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Nguyen L, Leach A, Piwowar-Manning E, Marzinke M, Levesque A, Gregorio C, Skinner K, Towindo T, Hanes H, Sarpong K, Kasongo C, Samsunder N, Aldrovandi G, Ferbas KG, Engelbrecht A, Stirewalt M, Anyango E, Ubolyam S, Lankford-Turner P, Sarzotti-Kelsoe M. Strengthening the Application of the DAIDS GCLP Guidelines: The Implementation of an Integrated Laboratory Oversight Framework. AIDS Res Hum Retroviruses 2024; 40:622-630. [PMID: 39135473 DOI: 10.1089/aid.2024.0042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2024] Open
Abstract
The Division of AIDS (DAIDS) Good Clinical Laboratory Practice (GCLP) Guidelines establish a framework to guide the oversight of laboratories supporting DAIDS-sponsored clinical research or trials. Compliance with these guidelines promotes data reliability, validity, and safety of the clinical research or trial participants and laboratory staff and ensures adherence to regulatory requirements. Acknowledgment and adoption of the DAIDS GCLP Guidelines are critical in building laboratory capacity and preparedness for conducting clinical trials. In collaboration with DAIDS, laboratory experts support the implementation of the DAIDS Integrated Laboratory Oversight Framework (Framework) activities. This article describes the implementation of the GCLP Guidelines, the Framework activities, and the coordinated efforts to strengthen laboratory performance. The Framework activities include four components: Quality Assurance Oversight, GCLP Audits, GCLP Training, and Laboratory Quality Improvement. Comparison of GCLP Guidelines with other regulations or standards, including U.S. Clinical Laboratory Improvement Amendments regulation 42 CFR 493, College of American Pathologists, World Health Organization GCLP, and International Organization for Standardization, ISO 15189:2012 standards, highlighted the differences and similarities to guide integration and harmonization efforts. Processes related to the Framework activities are outlined in detail, including key data derived from the managed activities of over 175 laboratories worldwide. Via the evolution of the DAIDS GCLP Guidelines and laboratory oversight workflows, the laboratories participating in DAIDS-sponsored clinical research and trials have successfully participated in internal and external regulatory audits. The collaborative and integrated oversight approach promotes knowledge-sharing and accountability to support the implementation of the DAIDS GCLP Guidelines and compliance monitoring. Lessons learned have helped with the implementation of the DAIDS integrated laboratory oversight approach and quality oversight programs at multiple laboratories worldwide.
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Affiliation(s)
- Loc Nguyen
- PPD, Part of Thermo Fisher Scientific, Wilmington, North Carolina, USA
| | - Anne Leach
- Patient Safety Monitoring in International Laboratories (pSMILE), Department of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Estelle Piwowar-Manning
- HIV Prevention Trials Network LC, Department of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Mark Marzinke
- HIV Prevention Trials Network LC, Department of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
| | | | | | - Kristen Skinner
- Department of Surgery and Center for AIDS Research, Duke University Medical Center, Durham, North Carolina, USA
| | - Tiri Towindo
- PPD, Part of Thermo Fisher Scientific, Wilmington, North Carolina, USA
| | - Heidi Hanes
- Patient Safety Monitoring in International Laboratories (pSMILE), Department of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kwabena Sarpong
- Infectious Diseases Institute (IDI) Core Lab, Kampala, Uganda
| | | | - Natasha Samsunder
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Berea, South Africa
| | - Grace Aldrovandi
- International Maternal Pediatric Adolescent AIDS Clinical Trials and AIDS Clinical Trials Group, University of California, Los Angeles, California, USA
| | - Kathie G Ferbas
- International Maternal Pediatric Adolescent AIDS Clinical Trials and AIDS Clinical Trials Group, University of California, Los Angeles, California, USA
| | | | - Michael Stirewalt
- HIV Vaccine Trials Network LC, Cape Town, South Africa
- HIV Vaccine Trials Network LC, Seattle, Washington, USA
| | | | - Sasiwimol Ubolyam
- HIV Netherlands Australia Thailand (HIV-NAT) AIDS Research Centre, Bangkok, Thailand
| | | | - Marcella Sarzotti-Kelsoe
- Patient Safety Monitoring in International Laboratories (pSMILE), Department of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
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2
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Ivison S, Boucher G, Zheng G, Garcia RV, Kohen R, Bitton A, Rioux JD, Levings MK. Improving Reliability of Immunological Assays by Defining Minimal Criteria for Cell Fitness. Immunohorizons 2024; 8:622-634. [PMID: 39248805 PMCID: PMC11447670 DOI: 10.4049/immunohorizons.2300095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 08/14/2024] [Indexed: 09/10/2024] Open
