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Dubovik T, Lukačišin M, Starosvetsky E, LeRoy B, Normand R, Admon Y, Alpert A, Ofran Y, G'Sell M, Shen-Orr SS. Interactions between immune cell types facilitate the evolution of immune traits. Nature 2024; 632:350-356. [PMID: 38866051 PMCID: PMC11306095 DOI: 10.1038/s41586-024-07661-0] [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: 08/01/2023] [Accepted: 06/04/2024] [Indexed: 06/14/2024]
Abstract
An essential prerequisite for evolution by natural selection is variation among individuals in traits that affect fitness1. The ability of a system to produce selectable variation, known as evolvability2, thus markedly affects the rate of evolution. Although the immune system is among the fastest-evolving components in mammals3, the sources of variation in immune traits remain largely unknown4,5. Here we show that an important determinant of the immune system's evolvability is its organization into interacting modules represented by different immune cell types. By profiling immune cell variation in bone marrow of 54 genetically diverse mouse strains from the Collaborative Cross6, we found that variation in immune cell frequencies is polygenic and that many associated genes are involved in homeostatic balance through cell-intrinsic functions of proliferation, migration and cell death. However, we also found genes associated with the frequency of a particular cell type that are expressed in a different cell type, exerting their effect in what we term cyto-trans. The vertebrate evolutionary record shows that genes associated in cyto-trans have faced weaker negative selection, thus increasing the robustness and hence evolvability2,7,8 of the immune system. This phenomenon is similarly observable in human blood. Our findings suggest that interactions between different components of the immune system provide a phenotypic space in which mutations can produce variation with little detriment, underscoring the role of modularity in the evolution of complex systems9.
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Affiliation(s)
- Tania Dubovik
- Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
- CytoReason, Tel-Aviv, Israel
| | - Martin Lukačišin
- Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Elina Starosvetsky
- Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
- CytoReason, Tel-Aviv, Israel
| | - Benjamin LeRoy
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, USA
- Nike, Beaverton, OR, USA
| | - Rachelly Normand
- Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
- Massachusetts General Hospital, Boston, MA, USA
| | - Yasmin Admon
- Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
- CytoReason, Tel-Aviv, Israel
| | - Ayelet Alpert
- Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
- Department of Oncology, Rambam Health Care Campus, Haifa, Israel
| | - Yishai Ofran
- Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
- Department of Haematology and Bone Marrow Transplantation, Rambam Health Care Campus, Haifa, Israel
- Haematology and Bone Marrow Transplantation Department and the Eisenberg R&D Authority, Shaare Zedek Medical Centre, Faculty of Medicine, Hebrew University, Jerusalem, Israel
| | - Max G'Sell
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Shai S Shen-Orr
- Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
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2
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Gao J, Giro P, Delaney JA, Rasmussen-Torvik L, Taylor KD, Thorp EB, Doyle MF, Feinstein MJ, Sitlani CM, Olson N, Tracy R, Shah SJ, Psaty BM, Patel RB. Immune cell profiling of the ICAM1 p.K56M heart failure with preserved ejection fraction risk variant. ESC Heart Fail 2024. [PMID: 39034892 DOI: 10.1002/ehf2.14983] [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: 06/11/2024] [Revised: 06/26/2024] [Accepted: 07/02/2024] [Indexed: 07/23/2024] Open
Abstract
AIMS Intercellular adhesion molecule-1 (ICAM-1) facilitates inflammation via leucocyte recruitment and has been implicated in heart failure with preserved ejection fraction (HFpEF). Approximately 35% of African American individuals carry a copy of an ICAM1 missense variant (rs5491; p.K56M), which is associated with an increased risk of HFpEF. The pathways by which rs5491 increases HFpEF risk are not well defined. We evaluated the circulating immune cell profile of rs5491. METHODS Among African American individuals in the Multi-Ethnic Study of Atherosclerosis, we evaluated the associations of rs5491 with 29 circulating peripheral blood mononuclear cell subsets. The top immune cells were then related to echocardiographic measures of structure and function. RESULTS Among 502 individuals with immune cell profiling (mean age 63 years, 51% female), 191 individuals (38%) had at least one copy of rs5491. Each additional rs5491 allele was significantly associated with higher proportions of Tc17 CD8+ cytotoxic T cells (β = 1.34, SE = 0.45, P = 9.5 × 10-5) and Tc2 CD8+ cytotoxic T cells (β = 1.19, SE = 0.44, P = 0.00012). There were no other associations noted between rs5491 and the remaining immune cells. A higher proportion of Tc17 cells was significantly associated with a higher left ventricular ejection fraction, E/e' average and right ventricular systolic pressure (RVSP), while a higher proportion of Tc2 cells was significantly associated with a higher RVSP. CONCLUSIONS The ICAM1 p.K56M variant (rs5491) carries a distinct and inflammatory T-cell subset profile. These cytotoxic T cells are in turn associated with alterations in cardiac function and adverse haemodynamics later in life, thus providing insight into pathways by which rs5491 may increase the risk of HFpEF.
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Affiliation(s)
- Jing Gao
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Pedro Giro
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Joseph A Delaney
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Laura Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Edward B Thorp
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Margaret F Doyle
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont, USA
| | - Matthew J Feinstein
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Nels Olson
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont, USA
| | - Russell Tracy
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont, USA
| | - Sanjiv J Shah
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle, Washington, USA
| | - Ravi B Patel
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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3
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Li L, Wang M, Huang L, Zheng X, Wang L, Miao H. Ataxin-2: a powerful RNA-binding protein. Discov Oncol 2024; 15:298. [PMID: 39039334 PMCID: PMC11263328 DOI: 10.1007/s12672-024-01158-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 07/15/2024] [Indexed: 07/24/2024] Open
Abstract
Ataxin-2 (ATXN2) was originally discovered in the context of spinocerebellar ataxia type 2 (SCA2), but it has become a key player in various neurodegenerative diseases. This review delves into the multifaceted roles of ATXN2 in human diseases, revealing its diverse molecular and cellular pathways. The impact of ATXN2 on diseases extends beyond functional outcomes; it mainly interacts with various RNA-binding proteins (RBPs) to regulate different stages of post-transcriptional gene expression in diseases. With the progress of research, ATXN2 has also been found to play an important role in the development of various cancers, including breast cancer, gastric cancer, pancreatic cancer, colon cancer, and esophageal cancer. This comprehensive exploration underscores the crucial role of ATXN2 in the pathogenesis of diseases and warrants further investigation by the scientific community. By reviewing the latest discoveries on the regulatory functions of ATXN2 in diseases, this article helps us understand the complex molecular mechanisms of a series of human diseases related to this intriguing protein.
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Affiliation(s)
- Lulu Li
- Department of Clinical and Military Laboratory Medicine, College of Medical Laboratory Science, Army Medical University, Chongqing, 400038, China
- Department of Clinical and Military Laboratory Medicine, College of Medical Laboratory Science, Army Medical University, Chongqing, 400038, China
| | - Meng Wang
- Department of Pathophysiology, College of High Altitude Military Medicine, Army Medical University, Chongqing, 400038, China
| | - Lai Huang
- Department of Clinical and Military Laboratory Medicine, College of Medical Laboratory Science, Army Medical University, Chongqing, 400038, China
| | - Xiaoli Zheng
- Department of Clinical and Military Laboratory Medicine, College of Medical Laboratory Science, Army Medical University, Chongqing, 400038, China.
| | - Lina Wang
- Department of Clinical and Military Laboratory Medicine, College of Medical Laboratory Science, Army Medical University, Chongqing, 400038, China.
| | - Hongming Miao
- Department of Pathophysiology, College of High Altitude Military Medicine, Army Medical University, Chongqing, 400038, China.
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4
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Kilic G, Debisarun PA, Alaswad A, Baltissen MP, Lamers LA, de Bree LCJ, Benn CS, Aaby P, Dijkstra H, Lemmers H, Martens JHA, Domínguez-Andrés J, van Crevel R, Li Y, Xu CJ, Netea MG. Seasonal variation in BCG-induced trained immunity. Vaccine 2024:S0264-410X(24)00751-5. [PMID: 38981740 DOI: 10.1016/j.vaccine.2024.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 06/03/2024] [Accepted: 07/02/2024] [Indexed: 07/11/2024]
Abstract
The Bacille Calmette-Guerin (BCG) vaccine is a well-established inducer of innate immune memory (also termed trained immunity), causing increased cytokine production upon heterologous secondary stimulation. Innate immune responses are known to be influenced by season, but whether seasons impact induction of trained immunity is not known. To explore the influence of season on innate immune memory induced by the BCG vaccine, we vaccinated healthy volunteers with BCG either during winter or spring. Three months later, we measured the ex vivo cytokine responses against heterologous stimuli, analyzed gene expressions and epigenetic signatures of the immune cells, and compared these with the baseline before vaccination. BCG vaccination during winter induced a stronger increase in the production of pro-inflammatory cytokines by peripheral blood mononuclear cells (PBMCs) upon stimulation with different bacterial and fungal stimuli, compared to BCG vaccination in spring. In contrast, winter BCG vaccination resulted in lower IFNγ release in PBMCs compared to spring BCG vaccination. Furthermore, NK cells of the winter-vaccinated people had a greater pro-inflammatory cytokine and IFNγ production capacity upon heterologous stimulation. BCG had only minor effects on the transcriptome of monocytes 3 months later. In contrast, we identified season-dependent epigenetic changes in monocytes and NK cells induced by vaccination, partly explaining the higher immune cell reactivity in the winter BCG vaccination group. These results suggest that BCG vaccination during winter is more prone to induce a robust trained immunity response by activating and reprogramming the immune cells, especially NK cells. (Dutch clinical trial registry no. NL58219.091.16).
