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Lore S, Poganik JR, Atala A, Church G, Gladyshev VN, Scheibye-Knudsen M, Verdin E. Replacement as an aging intervention. NATURE AGING 2025:10.1038/s43587-025-00858-6. [PMID: 40341243 DOI: 10.1038/s43587-025-00858-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Accepted: 03/27/2025] [Indexed: 05/10/2025]
Abstract
Substantial progress in aging research continues to deepen our understanding of the fundamental mechanisms of aging, yet there is a lack of interventions conclusively shown to attenuate the processes of aging in humans. By contrast, replacement interventions such as joint replacements, pacemaker devices and transplant therapies have a long history of restoring function in injury or disease contexts. Here, we consider biological and synthetic replacement-based strategies as aging interventions. We discuss innovations in tissue engineering, such as the use of scaffolds or bioprinting to generate functional tissues, methods for enhancing donor-recipient compatibility through genetic engineering and recent progress in both cell therapies and xenotransplantation strategies. We explore synthetic approaches including prostheses, external devices and brain-machine interfaces. Additionally, we evaluate the evidence from heterochronic parabiosis experiments in mice and donor-recipient age-mismatched transplants to consider whether systemic benefits could result from personalized replacement approaches. Finally, we outline key challenges and future directions required to advance replacement therapies as viable, scalable and ethical interventions for aging.
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Affiliation(s)
- Sierra Lore
- Buck Institute for Research on Aging, Novato, CA, USA
- University of Copenhagen, København, Denmark
| | - Jesse R Poganik
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Anthony Atala
- Wake Forest Institute for Regenerative Medicine, Winston-Salem, NC, USA
| | - George Church
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Vadim N Gladyshev
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Eric Verdin
- Buck Institute for Research on Aging, Novato, CA, USA.
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2
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Velickovic M, Turner TR. Novel HLA-A, -B, -C and -DRB1 alleles identified in the Australian New South Wales tissue typing laboratory. Hum Immunol 2025; 86:111275. [PMID: 40132251 DOI: 10.1016/j.humimm.2025.111275] [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] [Received: 12/22/2024] [Revised: 02/25/2025] [Accepted: 03/05/2025] [Indexed: 03/27/2025]
Abstract
HLA compatibility between patients and donors is a determining factor for the success of stem cell and solid organ transplantations. However, finding suitable donors remains challenging due to the highly polymorphic nature of HLA genes. Here we are describing 16 novel HLA-A, -B, -C and -DRB1 alleles identified over the period of 2 years. Fourteen differed from their closest reference allele sequence by single nucleotide substitutions detected in the coding regions and 13 contained polymorphism outside antigen recognition domains (exons 2 and 3 in class I and exon 2 in HLA class II). Two novel alleles, a non-sense substitution and a deletion of 2 bp resulted in two null alleles, while a substitution in a splice site resulted in an allele with questionable expression status. In HLA matching procedures, particularly in donor selection, it is important to determine alternatively expressed HLA alleles. Thirteen additional HLA-A, -B, -C and -DRB1 alleles detected as novel at the time of testing were already reported by other laboratories by the time of submission.
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Affiliation(s)
- Marija Velickovic
- New South Wales Transplantation and Immunogenetics Services Pathology and Clinical Governance, Australian Red Cross Lifeblood, Sydney, Australia.
| | - Thomas R Turner
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK; UCL Cancer Institute, Royal Free Campus, London, UK
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3
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Altundaş N, Balkan E, Kizilkaya M, Aksungur N, Kara S, Demirci E, Korkut E, Öztürk G, Dursun H. Effects of de novo donor-specific Class I and II antibodies on graft outcomes after liver transplantation: A pilot cohort study. Open Life Sci 2025; 20:20251078. [PMID: 40129472 PMCID: PMC11931657 DOI: 10.1515/biol-2025-1078] [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: 10/16/2024] [Revised: 01/17/2025] [Accepted: 02/11/2025] [Indexed: 03/26/2025] Open
Abstract
This study investigates the role of donor-specific antibodies (DSAs) in liver transplantation outcomes, focusing on their effects on liver damage. Ninety-four patients who underwent liver transplantation between 2019 and 2024 at Atatürk University were included. DSA testing was performed using the Luminex QIAGEN LifeCodes method. Patient demographic data, laboratory results, clinical conditions, and biopsy findings were analyzed. Disease-specific analyses were conducted for Wilson's disease, autoimmune hepatitis, hepatocellular carcinoma (HCC), and hepatitis B virus (HBV). Due to the limited sample size, larger validation studies are needed, and the impact of the COVID-19 pandemic on the data collection process was considered. At the end of 1 year, persistent DSA had no significant effect on liver damage. However, early DSA positivity, particularly persistence and titration, requires further investigation. In Wilson's disease, two DSA-positive patients (mean fluorescence intensity [MFI] 1,000-1,500) showed no damage. Among autoimmune hepatitis patients, 5 of 19 were DSA positive (MFI 1,700-5,600), with no detected damage. Four HCC patients were DSA positive (MFI 1,300-2,200). Among HBV patients, 12 of 31 were DSA positive, and 5 experienced liver damage. Tacrolimus levels in the third month were statistically associated with bilirubin levels. Prospective studies are needed to further clarify the clinical significance of DSA.
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Affiliation(s)
- Necip Altundaş
- Department of General Surgery, Atatürk University, 25240, Erzurum, Turkey
| | - Eda Balkan
- Department of Medical Biology, Faculty of Medicine, Atatürk University, 21 Lalapaşa, 25240, Erzurum, Turkey
| | - Murat Kizilkaya
- Department of Medical Biology, Faculty of Medicine, Atatürk University, 21 Lalapaşa, 25240, Erzurum, Turkey
| | - Nurhak Aksungur
- Department of General Surgery, Atatürk University, 25240, Erzurum, Turkey
| | - Salih Kara
- Department of General Surgery, Atatürk University, 25240, Erzurum, Turkey
| | - Elif Demirci
- Department of Pathology, Atatürk University, 25240, Erzurum, Turkey
| | - Ercan Korkut
- Department of General Surgery, Atatürk University, 25240, Erzurum, Turkey
| | - Gürkan Öztürk
- Department of General Surgery, Atatürk University, 25240, Erzurum, Turkey
| | - Hakan Dursun
- Department of Internal Medicine, Atatürk University, 25240, Erzurum, Turkey
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4
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Kim J, Nam Y, Jeon D, Choi Y, Choi S, Hong CP, Kim S, Jung H, Park N, Sohn Y, Rim YA, Ju JH. Generation of hypoimmunogenic universal iPS cells through HLA-type gene knockout. Exp Mol Med 2025; 57:686-699. [PMID: 40087529 PMCID: PMC11958689 DOI: 10.1038/s12276-025-01422-3] [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: 05/01/2024] [Revised: 10/20/2024] [Accepted: 12/16/2024] [Indexed: 03/17/2025] Open
Abstract
Hypoimmunogenic universal induced pluripotent stemn (iPS) cells were generated through the targeted disruption of key genes, including human leukocyte antigen (HLA)-A, HLA-B and HLA-DR alpha (DRA), using the CRISPR-Cas9 system. This approach aimed to minimize immune recognition and enhance the potential of iPS cells for allogeneic therapy. Heterozygous iPS cells were used for guide RNA design and validation to facilitate the knockout (KO) of the HLA-A, HLA-B and HLA-DRA genes. The electroporation of iPS cells using the selected guide RNAs enabled the generation of triple-KO iPS cells, followed by single-cell cloning for clone selection. Clone A7, an iPS cell with targeted KOs of the HLA-A, HLA-B and HLA-DRA genes, was identified as the final candidate. Messenger RNA analysis revealed robust expression of pluripotency markers, such as octamer-binding transcription factor 4, sex-determining region Y box 2, Krüppel-like factor 4, Lin-28 homolog A and Nanog homeobox, while protein expression assays confirmed the presence of octamer-binding transcription factor 4, stage-specific embryonic antigen 4, Nanog homeobox and tumor rejection antigen 1-60. A karyotype examination revealed no anomalies, and three-germ layer differentiation assays confirmed the differentiation potential. After interferon gamma stimulation, the gene-corrected clone A7 lacked HLA-A, HLA-B and HLA-DR protein expression. Immunogenicity testing further confirmed the hypoimmunogenicity of clone A7, which was evidenced by the absence of proliferation in central memory T cells and effector memory T cells. In conclusion, clone A7, a triple-KO iPS cell clone that demonstrates immune evasion properties, retained its intrinsic iPS cell characteristics and exhibited no immunogenicity.
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Affiliation(s)
| | - Yoojun Nam
- YiPSCELL Inc., Seoul, Republic of Korea
- Department of Biohealth Regulatory Science, Sungkyunkwan University, Suwon, Republic of Korea
| | | | | | | | | | | | | | | | - Yeowon Sohn
- Department of Biohealth Regulatory Science, Sungkyunkwan University, Suwon, Republic of Korea
| | - Yeri Alice Rim
- CiSTEM Laboratory, Convergent Research Consortium for Immunologic Disease, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
| | - Ji Hyeon Ju
- YiPSCELL Inc., Seoul, Republic of Korea.
- CiSTEM Laboratory, Convergent Research Consortium for Immunologic Disease, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
- Division of Rheumatology, Department of Internal Medicine, Seoul St. Mary's Hospital, Institute of Medical Science, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
- Department of Biomedicine and Health Sciences, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
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5
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Ceccotti E, Semnani A, Bussolati B, Bruno S. Human kidney organoids for modeling the development of different diseases. Curr Top Dev Biol 2025; 163:364-393. [PMID: 40254349 DOI: 10.1016/bs.ctdb.2024.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2025]
Abstract
The increasing incidence of kidney diseases has highlighted the need for in vitro experimental models to mimic disease development and to test new therapeutic approaches. Traditional two-dimensional in vitro experimental models are not fully able to recapitulate renal diseases. Instead, kidney organoids represent three-dimensional models that better mimic the human organ from both structural and functional points of view. Human pluripotent stem cells (PSCs), both embryonic and induced, are ideal sources for generating renal organoids. These organoids contain all renal cell types and the protocols to differentiate PSCs into renal organoids consist of three different stages that recapitulate embryonic development: mesodermal induction, nephron progenitor formation, and nephron differentiation. Recently it has been establish a renal organoid model where collecting ducts are also present. In this case, the presence of ureteric bud progenitor cells is essential. Renal organoids are particularly useful for studying genetic diseases, by introducing the specific mutations in PSCs by genome editing or generating organoids from patient-derived PSCs. Moreover, renal organoids represent promising models in toxicology studies and testing new therapeutic approaches. Renal organoids can be established also from adult stem cells. This type of organoid, named tubuloid, is composed only of epithelial cells and recapitulates the tissue repair process. The tubuloids can be generated from adult stem or progenitor cells, obtained from renal biopsies or urine, and are promising in vitro models for studying tubular functions, diseases, and regeneration. Tubuloids can be derived from patients and permit the study of genetic diseases, performing personalized drug screening and modeling renal pathologies.
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Affiliation(s)
- Elena Ceccotti
- Department of Medical Sciences, University of Torino, Corso Dogliotti, Torino, Italy
| | - Armina Semnani
- Department of Medical Sciences, University of Torino, Corso Dogliotti, Torino, Italy
| | - Benedetta Bussolati
- Department of Medical Sciences, University of Torino, Corso Dogliotti, Torino, Italy; Molecular Biotechnology Center "Guido Tarone", Via Nizza, Torino, Italy
| | - Stefania Bruno
- Department of Medical Sciences, University of Torino, Corso Dogliotti, Torino, Italy.
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6
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Liu Y, Feng H, Li K, Li R, Zhang XJ, Tian Y, Fang Y, Zhou Y, Liu L, Zhang X. Donor MHC-specific thymus vaccination allows for immunocompatible allotransplantation. Cell Res 2025; 35:132-144. [PMID: 39748049 PMCID: PMC11770082 DOI: 10.1038/s41422-024-01049-5] [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: 03/11/2024] [Accepted: 10/17/2024] [Indexed: 01/04/2025] Open
Abstract
Organ transplantation is the last-resort option to treat organ failure. However, less than 10% of patients benefit from this only option due to lack of major histocompatibility complex (MHC)-matched donor organs and 25%-80% of donated organs could not find MHC-matched recipients. T cell allorecognition is the principal mechanism for allogeneic graft rejection. We herein present a "donor MHC-specific thymus vaccination" (DMTV) strategy to induce T cell tolerance to both autologous and allogeneic donor MHC. Allogeneic MHC molecules were expressed in the recipient thymus through adeno-associated virus-mediated delivery, which led to stable expression of allogeneic MHC together with the autologous MHC in the engineered thymus. During local T cell education, those T cells recognizing either autologous MHC or allogeneic MHC were equally depleted. We constructed C57BL/6-MHC and BALB/c-MHC dual immunocompatible mice via thymus vaccination of C57BL/6-MHC into the BALB/c thymus and observed long-term graft tolerance after transplantation of C57BL/6 skin and C57BL/6 mouse embryonic stem cells into the vaccinated BALB/c mice. We also validated our DMTV strategy in a bone marrow, liver, thymus (BLT)-humanized mouse model for immunocompatible allotransplantation of human embryonic stem cells. Our study suggests that the DMTV strategy is a potent avenue to introduce a donor compatible immune system in recipients, which overcomes the clinical dilemma of the extreme shortage of MHC-matched donor organs for treating patients with end-stage organ failure.
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Affiliation(s)
- Yang Liu
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, China
- Stem Cell Research Center and Key Laboratory of Neuroregeneration of Shanghai Universities, School of Medicine, Tongji University, Shanghai, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, Shanghai, China
| | - Hexi Feng
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, China
- Stem Cell Research Center and Key Laboratory of Neuroregeneration of Shanghai Universities, School of Medicine, Tongji University, Shanghai, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, Shanghai, China
| | - Ke Li
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, China
- Stem Cell Research Center and Key Laboratory of Neuroregeneration of Shanghai Universities, School of Medicine, Tongji University, Shanghai, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, Shanghai, China
| | - Ruiyi Li
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, China
- Stem Cell Research Center and Key Laboratory of Neuroregeneration of Shanghai Universities, School of Medicine, Tongji University, Shanghai, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, Shanghai, China
| | - Xiao-Jie Zhang
- Department of Gynaecology, Jing'an District Hospital of Traditional Chinese Medicine, Shanghai, China
| | - Ye Tian
- School of Foreign Studies, Tongji University, Shanghai, China
| | - Yujiang Fang
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, China
- Stem Cell Research Center and Key Laboratory of Neuroregeneration of Shanghai Universities, School of Medicine, Tongji University, Shanghai, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, Shanghai, China
| | - Yanjie Zhou
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, China
- Stem Cell Research Center and Key Laboratory of Neuroregeneration of Shanghai Universities, School of Medicine, Tongji University, Shanghai, China
- Clinical Center for Brain and Spinal Cord Research, Tongji University, Shanghai, China
| | - Ling Liu
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, China.
- Stem Cell Research Center and Key Laboratory of Neuroregeneration of Shanghai Universities, School of Medicine, Tongji University, Shanghai, China.
- Clinical Center for Brain and Spinal Cord Research, Tongji University, Shanghai, China.
| | - Xiaoqing Zhang
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, China.
- Stem Cell Research Center and Key Laboratory of Neuroregeneration of Shanghai Universities, School of Medicine, Tongji University, Shanghai, China.
