Mars Stone1,2, Sheila M Keating1,2, Tamir Kanias3,4, Marion C Lanteri1,2, Mila Lebedeva1, Derek Sinchar3, Dylan Hampton1, Adam Jakub3, Val Rychka3, Greg Brewer3, Sonia Bakkour1, Nelly Gefter1, Karla Murcia1, Grier P Page5, Stacy Endres-Dighe6, Walter Bialkowski7, Xiaoyun Fu8, Jim Zimring8, Thomas J Raife9, Steve Kleinman10, Mark T Gladwin3,4, Michael P Busch1,2. 1. Vitalant Research Institute (Formerly Blood Systems Research Institute), San Francisco, California. 2. Department of Laboratory Medicine, University of California, San Francisco, California. 3. Pittsburgh Heart, Lung, Blood and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pennsylvania. 4. Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania. 5. RTI International, Atlanta, Georgia. 6. RTI International, Rockville, Maryland. 7. Blood Research and Medical Sciences Institutes, Blood Center of Wisconsin, Milwaukee, Wisconsin. 8. Bloodworks NW Research Institute; and the Department of Laboratory Medicine and the Department of Medicine, Division of Hematology, University of Washington School of Medicine, Seattle, Washington. 9. Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin. 10. Clinical Pathology, University of British Columbia, School of Medicine, Vancouver, British Columbia, Canada.
Abstract
BACKGROUND: The major aims of the RBC-Omics study were to evaluate the genomic and metabolomic determinants of spontaneous and stress-induced hemolysis during RBC storage. This study was unique in scale and design to allow evaluation of RBC donations from a sufficient number of donors across the spectrum of race, ethnicity, sex, and donation intensity. Study procedures were carefully piloted, optimized, and controlled to enable high-quality data collection. METHODS: The enrollment goal of 14,000 RBC donors across four centers, with characterization of RBC hemolysis across two testing laboratories, required rigorous piloting and optimization and establishment of a quality assurance (QA) and quality control (QC) program. Optimization of WBC elution from leukoreduction (LR) filters, development and validation of small-volume transfer bags, impact of manufacturing and sample-handling procedures on hemolysis parameters, and testing consistency across laboratories and technicians and over time were part of this quality assurance/quality control program. RESULTS: LR filter elution procedures were optimized for obtaining DNA for analysis. Significant differences between standard and pediatric storage bags led to use of an alternative LR-RBC transfer bag. The impact of sample preparation and freezing methods on metabolomics analyses was evaluated. Proficiency testing monitored and documented testing consistency across laboratories and technicians. CONCLUSION: Piloting and optimization, and establishment of a robust quality assurance/quality control program documented process consistency throughout the study and was essential in executing this large-scale multicenter study. This program supports the validity of the RBC-Omics study results and a sample repository that can be used in future studies.
BACKGROUND: The major aims of the RBC-Omics study were to evaluate the genomic and metabolomic determinants of spontaneous and stress-induced hemolysis during RBC storage. This study was unique in scale and design to allow evaluation of RBC donations from a sufficient number of donors across the spectrum of race, ethnicity, sex, and donation intensity. Study procedures were carefully piloted, optimized, and controlled to enable high-quality data collection. METHODS: The enrollment goal of 14,000 RBC donors across four centers, with characterization of RBC hemolysis across two testing laboratories, required rigorous piloting and optimization and establishment of a quality assurance (QA) and quality control (QC) program. Optimization of WBC elution from leukoreduction (LR) filters, development and validation of small-volume transfer bags, impact of manufacturing and sample-handling procedures on hemolysis parameters, and testing consistency across laboratories and technicians and over time were part of this quality assurance/quality control program. RESULTS: LR filter elution procedures were optimized for obtaining DNA for analysis. Significant differences between standard and pediatric storage bags led to use of an alternative LR-RBC transfer bag. The impact of sample preparation and freezing methods on metabolomics analyses was evaluated. Proficiency testing monitored and documented testing consistency across laboratories and technicians. CONCLUSION: Piloting and optimization, and establishment of a robust quality assurance/quality control program documented process consistency throughout the study and was essential in executing this large-scale multicenter study. This program supports the validity of the RBC-Omics study results and a sample repository that can be used in future studies.
Authors: Marion C Lanteri; Tamir Kanias; Sheila Keating; Mars Stone; Yuelong Guo; Grier P Page; Donald J Brambilla; Stacy M Endres-Dighe; Alan E Mast; Walter Bialkowski; Pam D'Andrea; Ritchard G Cable; Bryan R Spencer; Darrell J Triulzi; Edward L Murphy; Steven Kleinman; Mark T Gladwin; Michael P Busch Journal: Transfusion Date: 2018-11-08 Impact factor: 3.157
Authors: Davide Stefanoni; Xiaoyun Fu; Julie A Reisz; Tamir Kanias; Travis Nemkov; Grier P Page; Larry Dumont; Nareg Roubinian; Mars Stone; Steve Kleinman; Michael Busch; James C Zimring; Angelo D'Alessandro Journal: Transfusion Date: 2020-05-08 Impact factor: 3.157
Authors: Angelo D'Alessandro; Xiaoyun Fu; Julie A Reisz; Mars Stone; Steve Kleinman; James C Zimring; Michael Busch Journal: Transfusion Date: 2020-05-08 Impact factor: 3.157
Authors: Angelo D'Alessandro; Xiaoyun Fu; Julie A Reisz; Tamir Kanias; Grier P Page; Mars Stone; Steve Kleinman; James C Zimring; Michael Busch Journal: Transfusion Date: 2020-05-11 Impact factor: 3.157
Authors: Fang Fang; Kelsey Hazegh; Derek Sinchar; Yuelong Guo; Grier P Page; Alan E Mast; Steve Kleinman; Michael P Busch; Tamir Kanias Journal: Blood Transfus Date: 2019-07 Impact factor: 3.443
Authors: Lorenzo Bertolone; Micaela Kalani Roy; Ariel M Hay; Evan J Morrison; Davide Stefanoni; Xiaoyun Fu; Tamir Kanias; Steve Kleinman; Larry J Dumont; Mars Stone; Travis Nemkov; Michael P Busch; James C Zimring; Angelo D'Alessandro Journal: Transfusion Date: 2020-04-27 Impact factor: 3.157
Authors: Kelsey Hazegh; Fang Fang; Marjorie D Bravo; Johnson Q Tran; Marcus O Muench; Rachael P Jackman; Nareg Roubinian; Lorenzo Bertolone; Angelo DʼAlessandro; Larry Dumont; Grier P Page; Tamir Kanias Journal: Transfusion Date: 2020-11-04 Impact factor: 3.157