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Affiliation(s)
- Gizem Kilic
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Priya A Debisarun
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ahmed Alaswad
- Centre for Individualised Infection Medicine (CiiM), A Joint Venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany; TWINCORE, A Joint Venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany
| | - Marijke P Baltissen
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Lieke A Lamers
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - L Charlotte J de Bree
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Christine S Benn
- Bandim Health Project, Open Patient Data Explorative Network (OPEN), Department of Clinical Research, Odense University Hospital and University of Southern Denmark, Odense, Denmark; Danish Institute for Advanced Study, University of Southern Denmark, Copenhagen, Denmark
| | - Peter Aaby
- Bandim Health Project, Open Patient Data Explorative Network (OPEN), Department of Clinical Research, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Helga Dijkstra
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Heidi Lemmers
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Joost H A Martens
- Department of Molecular Biology, Faculty of Science, Radboud University Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Jorge Domínguez-Andrés
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Reinout van Crevel
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Yang Li
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Individualised Infection Medicine (CiiM), A Joint Venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany; TWINCORE, A Joint Venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany
| | - Cheng-Jian Xu
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands; Centre for Individualised Infection Medicine (CiiM), A Joint Venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany; TWINCORE, A Joint Venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany
| | - Mihai G Netea
- Department of Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Immunology and Metabolism, Life and Medical Sciences Institute (LIMES), University of Bonn, Bonn, Germany.
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5
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Hill W, Weeden CE, Swanton C. Tumor Promoters and Opportunities for Molecular Cancer Prevention. Cancer Discov 2024; 14:1154-1160. [PMID: 38870403 DOI: 10.1158/2159-8290.cd-24-0128] [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: 01/24/2024] [Revised: 03/18/2024] [Accepted: 05/09/2024] [Indexed: 06/15/2024]
Abstract
Environmental carcinogens increase cancer incidence via both mutagenic and non-mutagenic mechanisms. There are over 500 known or suspected carcinogens classified by the International Agency for Research on Cancer. Sequencing of both cancerous and histologically non-cancerous tissue has been instrumental in improving our understanding of how environmental carcinogens cause cancer. Understanding how and defining which environmental or lifestyle exposures drive cancer will support cancer prevention. Recent research is revisiting the mechanisms of early tumorigenesis, paving the way for an era of molecular cancer prevention. Significance: Recent data have improved our understanding of how carcinogens cause cancer, which may reveal novel opportunities for molecular cancer prevention.
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Affiliation(s)
- William Hill
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Clare E Weeden
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom
- Department of Oncology, University College London Hospitals, London, United Kingdom
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6
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Middleton LYM, Nguyen VK, Dou J, Wang H, Patel CJ, Park SK, Colacino JA, Bakulski KM. Environmental chemical-wide associations with immune biomarkers in US adults: A cross-sectional analysis. ENVIRONMENTAL RESEARCH 2024; 252:118956. [PMID: 38640990 DOI: 10.1016/j.envres.2024.118956] [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: 01/22/2024] [Revised: 04/11/2024] [Accepted: 04/14/2024] [Indexed: 04/21/2024]
Abstract
Environmental chemical exposures influence immune system functions, and humans are exposed to a wide range of chemicals, termed the chemical "exposome". A comprehensive, discovery analysis of the associations of multiple chemical families with immune biomarkers is needed. In this study, we tested the associations between environmental chemical concentrations and immune biomarkers. We analyzed the United States cross-sectional National Health and Nutrition Examination Survey (NHANES, 1999-2018). Chemical biomarker concentrations were measured in blood or urine (196 chemicals, 17 chemical families). Immune biomarkers included counts of lymphocytes, neutrophils, monocytes, basophils, eosinophils, red blood cells, white blood cells, and mean corpuscular volume. We conducted separate survey-weighted, multivariable linear regressions of each log2-transformed chemical and immune measure, adjusted for relevant covariates. We accounted for multiple comparisons using a false discovery rate (FDR). Among 45,528 adult participants, the mean age was 45.7 years, 51.4% were female, and 69.3% were Non-Hispanic White. 71 (36.2%) chemicals were associated with at least one of the eight immune biomarkers. The most chemical associations (FDR<0.05) were observed with mean corpuscular volume (36 chemicals) and red blood cell counts (35 chemicals). For example, a doubling in the concentration of cotinine was associated with 0.16 fL (95% CI: 0.15, 0.17; FDR<0.001) increased mean corpuscular volume, and a doubling in the concentration of blood lead was associated with 61,736 increased red blood cells per μL (95% CI: 54,335, 69,138; FDR<0.001). A wide variety of chemicals, such as metals and smoking-related compounds, were highly associated with immune system biomarkers. This environmental chemical-wide association study identified chemicals from multiple families for further toxicological, immunologic, and epidemiological investigation.
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Affiliation(s)
- Lauren Y M Middleton
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Medical School, University of Michigan, Ann Arbor, MI, USA
| | - Vy K Nguyen
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA, USA
| | - John Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Herong Wang
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Sung Kyun Park
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Justin A Colacino
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA; Program in the Environment, College of Literature, Sciences, and the Arts, University of Michigan, Ann Arbor, MI, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
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7
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Sharma SD, Leung SH, Viatte S. Genetics of rheumatoid arthritis. Best Pract Res Clin Rheumatol 2024:101968. [PMID: 38955657 DOI: 10.1016/j.berh.2024.101968] [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: 04/29/2024] [Revised: 06/17/2024] [Accepted: 06/24/2024] [Indexed: 07/04/2024]
Abstract
In the past four decades, a plethora of genetic association studies have been carried out in cohorts of patients with rheumatoid arthritis. These studies have highlighted key aspects of disease pathogenesis and suggested causal mechanisms. In this review, we discuss major advances in our understanding of the genetic architecture of rheumatoid arthritis susceptibility, severity and treatment response and explain how genetics supports current models of disease pathogenesis and outcome. We outline future research directions, like Mendelian randomisation, and present a number of potential avenues for clinical translation, including risk and outcome prediction, patient stratification into treatment response groups and pharmacological applications.
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Affiliation(s)
- Seema D Sharma
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK; NIHR Manchester Musculoskeletal Biomedical Research Centre, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
| | - Shek H Leung
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
| | - Sebastien Viatte
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK; NIHR Manchester Musculoskeletal Biomedical Research Centre, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK; Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
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8
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Zhao Z, Yan P, Zhang X, Yu X, Lv F, Gong M, Yang XA. Causal role of immune cells on cervical cancer onset revealed by two-sample Mendelian randomization study. Sci Rep 2024; 14:14890. [PMID: 38937531 PMCID: PMC11211447 DOI: 10.1038/s41598-024-65957-7] [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: 04/08/2024] [Accepted: 06/25/2024] [Indexed: 06/29/2024] Open
Abstract
Cervical cancer (CC) is a prevalent gynecological cancer worldwide that significantly impacts the quality of life and the physical and mental well-being of women. However, there have been limited studies utilizing Mendelian randomization (MR) analysis to investigate the connection between immune cells and CC. This study is to investigate the causal effects of immune traits on CC and non-neoplastic conditions of the cervix. The GWAS data for 731 immunophenotypes and six GWAS data for CC from the FinnGen database were downloaded. Subsequently, a two-sample MR analysis was conducted using the MR Egger, Weighted median, Inverse variance weighted (IVW), Simple mode, and Weighted mode methods. Our study has identified the potential causal effects of immune traits on inflammatory diseases of the cervix, other noninflammatory disorders of the cervix uteri, carcinoma in situ of cervix uteri, adenocarcinomas of cervix, squamous cell neoplasms and carcinoma of cervix, as well as malignant neoplasm of the cervix uteri, with the respective numbers being 8, 6, 11, 8, 23, and 12, respectively. A strong correlation between classic monocytes and various cervical diseases was revealed. Furthermore, we discovered that B cells expressing BAFF-R have the ability to impede the advancement of malignant CC, specifically squamous cell neoplasms and carcinoma of cervix. Our study has demonstrated a significant association between immune traits and both CC and non-neoplastic conditions of the cervix through two-sample Mendelian randomization, providing valuable insights for future clinical research.
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Affiliation(s)
- Zicheng Zhao
- Laboratory of Genetic Engineering and Genomics, School of Basic Medical Sciences, Chengde Medical University, Chengde, 067000, Hebei, China
| | - Pengxian Yan
- Laboratory of Genetic Engineering and Genomics, School of Basic Medical Sciences, Chengde Medical University, Chengde, 067000, Hebei, China
| | - Xiaoyu Zhang
- Laboratory of Genetic Engineering and Genomics, School of Basic Medical Sciences, Chengde Medical University, Chengde, 067000, Hebei, China
- Graduate School of Chengde Medical University, Chengde, 067000, China
| | - Xiaomin Yu
- Laboratory of Genetic Engineering and Genomics, School of Basic Medical Sciences, Chengde Medical University, Chengde, 067000, Hebei, China
| | - Fengchun Lv
- Laboratory of Genetic Engineering and Genomics, School of Basic Medical Sciences, Chengde Medical University, Chengde, 067000, Hebei, China
| | - Mingyu Gong
- Laboratory of Genetic Engineering and Genomics, School of Basic Medical Sciences, Chengde Medical University, Chengde, 067000, Hebei, China
| | - Xiu-An Yang
- Laboratory of Genetic Engineering and Genomics, School of Basic Medical Sciences, Chengde Medical University, Chengde, 067000, Hebei, China.
- Hebei Key Laboratory of Nerve Injury and Repair, Chengde Medical University, Chengde, 067000, China.
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9
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Oliveira TY, Merkenschlager J, Eisenreich T, Bortolatto J, Yao KH, Gatti DM, Churchill GA, Nussenzweig MC, Breton G. Quantitative trait loci mapping provides insights into the genetic regulation of dendritic cell numbers in mouse tissues. Cell Rep 2024; 43:114296. [PMID: 38823019 DOI: 10.1016/j.celrep.2024.114296] [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: 12/07/2023] [Revised: 04/02/2024] [Accepted: 05/14/2024] [Indexed: 06/03/2024] Open
Abstract
To explore the influence of genetics on homeostatic regulation of dendritic cell (DC) numbers, we present a screen of DCs and their progenitors in lymphoid and non-lymphoid tissues in Collaborative Cross (CC) and Diversity Outbred (DO) mice. We report 30 and 71 loci with logarithm of the odds (LOD) scores >8.18 and ranging from 6.67 to 8.19, respectively. The analysis reveals the highly polygenic and pleiotropic architecture of this complex trait, including many of the previously identified genetic regulators of DC development and maturation. Two SNPs in genes potentially underlying variation in DC homeostasis, a splice variant in Gramd4 (rs235532740) and a missense variant in Orai3 (rs216659754), are confirmed by gene editing using CRISPR-Cas9. Gramd4 is a central regulator of DC homeostasis that impacts the entire DC lineage, and Orai3 regulates cDC2 numbers in tissues. Overall, the data reveal a large number of candidate genes regulating DC homeostasis in vivo.