- Clinical Center for Brain and Spinal Cord Research, Tongji University, Shanghai, China.
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, Shanghai, China.
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7
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Qimudesiren, Chen SN, Qian LR. Human leukocyte antigen and donor-specific antibodies in liver transplantation. World J Gastroenterol 2025; 31:101620. [PMID: 39811509 PMCID: PMC11684192 DOI: 10.3748/wjg.v31.i2.101620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 10/26/2024] [Accepted: 11/21/2024] [Indexed: 12/18/2024] Open
Abstract
In this article, we comment on an article published in a recent issue of the World Journal of Gastroenterology. We specifically focus on the roles of human leukocyte antigen (HLA) and donor-specific antibodies (DSAs) in pediatric liver transplantation (LT), as well as the relationship between immune rejection after LT and DSA. Currently, LT remains the standard of care for pediatric patients with end-stage liver disease or severe acute liver failure. However, acute and chronic rejection continues to be a significant cause of graft dysfunction and loss. HLA mismatch significantly reduces graft survival and increases the risk of acute rejection. Among them, D→R one-way mismatch at three loci was significantly related to graft-versus-host disease incidence after LT. The adverse impact of HLA-DSAs on LT recipients is already established. Therefore, the evaluation of HLA and DSA is crucial in pediatric LT.
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Affiliation(s)
- Qimudesiren
- School of Clinical Medicine, Inner Mongolia Minzu University, Tongliao 028000, Inner Mongolia Autonomous Region, China
| | - Sha-Na Chen
- Department of Hematology, International Mongolian Hospital of Inner Mongolia, Hohhot 010065, Inner Mongolia Autonomous Region, China
| | - Li-Ren Qian
- Senior Department of Hematology, The Fifth Medical Center of PLA General Hospital, Beijing 100071, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China
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8
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Arias-Murillo YR, Salinas-Nova MA, Toloza-Pérez YG, Castro-Jiménez MÁ. Ten years of the immunogenetics laboratory performance assessment programme and its impact on the donor and transplant network. BIOMEDICA : REVISTA DEL INSTITUTO NACIONAL DE SALUD 2024; 44:155-167. [PMID: 39836833 PMCID: PMC11991689 DOI: 10.7705/biomedica.7589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 10/10/2024] [Indexed: 01/23/2025]
Abstract
Introduction. The use of immunological tests before solid organ transplantation is essential to reduce the risk of rejection and post-transplant complications. Therefore, quality control systems in laboratories performing them are necessary for clinical practice. The Colombian Instituto Nacional de Salud implemented the external evaluation program of transplant immunogenetics laboratory performance in 2014. Objective. To evaluate the performance of the laboratories that carried out five of the immunological tests for transplants in Colombia between 2014 and 2023, according to information from the external evaluation program of transplant immunogenetics laboratory performance. Materials and methods. We conducted a study of laboratory performance considering five immunological tests for transplantation: HLA, qualitative and quantitative PRA (Panel Reactive Antibodies), isolated antigen, and cross-matching tests. We collected data from reports of each laboratory. Based on the comparisons between laboratories, their performance was rated as “good”, “acceptable”, or “unacceptable” for each test. We calculated proportions and an analysis of predicted values with a 95% confidence interval. Results. The number of participating laboratories varied between 5 and 12, depending on the test. The proportion of laboratories with “good” performance was lower in the first year. The best performance was for qualitative PRA, rated as good in all the laboratories for eight years. In HLA (2014), qualitative PRA (2017 and 2019), crossmatch tests (2019), and single antigen (2017 and 2019) tests, the laboratories had a lower percentage of “good” performance than expected. Conclusion. “Good” performance was observed in all the laboratories in each test during the last three years, except for HLA and quantitative PRA.
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Affiliation(s)
- Yazmín Rocío Arias-Murillo
- Grupo Red de Donación y Trasplantes, Instituto Nacional de Salud, Bogotá, D. C., ColombiaInstituto Nacional de SaludGrupo Red de Donación y TrasplantesInstituto Nacional de SaludBogotá, D. C.Colombia
| | - María Angélica Salinas-Nova
- Grupo Red de Donación y Trasplantes, Instituto Nacional de Salud, Bogotá, D. C., ColombiaInstituto Nacional de SaludGrupo Red de Donación y TrasplantesInstituto Nacional de SaludBogotá, D. C.Colombia
| | - Yesith Guillermo Toloza-Pérez
- Programa de Entrenamiento en Epidemiología de Campo - FETP, Instituto Nacional de Salud, Bogotá, D. C., ColombiaInstituto Nacional de SaludPrograma de Entrenamiento en Epidemiología de Campo - FETPInstituto Nacional de SaludBogotá, D. C.Colombia
| | - Miguel Ángel Castro-Jiménez
- Grupo Red de Donación y Trasplantes, Instituto Nacional de Salud, Bogotá, D. C., ColombiaInstituto Nacional de SaludGrupo Red de Donación y TrasplantesInstituto Nacional de SaludBogotá, D. C.Colombia
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9
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Tao S, You X, Chen N, Dong L, Zhao S, He Y, Zhang W, Zhu F. The characteristic of HLA-A, HLA-B, HLA-C, HLA-DRB1, HLA-DRB3/4/5, HLA-DQA1, HLA-DQB1, HLA-DPA1, and HLA-DPB1 alleles in Zhejiang Han population. Immunogenetics 2024; 76:305-314. [PMID: 39107575 DOI: 10.1007/s00251-024-01349-5] [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] [Received: 04/24/2024] [Accepted: 07/17/2024] [Indexed: 10/23/2024]
Abstract
The Zhejiang Han population, a subgroup of the Southern Han ethnic group, resides in Zhejiang Province, situated on the southeast coast of China. In this study, we conducted HLA genotyping for 813 voluntary umbilical cord blood donors from the Zhejiang Han population, targeting 11 HLA loci, namely HLA-A, HLA-B, HLA-C, HLA-DRB1, HLA-DRB3/4/5, HLA-DQA1, HLA-DQB1, HLA-DPA1, and HLA-DPB1, using the next-generation sequencing method. Our analysis of the alleles and haplotypes revealed a high degree of polymorphism within these loci. A total of 289 unique HLA alleles were identified, with the HLA-B locus exhibiting the most significant diversity, while HLA-DRB4 displayed the lowest variation. Due to the inherent limitations of the sequencing method, some unresolvable alleles in the specific loci, such as HLA-DRB1, HLA-DPA1, and HLA-DPB1, were assigned as G group designation. In our comprehensive analysis across all 11 HLA loci, a total of 1204 haplotypes were estimated. The distribution of these alleles was similar to those of the Chinese Southern Han population while highly different from the Caucasian population. These findings contribute to a deeper understanding of the genetic characteristics of HLA loci within the Chinese Southern Han population.
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Affiliation(s)
- Sudan Tao
- HLA Typing Laboratory, Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Xuan You
- HLA Typing Laboratory, Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Nanying Chen
- HLA Typing Laboratory, Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Lina Dong
- HLA Typing Laboratory, Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Shuoxian Zhao
- HLA Typing Laboratory, Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Yizhen He
- HLA Typing Laboratory, Blood Center of Zhejiang Province, Hangzhou, China
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Wei Zhang
- HLA Typing Laboratory, Blood Center of Zhejiang Province, Hangzhou, China.
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China.
| | - Faming Zhu
- HLA Typing Laboratory, Blood Center of Zhejiang Province, Hangzhou, China.
- Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China.
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10
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Velickovic M, Turner TR, Cooper MA, Hopper SJF. Novel HLA-DQB1, DQA1, DPA1 and DPB1 alleles identified in the Australian New South Wales tissue typing laboratory. Hum Immunol 2024; 85:111171. [PMID: 39488996 DOI: 10.1016/j.humimm.2024.111171] [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] [Received: 08/12/2024] [Revised: 10/13/2024] [Accepted: 10/26/2024] [Indexed: 11/05/2024]
Abstract
Introduction of NGS into clinical histocompatibility laboratories has greatly increased the frequency of novel HLA allele discovery. We identified 9 DQA1, 7 DQB1, 8 DPA1 and 2 DPB1 novel alleles over the last 2 years. 92% (24 of 26) differed from their closest allele by single nucleotide substitutions detected in coding regions and 84% (22 of 26) contained polymorphism outside of exon 2. Identification of novel alleles in non-coding intronic regions were restricted to splice sites. Two novel alleles arising from nucleotide substitution affecting splicing were identified and named with questionable expression status. Novel alleles with polymorphism detected only in non-coding regions (introns and UTRs) were not reported. 21 additional DQA1, DQB1 and DPA1 alleles detected in multiple individuals as novel at the time of testing, were also detected in other laboratories. The number of novel alleles detected further emphasises the role of NGS in novel allele discovery.
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Affiliation(s)
- Marija Velickovic
- New South Wales Transplantation and Immunogenetics Services Pathology and Clinical Governance, Australian Red Cross Lifeblood, Sydney, Australia.
| | - Thomas R Turner
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK; UCL Cancer Institute, Royal Free Campus, London, UK
| | - Michael A Cooper
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK
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11
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Borges TJ, Ganchiku Y, Aceves JO, van Gaal R, Uzel SG, Rosales IA, Rubins JE, Kobayashi K, Hiratsuka K, Tekguc M, Ribas GT, Lima K, Gassen RB, Morizane R, Lewis JA, Riella LV. Exploring immune response toward transplanted human kidney tissues assembled from organoid building blocks. iScience 2024; 27:110957. [PMID: 39398250 PMCID: PMC11471229 DOI: 10.1016/j.isci.2024.110957] [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: 09/11/2023] [Revised: 08/06/2024] [Accepted: 09/10/2024] [Indexed: 10/15/2024] Open
Abstract
The increasing scarcity of organs and the significant morbidity linked to dialysis require the development of engineered kidney tissues from human-induced pluripotent stem cells. Integrative approaches that synergize scalable kidney organoid differentiation, tissue biomanufacturing, and comprehensive assessment of their immune response and host integration are essential to accomplish this. Here, we create engineered human kidney tissues composed of organoid building blocks (OBBs) and transplant them into mice reconstituted with allogeneic human immune cells. Tissue-infiltrating human immune cells are composed of effector T cells and innate cells. This immune infiltration leads to kidney tissue injury characterized by reduced microvasculature, enhanced kidney cell apoptosis, and an inflammatory gene signature comparable to kidney organ transplant rejection in humans. Upon treatment with the immunosuppressive agent rapamycin, the induced immune response is greatly suppressed. Our model is a translational platform to study engineered kidney tissue immunogenicity and develop therapeutic targets for kidney rejection.
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Affiliation(s)
- Thiago J. Borges
- Center for Transplantation Sciences, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
| | - Yoshikazu Ganchiku
- Center for Transplantation Sciences, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
| | - Jeffrey O. Aceves
- Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United states
| | - Ronald van Gaal
- Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United states
| | - Sebastien G.M. Uzel
- Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United states
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, United states
| | - Ivy A. Rosales
- Center for Transplantation Sciences, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United states
| | - Jonathan E. Rubins
- Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United states
| | - Kenichi Kobayashi
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, United states
- Nephrology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
| | - Ken Hiratsuka
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, United states
- Nephrology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
| | - Murat Tekguc
- Nephrology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
- Harvard Stem Cell Institute (HSCI), Cambridge, MA, United states
| | - Guilherme T. Ribas
- Center for Transplantation Sciences, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
| | - Karina Lima
- Center for Transplantation Sciences, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
| | - Rodrigo B. Gassen
- Center for Transplantation Sciences, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
| | - Ryuji Morizane
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, United states
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United states
- Nephrology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
| | - Jennifer A. Lewis
- Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United states
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, United states
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United states
| | - Leonardo V. Riella
- Center for Transplantation Sciences, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United states
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12
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Chen SP, Lin PY, Yang KL. Recognition of HLA-DPB1 alleles and their associated HLA haplotypes in 55 randomized unrelated Taiwanese individuals. Tzu Chi Med J 2024; 36:407-411. [PMID: 39421498 PMCID: PMC11483097 DOI: 10.4103/tcmj.tcmj_68_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 04/18/2024] [Accepted: 05/10/2024] [Indexed: 10/19/2024] Open
Abstract
Objectives Here, we report the distribution of HLA-DPB1 alleles studied in a cohort of 55 randomly collected blood samples from unrelated Taiwanese individuals and the deduced most likely HLA haplotypes associated with the defined DPB1 alleles in the cohort. Our aim is to reveal the unprecedented data on the distribution of HLA-DPB1 alleles in the Taiwanese population and to find out the most probable HLA haplotypes associated with the HLA-DPB1 alleles detected. Materials and Methods The material for this study was blood samples, preserved in K2EDTA and/or acid citrate dextrose anticoagulants. The blood donors were voluntary individuals of Tzu Chi Bone Marrow Donor Registry, Tzu Chi Stem Cells Center, Hualien Tzu Chi Hospital. Sequence-based typing of the Sanger's sequencing method was performed for the HLA allelic typing. To discern the HLA-DPB1 alleles, exons 2 and 3 of the HLA-DPB1 locus were sequenced. Target exon sequence amplifications were achieved by polymerase chain reaction, and the resulting amplicons were sequenced by BigDye Terminator Cycle Sequencing Ready Reaction Kit according to the manufacturer's protocols. Results In the total number of 55 randomized unrelated Taiwanese individuals studied, we detected 11 different HLA-DPB1 alleles. DPB1*05:01 (44.54%) was the allele with the highest frequency observed and the next highest frequency allele found was DPB1*02:01 (17.27%), while DPB1*38:01 (0.90%) and DPB1*700:01N (0.90%) ranked the least observed DPB1 alleles. Conclusion Our findings in this study may be useful in researches reinforcing the comprehensive understanding on the distribution of DPB1 alleles and their associated HLA haplotypes and their clinical applications in Taiwanese.
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Affiliation(s)
- Shee-Ping Chen
- Laboratory of Immunogenetics, Tzu Chi Cord Blood Bank, and Buddhist Tzu Chi Bone Marrow Donor Registry, Buddhist Tzu Chi Stem Cells Centre, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan
| | - Py-Yu Lin
- Laboratory of Immunogenetics, Tzu Chi Cord Blood Bank, and Buddhist Tzu Chi Bone Marrow Donor Registry, Buddhist Tzu Chi Stem Cells Centre, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan
| | - Kuo-Liang Yang
- Laboratory of Immunogenetics, Tzu Chi Cord Blood Bank, and Buddhist Tzu Chi Bone Marrow Donor Registry, Buddhist Tzu Chi Stem Cells Centre, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan
- Department of Laboratory Medicine and Biotechnology, Tzu Chi University, Hualien, Taiwan
- Institute of Medical Sciences, Tzu Chi University, Hualien, Taiwan
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13
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Guo H, Guo L, Wang B, Jiang X, Wu Z, Mo X, Sun Y, Zhang Y, Wang Z, Kong J, Yan C, Huang X. Distinct Immune Homeostasis Remodeling Patterns after HLA-Matched and Haploidentical Transplantation. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2400544. [PMID: 39225336 PMCID: PMC11497014 DOI: 10.1002/advs.202400544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 07/21/2024] [Indexed: 09/04/2024]
Abstract
Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a widely used treatment for a variety of hematopoietic disorders, and also provides a valuable platform for investigating the development of donor-derived immune cells in recipients post-HSCT. The immune system remodels from the donor to the recipient during allo-HSCT. However, little is known about the cell profile alterations as donor homeostasis rebalances to recipient homeostasis following HSCT. Here, multi-omics technology is applied at both the single cell and bulk sample levels, as well as spectrum flow cytometry and fluorescent transgenic mouse models, to dissect the dynamics of the rebalanced homeostatic immune system in recipients after allo-HSCT. The data reveal that all immune subpopulations observed in donors are successfully restored in recipients, though with varying levels of abundance. The remodeling of immune homeostasis exhibits different patterns in HLA-matched and haploidentical HSCT, highlighting distinct biases in T cell reconstitution from the central and peripheral pathways. Furthermore, ZNF683 is critical for maintaining the persistence and quiescence of CD8 T-cell in haploidentical HSCT. The research can serve as a foundation for developing novel strategies to induce immune tolerance.
