본문 바로가기
KERD
논문KCI 등재

Single-cell transcriptome analyses reveal distinct gene expression signatures of severe COVID-19 in the presence of clonal hematopoiesis

0

조회

0

다운로드

0

인용

0

참고문헌

주제분류생화학

초록

Clonal hematopoiesis of indeterminate potential (CHIP), a common aging-related process that predisposes individuals to various inflammatory responses, has been reported to be associated with COVID-19 severity. However, the immunological signature and the exact gene expression program by which the presence of CHIP exerts its clinical impact on COVID-19 remain to be elucidated. In this study, we generated a single-cell transcriptome landscape of severe COVID-19 according to the presence of CHIP using peripheral blood mononuclear cells. Patients with CHIP exhibited a potent IFN-γ response in exacerbating inflammation, particularly in classical monocytes, compared to patients without CHIP. To dissect the regulatory mechanism of CHIP (+)-specific IFN-γ response gene expression in severe COVID-19, we identified DNMT3A CHIP mutation-dependent differentially methylated regions (DMRs) and annotated their putative target genes based on long-range chromatin interactions. We revealed that CHIP mutant-driven hypo-DMRs at poised cis-regulatory elements appear to facilitate the CHIP (+)-specific IFN-γ-mediated inflammatory immune response. Our results highlight that the presence of CHIP may increase the susceptibility to hyperinflammation through the reorganization of chromatin architecture, establishing a novel subgroup of severe COVID-19 patients.

Abstract

Clonal hematopoiesis of indeterminate potential (CHIP), a common aging-related process that predisposes individuals to various inflammatory responses, has been reported to be associated with COVID-19 severity. However, the immunological signature and the exact gene expression program by which the presence of CHIP exerts its clinical impact on COVID-19 remain to be elucidated. In this study, we generated a single-cell transcriptome landscape of severe COVID-19 according to the presence of CHIP using peripheral blood mononuclear cells. Patients with CHIP exhibited a potent IFN-γ response in exacerbating inflammation, particularly in classical monocytes, compared to patients without CHIP. To dissect the regulatory mechanism of CHIP (+)-specific IFN-γ response gene expression in severe COVID-19, we identified DNMT3A CHIP mutation-dependent differentially methylated regions (DMRs) and annotated their putative target genes based on long-range chromatin interactions. We revealed that CHIP mutant-driven hypo-DMRs at poised cis-regulatory elements appear to facilitate the CHIP (+)-specific IFN-γ-mediated inflammatory immune response. Our results highlight that the presence of CHIP may increase the susceptibility to hyperinflammation through the reorganization of chromatin architecture, establishing a novel subgroup of severe COVID-19 patients.

참고문헌 (58)