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Affiliation(s)
- Thiago Y Oliveira
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA
| | - Julia Merkenschlager
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA
| | - Thomas Eisenreich
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA
| | - Juliana Bortolatto
- Laboratory of Lymphocyte Dynamics, The Rockefeller University, New York, NY 10065, USA
| | - Kai-Hui Yao
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA
| | | | | | - Michel C Nussenzweig
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA; Howard Hughes Medical Institute (HHMI), The Rockefeller University, New York, NY 10065, USA.
| | - Gaëlle Breton
- Laboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA.
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10
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Rakebrandt N, Yassini N, Kolz A, Schorer M, Lambert K, Goljat E, Estrada Brull A, Rauld C, Balazs Z, Krauthammer M, Carballido JM, Peters A, Joller N. Innate acting memory Th1 cells modulate heterologous diseases. Proc Natl Acad Sci U S A 2024; 121:e2312837121. [PMID: 38838013 PMCID: PMC11181110 DOI: 10.1073/pnas.2312837121] [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: 07/26/2023] [Accepted: 05/08/2024] [Indexed: 06/07/2024] Open
Abstract
Through immune memory, infections have a lasting effect on the host. While memory cells enable accelerated and enhanced responses upon rechallenge with the same pathogen, their impact on susceptibility to unrelated diseases is unclear. We identify a subset of memory T helper 1 (Th1) cells termed innate acting memory T (TIA) cells that originate from a viral infection and produce IFN-γ with innate kinetics upon heterologous challenge in vivo. Activation of memory TIA cells is induced in response to IL-12 in combination with IL-18 or IL-33 but is TCR independent. Rapid IFN-γ production by memory TIA cells is protective in subsequent heterologous challenge with the bacterial pathogen Legionella pneumophila. In contrast, antigen-independent reactivation of CD4+ memory TIA cells accelerates disease onset in an autoimmune model of multiple sclerosis. Our findings demonstrate that memory Th1 cells can acquire additional TCR-independent functionality to mount rapid, innate-like responses that modulate susceptibility to heterologous challenges.
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Affiliation(s)
- Nikolas Rakebrandt
- Institute of Experimental Immunology, University of Zurich, 8057Zurich, Switzerland
| | - Nima Yassini
- Institute of Experimental Immunology, University of Zurich, 8057Zurich, Switzerland
- Department of Quantitative Biomedicine, University of Zurich, 8057Zurich, Switzerland
| | - Anna Kolz
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians-Universität München, 82152Planegg, Germany
| | - Michelle Schorer
- Institute of Experimental Immunology, University of Zurich, 8057Zurich, Switzerland
| | - Katharina Lambert
- Institute of Experimental Immunology, University of Zurich, 8057Zurich, Switzerland
| | - Eva Goljat
- Department of Quantitative Biomedicine, University of Zurich, 8057Zurich, Switzerland
| | - Anna Estrada Brull
- Department of Quantitative Biomedicine, University of Zurich, 8057Zurich, Switzerland
| | - Celine Rauld
- Novartis Biomedical Research, 4002Basel, Switzerland
| | - Zsolt Balazs
- Department of Quantitative Biomedicine, University of Zurich, 8057Zurich, Switzerland
| | - Michael Krauthammer
- Department of Quantitative Biomedicine, University of Zurich, 8057Zurich, Switzerland
| | | | - Anneli Peters
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians-Universität München, 82152Planegg, Germany
- Biomedical Center, Faculty of Medicine, Ludwig-Maximilians-Universität München, 82152Planegg, Germany
| | - Nicole Joller
- Institute of Experimental Immunology, University of Zurich, 8057Zurich, Switzerland
- Department of Quantitative Biomedicine, University of Zurich, 8057Zurich, Switzerland
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11
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Benjamin KJM, Chen Q, Eagles NJ, Huuki-Myers LA, Collado-Torres L, Stolz JM, Pertea G, Shin JH, Paquola ACM, Hyde TM, Kleinman JE, Jaffe AE, Han S, Weinberger DR. Analysis of gene expression in the postmortem brain of neurotypical Black Americans reveals contributions of genetic ancestry. Nat Neurosci 2024; 27:1064-1074. [PMID: 38769152 PMCID: PMC11156587 DOI: 10.1038/s41593-024-01636-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 03/29/2024] [Indexed: 05/22/2024]
Abstract
Ancestral differences in genomic variation affect the regulation of gene expression; however, most gene expression studies have been limited to European ancestry samples or adjusted to identify ancestry-independent associations. Here, we instead examined the impact of genetic ancestry on gene expression and DNA methylation in the postmortem brain tissue of admixed Black American neurotypical individuals to identify ancestry-dependent and ancestry-independent contributions. Ancestry-associated differentially expressed genes (DEGs), transcripts and gene networks, while notably not implicating neurons, are enriched for genes related to the immune response and vascular tissue and explain up to 26% of heritability for ischemic stroke, 27% of heritability for Parkinson disease and 30% of heritability for Alzheimer's disease. Ancestry-associated DEGs also show general enrichment for the heritability of diverse immune-related traits but depletion for psychiatric-related traits. We also compared Black and non-Hispanic white Americans, confirming most ancestry-associated DEGs. Our results delineate the extent to which genetic ancestry affects differences in gene expression in the human brain and the implications for brain illness risk.
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Affiliation(s)
- Kynon J M Benjamin
- Lieber Institute for Brain Development, Baltimore, MD, USA.
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Qiang Chen
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | | | | | - Leonardo Collado-Torres
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Joshua M Stolz
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Geo Pertea
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Joo Heon Shin
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Apuã C M Paquola
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas M Hyde
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joel E Kleinman
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrew E Jaffe
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Neumora Therapeutics, Watertown, MA, USA
| | - Shizhong Han
- Lieber Institute for Brain Development, Baltimore, MD, USA.
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Baltimore, MD, USA.
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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12
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Bister J, Filipovic I, Sun D, Crona-Guterstam Y, Cornillet M, Ponzetta A, Michaëlsson J, Gidlöf S, Ivarsson MA, Strunz B, Björkström NK. Tissue-specific nonheritable influences drive endometrial immune system variation. Sci Immunol 2024; 9:eadj7168. [PMID: 38579017 DOI: 10.1126/sciimmunol.adj7168] [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: 07/12/2023] [Accepted: 03/11/2024] [Indexed: 04/07/2024]
Abstract
Although human twin studies have revealed the combined contribution of heritable and environmental factors in shaping immune system variability in blood, the contribution of these factors to immune system variability in tissues remains unexplored. The human uterus undergoes constant regeneration and is exposed to distinct environmental factors. To assess uterine immune system variation, we performed a system-level analysis of endometrial and peripheral blood immune cells in monozygotic twins. Although most immune cell phenotypes in peripheral blood showed high genetic heritability, more variation was found in endometrial immune cells, indicating a stronger influence by environmental factors. Cytomegalovirus infection was identified to influence peripheral blood immune cell variability but had limited effect on endometrial immune cells. Instead, hormonal contraception shaped the local endometrial milieu and immune cell composition with minor influence on the systemic immune system. These results highlight that the magnitude of human immune system variation and factors influencing it can be tissue specific.
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Affiliation(s)
- Jonna Bister
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Iva Filipovic
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Dan Sun
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Ylva Crona-Guterstam
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Martin Cornillet
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Andrea Ponzetta
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Jakob Michaëlsson
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Sebastian Gidlöf
- Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
- Department of Gynecology and Reproductive Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Martin A Ivarsson
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Benedikt Strunz
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Niklas K Björkström
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
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13
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Forabosco P, Pala M, Crobu F, Diana MA, Marongiu M, Cusano R, Angius A, Steri M, Orrù V, Schlessinger D, Fiorillo E, Devoto M, Cucca F. Transcriptome organization of white blood cells through gene co-expression network analysis in a large RNA-seq dataset. Front Immunol 2024; 15:1350111. [PMID: 38629067 PMCID: PMC11018966 DOI: 10.3389/fimmu.2024.1350111] [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: 12/06/2023] [Accepted: 03/13/2024] [Indexed: 04/19/2024] Open
Abstract
Gene co-expression network analysis enables identification of biologically meaningful clusters of co-regulated genes (modules) in an unsupervised manner. We present here the largest study conducted thus far of co-expression networks in white blood cells (WBC) based on RNA-seq data from 624 individuals. We identify 41 modules, 13 of them related to specific immune-related functions and cell types (e.g. neutrophils, B and T cells, NK cells, and plasmacytoid dendritic cells); we highlight biologically relevant lncRNAs for each annotated module of co-expressed genes. We further characterize with unprecedented resolution the modules in T cell sub-types, through the availability of 95 immune phenotypes obtained by flow cytometry in the same individuals. This study provides novel insights into the transcriptional architecture of human leukocytes, showing how network analysis can advance our understanding of coding and non-coding gene interactions in immune system cells.
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Affiliation(s)
- Paola Forabosco
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Mauro Pala
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Francesca Crobu
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Maria Antonietta Diana
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Mara Marongiu
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Roberto Cusano
- CRS4-Next Generation Sequencing (NGS) Core, Parco POLARIS, Cagliari, Italy
| | - Andrea Angius
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Maristella Steri
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Valeria Orrù
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - David Schlessinger
- Laboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health (NIH), Baltimore, MA, United States
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Marcella Devoto
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
- Dipartimento di Medicina Traslazionale e di Precisione, Università Sapienza, Roma, Italy
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
- Dipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari, Italy
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14
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Passaro A, Al Bakir M, Hamilton EG, Diehn M, André F, Roy-Chowdhuri S, Mountzios G, Wistuba II, Swanton C, Peters S. Cancer biomarkers: Emerging trends and clinical implications for personalized treatment. Cell 2024; 187:1617-1635. [PMID: 38552610 PMCID: PMC7616034 DOI: 10.1016/j.cell.2024.02.041] [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] [Received: 12/13/2023] [Revised: 02/21/2024] [Accepted: 02/28/2024] [Indexed: 04/02/2024]
Abstract
The integration of cancer biomarkers into oncology has revolutionized cancer treatment, yielding remarkable advancements in cancer therapeutics and the prognosis of cancer patients. The development of personalized medicine represents a turning point and a new paradigm in cancer management, as biomarkers enable oncologists to tailor treatments based on the unique molecular profile of each patient's tumor. In this review, we discuss the scientific milestones of cancer biomarkers and explore future possibilities to improve the management of patients with solid tumors. This progress is primarily attributed to the biological characterization of cancers, advancements in testing methodologies, elucidation of the immune microenvironment, and the ability to profile circulating tumor fractions. Integrating these insights promises to continually advance the precision oncology field, fostering better patient outcomes.
