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Xu F, Tan X, Wang J, Lu S, Ding H, Xue M, Chen Y, Wang S, Teng J, Shi Y, Song Z. Cell-free DNA predicts all-cause mortality of sepsis-induced acute kidney injury. Ren Fail 2024; 46:2273422. [PMID: 38419570 PMCID: PMC10906115 DOI: 10.1080/0886022x.2023.2273422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 10/16/2023] [Indexed: 03/02/2024] Open
Abstract
Background Sepsis-induced acute kidney injury (S-AKI) is a common complication in critically ill patients. Therefore, reliable biomarkers for predicting S-AKI outcomes are necessary. Serum cell-free DNA (cfDNA) is a circulating extracellular DNA fragment used as a noninvasive screening tool for many diseases, including sepsis. This study aimed to investigate the prognostic value of cfDNA in S-AKI patients and its relationship with some other parameters.Methods A total of 89 S-AKI patients admitted to the intensive care unit (ICU) from June 2021 to December 2021 were enrolled in this study. The patients were categorized into the low cfDNA group (< 855 ng/ml) and high cfDNA group (≥ 855 ng/ml) and were followed up for three months. CfDNA was extracted from serum and quantified using Quant-iT PicoGreen dsDNA Reagent.Results Overall survival was significantly lower in the high cfDNA group than in the low cfDNA group (Log-Rank p = 0.012). Univariate Cox proportional hazard model showed that cfDNA was significantly associated with all-cause mortality (HR [hazard ratio] 2.505, 95% CI [95% confidence interval] 1.184-5.298, p = 0.016). Also, serum cfDNA was a significant risk factor for all-cause mortality after adjusting for covariates (HR 2.191, 95% CI 1.017-4.721, p = 0.045). Moreover, cfDNA was positively correlated with several baseline parameters, including serum creatine, aspartate aminotransferase, alanine aminotransferase, prothrombin time, and International Normalized Ratio.Conclusion High serum cfDNA level is associated with higher mortality among the S-AKI population, indicating that cfDNA is a valuable biomarker for S-AKI prognosis.
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Affiliation(s)
- Feixiang Xu
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiao Tan
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jianli Wang
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Su Lu
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hailin Ding
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mingming Xue
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yumei Chen
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Sheng Wang
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Teng
- Department of Nephrology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
- Nephrology Clinical Quality Control Center of Xiamen, Xiamen, China
| | - Yiqin Shi
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhenju Song
- Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, China
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Lokhorst C, van der Werf S, Berger RMF, Douwes JM. Prognostic Value of Serial Risk Stratification in Adult and Pediatric Pulmonary Arterial Hypertension: A Systematic Review. J Am Heart Assoc 2024; 13:e034151. [PMID: 38904230 PMCID: PMC11255703 DOI: 10.1161/jaha.123.034151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 05/10/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND In pulmonary arterial hypertension, it is recommended to base therapeutic decisions on risk stratification. This systematic review aims to report the prognostic value of serial risk stratification in adult and pediatric pulmonary arterial hypertension and to explore the usability of serial risk stratification as treatment target. METHODS AND RESULTS Electronic databases PubMed, Embase, and Web of Science were searched up to January 30, 2023, using terms associated with pulmonary arterial hypertension, pediatric pulmonary hypertension, and risk stratification. Observational studies and clinical trials describing risk stratification at both baseline and follow-up were included. Sixty five studies were eligible for inclusion, including only 2 studies in a pediatric population. C-statistic range at baseline was 0.31 to 0.77 and improved to 0.30 to 0.91 at follow-up. In 53% of patients, risk status changed (42% improved, 12% worsened) over 168 days (interquartile range, 137-327 days; n=22 studies). The average proportion of low-risk patients increased from 18% at baseline to 36% at a median follow-up of 244 days (interquartile range, 140-365 days; n=40 studies). In placebo-controlled drug studies, risk statuses of the intervention groups improved more and worsened less compared with the placebo groups. Furthermore, a low-risk status, but also an improved risk status, at follow-up was associated with a better outcome. Similar results were found in the 2 pediatric studies. CONCLUSIONS Follow-up risk stratification has improved prognostic value compared with baseline risk stratification, and change in risk status between baseline and follow-up corresponded to a change in survival. These data support the use of serial risk stratification as treatment target in pulmonary arterial hypertension.