Abstract
Human PBMC-based assays are often used as biomarkers for the diagnosis and prognosis of disease, as well as for the prediction and tracking of response to biological therapeutics. However, the development and use of PBMC-based biomarker assays is often limited by poor reproducibility. Complex immunological assays can be further complicated by variation in cell handling before analysis, especially when using cryopreserved cells. Variation in postthaw viability is further increased if PBMC isolation and cryopreservation are done more than a few hours after collection. There is currently a lack of evidence-based standards for the minimal PBMC viability or "fitness" required to ensure the integrity and reproducibility of immune cell-based assays. In this study, we use an "induced fail" approach to examine the effect of thawed human PBMC fitness on four flow cytometry-based assays. We found that cell permeability-based viability stains at the time of thawing did not accurately quantify cell fitness, whereas a combined measurement of metabolic activity and early apoptosis markers did. Investigation of the impact of different types and levels of damage on PBMC-based assays revealed that only when cells were >60-70% live and apoptosis negative did biomarker values cease to be determined by cell fitness rather than the inherent biology of the cells. These data show that, to reproducibly measure immunological biomarkers using cryopreserved PBMCs, minimal acceptable standards for cell fitness should be incorporated into the assay protocol.
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Affiliation(s)
- Sabine Ivison
- Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
| | | | - Grace Zheng
- Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Rosa V. Garcia
- Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Rita Kohen
- McGill University Health Centre, Montreal, Quebec, Canada
| | - Alain Bitton
- McGill University Health Centre, Montreal, Quebec, Canada
| | - John D. Rioux
- Montreal Heart Institute, Montreal, Quebec, Canada
- Department of Medicine, Université de Montréal, Montreal, Quebec, Canada
- Department of Biochemistry and Molecular Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Megan K. Levings
- Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
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3
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Dintwe OB, De Rosa SC, Huang Y, Flach BS, Manso B, Carter D, Omar FL, Schwedhelm KV, Yu C, Lu H, Morris D, Kee JJ, Voillet V, Stirewalt M, Hural J, Moodie Z, Frahm N, Cohen KW, McElrath MJ, Andersen-Nissen E. Achieving intracellular cytokine staining assay concordance on two continents to assess HIV vaccine-induced T-cell responses. J Leukoc Biol 2022; 112:1167-1181. [PMID: 35866359 DOI: 10.1002/jlb.5ma0522-668r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 05/27/2022] [Accepted: 07/11/2022] [Indexed: 12/24/2022] Open
Abstract
The HIV Vaccine Trials Network (HVTN) conducts clinical trials on 4 continents in pursuit of a safe and effective HIV vaccine. Cellular immune responses to vaccination that define vaccine immunogenicity and/or immune correlates of protection can be measured using multiparameter intracellular cytokine staining (ICS) assays. The HVTN cellular immunology laboratory, located in Seattle, WA, conducts ICS assays for vaccine trials according to Good Clinical Laboratory Practices (GCLP). In 2013, the HVTN established a second GCLP compliant cellular immunology laboratory in Cape Town, South Africa to assess vaccine immunogenicity for HVTN trials conducted on the African continent. To ensure ICS readouts in the 2 laboratories were directly comparable, we conducted concordance testing using PBMC from healthy controls and vaccine trial participants. Despite standardized procedures and instrumentation, shared quality control measures and quality assurance oversight, several factors impacted our ability to obtain close agreement in T-cell responses measured in the 2 laboratories. One of these was the type of fetal bovine serum (FBS) used in the assay, which impacted lymphocyte cell viability and background responses. In addition, the differences in supernatant removal technique also significantly affected our ability to detect positive responses to vaccine antigens. Standardization of these factors allowed us to achieve and maintain ICS assay concordance across the 2 laboratories over multiple years, accelerating our efforts to evaluate HIV vaccines. The insights gained in this process are valuable for assay transfer efforts by groups of investigators that need to directly compare data generated in different laboratories around the globe.