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Affiliation(s)
- Antonio Passaro
- Division of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Maise Al Bakir
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Emily G Hamilton
- Department of Radiation Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Fabrice André
- Gustave-Roussy Cancer Center, Paris Saclay University, Villejuif, France
| | - Sinchita Roy-Chowdhuri
- Department of Anatomic Pathology and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Giannis Mountzios
- Fourth Department of Medical Oncology and Clinical Trials Unit, Henry Dunant Hospital Center, Athens, Greece
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK
| | - Solange Peters
- Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
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15
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Kim T, Martínez-Bonet M, Wang Q, Hackert N, Sparks JA, Baglaenko Y, Koh B, Darbousset R, Laza-Briviesca R, Chen X, Aguiar VRC, Chiu DJ, Westra HJ, Gutierrez-Arcelus M, Weirauch MT, Raychaudhuri S, Rao DA, Nigrovic PA. Non-coding autoimmune risk variant defines role for ICOS in T peripheral helper cell development. Nat Commun 2024; 15:2150. [PMID: 38459032 PMCID: PMC10923805 DOI: 10.1038/s41467-024-46457-8] [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: 01/27/2023] [Accepted: 02/26/2024] [Indexed: 03/10/2024] Open
Abstract
Fine-mapping and functional studies implicate rs117701653, a non-coding single nucleotide polymorphism in the CD28/CTLA4/ICOS locus, as a risk variant for rheumatoid arthritis and type 1 diabetes. Here, using DNA pulldown, mass spectrometry, genome editing and eQTL analysis, we establish that the disease-associated risk allele is functional, reducing affinity for the inhibitory chromosomal regulator SMCHD1 to enhance expression of inducible T-cell costimulator (ICOS) in memory CD4+ T cells from healthy donors. Higher ICOS expression is paralleled by an increase in circulating T peripheral helper (Tph) cells and, in rheumatoid arthritis patients, of blood and joint fluid Tph cells as well as circulating plasmablasts. Correspondingly, ICOS ligation and carriage of the rs117701653 risk allele accelerate T cell differentiation into CXCR5-PD-1high Tph cells producing IL-21 and CXCL13. Thus, mechanistic dissection of a functional non-coding variant in human autoimmunity discloses a previously undefined pathway through which ICOS regulates Tph development and abundance.
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Affiliation(s)
- Taehyeung Kim
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marta Martínez-Bonet
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Laboratory of Immune-regulation, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Qiang Wang
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicolaj Hackert
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology, Department of Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- Institute for Immunology, Heidelberg University Hospital, Heidelberg, Germany
| | - Jeffrey A Sparks
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yuriy Baglaenko
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Byunghee Koh
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Roxane Darbousset
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Raquel Laza-Briviesca
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Xiaoting Chen
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Medical Center, Cincinnati, OH, USA
| | - Vitor R C Aguiar
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Darren J Chiu
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Harm-Jan Westra
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, The Netherlands
| | - Maria Gutierrez-Arcelus
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Medical Center, Cincinnati, OH, USA
- Divisions of Human Genetics, Biomedical Informatics, and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Soumya Raychaudhuri
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Deepak A Rao
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Peter A Nigrovic
- Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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16
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Dott T, Culina S, Chemali R, Mansour CA, Dubois F, Jagla B, Doisne JM, Rogge L, Huetz F, Jönsson F, Commere PH, Di Santo J, Terrier B, Quintana-Murci L, Duffy D, Hasan M. Standardized high-dimensional spectral cytometry protocol and panels for whole blood immune phenotyping in clinical and translational studies. Cytometry A 2024; 105:124-138. [PMID: 37751141 DOI: 10.1002/cyto.a.24801] [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: 07/18/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 09/27/2023]
Abstract
Flow cytometry is the method of choice for immunophenotyping in the context of clinical, translational, and systems immunology studies. Among the latter, the Milieu Intérieur (MI) project aims at defining the boundaries of a healthy immune response to identify determinants of immune response variation. MI used immunophenotyping of a 1000 healthy donor cohort by flow cytometry as a principal outcome for immune variance at steady state. New generation spectral cytometers now enable high-dimensional immune cell characterization from small sample volumes. Therefore, for the MI 10-year follow up study, we have developed two high-dimensional spectral flow cytometry panels for deep characterization of innate and adaptive whole blood immune cells (35 and 34 fluorescent markers, respectively). We have standardized the protocol for sample handling, staining, acquisition, and data analysis. This approach enables the reproducible quantification of over 182 immune cell phenotypes at a single site. We have applied the protocol to discern minor differences between healthy and patient samples and validated its value for application in immunomonitoring studies. Our protocol is currently used for characterization of the impact of age and environmental factors on peripheral blood immune phenotypes of >400 donors from the initial MI cohort.
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Affiliation(s)
- Tom Dott
- Cytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Slobodan Culina
- Cytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France
| | - Rene Chemali
- Cytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France
| | | | - Florian Dubois
- Cytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Bernd Jagla
- Cytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France
- Bioinformatics and Biostatistics Hub, Institut Pasteur, Université Paris Cité, Paris, France
| | - Jean Marc Doisne
- Innate Immunity Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Lars Rogge
- Immunoregulation Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - François Huetz
- Unit of Antibodies in Therapy and Pathology, INSERM UMR1222, Institut Pasteur, Université de Paris Cité, Paris, France
| | - Friederike Jönsson
- Unit of Antibodies in Therapy and Pathology, INSERM UMR1222, Institut Pasteur, Université de Paris Cité, Paris, France
- CNRS, Paris, France
| | - Pierre-Henri Commere
- Cytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France
| | - James Di Santo
- Innate Immunity Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | | | - Lluis Quintana-Murci
- Human Evolutionary Genetics Unit, CNRS, Institut Pasteur, Université Paris Cité, UMR2000, Paris, France
| | - Darragh Duffy
- Cytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Milena Hasan
- Cytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France
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17
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Souquette A, Thomas PG. Variation in the basal immune state and implications for disease. eLife 2024; 13:e90091. [PMID: 38275224 PMCID: PMC10817719 DOI: 10.7554/elife.90091] [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: 06/13/2023] [Accepted: 01/21/2024] [Indexed: 01/27/2024] Open
Abstract
Analysis of pre-existing immunity and its effects on acute infection often focus on memory responses associated with a prior infectious exposure. However, memory responses occur in the context of the overall immune state and leukocytes must interact with their microenvironment and other immune cells. Thus, it is important to also consider non-antigen-specific factors which shape the composite basal state and functional capacity of the immune system, termed here as I0 ('I naught'). In this review, we discuss the determinants of I0. Utilizing influenza virus as a model, we then consider the effect of I0 on susceptibility to infection and disease severity. Lastly, we outline a mathematical framework and demonstrate how researchers can build and tailor models to specific needs. Understanding how diverse factors uniquely and collectively impact immune competence will provide valuable insights into mechanisms of immune variation, aid in screening for high-risk populations, and promote the development of broadly applicable prophylactic and therapeutic treatments.
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Affiliation(s)
- Aisha Souquette
- Department of Immunology, St. Jude Children's Research HospitalMemphisUnited States
| | - Paul G Thomas
- Department of Immunology, St. Jude Children's Research HospitalMemphisUnited States
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18
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Sears T, Pagadala M, Castro A, Lee KH, Kong J, Tanaka K, Lippman S, Zanetti M, Carter H. Integrated germline and somatic features reveal divergent immune pathways driving ICB response. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.12.575430. [PMID: 38293085 PMCID: PMC10827124 DOI: 10.1101/2024.01.12.575430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Immune Checkpoint Blockade (ICB) has revolutionized cancer treatment, however mechanisms determining patient response remain poorly understood. Here we used machine learning to predict ICB response from germline and somatic biomarkers and interpreted the learned model to uncover putative mechanisms driving superior outcomes. Patients with higher T follicular helper infiltrates were robust to defects in the class-I Major Histocompatibility Complex (MHC-I). Further investigation uncovered different ICB responses in MHC-I versus MHC-II neoantigen reliant tumors across patients. Despite similar response rates, MHC-II reliant responses were associated with significantly longer durable clinical benefit (Discovery: Median OS=63.6 vs. 34.5 months P=0.0074; Validation: Median OS=37.5 vs. 33.1 months, P=0.040). Characteristics of the tumor immune microenvironment reflected MHC neoantigen reliance, and analysis of immune checkpoints revealed LAG3 as a potential target in MHC-II but not MHC-I reliant responses. This study highlights the value of interpretable machine learning models in elucidating the biological basis of therapy responses.
