Transcriptional changes underlying progression from islet autoantibody positivity to type 1 diabetes
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE185190 | GEO | 2022/03/09
REPOSITORIES: GEO
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Project description:Type 1 diabetes (T1D) usually has a preclinical phase identified by the presence of circulating autoantibodies to pancreatic islet antigens, and most young children who have multiple autoantibodies progress to diabetes within 10 years. While autoantibodies denote underlying islet autoimmunity, how this process is initiated and then progresses to clinical diabetes on a background of genetic susceptibility is not clearly understood. Only one study has thus far reported changes in gene expression in isolated immune cells associated with progression to islet autoimmunity. We analysed chromatin accessibility by ATAC-seq in CD4+ T cells in four genetically at-risk children with islet autoantibodies who progressed to diabetes in ≤ 3 years (‘progressors’), compared to five at-risk children matched for sex, age and HLA who had not progressed (‘non-progressors). From ATAC-seq data, we generated the first map of chromatin accessibility in T cells of islet autoantibody-positive children. Progression was associated with a subtle reconfiguration of regulatory chromatin regions, and some of the chromatin conformation changes could be linked to progression associated expression changes at cytotoxic genes.
2022-03-09 | GSE185189 | GEO
Project description:<h4><strong>AIMS/HYPOTHESIS: </strong>Metabolic dysregulation may precede the onset of type 1 diabetes. However, these metabolic disturbances and their specific role in disease initiation remain poorly understood. In this study, we examined whether children who progress to type 1 diabetes have a circulatory polar metabolite profile distinct from that of children who later progress to islet autoimmunity but not type 1 diabetes and a matched control group.</h4><h4><strong>METHODS: </strong>We analysed polar metabolites from 415 longitudinal plasma samples in a prospective cohort of children in three study groups: those who progressed to type 1 diabetes; those who seroconverted to one islet autoantibody but not to type 1 diabetes; and an antibody-negative control group. Metabolites were measured using two-dimensional GC high-speed time of flight MS.</h4><h4><strong>RESULTS: </strong>In early infancy, progression to type 1 diabetes was associated with downregulated amino acids, sugar derivatives and fatty acids, including catabolites of microbial origin, compared with the control group. Methionine remained persistently upregulated in those progressing to type 1 diabetes compared with the control group and those who seroconverted to one islet autoantibody. The appearance of islet autoantibodies was associated with decreased glutamic and aspartic acids.</h4><h4><strong>CONCLUSIONS/INTERPRETATION: </strong>Our findings suggest that children who progress to type 1 diabetes have a unique metabolic profile, which is, however, altered with the appearance of islet autoantibodies. Our findings may assist with early prediction of the disease.</h4>
2022-01-19 | MTBLS802 | MetaboLights
Project description:Aims/hypothesis: Biomarkers are needed to accurately predict and monitor type 1 diabetes progression during the substantially heterogeneous presymptomatic period of the disease development. To address this concern, we studied temporal changes in the plasma and serum proteomes of < 5-year-old children with HLA-conferred risk for type 1 diabetes, by analysing longitudinal sample series that were collected at regular intervals between birth and diagnosis.
Methods: Using mass spectrometry-based discovery proteomics, longitudinal sample series from children positive for multiple autoantibodies who had rapidly progressed to type 1 diabetes before 4 years of age (n=10) were analysed and compared with similar measurements from children, matched from age and gender who were either positive for single autoantibody (n=10) or autoantibody negative (n=10). Following analysis of the data with an additive Gaussian process regression model (LonGP), targeted proteomics was used to verify 11 biomarker candidates in a similar yet independent cohort of children who progressed to the disease within 5 years of age (n=31) and matched autoantibody negative children (n=31).
Results: These data reiterated extensive age related trends for protein levels in young children. Further, by combining the utility of LonGP together with the targeted analysis in an extended cohort with more frequent sampling points, these analysis demonstrated that the serum levels of two peptides unique for apolipoprotein C1 (APOC1) were decreased after the appearance of the first islet autoantibody and remained relatively less abundant in children who later progressed to type 1 diabetes, in comparison to autoantibody negative children.
Conclusions/interpretation: Through the comparative analysis of prospectively collected samples, our data indicate that the serum/plasma levels of APOC1 are decreased in islet autoantibody positive children who develop type 1 diabetes at a young age. In future studies, APOC1 could be used as an additional measurement to improve early prediction of type 1 diabetes and selection of subjects for intervention studies.