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Affiliation(s)
- One B Dintwe
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA.,Cape Town HVTN Immunology Laboratory, Cape Town, South Africa
| | - Stephen C De Rosa
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Yunda Huang
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Britta S Flach
- Cape Town HVTN Immunology Laboratory, Cape Town, South Africa
| | - Bryce Manso
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Don Carter
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | | | - Katharine V Schwedhelm
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Chenchen Yu
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Huiyin Lu
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Daryl Morris
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Jia Jin Kee
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | | | - Michael Stirewalt
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - John Hural
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Zoe Moodie
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Nicole Frahm
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Kristen W Cohen
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - M Juliana McElrath
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA
| | - Erica Andersen-Nissen
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington, USA.,Cape Town HVTN Immunology Laboratory, Cape Town, South Africa
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4
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White S, Quinn J, Enzor J, Staats J, Mosier SM, Almarode J, Denny TN, Weinhold KJ, Ferrari G, Chan C. FlowKit: A Python Toolkit for Integrated Manual and Automated Cytometry Analysis Workflows. Front Immunol 2021; 12:768541. [PMID: 34804056 PMCID: PMC8602902 DOI: 10.3389/fimmu.2021.768541] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 10/19/2021] [Indexed: 01/23/2023] Open
Abstract
An important challenge for primary or secondary analysis of cytometry data is how to facilitate productive collaboration between domain and quantitative experts. Domain experts in cytometry laboratories and core facilities increasingly recognize the need for automated workflows in the face of increasing data complexity, but by and large, still conduct all analysis using traditional applications, predominantly FlowJo. To a large extent, this cuts domain experts off from the rapidly growing library of Single Cell Data Science algorithms available, curtailing the potential contributions of these experts to the validation and interpretation of results. To address this challenge, we developed FlowKit, a Gating-ML 2.0-compliant Python package that can read and write FCS files and FlowJo workspaces. We present examples of the use of FlowKit for constructing reporting and analysis workflows, including round-tripping results to and from FlowJo for joint analysis by both domain and quantitative experts.
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Affiliation(s)
- Scott White
- Duke Center for AIDS Research, Duke University, Durham, NC, United States.,Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, United States.,Center for Human Systems Immunology, Duke University Medical Center, Durham, NC, United States
| | - John Quinn
- BD Life Sciences - FlowJo, Ashland, OR, United States
| | - Jennifer Enzor
- Duke Immune Profiling Core, Duke University School of Medicine, Durham, NC, United States.,Department of Surgery, Duke University Medical Center, Durham, NC, United States
| | - Janet Staats
- Duke Immune Profiling Core, Duke University School of Medicine, Durham, NC, United States.,Department of Surgery, Duke University Medical Center, Durham, NC, United States
| | - Sarah M Mosier
- Duke Center for AIDS Research, Duke University, Durham, NC, United States.,Department of Surgery, Duke University Medical Center, Durham, NC, United States
| | | | - Thomas N Denny
- Duke Center for AIDS Research, Duke University, Durham, NC, United States.,Duke Human Vaccine Institute, Durham, NC, United States
| | - Kent J Weinhold
- Duke Center for AIDS Research, Duke University, Durham, NC, United States.,Duke Immune Profiling Core, Duke University School of Medicine, Durham, NC, United States.,Department of Surgery, Duke University Medical Center, Durham, NC, United States
| | - Guido Ferrari
- Duke Center for AIDS Research, Duke University, Durham, NC, United States.,Center for Human Systems Immunology, Duke University Medical Center, Durham, NC, United States.,Department of Surgery, Duke University Medical Center, Durham, NC, United States
| | - Cliburn Chan
- Duke Center for AIDS Research, Duke University, Durham, NC, United States.,Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, United States.,Center for Human Systems Immunology, Duke University Medical Center, Durham, NC, United States
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5
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Chattopadhyay PK, Filby A, Jellison ER, Ferrari G, Green C, Cherian S, Irish J, Litwin V. A Cytometrist's Guide to Coordinating and Performing Effective COVID-19 Research. Cytometry A 2021; 99:11-18. [PMID: 32881296 PMCID: PMC7461086 DOI: 10.1002/cyto.a.24210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 08/12/2020] [Accepted: 08/13/2020] [Indexed: 11/23/2022]
Abstract
Cytometry is playing a crucial role in addressing the COVID-19 pandemic. In this commentary-written by a variety of stakeholders in the cytometry, immunology, and infectious disease communities-we review cytometry's role in the COVID-19 response and discuss workflow issues critical to planning and executing effective research in this emerging field. We discuss sample procurement and processing, biosafety, technology options, data sharing, and the translation of research findings into clinical environments. © 2020 International Society for Advancement of Cytometry.