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Affiliation(s)
- Timothy Sears
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA USA
| | - Meghana Pagadala
- Biomedical Sciences Program, University of California San Diego, La Jolla, CA,, USA
| | - Andrea Castro
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK
| | - Ko-Han Lee
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA USA
| | - JungHo Kong
- Division of Genomics and Precision Medicine, Department of Medicine, University of California San Diego, La Jolla, CA USA
| | - Kairi Tanaka
- School of Biological Sciences, University of California San Diego, La Jolla, CA USA
| | - Scott Lippman
- Moores Cancer Center, University of California San Diego, La Jolla, CA USA
| | - Maurizio Zanetti
- Moores Cancer Center, University of California San Diego, La Jolla, CA USA
- The Laboratory of Immunology, Moores Cancer Center and Department of Medicine, University of California San Diego, La Jolla, CA USA
| | - Hannah Carter
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA USA
- The Laboratory of Immunology, Moores Cancer Center and Department of Medicine, University of California San Diego, La Jolla, CA USA
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19
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Kott KA, Chan AS, Vernon ST, Hansen T, Kim T, de Dreu M, Gunasegaran B, Murphy AJ, Patrick E, Psaltis PJ, Grieve SM, Yang JY, Fazekas de St Groth B, McGuire HM, Figtree GA. Mass cytometry analysis reveals altered immune profiles in patients with coronary artery disease. Clin Transl Immunology 2023; 12:e1462. [PMID: 37927302 PMCID: PMC10621005 DOI: 10.1002/cti2.1462] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 05/09/2023] [Accepted: 08/09/2023] [Indexed: 11/07/2023] Open
Abstract
Objective The importance of inflammation in atherosclerosis is well accepted, but the role of the adaptive immune system is not yet fully understood. To further explore this, we assessed the circulating immune cell profile of patients with coronary artery disease (CAD) to identify discriminatory features by mass cytometry. Methods Mass cytometry was performed on patient samples from the BioHEART-CT study, gated to detect 82 distinct cell subsets. CT coronary angiograms were analysed to categorise patients as having CAD (CAD+) or having normal coronary arteries (CAD-). Results The discovery cohort included 117 patients (mean age 61 ± 12 years, 49% female); 79 patients (68%) were CAD+. Mass cytometry identified changes in 15 T-cell subsets, with higher numbers of proliferating, highly differentiated and cytotoxic cells and decreases in naïve T cells. Five T-regulatory subsets were related to an age and gender-independent increase in the odds of CAD incidence when expressing CCR2 (OR 1.12), CCR4 (OR 1.08), CD38 and CD45RO (OR 1.13), HLA-DR (OR 1.06) and Ki67 (OR 1.22). Markers of proliferation and differentiation were also increased within B cells, while plasmacytoid dendritic cells were decreased. This combination of changes was assessed using SVM models in discovery and validation cohorts (area under the curve = 0.74 for both), confirming the robust nature of the immune signature detected. Conclusion We identified differences within immune subpopulations of CAD+ patients which are indicative of a systemic immune response to coronary atherosclerosis. This immune signature needs further study via incorporation into risk scoring tools for the precision diagnosis of CAD.
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Affiliation(s)
- Katharine A Kott
- Cardiothoracic and Vascular HealthKolling Institute of Medical ResearchSydneyNSWAustralia
- Department of Cardiology, Royal North Shore HospitalNorthern Sydney Local Health DistrictSydneyNSWAustralia
- Northern Clinical School, Faculty of Medicine and HealthUniversity of SydneySydneyNSWAustralia
| | - Adam S Chan
- School of Mathematics and StatisticsUniversity of SydneySydneyNSWAustralia
- Charles Perkins CentreUniversity of SydneySydneyNSWAustralia
| | - Stephen T Vernon
- Cardiothoracic and Vascular HealthKolling Institute of Medical ResearchSydneyNSWAustralia
- Department of Cardiology, Royal North Shore HospitalNorthern Sydney Local Health DistrictSydneyNSWAustralia
- Northern Clinical School, Faculty of Medicine and HealthUniversity of SydneySydneyNSWAustralia
| | - Thomas Hansen
- Cardiothoracic and Vascular HealthKolling Institute of Medical ResearchSydneyNSWAustralia
| | - Taiyun Kim
- School of Mathematics and StatisticsUniversity of SydneySydneyNSWAustralia
- Charles Perkins CentreUniversity of SydneySydneyNSWAustralia
| | - Macha de Dreu
- School of Medical Sciences, Faculty of Medicine and HealthUniversity of SydneySydneyNSWAustralia
| | - Bavani Gunasegaran
- Charles Perkins CentreUniversity of SydneySydneyNSWAustralia
- School of Medical Sciences, Faculty of Medicine and HealthUniversity of SydneySydneyNSWAustralia
| | | | - Ellis Patrick
- School of Mathematics and StatisticsUniversity of SydneySydneyNSWAustralia
- Charles Perkins CentreUniversity of SydneySydneyNSWAustralia
| | | | - Stuart M Grieve
- Charles Perkins CentreUniversity of SydneySydneyNSWAustralia
- School of Medical Sciences, Faculty of Medicine and HealthUniversity of SydneySydneyNSWAustralia
- Department of RadiologyRoyal Prince Alfred HospitalSydneyNSWAustralia
- Imaging and Phenotyping Laboratory, Charles Perkins Centre, Faculty of Medicine and HealthUniversity of SydneySydneyNSWAustralia
| | - Jean Y Yang
- School of Mathematics and StatisticsUniversity of SydneySydneyNSWAustralia
- Charles Perkins CentreUniversity of SydneySydneyNSWAustralia
| | - Barbara Fazekas de St Groth
- Charles Perkins CentreUniversity of SydneySydneyNSWAustralia
- School of Medical Sciences, Faculty of Medicine and HealthUniversity of SydneySydneyNSWAustralia
- Ramaciotti Facility for Human Systems BiologyUniversity of SydneySydneyNSWAustralia
| | - Helen M McGuire
- Charles Perkins CentreUniversity of SydneySydneyNSWAustralia
- School of Medical Sciences, Faculty of Medicine and HealthUniversity of SydneySydneyNSWAustralia
- Ramaciotti Facility for Human Systems BiologyUniversity of SydneySydneyNSWAustralia
| | - Gemma A Figtree
- Cardiothoracic and Vascular HealthKolling Institute of Medical ResearchSydneyNSWAustralia
- Department of Cardiology, Royal North Shore HospitalNorthern Sydney Local Health DistrictSydneyNSWAustralia
- Northern Clinical School, Faculty of Medicine and HealthUniversity of SydneySydneyNSWAustralia
- Charles Perkins CentreUniversity of SydneySydneyNSWAustralia
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20
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Pichichero ME. Variability of vaccine responsiveness in early life. Cell Immunol 2023; 393-394:104777. [PMID: 37866234 DOI: 10.1016/j.cellimm.2023.104777] [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: 06/15/2023] [Revised: 09/18/2023] [Accepted: 10/14/2023] [Indexed: 10/24/2023]
Abstract
Vaccinations in early life elicit variable antibody and cellular immune responses, sometimes leaving fully vaccinated children unprotected against life-threatening infectious diseases. Specific immune cell populations and immune networks may have a critical period of development and calibration in a window of opportunity occurring during the first 100 days of early life. Among the early life determinants of vaccine responses, this review will focus on modifiable factors involving development of the infant microbiota and metabolome: antibiotic exposure, breast versus formula feeding, and Caesarian section versus vaginal delivery of newborns. How microbiota may serve as natural adjuvants for vaccine responses and how microbiota-derived metabolites influence vaccine responses are also reviewed. Early life poor vaccine responsiveness can be linked to increased infection susceptibility because both phenotypes share similar immunity dysregulation profiles. An early life pre-vaccination endotype, when interventions have the highest potential for success, should be sought that predicts vaccine response trajectories.
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Affiliation(s)
- Michael E Pichichero
- Center for Infectious Diseases and Immunology, Research Institute, Rochester General Hospital, 1425 Portland Ave, Rochester, NY 14621, USA.
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21
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Benjamin KJM, Chen Q, Eagles NJ, Huuki-Myers LA, Collado-Torres L, Stolz JM, Pertea G, Shin JH, Paquola ACM, Hyde TM, Kleinman JE, Jaffe AE, Han S, Weinberger DR. Genetic and environmental contributions to ancestry differences in gene expression in the human brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.28.534458. [PMID: 37034760 PMCID: PMC10081196 DOI: 10.1101/2023.03.28.534458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Ancestral differences in genomic variation are determining factors in gene regulation; however, most gene expression studies have been limited to European ancestry samples or adjusted for ancestry to identify ancestry-independent associations. We instead examined the impact of genetic ancestry on gene expression and DNA methylation (DNAm) in admixed African/Black American neurotypical individuals to untangle effects of genetic and environmental factors. Ancestry-associated differentially expressed genes (DEGs), transcripts, and gene networks, while notably not implicating neurons, are enriched for genes related to immune response and vascular tissue and explain up to 26% of heritability for ischemic stroke, 27% of heritability for Parkinson's disease, and 30% of heritability for Alzhemier's disease. Ancestry-associated DEGs also show general enrichment for heritability of diverse immune-related traits but depletion for psychiatric-related traits. The cell-type enrichments and direction of effects vary by brain region. These DEGs are less evolutionarily constrained and are largely explained by genetic variations; roughly 15% are predicted by DNAm variation implicating environmental exposures. We also compared Black and White Americans, confirming most of these ancestry-associated DEGs. Our results highlight how environment and genetic background affect genetic ancestry differences in gene expression in the human brain and affect risk for brain illness.
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Affiliation(s)
- Kynon J M Benjamin
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Qiang Chen
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | | | | | - Leonardo Collado-Torres
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Joshua M Stolz
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Geo Pertea
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Joo Heon Shin
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Apuã C M Paquola
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas M Hyde
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joel E Kleinman
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrew E Jaffe
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Neumora Therapeutics, Watertown, MA, USA
| | - Shizhong Han
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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22
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Biedrzycka A, Konopiński MK, Popiołek M, Zawiślak M, Bartoszewicz M, Kloch A. Non-MHC immunity genes do not affect parasite load in European invasive populations of common raccoon. Sci Rep 2023; 13:15696. [PMID: 37735177 PMCID: PMC10514260 DOI: 10.1038/s41598-023-41721-1] [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: 02/08/2023] [Accepted: 08/30/2023] [Indexed: 09/23/2023] Open
Abstract
Understanding the evolutionary mechanisms behind invasion success enables predicting which alien species and populations are the most predisposed to become invasive. Parasites may mediate the success of biological invasions through their effect on host fitness. The evolution of increased competitive ability (EICA) hypothesis assumes that escape from parasites during the invasion process allows introduced species to decrease investment in immunity and allocate resources to dispersal and reproduction. Consequently, the selective pressure of parasites on host species in the invasive range should be relaxed. We used the case of the raccoon Procyon lotor invasion in Europe to investigate the effect of gastrointestinal pathogen pressure on non-MHC immune genetic diversity of newly established invasive populations. Despite distinct differences in parasite prevalence between analysed populations, we detected only marginal associations between two analysed SNPs and infection intensity. We argue that the differences in parasite prevalence are better explained by detected earlier associations with specific MHC-DRB alleles. While the escape from native parasites seems to allow decreased investment in overall immunity, which relaxes selective pressure imposed on immune genes, a wide range of MHC variants maintained in the invasive range may protect from newly encountered parasites.