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Affiliation(s)
- Huidong Guo
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
| | - Liping Guo
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
| | - Bixia Wang
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
| | - Xinya Jiang
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic MalignanciesChinese Academy of Medical SciencesBeijing2019RU029China
| | - Zhigui Wu
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
- Peking‐Tsinghua Center for Life SciencesAcademy for Advanced Interdisciplinary StudiesPeking UniversityBeijing100871China
| | - Xiao‐Dong Mo
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
| | - Yu‐Qian Sun
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
| | - Yuan‐Yuan Zhang
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
| | - Zhi‐Dong Wang
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
| | - Jun Kong
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
| | - Chen‐Hua Yan
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
| | - Xiao‐Jun Huang
- National Clinical Research Center for Hematologic DiseaseBeijing Key Laboratory of Hematopoietic Stem Cell TransplantationPeking University People's HospitalPeking University Institute of HematologyPeking UniversityBeijing100044China
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic MalignanciesChinese Academy of Medical SciencesBeijing2019RU029China
- Peking‐Tsinghua Center for Life SciencesAcademy for Advanced Interdisciplinary StudiesPeking UniversityBeijing100871China
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14
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El-Lagta N, Truong L, Ayora F, Mobegi F, Bruce S, Martinez P, D'Orsogna L, De Santis D. Revolutionising High Resolution HLA Genotyping for Transplant Assessment: Validation, Implementation and Challenges of Oxford Nanopore Technologies' Q20 + Sequencing. HLA 2024; 104:e15725. [PMID: 39435968 DOI: 10.1111/tan.15725] [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] [Received: 05/29/2024] [Revised: 09/24/2024] [Accepted: 10/01/2024] [Indexed: 10/23/2024]
Abstract
The advent of third-generation sequencing (TGS) represents a significant shift in the field of genetic sequencing, enabling single-molecule sequencing to overcome limitations of short-read NGS platforms. Several studies have assessed the utilisation of TGS in HLA genotyping, though many of these studies have described the high error rate as an obstacle to achieving a robust and highly accurate HLA typing assay. In 2021, Oxford Nanopore Technologies (ONT) released the high-accuracy sequencing Kit 14 and the MinION flow cell model R10.4.1, which were reported to achieve sequencing accuracies up to 99%. The aim of this study was to validate this novel high-accuracy sequencing kit for HLA genotyping coupled with a full-gene HLA PCR assay. Comparison with historical data obtained using legacy flow cell models such as R9.4, R10.3 and R10.4 was also done to assess progressive improvement in sequencing performance with each sequential release. The workflow was validated based on data throughput, sequence quality and accuracy, and HLA genotyping resolution. An initial validation was performed using an internal reference panel of 42 samples representing common HLA allele groups, followed by an analysis of data obtained from 111 sequencing batch runs since the implementation, to assess assay performance and define quality control metrics to assess inter-run variability and monitor quality. Furthermore, challenges arising from MinION flow cell stability and use, and assessment of barcode contamination are discussed. The findings of this study highlight advantages of ONT sequencing kit 14/R10.4.1 for HLA genotyping and the implementation considerations for the routine diagnostic HLA laboratory.
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Affiliation(s)
- Naser El-Lagta
- Department of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Perth, Australia
- School of Biomedical Sciences, the University of Western Australia, Perth, Australia
| | - Linh Truong
- Department of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Perth, Australia
| | - Felipe Ayora
- Research and Advanced Computing, BizData, Wellington, New Zealand
| | - Fredrick Mobegi
- Department of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Perth, Australia
- School of Biomedical Sciences, the University of Western Australia, Perth, Australia
| | - Samuel Bruce
- Department of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Perth, Australia
| | - Patricia Martinez
- Department of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Perth, Australia
- The University of Western Australia Medical School, The University of Western Australia, Perth, Australia
| | - Lloyd D'Orsogna
- Department of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Perth, Australia
- The University of Western Australia Medical School, The University of Western Australia, Perth, Australia
| | - Dianne De Santis
- Department of Clinical Immunology, PathWest Laboratory Medicine WA, Fiona Stanley Hospital, Perth, Australia
- School of Biomedical Sciences, the University of Western Australia, Perth, Australia
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15
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Liu F, Romee R. A one-way street recognition approach to mediate allogeneic immune cell therapies. Cell Stem Cell 2024; 31:1239-1240. [PMID: 39241752 DOI: 10.1016/j.stem.2024.07.005] [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: 07/16/2024] [Revised: 07/18/2024] [Accepted: 07/23/2024] [Indexed: 09/09/2024]
Abstract
CD54 and CD58 are adhesion proteins that mediate efficient immune synapse formation. Hammer et al. now show that the abrogation of these molecules in T and NK cells prevents their immune rejection while maintaining their effector function. These findings should significantly help advance our efforts to generate "off-the-shelf" allogeneic products.
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Affiliation(s)
- Fuguo Liu
- Division of Transplantation and Cellular Therapies, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Rizwan Romee
- Division of Transplantation and Cellular Therapies, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
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16
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Sun R, Wang N, Zheng S, Wang H, Xie H. Nanotechnology-based Strategies for Molecular Imaging, Diagnosis, and Therapy of Organ Transplantation. Transplantation 2024; 108:1730-1748. [PMID: 39042368 DOI: 10.1097/tp.0000000000004913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Organ transplantation is the preferred paradigm for patients with end-stage organ failures. Despite unprecedented successes, complications such as immune rejection, ischemia-reperfusion injury, and graft dysfunction remain significant barriers to long-term recipient survival after transplantation. Conventional immunosuppressive drugs have limited efficacy because of significant drug toxicities, high systemic immune burden, and emergence of transplant infectious disease, leading to poor quality of life for patients. Nanoparticle-based drug delivery has emerged as a promising medical technology and offers several advantages by enhancing the delivery of drug payloads to their target sites, reducing systemic toxicity, and facilitating patient compliance over free drug administration. In addition, nanotechnology-based imaging approaches provide exciting diagnostic methods for monitoring molecular and cellular changes in transplanted organs, visualizing immune responses, and assessing the severity of rejection. These noninvasive technologies are expected to help enhance the posttransplantation patient survival through real time and early diagnosis of disease progression. Here, we present a comprehensive review of nanotechnology-assisted strategies in various aspects of organ transplantation, including organ protection before transplantation, mitigation of ischemia-reperfusion injury, counteraction of immune rejection, early detection of organ dysfunction posttransplantation, and molecular imaging and diagnosis of immune rejection.
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Affiliation(s)
- Ruiqi Sun
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Province, Hangzhou, China
- NHC Key Laboratory of Combined Multi-organ Transplantation, Zhejiang Province, Hangzhou, China
- Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, CAMS, Zhejiang Province, Hangzhou, China
- Key Laboratory of Organ Transplantation, Zhejiang Province, Hangzhou, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Zhejiang Province, Hangzhou, China
| | - Ning Wang
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Province, Hangzhou, China
- NHC Key Laboratory of Combined Multi-organ Transplantation, Zhejiang Province, Hangzhou, China
- Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, CAMS, Zhejiang Province, Hangzhou, China
- Key Laboratory of Organ Transplantation, Zhejiang Province, Hangzhou, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Zhejiang Province, Hangzhou, China
| | - Shusen Zheng
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Province, Hangzhou, China
- NHC Key Laboratory of Combined Multi-organ Transplantation, Zhejiang Province, Hangzhou, China
- Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, CAMS, Zhejiang Province, Hangzhou, China
- Key Laboratory of Organ Transplantation, Zhejiang Province, Hangzhou, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Zhejiang Province, Hangzhou, China
| | - Hangxiang Wang
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Province, Hangzhou, China
- NHC Key Laboratory of Combined Multi-organ Transplantation, Zhejiang Province, Hangzhou, China
- Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, CAMS, Zhejiang Province, Hangzhou, China
- Key Laboratory of Organ Transplantation, Zhejiang Province, Hangzhou, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Zhejiang Province, Hangzhou, China
| | - Haiyang Xie
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Province, Hangzhou, China
- NHC Key Laboratory of Combined Multi-organ Transplantation, Zhejiang Province, Hangzhou, China
- Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, CAMS, Zhejiang Province, Hangzhou, China
- Key Laboratory of Organ Transplantation, Zhejiang Province, Hangzhou, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Zhejiang Province, Hangzhou, China
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17
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Sheng N, Zhao L, Pang S, Wang W, Feng P, Zhao J, Chen X, Gao Y. A Cost-Effective and Labor-Saving Method for Detecting Human Leukocyte Antigen B27 Status via Sequence-Encoded Fluorescence Amplification Assay. J Mol Diagn 2024; 26:574-582. [PMID: 38677547 DOI: 10.1016/j.jmoldx.2024.03.010] [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: 12/22/2023] [Revised: 02/09/2024] [Accepted: 03/19/2024] [Indexed: 04/29/2024] Open
Abstract
Identification of human leukocyte antigen B27 (HLA-B27) by flow cytometry (FCM) has been widely applied in clinical practice for auxiliary diagnosis of ankylosing spondylitis (AS). However, FCM requires freshly prepared samples and relies on expensive equipment, reagents, and an experienced operator. To provide a cheaper and more convenient method for HLA-B27 detection, we proposed a new method termed sequence-encoded fluorescence amplification assay (SEFA), which specially recognized sequences of HLA-B27 gene (HLA-B∗27) covering current common subtypes in a single closed tube. SEFA could detect as low as 10 pg (equal to 3 copies) genomic DNA per reaction and distinguish HLA-B∗27 from other HLA-B alleles with highly similar sequences. A total of 288 clinical samples were tested by SEFA, including 181 patients with AS and 107 healthy controls. Compared with the detection results from FCM, two controversial samples of patients with AS were obtained and further confirmed to be consistent with SEFA by Sanger sequencing, indicating that this method was more accurate than FCM. Moreover, SEFA could detect HLA-B27 status by using supernatant from crude extract of 10-μL blood without commercial reagents. Overall, SEFA has the potential to be an alternative for HLA-B27 identification with the advantage of convenience and low cost, especially suitable for early diagnosis of AS in areas with limited medical resources.
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Affiliation(s)
- Nan Sheng
- Institute of Experimental and Clinical Immunology, Nantong First People's Hospital and Affiliated Hospital 2 of Nantong University, Nantong, China; Department of Rheumatology, Nantong First People's Hospital and Nantong Hospital of Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Nantong, China
| | - Li Zhao
- Department of Laboratory Medicine, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China
| | - Shuyun Pang
- Institute of Experimental and Clinical Immunology, Nantong First People's Hospital and Affiliated Hospital 2 of Nantong University, Nantong, China; Department of Rheumatology, Nantong First People's Hospital and Nantong Hospital of Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Nantong, China
| | - Wenwen Wang
- Department of Rheumatology, Nantong First People's Hospital and Nantong Hospital of Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Nantong, China
| | - Panfeng Feng
- Department of Pharmacy, Nantong First People's Hospital and Nantong Hospital of Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Nantong, China
| | - Jing Zhao
- Department of Dermatology, Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China
| | - Xiaoxiang Chen
- Institute of Experimental and Clinical Immunology, Nantong First People's Hospital and Affiliated Hospital 2 of Nantong University, Nantong, China; Department of Rheumatology, Nantong First People's Hospital and Nantong Hospital of Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Nantong, China; Department of Rheumatology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
| | - Yingying Gao
- Department of Rheumatology, Nantong First People's Hospital and Nantong Hospital of Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Nantong, China.
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18
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Goto T, Nakamura Y, Ito Y, Miyagawa S. Regenerative medicine in cardiovascular disease. Regen Ther 2024; 26:859-866. [PMID: 39430582 PMCID: PMC11490749 DOI: 10.1016/j.reth.2024.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 09/04/2024] [Accepted: 09/11/2024] [Indexed: 10/22/2024] Open
Abstract
Owing to the rapid increase in the number of people with severe heart failure, regenerative medicine is anticipated to play a role in overcoming the limitations inherent in existing surgical interventions. There are essentially two types of cardiac regenerative therapies for a failing heart. Cellular regenerative therapies using various stem cells improve the functional recovery of the heart mainly by cytokine paracrine effects. The implantation of induced pluripotent stem cell-derived cardiomyocytes can contribute not only to the inhibition of adverse heart remodeling by paracrine effects but also to the supply of newly born functional myocytes with the recipient myocardium as "mechanically working cells." Cell transplantation, including autologous myoblast transplantation, reduces heart failure exacerbations and benefits patients without the need for other treatment options. Although cellular therapy is currently the mainstream approach, it requires an in-house cell-processing center with an aseptic environment. In addition, these stem cells are usually introduced via several invasive delivery methods, including intracoronary administration, and cellular sheet implantation. Simplifying the culture methods for these cells is a crucial problem that needs to be resolved. Drug-induced regenerative therapy is another option that enhances self-endogenous regenerative systems in the human body and does not require invasive methods or cell cultures. Therefore, drug-induced regenerative therapies may overcome the disadvantages of these cellular therapies. The purpose of this report is to summarize cell transplantation therapy in the cardiovascular system and regenerative therapy for heart failure using an autologous endogenous regenerative system.
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Affiliation(s)
- Takasumi Goto
- Department of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Cardiovascular Surgery, Toyonaka Municipal Hospital, Osaka, Japan
| | - Yuki Nakamura
- Department of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yoshito Ito
- Department of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Shigeru Miyagawa
- Department of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
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19
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Jukic L, Maskalan M, Grubic Z, Stingl Jankovic K, Kamenaric MB, Zunec R. Detection of novel HLA alleles by Next-Generation Sequencing in the Croatian population. HLA 2024; 103:e15523. [PMID: 38813591 DOI: 10.1111/tan.15523] [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] [Received: 01/24/2024] [Revised: 04/26/2024] [Accepted: 04/30/2024] [Indexed: 05/31/2024]
Abstract
The introduction of Next-Generation Sequencing (NGS) methodology in the histocompatibility testing for both allo-HSCT and solid organ transplantation enables the sequencing of all HLA genes, which in turn leads to the discovery of many new HLA alleles. Over the last 3 years, we have identified 28 novel alleles (HLA-A*02:1079, A*03:01:01:112, A*11:01:01:83, A*11:01:01:87, A*24:595, A*68:01:01:15, B*07:02:01:107, B*08:01:01:67, B*08:01:01:69, B*13:02:01:25, B*15:01:82, B*15:18:08, B*18:01:01:76, B*27:02:06, B*27:05:02:34, B*40:06:01:17, B*40:517, C*04:01:01:173, C*04:477, C*05:276, C*07:01:01:130, C*12:03:80, C*12:03:01:62, DQA1*05:01:01:10, DPB1*13:01:07, DPB1*1146:01, DPB1*1456:01 and DPB1*1514:01) using the NGS method. The presented data emphasises the benefits gained by the utilisation of the NGS-based techniques in HLA genotyping but also provides new insight on the HLA polymorphism in the Croatian population.
