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      Pleiotropic Effects of Immune Responses Explain Variation in the Prevalence of Fibroproliferative Diseases

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          Abstract

          Many diseases are differentially distributed among human populations. Differential selection on genetic variants in ancestral environments that coincidentally predispose to disease can be an underlying cause of these unequal prevalence patterns. Selected genes may be pleiotropic, affecting multiple phenotypes and resulting in more than one disease or trait. Patterns of pleiotropy may be helpful in understanding the underlying causes of an array of conditions in a population. For example, several fibroproliferative diseases are more prevalent and severe in populations of sub-Saharan ancestry. We propose that this disparity is due to selection for an enhanced Th2 response that confers resistance to helminthic infections, and concurrently increases susceptibility to fibrosis due to the profibrotic action of Th2 cytokines. Many studies on selection of Th2-related genes for host resistance to helminths have been reported, but the pleiotropic impact of this selection on the distribution of fibrotic disorders has not been explicitly investigated. We discuss the disproportionate occurrence of fibroproliferative diseases in individuals of African ancestry and provide evidence that adaptation of the immune system has shaped the genetic structure of these human populations in ways that alter the distribution of multiple fibroproliferative diseases.

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          Most cited references172

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          Two types of murine helper T cell clone. I. Definition according to profiles of lymphokine activities and secreted proteins.

          A panel of antigen-specific mouse helper T cell clones was characterized according to patterns of lymphokine activity production, and two types of T cell were distinguished. Type 1 T helper cells (TH1) produced IL 2, interferon-gamma, GM-CSF, and IL 3 in response to antigen + presenting cells or to Con A, whereas type 2 helper T cells (TH2) produced IL 3, BSF1, and two other activities unique to the TH2 subset, a mast cell growth factor distinct from IL 3 and a T cell growth factor distinct from IL 2. Clones representing each type of T cell were characterized, and the pattern of lymphokine activities was consistent within each set. The secreted proteins induced by Con A were analyzed by biosynthetic labeling and SDS gel electrophoresis, and significant differences were seen between the two groups of T cell line. Both types of T cell grew in response to alternating cycles of antigen stimulation, followed by growth in IL 2-containing medium. Examples of both types of T cell were also specific for or restricted by the I region of the MHC, and the surface marker phenotype of the majority of both types was Ly-1+, Lyt-2-, L3T4+, Both types of helper T cell could provide help for B cells, but the nature of the help differed. TH1 cells were found among examples of T cell clones specific for chicken RBC and mouse alloantigens. TH2 cells were found among clones specific for mouse alloantigens, fowl gamma-globulin, and KLH. The relationship between these two types of T cells and previously described subsets of T helper cells is discussed.
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            Transforming growth factor beta in tissue fibrosis.

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              Fibrotic disease and the T(H)1/T(H)2 paradigm.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                5 November 2015
                November 2015
                : 11
                : 11
                : e1005568
                Affiliations
                [1 ]Vanderbilt Genetics Institute, Division of Dermatology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America
                [2 ]Meharry Medical College, Nashville, Tennessee, United States of America
                [3 ]Department of Genetics, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, United States of America
                University of Connecticut Health Center, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                [¤a]

                Current address: Retired, Lewisburg, Tennessee, United States of America

                [¤b]

                Current address: Retired, Marshfield, Vermont, United States of America

                [¤c]

                Current address: Departments of Epidemiology and Biostatistics, and Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America

                Article
                PGENETICS-D-15-01023
                10.1371/journal.pgen.1005568
                4634921
                26540410
                05f0a385-8ad2-4087-a912-5ba06e8f6134
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                Page count
                Figures: 2, Tables: 3, Pages: 23
                Funding
                This work was supported by NIH grants F33AR052241 (SBR), P30AR041943 (SMW), R01LM010098 (SMW), P20GM103534 (SMW), a DOE Graduate Assistantship in Areas of National Need (JCS), by the resources of Vanderbilt University School of Medicine, and by the Geisel School of Medicine, Dartmouth College. The funders had no role in the preparation of the manuscript.
                Categories
                Review

                Genetics
                Genetics

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