Dec 19, 2022

Public workspaceUPitt TriState SenNet TMC Donor acceptance criteria

DOI
dx.doi.org/10.17504/protocols.io.3byl4jwr2lo5/v1
  • 1Division of Pulmonary and Critical Care Medicine. Department of Medicine. School of Medicine University of Pittsburgh
Marta Bueno
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DOI: dx.doi.org/10.17504/protocols.io.3byl4jwr2lo5/v1
Protocol Citation: John Sembrat, Alison Morris, Melanie Königshoff, Oliver Eickelberg 2022. UPitt TriState SenNet TMC Donor acceptance criteria . protocols.io https://dx.doi.org/10.17504/protocols.io.3byl4jwr2lo5/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License,  which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: December 15, 2022
Last Modified: December 19, 2022
Protocol Integer ID: 74041
Funders Acknowledgement:
TriState SenNET (Lung and Heart) Tissue Map and Atlas consortium - NIA
Grant ID: U54AG075931
Abstract
This document outlines the required criteria for donor inclusion of lung and heart specimens in the TriState SenNet TMC Biospecimen Core at the University of Pittsburgh, as part of the Cellular Senescence Network Program (SenNet). The study intends to be as inclusive as possible of race and ethnicity, dependent only on the consent for donor tissue for research. Disease known at the time of donation or later identified during the research will not necessarily exclude the sample from the research program.
Inclusion Criteria
Inclusion Criteria
Inclusion Criteria:
  • Age: Adulthood -Young through middle age and senior years (approx. 18 to >95 years)
  • All sex, gender, race, ethnicity are eligible
  • Known state of health and diagnoses
Exclusion Criteria
Exclusion Criteria
Exclusion Criteria:
  • Unknown time of death
  • Prolonged Warm Ischemic Time (more than 2h)
  • Prolonged Cold Ischemic Time (more than 18h)
  • Known diseases including congenital anomaly or inborn error unsuitable for SenNet research
  • Infection with high-level organisms representing risk in processing and shipment