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      Functional vulnerability of liver macrophages to capsules defines virulence of blood-borne bacteria

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          Abstract

          Capsules are essential for the virulence of invasive bacteria, but how they enhance disease potential is largely undefined. This work shows that capsules enable bacteria to circumvent molecular recognition and phagocytic killing of Kupffer cells in the liver.

          Abstract

          Many encapsulated bacteria use capsules to cause invasive diseases. However, it remains largely unknown how the capsules enhance bacterial virulence under in vivo infection conditions. Here we show that the capsules primarily target the liver to enhance bacterial survival at the onset of blood-borne infections. In a mouse sepsis model, the capsules enabled human pathogens Streptococcus pneumoniae and Escherichia coli to circumvent the recognition of liver-resident macrophage Kupffer cells (KCs) in a capsular serotype-dependent manner. In contrast to effective capture of acapsular bacteria by KCs, the encapsulated bacteria are partially (low-virulence types) or completely (high-virulence types) “untouchable” for KCs. We finally identified the asialoglycoprotein receptor (ASGR) as the first known capsule receptor on KCs to recognize the low-virulence serotype-7F and -14 pneumococcal capsules. Our data identify the molecular interplay between the capsules and KCs as a master controller of the fate and virulence of encapsulated bacteria, and suggest that the interplay is targetable for therapeutic control of septic infections.

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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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            Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics.

            Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease. Here, we used a quantitative transcriptomics analysis (RNA-Seq) to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues. To present the data, we launch a new version of the Human Protein Atlas that integrates RNA and protein expression data corresponding to ∼80% of the human protein-coding genes with access to the primary data for both the RNA and the protein analysis on an individual gene level. We present a classification of all human protein-coding genes with regards to tissue-specificity and spatial expression pattern. The integrative human expression map can be used as a starting point to explore the molecular constituents of the human body.
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              Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris

              (2018)
              We have created a compendium of single cell transcriptomic data from the model organism Mus musculus comprising more than 100,000 cells from 20 organs and tissues. These data represent a new resource for cell biology, reveal gene expression in poorly characterized cell populations, and allow for direct and controlled comparison of gene expression in cell types shared between tissues, such as T-lymphocytes and endothelial cells from different anatomical locations. Two distinct technical approaches were used for most organs: one approach, microfluidic droplet-based 3’-end counting, enabled the survey of thousands of cells at relatively low coverage, while the other, FACS-based full length transcript analysis, enabled characterization of cell types with high sensitivity and coverage. The cumulative data provide the foundation for an atlas of transcriptomic cell biology.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing - original draft
                Role: Data curationRole: Formal analysisRole: Writing - original draft
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: Visualization
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: Validation
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: Writing - original draft
                Role: Data curation
                Role: Data curationRole: Formal analysisRole: Methodology
                Role: Investigation
                Role: Resources
                Role: Investigation
                Role: InvestigationRole: Methodology
                Role: Formal analysisRole: Methodology
                Role: Methodology
                Role: ConceptualizationRole: Resources
                Role: Methodology
                Role: Resources
                Role: MethodologyRole: Resources
                Role: Resources
                Role: MethodologyRole: Resources
                Role: Methodology
                Role: ConceptualizationRole: Investigation
                Role: Supervision
                Role: Supervision
                Role: Formal analysisRole: Methodology
                Role: Resources
                Role: Resources
                Role: Resources
                Role: MethodologyRole: Resources
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Journal
                J Exp Med
                J Exp Med
                jem
                The Journal of Experimental Medicine
                Rockefeller University Press
                0022-1007
                1540-9538
                04 April 2022
                08 March 2022
                : 219
                : 4
                : e20212032
                Affiliations
                [1 ] Center for Infectious Disease Research, Department of Basic Medical Science, School of Medicine, Tsinghua University, Beijing, China
                [2 ] Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China
                [3 ] School of Life Sciences, Tsinghua University, Beijing, China
                [4 ] Department of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
                [5 ] School of Life Sciences, University of Science and Technology of China, Hefei, China
                [6 ] Laboratory of Myeloid Cell Biology in Tissue Homeostasis and Regeneration, VIB Center for Inflammation Research, Ghent, Belgium
                [7 ] Department of Biomedical Molecular Biology, Faculty of Science, Ghent University, Ghent, Belgium
                [8 ] Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium
                [9 ] Laboratory of Cellular and Molecular Immunology, Vrije University Brussel, Brussels, Belgium
                [10 ] Institute of Immunology, Third Military Medical University, Chongqing, China
                [11 ] Shanghai Institute of Immunology, School of Medicine, Shanghai Jiaotong University, Shanghai, China
                [12 ] Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
                [13 ] Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA
                [14 ] The Second Affiliated Hospital of Zhejiang University, Zhejiang University, Hangzhou, China
                [15 ] Department of Clinical Laboratory, Peking University People’s Hospital, Beijing, China
                [16 ] Beijing Center for Disease Control and Prevention, Beijing, China
                [17 ] Department of General Surgery, Strategic Support Force Medical Center, Beijing, China
                Author notes
                Correspondence to Jing-Ren Zhang: zhanglab@ 123456tsinghua.edu.cn