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Affiliation(s)
| | - Andrew Filby
- Flow Cytometry Core and Innovation, Methodology and Application Research ThemeBiosciences Institute, Newcastle UniversityNewcastleUK
| | - Evan R. Jellison
- Department of ImmunologyUConn School of MedicineFarmingtonConnecticutUSA
| | - Guido Ferrari
- Department of Surgery – EQAPOL Flow Cytometry ProgramDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Cherie Green
- Biomarker DevelopmentGenentech/RocheOceansideCaliforniaUSA
| | - Sindhu Cherian
- Department of Laboratory Medicine & PathologyUniversity of WashingtonSeattleWashingtonUSA
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6
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Price LS, Adamow M, Attig S, Fecci P, Norberg P, Reap E, Janetzki S, McNeil LK. Gating Harmonization Guidelines for Intracellular Cytokine Staining Validated in Second International Multiconsortia Proficiency Panel Conducted by Cancer Immunotherapy Consortium (CIC/CRI). Cytometry A 2020; 99:107-116. [PMID: 33090656 DOI: 10.1002/cyto.a.24244] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 09/21/2020] [Accepted: 10/19/2020] [Indexed: 11/07/2022]
Abstract
Results from the first gating proficiency panel of intracellular cytokine staining (ICS) highlighted the value of using a consensus gating approach to reduce the variability across laboratories in reported %CD8+ or %CD4+ cytokine-positive cells. Based on the data analysis from the first proficiency panel, harmonization guidelines for a consensus gating protocol were proposed. To validate the recommendations from the first panel and to examine factors that were not included in the first panel, a second ICS gating proficiency panel was organized. All participants analyzed the same set of Flow Cytometry Standard (FCS) files using their own gating protocol. An optional learning module was provided to demonstrate how to apply the previously established gating recommendations and harmonization guidelines to actual ICS data files. Eighty-three participants took part in this proficiency panel. The results from this proficiency panel confirmed the harmonization guidelines from the first panel. These recommendations addressed the (1) placement of the cytokine-positive gate, (2) identification of CD4+ CD8+ double-positive T cells, (3) placement of lymphocyte gate, (4) inclusion of dim cells, (5) gate uniformity, and (6) proper adjustment of the biexponential scaling. In addition, based on the results of this proficiency gating panel, two new recommendations were added to expand the harmonization guidelines: (1) inclusion of dump channel marker to gate all live and dump negative cells and (2) backgating to confirm the correct placement of gates across all populations. © 2020 International Society for Advancement of Cytometry.
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Affiliation(s)
- Leah S Price
- Bioforum, The Data Masters, CRO, Ness Ziona, Israel
| | - Matthew Adamow
- Memorial Sloan Kettering Cancer Center, New York, New York, 10065, USA
| | - Sebastian Attig
- TRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.,Department for Internal Medicine, Johannes Gutenberg University, Mainz, Germany
| | - Peter Fecci
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, 27710, USA
| | - Pamela Norberg
- Duke University Medical Center, Durham, North Carolina, 27710, USA
| | | | | | - Lisa K McNeil
- Elicio Therapeutics, Cambridge, Massachusetts, 02139, USA
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7
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Staats J. Immunophenotyping of Human Regulatory T Cells. Methods Mol Biol 2019; 2032:141-177. [PMID: 31522418 DOI: 10.1007/978-1-4939-9650-6_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Regulatory T cells, also known as Tregs, play a pivotal role in maintaining homeostasis of the immune system and self-tolerance. Tregs express CD3, CD4, CD25, and FOXP3 but lack CD127. CD4 and CD3 identify helper T lymphocytes, of which Tregs are a subset. CD25 is IL-2Rα, an essential activation marker that is expressed in high levels on Tregs. FOXP3 is the canonical transcription factor, important in the development, maintenance, and identification of Tregs. CD127 is IL-7 receptor, expressed inversely with suppression, and is therefore downregulated on Tregs. Flow cytometry is a powerful tool that is capable of simultaneously measuring Tregs along with several markers associated with subpopulations of Tregs, activation, maturation, proliferation, and surrogates of functional suppression. This chapter describes a multicolor flow cytometry-based approach to measure human Tregs, including details for surface staining, fixation/permeabilization, intracellular/intranuclear staining, acquisition of samples on a flow cytometer, plus analysis and interpretation of resulting FCS files.
