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1.
Front Big Data ; 7: 1396638, 2024.
Article in English | MEDLINE | ID: mdl-38638341

ABSTRACT

[This corrects the article DOI: 10.3389/fdata.2023.1086212.].

2.
Front Big Data ; 6: 1086212, 2023.
Article in English | MEDLINE | ID: mdl-38025946

ABSTRACT

Introduction: Maintaining an affordable and nutritious diet can be challenging, especially for those living under the conditions of poverty. To fulfill a healthy diet, consumers must make difficult decisions within a complicated food landscape. Decisions must factor information on health and budget constraints, the food supply and pricing options at local grocery stores, and nutrition and portion guidelines provided by government services. Information to support food choice decisions is often inconsistent and challenging to find, making it difficult for consumers to make informed, optimal decisions. This is especially true for low-income and Supplemental Nutrition Assistance Program (SNAP) households which have additional time and cost constraints that impact their food purchases and ultimately leave them more susceptible to malnutrition and obesity. The goal of this paper is to demonstrate how the integration of data from local grocery stores and federal government databases can be used to assist specific communities in meeting their unique health and budget challenges. Methods: We discuss many of the challenges of integrating multiple data sources, such as inconsistent data availability and misleading nutrition labels. We conduct a case study using linear programming to identify a healthy meal plan that stays within a limited SNAP budget and also adheres to the Dietary Guidelines for Americans. Finally, we explore the main drivers of cost of local food products with emphasis on the nutrients determined by the USDA as areas of focus: added sugars, saturated fat, and sodium. Results and discussion: Our case study results suggest that such an optimization model can be used to facilitate food purchasing decisions within a given community. By focusing on the community level, our results will inform future work navigating the complex networks of food information to build global recommendation systems.

4.
Nature ; 610(7933): 737-743, 2022 10.
Article in English | MEDLINE | ID: mdl-36071167

ABSTRACT

The mutualistic relationship of gut-resident microbiota and the host immune system promotes homeostasis that ensures maintenance of the microbial community and of a largely non-aggressive immune cell compartment1,2. The consequences of disturbing this balance include proximal inflammatory conditions, such as Crohn's disease, and systemic illnesses. This equilibrium is achieved in part through the induction of both effector and suppressor arms of the adaptive immune system. Helicobacter species induce T regulatory (Treg) and T follicular helper (TFH) cells under homeostatic conditions, but induce inflammatory T helper 17 (TH17) cells when induced Treg (iTreg) cells are compromised3,4. How Helicobacter and other gut bacteria direct T cells to adopt distinct functions remains poorly understood. Here we investigated the cells and molecular components required for iTreg cell differentiation. We found that antigen presentation by cells expressing RORγt, rather than by classical dendritic cells, was required and sufficient for induction of Treg cells. These RORγt+ cells-probably type 3 innate lymphoid cells and/or Janus cells5-require the antigen-presentation machinery, the chemokine receptor CCR7 and the TGFß activator αv integrin. In the absence of any of these factors, there was expansion of pathogenic TH17 cells instead of iTreg cells, induced by CCR7-independent antigen-presenting cells. Thus, intestinal commensal microbes and their products target multiple antigen-presenting cells with pre-determined features suited to directing appropriate T cell differentiation programmes, rather than a common antigen-presenting cell that they endow with appropriate functions.


Subject(s)
Cell Differentiation , Gastrointestinal Microbiome , Nuclear Receptor Subfamily 1, Group F, Member 3 , T-Lymphocytes, Regulatory , Dendritic Cells/immunology , Gastrointestinal Microbiome/immunology , Homeostasis , Immunity, Innate , Integrin alphaV/metabolism , Nuclear Receptor Subfamily 1, Group F, Member 3/metabolism , Receptors, CCR7/metabolism , T-Lymphocytes, Regulatory/cytology , T-Lymphocytes, Regulatory/immunology , Th17 Cells/immunology , Transforming Growth Factor beta/metabolism , Antigen Presentation/immunology , Antigen-Presenting Cells/cytology , Antigen-Presenting Cells/immunology
5.
Sci Immunol ; 6(65): eabl5053, 2021 Nov 12.
Article in English | MEDLINE | ID: mdl-34767455