2023-10-02 | PXD033946 | panorama
Project description:Type 1 diabetes (T1D) is an autoimmune disease caused by selective destruction of insulin producing pancreatic beta-cells in the islets of the Langerhans. The progression to clinical diabetes is characterized by the appearance of autoantibodies against islet cells (ICA) and beta-cell-specific antigens (IAA, IA-2 and GADA), which are considered the first markers signifying onset of autoimmunity. The mechanisms initiating or enhancing the autoimmune process remain poorly understood. Transcriptomic profiling on whole blood samples provides an approach for monitoring T1D disease process. In these investigations of pathways that are changed during the disease process, we have analyzed RNA from longitudinal peripheral blood samples of children who have developed T1D associated autoantibodies and eventually clinical type 1 diabetes . All study subjects were participants of the Type 1 Diabetes Prediction and Prevention (DIPP) study in Finland (38). Whole-blood RNA samples were collected during periodic clinic visits, typically at 3 to 12 month intervals. 2.5 ml venous blood was drawn into PAXgene Blood RNA tubes (Becton-Dickinson) and stored at -70°C. T1D-associated autoantibodies were measured from blood samples taken at each visit. Prospective samples from 3 children who developed T1D (subjects T1D_1 - T1D_3) and 2 children who developed ICA (subjects ICA_1 and ICA_2) during the DIPP follow-up were selected to the present study. Control children for the T1D cases (subjects T1D_C1 - T1D_C2) were matched for age, gender, birth place and HLA-genotype, from families who have no first-degree relatives with T1D. All samples (n=60) were processed and hybridized on Affymetrix Human Genome U133 Plus 2.0 arrays.
2010-03-31 | E-TABM-666 | biostudies-arrayexpress
Project description:Type 1 diabetes (T1D) is one of the most prevalent autoimmune diseases among children in Western countries. Earlier metabolomics studies suggest that T1D is preceded by dysregulation of lipid metabolism. Here we used a lipidomics approach to analyze molecular lipids in a prospective series of 428 plasma samples from 40 children who progressed to T1D (PT1D), 40 children who developed at least a single islet autoantibody but did not progress to T1D during the follow-up (P1Ab) and 40 matched controls (CTR). Sphingomyelins were found to be persistently downregulated in PT1D when compared to the P1Ab and CTR groups. Triacylglycerols and phosphatidylcholines were mainly downregulated in PT1D as compared to P1Ab at the age of 3 months. Our study suggests that children who progressed to islet autoimmunity or overt T1D are characterized by distinct lipidomic signatures, which may be helpful in the identification of at-risk children before the initiation of autoimmunity.
2018-07-16 | MTBLS620 | MetaboLights
Project description:Biomarkers are needed to accurately predict and monitor type 1 diabetes progression during the substantially heterogeneous presymptomatic period of the disease development. To address this concern, we studied temporal changes in the plasma and serum proteomes of < 5-year-old children with HLA-conferred risk for type 1 diabetes by analysing longitudinal sample series that were collected at regular intervals between birth and diagnosis. Using mass spectrometry-based discovery proteomics, longitudinal plasma sample series from multiple autoantibody positive children who had rapidly progressed to type 1 diabetes before 4 years of age were analysed and compared with similar measurements from age and gender matched children who were either single autoantibody positive or autoantibody negative. Following analysis of the data with an additive Gaussian process regression model (LonGP), targeted proteomics was used to verify 11 biomarker candidates in a larger independent yet similar cohort of children with more frequent sampling points. The data reiterated extensive age related trends for protein levels in young children. Further, by combining the utility of LonGP together with the targeted analysis in an extended cohort, these analyses demonstrated that the serum levels of two peptides unique for apolipoprotein C1 (APOC1) were decreased after the appearance of the first autoantibody and remained relatively less abundant in children who progressed to type 1 diabetes in comparison to autoantibody negative children.
