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Zhang K, Shen X, Han L, Wang M, Lian S, Wang K, Li C. Effects on the intestinal morphology, inflammatory response and microflora in piglets challenged with enterotoxigenic Escherichia coli K88. Res Vet Sci 2023; 157:50-61. [PMID: 36871456 DOI: 10.1016/j.rvsc.2023.02.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 02/17/2023] [Accepted: 02/25/2023] [Indexed: 03/03/2023]
Abstract
Enterotoxigenic Escherichia coli (ETEC) is an important cause of diarrhea in piglets, which leads to great economic losses. In this study, the ternary crossbred weaned piglets were orally administered with 1.5 × 1011 CFU ETEC K88 for three days. The results showed the ratio of villus length to crypt depth decreased in the duodenum and ileum after ETEC K88 infection. The expression of tight junction proteins ZO-1 in the jejunum and ileum, occludin in the jejunum and colon, and claudin-1 in the colon were down-regulated. The expression of IL-8 in the duodenum and jejunum, IL-13 in the colon, and TNF-α in the jejunum and colon were up-regulated. The expression of pBD1 in the colon, pBD2 in the jejunum, and pBD3 in the duodenum increased after infection. Meanwhile, the expression of TLR4, p38 MAPK and NF-κB p65 increased in all intestinal segments. Moreover, the expression of IL-8 in superficial cervical lymph nodes (SCLN), TNF-α in mesenteric lymph nodes (MLN), and IL-13 in inguinal lymph nodes (ILN) and MLN were up-regulated. The expression of pBD1 and pBD2 in SCLN and MLN, and pBD3 in SCLN were up-regulated. Acidobacteria and Proteobacteria were the most abundant phyla in both groups by analysis of intestinal microflora using 16 s rRNA sequencing, and the relative abundances of bacteria were found to be changed by Metastats software and LEfSe analysis. Our results indicated that cytokines and pBDs had different roles in different intestinal segments or different lymph nodes against ETEC K88, and gut microbiota was influenced after infection.
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Affiliation(s)
- Kun Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, People's Republic of China
| | - Xiaoyang Shen
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, People's Republic of China
| | - Lu Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, People's Republic of China; Henan Animal Husbandry Service, Zhengzhou, Henan, People's Republic of China
| | - Mengyun Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, People's Republic of China
| | - Shaoqiang Lian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, People's Republic of China
| | - Kejun Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, People's Republic of China.
| | - Chunli Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, People's Republic of China.
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Xiang M, Grosso RA, Takeda A, Pan J, Bekkhus T, Brulois K, Dermadi D, Nordling S, Vanlandewijck M, Jalkanen S, Ulvmar MH, Butcher EC. A Single-Cell Transcriptional Roadmap of the Mouse and Human Lymph Node Lymphatic Vasculature. Front Cardiovasc Med 2020; 7:52. [PMID: 32426372 PMCID: PMC7204639 DOI: 10.3389/fcvm.2020.00052] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Accepted: 03/18/2020] [Indexed: 01/08/2023] Open
Abstract
Single-cell transcriptomics promise to revolutionize our understanding of the vasculature. Emerging computational methods applied to high-dimensional single-cell data allow integration of results between samples and species and illuminate the diversity and underlying developmental and architectural organization of cell populations. Here, we illustrate these methods in the analysis of mouse lymph node (LN) lymphatic endothelial cells (LEC) at single-cell resolution. Clustering identifies five well-delineated subsets, including two medullary sinus subsets not previously recognized as distinct. Nearest neighbor alignments in trajectory space position the major subsets in a sequence that recapitulates the known features and suggests novel features of LN lymphatic organization, providing a transcriptional map of the lymphatic endothelial niches and of the transitions between them. Differences in gene expression reveal specialized programs for (1) subcapsular ceiling endothelial interactions with the capsule connective tissue and cells; (2) subcapsular floor regulation of lymph borne cell entry into the LN parenchyma and antigen presentation; and (3) pathogen interactions and (4) LN remodeling in distinct medullary subsets. LEC of the subcapsular sinus floor and medulla, which represent major sites of cell entry and exit from the LN parenchyma respectively, respond robustly to oxazolone inflammation challenge with enriched signaling pathways that converge on both innate and adaptive immune responses. Integration of mouse and human single-cell profiles reveals a conserved cross-species pattern of lymphatic vascular niches and gene expression, as well as specialized human subsets and genes unique to each species. The examples provided demonstrate the power of single-cell analysis in elucidating endothelial cell heterogeneity, vascular organization, and endothelial cell responses. We discuss the findings from the perspective of LEC functions in relation to niche formations in the unique stromal and highly immunological environment of the LN.
