1
|
Hoseinnezhad T, Soltani N, Ziarati S, Behboudi E, Mousavi MJ. The role of HLA genetic variants in COVID-19 susceptibility, severity, and mortality: A global review. J Clin Lab Anal 2024; 38:e25005. [PMID: 38251811 PMCID: PMC10829690 DOI: 10.1002/jcla.25005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/15/2023] [Accepted: 01/02/2024] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic has had a profound global impact, with variations in susceptibility, severity, and mortality rates across different regions. While many factors can contribute to the spread and impact of the disease, specifically human leukocyte antigen (HLA) genetic variants have emerged as potential contributors to COVID-19 outcomes. METHODS In this comprehensive narrative review, we conducted a thorough literature search to identify relevant studies investigating the association between HLA genetic variants and COVID-19 outcomes. Additionally, we analyzed allelic frequency data from diverse populations to assess differences in COVID-19 incidence and severity. RESULTS Our review provides insights into the immunological mechanisms involving HLA-mediated responses to COVID-19 and highlights potential research directions and therapeutic interventions. We found evidence suggesting that certain HLA alleles, such as HLA-A02, may confer a lower risk of COVID-19, while others, like HLA-C04, may increase the risk of severe symptoms and mortality. Furthermore, our analysis of allele frequency distributions revealed significant variations among different populations. CONCLUSION Considering host genetic variations, particularly HLA genetic variants, is crucial for understanding COVID-19 susceptibility and severity. These findings have implications for personalized treatment and interventions based on an individual's genetic profile. However, further research is needed to unravel the precise mechanisms underlying the observed associations and explore the potential for targeted therapies or preventive measures based on HLA genetic variants.
Collapse
Affiliation(s)
- Taraneh Hoseinnezhad
- Student Research Committee, Bushehr University of Medical Sciences, Bushehr, Iran
- Department of Hematology, School of Para-Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Nasrin Soltani
- Student Research Committee, Bushehr University of Medical Sciences, Bushehr, Iran
- Department of Hematology, School of Para-Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Sarina Ziarati
- Student Research Committee, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Emad Behboudi
- Department of Basic Medical Sciences, Khoy University of Medical Sciences, Khoy, Iran
| | - Mohammad Javad Mousavi
- Department of Hematology, School of Para-Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
| |
Collapse
|
2
|
Kakodkar P, Zhao Y, Pan H, Wu F, Pearce T, Webster D, Elemary M, Sabry W, Kwan L, Pelzer L, Bosch M, Sherwood KR, Lan J, Tran J, Liwski R, Keown P, Mostafa A. Validation of next-generation sequencing-based chimerism testing for accurate detection and monitoring of engraftment in hematopoietic stem cell transplantation. Front Genet 2023; 14:1282947. [PMID: 37937195 PMCID: PMC10626454 DOI: 10.3389/fgene.2023.1282947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/09/2023] [Indexed: 11/09/2023] Open
Abstract
Allogenic hematopoietic stem cell transplantation (allo-HSCT) is a life-saving treatment for various hematological disorders. The success of allo-HSCT depends on the engraftment of donor cells and the elimination of recipient cells monitored through chimerism testing. We aimed to validate a next-generation sequencing (NGS)-based chimerism assay for engraftment monitoring and to emphasize the importance of including the most prevalent cell subsets in proficiency testing (PT) programs. We evaluated the analytical performance of NGS-based chimerism testing (AlloSeq-HCT and CareDx) with a panel of targeted 202 informative single-nucleotide polymorphisms (SNPs) (i.e., linearity and precision, analytical sensitivity and specificity, system accuracy, and reproducibility). We further compared the performance of our NGS panel with conventional short tandem repeat (STR) analysis in unfractionated whole blood and cell-subset-enriched CD3 and CD66. Our NGS-based chimerism monitoring assay has an impressive detection limit (0.3% host DNA) for minor alleles and analytical specificity (99.9%). Pearson's correlation between NGS- and STR-based chimerism monitoring showed a linear relationship with a slope of 0.8 and r = 0.973. The concordance of allo-HSCT patients using unfractionated whole blood, CD3, and CD66 was 0.95, 0.96, and 0.54, respectively. Utilization of CD3+ cell subsets for mixed chimerism detection yielded an average of 7.3 ± 7-fold higher donor percentage detection compared to their corresponding unfractionated whole blood samples. The accuracy of the NGS assay achieved a concordance of 98.6% on blinded external quality control STR samples. The reproducibility series showed near 100% concordance with respect to inter-assay, inter-tech, inter-instrument, cell flow kits, and AlloSeq-HCT software versions. Our study provided robust validation of NGS-based chimerism testing for accurate detection and monitoring of engraftment in allo-HSCT patients. By incorporating the cell subsets (CD3 and CD66), the sensitivity and accuracy of engraftment monitoring are significantly improved, making them an essential component of any PT program. Furthermore, the implementation of NGS-based chimerism testing shows potential to streamline high-volume transplant services and improve clinical outcomes by enabling early relapse detection and guiding timely interventions.
Collapse
Affiliation(s)
- Pramath Kakodkar
- Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Yayuan Zhao
- Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Henry Pan
- Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Fang Wu
- Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Twyla Pearce
- Histocompatibility and Immunogenetics Laboratory, St. Paul’s Hospital, Saskatoon, SK, Canada
| | - Destinie Webster
- Histocompatibility and Immunogenetics Laboratory, St. Paul’s Hospital, Saskatoon, SK, Canada
| | - Mohamed Elemary
- Department of Hematological Oncology, Saskatchewan Cancer Agency, Saskatoon, SK, Canada
| | - Waleed Sabry
- Department of Hematological Oncology, Saskatchewan Cancer Agency, Saskatoon, SK, Canada
| | - Luvinia Kwan
- HLA Laboratory, Cancer Care Manitoba, Winnipeg, MB, Canada
| | - Lindsay Pelzer
- Department of Hematological Oncology, Saskatchewan Cancer Agency, Saskatoon, SK, Canada
| | - Mark Bosch
- Department of Hematological Oncology, Saskatchewan Cancer Agency, Saskatoon, SK, Canada
| | - Karen R. Sherwood
- University of British Columbia, Vancouver Coastal Health, Vancouver, BC, Canada
| | - James Lan
- Department of Transplant Nephrology, Vancouver Coastal Health, Vancouver, BC, Canada
| | - Jenny Tran
- University of British Columbia, Vancouver Coastal Health, Vancouver, BC, Canada
| | - Robert Liwski
- Department of Pathology, Dalhousie University, Halifax, NS, Canada
| | - Paul Keown
- University of British Columbia, Vancouver Coastal Health, Vancouver, BC, Canada
| | - Ahmed Mostafa
- Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada
- Histocompatibility and Immunogenetics Laboratory, St. Paul’s Hospital, Saskatoon, SK, Canada
| |
Collapse
|