Expert panel workshop consensus statement on the role of the environment in the development of autoimmune disease.

Autoimmune diseases include 80 or more complex disorders characterized by self-reactive, pathologic immune responses in which genetic susceptibility is largely insufficient to determine disease onset. In September 2010, the National Institute of Environmental Health Sciences (NIEHS) organized an expert panel workshop to evaluate the role of environmental factors in autoimmune diseases, and the state of the science regarding relevant mechanisms, animal models, and human studies. The objective of the workshop was to analyze the existing data to identify conclusions that could be drawn regarding environmental exposures and autoimmunity and to identify critical knowledge gaps and areas of uncertainty for future study. This consensus document summarizes key findings from published workshop monographs on areas in which "confident" and "likely" assessments were made, with recommendations for further research. Transcribed notes and slides were reviewed to synthesize an overview on exposure assessment and questions addressed by interdisciplinary panels. Critical advances in the field of autoimmune disease research have been made in the past decade. Collaborative translational and interdisciplinary research is needed to elucidate the role of environmental factors in autoimmune diseases. A focus on exposure assessment methodology is needed to improve the effectiveness of human studies, and more experimental studies are needed to focus on causal mechanisms underlying observed associations of environmental factors with autoimmune disease in humans.

Heritability versus the role of the environment in autoimmunity.

The higher concordant occurrence of autoimmune diseases in monozygotic twins compared to dizygotic or sibling pairs supports the role for genetic susceptibility. For most conditions, however, concordance rates are considerably below 100% and lead to the estimate of the weight of genetics coined "heritability". In the group of autoimmune diseases heritability ranges between 0.008 and 1 with median values of approximately 0.60. A complementary term coined "environmentability" represents the environmental influence on individual phenotype, and can include dietary habits, chemicals, or hygienic conditions. Genome-wide association data in complex diseases confirmed a role for the environment in disease etiology as significantly associated polymorphisms were found only in subgroups of patients and controls. Environmental links to autoimmunity range from anecdotal associations or case series to largely investigated experimental and epidemiological studies. A bibliographic analysis reveals that the number of publications dedicated to environmental factors in autoimmunity has grown on average by 7% every year since 1997. The National Institute of Environmental Health Sciences (NIEHS) convened an expert panel workshop to review the body of literature examining the role of the environment in the development of autoimmune disease and to identify conclusions, confidences, and critical knowledge gaps in this area. The results of the workshop discussion are summarized in the articles found in this issue of the Journal of Autoimmunity.

Criteria for environmentally associated autoimmune diseases.

Increasing evidence supports a role for the environment in the development of autoimmune diseases, as reviewed in the accompanying three papers from the National Institute of Environmental Health Sciences Expert Panel Workshop. An important unresolved issue, however, is the development of criteria for identifying autoimmune disease phenotypes for which the environment plays a causative role, herein referred to as environmentally associated autoimmune diseases. There are several different areas in which such criteria need to be developed, including: 1) identifying the necessary and sufficient data to define environmental risk factors for autoimmune diseases meeting current classification criteria; 2) establishing the existence of and criteria for new environmentally associated autoimmune disorders that do not meet current disease classification criteria; and 3) identifying in clinical practice specific environmental agents that induce autoimmune disease in individual patients. Here we discuss approaches that could be useful for developing criteria in these three areas, as well as factors that should be considered in evaluating the evidence for criteria that can distinguish individuals with such disorders from individuals without such disorders with high sensitivity and specificity. Current studies suggest that multiple lines of complementary evidence will be important and that in many cases there will be clinical, serologic, genetic, epigenetic, and/or other laboratory features that could be incorporated as criteria for environmentally associated autoimmune diseases to improve diagnosis and treatment and possibly allow for preventative strategies in the future.

Environmental toxicants and the developing immune system: a missing link in the global battle against infectious disease?

There is now compelling evidence that developmental exposure to chemicals from our environment contributes to disease later in life, with animal models supporting this concept in reproductive, metabolic, and neurodegenerative diseases. In contrast, data regarding how developmental exposures impact the susceptibility of the immune system to functional alterations later in life are surprisingly scant. Given that the immune system forms an integrated network that detects and destroys invading pathogens and cancer cells, it provides the body's first line of defense. Thus, the consequences of early life exposures that reduce immune function are profound. This review summarizes available data for pollutants such as cigarette smoke and dioxin-like compounds, which consistently support the idea that developmental exposures critically impact the immune system. These findings suggest that exposure to common chemicals from our daily environment represent overlooked contributors to the fact that infectious diseases remain among the top five causes of death worldwide.

Biological, cellular, and molecular characteristics of an inducible transgenic skin tumor model: a review.

The genetically initiated Tg.AC transgenic mouse carries a transgene consisting of an oncogenic v-Ha-ras coding region flanked 5' by a mouse zeta-globin promoter and 3' by an SV-40 polyadenylation sequence. Located on chromosome 11, the transgene is transcriptionally silent until activated by chemical carcinogens, UV light, or full-thickness wounding. Expression of the transgene is an early event that drives cellular proliferation resulting in clonal expansion and tumor formation, the unique characteristics now associated with the Tg.AC mouse. This ras-dependent phenotype has resulted in the widespread interest and use of the Tg.AC mouse in experimental skin carcinogenesis and as an alternative carcinogenesis assay. This review examines the general biology of the tumorigenic responses observed in Tg.AC mice, the genetic interactions of the ras transgene, and explores the cellular and molecular regulation of zeta-globin promoted transgene expression. As a prototype alternative model to the current long-term rodent bioassays, the Tg.AC has generated a healthy discussion on the future of transgenic bioassays, and opened the doors for subsequent models for toxicity testing. The further exploration and elucidation of the molecular controls of transgene expression will enhance the usefulness of this mouse and enable a better understanding of the Tg.AC's discriminate response to chemical carcinogens.

Standardizing global gene expression analysis between laboratories and across platforms.

To facilitate collaborative research efforts between multi-investigator teams using DNA microarrays, we identified sources of error and data variability between laboratories and across microarray platforms, and methods to accommodate this variability. RNA expression data were generated in seven laboratories, which compared two standard RNA samples using 12 microarray platforms. At least two standard microarray types (one spotted, one commercial) were used by all laboratories. Reproducibility for most platforms within any laboratory was typically good, but reproducibility between platforms and across laboratories was generally poor. Reproducibility between laboratories increased markedly when standardized protocols were implemented for RNA labeling, hybridization, microarray processing, data acquisition and data normalization. Reproducibility was highest when analysis was based on biological themes defined by enriched Gene Ontology (GO) categories. These findings indicate that microarray results can be comparable across multiple laboratories, especially when a common platform and set of procedures are used.