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In-situ characterization of cell injury in Diabetes using tissue cytometry and machine learning
Summary Data Summary
Applicant Ashkar, Tarek
E-Mail Address telachka@iu.edu
Project Title In-situ characterization of cell injury in Diabetes using tissue cytometry and
machine learning
CBU ID 21AU4207
External SubContract ID 36305-6
Diabetic Complication Nephropathy
Funding Program Group Pilot & Feasibility [PF2021]
Abstract There is a fundamental gap in understanding the mechanisms and the pathobiology
of human diabetic nephropathy (DN). The presence of this knowledge gap presents
an important problem because specific therapeutic interventions to treat or slow
disease progression cannot be fully accomplished until this gap is filled. Our
long-term goal is to characterize key cellular and molecular pathways underlying
DN, and to identify patterns of injury that promulgate disease progression so
that specific therapeutic interventions could be developed. The objective of
this application is to comprehensively characterize cell injury induced by
diabetes in situ, using innovative approaches in imaging and image analytics
applied on biopsies with diabetic kidney disease. The central hypothesis of this
application is that diabetes induces a spatially-anchored and biologically
interpretable pattern of cell injury across the entire nephron and the
associated interstitium. The rationale for the proposed research is that an
imaging-based detection and classification of injury allows the preservation of
tissue architecture and defining the spatial context of each cell, thereby
enhancing the ability to interpret how specific injury across different cell
types is linked to disease. The hypothesis will be tested the following two
specific aims: 1) Define the landscape of diabetes-induced cell injury in situ
using an imaging-based approach that combines tissue cytometry and machine
learning and 2) Establish that tubular injury in diabetes differentially affects
thick ascending limb (TAL) cells. At the completion of this project, we expect
to define a spatially- anchored extended injury profile for the major cell types
in diabetic kidney disease and demonstrate a differential susceptibility to
diabetes-induced injury for specific cells in various compartments. These
results will have an important positive impact because they are expected to
define subpopulations of injured cells induced by diabetes, which could
complement other ongoing efforts to define the transcriptomic profile of cell
injury in diabetes. These results will fundamentally advance our mechanistic
understanding of diabetic kidney disease because of linking cell injury to
specific renal microenvironments.
Application PDF Application Research Plan
Status Contract Executed
Key Personnel Tarek Ashkar
Mohammad Al Hasan
Salary Total Costs 45686
Supply Total Costs 1828
Equipment Total Costs 0
Travel/Other Total Costs 17670
Direct Costs 65184
Indirect Costs Proposed 34816
Total Costs Proposed 100000
Total Costs Approved 100000
Start Date 6/30/2021
End Date 6/30/2022
IFO Name Becker, James P.
IFO E-Mail Address IUAward@iu.edu
IACUC/IRB No. 1601431846
IACUC/IRB Institution Trustees of Indiana University
Entity ID No. 1-356001673-A1
Report Request Date 7/1/2022
T1D NO
TypeCount
Invoices 5
Progress Reports 1
Data Submission


Invoices
UrlCBU IDExternal IDInstitutionDateDirectIndirectInvoiceBalancePDF
  View  21AU420736305-6Trustees of Indiana University8/25/2022$26,174.79$15,312.33$41,487.12-View PDF
  View  21AU420736305-6Trustees of Indiana University5/25/2022$13,193.83$5,759.86$18,953.69-View PDF
  View  21AU420736305-6Trustees of Indiana University3/24/2022$8,427.47$4,930.12$13,357.59-View PDF
  View  21AU420736305-6Trustees of Indiana University11/5/2021$10,398.24$4,559.68$14,957.92-View PDF
  View  21AU420736305-6Trustees of Indiana University1/28/2022$7,093.77$4,149.91$11,243.68-View PDF


Reports
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