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Affiliation(s)
- Chantal Lokhorst
- Department of Pediatric Cardiology, Center for Congenital Heart Diseases, Beatrix Children’s HospitalUniversity Medical Center Groningen, University of Groningenthe Netherlands
| | - Sjoukje van der Werf
- Central Medical LibraryUniversity Medical Center Groningen, University of Groningenthe Netherlands
| | - Rolf M. F. Berger
- Department of Pediatric Cardiology, Center for Congenital Heart Diseases, Beatrix Children’s HospitalUniversity Medical Center Groningen, University of Groningenthe Netherlands
| | - Johannes M. Douwes
- Department of Pediatric Cardiology, Center for Congenital Heart Diseases, Beatrix Children’s HospitalUniversity Medical Center Groningen, University of Groningenthe Netherlands
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3
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Ali M, Choudhary R, Singh K, Kumari S, Kumar R, Graham BB, Pasha MAQ, Rabyang S, Thinlas T, Mishra A. Hypobaric hypoxia modulated structural characteristics of circulating cell-free DNA in high-altitude pulmonary edema. Am J Physiol Lung Cell Mol Physiol 2024; 326:L496-L507. [PMID: 38349115 DOI: 10.1152/ajplung.00245.2023] [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: 08/01/2023] [Revised: 01/10/2024] [Accepted: 01/25/2024] [Indexed: 04/07/2024] Open
Abstract
The utility of cell-free (cf) DNA has extended as a surrogate or clinical biomarker for various diseases. However, a more profound and expanded understanding of the diverse cfDNA population and its correlation with physiological phenotypes and environmental factors is imperative for using its full potential. The high-altitude (HA; altitude > 2,500 m above sea level) environment characterized by hypobaric hypoxia offers an observational case-control design to study the differential cfDNA profile in patients with high-altitude pulmonary edema (HAPE) (number of subjects, n = 112) and healthy HA sojourners (n = 111). The present study investigated cfDNA characteristics such as concentration, fragment length size, degree of integrity, and subfractions reflecting mitochondrial-cfDNA copies in the two groups. The total cfDNA level was significantly higher in patients with HAPE, and the level increased with increasing HAPE severity (P = 0.0036). A lower degree of cfDNA integrity of 0.346 in patients with HAPE (P = 0.001) indicated the prevalence of shorter cfDNA fragments in circulation in patients compared with the healthy HA sojourners. A significant correlation of cfDNA characteristics with the peripheral oxygen saturation levels in the patient group demonstrated the translational relevance of cfDNA molecules. The correlation was further supported by multivariate logistic regression and receiver operating characteristic curve. To our knowledge, our study is the first to highlight the association of higher cfDNA concentration, a lower degree of cfDNA integrity, and increased mitochondrial-derived cfDNA population with HAPE disease severity. Further deep profiling of cfDNA fragments, which preserves cell-type specific genetic and epigenetic features, can provide dynamic physiological responses to hypoxia.NEW & NOTEWORTHY This study observed altered cell-free (cf) DNA fragment patterns in patients with high-altitude pulmonary edema and the significant correlation of these patterns with peripheral oxygen saturation levels. This suggests deep profiling of cfDNA fragments in the future may identify genetic and epigenetic mechanisms underlying physiological and pathophysiological responses to hypoxia.
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Affiliation(s)
- Manzoor Ali
- Cardio Respiratory Disease Unit, CSIR-Institute of Genomics and Integrative Biology, Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Raushni Choudhary
- Cardio Respiratory Disease Unit, CSIR-Institute of Genomics and Integrative Biology, Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Kanika Singh
- Cardio Respiratory Disease Unit, CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Swati Kumari
- Cardio Respiratory Disease Unit, CSIR-Institute of Genomics and Integrative Biology, Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Rahul Kumar
- Department of Medicine, University of California, San Francisco, California, United States
- Lung Biology Center, Zuckerberg San Francisco General Hospital, San Francisco, California, United States
| | - Brian B Graham
- Department of Medicine, University of California, San Francisco, California, United States
- Lung Biology Center, Zuckerberg San Francisco General Hospital, San Francisco, California, United States
| | | | - Stanzen Rabyang
- Department of Medicine, Sonam Norboo Memorial Hospital, Leh, India
| | - Tashi Thinlas
- Department of Medicine, Sonam Norboo Memorial Hospital, Leh, India
| | - Aastha Mishra
- Cardio Respiratory Disease Unit, CSIR-Institute of Genomics and Integrative Biology, Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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4
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Balasubramanian S, Richert ME, Kong H, Fu S, Jang MK, Andargie TE, Keller MB, Alnababteh M, Park W, Apalara Z, Sun J, Redekar N, Orens J, Aryal S, Bush EL, Cantu E, Diamond J, Shah P, Yu K, Nathan SD, Agbor-Enoh S. Cell-Free DNA Maps Tissue Injury and Correlates with Disease Severity in Lung Transplant Candidates. Am J Respir Crit Care Med 2024; 209:727-737. [PMID: 38117233 PMCID: PMC10945061 DOI: 10.1164/rccm.202306-1064oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 11/28/2023] [Indexed: 12/21/2023] Open
Abstract
Rationale: Plasma cell-free DNA levels correlate with disease severity in many conditions. Pretransplant cell-free DNA may risk stratify lung transplant candidates for post-transplant complications. Objectives: To evaluate if pretransplant cell-free DNA levels and tissue sources identify patients at high risk of primary graft dysfunction and other pre- and post-transplant outcomes. Methods: This multicenter, prospective cohort study recruited 186 lung transplant candidates. Pretransplant plasma samples were collected to measure cell-free DNA. Bisulfite sequencing was performed to identify the tissue sources of cell-free DNA. Multivariable regression models determined the association between cell-free DNA levels and the primary outcome of primary graft dysfunction and other transplant outcomes, including Lung Allocation Score, chronic lung allograft dysfunction, and death. Measurements and Main Results: Transplant candidates had twofold greater cell-free DNA levels than healthy control patients (median [interquartile range], 23.7 ng/ml [15.1-35.6] vs. 12.9 ng/ml [9.9-18.4]; P < 0.0001), primarily originating from inflammatory innate immune cells. Cell-free DNA levels and tissue sources differed by native lung disease category and correlated with the Lung Allocation Score (P < 0.001). High pretransplant cell-free DNA increased the risk of primary graft dysfunction (odds ratio, 1.60; 95% confidence interval [CI], 1.09-2.46; P = 0.0220), and death (hazard ratio, 1.43; 95% CI, 1.07-1.92; P = 0.0171) but not chronic lung allograft dysfunction (hazard ratio, 1.37; 95% CI, 0.97-1.94; P = 0.0767). Conclusions: Lung transplant candidates demonstrate a heightened degree of tissue injury with elevated cell-free DNA, primarily originating from innate immune cells. Pretransplant plasma cell-free DNA levels predict post-transplant complications.
