isotópica (LUGIS), Instituto de Geología, Universidad Nacional Autónoma de MéxicoMexico CityMexico
| | - Peter Schaaf
- LUGIS, Instituto de Geofísica, Universidad Nacional Autónoma de MéxicoMexico CityMexico
| | - Benjamin R TenOever
- Department of Microbiology, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Daniel Blanco-Melo
- Department of Microbiology, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research CenterSeattle, WAUnited States
| | - María C Ávila Arcos
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de MéxicoQuerétaroMexico
| |
Collapse
|
35
|
Barefoot ME, Loyfer N, Kiliti AJ, McDeed AP, Kaplan T, Wellstein A. Detection of Cell Types Contributing to Cancer From Circulating, Cell-Free Methylated DNA. Front Genet 2021; 12:671057. [PMID: 34386036 PMCID: PMC8353442 DOI: 10.3389/fgene.2021.671057] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 05/17/2021] [Indexed: 12/24/2022] Open
Abstract
Detection of cellular changes in tissue biopsies has been the basis for cancer diagnostics. However, tissue biopsies are invasive and limited by inaccuracies due to sampling locations, restricted sampling frequency, and poor representation of tissue heterogeneity. Liquid biopsies are emerging as a complementary approach to traditional tissue biopsies to detect dynamic changes in specific cell populations. Cell-free DNA (cfDNA) fragments released into the circulation from dying cells can be traced back to the tissues and cell types they originated from using DNA methylation, an epigenetic regulatory mechanism that is highly cell-type specific. Decoding changes in the cellular origins of cfDNA over time can reveal altered host tissue homeostasis due to local cancer invasion and metastatic spread to distant organs as well as treatment responses. In addition to host-derived cfDNA, changes in cancer cells can be detected from cell-free, circulating tumor DNA (ctDNA) by monitoring DNA mutations carried by cancer cells. Here, we will discuss computational approaches to identify and validate robust biomarkers of changed tissue homeostasis using cell-free, methylated DNA in the circulation. We highlight studies performing genome-wide profiling of cfDNA methylation and those that combine genetic and epigenetic markers to further identify cell-type specific signatures. Finally, we discuss opportunities and current limitations of these approaches for implementation in clinical oncology.
Collapse
Affiliation(s)
- Megan E. Barefoot
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States
| | - Netanel Loyfer
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Amber J. Kiliti
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States
- Department of Biochemistry and Molecular and Cellular Biology, Georgetown University, Washington, DC, United States
| | - A. Patrick McDeed
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, United States
| | - Tommy Kaplan
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Anton Wellstein
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States
| |
Collapse
|
36
|
Jones-Freeman B, Chonwerawong M, Marcelino VR, Deshpande AV, Forster SC, Starkey MR. The microbiome and host mucosal interactions in urinary tract diseases. Mucosal Immunol 2021; 14:779-792. [PMID: 33542492 DOI: 10.1038/s41385-020-00372-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 12/03/2020] [Indexed: 02/06/2023]
Abstract
The urinary tract consists of the bladder, ureters, and kidneys, and is an essential organ system for filtration and excretion of waste products and maintaining systemic homeostasis. In this capacity, the urinary tract is impacted by its interactions with other mucosal sites, including the genitourinary and gastrointestinal systems. Each of these sites harbors diverse ecosystems of microbes termed the microbiota, that regulates complex interactions with the local and systemic immune system. It remains unclear whether changes in the microbiota and associated metabolites may be a consequence or a driver of urinary tract diseases. Here, we review the current literature, investigating the impact of the microbiota on the urinary tract in homeostasis and disease including urinary stones, acute kidney injury, chronic kidney disease, and urinary tract infection. We propose new avenues for exploration of the urinary microbiome using emerging technology and discuss the potential of microbiome-based medicine for urinary tract conditions.