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Affiliation(s)
- Lucija Jukic
- Tissue Typing Centre, Clinical Department of Transfusion Medicine and Transplantation Biology, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Marija Maskalan
- Tissue Typing Centre, Clinical Department of Transfusion Medicine and Transplantation Biology, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Zorana Grubic
- Tissue Typing Centre, Clinical Department of Transfusion Medicine and Transplantation Biology, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Katarina Stingl Jankovic
- Tissue Typing Centre, Clinical Department of Transfusion Medicine and Transplantation Biology, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Marija Burek Kamenaric
- Tissue Typing Centre, Clinical Department of Transfusion Medicine and Transplantation Biology, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Renata Zunec
- Tissue Typing Centre, Clinical Department of Transfusion Medicine and Transplantation Biology, University Hospital Centre Zagreb, Zagreb, Croatia
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20
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Han R, He HC, Zhang WN, Pan ZT, Feng CY, Liang MJ, Wu MY, Zhong W, Lin WQ. Investigation of the correlation between platelet antibodies and peripheral blood cytopenia in patients with hepatocellular carcinoma. Sci Rep 2024; 14:9705. [PMID: 38678158 PMCID: PMC11055914 DOI: 10.1038/s41598-024-60603-8] [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] [Received: 10/29/2023] [Accepted: 04/25/2024] [Indexed: 04/29/2024] Open
Abstract
The primary triggers that stimulate the body to generate platelet antibodies via immune mechanisms encompass events such as pregnancy, transplantation, and blood transfusion. Interestingly, our findings revealed that a subset of male patients with hepatocellular carcinoma (HCC), despite having no history of transplantation or blood transfusion, has shown positive results in platelet antibody screenings. This hints at the possibility that certain factors, potentially related to the tumor itself or its treatment, may affect antibody production. To delve the causes we initiated this study. We employed a case-control study approach to analyze potential influential factors leading to the positive results via univariate and multivariate regression analysis. We utilized Kendall's tau-b correlation to examine the relationship between the strength of platelet antibodies and peripheral blood cytopenia. Antitumor medication emerged as an independent risk factor for positive results in HCC patients, and the strength of platelet antibodies positively correlated with the severity of anemia and thrombocytopenia. Without history of blood transfusion, transplantation, pregnancy, those HCC patients underwent recent tumor medication therapy are experiencing peripheral erythrocytopenia or thrombocytopenia, for them platelet antibody screenings holds potential clinical value for prevention and treatment of complications like drug-immune-related anemia and/or bleeding.
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Affiliation(s)
- Rui Han
- Laboratory of Oncology in South China, Department of Blood Transfusion, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Yuexiu District, Guangzhou, 510060, People's Republic of China
| | - Hui-Chan He
- Laboratory of Oncology in South China, Department of Blood Transfusion, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Yuexiu District, Guangzhou, 510060, People's Republic of China
| | - Wan-Ning Zhang
- Laboratory of Oncology in South China, Department of Blood Transfusion, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Yuexiu District, Guangzhou, 510060, People's Republic of China
| | - Ze-Tao Pan
- Laboratory of Oncology in South China, Department of Blood Transfusion, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Yuexiu District, Guangzhou, 510060, People's Republic of China
| | - Chen-Yang Feng
- Laboratory of Oncology in South China, Department of Blood Transfusion, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Yuexiu District, Guangzhou, 510060, People's Republic of China
| | - Ming-Jian Liang
- Laboratory of Oncology in South China, Department of Blood Transfusion, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Yuexiu District, Guangzhou, 510060, People's Republic of China
| | - Mei-Yi Wu
- Laboratory of Oncology in South China, Department of Blood Transfusion, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Yuexiu District, Guangzhou, 510060, People's Republic of China
| | - Wei Zhong
- Department of Internal Medicine, Huangpu Hospital of Traditional Chinese Medicine, 3 Xieshan Road, Huangpu District, Guangzhou, 510700, People's Republic of China.
| | - Wen-Qian Lin
- Laboratory of Oncology in South China, Department of Blood Transfusion, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Yuexiu District, Guangzhou, 510060, People's Republic of China.
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21
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Yang KL, Lin PY. Association of HLA-C*07:359 with HLA-A, -B, and -DRB1 alleles in Taiwanese. Tzu Chi Med J 2024; 36:166-174. [PMID: 38645783 PMCID: PMC11025586 DOI: 10.4103/tcmj.tcmj_288_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/03/2023] [Accepted: 12/26/2023] [Indexed: 04/23/2024] Open
Abstract
Objectives It is thought that Taiwanese indigenous people were the "first people" to populate Taiwan (Formosa) having been there for over 5000 years, preceding the Dutch colonization (from 1624 to 1662) and Spanish colonization (from 1626 to 1642). Taiwan's indigenes, represented by Austronesian language speakers, currently constitute approximately 2% of the total population in Taiwan. It is unknown whether they evolved from Taiwan's Paleolithic or Neolithic cultures, arrived during or after the Neolithic period from China or Southeast Asia or both. HLA studies on the Taiwanese indigenous population have found several intriguing genetic information showing one or two relatively frequently observed alleles and a small number of relatively less frequently observed ones. We report here a relatively frequently observed HLA-C*07:359 allele in the Taiwanese indigenous population, its linkage with HLA-B*39:01, and its probable associated HLA haplotype in two Taiwanese indigenous families. HLA-C*07:359 is a rarely observed allele in the HLA-C locus in the world populations. The objective of this study is to report the allele HLA-C*07:359 that is more frequently found in the Taiwanese population, especially in the Taiwanese indigenous people, to demonstrate that it has a close linkage with HLA-B*39:01 allele in the HLA-B locus and to show the plausible deduced HLA-A-C-B-DRB1-DQB1 haplotypes in association with HLA-C*07:359 in two families of Taiwanese indigenous unrelated individuals. Materials and Methods The samples were peripheral whole blood, with dipotassium ethylenediaminetetraacetic acid and/or acid citrate dextrose anticoagulation additives. The sequence-based typing method was employed to confirm the low incidence of the allele of HLA-C*07:359 observed in Taiwanese. Polymerase chain reaction was carried out to amplify exons 2, 3, and 4 of the HLA-A,-B,-C,-DRB1 and-DQB1 loci with group-specific primer sets. Amplicons were sequenced using the BigDye Terminator Cycle Sequencing Ready Reaction Kit in both directions according to the manufacturer's protocol. Results C*07:359 is an uncommon allele in the HLA-C locus in the world general population, according to our literature review. However, in this study, it is observed in the general Taiwanese population (frequency 0.41%), especially in the Taiwanese indigenous people at a frequency of 0.23%. In addition, we deduced two probable HLA haplotypes in association with C*07:359 in two indigenous families: A*24:02-C*07:359-B*39:01-DRB1*04:36 and A*24:02-C*07:359-B*39:01-DRB1*04:04. Conclusion The two deduced HLA haplotypes associated with the uncommon C*07:359 allele that we report here are valuable for HLA tissue typing laboratories for reference purposes and for stem cell transplantation donor search coordinators to determine the likelihood of finding compatible donors in unrelated bone marrow donor registries for patients bearing the uncommon HLA allele. Since C*07:359 was found mostly in the Taiwanese indigenous population, we think the allele and its haplotypes we report here are important in population and anthropological studies.
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Affiliation(s)
- Kuo-Liang Yang
- Laboratory of Immunogenetics, Tzu Chi Cord Blood Bank, and Buddhist Tzu Chi Bone Marrow Donor Registry, Buddhist Tzu Chi Stem Cells Centre, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan
- Department of Laboratory Medicine and Biotechnology, Tzu Chi University, Hualien, Taiwan
| | - Py-Yu Lin
- Laboratory of Immunogenetics, Tzu Chi Cord Blood Bank, and Buddhist Tzu Chi Bone Marrow Donor Registry, Buddhist Tzu Chi Stem Cells Centre, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan
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22
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Chen T, Deng J, Zhang Y, Liu B, Liu R, Zhu Y, Zhou M, Lin Y, Xia B, Lin K, Ma X, Zhang H. The construction of modular universal chimeric antigen receptor T (MU-CAR-T) cells by covalent linkage of allogeneic T cells and various antibody fragments. Mol Cancer 2024; 23:53. [PMID: 38468291 PMCID: PMC10926606 DOI: 10.1186/s12943-024-01938-8] [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: 10/27/2023] [Accepted: 01/09/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND Chimeric antigen receptor-T (CAR-T) cells therapy is one of the novel immunotherapeutic approaches with significant clinical success. However, their applications are limited because of long preparation time, high cost, and interpersonal variations. Although the manufacture of universal CAR-T (U-CAR-T) cells have significantly improved, they are still not a stable and unified cell bank. METHODS Here, we tried to further improve the convenience and flexibility of U-CAR-T cells by constructing novel modular universal CAR-T (MU-CAR-T) cells. For this purpose, we initially screened healthy donors and cultured their T cells to obtain a higher proportion of stem cell-like memory T (TSCM) cells, which exhibit robust self-renewal capacity, sustainability and cytotoxicity. To reduce the alloreactivity, the T cells were further edited by double knockout of the T cell receptor (TCR) and class I human leukocyte antigen (HLA-I) genes utilizing the CRISPR/Cas9 system. The well-growing and genetically stable universal cells carrying the CAR-moiety were then stored as a stable and unified cell bank. Subsequently, the SDcatcher/GVoptiTag system, which generate an isopeptide bond, was used to covalently connect the purified scFvs of antibody targeting different antigens to the recovered CAR-T cells. RESULTS The resulting CAR-T cells can perform different functions by specifically targeting various cells, such as the eradication of human immunodeficiency virus type 1 (HIV-1)-latenly-infected cells or elimination of T lymphoma cells, with similar efficiency as the traditional CAR-T cells did. CONCLUSION Taken together, our strategy allows the production of CAR-T cells more modularization, and makes the quality control and pharmaceutic manufacture of CAR-T cells more feasible.
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Affiliation(s)
- Tao Chen
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Guangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510005, China
| | - Jieyi Deng
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yongli Zhang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Bingfeng Liu
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Ruxin Liu
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yiqiang Zhu
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Guangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510005, China
| | - Mo Zhou
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yingtong Lin
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Baijin Xia
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Keming Lin
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xiancai Ma
- Guangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510005, China.
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 511400, China.
| | - Hui Zhang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry Education, Guangdong Engineering Research Center for Antimicrobial Agent and Immunotechnology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Guangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, 510005, China.
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23
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Banno T, Hirai T, Oki R, Yagisawa T, Unagami K, Kanzawa T, Omoto K, Shimizu T, Ishida H, Takagi T. Higher Donor Age and Severe Microvascular Inflammation Are Risk Factors for Chronic Rejection After Treatment of Active Antibody-Mediated Rejection. Transpl Int 2024; 37:11960. [PMID: 38371907 PMCID: PMC10869508 DOI: 10.3389/ti.2024.11960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/10/2024] [Indexed: 02/20/2024]
Abstract
Recent developments in intensive desensitization protocols have enabled kidney transplantation in human leukocyte antigen (HLA)-sensitized recipients. However, cases of active antibody-mediated rejection (AABMR), when they occur, are difficult to manage, graft failure being the worst-case scenario. We aimed to assess the impact of our desensitization and AABMR treatment regimen and identify risk factors for disease progression. Among 849 patients who underwent living-donor kidney transplantation between 2014 and 2021 at our institution, 59 were diagnosed with AABMR within 1 year after transplantation. All patients received combination therapy consisting of steroid pulse therapy, intravenous immunoglobulin, rituximab, and plasmapheresis. Multivariable analysis revealed unrelated donors and preformed donor-specific antibodies as independent risk factors for AABMR. Five-year death-censored graft survival rate was not significantly different between patients with and without AABMR although 27 of 59 patients with AABMR developed chronic AABMR (CABMR) during the study period. Multivariate Cox proportional hazard regression analysis revealed that a donor age greater than 59 years and microvascular inflammation (MVI) score (g + ptc) ≥4 at AABMR diagnosis were independent risk factors for CABMR. Our combination therapy ameliorated AABMR; however, further treatment options should be considered to prevent CABMR, especially in patients with old donors and severe MVI.
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Affiliation(s)
- Taro Banno
- Department of Urology, Tokyo Women’s Medical University Hospital, Tokyo, Japan
| | - Toshihito Hirai
- Department of Urology, Tokyo Women’s Medical University Hospital, Tokyo, Japan
| | - Rikako Oki
- Department of Organ Transplant Medicine, Tokyo Women’s Medical University Hospital, Tokyo, Japan
| | - Takafumi Yagisawa
- Department of Urology, Tokyo Women’s Medical University Hospital, Tokyo, Japan
| | - Kohei Unagami
- Department of Organ Transplant Medicine, Tokyo Women’s Medical University Hospital, Tokyo, Japan
| | - Taichi Kanzawa
- Department of Urology, Tokyo Women’s Medical University Hospital, Tokyo, Japan
| | - Kazuya Omoto
- Department of Urology, Tokyo Women’s Medical University Hospital, Tokyo, Japan
| | - Tomokazu Shimizu
- Department of Organ Transplant Medicine, Tokyo Women’s Medical University Hospital, Tokyo, Japan
| | - Hideki Ishida
- Department of Organ Transplant Medicine, Tokyo Women’s Medical University Hospital, Tokyo, Japan
| | - Toshio Takagi
- Department of Urology, Tokyo Women’s Medical University Hospital, Tokyo, Japan
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24
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Yu D, Ayyala R, Sadek SH, Chittampalli L, Farooq H, Jung J, Nahid AA, Boldirev G, Jung M, Park S, Nguyen A, Zelikovsky A, Mancuso N, Joo JWJ, Thompson RF, Alachkar H, Mangul S. A rigorous benchmarking of alignment-based HLA typing algorithms for RNA-seq data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.05.22.541750. [PMID: 38293199 PMCID: PMC10827116 DOI: 10.1101/2023.05.22.541750] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Accurate identification of human leukocyte antigen (HLA) alleles is essential for various clinical and research applications, such as transplant matching and drug sensitivities. Recent advances in RNA-seq technology have made it possible to impute HLA types from sequencing data, spurring the development of a large number of computational HLA typing tools. However, the relative performance of these tools is unknown, limiting the ability for clinical and biomedical research to make informed choices regarding which tools to use. Here we report the study design of a comprehensive benchmarking of the performance of 12 HLA callers across 682 RNA-seq samples from 8 datasets with molecularly defined gold standard at 5 loci, HLA-A, -B, -C, -DRB1, and -DQB1. For each HLA typing tool, we will comprehensively assess their accuracy, compare default with optimized parameters, and examine for discrepancies in accuracy at the allele and loci levels. We will also evaluate the computational expense of each HLA caller measured in terms of CPU time and RAM. We also plan to evaluate the influence of read length over the HLA region on accuracy for each tool. Most notably, we will examine the performance of HLA callers across European and African groups, to determine discrepancies in accuracy associated with ancestry. We hypothesize that RNA-Seq HLA callers are capable of returning high-quality results, but the tools that offer a good balance between accuracy and computational expensiveness for all ancestry groups are yet to be developed. We believe that our study will provide clinicians and researchers with clear guidance to inform their selection of an appropriate HLA caller.