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Affiliation(s)
- Shanti Balasubramanian
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
| | - Mary E. Richert
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
| | - Hyesik Kong
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Sheng Fu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Moon Kyoo Jang
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Temesgen E. Andargie
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Department of Biology, Howard University, Washington, District of Columbia
| | - Michael B. Keller
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Muhtadi Alnababteh
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland
| | - Woojin Park
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Zainab Apalara
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Integrated Data Science Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Jian Sun
- Integrated Data Science Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Neelam Redekar
- Integrated Data Science Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Jonathan Orens
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Shambhu Aryal
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Advanced Lung Disease and Lung Transplant Program, Inova Fairfax Hospital, Fairfax, Virginia
| | - Errol L. Bush
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Surgery, The Johns Hopkins School of Medicine, Baltimore, Maryland; and
| | - Edward Cantu
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joshua Diamond
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Pali Shah
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Steven D. Nathan
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Advanced Lung Disease and Lung Transplant Program, Inova Fairfax Hospital, Fairfax, Virginia
| | - Sean Agbor-Enoh
- Genomic Research Alliance for Transplantation, Bethesda, Maryland
- Division of Intramural Research, Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
- Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland
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5
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Thorsen SU, Moseholm KF, Clausen FB. Circulating cell-free DNA and its association with cardiovascular disease: what we know and future perspectives. Curr Opin Lipidol 2024; 35:14-19. [PMID: 37800671 DOI: 10.1097/mol.0000000000000907] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
PURPOSE OF REVIEW The aim of this review is to explore a possible link between cell-free DNA (cfDNA) and cardiovascular disease (CVD), which may hold valuable potential for future diagnostics. RECENT FINDINGS cfDNA has become topic of high interest across several medical fields. cfDNA is used as a diagnostic biomarker in cancer, prenatal care, and transplantation. In addition, cfDNA may play an unrecognized role in biological processes that are involved in or underlying various disease states, for example, inflammation. Elevated levels of cfDNA are associated with various elements of CVD, cardio-metabolic risk factors, and autoimmune diseases. Mitochondrial cfDNA and neutrophil extracellular traps may play distinct roles. Total circulating cfDNA may reflect the unspecific accumulation of stressors and the organism's susceptibility and resilience to such stressors. As such, cfDNA, in a stressful situation, may provide predictive value for future development of CVD. We suggest exploring such possibility through a large-scale prospective cohort study of pregnant women. SUMMARY There is no doubt that cfDNA is a valuable biomarker. For CVD, its potential is indicated but less explored. New studies may identify cfDNA as a valuable circulating cardiovascular risk marker to help improve risk stratification.
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Affiliation(s)
| | - Kristine Frøsig Moseholm
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
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6
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Alekberli T, Ohana BL, Zemmour H, Khader R, Shemer R, Dor Y, Landesberg G. The correlation between high-sensitivity troponin-T and cell-free cardiac DNA in the blood of patients undergoing noncardiac, predominantly vascular surgery. J Int Med Res 2024; 52:3000605241229638. [PMID: 38340803 PMCID: PMC10859063 DOI: 10.1177/03000605241229638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 01/13/2024] [Indexed: 02/12/2024] Open
Abstract
OBJECTIVE To present a novel method that uses an epigenetic fingerprint to measure changes in plasma concentrations of cardiac-specific cell-free DNA (CS-cfDNA) as a marker of myocardial cell death. METHODS This prospective, analytic, observational comparative study included patients with heart disease or multiple risk factors for heart disease undergoing major noncardiac, mostly vascular surgery, requiring an arterial-line, and at least 24 h hospitalization in the post anaesthesia care unit or critical care unit after surgery. Blood samples were collected at least four times per patient to measure troponin-T (via high-sensitivity troponin-T test) and CS-cfDNA pre- and postoperatively. RESULTS A total of 117 patients were included (group 1, 77 patients [66%] with low preoperative and postoperative troponin-T; group 2, 18 patients [15%] with low preoperative but increased postoperative troponin-T; group 3, 16 patients [14%] with high troponin-T both preoperatively and postoperatively; and group 4, six patients [5%] with elevated preoperative troponin-T that decreased postoperatively). The increase in CS-cfDNA after surgery was statistically significant only in group 2, which correlated with an increase in troponin-T in the same group. CONCLUSIONS CS-cfDNA increased early postoperatively, particularly in patients with silent postoperative troponin elevation, and was correlated with an increase in troponin-T. These results may suggest that, in the subgroup of patients with postoperative elevated troponin, cardiomyocyte death indeed occurred.