                Disclosures: M.R. Oggioni has a PhD student jointly with GSK Vaccines working on the pathogenesis of pneumonia (BBSRC grant BB/S507052/1). No other disclosures were reported.

                [*]

                H. An, C. Qian, Y. Huang, J. Li, and X. Tian contributed equally to this paper.

                Author information
                https://orcid.org/0000-0002-5921-7402
                https://orcid.org/0000-0001-8754-4905
                https://orcid.org/0000-0002-9657-7212
                https://orcid.org/0000-0002-5848-2781
                https://orcid.org/0000-0001-7329-639X
                https://orcid.org/0000-0002-5739-8836
                https://orcid.org/0000-0002-9013-5691
                https://orcid.org/0000-0001-6872-2497
                https://orcid.org/0000-0002-5680-7861
                https://orcid.org/0000-0002-2772-2308
                https://orcid.org/0000-0001-6704-1171
                https://orcid.org/0000-0002-5499-9433
                https://orcid.org/0000-0001-6485-1865
                https://orcid.org/0000-0003-0956-3654
                https://orcid.org/0000-0001-5556-0695
                https://orcid.org/0000-0003-3525-7570
                https://orcid.org/0000-0001-8478-6941
                https://orcid.org/0000-0003-0022-6627
                https://orcid.org/0000-0002-4049-0214
                https://orcid.org/0000-0001-8758-1693
                https://orcid.org/0000-0003-4117-793X
                https://orcid.org/0000-0003-0240-6402
                https://orcid.org/0000-0002-3162-6634
                https://orcid.org/0000-0001-9496-1280
                https://orcid.org/0000-0002-2174-7985
                https://orcid.org/0000-0001-9220-0357
                https://orcid.org/0000-0002-8505-4723
                https://orcid.org/0000-0002-6833-5611
                https://orcid.org/0000-0003-4973-4243
                Article
                jem.20212032
                10.1084/jem.20212032
                8908791
                35258552
                d6f14d26-1f18-4ff6-9ff8-e6633179e685
                © 2022 An et al.

                This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).

                History
                : 29 September 2021
                : 22 December 2021
                : 24 January 2022
                Funding
                Funded by: National Natural Science Foundation of China, DOI http://dx.doi.org/10.13039/501100001809;
                Award ID: 31820103001
                Award ID: 31530082
                Funded by: Tsinghua University, DOI http://dx.doi.org/10.13039/501100004147;
                Award ID: 20201080767
                Funded by: Tsinghua-Peking Joint Center for Life Sciences Postdoctoral Foundation;
                Funded by: China Postdoctoral Science Foundation, DOI http://dx.doi.org/10.13039/501100002858;
                Award ID: 2016M590085
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                Medicine
                Medicine

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