Type 1 diabetes children feces
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA668831 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12816300_1.fastq.gz | Fastqsanger.gz | |||
| SRR12816300_2.fastq.gz | Fastqsanger.gz | |||
| SRR12816301_1.fastq.gz | Fastqsanger.gz | |||
| SRR12816301_2.fastq.gz | Fastqsanger.gz | |||
| SRR12816302_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
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: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.
2014-02-20 | GSE30210 | GEO
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
Project description:Fifty-six children and adolescents with type 1 diabetes at least one year after diagnosis, aged 6-17 years old and fifty-six healthy age- and sex-matched subjects were enrolled in this cross-sectional study. Tear samples were collected using Schirmer strips placed on the lower eyelid. The proteomic analysis was based on a detergent-assisted protein extraction and their digestion from the tears, analysis of the tryptic peptides with LC-MS/ enabling the identification, and quantification of the Shirmer strip protein content via DIA-NN, and subsequently the statistical and bioinformatic analysis using the R and Metascape enrichment analysis tool.
2024-10-17 | PXD052994 | Pride
Project description:Partial remission (PR) occurs in only half of patients with new-onset type 1 diabetes (T1D) and correspond to a transient period characterized by low daily insulin needs, low glycemic fluctuations and increased endogenous insulin secretion. While identification of newly-onset T1D patients with significant residual beta-cell function may foster patient-specific interventions, reliable predictive biomarkers of PR occurrence currently lack. We analyzed the plasma of children with new-onset T1D to identify biomarkers present at diagnosis that predicted PR at 3 months post-diagnosis. We first performed an extensive shotgun proteomic analysis using Liquid Chromatography-Tandem-Mass-Spectrometry (LCMS/MS) on the plasma of 16 children with new-onset T1D and quantified nearly 1500 unique proteins with 98 significantly correlating with Insulin-Dose Adjusted glycated hemoglobin A1c score (IDAA1C). We next applied a series of both qualitative and statistical filters that yielded to the selection of 26 protein candidates that were associated to pathophysiological mechanisms related to T1D. Finally, we translationally validated several of the candidates using single-shot targeted proteomic (PRM method) on raw plasma. Taken together, we identified plasmatic biomarkers present at diagnosis that may predict the occurrence of PR in a single mass-spectrometry run. We believe that the identification of new predictive biomarkers of PR and β-cell function is key to stratify patients with new-onset T1D for β-cell preservation therapies
2024-04-05 | PXD049795 | Pride
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.
| PXD033946 | panorama
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.
2014-02-20 | GSE43488 | GEO
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. 357 peripheral blood RNA samples from 10 autoantibody-positive children (Case) and their matched controls (Control) or alternatively 18 prediabetic children (T1DCase) and their matched controls (T1DControl) were analyzed with Affymetrix U219 gene array, in order to study the gene expression changes occuring during the pathogenesis of Type 1 diabetes (T1D). Each case child (positive for 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. 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). Two control children were selected for T1D cases 3, 5, 13 and 17. Case5 & T1DCase15 and Case7 & T1DCase3 share the same matched control. Sample T1DControl7_4 was excluded from the final analysis as an outlier, resulting in 356 total Samples listed below.
2014-02-20 | E-GEOD-43488 | biostudies-arrayexpress
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. We analysed gene expression by RNA-seq in four types of immune cells from five genetically at-risk children with islet autoantibodies who progressed to diabetes in ≤ 3 years (‘progressors’) and in five at-risk children matched for sex, age and HLA who had not progressed to diabetes (‘non-progressors’).
2022-03-09 | GSE185190 | 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