2023-09-26 | PXD033744 | Pride
Project description:Longitudinal changes in gene expression during islet autoimmunity (IA) may provide insight into biological processes that explain progression to type 1 diabetes (T1D). We identified individuals from Diabetes Autoimmunity Study in the Young (DAISY) who developed IA, autoantibodies present on two or more visits. Illumina's NovaSeq 6000 was used to quantify gene expression in whole blood. With linear mixed models we tested for changes in expression after IA that differed across individuals who progressed to T1D (progressors) (n = 25), reverted to an autoantibody-negative stage (reverters) (n = 47), or maintained IA positivity but did not develop T1D (maintainers) (n = 66). Weighted gene coexpression network analysis was used to identify coexpression modules. Gene Ontology pathway analysis of the top 150 differentially expressed genes (nominal P < 0.01) identified significantly enriched pathways including leukocyte activation involved in immune response, innate immune response, and regulation of immune response. We identified a module of 14 coexpressed genes with roles in the innate immunity. The hub gene, LTF, is known to have immunomodulatory properties. Another gene within the module, CAMP, is potentially relevant based on its role in promoting β-cell survival in a murine model. Overall, results provide evidence of alterations in expression of innate immune genes prior to onset of T1D.
2023-05-01 | GSE230370 | GEO
Project description:Single-cell RNA sequencing was carried out on four selected PBMC samples of Finnish children at risk of developing Type 1 diabetes and their gender age and HLA matched control children using 10X genomic platform. All four Case children were positive for multiple islet specific autoantibodies and two of them also progressed to clinical disease during the follow up whereas the control children remain negative for all autoantibodies. Age at seroconversion for Case 2, 3, 5, and 9 children is 12, 18, 24, and 18 months, respectively. Age at sampling, in months, for the pairs was as follows (Case/Control): pair 2:24/24; pair 3: 12/18; pair 5: 12/12; pair 9:24/18.
| EGAS00001004070 | EGA
Project description:<p><strong>OBJECTIVES</strong>: Celiac disease (CD) is a chronic enteropathy characterized by an autoimmune reaction in the small intestine of genetically susceptible individuals. The underlying causes of autoimmune reaction and its effect on host metabolism remain largely unknown. Herein, we apply lipidomics to elucidate the early events preceding clinical CD in a cohort of Finnish children, followed up in the Type 1 Diabetes Prediction and Prevention study.</p><p><strong>METHODS:</strong> Mass spectrometry-based lipidomics profiling was applied to a longitudinal/prospective series of 233 plasma samples obtained from CD progressors (n = 23) and healthy controls (n = 23), matched for human leukocyte antigen (HLA) risk, sex, and age. The children were followed from birth until diagnosis of clinical CD and subsequent introduction of a gluten-free diet.</p><p><strong>RESULTS:</strong> Twenty-three children progressed to CD at a mean age of 4.8 years. They showed increased amounts of triacylglycerols (TGs) of low carbon number and double bond count and a decreased level of phosphatidylcholines by age 3 months as compared to controls. These differences were exacerbated with age but were not observed at birth (cord blood). No significant differences were observed in the essential TGs.</p><p><strong>DISCUSSION:</strong> Our preliminary findings suggest that abnormal lipid metabolism associates with the development of clinical CD and occurs already before the first introduction of gluten to the diet. Moreover, our data suggest that the specific TGs found elevated in CD progressors may be due to a host response to compromised intake of essential lipids in the small intestine, requiring de novo lipogenesis.</p>
2020-01-22 | MTBLS729 | MetaboLights
Project description:To unravel genes and molecular pathways involved in the pathogenesis of type 1 diabetes (T1D), we performed genome-wide gene expression profiling of prospective venous blood samples from children developing T1D-associated autoantibodies or progressing towards clinical diagnosis. 247 peripheral blood RNA samples from 18 prediabetic children and their matched controls were analyzed with Illumina Human HT-12 Expression BeadChips version 3 arrays, in order to study the gene expression changes occuring during the pathogenesis of Type 1 diabetes (T1D). Each case child (with T1D-specific autoantibodies) was matched with a persistently autoantibody-negative control child, with the same HLA-DQB1 risk category, gender, and place and date of birth. Two control children were selected for T1D cases 3, 5, 13 and 17. Seroconversion is determined as the first detection of T1D-specific autoantibody/autoantibodies (ICA titre >4 JDFU, IAA >3.47 RU, GADA >5.4 RU, IA-2A >0.43 RU, ZnT8A >0.61 RU).
2014-02-20 | E-GEOD-30210 | biostudies-arrayexpress