Collapse
Affiliation(s)
- Bernadette Jones-Freeman
- Department of Immunology and Pathology, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Michelle Chonwerawong
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, Australia.,Department of Molecular and Translational Sciences, Monash University, Clayton, VIC, Australia
| | - Vanessa R Marcelino
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, Australia.,Department of Molecular and Translational Sciences, Monash University, Clayton, VIC, Australia
| | - Aniruddh V Deshpande
- Priority Research Centre GrowUpWell, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW, Australia.,Department of Pediatric Urology and Surgery, John Hunter Children's Hospital, New Lambton Heights, NSW, Australia.,Urology Unit, Department of Pediatric Surgery, Children's Hospital at Westmead, Sydney Children's Hospital Network, Westmead, NSW, Australia
| | - Samuel C Forster
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, Australia.,Department of Molecular and Translational Sciences, Monash University, Clayton, VIC, Australia
| | - Malcolm R Starkey
- Department of Immunology and Pathology, Central Clinical School, Monash University, Melbourne, VIC, Australia. .,Priority Research Centre GrowUpWell, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW, Australia.
| |
Collapse
|
37
|
Kojabad AA, Farzanehpour M, Galeh HEG, Dorostkar R, Jafarpour A, Bolandian M, Nodooshan MM. Droplet digital PCR of viral DNA/RNA, current progress, challenges, and future perspectives. J Med Virol 2021; 93:4182-4197. [PMID: 33538349 PMCID: PMC8013307 DOI: 10.1002/jmv.26846] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 02/01/2021] [Indexed: 12/18/2022]
Abstract
High-throughput droplet-based digital PCR (ddPCR) is a refinement of the conventional polymerase chain reaction (PCR) methods. In ddPCR, DNA/RNA is encapsulated stochastically inside the microdroplets as reaction chambers. A small percentage of the reaction chamber contains one or fewer copies of the DNA or RNA. After PCR amplification, concentrations are determined based on the proportion of nonfluorescent partitions through the Poisson distribution. Some of the main features of ddPCR include high sensitivity and specificity, absolute quantification without a standard curve, high reproducibility, good tolerance to PCR inhibitor, and high efficacy compared to conventional molecular methods. These advantages make ddPCR a valuable addition to the virologist's toolbox. The following review outlines the recent technological advances in ddPCR methods and their applications in viral identification.
Collapse
Affiliation(s)
- Amir Asri Kojabad
- Applied Virology Research CenterBaqiyatallah University of Medical SciencesTehranIran
| | - Mahdieh Farzanehpour
- Applied Virology Research CenterBaqiyatallah University of Medical SciencesTehranIran
| | | | - Ruhollah Dorostkar
- Applied Virology Research CenterBaqiyatallah University of Medical SciencesTehranIran
| | - Ali Jafarpour
- Research Center for Clinical VirologyTehran University of Medical SciencesTehranIran
| | - Masoumeh Bolandian
- Applied Virology Research CenterBaqiyatallah University of Medical SciencesTehranIran
| | | |
Collapse
|
38
|
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
| |
Collapse
|
39
|
Belkadi A, Thareja G, Dadhania D, Lee JR, Muthukumar T, Snopkowski C, Li C, Halama A, Abdelkader S, Abdulla S, Mahmoud Y, Malek J, Suthanthiran M, Suhre K. Deep sequencing of DNA from urine of kidney allograft recipients to estimate donor/recipient-specific DNA fractions. PLoS One 2021; 16:e0249930. [PMID: 33857204 PMCID: PMC8049329 DOI: 10.1371/journal.pone.0249930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 03/27/2021] [Indexed: 11/19/2022] Open
Abstract
Kidney transplantation is the treatment of choice for patients with end-stage kidney failure, but transplanted allograft could be affected by viral and bacterial infections and by immune rejection. The standard test for the diagnosis of acute pathologies in kidney transplants is kidney biopsy. However, noninvasive tests would be desirable. Various methods using different techniques have been developed by the transplantation community. But these methods require improvements. We present here a cost-effective method for kidney rejection diagnosis that estimates donor/recipient-specific DNA fraction in recipient urine by sequencing urinary cell DNA. We hypothesized that in the no-pathology stage, the largest tissue types present in recipient urine are donor kidney cells, and in case of rejection, a larger number of recipient immune cells would be observed. Extensive in-silico simulation was used to tune the sequencing parameters: number of variants and depth of coverage. Sequencing of DNA mixture from 2 healthy individuals showed the method is highly predictive (maximum error < 0.04). We then demonstrated the insignificant impact of familial relationship and ethnicity using an in-house and public database. Lastly, we performed deep DNA sequencing of urinary cell pellets from 32 biopsy-matched samples representing two pathology groups: acute rejection (AR, 11 samples) and acute tubular injury (ATI, 12 samples) and 9 samples with no pathology. We found a significant association between the donor/recipient-specific DNA fraction in the two pathology groups compared to no pathology (P = 0.0064 for AR and P = 0.026 for ATI). We conclude that deep DNA sequencing of urinary cells from kidney allograft recipients offers a noninvasive means of diagnosing acute pathologies in the human kidney allograft.