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Affiliation(s)
- Tural Alekberli
- Department of Anaesthesiology, Critical Care and Pain Medicine, Hadassah Medical School, Hebrew University of Jerusalem, Jerusalem, Israel
- Department of Anaesthesia, Edmundston Regional Hospital, Vitalite Health Network, University of Sherbrooke, Edmundston, NB, Canada
| | - Braha Lea Ohana
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research Israel-Canada, Hadassah Medical School, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Hai Zemmour
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research Israel-Canada, Hadassah Medical School, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Rudy Khader
- Department of Anaesthesiology, Critical Care and Pain Medicine, Hadassah Medical School, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ruth Shemer
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research Israel-Canada, Hadassah Medical School, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yuval Dor
- Department of Developmental Biology and Cancer Research, The Institute for Medical Research Israel-Canada, Hadassah Medical School, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Giora Landesberg
- Department of Anaesthesiology, Critical Care and Pain Medicine, Hadassah Medical School, Hebrew University of Jerusalem, Jerusalem, Israel
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Roznik K, Andargie TE, Johnston TS, Gordon O, Wang Y, Peart Akindele N, Persaud D, Antar AAR, Manabe YC, Zhou W, Ji H, Agbor-Enoh S, Karaba AH, Thompson EA, Cox AL. Emergency myelopoiesis distinguishes multisystem inflammatory syndrome in children from pediatric severe COVID-19. J Infect Dis 2024:jiae032. [PMID: 38299308 DOI: 10.1093/infdis/jiae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 12/18/2023] [Accepted: 01/22/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Multisystem inflammatory syndrome in children (MIS-C) is a hyperinflammatory condition caused by recent SARS-CoV-2 infection, but the underlying immunological mechanisms driving this distinct syndrome are unknown. METHODS We utilized high dimensional flow cytometry, cell-free (cf) DNA, and cytokine and chemokine profiling to identify mechanisms of critical illness distinguishing MIS-C from severe acute COVID-19 (SAC). RESULTS Compared to SAC, MIS-C patients demonstrated profound innate immune cell death and features of emergency myelopoiesis (EM), an understudied phenomenon observed in severe inflammation. EM signatures were characterized by fewer mature myeloid cells in the periphery and decreased expression of HLA-DR and CD86 on antigen presenting cells. IL-27, a cytokine known to drive hematopoietic stem cells towards EM, was increased in MIS-C, and correlated with immature cell signatures in MIS-C. Upon recovery, EM signatures decreased, and IL-27 plasma levels returned to normal levels. Despite profound lymphopenia, we report a lack of cfDNA released by adaptive immune cells and increased CCR7 expression on T cells indicative of egress out of peripheral blood. CONCLUSIONS Immune cell signatures of EM combined with elevated innate immune cell-derived cfDNA levels distinguish MIS-C from SAC in children and provide mechanistic insight into dysregulated immunity contributing towards MIS-C, offering potential diagnostic and therapeutic targets.
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Affiliation(s)
- Katerina Roznik
- Johns Hopkins Bloomberg School of Public Health, W. Harry Feinstone Department of Molecular Microbiology and Immunology, Baltimore, Maryland, USA
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Temesgen E Andargie
- Genomic Research Alliance for Transplantation and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), The National Institutes of Health, Bethesda, Maryland, USA
- Department of Biology, Howard University, Washington DC, USA
| | - T Scott Johnston
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Oren Gordon
- Infectious Diseases Unit, Department of Pediatrics, Faculty of Medicine, Hadassah Medical Center, Hebrew University of Jerusalem, Jerusalem, Israel
- Johns Hopkins University School of Medicine, Department of Pediatrics, Baltimore, Maryland, USA
| | - Yi Wang
- Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics, Baltimore, Maryland, USA
| | - Nadine Peart Akindele
- Johns Hopkins University School of Medicine, Department of Pediatrics, Baltimore, Maryland, USA
| | - Deborah Persaud
- Johns Hopkins Bloomberg School of Public Health, W. Harry Feinstone Department of Molecular Microbiology and Immunology, Baltimore, Maryland, USA
- Johns Hopkins University School of Medicine, Department of Pediatrics, Baltimore, Maryland, USA
| | - Annukka A R Antar
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Yukari C Manabe
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Weiqiang Zhou
- Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics, Baltimore, Maryland, USA
| | - Hongkai Ji
- Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics, Baltimore, Maryland, USA
| | - Sean Agbor-Enoh
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
- Genomic Research Alliance for Transplantation and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), The National Institutes of Health, Bethesda, Maryland, USA
| | - Andrew H Karaba
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Elizabeth A Thompson
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