  1. Zhu, N., "A Novel Coronavirus from Patients with Pneumonia in China, 2019", N. Engl. J. Med, 382, pp.727~733 (2020)
  2. Wu, Z., "Characteristics of and Important Lessons From the Coronavirus Disease 2019(COVID-19)Outbreak in China : Summary of a Report of 72314 Cases From the Chinese Center for Disease Control and Prevention", JAMA, 323, pp.1239~1242 (2020)
  3. Cunningham, J. W., "Clinical Outcomes in Young US Adults Hospitalized With COVID-19", JAMA Intern. Med, 181, pp.379~381 (2020)
  4. Williamson, E. J., "Factors associated with COVID-19-related death using OpenSAFELY", Nature, 584, pp.430~436 (2020)
  5. Huang, C., "Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China", Lancet, 395, pp.497~506 (2020)
  6. Yang, X., "Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study", Lancet Respir. Med, 8, pp.475~481 (2020)
  7. Liu, Y., "Viral dynamics in mild and severe cases of COVID-19", Lancet Infect. Dis, 20, pp.656~657 (2020)
  8. Zou, L., "SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients", N. Engl. J. Med, 382, pp.1177~1179 (2020)
  9. Mehta, P., "COVID-19 : consider cytokine storm syndromes and immunosuppression", Lancet, 395, pp.1033~1034 (2020)
  10. Kang, C. K., "Aberrant hyperactivation of cytotoxic T-cell as a potential determinant of COVID-19 severity", Int. J. Infect. Dis, 97, pp.313~321 (2020)
  11. Xu, Z., "Pathological findings of COVID-19 associated with acute respiratory distress syndrome", Lancet Respir. Med, 8, pp.420~422 (2020)
  12. Merad, M., "Pathological inflammation in patients with COVID-19 : a key role for monocytes and macrophages", Nat. Rev. Immunol, 20, pp.355~362 (2020)
  13. Bolton, K. L., "Clonal hematopoiesis is associated with risk of severe Covid-19", Nat. Commun, 12, pp.5975~ (2021)
  14. Duployez, N., "Clinico-Biological Features and Clonal Hematopoiesis in Patients with Severe COVID-19", Cancers(Basel), 12, pp.1992~ (2020)
  15. Hameister, E., "Clonal Hematopoiesis in Hospitalized Elderly Patients With COVID-19", Hemasphere, 4, pp.e453~ (2020)
  16. Steensma, D. P., "Clonal hematopoiesis of indeterminate potential and its distinction from myelodysplastic syndromes", Blood, 126, pp.9~16 (2015)
  17. Rodrigues, C. P., "Epigenetic Regulators as the Gatekeepers of Hematopoiesis", Trends Genet, 37, pp.125~142 (2021)
  18. Jaiswal, S., "Clonal Hematopoiesis and Risk of Atherosclerotic Cardiovascular Disease", N. Engl. J. Med, 377, pp.111~121 (2017)
  19. Sano, S., "CRISPR-Mediated Gene Editing to Assess the Roles of Tet2 and Dnmt3a in Clonal Hematopoiesis and Cardiovascular Disease", Circ. Res, 123, pp.335~341 (2018)
  20. Yura, Y., "Clonal Hematopoiesis : A New Step Linking Inflammation to Heart Failure", JACC Basic Transl. Sci, 5, pp.196~207 (2020)
  21. Jaiswal, S., "Clonal haematopoiesis : connecting ageing and inflammation in cardiovascular disease", Nat. Rev. Cardiol, 17, pp.137~144 (2020)
  22. Zheng, G. X., "Massively parallel digital transcriptional profiling of single cells", Nat. Commun, 8, pp.14049~ (2017)
  23. Stuart, T., "Comprehensive Integration of Single-Cell Data", Cell, 177, pp.1888~1902.e1821 (2019)
  24. Heaton, H., "Souporcell : robust clustering of single-cell RNA-seq data by genotype without reference genotypes", Nat. Methods, 17, pp.615~620 (2020)
  25. Finak, G., "MAST : a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data", Genome Biol, 16, pp.278~ (2015)
  26. Lee, J. S., "Immunophenotyping of COVID-19 and influenza highlights the role of type I interferons in development of severe COVID-19", Sci. Immunol, 5, pp.eabd1554~ (2020)
  27. Kuleshov, M. V., "Enrichr : a comprehensive gene set enrichment analysis web server 2016 update", Nucleic Acids Res, 44, pp.W90~W97 (2016)
  28. Qiu, X., "Single-cell mRNA quantification and differential analysis with Census", Nat. Methods, 14, pp.309~315 (2017)
  29. Pont, F., "Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets", Nucleic Acids Res, 47, pp.e133~ (2019)
  30. Rao, S. S., "A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping", Cell, 159, pp.1665~1680 (2014)
  31. Davis, C. A., "The Encyclopedia of DNA elements(ENCODE) : data portal update", Nucleic Acids Res, 46, pp.D794~D801 (2018)
  32. Qiao, Y., "Synergistic activation of inflammatory cytokine genes by interferongamma-induced chromatin remodeling and toll-like receptor signaling", Immunity, 39, pp.454~469 (2013)
  33. Zhao, H., "CrossMap : a versatile tool for coordinate conversion between genome assemblies", Bioinformatics, 30, pp.1006~1007 (2014)
  34. Duan, Q., "LINCS Canvas Browser : interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures", Nucleic Acids Res, 42, pp.W449~W460 (2014)
  35. Angioni, R., "Age-severity matched cytokine profiling reveals specific signatures in Covid-19 patients", Cell Death Dis, 11, pp.957~ (2020)
  36. Lucas, C., "Longitudinal analyses reveal immunological misfiring in severe COVID-19", Nature, 584, pp.463~469 (2020)
  37. Chua, R. L., "COVID-19 severity correlates with airway epithelium-immune cell interactions identified by single-cell analysis", Nat. Biotechnol, 38, pp.970~979 (2020)
  38. Karki, R., "Synergism of TNF-alpha and IFN-gamma Triggers Inflammatory Cell Death, Tissue Damage, and Mortality in SARS-CoV-2 Infection and Cytokine Shock Syndromes", Cell, 184, pp.149~168.e117 (2021)
  39. Zhang, F., "IFN-gamma and TNF-alpha drive a CXCL10+ CCL2+ macrophage phenotype expanded in severe COVID-19 lungs and inflammatory diseases with tissue inflammation", Genome Med, 13, pp.64~ (2021)
  40. Carvalho K., "Uncovering the Gene Regulatory Networks Underlying Macrophage Polarization Through Comparative Analysis of Bulk and Single-Cell Data", bioRxiv, ~ (2021)
  41. Kang, K., "IFN-gamma selectively suppresses a subset of TLR4-activated genes and enhancers to potentiate macrophage activation", Nat. Commun, 10, pp.3320~ (2019)
  42. Li, S., "Distinct evolution and dynamics of epigenetic and genetic heterogeneity in acute myeloid leukemia", Nat. Med, 22, pp.792~799 (2016)
  43. Jung, I., "A compendium of promoter-centered long-range chromatin interactions in the human genome", Nat. Genet, 51, pp.1442~1449 (2019)
  44. Kim, K., "covNorm : An R package for coverage based normalization of Hi-C and capture Hi-C data", Comput. Struct. Biotechnol. J, 19, pp.3149~3159 (2021)
  45. Zhang, J., "An integrative ENCODE resource for cancer genomics", Nat. Commun, 11, pp.3696~ (2020)
  46. Consortium, E. P., "An integrated encyclopedia of DNA elements in the human genome", Nature, 489, pp.57~74 (2012)
  47. Giamarellos-Bourboulis, E. J., "Complex Immune Dysregulation in COVID-19Patients with Severe Respiratory Failure", Cell Host Microbe, 27, pp.992~1000.e1003 (2020)
  48. Mathew, D., "Deep immune profiling of COVID-19 patients reveals distinct immunotypes with therapeutic implications", Science, 369, pp.eabc8511~ (2020)
  49. Nienhold, R., "Two distinct immunopathological profiles in autopsy lungs of COVID-19", Nat. Commun, 11, pp.5086~ (2020)
  50. Zhang, Q., "Inborn errors of type I IFN immunity in patients with lifethreatening COVID-19", Science, 370, pp.eabd4570~ (2020)
  51. Liao, M., "Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19", Nat. Med, 26, pp.842~844 (2020)
  52. Wilk, A. J., "A single-cell atlas of the peripheral immune response in patients with severe COVID-19", Nat. Med, 26, pp.1070~1076 (2020)
  53. Ren, X., "COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas", Cell, 184, pp.1895~1913.e1819 (2021)
  54. Stephenson, E., "Single-cell multi-omics analysis of the immune response in COVID-19", Nat. Med, 27, pp.904~916 (2021)
  55. Jaiswal, S., "Clonal hematopoiesis in human aging and disease", Science, 366, pp.eaan4673~ (2019)
  56. Liu, S., "Critical role of Syk-dependent STAT1 activation in innate antiviral immunity", Cell Rep, 34, pp.108627~ (2021)
  57. Strich, J. R., "Fostamatinib Inhibits Neutrophils Extracellular Traps Induced by COVID-19 Patient Plasma : A Potential Therapeutic", J. Infect. Dis, 223, pp.981~984 (2021)
  58. Kent, W. J., "The human genome browser at UCSC", Genome Res, 12, pp.996~1006 (2002)