Collapse
Affiliation(s)
- Aziz Belkadi
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Gaurav Thareja
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Darshana Dadhania
- Department of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - John R. Lee
- Department of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - Thangamani Muthukumar
- Department of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - Catherine Snopkowski
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - Carol Li
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - Anna Halama
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Sara Abdelkader
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Silvana Abdulla
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Yasmin Mahmoud
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Joel Malek
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Manikkam Suthanthiran
- Department of Transplantation Medicine, New-York Presbyterian Hospital-Weill Cornell Medicine, New York, United States of America
- Division of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medical College, New York, United States of America
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| |
Collapse
|
40
|
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: 25] [Impact Index Per Article: 8.3] [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.
Collapse
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
| |
Collapse
|
41
|
Tsuji N, Agbor-Enoh S. Cell-free DNA beyond a biomarker for rejection: Biological trigger of tissue injury and potential therapeutics. J Heart Lung Transplant 2021; 40:405-413. [PMID: 33926787 DOI: 10.1016/j.healun.2021.03.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/01/2021] [Accepted: 03/03/2021] [Indexed: 12/13/2022] Open
Abstract
Cell-free DNA, measured as donor-derived cell-free DNA is developed as a non-specific biomarker for allograft injury and transplant rejection. However, cell-free DNA characteristics are more specific, its fragment length, nucleotide content, and composition, as well as the tissue source of origin, are intrinsically linked to the underlying disease pathogenesis, showing distinct features in acute cellular rejection and antibody-mediated rejection for example. Further, cell-free DNA and cell-free mitochondrial DNA can directly trigger tissue injury as damage-associated molecular patterns through three major intracellular receptors, toll-like receptor 9 , cyclic guanosine monophosphate-adenosine monophosphate synthase, and inflammasomes (i.e., absent in melanoma 2: AIM2). Therefore, in addition to its role as a non-specific marker for allograft injury, cell-free DNA analysis may be used to phenotype transplant rejection, and to non-invasively point the underlying molecular mechanisms with allograft injury. Novel treatment approaches targeting these cell-free DNA pathways may be useful to treat transplant rejection and prevent end-organ dysfunction. In this review, we discuss the link between cell-free DNA characteristics and disease, the role of cell-free DNA as a damage-associated molecular pattern, and novel therapeutics targeting these cell-free DNA molecular pathways and their potential utility to treat transplant rejection.
Collapse
Affiliation(s)
- Naoko Tsuji
- Renal Diagnostics and Therapeutics Unit, National Institutes of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland
| | - Sean Agbor-Enoh
- Lasker Clinical Research Tenure Track Investigator and Laboratory Chief, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, Bethesda, Maryland; Lung Transplantation Program, Johns Hopkins School of Medicine, Baltimore, M.