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Affiliation(s)
- Aleksandra Biedrzycka
- Institute of Nature Conservation, Polish Academy of Sciences, Al. Mickiewicza 33, 31-120, Kraków, Poland.
| | - Maciej K Konopiński
- Institute of Nature Conservation, Polish Academy of Sciences, Al. Mickiewicza 33, 31-120, Kraków, Poland
| | - Marcin Popiołek
- Department of Parasitology, Faculty of Biological Sciences, University of Wrocław, Przybyszewskiego 63/67, 51-148, Wrocław, Poland
| | - Marlena Zawiślak
- Department of Parasitology, Faculty of Biological Sciences, University of Wrocław, Przybyszewskiego 63/67, 51-148, Wrocław, Poland
| | | | - Agnieszka Kloch
- Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-089, Warszawa, Poland
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23
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Riley-Gillis B, Tsaih SW, King E, Wollenhaupt S, Reeb J, Peck AR, Wackman K, Lemke A, Rui H, Dezso Z, Flister MJ. Machine learning reveals genetic modifiers of the immune microenvironment of cancer. iScience 2023; 26:107576. [PMID: 37664640 PMCID: PMC10470213 DOI: 10.1016/j.isci.2023.107576] [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: 01/06/2023] [Revised: 05/01/2023] [Accepted: 08/04/2023] [Indexed: 09/05/2023] Open
Abstract
Heritability in the immune tumor microenvironment (iTME) has been widely observed yet remains largely uncharacterized. Here, we developed a machine learning approach to map iTME modifiers within loci from genome-wide association studies (GWASs) for breast cancer (BrCa) incidence. A random forest model was trained on a positive set of immune-oncology (I-O) targets, and then used to assign I-O target probability scores to 1,362 candidate genes in linkage disequilibrium with 155 BrCa GWAS loci. Cluster analysis of the most probable candidates revealed two subfamilies of genes related to effector functions and adaptive immune responses, suggesting that iTME modifiers impact multiple aspects of anticancer immunity. Two of the top ranking BrCa candidates, LSP1 and TLR1, were orthogonally validated as iTME modifiers using BrCa patient biopsies and comparative mapping studies, respectively. Collectively, these data demonstrate a robust and flexible framework for functionally fine-mapping GWAS risk loci to identify translatable therapeutic targets.
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Affiliation(s)
- Bridget Riley-Gillis
- Genomics Research Center, AbbVie Inc, 1 North Waukegan Road, North Chicago, IL 60064, USA
| | - Shirng-Wern Tsaih
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Emily King
- Genomics Research Center, AbbVie Inc, 1 North Waukegan Road, North Chicago, IL 60064, USA
| | - Sabrina Wollenhaupt
- Information Research, AbbVie Deutschland GmbH & Co. KG, 67061, Knollstrasse, Ludwigshafen, Germany
| | - Jonas Reeb
- Information Research, AbbVie Deutschland GmbH & Co. KG, 67061, Knollstrasse, Ludwigshafen, Germany
| | - Amy R. Peck
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Kelsey Wackman
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Angela Lemke
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Hallgeir Rui
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Zoltan Dezso
- Genomics Research Center, AbbVie Bay Area, 1000 Gateway Boulevard, South San Francisco, CA 94080, USA
| | - Michael J. Flister
- Genomics Research Center, AbbVie Inc, 1 North Waukegan Road, North Chicago, IL 60064, USA
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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24
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Bruse N, Jansen A, Gerretsen J, Rijbroek D, Wienholts K, Arron M, van Goor H, Ederveen THA, Pickkers P, Kox M. The gut microbiota composition has no predictive value for the endotoxin-induced immune response or development of endotoxin tolerance in humans invivo. Microbes Infect 2023; 25:105174. [PMID: 37348752 DOI: 10.1016/j.micinf.2023.105174] [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: 03/02/2023] [Revised: 05/23/2023] [Accepted: 06/16/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND It is largely unknown whether the gut microbiome regulates immune responses in humans. We determined relationships between the microbiota composition and immunological phenotypes in 108 healthy volunteers, using 16S sequencing, an ex vivo monocyte challenge model, and an in vivo challenge model of systemic inflammation induced by lipopolysaccharide (LPS). RESULTS Significant associations were observed between the microbiota composition and ex vivo monocytic cytokine responses induced by several stimuli, most notably IL-10 production induced by Pam3Cys, Pseudomonas aeruginosa and Candida albicans, although the explained variance was rather low (0.3-4.8%). Furthermore, a number of pairwise correlations between Blautia, Bacteroides and Prevotella genera and cytokine production induced by these stimuli were identified. LPS administration induced a profound transient in vivo inflammatory response. A second LPS challenge one week after the first resulted in a severely blunted response, reflecting endotoxin tolerance. However, no significant relationships between microbiota composition and in vivo parameters of inflammation or tolerance were found (explained variance ranging from 0.4 to 1.5%, ns). CONCLUSIONS The gut microbiota composition explains a limited degree of variance in ex vivo monocytic cytokine responses to several pathogenic stimuli, but no relationships with the LPS-induced in vivo immune response or tolerance was observed.
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Affiliation(s)
- Niklas Bruse
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Intensive Care Medicine, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Aron Jansen
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Intensive Care Medicine, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Jelle Gerretsen
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Intensive Care Medicine, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Danielle Rijbroek
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Intensive Care Medicine, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Kiedo Wienholts
- Department of Surgery, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Amsterdam UMC Location University of Amsterdam, Surgery, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands; Cancer Center Amsterdam, Imaging and Therapy, De Boelelaan 1118, 1081 HV Amsterdam, the Netherlands
| | - Melissa Arron
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Intensive Care Medicine, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Department of Surgery, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Harry van Goor
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Intensive Care Medicine, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Department of Surgery, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Thomas H A Ederveen
- Center for Molecular and Biomolecular Informatics (CMBI), Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Peter Pickkers
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Intensive Care Medicine, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Matthijs Kox
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Intensive Care Medicine, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands.
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25
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Mettelman RC, Souquette A, Van de Velde LA, Vegesana K, Allen EK, Kackos CM, Trifkovic S, DeBeauchamp J, Wilson TL, St James DG, Menon SS, Wood T, Jelley L, Webby RJ, Huang QS, Thomas PG. Baseline innate and T cell populations are correlates of protection against symptomatic influenza virus infection independent of serology. Nat Immunol 2023; 24:1511-1526. [PMID: 37592015 PMCID: PMC10566627 DOI: 10.1038/s41590-023-01590-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 07/13/2023] [Indexed: 08/19/2023]
Abstract
Evidence suggests that innate and adaptive cellular responses mediate resistance to the influenza virus and confer protection after vaccination. However, few studies have resolved the contribution of cellular responses within the context of preexisting antibody titers. Here, we measured the peripheral immune profiles of 206 vaccinated or unvaccinated adults to determine how baseline variations in the cellular and humoral immune compartments contribute independently or synergistically to the risk of developing symptomatic influenza. Protection correlated with diverse and polyfunctional CD4+ and CD8+ T, circulating T follicular helper, T helper type 17, myeloid dendritic and CD16+ natural killer (NK) cell subsets. Conversely, increased susceptibility was predominantly attributed to nonspecific inflammatory populations, including γδ T cells and activated CD16- NK cells, as well as TNFα+ single-cytokine-producing CD8+ T cells. Multivariate and predictive modeling indicated that cellular subsets (1) work synergistically with humoral immunity to confer protection, (2) improve model performance over demographic and serologic factors alone and (3) comprise the most important predictive covariates. Together, these results demonstrate that preinfection peripheral cell composition improves the prediction of symptomatic influenza susceptibility over vaccination, demographics or serology alone.
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Affiliation(s)
- Robert C Mettelman
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Aisha Souquette
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Lee-Ann Van de Velde
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Kasi Vegesana
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - E Kaitlynn Allen
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Christina M Kackos
- Department of Host-Microbe Interactions, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Sanja Trifkovic
- Department of Host-Microbe Interactions, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jennifer DeBeauchamp
- Department of Host-Microbe Interactions, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Taylor L Wilson
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
- Department of Microbiology, Immunology and Biochemistry, College of Graduate Health Sciences, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Deryn G St James
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
- Department of Microbiology, Immunology and Biochemistry, College of Graduate Health Sciences, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Smrithi S Menon
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Timothy Wood
- Institute of Environmental Science and Research Limited (ESR), Wallaceville Science Centre, Upper Hutt, New Zealand
| | - Lauren Jelley
- Institute of Environmental Science and Research Limited (ESR), Wallaceville Science Centre, Upper Hutt, New Zealand
| | - Richard J Webby
- Department of Host-Microbe Interactions, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Q Sue Huang
- Institute of Environmental Science and Research Limited (ESR), Wallaceville Science Centre, Upper Hutt, New Zealand.
| | - Paul G Thomas
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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26
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Kalyakulina A, Yusipov I, Kondakova E, Bacalini MG, Franceschi C, Vedunova M, Ivanchenko M. Small immunological clocks identified by deep learning and gradient boosting. Front Immunol 2023; 14:1177611. [PMID: 37691946 PMCID: PMC10485620 DOI: 10.3389/fimmu.2023.1177611] [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: 03/01/2023] [Accepted: 07/31/2023] [Indexed: 09/12/2023] Open
Abstract
Background The aging process affects all systems of the human body, and the observed increase in inflammatory components affecting the immune system in old age can lead to the development of age-associated diseases and systemic inflammation. Results We propose a small clock model SImAge based on a limited number of immunological biomarkers. To regress the chronological age from cytokine data, we first use a baseline Elastic Net model, gradient-boosted decision trees models, and several deep neural network architectures. For the full dataset of 46 immunological parameters, DANet, SAINT, FT-Transformer and TabNet models showed the best results for the test dataset. Dimensionality reduction of these models with SHAP values revealed the 10 most age-associated immunological parameters, taken to construct the SImAge small immunological clock. The best result of the SImAge model shown by the FT-Transformer deep neural network model has mean absolute error of 6.94 years and Pearson ρ = 0.939 on the independent test dataset. Explainable artificial intelligence methods allow for explaining the model solution for each individual participant. Conclusions We developed an approach to construct a model of immunological age based on just 10 immunological parameters, coined SImAge, for which the FT-Transformer deep neural network model had proved to be the best choice. The model shows competitive results compared to the published studies on immunological profiles, and takes a smaller number of features as an input. Neural network architectures outperformed gradient-boosted decision trees, and can be recommended in the further analysis of immunological profiles.