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Affiliation(s)
- Dottie Yu
- Department of Quantitative and Computational Biology, Dornsife College of Letters, Arts and Sciences, University of Southern California, 1975 Zonal Ave, Los Angeles, CA 90033, USA
| | - Ram Ayyala
- Department of Quantitative and Computational Biology, Dornsife College of Letters, Arts and Sciences, University of Southern California, 1975 Zonal Ave, Los Angeles, CA 90033, USA
| | - Sarah Hany Sadek
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
- Department of Biology, and Department of Computer Science, California State University, Fullerton, Fullerton, CA 92831
| | - Likhitha Chittampalli
- Department of Computer Science, Viterbi School of Engineering University of Southern California, Los Angeles, CA, USA
| | - Hafsa Farooq
- Department of Computer Science, Georgia State University Atlanta, GA 30303 USA
| | - Junghyun Jung
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
- Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Abdullah Al Nahid
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh
| | - Grigore Boldirev
- Department of Computer Science, College of Arts and Sciences, Georgia State University, Atlanta, GA, 30303, USA
| | - Mina Jung
- Department of Quantitative and Computational Biology, Dornsife College of Letters, Arts and Sciences, University of Southern California, 1975 Zonal Ave, Los Angeles, CA 90033, US
| | - Sungmin Park
- Department of Computer Science and Engineering, Dongguk University-Seoul, Seoul, 04620, South Korea
| | - Austin Nguyen
- Computational Biologist, Immune Monitoring & Cancer Omics Oregon Health & Science University, Biomedical Engineering, 3181 S.W. Sam Jackson Park Road Portland, OR 97239-3098
| | - Alex Zelikovsky
- Department of Computer Science, College of Arts and Sciences, Georgia State University, Atlanta, GA, 30303, USA
| | - Nicholas Mancuso
- Assistant Professor of Population and Public Health Sciences, Keck School of Medicina, University of Southern California, 1845 N. Soto Street, USA
| | - Jong Wha J Joo
- Department of Computer Science and Engineering, Dongguk University-Seoul, Seoul, 04620, South Korea
- Division of AI Software Convergence, Dongguk University-Seoul, Seoul, 04620, South Korea
| | - Reid F Thompson
- Assistant Professor of Radiation Medicine, School of Medicine, OHSU, Portland, OR 97239
- Assistant Professor of Biomedical Engineering, School of Medicine, OHSU, Portland, OR 97239
- Staff Physician, VA Portland Healthcare System, Portland OR 97239
| | - Houda Alachkar
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, CA, USA
| | - Serghei Mangul
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, 1540 Alcazar Street, Los Angeles, CA 90033, USA
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles
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25
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Tao S, You X, Wang F, Zhang W, Zhu F. The novel allele, HLA-B*15:627 was identified by next-generation sequencing in a Chinese cord blood donor. HLA 2024; 103:e15309. [PMID: 38009819 DOI: 10.1111/tan.15309] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 11/29/2023]
Abstract
HLA-B*15:627 shows one nucleotide substitution G to A at position 601 compared with HLA-B*15:02:01:01.
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Affiliation(s)
- Sudan Tao
- HLA Typing Laboratory, Transfusion Research Institute, Blood Center of Zhejiang Province, Hangzhou, China
- HLA Typing Laboratory, Transfusion Research Institute, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Xuan You
- HLA Typing Laboratory, Transfusion Research Institute, Blood Center of Zhejiang Province, Hangzhou, China
- HLA Typing Laboratory, Transfusion Research Institute, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Fang Wang
- HLA Typing Laboratory, Transfusion Research Institute, Blood Center of Zhejiang Province, Hangzhou, China
- HLA Typing Laboratory, Transfusion Research Institute, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Wei Zhang
- HLA Typing Laboratory, Transfusion Research Institute, Blood Center of Zhejiang Province, Hangzhou, China
- HLA Typing Laboratory, Transfusion Research Institute, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Faming Zhu
- HLA Typing Laboratory, Transfusion Research Institute, Blood Center of Zhejiang Province, Hangzhou, China
- HLA Typing Laboratory, Transfusion Research Institute, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
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26
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Gonzalez-Galarza FF, McCabe A, Melo Dos Santos EJ, Ghattaoraya G, Jones AR, Middleton D. Allele Frequency Net Database. Methods Mol Biol 2024; 2809:19-36. [PMID: 38907888 DOI: 10.1007/978-1-0716-3874-3_2] [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: 06/24/2024]
Abstract
The allele frequency net database (AFND, http://www.allelefrequencies.net ) is an online web-based repository that contains information on the frequencies of immune-related genes and their corresponding alleles in worldwide human populations. At present, the website contains data from 1784 population samples in more than 14 million individuals from 129 countries on the frequency of genes from different polymorphic regions including data for the human leukocyte antigen (HLA) system. In addition, over the last four years, AFND has also incorporated genotype raw data from 85,000 individuals comprising 215 population samples from 39 countries. Moreover, more population data sets containing next generation sequencing data spanning >3 million individuals have been added. This resource has been widely used in a variety of contexts such as histocompatibility, immunology, epidemiology, pharmacogenetics, epitope prediction algorithms for population coverage in vaccine development, population genetics, among many others. In this chapter, we present an update of the most used searching mechanisms as described in a previous volume and some of the latest developments included in AFND.
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Affiliation(s)
- Faviel F Gonzalez-Galarza
- Department of Molecular Immunobiology, Center for Biomedical Research, Faculty of Medicine, Autonomous University of Coahuila, Torreon, Coahuila, Mexico.
| | - Antony McCabe
- Computational Biology Facility, University of Liverpool, Liverpool, UK
| | - Eduardo J Melo Dos Santos
- Genetic of Complex Diseases, Institute of Biological Sciences, Federal University of Para, Belém, Brazil
| | - Gurpreet Ghattaoraya
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Andrew R Jones
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Derek Middleton
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
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27
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Tiwari A, Mukherjee S. Role of Complement-dependent Cytotoxicity Crossmatch and HLA Typing in Solid Organ Transplant. Rev Recent Clin Trials 2024; 19:34-52. [PMID: 38155466 DOI: 10.2174/0115748871266738231218145616] [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] [Received: 07/05/2023] [Revised: 11/10/2023] [Accepted: 11/10/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND Solid organ transplantation is a life-saving medical operation that has progressed greatly because of developments in diagnostic tools and histocompatibility tests. Crossmatching for complement-dependent cytotoxicity (CDC) and human leukocyte antigen (HLA) typing are two important methods for checking graft compatibility and reducing the risk of graft rejection. HLA typing and CDC crossmatching are critical in kidney, heart, lung, liver, pancreas, intestine, and multi-organ transplantation. METHODS A systematic literature search was conducted on the internet, using PubMed, Scopus, and Google Scholar databases, to identify peer-reviewed publications about solid organ transplants, HLA typing, and CDC crossmatching. CONCLUSION Recent advances in HLA typing have allowed for high-resolution evaluation, epitope matching, and personalized therapy methods. Genomic profiling, next-generation sequencing, and artificial intelligence have improved HLA typing precision, resulting in better patient outcomes. Artificial intelligence (AI) driven virtual crossmatching and predictive algorithms have eliminated the requirement for physical crossmatching in the context of CDC crossmatching, boosting organ allocation and transplant efficiency. This review elaborates on the importance of HLA typing and CDC crossmatching in solid organ transplantation.
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Affiliation(s)
- Arpit Tiwari
- Amity Institute of Biotechnology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India
| | - Sayali Mukherjee
- Amity Institute of Biotechnology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India
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28
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Marco I, López-Azor García JC, González Martín J, Severo Sánchez A, García-Cosío Carmena MD, Mancebo Sierra E, de Juan Bagudá J, Castrodeza Calvo J, Hernández Pérez FJ, Delgado JF. De Novo Donor-Specific Antibodies after Heart Transplantation: A Comprehensive Guide for Clinicians. J Clin Med 2023; 12:7474. [PMID: 38068526 PMCID: PMC10707043 DOI: 10.3390/jcm12237474] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 11/28/2023] [Accepted: 11/30/2023] [Indexed: 04/12/2024] Open
Abstract
Antibodies directed against donor-specific human leukocyte antigens (HLAs) can be detected de novo after heart transplantation and play a key role in long-term survival. De novo donor-specific antibodies (dnDSAs) have been associated with cardiac allograft vasculopathy, antibody-mediated rejection, and mortality. Advances in detection methods and international guideline recommendations have encouraged the adoption of screening protocols among heart transplant units. However, there is still a lack of consensus about the correct course of action after dnDSA detection. Treatment is usually started when antibody-mediated rejection is present; however, some dnDSAs appear years before graft failure is detected, and at this point, damage may be irreversible. In particular, class II, anti-HLA-DQ, complement binding, and persistent dnDSAs have been associated with worse outcomes. Growing evidence points towards a more aggressive management of dnDSA. For that purpose, better diagnostic tools are needed in order to identify subclinical graft injury. Cardiac magnetic resonance, strain techniques, or coronary physiology parameters could provide valuable information to identify patients at risk. Treatment of dnDSA usually involves plasmapheresis, intravenous immunoglobulin, immunoadsorption, and ritxumab, but the benefit of these therapies is still controversial. Future efforts should focus on establishing effective treatment protocols in order to improve long-term survival of heart transplant recipients.
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Affiliation(s)
- Irene Marco
- Cardiology Department, Hospital Universitario La Paz, 28046 Madrid, Spain;
| | - Juan Carlos López-Azor García
- Cardiology Department, Hospital Universitario Puerta de Hierro, 28222 Madrid, Spain; (J.C.L.-A.G.); (F.J.H.P.)
- Centro Nacional de Investigaciones Biomédicas en Red de Enfermedades CardioVasculares (CIBERCV), 28029 Madrid, Spain; (J.G.M.); (M.D.G.-C.C.); (J.d.J.B.); (J.C.C.)
- School of Medicine, Universidad Europea de Madrid, 28670 Madrid, Spain
| | - Javier González Martín
- Centro Nacional de Investigaciones Biomédicas en Red de Enfermedades CardioVasculares (CIBERCV), 28029 Madrid, Spain; (J.G.M.); (M.D.G.-C.C.); (J.d.J.B.); (J.C.C.)
- Cardiology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain;
| | - Andrea Severo Sánchez
- Cardiology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain;
| | - María Dolores García-Cosío Carmena
- Centro Nacional de Investigaciones Biomédicas en Red de Enfermedades CardioVasculares (CIBERCV), 28029 Madrid, Spain; (J.G.M.); (M.D.G.-C.C.); (J.d.J.B.); (J.C.C.)
- Cardiology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain;
| | - Esther Mancebo Sierra
- Immunology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain;
| | - Javier de Juan Bagudá
- Centro Nacional de Investigaciones Biomédicas en Red de Enfermedades CardioVasculares (CIBERCV), 28029 Madrid, Spain; (J.G.M.); (M.D.G.-C.C.); (J.d.J.B.); (J.C.C.)
- School of Medicine, Universidad Europea de Madrid, 28670 Madrid, Spain
- Cardiology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain;
| | - Javier Castrodeza Calvo
- Centro Nacional de Investigaciones Biomédicas en Red de Enfermedades CardioVasculares (CIBERCV), 28029 Madrid, Spain; (J.G.M.); (M.D.G.-C.C.); (J.d.J.B.); (J.C.C.)
- Cardiology Department, Hospital Universitario Gregorio Marañón, 28007 Madrid, Spain
| | | | - Juan Francisco Delgado
- Centro Nacional de Investigaciones Biomédicas en Red de Enfermedades CardioVasculares (CIBERCV), 28029 Madrid, Spain; (J.G.M.); (M.D.G.-C.C.); (J.d.J.B.); (J.C.C.)
- Cardiology Department, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain;
- School of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain
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Chen G, Hu X, Huang Y, Xiang X, Pan S, Chen R, Xu X. Role of the immune system in liver transplantation and its implications for therapeutic interventions. MedComm (Beijing) 2023; 4:e444. [PMID: 38098611 PMCID: PMC10719430 DOI: 10.1002/mco2.444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 12/17/2023] Open
Abstract
Liver transplantation (LT) stands as the gold standard for treating end-stage liver disease and hepatocellular carcinoma, yet postoperative complications continue to impact survival rates. The liver's unique immune system, governed by a microenvironment of diverse immune cells, is disrupted during processes like ischemia-reperfusion injury posttransplantation, leading to immune imbalance, inflammation, and subsequent complications. In the posttransplantation period, immune cells within the liver collaboratively foster a tolerant environment, crucial for immune tolerance and liver regeneration. While clinical trials exploring cell therapy for LT complications exist, a comprehensive summary is lacking. This review provides an insight into the intricacies of the liver's immune microenvironment, with a specific focus on macrophages and T cells as primary immune players. Delving into the immunological dynamics at different stages of LT, we explore the disruptions after LT and subsequent immune responses. Focusing on immune cell targeting for treating liver transplant complications, we provide a comprehensive summary of ongoing clinical trials in this domain, especially cell therapies. Furthermore, we offer innovative treatment strategies that leverage the opportunities and prospects identified in the therapeutic landscape. This review seeks to advance our understanding of LT immunology and steer the development of precise therapies for postoperative complications.
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Affiliation(s)
- Guanrong Chen
- The Fourth School of Clinical MedicineZhejiang Chinese Medical UniversityHangzhouChina
| | - Xin Hu
- Zhejiang University School of MedicineHangzhouChina
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang ProvinceHangzhouChina
| | - Yingchen Huang
- The Fourth School of Clinical MedicineZhejiang Chinese Medical UniversityHangzhouChina
| | - Xiaonan Xiang
- Zhejiang University School of MedicineHangzhouChina
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang ProvinceHangzhouChina
| | - Sheng Pan
- Zhejiang University School of MedicineHangzhouChina
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang ProvinceHangzhouChina
| | - Ronggao Chen
- Department of Hepatobiliary and Pancreatic SurgeryThe First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Xiao Xu
- Zhejiang University School of MedicineHangzhouChina
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang ProvinceHangzhouChina
- Zhejiang Chinese Medical UniversityHangzhouChina
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30
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Stefańska K, Kurkowiak M, Piekarska K, Chruściel E, Zamkowska D, Jassem-Bobowicz J, Adamski P, Świątkowska-Stodulska R, Abacjew-Chmyłko A, Leszczyńska K, Zieliński M, Preis K, Zielińska H, Tymoniuk B, Trzonkowski P, Marek-Trzonkowska NM. High maternal-fetal HLA eplet compatibility is associated with severe manifestation of preeclampsia. Front Immunol 2023; 14:1272021. [PMID: 38022600 PMCID: PMC10655094 DOI: 10.3389/fimmu.2023.1272021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/09/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Preeclampsia is responsible for more than 70 000 and 500 000 maternal and fetal deaths, respectively each year. Incomplete remodelling of the spiral arteries in placenta is the most accepted theory of preeclampsia pathogenesis. However, the process is complexed with immunological background, as pregnancy resembles allograft transplantation. Fetus expresses human leukocyte antigens (HLA) inherited from both parents, thus is semiallogeneic to the maternal immune system. Therefore, induction of fetal tolerance is crucial for physiological outcome of pregnancy. Noteworthy, the immunogenicity of discordant HLA antigens is determined by functional epitopes called eplets, which are continuous and discontinuous short sequences of amino acids. This way various HLA molecules may express the same eplet and some HLA incompatibilities can be more immunogenic due to different eplet combination. Therefore, we hypothesized that maternal- fetal HLA incompatibility may be involved in the pathogenesis of gestational hypertension and its progression to preeclampsia. We also aimed to test if particular maternal-fetal eplet mismatches are more prone for induction of anti- fetal HLA antibodies in gestational hypertension and preeclampsia. Methods High resolution next-generation sequencing of HLA-A, -B, -C, -DQB1 and -DRB1 antigens was performed in mothers and children from physiological pregnancies (12 pairs) and from pregnancies complicated with gestational hypertension (22 pairs) and preeclampsia (27 pairs). In the next step HLA eplet identification and analysis of HLA eplet incompatibilities was performed with in silico approach HLAMatchmaker algorithm. Simultaneously maternal sera were screened for anti-fetal HLA class I, class II and anti-MICA antibodies with Luminex, and data were analyzed with HLA-Fusion software. Results We observed that high HLA-C, -B, and DQB1 maternal-fetal eplet compatibility was associated with severe preeclampsia (PE) manifestation. Both quantity and quality of HLA epletmismatches affected the severity of PE. Mismatches in HLA-B eplets: 65QIA+76ESN, 70IAO, 180E, HLA-C eplets: 193PL3, 267QE, and HLA-DRB1 eplet: 16Y were associated with a mild outcome of preeclampsia if the complication occurred. Conclusions High HLA-C, HLA-DQB1 and HLA-B eplet compatibility between mother and child is associated with severe manifestation of preeclampsia. Both quantity and quality of maternal-fetal HLA eplet mismatches affects severity of preeclampsia.
