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      Dynamic changes in human single-cell transcriptional signatures during fatal sepsis

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          Abstract

          Systemic infections, especially in patients with chronic diseases, may result in sepsis: an explosive, uncoordinated immune response that can lead to multisystem organ failure with a high mortality rate. Patients with similar clinical phenotypes or sepsis biomarker expression upon diagnosis may have different outcomes, suggesting that the dynamics of sepsis is critical in disease progression. A within-subject study of patients with Gram-negative bacterial sepsis with surviving and fatal outcomes was designed and single-cell transcriptomic analyses of peripheral blood mononuclear cells (PBMC) collected during the critical period between sepsis diagnosis and 6 h were performed. The single-cell observations in the study are consistent with trends from public datasets but also identify dynamic effects in individual cell subsets that change within hours. It is shown that platelet and erythroid precursor responses are drivers of fatal sepsis, with transcriptional signatures that are shared with severe COVID-19 disease. It is also shown that hypoxic stress is a driving factor in immune and metabolic dysfunction of monocytes and erythroid precursors. Last, the data support CD52 as a prognostic biomarker and therapeutic target for sepsis as its expression dynamically increases in lymphocytes and correlates with improved sepsis outcomes. In conclusion, this study describes the first single-cell study that analyzed short-term temporal changes in the immune cell populations and their characteristics in surviving or fatal sepsis. Tracking temporal expression changes in specific cell types could lead to more accurate predictions of sepsis outcomes and identify molecular biomarkers and pathways that could be therapeutically controlled to improve the sepsis trajectory toward better outcomes.

          Graphical Abstract

          Single cell transcriptomics of peripheral blood mononuclear cells in surviving and fatal sepsis reveal inflammatory and metabolic pathways that change within hours of sepsis recognition.

          Graphical Abstract

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          Most cited references75

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          clusterProfiler: an R package for comparing biological themes among gene clusters.

          Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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            Comprehensive Integration of Single-Cell Data

            Single-cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomic listing of clusters. As new methods arise to measure distinct cellular modalities, a key analytical challenge is to integrate these datasets to better understand cellular identity and function. Here, we develop a strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities. After demonstrating improvement over existing methods for integrating scRNA-seq data, we anchor scRNA-seq experiments with scATAC-seq to explore chromatin differences in closely related interneuron subsets and project protein expression measurements onto a bone marrow atlas to characterize lymphocyte populations. Lastly, we harmonize in situ gene expression and scRNA-seq datasets, allowing transcriptome-wide imputation of spatial gene expression patterns. Our work presents a strategy for the assembly of harmonized references and transfer of information across datasets.
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              Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study

              Summary Background Sepsis is life-threatening organ dysfunction due to a dysregulated host response to infection. It is considered a major cause of health loss, but data for the global burden of sepsis are limited. As a syndrome caused by underlying infection, sepsis is not part of standard Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) estimates. Accurate estimates are important to inform and monitor health policy interventions, allocation of resources, and clinical treatment initiatives. We estimated the global, regional, and national incidence of sepsis and mortality from this disorder using data from GBD 2017. Methods We used multiple cause-of-death data from 109 million individual death records to calculate mortality related to sepsis among each of the 282 underlying causes of death in GBD 2017. The percentage of sepsis-related deaths by underlying GBD cause in each location worldwide was modelled using mixed-effects linear regression. Sepsis-related mortality for each age group, sex, location, GBD cause, and year (1990–2017) was estimated by applying modelled cause-specific fractions to GBD 2017 cause-of-death estimates. We used data for 8·7 million individual hospital records to calculate in-hospital sepsis-associated case-fatality, stratified by underlying GBD cause. In-hospital sepsis-associated case-fatality was modelled for each location using linear regression, and sepsis incidence was estimated by applying modelled case-fatality to sepsis-related mortality estimates. Findings In 2017, an estimated 48·9 million (95% uncertainty interval [UI] 38·9–62·9) incident cases of sepsis were recorded worldwide and 11·0 million (10·1–12·0) sepsis-related deaths were reported, representing 19·7% (18·2–21·4) of all global deaths. Age-standardised sepsis incidence fell by 37·0% (95% UI 11·8–54·5) and mortality decreased by 52·8% (47·7–57·5) from 1990 to 2017. Sepsis incidence and mortality varied substantially across regions, with the highest burden in sub-Saharan Africa, Oceania, south Asia, east Asia, and southeast Asia. Interpretation Despite declining age-standardised incidence and mortality, sepsis remains a major cause of health loss worldwide and has an especially high health-related burden in sub-Saharan Africa. Funding The Bill & Melinda Gates Foundation, the National Institutes of Health, the University of Pittsburgh, the British Columbia Children's Hospital Foundation, the Wellcome Trust, and the Fleming Fund.
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                Author and article information

                Contributors
                Journal
                J Leukoc Biol
                J Leukoc Biol
                jleukbio
                Journal of Leukocyte Biology
                Oxford University Press
                0741-5400
                1938-3673
                December 2021
                24 September 2021
                24 September 2021
                : 110
                : 6
                : 1253-1268
                Affiliations
                Graduate Program in Genetics, Genomics and Bioinformatics, University of California Riverside , Riverside, California, USA
                Division of Biomedical Sciences, School of Medicine, University of California Riverside , Riverside, California, USA
                Division of Pulmonary and Critical Care, Riverside University Health System Medical Center , Riverside, California, USA
                Department of Internal Medicine, Division of Pulmonary and Critical Care, Loma Linda University , Loma Linda, California, USA
                Division of Biomedical Sciences, School of Medicine, University of California Riverside , Riverside, California, USA
                Division of Pulmonary and Critical Care, Riverside University Health System Medical Center , Riverside, California, USA
                Division of Pulmonary and Critical Care, Riverside University Health System Medical Center , Riverside, California, USA
                Division of Biomedical Sciences, School of Medicine, University of California Riverside , Riverside, California, USA
                Division of Biomedical Sciences, School of Medicine, University of California Riverside , Riverside, California, USA
                Author notes
                Correspondence Adam Godzik, PhD, Division of Biomedical Sciences, University of California Riverside School of Medicine, 329 SOM Research Buildin. Email: adam.godzik@ 123456medsch.ucr.edu Meera Nair, PhD, 3135 Multidisciplinary Building, University of California, Riverside CA92521. Email: meera.nair@ 123456medsch.ucr.edu
                Article
                jlb11021
                10.1002/JLB.5MA0721-825R
                8629881
                34558746
                5bd8141d-d72b-4bc7-8c4f-870bd732991d
                ©2021 Society for Leukocyte Biology

                This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

                This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

                History
                : 10 February 2021
                : 30 July 2021
                : 03 September 2021
                Page count
                Pages: 16
                Categories
                Virtual SLB Annual Meeting
                Guest Editors: Ilhem Messaoudi, Louis Justement, Juhi Bagaitkar, Cynthia Leifer, Irving Coy Allen, Deborah A. Fraser
                Covid-19 Special Section

                Hematology
                cd52,gram-negative bacteria,inflammation,platelet,sepsis
                Hematology
                cd52, gram-negative bacteria, inflammation, platelet, sepsis

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