| |
Collapse
|
42
|
Barefoot ME, Lindberg MR, Wellstein A. Decoding the Tissue of Origin of Cellular Damage from Cell-Free DNA in Liquid Biopsies. SYSTEMS MEDICINE 2021. [DOI: 10.1016/b978-0-12-801238-3.11669-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
|
43
|
Husby A. On the Use of Blood Samples for Measuring DNA Methylation in Ecological Epigenetic Studies. Integr Comp Biol 2020; 60:1558-1566. [PMID: 32835371 PMCID: PMC7742428 DOI: 10.1093/icb/icaa123] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
There is increasing interest in understanding the potential for epigenetic factors to contribute to phenotypic diversity in evolutionary biology. One well studied epigenetic mechanism is DNA methylation, the addition of a methyl group to cytosines, which have the potential to alter gene expression depending on the genomic region in which it takes place. Obtaining information about DNA methylation at genome-wide scale has become straightforward with the use of bisulfite treatment in combination with reduced representation or whole-genome sequencing. While it is well recognized that methylation is tissue specific, a frequent limitation for many studies is that sampling-specific tissues may require sacrificing individuals, something which is generally undesirable and sometimes impossible. Instead, information about DNA methylation patterns in the blood is frequently used as a proxy tissue. This can obviously be problematic if methylation patterns in the blood do not reflect that in the relevant tissue. Understanding how, or if, DNA methylation in blood reflect DNA methylation patterns in other tissues is therefore of utmost importance if we are to make inferences about how observed differences in methylation or temporal changes in methylation can contribute to phenotypic variation. The aim of this review is to examine what we know about the potential for using blood samples in ecological epigenetic studies. I briefly outline some methods by which we can measure DNA methylation before I examine studies that have compared DNA methylation patterns across different tissues and, finally, examine how useful blood samples may be for ecological studies of DNA methylation. Ecological epigenetic studies are in their infancy, but it is paramount for the field to move forward to have detailed information about tissue and time dependence relationships in methylation to gain insights into if blood DNA methylation patterns can be a reliable bioindicator for changes in methylation that generate phenotypic variation in ecologically important traits.
Collapse
Affiliation(s)
- Arild Husby
- Evolutionary Biology, Department of Ecology and Genetics, Uppsala University, SE-75236 Uppsala, Sweden
| |
Collapse
|
44
|
|
45
|
Guzman NA, Guzman DE. A Two-Dimensional Affinity Capture and Separation Mini-Platform for the Isolation, Enrichment, and Quantification of Biomarkers and Its Potential Use for Liquid Biopsy. Biomedicines 2020; 8:biomedicines8080255. [PMID: 32751506 PMCID: PMC7459796 DOI: 10.3390/biomedicines8080255] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 07/22/2020] [Accepted: 07/26/2020] [Indexed: 02/07/2023] Open
Abstract
Biomarker detection for disease diagnosis, prognosis, and therapeutic response is becoming increasingly reliable and accessible. Particularly, the identification of circulating cell-free chemical and biochemical substances, cellular and subcellular entities, and extracellular vesicles has demonstrated promising applications in understanding the physiologic and pathologic conditions of an individual. Traditionally, tissue biopsy has been the gold standard for the diagnosis of many diseases, especially cancer. More recently, liquid biopsy for biomarker detection has emerged as a non-invasive or minimally invasive and less costly method for diagnosis of both cancerous and non-cancerous diseases, while also offering information on the progression or improvement of disease. Unfortunately, the standardization of analytical methods to isolate and quantify circulating cells and extracellular vesicles, as well as their extracted biochemical constituents, is still cumbersome, time-consuming, and expensive. To address these limitations, we have developed a prototype of a portable, miniaturized instrument that uses immunoaffinity capillary electrophoresis (IACE) to isolate, concentrate, and analyze cell-free biomarkers and/or tissue or cell extracts present in biological fluids. Isolation and concentration of analytes is accomplished through binding to one or more biorecognition affinity ligands immobilized to a solid support, while separation and analysis are achieved by high-resolution capillary electrophoresis (CE) coupled to one or more detectors. When compared to other existing methods, the process of this affinity capture, enrichment, release, and separation of one or a panel of biomarkers can be carried out on-line with the advantages of being rapid, automated, and cost-effective. Additionally, it has the potential to demonstrate high analytical sensitivity, specificity, and selectivity. As the potential of liquid biopsy grows, so too does the demand for technical advances. In this review, we therefore discuss applications and limitations of liquid biopsy and hope to introduce the idea that our affinity capture-separation device could be used as a form of point-of-care (POC) diagnostic technology to isolate, concentrate, and analyze circulating cells, extracellular vesicles, and viruses.
