University of Colorado Anschutz Medical Campus
ORCID: 0000-0001-8674-2598Publishes on Diabetes and associated disorders, Pancreatic function and diabetes, Diabetes Management and Research. 474 papers and 25.9k citations.
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OBJECTIVE: Few studies have assessed the role of specific gastrointestinal infections in celiac disease. We investigated whether increased frequency of rotavirus infection, a common cause of gastrointestinal infection and inflammation, predicts increased risk of celiac disease autoimmunity. METHODS: A cohort of 1,931 children from the Denver metropolitan area who carried celiac disease human leukocyte antigen (HLA) risk alleles were followed from infancy for development of celiac disease autoimmunity, defined as positivity at two or more subsequent clinic visits for tissue transglutaminase (tTG) autoantibodies measured using a radioimmunoassay with human recombinant tTG. Blood samples were obtained at ages 9, 15, and 24 months, and annually thereafter. Rotavirus antibodies were assayed using an indirect enzyme immunoassay in serial serum samples from each case and two matched controls. Frequency of infections were estimated by the number of increases (> 2 assay coefficient of variation) in rotavirus antibody between clinic visits. RESULTS: Fifty-four cases developed celiac disease autoimmunity at a median age of 4.4 yr. Thirty-six had an intestinal biopsy, of which 27 (75%) were positive for celiac disease. Frequent rotavirus infections predicted a higher risk of celiac disease autoimmunity (compared with zero infections, rate ratio 1.94, 95% confidence interval [CI] 0.39-9.56, for one infection and rate ratio 3.76, 95% CI 0.76-18.7, for > or = 2 infections, rate ratio for trend per increase in number of infections = 1.94, 95% CI 1.04-3.61, p = 0.037). The result was similar after adjustment for gender, ethnic group, maternal education, breast-feeding, day-care attendance, number of siblings, season of birth, and number of HLA DR3-DQ2 haplotypes. CONCLUSIONS: This prospective study provides the first indication that a high frequency of rotavirus infections may increase the risk of celiac disease autoimmunity in childhood in genetically predisposed individuals.
CONTEXT: Dietary exposures in infancy have been implicated, albeit inconsistently, in the etiology of type 1 diabetes mellitus (DM). OBJECTIVE: To examine the association between cereal exposures in the infant diet and appearance of islet autoimmunity (IA). DESIGN: Birth cohort study conducted from 1994 to 2002 with a mean follow-up of 4 years. SETTING: Newborn screening for HLA was done at St Joseph's Hospital in Denver, Colo. First-degree relatives of type 1 DM individuals were recruited from the Denver metropolitan area. PARTICIPANTS: We enrolled 1183 children at increased type 1 DM risk, defined as either HLA genotype or having a first-degree relative with type 1 DM, at birth and followed them prospectively. We obtained exposure and outcome measures for 76% of enrolled children. Participants had variable lengths of follow-up (9 months to 9 years). MAIN OUTCOME MEASURES: Blood draws for the detection of insulin autoantibody, glutamic acid decarboxylase autoantibody, or IA-2 autoantibody were performed at 9, 15, and 24 months and annually thereafter. Children with IA (n = 34) were defined as those testing positive for at least 1 of the autoantibodies on 2 or more consecutive visits and who tested positive or had diabetes on their most recent visit. RESULTS: Children initially exposed to cereals between ages 0 and 3 months (hazard ratio [HR], 4.32; 95% confidence interval [CI], 2.0-9.35) and those who were exposed at 7 months or older (HR, 5.36; 95% CI, 2.08-13.8) had increased hazard of IA compared with those who were exposed during the fourth through sixth month, after adjustment for HLA genotype, family history of type 1 DM, ethnicity, and maternal age. In children who were positive for the HLA-DRB1*03/04,DQB8 genotype, adjusted HRs were 5.55 (95% CI, 1.92-16.03) and 12.53 (95% CI, 3.19-49.23) for initial cereal exposure between ages 0 to 3 months and at 7 months or older, respectively. CONCLUSION: There may be a window of exposure to cereals in infancy outside which initial exposure increases IA risk in susceptible children.
Rheumatoid arthritis (RA) is a prototypical autoimmune arthritis affecting nearly 1% of the world population and is a significant cause of worldwide disability. Though prior studies have demonstrated the appearance of RA-related autoantibodies years before the onset of clinical RA, the pattern of immunologic events preceding the development of RA remains unclear. To characterize the evolution of the autoantibody response in the preclinical phase of RA, we used a novel multiplex autoantigen array to evaluate development of the anti-citrullinated protein antibodies (ACPA) and to determine if epitope spread correlates with rise in serum cytokines and imminent onset of clinical RA. To do so, we utilized a cohort of 81 patients with clinical RA for whom stored serum was available from 1-12 years prior to disease onset. We evaluated the accumulation of ACPA subtypes over time and correlated this accumulation with elevations in serum cytokines. We then used logistic regression to identify a profile of biomarkers which predicts the imminent onset of clinical RA (defined as within 2 years of testing). We observed a time-dependent expansion of ACPA specificity with the number of ACPA subtypes. At the earliest timepoints, we found autoantibodies targeting several innate immune ligands including citrullinated histones, fibrinogen, and biglycan, thus providing insights into the earliest autoantigen targets and potential mechanisms underlying the onset and development of autoimmunity in RA. Additionally, expansion of the ACPA response strongly predicted elevations in many inflammatory cytokines including TNF-α, IL-6, IL-12p70, and IFN-γ. Thus, we observe that the preclinical phase of RA is characterized by an accumulation of multiple autoantibody specificities reflecting the process of epitope spread. Epitope expansion is closely correlated with the appearance of preclinical inflammation, and we identify a biomarker profile including autoantibodies and cytokines which predicts the imminent onset of clinical arthritis.