관련 논문AI추천

Clinical, Mutational, and Transcriptomic Characteristics in Elderly Korean Individuals With Clonal Hematopoiesis Driver Mutations서존, 김세형, 문인기, 장미애, Ji Young Sok, Kong Min Gyu, Park Seong Kyu대한진단검사의학회 · Annals of Laboratory Medicine2023 · 제43권 제2호Current Aspects of Clonal Hematopoiesis: Implications for Clinical DiagnosisJay L. Patel, Kristin Karner, Tracy I. George대한진단검사의학회 · Annals of Laboratory Medicine2019 · 제39권 제6호클론성 조혈증에 대한 이해: 고령화 시대에 꼭 알아야 하는 것고영일대한내과학회 · 대한내과학회지2025 · 제100권 제5호SARS-CoV-2 pseudovirus dysregulates hematopoiesis and induces inflammaging of hematopoietic stem and progenitor cellsChae Dong-Hoon, Choi Soon Won, Dunbar Cynthia E., Kim Kyoung-Myeon, Oh Mi-Kyung, Park Hyun Sung, Park Jae Han, Ryu Jaechul, Yoo Hee Min, Yu Aaron, Yu Kyung-Rok생화학분자생물학회 · Experimental and Molecular Medicine2025 · 제57권 Association Between Aortic Valve Sclerosis and Clonal Hematopoiesis of Indeterminate Potential손낙훈, Bae SungA, Jung In Hyun, Kim Jin Ju, Kim Minkwan, Lee Hyeonah, Lee Seung-Tae, Shim Yeeun, Shin Saeam대한진단검사의학회 · Annals of Laboratory Medicine2024 · 제44권 제3호Mutation of ten-eleven translocation-2 is associated with increased risk of autoimmune disease in patients with myelodysplastic syndrome황상미, Ana Márquez, Dong-Soon Lee, Dong-Yeop Shin, Hee Sue Park, Javier Martín, Jin Kyun Park, Jung-Ah Kim, Kyongok Im, Sung-Min Kim, Yeong Wook Song, Yoon-Jeong Oh대한내과학회 · The Korean Journal of Internal Medicine2020 · 제35권 제2호

이 간행물의 다른 논문 (191건)