Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Peripheral Blood Monocyte Gene Expression in Recent-Onset Type 1 Diabetes

ABSTRACT: OBJECTIVE: Novel biomarkers of disease progression after type 1 diabetes onset are needed. RESEARCH DESIGN AND METHODS: We profiled peripheral blood (PB) monocyte gene expression in 6 healthy subjects and 16 children with type 1 diabetes diagnosed ~3 months previously, and analyzed clinical features from diagnosis to 1 year. RESULTS: Monocyte expression profiles clustered into two distinct subgroups, representing mild and severe deviation from healthy controls, along the same continuum. Patients with strongly divergent monocyte gene expression had significantly higher insulin dose-adjusted HbA1c levels during the first year, compared to patients with mild deviation. The diabetes-associated expression signature identified multiple perturbations in pathways controlling cellular metabolism and survival, including endoplasmic reticulum and oxidative stress (e.g. induction of HIF1A, DDIT3, DDIT4 and GRP78). qPCR quantitation of a 9-gene panel correlated with glycaemic control in 12 additional recent-onset patients. The qPCR signature was also detected in PB from healthy first-degree relatives. CONCLUSIONS: A PB gene expression signature correlates with glycaemic control in the first year after diabetes diagnosis, and is present in at-risk subjects. These findings implicate monocyte phenotype as a candidate biomarker for disease progression pre- and post-onset, and systemic stresses as contributors to innate immune function in type 1 diabetes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE33440 | GEO | 2012/06/01

SECONDARY ACCESSION(S): PRJNA148693

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Peripheral Blood Monocyte Gene Expression in Recent-Onset Type 1 Diabetes

Project description:OBJECTIVE: Novel biomarkers of disease progression after type 1 diabetes onset are needed. RESEARCH DESIGN AND METHODS: We profiled peripheral blood (PB) monocyte gene expression in 6 healthy subjects and 16 children with type 1 diabetes diagnosed ~3 months previously, and analyzed clinical features from diagnosis to 1 year. RESULTS: Monocyte expression profiles clustered into two distinct subgroups, representing mild and severe deviation from healthy controls, along the same continuum. Patients with strongly divergent monocyte gene expression had significantly higher insulin dose-adjusted HbA1c levels during the first year, compared to patients with mild deviation. The diabetes-associated expression signature identified multiple perturbations in pathways controlling cellular metabolism and survival, including endoplasmic reticulum and oxidative stress (e.g. induction of HIF1A, DDIT3, DDIT4 and GRP78). qPCR quantitation of a 9-gene panel correlated with glycaemic control in 12 additional recent-onset patients. The qPCR signature was also detected in PB from healthy first-degree relatives. CONCLUSIONS: A PB gene expression signature correlates with glycaemic control in the first year after diabetes diagnosis, and is present in at-risk subjects. These findings implicate monocyte phenotype as a candidate biomarker for disease progression pre- and post-onset, and systemic stresses as contributors to innate immune function in type 1 diabetes. CD14+ monocytes from a total of 16 children with recent-onset type 1 diabetes and 6 adult healthy controls were profiled in 2 independent microarrays.

2012-05-31 | E-GEOD-33440 | biostudies-arrayexpress

Urinary proteomics in youths with and without type 1 diabetes

Project description:Diabetic kidney disease is the leading cause of end-stage renal disease worldwide. Our understanding of the early kidney response to chronic hyperglycemia remains incomplete. In this study, we aimed to uncover the early, dysregulated pathways in the diabetic kidney before the onset of microalbuminuria by analysing the urinary proteomes of otherwise healthy youths with and without type 1 diabetes. Our study population included two cohorts for the discovery (N = 30) and validation (N = 30) of differentially excreted proteins. Of the 2451 proteins identified, 576 were quantified in all samples from the discovery cohort, and 34 comprised the urinary signature for early type 1 diabetes after Benjamini-Hochberg adjustment (Q < 0.05). The top pathways associated with this signature included lysosome, glycosaminoglycan degradation, and innate immune system (Q < 0.01). Notably, all enzymes involved in keratan sulfate degradation were significantly elevated in urines from youths with type 1 diabetes (fold change > 1.6). Increased urinary excretion of monocyte differentiation antigen CD14, hexosaminidase A, and lumican was also observed in the validation cohort (P < 0.05). Our findings draw attention to novel pathways such as keratan sulfate degradation in the early kidney response to hyperglycemia.