| | - Andrea L Cox
- Johns Hopkins Bloomberg School of Public Health, W. Harry Feinstone Department of Molecular Microbiology and Immunology, Baltimore, Maryland, USA
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Diseases, Baltimore, Maryland, USA
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8
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Pham AT, Oliveira AC, Albanna M, Alvarez-Castanon J, Dupee Z, Patel D, Fu C, Mukhsinova L, Nguyen A, Jin L, Bryant AJ. Non-Interferon-Dependent Role of STING Signaling in Pulmonary Hypertension. Arterioscler Thromb Vasc Biol 2024; 44:124-142. [PMID: 37942608 PMCID: PMC10872846 DOI: 10.1161/atvbaha.123.320121] [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: 09/08/2023] [Accepted: 10/24/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Patients with constitutive activation of DNA-sensing pathway through stimulator of IFN (interferon) genes (STING), such as those with STING-associated vasculopathy with onset in infancy, develop pulmonary hypertension (PH). However, the role of STING signaling in general PH patients is heretofore undescribed. Here, we seek to investigate the role of STING in PH development. METHODS STING expression in patient lung samples was examined. PH was induced in global STING-deficient mice and global type I IFN receptor 1-deficient mice using bleomycin or chronic hypoxia exposure. PH development was evaluated by right ventricular systolic pressure and Fulton index, with additional histological and flow cytometric analysis. VEGF (vascular endothelial growth factor) expression on murine immune cells was quantified and evaluated with multiplex and flow cytometry. Human myeloid-derived cells were differentiated from peripheral blood mononuclear cells and treated with either STING agonist or STING antagonist for evaluation of VEGF secretion. RESULTS Global STING deficiency protects mice from PH development, and STING-associated PH seems independent of type I IFN signaling. Furthermore, a role for STING-VEGF signaling pathway in PH development was demonstrated, with altered VEGF secretion in murine pulmonary infiltrated myeloid cells in a STING-dependent manner. In addition, pharmacological manipulation of STING in human myeloid-derived cells supports in vivo findings. Finally, a potential role of STING-VEGF-mediated apoptosis in disease development and progression was illustrated, providing a roadmap toward potential therapeutic applications. CONCLUSIONS Overall, these data provide concrete evidence of STING involvement in PH, establishing biological plausibility for STING-related therapies in PH treatment.
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Affiliation(s)
- Ann T Pham
- Department of Medicine, University of Florida College of Medicine, Gainesville
| | - Aline C Oliveira
- Department of Medicine, University of Florida College of Medicine, Gainesville
| | - Muhammad Albanna
- Department of Medicine, University of Florida College of Medicine, Gainesville
| | | | - Zadia Dupee
- Department of Medicine, University of Florida College of Medicine, Gainesville
| | - Diya Patel
- Department of Medicine, University of Florida College of Medicine, Gainesville
| | - Chunhua Fu
- Department of Medicine, University of Florida College of Medicine, Gainesville
| | - Laylo Mukhsinova
- Department of Medicine, University of Florida College of Medicine, Gainesville
| | - Amy Nguyen
- Department of Medicine, University of Florida College of Medicine, Gainesville
| | - Lei Jin
- Department of Medicine, University of Florida College of Medicine, Gainesville
| | - Andrew J Bryant
- Department of Medicine, University of Florida College of Medicine, Gainesville
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Jang MK, Markowitz TE, Andargie TE, Apalara Z, Kuhn S, Agbor-Enoh S. Cell-free chromatin immunoprecipitation to detect molecular pathways in heart transplantation. Life Sci Alliance 2023; 6:e202302003. [PMID: 37730434 PMCID: PMC10511822 DOI: 10.26508/lsa.202302003] [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: 02/20/2023] [Revised: 09/11/2023] [Accepted: 09/13/2023] [Indexed: 09/22/2023] Open
Abstract
Existing monitoring approaches in heart transplantation lack the sensitivity to provide deep molecular assessments to guide management, or require endomyocardial biopsy, an invasive and blind procedure that lacks the precision to reliably obtain biopsy samples from diseased sites. This study examined plasma cell-free DNA chromatin immunoprecipitation sequencing (cfChIP-seq) as a noninvasive proxy to define molecular gene sets and sources of tissue injury in heart transplant patients. In healthy controls and in heart transplant patients, cfChIP-seq reliably detected housekeeping genes. cfChIP-seq identified differential gene signals of relevant immune and nonimmune molecular pathways that were predominantly down-regulated in immunosuppressed heart transplant patients compared with healthy controls. cfChIP-seq also identified cell-free DNA tissue sources. Compared with healthy controls, heart transplant patients demonstrated greater cell-free DNA from tissue types associated with heart transplant complications, including the heart, hematopoietic cells, lungs, liver, and vascular endothelium. cfChIP-seq may therefore be a reliable approach to profile dynamic assessments of molecular pathways and sources of tissue injury in heart transplant patients.