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Affiliation(s)
- Janet Staats
- Department of Surgery, Duke University Medical Center, Durham, NC, USA.
- Duke Immune Profiling Core, Duke University Medical Center, Durham, NC, USA.
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8
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Abstract
PURPOSE OF REVIEW Immune monitoring to determine when and how the recovery of cytomegalovirus (CMV)-specific T-cells occurs post-transplantation may help clinicians to risk stratify individuals at risk of complications from CMV. We aimed to review all recent clinical studies using CMV immune monitoring in the pre- and post-transplant setting including the use of recently developed standardized assays (Quantiferon-CMV and the CMV ELISPOT) to better understand in whom, when, and how immune monitoring is best used. RECENT FINDINGS Pre-transplant assessment of CMV immunity in solid-organ transplant recipients where CMV seropositive recipients had undetectable cell-mediated responses despite past immunity has shown that they are at a much higher risk of developing CMV reactivation. Post-transplant CMV immune monitoring can guide (shorten or prolong) the duration of antiviral prophylaxis, identify recipients at risk of post-prophylaxis CMV disease, and predict recurrent CMV reactivation. Thus, CMV immune monitoring, in addition to current clinical and DNA-based monitoring for CMV, has the potential to be incorporated into routine clinical care to better improve CMV management in both the stem and solid-organ transplant population.
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Affiliation(s)
- Michelle K Yong
- The Peter Doherty Institute for Infection and Immunity, The University of Melbourne and Royal Melbourne Hospital, 792 Elizabeth Street, Melbourne, VIC, 3000, Australia. .,National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia.
| | - Sharon R Lewin
- The Peter Doherty Institute for Infection and Immunity, The University of Melbourne and Royal Melbourne Hospital, 792 Elizabeth Street, Melbourne, VIC, 3000, Australia
| | - Oriol Manuel
- Infectious Diseases Service, Department of Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.,Transplantation Center, Department of Anesthesiology and Surgery, University Hospital and University of Lausanne, Lausanne, Switzerland
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9
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Chan RCF, Kotner JS, Chuang CMH, Gaur A. Stabilization of pre-optimized multicolor antibody cocktails for flow cytometry applications. CYTOMETRY PART B-CLINICAL CYTOMETRY 2016; 92:508-524. [DOI: 10.1002/cyto.b.21371] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 02/13/2016] [Accepted: 03/14/2016] [Indexed: 12/17/2022]
Affiliation(s)
| | | | | | - Amitabh Gaur
- Custom Technology Team, BD Biosciences; San Diego California
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10
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Rountree W, Berrong M, Sanchez AM, Denny TN, Ferrari G. Variability of the IFN-γ ELISpot assay in the context of proficiency testing and bridging studies. J Immunol Methods 2016; 433:69-76. [PMID: 27021273 DOI: 10.1016/j.jim.2016.03.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Revised: 01/29/2016] [Accepted: 03/18/2016] [Indexed: 11/18/2022]
Abstract
Assays that assess cellular mediated immune responses performed under Good Clinical Laboratory Practice (GCLP) guidelines are required to provide specific and reproducible results. Defined validation procedures are required to establish the Standard Operating Procedure (SOP), include pass and fail criteria, as well as implement positivity criteria. However, little to no guidance is provided on how to perform longitudinal assessment of the key reagents utilized in the assay. Through the External Quality Assurance Program Oversight Laboratory (EQAPOL), an Interferon-gamma (IFN-γ) Enzyme-linked immunosorbent spot (ELISpot) assay proficiency testing program is administered. A limit of acceptable within site variability was estimated after six rounds of proficiency testing (PT). Previously, a PT send-out specific within site variability limit was calculated based on the dispersion (variance/mean) of the nine replicate wells of data. Now an overall 'dispersion limit' for the ELISpot PT program within site variability has been calculated as a dispersion of 3.3. The utility of this metric was assessed using a control sample to calculate the within (precision) and between (accuracy) experiment variability to determine if the dispersion limit could be applied to bridging studies (studies that assess lot-to-lot variations of key reagents) for comparing the accuracy of results with new lots to results with old lots. Finally, simulations were conducted to explore how this dispersion limit could provide guidance in the number of replicate wells needed for within and between experiment variability and the appropriate donor reactivity (number of antigen-specific cells) to be used for the evaluation of new reagents. Our bridging study simulations indicate using a minimum of six replicate wells of a control donor sample with reactivity of at least 150 spot forming cells per well is optimal. To determine significant lot-to-lot variations use the 3.3 dispersion limit for between and within experiment variability.