2020-06-01 | PXD017213 | Pride

Effects of diets high in animal or plant protein on oxidative stress in individuals with type 2 diabetes: a randomized clinical trial

Project description:High-protein diet is a promising strategy for diabetes treatment supporting body weight control, improving glycaemic status, cardiovascular risk factors and reducing liver fat. In this work, we investigated effects of diets high in animal (AP) or plant (PP) protein on oxidative stress and antioxidant status in individuals with type 2 diabetes (T2DM).

2019-12-14 | E-MTAB-8549 | biostudies-arrayexpress

Monocytes in Type 1 diabetes families exhibit high cytolytic activity and subset abundances that correlate with clinical progression

Project description:Monocytes are immune regulators implicated in the pathogenesis of Type 1 diabetes (T1D), an autoimmune disease that targets the insulin-producing pancreatic β-cell. We determined that monocytes of recent onset (RO) T1D patients and their healthy siblings express proinflammatory/cytolytic transcriptomes and hyper-secrete cytokines in response to lipopolysaccharide exposure compared to unrelated healthy controls (uHC). Flow cytometry measured elevated circulating abundances of intermediate monocytes and >2-fold more CD14+CD16+HLADR+KLRD1+PRF1+ NK-like monocytes among ROT1D patients compared to uHC. The intermediate to nonclassical monocyte ratio among ROT1D patients correlated with the decline in functional β-cell mass during the first 24 months post-onset. Among sibling non-progressors, flow cytometry measured temporal decreases in the intermediate to nonclassical monocyte ratio and NK-like monocyte abundances; these changes coincided with increases in peripheral activated regulatory T-cells. In contrast, these monocyte populations exhibited stability among T1D progressors. This study associates heightened monocyte proinflammatory/cytolytic activity with T1D susceptibility and progression and offers insight to the age-dependent decline in T1D susceptibility.

2024-01-01 | GSE239501 | GEO

Monocytes in Type 1 diabetes families exhibit high cytolytic activity and subset abundances that correlate with clinical progression

2024-01-01 | GSE232310 | GEO

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [T1D_114]

Project description:The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we analyzed larger RO T1D and HC cohorts. In addition, we examined T1D progression by looking at longitudinal, pre-onset and longstanding T1D samples. UPN727 cells were stimulated with autologous plasma (n=7), unrelated healthy control plasma (n=44), recent onset T1D plasma (n=46), longstanding T1D plasma (n=11), or longitudinal series plasma (n=6 time points) from pre/post onset. Gene expression analysis was performed in order to evaluate the transcriptional signature associated with T1D.

2012-09-01 | E-GEOD-35725 | biostudies-arrayexpress

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [Pneu_S3S24_10Pneu_4HC]

Project description:The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we compared the signature found between unrelated healthy controls and patients with bacterial pneumonia. UPN727 cells were stimulated with either plasma from unrelated healthy controls (n=18) or plasma from patients with bacterial pneumonia (n=10). Gene expression analysis was perfromed in order to evaluate the transcriptional signature associated with bacterial pneumonia.

2012-09-01 | E-GEOD-35716 | biostudies-arrayexpress

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [Pneu_S3S24_10Pneu_4HC]

2012-09-01 | GSE35716 | GEO

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [H1N1_S5_5Pre_5D0]

Project description:The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we compared the signature found in pre H1N1 samples to the signature associated with active H1N1 flu. UPN727 cells were stimulated with plasma that was collected pre-H1N1 (healthy) or during active-H1N1 from 5 different individuals. Gene expression analysis was perfromed in order to evaluate the transcriptional signature associated with the H1N1 influenza virus.

2012-09-01 | E-GEOD-35712 | biostudies-arrayexpress

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [CF_S1S3_5Auto_20CF_10HC]

Project description:The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we compared the signature found between unrelated healthy controls and non-diabetic cystic fibrosis patients possessing Pseudomonas aeruginosa pulmonary tract infection. UPN727 cells were stimulated with autologous plasma (n=5), unrelated healthy control plasma (n=24), or plasma from patients with cystic fibrosis possessing Psuedomonas aeruginosa pulmonary tract infection (n=20). Gene expression analysis was perfromed in order to evaluate the transcriptional signature associated with cystic fibrosis.

2012-09-01 | E-GEOD-35711 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data