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Affiliation(s)
- Moon Kyoo Jang
- https://ror.org/01cwqze88 Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA
| | - Tovah E Markowitz
- https://ror.org/01cwqze88 NIAID Collaborative Bioinformatics Resource, Integrated Data Sciences Section, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Temesgen E Andargie
- https://ror.org/01cwqze88 Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA
- Department of Biology, Howard University, Washington, DC, USA
| | - Zainab Apalara
- https://ror.org/01cwqze88 Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA
| | - Skyler Kuhn
- https://ror.org/01cwqze88 NIAID Collaborative Bioinformatics Resource, Integrated Data Sciences Section, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
| | - Sean Agbor-Enoh
- https://ror.org/01cwqze88 Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA
- Department of Medicine, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
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10
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Pang Y, Andargie TE, Jang MK, Kong H, Park W, Hill T, Redekar N, Fu YP, Parth DA, Holtzman NG, Pavletic SZ, Agbor-Enoh S. Chronic graft-versus-host disease is characterized by high levels and distinctive tissue-of-origin patterns of cell-free DNA. iScience 2023; 26:108160. [PMID: 38026221 PMCID: PMC10651673 DOI: 10.1016/j.isci.2023.108160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 08/21/2023] [Accepted: 10/05/2023] [Indexed: 12/01/2023] Open
Abstract
Chronic graft-versus-host disease (cGvHD) is a devastating complication of hematopoietic stem cell transplantation (HSCT). Effective early detection may improve the outcome of cGvHD. The potential utility of circulating cell-free DNA (cfDNA), a sensitive marker for tissue injury, in HSCT and cGvHD remains to be established. Here, cfDNA of prospectively collected plasma samples from HSCT recipients (including both cGvHD and non-cGvHD) and healthy control (HC) subjects were evaluated. Deconvolution methods utilizing tissue-specific DNA methylation signatures were used to determine cfDNA tissue-of-origin. cfDNA levels were significantly higher in HSCT recipients than HC and significantly higher in cGvHD than non-cGvHD. cGvHD was characterized by a high level of cfDNA from innate immune cells, heart, and liver. Non-hematologic tissue-derived cfDNA was significantly higher in cGvHD than non-cGvHD. cfDNA temporal dynamics and tissue-of-origin composition have distinctive features in patients with cGvHD, supporting further exploration of the utility of cfDNA in the study of cGvHD.
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Affiliation(s)
- Yifan Pang
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Department of Hematologic Oncology and Blood Disorders, Levine Cancer Institute, Charlotte, NC 28204, USA
| | - Temesgen E. Andargie
- Laboratory of Applied Precision Omics, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Department of Biology, Howard University, Washington, DC 20059, USA
| | - Moon Kyoo Jang
- Laboratory of Applied Precision Omics, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Hyesik Kong
- Laboratory of Applied Precision Omics, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Woojin Park
- Laboratory of Applied Precision Omics, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Thomas Hill
- NIAID Collaborative Bioinformatics Resource, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892, USA
| | - Neelam Redekar
- NIAID Collaborative Bioinformatics Resource, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892, USA
| | - Yi-Ping Fu
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Desai A. Parth
- Department of Hematology/Oncology, Fox Chase Cancer Center, Philadelphia, PA 19111, USA
| | - Noa G. Holtzman
- Immune Deficiency Cellular Therapy Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Steven Z. Pavletic
- Immune Deficiency Cellular Therapy Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sean Agbor-Enoh
- Laboratory of Applied Precision Omics, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Department of Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD 21205, USA
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11
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Andargie TE, Roznik K, Redekar N, Hill T, Zhou W, Apalara Z, Kong H, Gordon O, Meda R, Park W, Johnston TS, Wang Y, Brady S, Ji H, Yanovski JA, Jang MK, Lee CM, Karaba AH, Cox AL, Agbor-Enoh S. Cell-free DNA reveals distinct pathology of multisystem inflammatory syndrome in children. J Clin Invest 2023; 133:e171729. [PMID: 37651206 PMCID: PMC10617770 DOI: 10.1172/jci171729] [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: 05/01/2023] [Accepted: 08/29/2023] [Indexed: 09/02/2023] Open
Abstract
Multisystem inflammatory syndrome in children (MIS-C) is a rare but life-threatening hyperinflammatory condition induced by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes pediatric COVID-19 (pCOVID-19). The relationship of the systemic tissue injury to the pathophysiology of MIS-C is poorly defined. We leveraged the high sensitivity of epigenomics analyses of plasma cell-free DNA (cfDNA) and plasma cytokine measurements to identify the spectrum of tissue injury and glean mechanistic insights. Compared with pediatric healthy controls (pHCs) and patients with pCOVID-19, patients with MIS-C had higher levels of cfDNA primarily derived from innate immune cells, megakaryocyte-erythroid precursor cells, and nonhematopoietic tissues such as hepatocytes, cardiac myocytes, and kidney cells. Nonhematopoietic tissue cfDNA levels demonstrated significant interindividual variability, consistent with the heterogenous clinical presentation of MIS-C. In contrast, adaptive immune cell-derived cfDNA levels were comparable in MIS-C and pCOVID-19 patients. Indeed, the cfDNA of innate immune cells in patients with MIS-C correlated with the levels of innate immune inflammatory cytokines and nonhematopoietic tissue-derived cfDNA, suggesting a primarily innate immunity-mediated response to account for the multisystem pathology. These data provide insight into the pathogenesis of MIS-C and support the value of cfDNA as a sensitive biomarker to map tissue injury in MIS-C and likely other multiorgan inflammatory conditions.