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Affiliation(s)
- Alena Kalyakulina
- Research Center for Trusted Artificial Intelligence, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod, Russia
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, Russia
| | - Igor Yusipov
- Research Center for Trusted Artificial Intelligence, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod, Russia
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, Russia
| | - Elena Kondakova
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, Russia
- Institute of Neuroscience, Lobachevsky State University, Nizhny Novgorod, Russia
| | | | - Claudio Franceschi
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod, Russia
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, Russia
| | - Maria Vedunova
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, Russia
| | - Mikhail Ivanchenko
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod, Russia
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, Russia
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27
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Ekdahl L, Arrizabalaga AL, Ali Z, Cafaro C, de Lapuente Portilla AL, Nilsson B. AliGater: a framework for the development of bioinformatic pipelines for large-scale, high-dimensional cytometry data. BIOINFORMATICS ADVANCES 2023; 3:vbad103. [PMID: 37600847 PMCID: PMC10438955 DOI: 10.1093/bioadv/vbad103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 08/22/2023]
Abstract
Motivation AliGater is an open-source framework to accelerate the development of bioinformatic pipelines for the analysis of large-scale, high-dimensional flow cytometry data. AliGater provides a Python package for automatic feature extraction workflows, as well as building blocks to construct analysis pipelines. Results We illustrate the use of AliGater in a high-resolution flow cytometry-based genome-wide association study on 46 immune cell populations in 14 288 individuals. Availability and implementation Source code and documentation at https://github.com/LudvigEk/aligater and https://aligater.readthedocs.io.
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Affiliation(s)
- Ludvig Ekdahl
- Lund Stem Cell Center, Lund University, Lund 221 84, Sweden
- Department of Laboratory Medicine, Lund University, Lund 221 84, Sweden
| | - Antton Lamarca Arrizabalaga
- Lund Stem Cell Center, Lund University, Lund 221 84, Sweden
- Department of Laboratory Medicine, Lund University, Lund 221 84, Sweden
| | - Zain Ali
- Lund Stem Cell Center, Lund University, Lund 221 84, Sweden
- Department of Laboratory Medicine, Lund University, Lund 221 84, Sweden
| | - Caterina Cafaro
- Lund Stem Cell Center, Lund University, Lund 221 84, Sweden
- Department of Laboratory Medicine, Lund University, Lund 221 84, Sweden
| | | | - Björn Nilsson
- Lund Stem Cell Center, Lund University, Lund 221 84, Sweden
- Department of Laboratory Medicine, Lund University, Lund 221 84, Sweden
- Broad Institute, Cambridge, MA 02142, United States
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Cuomo ASE, Nathan A, Raychaudhuri S, MacArthur DG, Powell JE. Single-cell genomics meets human genetics. Nat Rev Genet 2023; 24:535-549. [PMID: 37085594 PMCID: PMC10784789 DOI: 10.1038/s41576-023-00599-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/29/2023] [Indexed: 04/23/2023]
Abstract
Single-cell genomic technologies are revealing the cellular composition, identities and states in tissues at unprecedented resolution. They have now scaled to the point that it is possible to query samples at the population level, across thousands of individuals. Combining single-cell information with genotype data at this scale provides opportunities to link genetic variation to the cellular processes underpinning key aspects of human biology and disease. This strategy has potential implications for disease diagnosis, risk prediction and development of therapeutic solutions. But, effectively integrating large-scale single-cell genomic data, genetic variation and additional phenotypic data will require advances in data generation and analysis methods. As single-cell genetics begins to emerge as a field in its own right, we review its current state and the challenges and opportunities ahead.
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Affiliation(s)
- Anna S E Cuomo
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia.
- Centre for Population Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
| | - Aparna Nathan
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Divisions of Rheumatology and Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Divisions of Rheumatology and Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel G MacArthur
- Centre for Population Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Joseph E Powell
- Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, Australia.
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney, New South Wales, Australia.
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29
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Talwar JV, Laub D, Pagadala MS, Castro A, Lewis M, Luebeck GE, Gorman BR, Pan C, Dong FN, Markianos K, Teerlink CC, Lynch J, Hauger R, Pyarajan S, Tsao PS, Morris GP, Salem RM, Thompson WK, Curtius K, Zanetti M, Carter H. Autoimmune alleles at the major histocompatibility locus modify melanoma susceptibility. Am J Hum Genet 2023; 110:1138-1161. [PMID: 37339630 PMCID: PMC10357503 DOI: 10.1016/j.ajhg.2023.05.013] [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: 07/13/2022] [Revised: 05/20/2023] [Accepted: 05/22/2023] [Indexed: 06/22/2023] Open
Abstract
Autoimmunity and cancer represent two different aspects of immune dysfunction. Autoimmunity is characterized by breakdowns in immune self-tolerance, while impaired immune surveillance can allow for tumorigenesis. The class I major histocompatibility complex (MHC-I), which displays derivatives of the cellular peptidome for immune surveillance by CD8+ T cells, serves as a common genetic link between these conditions. As melanoma-specific CD8+ T cells have been shown to target melanocyte-specific peptide antigens more often than melanoma-specific antigens, we investigated whether vitiligo- and psoriasis-predisposing MHC-I alleles conferred a melanoma-protective effect. In individuals with cutaneous melanoma from both The Cancer Genome Atlas (n = 451) and an independent validation set (n = 586), MHC-I autoimmune-allele carrier status was significantly associated with a later age of melanoma diagnosis. Furthermore, MHC-I autoimmune-allele carriers were significantly associated with decreased risk of developing melanoma in the Million Veteran Program (OR = 0.962, p = 0.024). Existing melanoma polygenic risk scores (PRSs) did not predict autoimmune-allele carrier status, suggesting these alleles provide orthogonal risk-relevant information. Mechanisms of autoimmune protection were neither associated with improved melanoma-driver mutation association nor improved gene-level conserved antigen presentation relative to common alleles. However, autoimmune alleles showed higher affinity relative to common alleles for particular windows of melanocyte-conserved antigens and loss of heterozygosity of autoimmune alleles caused the greatest reduction in presentation for several conserved antigens across individuals with loss of HLA alleles. Overall, this study presents evidence that MHC-I autoimmune-risk alleles modulate melanoma risk unaccounted for by current PRSs.
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Affiliation(s)
- James V Talwar
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA
| | - David Laub
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Meghana S Pagadala
- Biomedical Science Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Andrea Castro
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA
| | - McKenna Lewis
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Georg E Luebeck
- Public Health Sciences Division, Herbold Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Bryan R Gorman
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Booz Allen Hamilton, Inc., McLean, VA 22102, USA
| | - Cuiping Pan
- Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto, CA, USA
| | - Frederick N Dong
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Booz Allen Hamilton, Inc., McLean, VA 22102, USA
| | - Kyriacos Markianos
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02115, USA
| | - Craig C Teerlink
- Department of Veterans Affairs Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, USA; Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Julie Lynch
- Department of Veterans Affairs Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, USA; Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard Hauger
- VA San Diego Healthcare System, La Jolla, CA, USA; Center for Behavioral Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Center of Excellence for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, CA, USA
| | - Saiju Pyarajan
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Department of Medicine, Brigham Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Philip S Tsao
- Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto, CA, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Gerald P Morris
- Department of Pathology, University of California San Diego, La Jolla, CA 92093, USA
| | - Rany M Salem
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093, USA
| | - Wesley K Thompson
- Center for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, OK 74136, USA
| | - Kit Curtius
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Maurizio Zanetti
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; The Laboratory of Immunology, University of California San Diego, La Jolla, CA 92093, USA; Department of Medicine, Division of Hematology and Oncology, University of California San Diego, La Jolla, CA 92093, USA
| | - Hannah Carter
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA.
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Ahuja SK, Manoharan MS, Lee GC, McKinnon LR, Meunier JA, Steri M, Harper N, Fiorillo E, Smith AM, Restrepo MI, Branum AP, Bottomley MJ, Orrù V, Jimenez F, Carrillo A, Pandranki L, Winter CA, Winter LA, Gaitan AA, Moreira AG, Walter EA, Silvestri G, King CL, Zheng YT, Zheng HY, Kimani J, Blake Ball T, Plummer FA, Fowke KR, Harden PN, Wood KJ, Ferris MT, Lund JM, Heise MT, Garrett N, Canady KR, Abdool Karim SS, Little SJ, Gianella S, Smith DM, Letendre S, Richman DD, Cucca F, Trinh H, Sanchez-Reilly S, Hecht JM, Cadena Zuluaga JA, Anzueto A, Pugh JA, Agan BK, Root-Bernstein R, Clark RA, Okulicz JF, He W. Immune resilience despite inflammatory stress promotes longevity and favorable health outcomes including resistance to infection. Nat Commun 2023; 14:3286. [PMID: 37311745 PMCID: PMC10264401 DOI: 10.1038/s41467-023-38238-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 04/17/2023] [Indexed: 06/15/2023] Open
Abstract
Some people remain healthier throughout life than others but the underlying reasons are poorly understood. Here we hypothesize this advantage is attributable in part to optimal immune resilience (IR), defined as the capacity to preserve and/or rapidly restore immune functions that promote disease resistance (immunocompetence) and control inflammation in infectious diseases as well as other causes of inflammatory stress. We gauge IR levels with two distinct peripheral blood metrics that quantify the balance between (i) CD8+ and CD4+ T-cell levels and (ii) gene expression signatures tracking longevity-associated immunocompetence and mortality-associated inflammation. Profiles of IR metrics in ~48,500 individuals collectively indicate that some persons resist degradation of IR both during aging and when challenged with varied inflammatory stressors. With this resistance, preservation of optimal IR tracked (i) a lower risk of HIV acquisition, AIDS development, symptomatic influenza infection, and recurrent skin cancer; (ii) survival during COVID-19 and sepsis; and (iii) longevity. IR degradation is potentially reversible by decreasing inflammatory stress. Overall, we show that optimal IR is a trait observed across the age spectrum, more common in females, and aligned with a specific immunocompetence-inflammation balance linked to favorable immunity-dependent health outcomes. IR metrics and mechanisms have utility both as biomarkers for measuring immune health and for improving health outcomes.
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Affiliation(s)
- Sunil K Ahuja
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA.
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA.
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA.