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Affiliation(s)
- Katarzyna Stefańska
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | - Małgorzata Kurkowiak
- International Centre for Cancer Vaccine Science (ICCVS), University of Gdańsk, Gdańsk, Poland
| | - Karolina Piekarska
- Laboratory of Immunology and Clinical Transplantology, University Clinical Centre in Gdańsk, Gdańsk, Poland
- Department of Medical Immunology, Medical University of Gdansk, Gdańsk, Poland
- Laboratory of Immunoregulation and Cellular Therapies, Department of Family Medicine, Medical University of Gdansk, Gdańsk, Poland
| | - Elżbieta Chruściel
- International Centre for Cancer Vaccine Science (ICCVS), University of Gdańsk, Gdańsk, Poland
| | - Dorota Zamkowska
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | | | - Przemysław Adamski
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | | | - Anna Abacjew-Chmyłko
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | - Katarzyna Leszczyńska
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | - Maciej Zieliński
- Department of Medical Immunology, Medical University of Gdansk, Gdańsk, Poland
| | - Krzysztof Preis
- Department of Gynecology and Obstetrics Medical University of Gdansk, Gdańsk, Poland
| | - Hanna Zielińska
- Laboratory of Immunology and Clinical Transplantology, University Clinical Centre in Gdańsk, Gdańsk, Poland
- Department of Medical Immunology, Medical University of Gdansk, Gdańsk, Poland
| | - Bogusław Tymoniuk
- Department of Immunology and Allergy, Medical University of Łódź, Łódź, Poland
| | - Piotr Trzonkowski
- Department of Medical Immunology, Medical University of Gdansk, Gdańsk, Poland
| | - Natalia Maria Marek-Trzonkowska
- International Centre for Cancer Vaccine Science (ICCVS), University of Gdańsk, Gdańsk, Poland
- Laboratory of Immunoregulation and Cellular Therapies, Department of Family Medicine, Medical University of Gdansk, Gdańsk, Poland
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González-López E, Ocejo-Vinyals JG, Renuncio-García M, Roa-Bautista A, San Segundo Arribas D, Escagedo C, García-Saiz MDM, Valero R, García-Berbel P, Ruíz San Millán JC, Rodrigo E. Donor-Derived Cell-Free DNA at 1 Month after Kidney Transplantation Relates to HLA Class II Eplet Mismatch Load. Biomedicines 2023; 11:2741. [PMID: 37893114 PMCID: PMC10604614 DOI: 10.3390/biomedicines11102741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/03/2023] [Accepted: 10/09/2023] [Indexed: 10/29/2023] Open
Abstract
Kidney transplantation is the preferred therapeutic option for end-stage renal disease; however, the alloimmune response is still the leading cause of renal allograft failure. To better identify immunologic disparities in order to evaluate HLA compatibility between the donor and the recipient, the concept of eplet load has arisen. Regular kidney function monitoring is essential for the accurate and timely diagnosis of allograft rejection and the appropriate treatment. Donor-derived cell-free DNA (dd-cfDNA) has been proposed as a potential biomarker of acute rejection and graft failure in kidney transplantation. The proportion of plasma dd-cfDNA was determined in forty-two kidney patients at 1 month after transplantation. A total of eleven (26.2%) patients had a dd-cfDNA proportion of ≥1.0%. The only pretransplant variable related to dd-cfDNA > 1.0% was the HLA class II eplet mismatch load, mainly the HLA-DQB1 eplet mismatch load. Furthermore, dd-cfDNA was able to discriminate the patients with antibody-mediated rejection (AbMR) (AUC 87.3%), acute rejection (AUC 78.2%), and troubled graft (AUC 81.4%). Increased dd-cfDNA levels were associated with kidney allograft deterioration, particularly rejection, as well as a greater HLA class II eplet mismatch load. Consequently, combining dd-cfDNA determination and HLA eplet mismatch load calculation should improve the assessment of the risk of short- and long-term allograft damage.
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Affiliation(s)
- Elena González-López
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (E.G.-L.); (M.R.-G.); (A.R.-B.); (D.S.S.A.)
| | - Javier Gonzalo Ocejo-Vinyals
- Immunology Department, Infectious Diseases and Clinical Microbiology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain;
| | - Mónica Renuncio-García
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (E.G.-L.); (M.R.-G.); (A.R.-B.); (D.S.S.A.)
| | - Adriel Roa-Bautista
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (E.G.-L.); (M.R.-G.); (A.R.-B.); (D.S.S.A.)
| | - David San Segundo Arribas
- Immunology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (E.G.-L.); (M.R.-G.); (A.R.-B.); (D.S.S.A.)
| | - Clara Escagedo
- Nephrology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (C.E.); (R.V.); (J.C.R.S.M.)
| | - María del Mar García-Saiz
- Clinical Pharmacology Department, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain;
| | - Rosalía Valero
- Nephrology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (C.E.); (R.V.); (J.C.R.S.M.)
| | - Pilar García-Berbel
- Pathological Anatomy Department, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain;
| | - Juan Carlos Ruíz San Millán
- Nephrology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (C.E.); (R.V.); (J.C.R.S.M.)
| | - Emilio Rodrigo
- Nephrology Department, Immunopathology Group, Marqués de Valdecilla University Hospital-IDIVAL, University of Cantabria, 39008 Santander, Spain; (C.E.); (R.V.); (J.C.R.S.M.)
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32
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Sakaue S, Gurajala S, Curtis M, Luo Y, Choi W, Ishigaki K, Kang JB, Rumker L, Deutsch AJ, Schönherr S, Forer L, LeFaive J, Fuchsberger C, Han B, Lenz TL, de Bakker PIW, Okada Y, Smith AV, Raychaudhuri S. Tutorial: a statistical genetics guide to identifying HLA alleles driving complex disease. Nat Protoc 2023; 18:2625-2641. [PMID: 37495751 PMCID: PMC10786448 DOI: 10.1038/s41596-023-00853-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 04/27/2023] [Indexed: 07/28/2023]
Abstract
The human leukocyte antigen (HLA) locus is associated with more complex diseases than any other locus in the human genome. In many diseases, HLA explains more heritability than all other known loci combined. In silico HLA imputation methods enable rapid and accurate estimation of HLA alleles in the millions of individuals that are already genotyped on microarrays. HLA imputation has been used to define causal variation in autoimmune diseases, such as type I diabetes, and in human immunodeficiency virus infection control. However, there are few guidelines on performing HLA imputation, association testing, and fine mapping. Here, we present a comprehensive tutorial to impute HLA alleles from genotype data. We provide detailed guidance on performing standard quality control measures for input genotyping data and describe options to impute HLA alleles and amino acids either locally or using the web-based Michigan Imputation Server, which hosts a multi-ancestry HLA imputation reference panel. We also offer best practice recommendations to conduct association tests to define the alleles, amino acids, and haplotypes that affect human traits. Along with the pipeline, we provide a step-by-step online guide with scripts and available software ( https://github.com/immunogenomics/HLA_analyses_tutorial ). This tutorial will be broadly applicable to large-scale genotyping data and will contribute to defining the role of HLA in human diseases across global populations.
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Affiliation(s)
- Saori Sakaue
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saisriram Gurajala
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michelle Curtis
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yang Luo
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Wanson Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
| | - Kazuyoshi Ishigaki
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Laboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Joyce B Kang
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Laurie Rumker
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Aaron J Deutsch
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Program in Metabolism, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Jonathon LeFaive
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Christian Fuchsberger
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Institute for Biomedicine, Eurac Research, Bolzano, Italy
| | - Buhm Han
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, South Korea
| | - Tobias L Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany
| | - Paul I W de Bakker
- Data and Computational Sciences, Vertex Pharmaceuticals, Boston, MA, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Albert V Smith
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Centre for Genetics and Genomics Versus Arthritis, University of Manchester, Manchester, UK.
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Peng L, Zhao W, Yin T, Xu C, Wang G, Du M. The unique expression pattern of human leukocyte antigen in trophoblasts potentially explains the key mechanism of maternal-fetal tolerance and successful pregnancy. J Reprod Immunol 2023; 158:103980. [PMID: 37390630 DOI: 10.1016/j.jri.2023.103980] [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] [Received: 02/09/2023] [Revised: 05/15/2023] [Accepted: 06/12/2023] [Indexed: 07/02/2023]
Abstract
The success of pregnancy mainly depends on immune tolerance of the mother for the semi-allogeneic fetus. The placenta carrying paternal antigens develops in the maternal uterus without suffering immune attack, making the underlying mechanism of maternal tolerance an enduring mystery. As we all know, human leukocyte antigen (HLA) plays an important role in antigen processing and presentation, thus inducing specific immune responses. Therefore, it is reasonable to speculate that the absence of classical HLA class-I(HLA-I) and HLA class-II (HLA-II) molecules in trophoblasts may account for the maternal-fetal tolerance. Here, we review the HLA-involved interactions between trophoblast cells and decidual immune cells, which contribute to the immunotolerance in the development of normal pregnancy. We also compare the similarity between the maternal-fetal interface and tumor-immune microenvironment because the important role of HLA molecules in tumor immune invasion can provide some references to studies of maternal-fetal immune tolerance. Besides, the abnormal HLA expression is likely to be associated with unexplained miscarriage, making HLA molecules potential therapeutic targets. The advances reported by these studies may exert profound influences on other research areas, including tumor immunity, organ transplantation and autoimmune disease in the future.
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Affiliation(s)
- Lijin Peng
- The Lab of Reproduction Immunology, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Hospital of Obstetrics and Gynecology, Fudan University Shanghai Medical College, Shanghai, China
| | - Weijie Zhao
- The Lab of Reproduction Immunology, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Hospital of Obstetrics and Gynecology, Fudan University Shanghai Medical College, Shanghai, China
| | - Tingxuan Yin
- The Lab of Reproduction Immunology, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Hospital of Obstetrics and Gynecology, Fudan University Shanghai Medical College, Shanghai, China
| | - Chunfang Xu
- The Lab of Reproduction Immunology, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Hospital of Obstetrics and Gynecology, Fudan University Shanghai Medical College, Shanghai, China
| | - Guangchuan Wang
- Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Meirong Du
- The Lab of Reproduction Immunology, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Hospital of Obstetrics and Gynecology, Fudan University Shanghai Medical College, Shanghai, China.
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Motter JD, Massie AB, Garonzik-Wang JM, Pfeiffer RM, Yu KJ, Segev DL, Engels EA. Cancer Risk Following HLA-Incompatible Living Donor Kidney Transplantation. Transplant Direct 2023; 9:e1505. [PMID: 37492080 PMCID: PMC10365202 DOI: 10.1097/txd.0000000000001505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/05/2023] [Accepted: 05/06/2023] [Indexed: 07/27/2023] Open
Abstract
Incompatible living donor kidney transplant recipients (ILDKTr) require desensitization to facilitate transplantation, and this substantial upfront immunosuppression may result in serious complications, including cancer. Methods To characterize cancer risk in ILDKTr, we evaluated 858 ILDKTr and 12 239 compatible living donor kidney transplant recipients (CLDKTr) from a multicenter cohort with linkage to the US transplant registry and 33 cancer registries (1997-2016). Cancer incidence was compared using weighted Cox regression. Results Among ILDKTr, the median follow-up time was 6.7 y (maximum 16.1 y) for invasive cancers (ascertained via cancer registry linkage) and 5.0 y (maximum 16.1 y) for basal and squamous cell carcinomas (ascertained via the transplant registry and censored for transplant center loss to follow-up). Invasive cancers occurred in 53 ILDKTr (6.2%) and 811 CLDKTr (6.6%; weighted hazard ratio [wHR] 1.01; 95% confidence interval [CI], 0.76-1.35). Basal and squamous cell carcinomas occurred in 41 ILDKTr (4.8%) and 737 CLDKTr (6.0%) (wHR 0.99; 95% CI, 0.69-1.40). Cancer risk did not vary according to donor-specific antibody strength, and in an exploratory analysis, was similar between CLDKTr and ILDKTr for most cancer types and according to cancer stage, except ILDKTr had a suggestively increased risk of colorectal cancer (wHR 3.27; 95% CI, 1.23-8.71); however, this elevation was not significant after correction for multiple comparisons. Conclusions These findings indicate that the risk of cancer is not increased for ILDKTr compared with CLDKTr. The possible elevation in colorectal cancer risk is unexplained and might suggest a need for tailored screening or prevention.