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Affiliation(s)
- Temesgen E. Andargie
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA. GFAfT is detailed in Supplemental Acknowledgments
- Department of Biology, Howard University, Washington DC, USA
| | - Katerina Roznik
- Department of Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Neelam Redekar
- Integrated Data Sciences Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, Maryland, USA
| | - Tom Hill
- Integrated Data Sciences Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, Maryland, USA
| | - Weiqiang Zhou
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Zainab Apalara
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA. GFAfT is detailed in Supplemental Acknowledgments
| | - Hyesik Kong
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA. GFAfT is detailed in Supplemental Acknowledgments
| | - Oren Gordon
- Infectious Diseases Unit, Department of Pediatrics, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Rohan Meda
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA. GFAfT is detailed in Supplemental Acknowledgments
| | - Woojin Park
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA. GFAfT is detailed in Supplemental Acknowledgments
| | - Trevor S. Johnston
- Department of Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Yi Wang
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Sheila Brady
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, Maryland, USA
| | - Hongkai Ji
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jack A. Yanovski
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, Maryland, USA
| | - Moon K. Jang
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA. GFAfT is detailed in Supplemental Acknowledgments
| | - Clarence M. Lee
- Department of Biology, Howard University, Washington DC, USA
| | - Andrew H. Karaba
- Department of Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Andrea L. Cox
- Department of Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Sean Agbor-Enoh
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA. GFAfT is detailed in Supplemental Acknowledgments
- Department of Medicine, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
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12
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Balnis J, Lauria EJM, Yucel R, Singer HA, Alisch RS, Jaitovich A. Peripheral Blood Omics and Other Multiplex-based Systems in Pulmonary and Critical Care Medicine. Am J Respir Cell Mol Biol 2023; 69:383-390. [PMID: 37379507 PMCID: PMC10557924 DOI: 10.1165/rcmb.2023-0153ps] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 06/28/2023] [Indexed: 06/30/2023] Open
Abstract
Over the last years, the use of peripheral blood-derived big datasets in combination with machine learning technology has accelerated the understanding, prediction, and management of pulmonary and critical care conditions. The goal of this article is to provide readers with an introduction to the methods and applications of blood omics and other multiplex-based technologies in the pulmonary and critical care medicine setting to better appreciate the current literature in the field. To accomplish that, we provide essential concepts needed to rationalize this approach and introduce readers to the types of molecules that can be obtained from the circulating blood to generate big datasets; elaborate on the differences between bulk, sorted, and single-cell approaches; and the basic analytical pipelines required for clinical interpretation. Examples of peripheral blood-derived big datasets used in recent literature are presented, and limitations of that technology are highlighted to qualify both the current and future value of these methodologies.
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Affiliation(s)
- Joseph Balnis
- Division of Pulmonary and Critical Care Medicine and
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, New York
| | - Eitel J. M. Lauria
- School of Computer Science and Mathematics, Marist College, Poughkeepsie, New York
| | - Recai Yucel
- Department of Epidemiology and Biostatistics, Temple University, Philadelphia, Pennsylvania; and
| | - Harold A. Singer
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, New York
| | - Reid S. Alisch
- Department of Neurological Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Ariel Jaitovich
- Division of Pulmonary and Critical Care Medicine and
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, New York
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13
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Arkani M, Kianzad A, Jansen S, Smit J, Post E, Ramaker J, Lagerweij T, In’t Veld SGJG, Noske DP, Vonk Noordegraaf A, Wurdinger T, Best MG, Bogaard H. Discrimination Between Pre- and Postcapillary Pulmonary Hypertension Using Platelet RNA. J Am Heart Assoc 2023; 12:e028447. [PMID: 37345802 PMCID: PMC10356096 DOI: 10.1161/jaha.122.028447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 04/27/2023] [Indexed: 06/23/2023]
Abstract
Background Appropriate treatment of pulmonary hypertension (PH) is critically dependent on accurate discrimination between pre- and postcapillary PH. However, clinical discrimination is challenging and frequently requires a right heart catheterization. Existing risk scores to detect postcapillary PH have suboptimal discriminatory strength. We have previously shown that platelet-derived RNA profiles may have diagnostic value for PH detection. Here, we hypothesize that platelet-derived RNAs can be employed to select unique biomarker panels for the discrimination between pre- and postcapillary PH. Methods and Results Blood platelet RNA from whole blood was isolated and sequenced from 50 patients with precapillary PH (with different PH subtypes) as well as 50 patients with postcapillary PH. RNA panels were calculated by ANOVA statistics, and classifications were performed using a support vector machine algorithm, supported by particle swarm optimization. We identified in total 4279 different RNAs in blood platelets from patients with pre- and postcapillary PH. A particle swarm optimization-selected RNA panel of 1618 distinctive RNAs with differential levels together with a trained support vector machine algorithm accurately discriminated patients with precapillary PH from patients with postcapillary PH with 100% sensitivity, 60% specificity, 80% accuracy, and 0.95 (95% CI, 0.86-1.00) area under the curve in the independent validation series (n=20). Conclusions This proof-of-concept study demonstrates that particle swarm optimization/support vector machine-enhanced classification of platelet RNA panels may be able to discriminate precapillary PH from postcapillary PH. This research provides a foundation for the development of a blood test with a high negative predictive value that would improve early diagnosis of precapillary PH and prevents unnecessary invasive testing in patients with postcapillary PH.
