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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE35725 | GEO | 2012/09/01

SECONDARY ACCESSION(S): PRJNA155659

REPOSITORIES: GEO

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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

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Molecular signatures differentiate immune states in Type 1 Diabetes families

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, HC, and healthy T1D sibling cohorts. In addition, we examined T1D progression by looking at longitudinal samples. UPN727 cells were stimulated with Auto-antibody-negative (AA-) High HLA Risk Siblings plasma (n=30), Auto-antibody-negative (AA-) Low HLA Risk Siblings plasma (n=42), Recent onset T1DM plasma cultured with IL1RA (n=42), or longitudinal series plasma on T1DM progressor (n=27 chips, 5 series), on auto-antibody-positive (AA+) High HLA Risk Siblings (n=54 chips, 9 series), on auto-antibody-negative (AA-) High HLA Risk Siblings (n=60 chips, 12 series), on auto-antibody-negative (AA-) Low HLA Risk Siblings (n=31 chips, 6 series). Gene expression analysis was perfromed in order to evaluate the transcriptional signature associated with T1D.

2014-05-13 | E-GEOD-52724 | biostudies-arrayexpress

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

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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 [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.

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