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Affiliation(s)
- Jennifer D. Motter
- Department of Surgery, New York University Grossman School of Medicine, New York, NY
| | - Allan B. Massie
- Department of Surgery, New York University Grossman School of Medicine, New York, NY
- Department of Population Health, New York University Grossman School of Medicine, New York, NY
| | | | - Ruth M. Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Kelly J. Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Dorry L. Segev
- Department of Surgery, New York University Grossman School of Medicine, New York, NY
- Department of Population Health, New York University Grossman School of Medicine, New York, NY
- Scientific Registry of Transplant Recipients, Minneapolis, MN
| | - Eric A. Engels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
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35
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Lee H, Lee H, Eum SH, Ko EJ, Min JW, Oh EJ, Yang CW, Chung BH. Impact of Low-Level Donor-Specific Anti-HLA Antibody on Posttransplant Clinical Outcomes in Kidney Transplant Recipients. Ann Lab Med 2023; 43:364-374. [PMID: 36843405 PMCID: PMC9989540 DOI: 10.3343/alm.2023.43.4.364] [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: 09/02/2022] [Revised: 12/07/2022] [Accepted: 01/27/2023] [Indexed: 02/28/2023] Open
Abstract
Background The clinical significance of low-level donor-specific anti-HLA antibody (low-DSA) remains controversial. We investigated the impact of low-DSA on posttransplant clinical outcomes in kidney transplant (KT) recipients. Methods We retrospectively reviewed 1,027 KT recipients, namely, 629 living donor KT (LDKT) recipients and 398 deceased donor KT (DDKT) recipients, in Seoul St. Mary's Hospital (Seoul, Korea) between 2010 and 2018. Low-DSA was defined as a positive anti-HLA-DSA result in the Luminex single antigen assay (LABScreen single antigen HLA class I - combi and class II - group 1 kits; One Lambda, Canoga Park, CA, USA) but a negative result in a crossmatch test. We compared the incidence of biopsy-proven allograft rejection (BPAR), changes in allograft function, allograft survival, patient survival, and posttransplant infections between subgroups according to pretransplant low-DSA. Results The incidence of overall BPAR and T cell-mediated rejection did not differ between the subgroups. However, antibody-mediated rejection (ABMR) developed more frequently in patients with low-DSA than in those without low-DSA in the total cohort and the LDKT and DDKT subgroups. In multivariate analysis, low-DSA was identified as a risk factor for ABMR development. Its impact was more pronounced in DDKT (odds ratio [OR]: 9.60, 95% confidence interval [CI]: 1.79-51.56) than in LDKT (OR: 3.76, 95% CI: 0.99-14.26) recipients. There were no significant differences in other outcomes according to pretransplant low-DSA. Conclusions Pretransplant low-DSA has a significant impact on the development of ABMR, and more so in DDKT recipients than in LDKT recipients, but not on long-term outcomes.
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Affiliation(s)
- Haeun Lee
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hanbi Lee
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sang Hun Eum
- Division of Nephrology, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Korea
| | - Eun Jeong Ko
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.,Transplant Research Center, Convergent Research Consortium for Immunologic Disease, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ji-Won Min
- Division of Nephrology, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Korea
| | - Eun-Jee Oh
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Chul Woo Yang
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.,Transplant Research Center, Convergent Research Consortium for Immunologic Disease, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Byung Ha Chung
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.,Transplant Research Center, Convergent Research Consortium for Immunologic Disease, College of Medicine, The Catholic University of Korea, Seoul, Korea
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36
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Zhang ZJ, Ding LY, Zuo XL, Feng H, Xia Q. A new paradigm in transplant immunology: At the crossroad of synthetic biology and biomaterials. MED 2023:S2666-6340(23)00142-3. [PMID: 37244257 DOI: 10.1016/j.medj.2023.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 02/04/2023] [Accepted: 05/02/2023] [Indexed: 05/29/2023]
Abstract
Solid organ transplant (SOT) recipients require meticulously tailored immunosuppressive regimens to minimize graft loss and mortality. Traditional approaches focus on inhibiting effector T cells, while the intricate and dynamic immune responses mediated by other components remain unsolved. Emerging advances in synthetic biology and material science have provided novel treatment modalities with increased diversity and precision to the transplantation community. This review investigates the active interface between these two fields, highlights how living and non-living structures can be engineered and integrated for immunomodulation, and discusses their potential application in addressing the challenges in SOT clinical practice.
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Affiliation(s)
- Zi-Jie Zhang
- Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China; Shanghai Engineering Research Centre of Transplantation and Immunology, Shanghai 200127, China
| | - Lu-Yue Ding
- Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Xiao-Lei Zuo
- Shanghai Engineering Research Centre of Transplantation and Immunology, Shanghai 200127, China; School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hao Feng
- Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China; Shanghai Engineering Research Centre of Transplantation and Immunology, Shanghai 200127, China; Shanghai Institute of Transplantation, Shanghai 200127, China; Punan Branch (Shanghai Punan Hospital), Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
| | - Qiang Xia
- Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China; Shanghai Engineering Research Centre of Transplantation and Immunology, Shanghai 200127, China; Shanghai Institute of Transplantation, Shanghai 200127, China.
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37
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Schneider MM, Scheidt T, Priddey AJ, Xu CK, Hu M, Meisl G, Devenish SRA, Dobson CM, Kosmoliaptsis V, Knowles TPJ. Microfluidic antibody affinity profiling of alloantibody-HLA interactions in human serum. Biosens Bioelectron 2023; 228:115196. [PMID: 36921387 DOI: 10.1016/j.bios.2023.115196] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 02/17/2023] [Accepted: 03/03/2023] [Indexed: 03/07/2023]
Abstract
Antibody profiling is a fundamental component of understanding the humoral response in a wide range of disease areas. Most currently used approaches operate by capturing antibodies onto functionalised surfaces. Such measurements of surface binding are governed by an overall antibody titre, while the two fundamental molecular parameters, antibody affinity and antibody concentration, are challenging to determine individually from such approaches. Here, by applying microfluidic diffusional sizing (MDS), we show how we can overcome this challenge and demonstrate reliable quantification of alloantibody binding affinity and concentration of alloantibodies binding to Human Leukocyte Antigens (HLA), an extensively used clinical biomarker in organ transplantation, both in buffer and in crude human serum. Capitalising on the ability to vary both serum and HLA concentrations during MDS, we show that both affinity and concentration of HLA-specific antibodies can be determined directly in serum when neither of these parameters is known. Finally, we provide proof of principle in clinical transplant patient sera that our assay enables differentiation of alloantibody reactivity against HLA proteins of highly similar structure, providing information not attainable through currently available techniques. These results outline a path towards detection and in-depth profiling of humoral immunity and may enable further insights into the clinical relevance of antibody reactivity in clinical transplantation and beyond.
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Affiliation(s)
- Matthias M Schneider
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Tom Scheidt
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Ashley J Priddey
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
| | - Catherine K Xu
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Mengsha Hu
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Georg Meisl
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Sean R A Devenish
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Rd, Cambridge, CB1 8DH, UK
| | - Christopher M Dobson
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Vasilis Kosmoliaptsis
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK; NIHR Blood and Transplant Research Unit in Organ Donation and Transplantation, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK; NIHR Cambridge Biomedical Research Centre, Hills Road, Cambridge, CB2 0QQ, UK.
| | - Tuomas P J Knowles
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK; Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Ave, Cambridge, CB3 0HE, UK.
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38
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Ahadova A, Witt J, Haupt S, Gallon R, Hüneburg R, Nattermann J, Ten Broeke S, Bohaumilitzky L, Hernandez-Sanchez A, Santibanez-Koref M, Jackson MS, Ahtiainen M, Pylvänäinen K, Andini K, Grolmusz VK, Möslein G, Dominguez-Valentin M, Møller P, Fürst D, Sijmons R, Borthwick GM, Burn J, Mecklin JP, Heuveline V, von Knebel Doeberitz M, Seppälä T, Kloor M. Is HLA type a possible cancer risk modifier in Lynch syndrome? Int J Cancer 2023; 152:2024-2031. [PMID: 36214792 DOI: 10.1002/ijc.34312] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/02/2022] [Accepted: 09/16/2022] [Indexed: 11/05/2022]
Abstract
Lynch syndrome (LS) is the most common inherited cancer syndrome. It is inherited via a monoallelic germline variant in one of the DNA mismatch repair (MMR) genes. LS carriers have a broad 30% to 80% risk of developing various malignancies, and more precise, individual risk estimations would be of high clinical value, allowing tailored cancer prevention and surveillance. Due to MMR deficiency, LS cancers are characterized by the accumulation of frameshift mutations leading to highly immunogenic frameshift peptides (FSPs). Thus, immune surveillance is proposed to inhibit the outgrowth of MMR-deficient cell clones. Recent studies have shown that immunoediting during the evolution of MMR-deficient cancers leads to a counter-selection of highly immunogenic antigens. The immunogenicity of FSPs is dependent on the antigen presentation. One crucial factor determining antigen presentation is the HLA genotype. Hence, a LS carrier's HLA genotype plays an important role in the presentation of FSP antigens to the immune system, and may influence the likelihood of progression from precancerous lesions to cancer. To address the challenge of clarifying this possibility including diverse populations with different HLA types, we have established the INDICATE initiative (Individual cancer risk by HLA type, http://indicate-lynch.org/), an international network aiming at a systematic evaluation of the HLA genotype as a possible cancer risk modifier in LS. Here we summarize the current knowledge on the role of HLA type in cancer risk and outline future research directions to delineate possible association in the scenario of LS with genetically defined risk population and highly immunogenic tumors.
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Affiliation(s)
- Aysel Ahadova
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,Cooperation Unit Applied Tumor Biology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Johannes Witt
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,Cooperation Unit Applied Tumor Biology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Saskia Haupt
- Engineering Mathematics and Computing Lab (EMCL), Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany.,Data Mining and Uncertainty Quantification (DMQ), Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany
| | - Richard Gallon
- Translational and Clinical Research Institute, Newcastle University, International Centre for Life, Newcastle upon Tyne, UK
| | - Robert Hüneburg
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany.,National Center for Hereditary Tumor Syndromes, University Hospital Bonn, Bonn, Germany
| | - Jacob Nattermann
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany.,National Center for Hereditary Tumor Syndromes, University Hospital Bonn, Bonn, Germany
| | - Sanne Ten Broeke
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | - Lena Bohaumilitzky
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,Cooperation Unit Applied Tumor Biology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Alejandro Hernandez-Sanchez
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,Cooperation Unit Applied Tumor Biology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Mauro Santibanez-Koref
- Translational and Clinical Research Institute, Newcastle University, International Centre for Life, Newcastle upon Tyne, UK
| | - Michael S Jackson
- Translational and Clinical Research Institute, Newcastle University, International Centre for Life, Newcastle upon Tyne, UK
| | | | - Kirsi Pylvänäinen
- Department of Education and science, Nova Hospital, Jyväskylä, Finland
| | - Katarina Andini
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | - Vince Kornel Grolmusz
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary.,Hereditary Cancers Research Group, Hungarian Academy of Sciences-Semmelweis University, Budapest, Hungary
| | - Gabriela Möslein
- Department of Surgery, Ev. Krankenhaus Bethesda Hospital, Duisburg, Germany
| | - Mev Dominguez-Valentin
- Department of Tumor Biology, Institute of Cancer Research, The Norwegian Radium Hospital, Oslo, Norway
| | - Pål Møller
- Department of Tumor Biology, Institute of Cancer Research, The Norwegian Radium Hospital, Oslo, Norway
| | - Daniel Fürst
- Institute of Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Transfusion Service, Baden Wuerttemberg-Hessen, University Hospital Ulm, Ulm, Germany.,Institute of Transfusion Medicine, University of Ulm, Ulm, Germany
| | - Rolf Sijmons
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | - Gillian M Borthwick
- Translational and Clinical Research Institute, Newcastle University, International Centre for Life, Newcastle upon Tyne, UK
| | - John Burn
- Translational and Clinical Research Institute, Newcastle University, International Centre for Life, Newcastle upon Tyne, UK
| | - Jukka-Pekka Mecklin
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.,Department of Surgery, Nova Hospital, Jyväskylä, Finland
| | - Vincent Heuveline
- Engineering Mathematics and Computing Lab (EMCL), Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany.,Data Mining and Uncertainty Quantification (DMQ), Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany
| | - Magnus von Knebel Doeberitz
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,Cooperation Unit Applied Tumor Biology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Toni Seppälä
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere University Hospital, Tampere, Finland.,Department of Gastrointestinal Surgery, Helsinki University Central Hospital, Helsinki, Finland.,Applied Tumor Genomics Research Program, University of Helsinki, Helsinki, Finland
| | - Matthias Kloor
- Department of Applied Tumor Biology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.,Cooperation Unit Applied Tumor Biology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
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39
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Zhang Z, Wei X. Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy. Semin Cancer Biol 2023; 90:57-72. [PMID: 36796530 DOI: 10.1016/j.semcancer.2023.02.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 01/12/2023] [Accepted: 02/13/2023] [Indexed: 02/16/2023]
Abstract
The rapid development of artificial intelligence (AI) technologies in the context of the vast amount of collectable data obtained from high-throughput sequencing has led to an unprecedented understanding of cancer and accelerated the advent of a new era of clinical oncology with a tone of precision treatment and personalized medicine. However, the gains achieved by a variety of AI models in clinical oncology practice are far from what one would expect, and in particular, there are still many uncertainties in the selection of clinical treatment options that pose significant challenges to the application of AI in clinical oncology. In this review, we summarize emerging approaches, relevant datasets and open-source software of AI and show how to integrate them to address problems from clinical oncology and cancer research. We focus on the principles and procedures for identifying different antitumor strategies with the assistance of AI, including targeted cancer therapy, conventional cancer therapy, and cancer immunotherapy. In addition, we also highlight the current challenges and directions of AI in clinical oncology translation. Overall, we hope this article will provide researchers and clinicians with a deeper understanding of the role and implications of AI in precision cancer therapy, and help AI move more quickly into accepted cancer guidelines.
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Affiliation(s)
- Zhe Zhang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, PR China; State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu 610041, PR China
| | - Xiawei Wei
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, PR China.
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40
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Poppelaars F, Eskandari SK, Damman J, Seelen MA, Faria B, Gaya da Costa M. A non-muscle myosin heavy chain 9 genetic variant is associated with graft failure following kidney transplantation. Kidney Res Clin Pract 2023; 42:389-402. [PMID: 37313613 PMCID: PMC10265209 DOI: 10.23876/j.krcp.22.061] [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: 03/29/2022] [Revised: 06/06/2022] [Accepted: 07/07/2022] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND Despite current matching efforts to identify optimal donor-recipient pairs for kidney transplantation, alloimmunity remains a major source of late transplant failure. Additional genetic parameters in donor-recipient matching could help improve longterm outcomes. Here, we studied the impact of a non-muscle myosin heavy chain 9 gene (MYH9) polymorphism on allograft failure. METHODS We conducted an observational cohort study, analyzing the DNA of 1,271 kidney donor-recipient transplant pairs from a single academic hospital for the MYH9 rs11089788 C>A polymorphism. The associations of the MYH9 genotype with risk of graft failure, biopsy-proven acute rejection (BPAR), and delayed graft function (DGF) were estimated. RESULTS A trend was seen in the association between the MYH9 polymorphism in the recipient and graft failure (recessive model, p = 0.056), but not for the MYH9 polymorphism in the donor. The AA-genotype MYH9 polymorphism in recipients was associated with higher risk of DGF (p = 0.03) and BPAR (p = 0.021), although significance was lost after adjusting for covariates (p = 0.15 and p = 0.10, respectively). The combined presence of the MYH9 polymorphism in donor-recipient pairs was associated with poor long-term kidney allograft survival (p = 0.04), in which recipients with an AA genotype receiving a graft with an AA genotype had the worst outcomes. After adjustment, this combined genotype remained significantly associated with 15-year death-censored kidney graft survival (hazard ratio, 1.68; 95% confidence interval, 1.05-2.70; p = 0.03). CONCLUSION Our results reveal that recipients with an AA-genotype MYH9 polymorphism receiving a donor kidney with an AA genotype have significantly elevated risk of graft failure after kidney transplantation.
