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Cillo AR, Somasundaram A, Shan F, Cardello C, Workman CJ, Kitsios GD, Ruffin A, Kunning S, Lampenfeld C, Onkar S, Grebinoski S, Deshmukh G, Methe B, Liu C, Nambulli S, Andrews L, Duprex WP, Joglekar AV, Benos PV, Ray P, Ray A, McVerry BJ, Zhang Y, Lee JS, Das J, Singh H, Morris A, Bruno TC, Vignali DAA. Bifurcated monocyte states are predictive of mortality in severe COVID-19. bioRxiv 2021:2021.02.10.430499. [PMID: 33594364 PMCID: PMC7885916 DOI: 10.1101/2021.02.10.430499] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
Abstract
Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 infection presents with varied clinical manifestations1, ranging from mild symptoms to acute respiratory distress syndrome (ARDS) with high mortality2,3. Despite extensive analyses, there remains an urgent need to delineate immune cell states that contribute to mortality in severe COVID-19. We performed high-dimensional cellular and molecular profiling of blood and respiratory samples from critically ill COVID-19 patients to define immune cell genomic states that are predictive of outcome in severe COVID-19 disease. Critically ill patients admitted to the intensive care unit (ICU) manifested increased frequencies of inflammatory monocytes and plasmablasts that were also associated with ARDS not due to COVID-19. Single-cell RNAseq (scRNAseq)-based deconvolution of genomic states of peripheral immune cells revealed distinct gene modules that were associated with COVID-19 outcome. Notably, monocytes exhibited bifurcated genomic states, with expression of a cytokine gene module exemplified by CCL4 (MIP-1β) associated with survival and an interferon signaling module associated with death. These gene modules were correlated with higher levels of MIP-1β and CXCL10 levels in plasma, respectively. Monocytes expressing genes reflective of these divergent modules were also detectable in endotracheal aspirates. Machine learning algorithms identified the distinctive monocyte modules as part of a multivariate peripheral immune system state that was predictive of COVID-19 mortality. Follow-up analysis of the monocyte modules on ICU day 5 was consistent with bifurcated states that correlated with distinct inflammatory cytokines. Our data suggests a pivotal role for monocytes and their specific inflammatory genomic states in contributing to mortality in life-threatening COVID-19 disease and may facilitate discovery of new diagnostics and therapeutics.
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Affiliation(s)
- Anthony R Cillo
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
| | - Ashwin Somasundaram
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
| | - Feng Shan
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
- Integrative Systems Biology (ISB) Graduate Program, University of Pittsburgh School of Medicine, 200 Lothrop St., Pittsburgh, PA 15213, USA
| | - Carly Cardello
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
| | - Creg J Workman
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
| | - Georgios D Kitsios
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15213, USA
| | - Ayana Ruffin
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
- Graduate Program of Microbiology and Immunology (PMI), University of Pittsburgh School of Medicine, 200 Lothrop St., Pittsburgh, PA 15213, USA
| | - Sheryl Kunning
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
| | - Caleb Lampenfeld
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
| | - Sayali Onkar
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
- Graduate Program of Microbiology and Immunology (PMI), University of Pittsburgh School of Medicine, 200 Lothrop St., Pittsburgh, PA 15213, USA
| | - Stephanie Grebinoski
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
- Graduate Program of Microbiology and Immunology (PMI), University of Pittsburgh School of Medicine, 200 Lothrop St., Pittsburgh, PA 15213, USA
| | - Gaurav Deshmukh
- Meso Scale Discovery, A division of Meso Scale Diagnostics, LLC, 1601 Research Boulevard, Rockville, MD 20850-3173, USA
| | - Barbara Methe
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15213, USA
| | - Chang Liu
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
| | - Sham Nambulli
- Center for Vaccine Research, University of Pittsburgh, 3501 Fifth Avenue, Pittsburgh, PA 15261, USA
- Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lawrence Andrews
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
| | - W Paul Duprex
- Center for Vaccine Research, University of Pittsburgh, 3501 Fifth Avenue, Pittsburgh, PA 15261, USA
- Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alok V Joglekar
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Center for Systems Immunology, Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15213, USA
| | - Panayiotis V Benos
- Department of Computer Science, University of Pittsburgh, 4200 Fifth Avenue, Pittsburgh, PA 15260, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15213, USA
| | - Prabir Ray
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- University of Pittsburgh Asthma Institute at the University of Pittsburgh Medical Center, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Anuradha Ray
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- University of Pittsburgh Asthma Institute at the University of Pittsburgh Medical Center, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Bryan J McVerry
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15213, USA
| | - Yingze Zhang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15213, USA
| | - Janet S Lee
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15213, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jishnu Das
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Center for Systems Immunology, Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15213, USA
| | - Harinder Singh
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Center for Systems Immunology, Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15213, USA
| | - Alison Morris
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15213, USA
| | - Tullia C Bruno
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
- Cancer Immunology and Immunotherapy Program, UPMC Hillman Cancer Center, Pittsburgh, PA 15232, USA
| | - Dario A A Vignali
- Department of Immunology, School of Medicine, University of Pittsburgh. Pittsburgh, PA 15260, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center. Pittsburgh, PA 15232, USA