ABSTRACT

The autoimmune regulator (Aire), a well-defined transcriptional regulator in the thymus, is also found in extrathymic Aire-expressing cells (eTACs) in the secondary lymphoid organs. eTACs are hematopoietic antigen-presenting cells and inducers of immune tolerance, but their precise identity has remained unclear. Here, we use single-cell multiomics, transgenic murine models, and functional approaches to define eTACs at the transcriptional, genomic, and proteomic level. We find that eTACs consist of two similar cell types: CCR7+ Aire-expressing migratory dendritic cells (AmDCs) and an Airehi population coexpressing Aire and retinoic acid receptor­related orphan receptor γt (RORγt) that we term Janus cells (JCs). Both JCs and AmDCs have the highest transcriptional and genomic homology to CCR7+ migratory dendritic cells. eTACs, particularly JCs, have highly accessible chromatin and broad gene expression, including a range of tissue-specific antigens, as well as remarkable homology to medullary thymic epithelium and RANK-dependent Aire expression. Transgenic self-antigen expression by eTACs is sufficient to induce negative selection and prevent autoimmune diabetes. This transcriptional, genomic, and functional symmetry between eTACs (both JCs and AmDCs) and medullary thymic epithelium­the other principal Aire-expressing population and a key regulator of central tolerance­identifies a core program that may influence self-representation and tolerance across the spectrum of immune development.


Subject(s)
Epithelium/immunology , Single-Cell Analysis , Thymus Gland/immunology , Transcription Factors/immunology , Animals , Immune Tolerance/immunology , Mice , Mice, Inbred C57BL , Mice, Inbred NOD , Mice, Transgenic , Thymus Gland/cytology , AIRE Protein
6.
Nat Commun ; 12(1): 1096, 2021 02 17.
Article in English | MEDLINE | ID: mdl-33597545

ABSTRACT

The thymus' key function in the immune system is to provide the necessary environment for the development of diverse and self-tolerant T lymphocytes. While recent evidence suggests that the thymic stroma is comprised of more functionally distinct subpopulations than previously appreciated, the extent of this cellular heterogeneity in the human thymus is not well understood. Here we use single-cell RNA sequencing to comprehensively profile the human thymic stroma across multiple stages of life. Mesenchyme, pericytes and endothelial cells are identified as potential key regulators of thymic epithelial cell differentiation and thymocyte migration. In-depth analyses of epithelial cells reveal the presence of ionocytes as a medullary population, while the expression of tissue-specific antigens is mapped to different subsets of epithelial cells. This work thus provides important insight on how the diversity of thymic cells is established, and how this heterogeneity contributes to the induction of immune tolerance in humans.


Subject(s)
Epithelial Cells/metabolism , Gene Expression Profiling/methods , Genetic Heterogeneity , Single-Cell Analysis/methods , Thymus Gland/metabolism , Adult , Animals , Cell Differentiation/genetics , Cell Lineage/genetics , Endothelial Cells/cytology , Endothelial Cells/metabolism , Humans , Mesoderm/cytology , Mesoderm/metabolism , Mice , Pericytes/cytology , Pericytes/metabolism , T-Lymphocytes/cytology , T-Lymphocytes/metabolism , Thymocytes/cytology , Thymocytes/metabolism , Thymus Gland/cytology , Thymus Gland/embryology
7.
Front Immunol ; 10: 1692, 2019.
Article in English | MEDLINE | ID: mdl-31396217

ABSTRACT

Natural killer (NK) cells play an important role in the innate immune response. The summation of activation and inhibitory signals delivered through cell surface membrane receptors determines NK cell function. However, the continuous engagement of an activating receptor on NK cells appears to render the cells hyporesponsive to stimulation through other unrelated activating receptors. The mechanism by which this takes place remains unclear. Herein we demonstrate that continuous in vivo engagement of the Ly49H receptor with its ligand, m157, results in Ly49H+ NK cells that are hyporesponsive to further stimulation by other ITAM-dependent and independent receptors, while Ly49H- NK cells remain unaffected. The hyporesponsiveness of the NK cell correlates with the degree of Ly49H receptor downmodulation on its cell surface. We observe defects in calcium flux in the hyporesponsive NK cells following stimulation through the NK1.1 receptor. In addition, we observe differences in signaling molecules that play a role in calcium flux, including spleen tyrosine kinase (Syk) at baseline and phosphorylated phospholipase C gamma 2 (p-PLCγ2) at both baseline and following stimulation through NK1.1. We also demonstrate that various ITAM associated activation receptors, including Ly49H, remain associated with their respective adaptor molecules. With regard to in vivo NK cell function, we did not find differences in the formation of metastatic lung lesions following IV injection of B16 melanoma cells. However, we did observe defects in rejection of missing-self targets in vivo. The data suggest that continuous engagement of the Ly49H activating receptor on NK cells results in hyporesponsiveness of the NK cells to all of the ITAM-dependent and independent receptors we analyzed due to altered signaling pathways downstream of the receptor and adaptor molecule.


Subject(s)
Immune Tolerance/immunology , Killer Cells, Natural/immunology , Lymphocyte Activation/immunology , NK Cell Lectin-Like Receptor Subfamily A/immunology , Signal Transduction/immunology , Animals , Mice , Mice, Transgenic
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