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Affiliation(s)
- Felix Poppelaars
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Siawosh K. Eskandari
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Jeffrey Damman
- Department of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Marc A. Seelen
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Bernardo Faria
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Nephrology and Infectious Disease R&D Group, INEB, Institute of Investigation and Innovation in Health (i3S), University of Porto, Porto, Portugal
| | - Mariana Gaya da Costa
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
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41
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Blanco LP, Kaplan MJ. Metabolic alterations of the immune system in the pathogenesis of autoimmune diseases. PLoS Biol 2023; 21:e3002084. [PMID: 37098006 PMCID: PMC10128981 DOI: 10.1371/journal.pbio.3002084] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023] Open
Abstract
Systemic autoimmune diseases are characteristically associated with aberrant autoreactive innate and adaptive immune responses that lead to tissue damage and increased morbidity and mortality. Autoimmunity has been linked to alterations in the metabolic functions of immune cells (immunometabolism) and, more specifically, to mitochondrial dysfunction. Much has been written about immunometabolism in autoimmunity in general, so this Essay focuses on recent research into the role of mitochondrial dysfunction in the dysregulation of innate and adaptive immunity that is characteristic of systemic autoimmune diseases such as systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA). Enhancing the understanding of mitochondrial dysregulation in autoimmunity will hopefully contribute to accelerating the development of immunomodulatory treatments for these challenging diseases.
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Affiliation(s)
- Luz P Blanco
- Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Mariana J Kaplan
- Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
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42
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Miyamae J, Okano M, Katakura F, Kulski JK, Moritomo T, Shiina T. Large-Scale Polymorphism Analysis of Dog Leukocyte Antigen Class I and Class II Genes ( DLA-88, DLA-12/88L and DLA-DRB1) and Comparison of the Haplotype Diversity between Breeds in Japan. Cells 2023; 12:809. [PMID: 36899945 PMCID: PMC10001263 DOI: 10.3390/cells12050809] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/21/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
Polymorphisms of canine leukocyte antigen (DLA) class I (DLA-88 and DLA-12/88L) and class II (DLA-DRB1) genes are important for disease susceptibility studies, but information on the genetic diversity among dog breeds is still lacking. To better elucidate the polymorphism and genetic diversity between breeds, we genotyped DLA-88, DLA-12/88L, and DLA-DRB1 loci using 829 dogs of 59 breeds in Japan. Genotyping by Sanger sequencing identified 89, 43, and 61 alleles in DLA-88, DLA-12/88L, and DLA-DRB1 loci, respectively, and a total of 131 DLA-88-DLA-12/88L-DLA-DRB1 haplotypes (88-12/88L-DRB1) were detected more than once. Of the 829 dogs, 198 were homozygotes for one of the 52 different 88-12/88L-DRB1 haplotypes (homozygosity rate: 23.8%). Statistical modeling suggests that 90% of the DLA homozygotes or heterozygotes with one or other of the 52 different 88-12/88L-DRB1 haplotypes within somatic stem cell lines would benefit graft outcome after 88-12/88L-DRB1-matched transplantation. As previously reported for DLA class II haplotypes, the diversity of 88-12/88L-DRB1 haplotypes varied remarkably between breeds but was relatively conserved within most breeds. Therefore, the genetic characteristics of high DLA homozygosity rate and poor DLA diversity within a breed are useful for transplantation therapy, but they may affect biological fitness as homozygosity progresses.
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Affiliation(s)
- Jiro Miyamae
- Faculty of Veterinary Medicine, Okayama University of Science, 1-3 Ikoino-oka, Imabari 794-8555, Japan
| | - Masaharu Okano
- Department of Legal Medicine, Nihon University School of Dentistry, 1-8-13 Kanda-Surugadai, Chiyoda-ku, Tokyo 101-8310, Japan
| | - Fumihiko Katakura
- Department of Veterinary Medicine, College of Bioresource Science, Nihon University, 1866 Kameino, Fujisawa 252-0880, Japan
| | - Jerzy K. Kulski
- Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara 259-1143, Japan
| | - Tadaaki Moritomo
- Department of Veterinary Medicine, College of Bioresource Science, Nihon University, 1866 Kameino, Fujisawa 252-0880, Japan
| | - Takashi Shiina
- Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara 259-1143, Japan
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43
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Jiang X, Yuan X, Li Y, Zhang T, Chen L, Bao X, He J. Use of next-generation sequencing to detect polymorphism of 11 HLA allele loci in the Chinese Han population and variance from other common and well-documented lists. HLA 2023; 101:222-227. [PMID: 36480173 DOI: 10.1111/tan.14932] [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: 06/21/2022] [Revised: 11/12/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
The focus of this study was to analyze polymorphisms in the HLA gene at 11 loci in 4845 Chinese Han populations using next-generation sequencing methods, and to compare common and well-documented (CWD) allelic differences between China and other CWD lists. A total of 44 DPB1 alleles, 13 DPA1 alleles, 20 DQA1 alleles and 19 DRB3/4/5 alleles were detected in this study. About 20%-50% of the CWD alleles in China differ from the American Society for Histocompatibility and Immunogenetics and European Federation for Immunogenetics (EFI) data. The revised list of HLA-CWD alleles in the Han population will provide additional data for the update of the IMGT/HLA database and contribute to a better understanding of hematopoietic stem cell transplantation and organ transplantation.
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Affiliation(s)
- Xue Jiang
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaoni Yuan
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yang Li
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - TengTeng Zhang
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Luyao Chen
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaojing Bao
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jun He
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China
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San D, Lei J, Liu Y, Jing B, Ye X, Wei P, Paek C, Yang Y, Zhou J, Chen P, Wang H, Chen Y, Yin L. Structural basis of the TCR-pHLA complex provides insights into the unconventional recognition of CDR3β in TCR cross-reactivity and alloreactivity. CELL INSIGHT 2023; 2:100076. [PMID: 37192909 PMCID: PMC10120306 DOI: 10.1016/j.cellin.2022.100076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/17/2022] [Accepted: 12/18/2022] [Indexed: 05/18/2023]
Abstract
Evidence shows that some class I human leucocyte antigen (HLA) alleles are related to durable HIV controls. The T18A TCR, which has the alloreactivity between HLA-B∗42:01 and HLA-B∗81:01 and the cross-reactivity with different antigen mutants, can sustain long-term HIV controls. Here the structural basis of the T18A TCR binding to the immunodominant HIV epitope TL9 (TPQDLNTML180-188) presented by HLA-B∗42:01 was determined and compared to T18A TCR binding to the TL9 presented by the allo-HLA-B∗81:01. For differences between HLA-B∗42:01 and HLA-B∗81:01, the CDR1α and CDR3α loops adopt a small rearrangement to accommodate them. For different conformations of the TL9 presented by different HLA alleles, not like the conventional recognition of CDR3s to interact with peptide antigens, CDR3β of the T18A TCR shifts to avoid the peptide antigen but intensively recognizes the HLA only, which is different with other conventional TCR structures. Featured sequence pairs of CDR3β and HLA might account for this and were additionally found in multiple other diseases indicating the popularity of the unconventional recognition pattern which would give insights into the control of diseases with epitope mutating such as HIV.
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Affiliation(s)
| | | | | | - Baowei Jing
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Xiang Ye
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Pengcheng Wei
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Chonil Paek
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Yi Yang
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Jin Zhou
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Peng Chen
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Hongjian Wang
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Yongshun Chen
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Lei Yin
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
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Farshbafnadi M, Razi S, Rezaei N. Transplantation. Clin Immunol 2023. [DOI: 10.1016/b978-0-12-818006-8.00008-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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Wang K, Sun Z, Zhu F, Xu Y, Zhou F. Development of a high-resolution mass-spectrometry-based method and software for human leukocyte antigen typing. Front Immunol 2023; 14:1188381. [PMID: 37187759 PMCID: PMC10175642 DOI: 10.3389/fimmu.2023.1188381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 04/12/2023] [Indexed: 05/17/2023] Open
Abstract
Introduction The human leukocyte antigen (HLA) system plays a critical role in the human immune system and is strongly associated with immune recognition and rejection in organ transplantation. HLA typing method has been extensively studied to increase the success rates of clinical organ transplantation. However, while polymerase chain reaction sequence-based typing (PCR-SBT) remains the gold standard, cis/trans ambiguity and nucleotide sequencing signal overlay during heterozygous typing present a problem. The high cost and low processing speed of Next Generation Sequencing (NGS) also render this approach inadequate for HLA typing. Methods and materials To address these limitations of the current HLA typing methods, we developed a novel typing technology based on nucleic acid mass spectrometry (MS) of HLA. Our method takes advantage of the high-resolution mass analysis function of MS and HLAMSTTs (HLA MS Typing Tags, some short fragment PCR amplification target products) with precise primer combinations. Results We correctly typed HLA by measuring the molecular weights of HLAMSTTs with single nucleotide polymorphisms (SNPs). In addition, we developed a supporting HLA MS typing software to design PCR primers, construct the MS database, and select the best-matching HLA typing results. With this new method, we typed 16 HLA-DQA1 samples, including 6 homozygotes and 10 heterozygotes. The MS typing results were validated by PCR-SBT. Discussion The MS HLA typing method is rapid, efficient, accurate, and readily applicable to typing of homozygous and heterozygous samples.
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Affiliation(s)
- Kun Wang
- Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Zetao Sun
- Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Fei Zhu
- Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Yunping Xu
- Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong, China
- *Correspondence: Yunping Xu, ; Feng Zhou,
| | - Feng Zhou
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Minister of Education, and Institutes of Biomedical Sciences, Fudan University, Shanghai, China
- *Correspondence: Yunping Xu, ; Feng Zhou,
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Clinical recommendations for posttransplant assessment of anti-HLA (Human Leukocyte Antigen) donor-specific antibodies: A Sensitization in Transplantation: Assessment of Risk consensus document. Am J Transplant 2023; 23:115-132. [PMID: 36695614 DOI: 10.1016/j.ajt.2022.11.013] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/29/2022] [Accepted: 11/04/2022] [Indexed: 01/13/2023]
Abstract
Although anti-HLA (Human Leukocyte Antigen) donor-specific antibodies (DSAs) are commonly measured in clinical practice and their relationship with transplant outcome is well established, clinical recommendations for anti-HLA antibody assessment are sparse. Supported by a careful and critical review of the current literature performed by the Sensitization in Transplantation: Assessment of Risk 2022 working group, this consensus report provides clinical practice recommendations in kidney, heart, lung, and liver transplantation based on expert assessment of quality and strength of evidence. The recommendations address 3 major clinical problems in transplantation and include guidance regarding posttransplant DSA assessment and application to diagnostics, prognostics, and therapeutics: (1) the clinical implications of positive posttransplant DSA detection according to DSA status (ie, preformed or de novo), (2) the relevance of posttransplant DSA assessment for precision diagnosis of antibody-mediated rejection and for treatment management, and (3) the relevance of posttransplant DSA for allograft prognosis and risk stratification. This consensus report also highlights gaps in current knowledge and provides directions for clinical investigations and trials in the future that will further refine the clinical utility of posttransplant DSA assessment, leading to improved transplant management and patient care.
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Tambur AR, Audry B, Glotz D, Jacquelinet C. Improving equity in kidney transplant allocation policies through a novel genetic metric: The Matched Donor Potential. Am J Transplant 2023; 23:45-54. [PMID: 36695620 DOI: 10.1016/j.ajt.2022.08.001] [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: 03/29/2022] [Revised: 07/12/2022] [Accepted: 08/21/2022] [Indexed: 01/13/2023]
Abstract
The demand for donors' kidneys continues to increase amid a shortage of available donors. Managing policies to thoughtfully allocate this scarce resource is a complex process. Although human leukocyte antigen (HLA) matching has been shown to prolong graft survival, its relative contribution to allocation schemes is empirically compromised owing to competing priorities. We explored using a new metric, Matched Donor Potential (MDP), to facilitate improved HLA matching while promoting equity. We interrogated all active kidney waitlist patients (N = 164 427), their corresponding unacceptable antigen files, and all effective donors in the Scientific Registry of Transplant Recipients (January 1, 2016-December 31, 2017). Cause-specific hazard functions were evaluated to assess the potential impact of the MDP metric on deceased donor transplant access rates for all candidates. Access was affected by ethnicity, blood group type, and calculated Panel Reactive Antibody (cPRA). Importantly, we show that access to transplantation is influenced by the patient's own HLA makeup regardless of their ethnicity and by the HLA makeup of effective donors. The MDP metric demonstrates a high association with access to transplantation. Adjusting Cox models to include this new metric resulted in improved access to kidney transplantation for waitlist candidates of minority heritage while significantly promoting HLA matching. Thus, the MDP metric accounts for balanced, equitable organ allocation algorithms.
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Affiliation(s)
- Anat R Tambur
- Comprehensive Transplant Center, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
| | | | - Denis Glotz
- Department of Nephrology and Transplantation, Hopital Saint-Louis, Paris, France
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Tekguc M, Gaal RCVAN, Uzel SGM, Gupta N, Riella LV, Lewis JA, Morizane R. Kidney organoids: a pioneering model for kidney diseases. Transl Res 2022; 250:1-17. [PMID: 35750295 PMCID: PMC9691572 DOI: 10.1016/j.trsl.2022.06.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 06/14/2022] [Accepted: 06/16/2022] [Indexed: 11/18/2022]
Abstract
The kidney is a vital organ that regulates the bodily fluid and electrolyte homeostasis via tailored urinary excretion. Kidney injuries that cause severe or progressive chronic kidney disease have driven the growing population of patients with end-stage kidney disease, leading to substantial patient morbidity and mortality. This irreversible kidney damage has also created a huge socioeconomical burden on the healthcare system, highlighting the need for novel translational research models for progressive kidney diseases. Conventional research methods such as in vitro 2D cell culture or animal models do not fully recapitulate complex human kidney diseases. By contrast, directed differentiation of human induced pluripotent stem cells enables in vitro generation of patient-specific 3D kidney organoids, which can be used to model acute or chronic forms of hereditary, developmental, and metabolic kidney diseases. Furthermore, when combined with biofabrication techniques, organoids can be used as building blocks to construct vascularized kidney tissues mimicking their in vivo counterpart. By applying gene editing technology, organoid building blocks may be modified to minimize the process of immune rejection in kidney transplant recipients. In the foreseeable future, the universal kidney organoids derived from HLA-edited/deleted induced pluripotent stem cell (iPSC) lines may enable the supply of bioengineered organotypic kidney structures that are immune-compatible for the majority of the world population. Here, we summarize recent advances in kidney organoid research coupled with novel technologies such as organoids-on-chip and biofabrication of 3D kidney tissues providing convenient platforms for high-throughput drug screening, disease modelling, and therapeutic applications.
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Affiliation(s)
- Murat Tekguc
- Nephrology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Harvard Stem Cell Institute (HSCI), Cambridge, Massachusetts
| | - Ronald C VAN Gaal
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts; School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
| | - Sebastien G M Uzel
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts; School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
| | - Navin Gupta
- Nephrology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Harvard Stem Cell Institute (HSCI), Cambridge, Massachusetts
| | - Leonardo V Riella
- Nephrology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Center for Transplantation Sciences, Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Jennifer A Lewis
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts; School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts
| | - Ryuji Morizane
- Nephrology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Harvard Stem Cell Institute (HSCI), Cambridge, Massachusetts; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts.
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50
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Cornaby C, Weimer ET. HLA Typing by Next-Generation Sequencing: Lessons Learned and Future Applications. Clin Lab Med 2022; 42:603-612. [PMID: 36368785 DOI: 10.1016/j.cll.2022.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Caleb Cornaby
- McLendon Clinical Laboratories, UNC Hospitals, 101 Manning Drive, Chapel Hill, NC 27514, USA
| | - Eric T Weimer
- McLendon Clinical Laboratories, UNC Hospitals, 101 Manning Drive, Chapel Hill, NC 27514, USA; Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27514, USA.
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