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Genomic Characterization of Diabetic Gastroparesis
Summary Data Summary
Applicant Sarosiek, Irene
E-Mail Address irene.sarosiek@ttuhsc.edu
Project Title Genomic Characterization of Diabetic Gastroparesis
CBU ID 12GHSU178
External SubContract ID 25732-7
Diabetic Complication Gastro-Intestinal (GI)
Funding Program Group Pilot & Feasibility [PF2012]
Abstract To date, little is known in regards to the genetic alterations which accompany
the onset of gastroparesis (GP) which affects 30-65% of diabetic patients. The
goal of this study is to characterize unique changes in RNA expression in
gastric tissue and serum of diabetic, gastroparetic patients to identify the
molecular pathways that lead to gastric dysfunction. To do this, we have been
approved to use serum and gastric tissue samples collected by the Gastroparesis
Clinical Research Consortium (GpCRC) on which we propose to isolate mRNA (from
gastric tissues) and miRNA (from serum and gastric tissues). These serum and
tissue samples are from symptomatic diabetics, who have documented delayed
emptying of the stomach, have glucose control with HA1c < 10, no renal
impairment (creatinine <2.0 mg/dl) and no active malignancy. Our control group
will include diabetic patients who have no symptoms of gastroparesis, have no
peripheral neuropathy, have good glucose (HbA1c<10), creatinine <2mg/dl and no
malignancy. Once isolated and hybridized to expression arrays, these RNA samples
will help to identify genes uniquely expressed or absent in the experimental
(diabetic, gastroparetic) vs. control (diabetic-only) group. Briefly we will
isolate circulating miRNA from serum-exosomes or mRNA and miRNA from
paraffin-embedded gastric tissue samples using commercially available and highly
optimized kits. Once isolated, the RNA will be assayed for integrity, and if
suitable, amplified, and properly labeled for hybridization onto either whole
genome microarray or microRNA expression arrays. Hybridized signal intensities
will be assayed and analyzed for statistical significance using appropriate
microarray software. Upon completion of this project, we expect to identify
clusters of mRNA and microRNA changes on which we can apply pathway analysis
software to identify putative pathways that regulate or are regulated by these
genes. If awarded, this very sophisticated genetic research project could be
recognized as a scientific bridge between two Consortiums, GPCRC and DCC
focusing on the same population of patients and their clinical complications.
Application PDF Application Research Plan
Status Contract Executed
Key Personnel
Salary Total Costs 22121
Supply Total Costs 41768
Equipment Total Costs 0
Travel/Other Total Costs 3000
Direct Costs 66889
Indirect Costs Proposed 33110
Total Costs Proposed 99999
Total Costs Approved 99999
Start Date 10/1/2012
End Date 4/30/2014
IFO Name Rivera, Victoria
IFO E-Mail Address victoria.rivera@ttuhsc.edu
IACUC/IRB No. 99999
IACUC/IRB Institution Texas Tech University Health Sciences Center
Entity ID No. 75-2668014
Report Request Date 5/30/2014
T1D NO
TypeCount
Invoices 6
Progress Reports 2
Data Submission


Invoices
UrlCBU IDExternal IDInstitutionDateDirectIndirectInvoiceBalancePDF
  View  12GHSU17825732-7Texas Tech University Health Sciences Center9/29/2014$9,218.19-$9,218.19$19,577.06View PDF
  View  12GHSU17825732-7Texas Tech University Health Sciences Center9/11/2013$19,475.08$9,640.16$29,115.24$19,577.06View PDF
  View  12GHSU17825732-7Texas Tech University Health Sciences Center6/24/2014$1,794.00-$1,794.00$19,577.06View PDF
  View  12GHSU17825732-7Texas Tech University Health Sciences Center3/14/2014$20,000.00$9,900.00$29,900.00$19,577.06View PDF
  View  12GHSU17825732-7Texas Tech University Health Sciences Center12/11/2013$631.36$312.53$943.89$19,577.06View PDF
  View  12GHSU17825732-7Texas Tech University Health Sciences Center11/11/2013$8,937.20$513.42$9,450.62$19,577.06View PDF
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