Collapse
Affiliation(s)
- Norberto A. Guzman
- Princeton Biochemicals, Inc., Princeton, NJ 08816, USA
- Correspondence: ; Tel.: +1-908-510-5258
| | - Daniel E. Guzman
- Princeton Biochemicals, Inc., Princeton, NJ 08816, USA
- Department of Internal Medicine, University of California at San Francisco, San Francisco, CA 94143, USA; or
| |
Collapse
|
46
|
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.
Collapse
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
| |
Collapse
|
47
|
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: 62] [Impact Index Per Article: 15.5] [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.
Collapse
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
| |
Collapse
|
48
|
Burnham P, Gomez-Lopez N, Heyang M, Cheng AP, Lenz JS, Dadhania DM, Lee JR, Suthanthiran M, Romero R, De Vlaminck I. Separating the signal from the noise in metagenomic cell-free DNA sequencing. MICROBIOME 2020; 8:18. [PMID: 32046792 PMCID: PMC7014780 DOI: 10.1186/s40168-020-0793-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 01/20/2020] [Indexed: 05/09/2023]
Abstract
BACKGROUND Cell-free DNA (cfDNA) in blood, urine, and other biofluids provides a unique window into human health. A proportion of cfDNA is derived from bacteria and viruses, creating opportunities for the diagnosis of infection via metagenomic sequencing. The total biomass of microbial-derived cfDNA in clinical isolates is low, which makes metagenomic cfDNA sequencing susceptible to contamination and alignment noise. RESULTS Here, we report low biomass background correction (LBBC), a bioinformatics noise filtering tool informed by the uniformity of the coverage of microbial genomes and the batch variation in the absolute abundance of microbial cfDNA. We demonstrate that LBBC leads to a dramatic reduction in false positive rate while minimally affecting the true positive rate for a cfDNA test to screen for urinary tract infection. We next performed high-throughput sequencing of cfDNA in amniotic fluid collected from term uncomplicated pregnancies or those complicated with clinical chorioamnionitis with and without intra-amniotic infection. CONCLUSIONS The data provide unique insight into the properties of fetal and maternal cfDNA in amniotic fluid, demonstrate the utility of cfDNA to screen for intra-amniotic infection, support the view that the amniotic fluid is sterile during normal pregnancy, and reveal cases of intra-amniotic inflammation without infection at term. Video abstract.
Collapse
Affiliation(s)
- Philip Burnham
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Nardhy Gomez-Lopez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, MD, USA
- Department of Biochemistry, Microbiology and Immunology, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Michael Heyang
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | | | - Joan Sesing Lenz
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Darshana M Dadhania
- Department of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, USA
| | - John Richard Lee
- Department of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, USA
| | - Manikkam Suthanthiran
- Department of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, USA
| | - Roberto Romero
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, MD, USA
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA
- Department of Epidemiology and Biostatistics, College of Human Medicine, East Lansing, MI, USA
- Department of Obstetrics and Gynecology, University of Michigan Health System, Ann Arbor, MI, USA
- Detroit Medical Center, Detroit, MI, USA
- Department of Obstetrics and Gynecology, Florida International University, Miami, Florida, USA
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
| |
Collapse
|
49
|
van der Pol Y, Mouliere F. Toward the Early Detection of Cancer by Decoding the Epigenetic and Environmental Fingerprints of Cell-Free DNA. Cancer Cell 2019; 36:350-368. [PMID: 31614115 DOI: 10.1016/j.ccell.2019.09.003] [Citation(s) in RCA: 157] [Impact Index Per Article: 31.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 07/18/2019] [Accepted: 09/06/2019] [Indexed: 12/15/2022]
Abstract
Widespread adaptation of liquid biopsy for the early detection of cancer has yet to reach clinical utility. Circulating tumor DNA is commonly detected though the presence of genetic alterations, but only a minor fraction of tumor-derived cell-free DNA (cfDNA) fragments exhibit mutations. The cellular processes occurring in cancer development mark the chromatin. These epigenetic marks are reflected by modifications in the cfDNA methylation, fragment size, and structure. In this review, we describe how going beyond DNA sequence information alone, by analyzing cfDNA epigenetic and immune signatures, boosts the potential of liquid biopsy for the early detection of cancer.
Collapse
Affiliation(s)
- Ymke van der Pol
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Florent Mouliere
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.
| |
Collapse
|