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Affiliation(s)
- Mohammad Arkani
- Amsterdam Cardiovascular SciencesPulmonary Hypertension and ThrombosisAmsterdamThe Netherlands
- Department of PulmonologyAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Department of NeurosurgeryAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Cancer Center AmsterdamBrain Tumor Center AmsterdamAmsterdamThe Netherlands
- Department of Biomedical Data SciencesLeiden University Medical CenterLeidenThe Netherlands
| | - Azar Kianzad
- Amsterdam Cardiovascular SciencesPulmonary Hypertension and ThrombosisAmsterdamThe Netherlands
- Department of PulmonologyAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Samara Jansen
- Amsterdam Cardiovascular SciencesPulmonary Hypertension and ThrombosisAmsterdamThe Netherlands
- Department of PulmonologyAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Josien Smit
- Amsterdam Cardiovascular SciencesPulmonary Hypertension and ThrombosisAmsterdamThe Netherlands
- Department of PulmonologyAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Edward Post
- Department of NeurosurgeryAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Cancer Center AmsterdamBrain Tumor Center AmsterdamAmsterdamThe Netherlands
| | - Jip Ramaker
- Department of NeurosurgeryAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Cancer Center AmsterdamBrain Tumor Center AmsterdamAmsterdamThe Netherlands
| | - Tonny Lagerweij
- Department of NeurosurgeryAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Cancer Center AmsterdamBrain Tumor Center AmsterdamAmsterdamThe Netherlands
| | - Sjors G. J. G. In’t Veld
- Department of NeurosurgeryAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Cancer Center AmsterdamBrain Tumor Center AmsterdamAmsterdamThe Netherlands
| | - David P. Noske
- Department of NeurosurgeryAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Cancer Center AmsterdamBrain Tumor Center AmsterdamAmsterdamThe Netherlands
| | - Anton Vonk Noordegraaf
- Amsterdam Cardiovascular SciencesPulmonary Hypertension and ThrombosisAmsterdamThe Netherlands
- Department of PulmonologyAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Thomas Wurdinger
- Department of NeurosurgeryAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Cancer Center AmsterdamBrain Tumor Center AmsterdamAmsterdamThe Netherlands
| | - Myron G. Best
- Department of NeurosurgeryAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Cancer Center AmsterdamBrain Tumor Center AmsterdamAmsterdamThe Netherlands
| | - Harm‐Jan Bogaard
- Amsterdam Cardiovascular SciencesPulmonary Hypertension and ThrombosisAmsterdamThe Netherlands
- Department of PulmonologyAmsterdam UMC Location Vrije Universiteit AmsterdamAmsterdamThe Netherlands
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14
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Jang MK, Markowitz TE, Andargie TE, Apalara Z, Kuhn S, Agbor-Enoh S. Cell-free Chromatin Immunoprecipitation to detect molecular pathways in Physiological and Disease States. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.24.525414. [PMID: 36789421 PMCID: PMC9928031 DOI: 10.1101/2023.01.24.525414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Patient monitoring is a cornerstone in clinical practice to define disease phenotypes and guide clinical management. Unfortunately, this is often reliant on invasive and/or less sensitive methods that do not provide deep phenotype assessments of disease state to guide treatment. This paper examined plasma cell-free DNA chromatin immunoprecipitation sequencing (cfChIP-seq) to define molecular gene sets in physiological and heart transplant patients taking immunosuppression medications. We show cfChIP-seq reliably detect gene signals that correlate with gene expression. In healthy controls and in heart transplant patients, cfChIP-seq reliably detected housekeeping genes. cfChIP-seq identified differential gene signals of the relevant immune and non-immune molecular pathways that were predominantly downregulated in immunosuppressed heart transplant patients compared to healthy controls. cfChIP-seq also identified tissue sources of cfDNA, detecting greater cell-free DNA from cardiac, hematopoietic, and other non-hematopoietic tissues such as the pulmonary, digestive, and neurological tissues in transplant patients than healthy controls. cfChIP-seq gene signals were reproducible between patient populations and blood collection methods. cfChIP-seq may therefore be a reliable approach to provide dynamic assessments of molecular pathways and tissue injury associated to disease.
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Affiliation(s)
- Moon K. Jang
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD
| | - Tovah E. Markowitz
- NIAID Collaborative Bioinformatics Resource, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD
| | - Temesgen E. Andargie
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD
| | - Zainab Apalara
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD
| | - Skyler Kuhn
- NIAID Collaborative Bioinformatics Resource, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD
| | - Sean Agbor-Enoh
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision. Omics, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD
- Department of Medicine, Johns Hopkins University, School of Medicine, Baltimore, MD
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