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Affiliation(s)
- Menglan Xiang
- Laboratory of Immunology and Vascular Biology, Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
- Palo Alto Veterans Institute for Research, Palo Alto, CA, United States
- The Center for Molecular Biology and Medicine, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - Rubén Adrián Grosso
- The Beijer Laboratory, Department Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Akira Takeda
- MediCity Research Laboratory and Institute of Biomedicine, University of Turku, Turku, Finland
| | - Junliang Pan
- Palo Alto Veterans Institute for Research, Palo Alto, CA, United States
- The Center for Molecular Biology and Medicine, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - Tove Bekkhus
- The Beijer Laboratory, Department Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Kevin Brulois
- Palo Alto Veterans Institute for Research, Palo Alto, CA, United States
- The Center for Molecular Biology and Medicine, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - Denis Dermadi
- Laboratory of Immunology and Vascular Biology, Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
- Palo Alto Veterans Institute for Research, Palo Alto, CA, United States
| | - Sofia Nordling
- Laboratory of Immunology and Vascular Biology, Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
- Palo Alto Veterans Institute for Research, Palo Alto, CA, United States
- The Center for Molecular Biology and Medicine, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - Michael Vanlandewijck
- The Beijer Laboratory, Department Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
- Karolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI/AZ ICMC), Stockholm, Sweden
| | - Sirpa Jalkanen
- MediCity Research Laboratory and Institute of Biomedicine, University of Turku, Turku, Finland
| | - Maria H. Ulvmar
- The Beijer Laboratory, Department Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Eugene C. Butcher
- Laboratory of Immunology and Vascular Biology, Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
- Palo Alto Veterans Institute for Research, Palo Alto, CA, United States
- The Center for Molecular Biology and Medicine, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
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Firdessa-Fite R, Creusot RJ. Nanoparticles versus Dendritic Cells as Vehicles to Deliver mRNA Encoding Multiple Epitopes for Immunotherapy. MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT 2019; 16:50-62. [PMID: 31871957 PMCID: PMC6909218 DOI: 10.1016/j.omtm.2019.10.015] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 10/31/2019] [Indexed: 02/06/2023]
Abstract
The efficacy of antigen-specific immunotherapy relies heavily on efficient antigen delivery to antigen-presenting cells and engagement of as many disease-relevant T cells as possible in various lymphoid tissues, which are challenging to achieve. Here, we compared two approaches to deliver mRNA encoding multiple epitopes targeting both CD4+ and CD8+ T cells: a lipid-based nanoparticle platform to target endogenous antigen-presenting cells in vivo versus ex vivo mRNA-electroporated dendritic cells. After intraperitoneal injection, the nanoparticle platform facilitated efficient entry of mRNA into various endogenous antigen-presenting cells, including lymph node stromal cells, and elicited robust T cell responses within a wider network of lymphoid tissues compared with dendritic cells. Following intravenous injection, mRNA-electroporated dendritic cells and the nanoparticle platform localized primarily in lung and spleen, respectively. When administered locally via an intradermal route, both platforms resulted in mRNA expression at the injection site and in robust T cell responses in draining lymph nodes. This study indicates that multiple epitopes, customizable for specific patient populations and encoded by mRNA, can be targeted to different lymphoid tissues based on delivery vehicle and route, and constitute the groundwork for future studies using mRNA to reprogram exogenous or endogenous APCs for immunotherapy.
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Affiliation(s)
- Rebuma Firdessa-Fite
- Columbia Center for Translational Immunology, Department of Medicine and Naomi Berrie Diabetes Center, Columbia University Medical Center, New York, NY, USA
| | - Rémi J Creusot
- Columbia Center for Translational Immunology, Department of Medicine and Naomi Berrie Diabetes Center, Columbia University Medical Center, New York, NY, USA
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