- Cancer Immunology and Immunotherapy Program, UPMC Hillman Cancer Center, Pittsburgh, PA 15232, USA
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Liu D, Li X, Acharya R, Meyer EM, Reynolds S, Ruffin A, Ferris RL, Vignali DA, Bao R, Bruno TC. Abstract PO-083: Utilizing spatial transcriptomics to elucidate tertiary lymphoid structure heterogeneity in human cancer. Cancer Res 2020. [DOI: 10.1158/1538-7445.tumhet2020-po-083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Blockade of the inhibitory PD1 pathway on CD8+ and CD4+ tumor infiltrating lymphocytes (TILs) has revolutionized standard of care for cancer patients. However, these approaches only benefit approximately 20% of cancer patients, thus a more comprehensive understanding of the immune response is paramount for the development of new therapeutic approaches and enhancement of the anti-tumor immune response. The presence of tertiary lymphoid structures (TLS) correlates with enhanced anti-tumor immunity and improved prognosis in several solid tumors. These ectopic lymphoid aggregates can exhibit features like secondary lymphoid organs (SLOs), including high endothelial venules, a T cell zone with mature dendritic cells (DCs), and a germinal center (GC) with follicular DCs and B cells, that facilitate the induction of immune responses in situ. Furthermore, the presence of TLS correlate with superior responses to immunotherapy and mature, GC-containing TLS correlate with increased T cell function in human tumors. However, current immunotherapies do not target TLS despite their predominance in the tumor microenvironment (TME) and key role in the adaptive immune response. Developing therapies that adequately induce TLS is limited by a lack of objective, bioinformatic analyses to elucidate the cellular and locational heterogeneity of TLS. TLS differences in composition are thought to define maturation levels i.e. early TLS have B and T cell aggregates but lack follicular DC and GC appear as the TLS mature. However, cellular composition is just one aspect of TLS heterogeneity. To successfully increase mature TLS in cancer patients for maximal humoral immunity, we must first understand the complete transcriptomic and proteomic profile of TLS in cancer patients. We have utilized the innovative Nanostring GeoMx platform to spatially interrogate the transcriptomics and proteomics associated with TLS. By pairing this technology with high level multispectral immunofluorescence via the Vectra Polaris system, we can link TLS heterogeneity to TLS position within the tumor. Further, we can analyze the complete activation profile of B and T cells to understand how TLS heterogeneity affects lymphocyte function. Our data have indicated that TLS can be linked to increased CD8+ T cell infiltrate and function. In fact, when mature TLS are not present, CD8+ T cell and Treg interactions increase, ultimately creating a more immunosuppressive TME. Lastly, utilizing a novel, robust bioinformatic pipeline, we have identified new genes that will aid in an objective definition of TLS. Specifically, CD27 is increased within TLS that are proximal to the tumor compared to those in the normal adjacent tissue. These studies will revolutionize the way in which TLS are defined within the TME, ultimately offering comprehensive gene and protein analysis of TLS that includes spatial geography of the structures and an unbiased, objective definition of TLS for future clinical utility and immunotherapeutic targeting.
Citation Format: Dongyan Liu, Xiang Li, Rajesh Acharya, Ernest M. Meyer, Shelley Reynolds, Ayana Ruffin, Robert L. Ferris, Dario A.A. Vignali, Riyue Bao, Tullia C. Bruno. Utilizing spatial transcriptomics to elucidate tertiary lymphoid structure heterogeneity in human cancer [abstract]. In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr PO-083.
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Affiliation(s)
| | - Xiang Li
- 1University of Pittsburgh, Pittsburgh, PA,
| | | | | | | | | | | | | | - Riyue Bao
- 2Hillman Cancer Center, Pittsburgh, PA
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Chmura JC, Herold K, Ruffin A, Atuobi T, Fabiyi Y, Mitchell AE, Choi YB, Ehrlich ES. The Itch ubiquitin ligase is required for KSHV RTA induced vFLIP degradation. Virology 2016; 501:119-126. [PMID: 27912080 DOI: 10.1016/j.virol.2016.11.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 10/19/2016] [Accepted: 11/23/2016] [Indexed: 01/22/2023]
Abstract
Expression of Kaposi's sarcoma herpesvirus vFLIP, a potent activator of NFkB signaling, promotes latency. Inhibition of NFkB signaling promotes lytic reactivation. We previously reported that lytic inducer, RTA, inhibits vFLIP induced NFkB signaling by inducing the degradation of vFLIP via the proteasome. Here we report that the cellular ubiquitin ligase, Itch, is required for RTA induced degradation of vFLIP. Expression of either Itch targeting shRNA or a dominant negative mutant of the ubiquitin ligase both increased the stability of vFLIP in the presence of RTA. Itch potently ubiquitinated vFLIP in vivo and in vitro. We provide evidence for interaction between RTA, vFLIP and Itch and we identified an RTA resistant mutant of vFLIP that is unable to interact with Itch. These observations contribute to our understanding of how RTA counteracts the activities of vFLIP.
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Affiliation(s)
- Jennifer C Chmura
- Department of Biological Sciences, Towson University, 8000 York Rd, Towson, MD 21252, USA
| | - Kevin Herold
- Department of Biological Sciences, Towson University, 8000 York Rd, Towson, MD 21252, USA
| | - Ayana Ruffin
- Department of Biological Sciences, Towson University, 8000 York Rd, Towson, MD 21252, USA
| | - Trudymae Atuobi
- Department of Biological Sciences, Towson University, 8000 York Rd, Towson, MD 21252, USA
| | - Yetunde Fabiyi
- Department of Biological Sciences, Towson University, 8000 York Rd, Towson, MD 21252, USA
| | - Ashley E Mitchell
- Department of Biological Sciences, Towson University, 8000 York Rd, Towson, MD 21252, USA
| | - Young Bong Choi
- Viral Oncology Program, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 1650 Orleans Street, CRB1, Baltimore, MD 21231, USA
| | - Elana S Ehrlich
- Department of Biological Sciences, Towson University, 8000 York Rd, Towson, MD 21252, USA.
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