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Affiliation(s)
- Wes Rountree
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA.
| | - Mark Berrong
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA
| | - Ana M Sanchez
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA
| | - Thomas N Denny
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA
| | - Guido Ferrari
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA
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11
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Rothman AL, Currier JR, Friberg HL, Mathew A. Analysis of cell-mediated immune responses in support of dengue vaccine development efforts. Vaccine 2015; 33:7083-90. [PMID: 26458801 DOI: 10.1016/j.vaccine.2015.09.104] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2015] [Revised: 09/10/2015] [Accepted: 09/12/2015] [Indexed: 11/23/2022]
Abstract
Dengue vaccine development has made significant strides, but a better understanding of how vaccine-induced immune responses correlate with vaccine efficacy can greatly accelerate development, testing, and deployment as well as ameliorate potential risks and safety concerns. Advances in basic immunology knowledge and techniques have already improved our understanding of cell-mediated immunity of natural dengue virus infection and vaccination. We conclude that the evidence base is adequate to argue for inclusion of assessments of cell-mediated immunity as part of clinical trials of dengue vaccines, although further research to identify useful correlates of protective immunity is needed.
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Affiliation(s)
- Alan L Rothman
- Institute for Immunology and Informatics and Department of Cell and Molecular Biology, University of Rhode Island, 80 Washington St., Providence, RI 02903, USA.
| | - Jeffrey R Currier
- Virus Diseases Branch, Walter Reed Army Institute of Research, 503 Robert Grant Ave., Silver Spring, MD, USA.
| | - Heather L Friberg
- Virus Diseases Branch, Walter Reed Army Institute of Research, 503 Robert Grant Ave., Silver Spring, MD, USA.
| | - Anuja Mathew
- Institute for Immunology and Informatics and Department of Cell and Molecular Biology, University of Rhode Island, 80 Washington St., Providence, RI 02903, USA.
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12
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White S, Laske K, Welters MJ, Bidmon N, van der Burg SH, Britten CM, Enzor J, Staats J, Weinhold KJ, Gouttefangeas C, Chan C. Managing Multi-center Flow Cytometry Data for Immune Monitoring. Cancer Inform 2015; 13:111-22. [PMID: 26085786 PMCID: PMC4463798 DOI: 10.4137/cin.s16346] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Revised: 11/19/2014] [Accepted: 11/21/2014] [Indexed: 12/17/2022] Open
Abstract
With the recent results of promising cancer vaccines and immunotherapy1–5, immune monitoring has become increasingly relevant for measuring treatment-induced effects on T cells, and an essential tool for shedding light on the mechanisms responsible for a successful treatment. Flow cytometry is the canonical multi-parameter assay for the fine characterization of single cells in solution, and is ubiquitously used in pre-clinical tumor immunology and in cancer immunotherapy trials. Current state-of-the-art polychromatic flow cytometry involves multi-step, multi-reagent assays followed by sample acquisition on sophisticated instruments capable of capturing up to 20 parameters per cell at a rate of tens of thousands of cells per second. Given the complexity of flow cytometry assays, reproducibility is a major concern, especially for multi-center studies. A promising approach for improving reproducibility is the use of automated analysis borrowing from statistics, machine learning and information visualization21–23, as these methods directly address the subjectivity, operator-dependence, labor-intensive and low fidelity of manual analysis. However, it is quite time-consuming to investigate and test new automated analysis techniques on large data sets without some centralized information management system. For large-scale automated analysis to be practical, the presence of consistent and high-quality data linked to the raw FCS files is indispensable. In particular, the use of machine-readable standard vocabularies to characterize channel metadata is essential when constructing analytic pipelines to avoid errors in processing, analysis and interpretation of results. For automation, this high-quality metadata needs to be programmatically accessible, implying the need for a consistent Application Programming Interface (API). In this manuscript, we propose that upfront time spent normalizing flow cytometry data to conform to carefully designed data models enables automated analysis, potentially saving time in the long run. The ReFlow informatics framework was developed to address these data management challenges.
