2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genetic and immune determinants of E. coli liver abscess formation

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Significance

          Animal models of disseminating bacterial infections are critical for developing therapeutic interventions. Following systemic dissemination in mice, Escherichia coli dramatically replicates within abscesses in the liver but not in other organs. Although liver abscesses are the largest reservoir of bacteria within the animal, the processes that underlie abscess development are unknown. Here, we characterize E. coli liver abscess formation and identify several determinants of abscess susceptibility, including sex, mouse genotype, and innate immune factors. By combining spatial and single-cell transcriptomics with genetic and phenotypic analyses, we delineate critical host pathways that underlie abscess formation. Our findings reveal several avenues for future studies to unravel how abscess susceptibility determinants interact to modulate clearance of systemic infections and govern tissue-specific bacterial replication.

          Abstract

          Systemic infections can yield distinct outcomes in different tissues. In mice, intravenous inoculation of Escherichia coli leads to bacterial replication within liver abscesses, while other organs such as the spleen clear the pathogen. Abscesses are macroscopic necrotic regions that comprise the vast majority of the bacterial burden in the animal, yet little is known about the processes underlying their formation. Here, we characterize E. coli liver abscesses and identify host determinants of abscess susceptibility. Spatial transcriptomics revealed that liver abscesses are associated with heterogenous immune cell clusters comprised of macrophages, neutrophils, dendritic cells, innate lymphoid cells, and T-cells that surround necrotic regions of the liver. Abscess susceptibility is heightened in the C57BL lineage, particularly in C57BL/6N females. Backcross analyses demonstrated that abscess susceptibility is a polygenic trait inherited in a sex-dependent manner without direct linkage to sex chromosomes. As early as 1 d post infection, the magnitude of E. coli replication in the liver distinguishes abscess-susceptible and abscess-resistant strains of mice, suggesting that the immune pathways that regulate abscess formation are induced within hours. We characterized the early hepatic response with single-cell RNA sequencing and found that mice with reduced activation of early inflammatory responses, such as those lacking the LPS receptor TLR4 (Toll-like receptor 4), are resistant to abscess formation. Experiments with barcoded E. coli revealed that TLR4 mediates a tradeoff between abscess formation and bacterial clearance. Together, our findings define hallmarks of E. coli liver abscess formation and suggest that hyperactivation of the hepatic innate immune response drives liver abscess susceptibility.

          Related collections

          Most cited references52

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Integrated analysis of multimodal single-cell data

          Summary The simultaneous measurement of multiple modalities represents an exciting frontier for single-cell genomics and necessitates computational methods that can define cellular states based on multimodal data. Here, we introduce “weighted-nearest neighbor” analysis, an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities. We apply our procedure to a CITE-seq dataset of 211,000 human peripheral blood mononuclear cells (PBMCs) with panels extending to 228 antibodies to construct a multimodal reference atlas of the circulating immune system. Multimodal analysis substantially improves our ability to resolve cell states, allowing us to identify and validate previously unreported lymphoid subpopulations. Moreover, we demonstrate how to leverage this reference to rapidly map new datasets and to interpret immune responses to vaccination and coronavirus disease 2019 (COVID-19). Our approach represents a broadly applicable strategy to analyze single-cell multimodal datasets and to look beyond the transcriptome toward a unified and multimodal definition of cellular identity.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells.

            Knowledge of the expression profile and spatial landscape of the transcriptome in individual cells is essential for understanding the rich repertoire of cellular behaviors. Here, we report multiplexed error-robust fluorescence in situ hybridization (MERFISH), a single-molecule imaging approach that allows the copy numbers and spatial localizations of thousands of RNA species to be determined in single cells. Using error-robust encoding schemes to combat single-molecule labeling and detection errors, we demonstrated the imaging of 100 to 1000 distinct RNA species in hundreds of individual cells. Correlation analysis of the ~10(4) to 10(6) pairs of genes allowed us to constrain gene regulatory networks, predict novel functions for many unannotated genes, and identify distinct spatial distribution patterns of RNAs that correlate with properties of the encoded proteins.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Extensive mosaic structure revealed by the complete genome sequence of uropathogenic Escherichia coli.