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Affiliation(s)
- Scott White
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham NC, USA
| | - Karoline Laske
- Institute for Cell Biology, Department of Immunology, Tübingen, Germany
| | - Marij Jp Welters
- Experimental Cancer Immunology and Therapy, Department of Clinical Oncology (K1-P), Leiden University Medical Center, Leiden, the Netherlands
| | - Nicole Bidmon
- Translational Oncology at the University Medical Center of the Johannes-Gutenberg University gGmbH, Mainz, Germany
| | - Sjoerd H van der Burg
- Experimental Cancer Immunology and Therapy, Department of Clinical Oncology (K1-P), Leiden University Medical Center, Leiden, the Netherlands
| | - Cedrik M Britten
- Translational Oncology at the University Medical Center of the Johannes-Gutenberg University gGmbH, Mainz, Germany
| | - Jennifer Enzor
- Sr. Research Analyst, Flow Cytometry Core Facility, Center for AIDS Research, Duke University Medical Center, Durham, NC, USA
| | - Janet Staats
- Scientific/Research Laboratory Manager, Flow Cytometry Core Facility, Center for AIDS Research, Duke University Medical Center, Durham, NC, USA
| | - Kent J Weinhold
- Joseph W. and Dorothy W. Beard Professor of Surgery, Chief, Division of Surgical Sciences, Professor of Immunology and Pathology, Director, Duke Center for AIDS Research (CFAR), Duke University Medical Center, Durham, NC, USA
| | | | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham NC, USA
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13
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Sanchez AM, Denny TN, O'Gorman M. Introduction to a Special Issue of the Journal of Immunological Methods: Building global resource programs to support HIV/AIDS clinical trial studies. J Immunol Methods 2014; 409:1-5. [PMID: 24910413 DOI: 10.1016/j.jim.2014.05.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2014] [Accepted: 05/30/2014] [Indexed: 11/30/2022]
Abstract
This Special Issue of the Journal of Immunological Methods includes 16 manuscripts describing quality assurance activities related to virologic and immunologic monitoring of six global laboratory resource programs that support international HIV/AIDS clinical trial studies: Collaboration for AIDS Vaccine Discovery (CAVD); Center for HIV/AIDS Vaccine Immunology (CHAVI); External Quality Assurance Program Oversight Laboratory (EQAPOL); HIV Vaccine Trial Network (HVTN); International AIDS Vaccine Initiative (IAVI); and Immunology Quality Assessment (IQA). The reports from these programs address the many components required to develop comprehensive quality control activities and subsequent quality assurance programs for immune monitoring in global clinical trials including: all aspects of processing, storing, and quality assessment of PBMC preparations used ubiquitously in HIV clinical trials, the development and optimization of assays for CD8 HIV responses and HIV neutralization, a comprehensive global HIV virus repository, and reports on the development and execution of novel external proficiency testing programs for immunophenotyping, intracellular cytokine staining, ELISPOT and luminex based cytokine measurements. In addition, there are articles describing the implementation of Good Clinical Laboratory Practices (GCLP) in a large quality assurance laboratory, the development of statistical methods specific for external proficiency testing assessment, a discussion on the ability to set objective thresholds for measuring rare events by flow cytometry, and finally, a manuscript which addresses a framework for the structured reporting of T cell immune function based assays. It is anticipated that this series of manuscripts covering a wide range of quality assurance activities associated with the conduct of global clinical trials will provide a resource for individuals and programs involved in improving the harmonization, standardization, accuracy, and sensitivity of virologic and immunologic testing.
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Affiliation(s)
- Ana M Sanchez
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA.
| | - Thomas N Denny
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA
| | - Maurice O'Gorman
- Departments of Pathology and Pediatrics, Keck School of Medicine, University of Southern California, USA; Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA
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