              We present the complete genome sequence of uropathogenic Escherichia coli, strain CFT073. A three-way genome comparison of the CFT073, enterohemorrhagic E. coli EDL933, and laboratory strain MG1655 reveals that, amazingly, only 39.2% of their combined (nonredundant) set of proteins actually are common to all three strains. The pathogen genomes are as different from each other as each pathogen is from the benign strain. The difference in disease potential between O157:H7 and CFT073 is reflected in the absence of genes for type III secretion system or phage- and plasmid-encoded toxins found in some classes of diarrheagenic E. coli. The CFT073 genome is particularly rich in genes that encode potential fimbrial adhesins, autotransporters, iron-sequestration systems, and phase-switch recombinases. Striking differences exist between the large pathogenicity islands of CFT073 and two other well-studied uropathogenic E. coli strains, J96 and 536. Comparisons indicate that extraintestinal pathogenic E. coli arose independently from multiple clonal lineages. The different E. coli pathotypes have maintained a remarkable synteny of common, vertically evolved genes, whereas many islands interrupting this common backbone have been acquired by different horizontal transfer events in each strain.
                Bookmark

                Author and article information

                Contributors
                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                14 December 2023
                19 December 2023
                14 December 2023
                : 120
                : 51
                : e2310053120
                Affiliations
                [1] aDepartment of Microbiology, Harvard Medical School , Boston, MA 02115
                [2] bDivision of Infectious Diseases, Brigham & Women’s Hospital , Boston, MA 02115
                [3] cDepartment of Medicine, Division of Endocrinology, Diabetes and Hypertension, Brigham and Women’s Hospital, Harvard Medical School , Boston, MA 02115
                [4] dDepartment of Cell Biology and Genetics, Texas A&M University , College Station, TX 76549
                [5] eDepartment of Nutrition , Texas A&M University , College Station, TX 76549
                Author notes
                1To whom correspondence may be addressed. Email: hullahalli@ 123456g.harvard.edu or mwaldor@ 123456bwh.harvard.edu .

                Edited by Jeff Miller, University of California, Los Angeles, CA; received June 14, 2023; accepted November 9, 2023

                Author information
                https://orcid.org/0000-0003-3064-2090
                https://orcid.org/0009-0004-7013-0932
                https://orcid.org/0000-0002-4903-010X
                https://orcid.org/0000-0003-3538-1635
                https://orcid.org/0000-0002-5799-219X
                https://orcid.org/0000-0003-1843-7000
                Article
                202310053
                10.1073/pnas.2310053120
                10743367
                38096412
                000c33a3-7202-44bb-b972-203b86ae0270
                Copyright © 2023 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 14 June 2023
                : 09 November 2023
                Page count
                Pages: 12, Words: 9164
                Funding
                Funded by: HHS | National Institutes of Health (NIH), FundRef 100000002;
                Award ID: F31 AI156949
                Award Recipient : Karthik Hullahalli Award Recipient : Matthew K. Waldor
                Funded by: HHS | National Institutes of Health (NIH), FundRef 100000002;
                Award ID: R01 AI042347
                Award Recipient : Karthik Hullahalli Award Recipient : Matthew K. Waldor
                Funded by: Howard Hughes Medical Institute (HHMI), FundRef 100000011;
                Award ID: n/a
                Award Recipient : Matthew K. Waldor
                Categories
                dataset, Dataset
                research-article, Research Article
                microbio, Microbiology
                423
                Biological Sciences
                Microbiology

                liver abscess,systemic infection,e. coli,tlr4
                liver abscess, systemic infection, e. coli, tlr4

                Comments

                Comment on this article