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA.
| | - Muthu Saravanan Manoharan
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Grace C Lee
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Pharmacotherapy Education and Research Center, School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- College of Pharmacy, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Lyle R McKinnon
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, 4001, South Africa
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Justin A Meunier
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Maristella Steri
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, 09042, Italy
| | - Nathan Harper
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, 09042, Italy
| | - Alisha M Smith
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Marcos I Restrepo
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Anne P Branum
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Matthew J Bottomley
- Transplantation Research Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, OX1 2JD, UK
- Oxford Kidney Unit, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 7LE, UK
| | - Valeria Orrù
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, 09042, Italy
| | - Fabio Jimenez
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Andrew Carrillo
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Lavanya Pandranki
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Caitlyn A Winter
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
- Department of Pediatrics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Lauryn A Winter
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
- Department of Pediatrics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Alvaro A Gaitan
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Alvaro G Moreira
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Pediatrics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Elizabeth A Walter
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Guido Silvestri
- Department of Pathology, Emory University School of Medicine & Emory National Primate Research Center, Atlanta, GA, 30322, USA
| | - Christopher L King
- Center for Global Health and Diseases, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Yong-Tang Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China
- National Resource Center for Non-Human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, China
| | - Hong-Yi Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China
- National Resource Center for Non-Human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, China
| | - Joshua Kimani
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - T Blake Ball
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Francis A Plummer
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Keith R Fowke
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Paul N Harden
- Oxford Kidney Unit, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 7LE, UK
| | - Kathryn J Wood
- Transplantation Research Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, OX1 2JD, UK
| | - Martin T Ferris
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Jennifer M Lund
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Global Health, University of Washington, Seattle, WA, 98195, USA
| | - Mark T Heise
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Nigel Garrett
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, 4001, South Africa
| | - Kristen R Canady
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
| | - Salim S Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, 4001, South Africa
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Susan J Little
- Department of Medicine, University of California, La Jolla, CA, 92093, USA
- San Diego Center for AIDS Research, University of California San Diego, La Jolla, CA, 92093, USA
| | - Sara Gianella
- Department of Medicine, University of California, La Jolla, CA, 92093, USA
- San Diego Center for AIDS Research, University of California San Diego, La Jolla, CA, 92093, USA
| | - Davey M Smith
- Department of Medicine, University of California, La Jolla, CA, 92093, USA
- San Diego Center for AIDS Research, University of California San Diego, La Jolla, CA, 92093, USA
- Veterans Affairs San Diego Healthcare System, San Diego, CA, 92161, USA
| | - Scott Letendre
- Department of Medicine, University of California, La Jolla, CA, 92093, USA
| | - Douglas D Richman
- San Diego Center for AIDS Research, University of California San Diego, La Jolla, CA, 92093, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, 09042, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, 07100, Italy
| | - Hanh Trinh
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
| | - Sandra Sanchez-Reilly
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Joan M Hecht
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Jose A Cadena Zuluaga
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Antonio Anzueto
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Jacqueline A Pugh
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Brian K Agan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, 20817, USA
| | | | - Robert A Clark
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
| | - Jason F Okulicz
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, USA
- Department of Medicine, Infectious Diseases Service, Brooke Army Medical Center, San Antonio, TX, 78234, USA
| | - Weijing He
- VA Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, TX, 78229, USA
- The Foundation for Advancing Veterans' Health Research, San Antonio, TX, 78229, USA
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Iakovliev A, McGurnaghan SJ, Hayward C, Colombo M, Lipschutz D, Spiliopoulou A, Colhoun HM, McKeigue PM. Genome-wide aggregated trans-effects on risk of type 1 diabetes: A test of the "omnigenic" sparse effector hypothesis of complex trait genetics. Am J Hum Genet 2023; 110:913-926. [PMID: 37164005 PMCID: PMC10257008 DOI: 10.1016/j.ajhg.2023.04.003] [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: 12/22/2022] [Accepted: 04/12/2023] [Indexed: 05/12/2023] Open
Abstract
The "omnigenic" hypothesis postulates that the polygenic effects of common SNPs on a typical complex trait are mediated through trans-effects on expression of a relatively sparse set of effector ("core") genes. We tested this hypothesis in a study of 4,964 cases of type 1 diabetes (T1D) and 7,497 controls by using summary statistics to calculate aggregated (excluding the HLA region) trans-scores for gene expression in blood. From associations of T1D with aggregated trans-scores, nine putative core genes were identified, of which three-STAT1, CTLA4 and FOXP3-are genes in which variants cause monogenic forms of autoimmune diabetes. Seven of these genes affect the activity of regulatory T cells, and two are involved in immune responses to microbial lipids. Four T1D-associated genomic regions could be identified as master regulators via trans-effects on gene expression. These results support the sparse effector hypothesis and reshape our understanding of the genetic architecture of T1D.
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Affiliation(s)
- Andrii Iakovliev
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland
| | - Stuart J McGurnaghan
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, University of Edinburgh, Western General Hospital Campus, Crewe Road, Edinburgh EH4 2XUC, Scotland
| | - Caroline Hayward
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, University of Edinburgh, Western General Hospital Campus, Crewe Road, Edinburgh EH4 2XUC, Scotland
| | - Marco Colombo
- University of Leipzig, Medical Faculty, University Hospital for Children and Adolescents, Center for Pediatric Research, Leipzig, Germany
| | - Debby Lipschutz
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, University of Edinburgh, Western General Hospital Campus, Crewe Road, Edinburgh EH4 2XUC, Scotland
| | - Athina Spiliopoulou
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland
| | - Helen M Colhoun
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, University of Edinburgh, Western General Hospital Campus, Crewe Road, Edinburgh EH4 2XUC, Scotland
| | - Paul M McKeigue
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland.
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32
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Pagadala M, Sears TJ, Wu VH, Pérez-Guijarro E, Kim H, Castro A, Talwar JV, Gonzalez-Colin C, Cao S, Schmiedel BJ, Goudarzi S, Kirani D, Au J, Zhang T, Landi T, Salem RM, Morris GP, Harismendy O, Patel SP, Alexandrov LB, Mesirov JP, Zanetti M, Day CP, Fan CC, Thompson WK, Merlino G, Gutkind JS, Vijayanand P, Carter H. Germline modifiers of the tumor immune microenvironment implicate drivers of cancer risk and immunotherapy response. Nat Commun 2023; 14:2744. [PMID: 37173324 PMCID: PMC10182072 DOI: 10.1038/s41467-023-38271-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
With the continued promise of immunotherapy for treating cancer, understanding how host genetics contributes to the tumor immune microenvironment (TIME) is essential to tailoring cancer screening and treatment strategies. Here, we study 1084 eQTLs affecting the TIME found through analysis of The Cancer Genome Atlas and literature curation. These TIME eQTLs are enriched in areas of active transcription, and associate with gene expression in specific immune cell subsets, such as macrophages and dendritic cells. Polygenic score models built with TIME eQTLs reproducibly stratify cancer risk, survival and immune checkpoint blockade (ICB) response across independent cohorts. To assess whether an eQTL-informed approach could reveal potential cancer immunotherapy targets, we inhibit CTSS, a gene implicated by cancer risk and ICB response-associated polygenic models; CTSS inhibition results in slowed tumor growth and extended survival in vivo. These results validate the potential of integrating germline variation and TIME characteristics for uncovering potential targets for immunotherapy.
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Affiliation(s)
- Meghana Pagadala
- Biomedical Sciences Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - Timothy J Sears
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - Victoria H Wu
- Department of Pharmacology, UCSD Moores Cancer Center, La Jolla, CA, 92093, USA
| | - Eva Pérez-Guijarro
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Hyo Kim
- Undergraduate Bioengineering Program, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Andrea Castro
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - James V Talwar
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, 92093, USA
| | | | - Steven Cao
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, 92093, USA
| | | | | | - Divya Kirani
- Undergraduate Biology and Bioinformatics Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - Jessica Au
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Rany M Salem
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, 92093, USA
| | - Gerald P Morris
- Department of Pathology, University of California San Diego, La Jolla, CA, 92093, USA
| | - Olivier Harismendy
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, 92093, USA
- Division of Biomedical Informatics, Department of Medicine, University of California San Diego School of Medicine, La Jolla, CA, 92093, USA
| | - Sandip Pravin Patel
- Center for Personalized Cancer Therapy, Division of Hematology and Oncology, UC San Diego Moores Cancer Center, San Diego, CA, 92037, USA
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, 92093, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Jill P Mesirov
- Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA, 92093, USA
| | - Maurizio Zanetti
- Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA
- The Laboratory of Immunology and Department of Medicine, University of California San Diego, La Jolla, CA, 92093, USA
| | - Chi-Ping Day
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Chun Chieh Fan
- Center for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, OK, 74136, USA
- Department of Radiology, University of California San Diego, La Jolla, CA, 92093, USA
| | - Wesley K Thompson
- Division of Biostatistics, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, 92093, USA
| | - Glenn Merlino
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - J Silvio Gutkind
- Department of Pharmacology, UCSD Moores Cancer Center, La Jolla, CA, 92093, USA
| | | | - Hannah Carter
- Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA.
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA, 92093, USA.
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33
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Cabrera-Serrano AJ, Sánchez-Maldonado JM, ter Horst R, Macauda A, García-Martín P, Benavente Y, Landi S, Clay-Gilmour A, Niazi Y, Espinet B, Rodríguez-Sevilla JJ, Pérez EM, Maffei R, Blanco G, Giaccherini M, Cerhan JR, Marasca R, López-Nevot MÁ, Chen-Liang T, Thomsen H, Gámez I, Campa D, Moreno V, de Sanjosé S, Marcos-Gragera R, García-Álvarez M, Dierssen-Sotos T, Jerez A, Butrym A, Norman AD, Luppi M, Slager SL, Hemminki K, Li Y, Berndt SI, Casabonne D, Alcoceba M, Puiggros A, Netea MG, Försti A, Canzian F, Sainz J. Do GWAS-Identified Risk Variants for Chronic Lymphocytic Leukemia Influence Overall Patient Survival and Disease Progression? Int J Mol Sci 2023; 24:8005. [PMID: 37175717 PMCID: PMC10178669 DOI: 10.3390/ijms24098005] [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: 03/12/2023] [Revised: 04/14/2023] [Accepted: 04/23/2023] [Indexed: 05/15/2023] Open
Abstract
Chronic lymphocytic leukemia (CLL) is the most common leukemia among adults worldwide. Although genome-wide association studies (GWAS) have uncovered the germline genetic component underlying CLL susceptibility, the potential use of GWAS-identified risk variants to predict disease progression and patient survival remains unexplored. Here, we evaluated whether 41 GWAS-identified risk variants for CLL could influence overall survival (OS) and disease progression, defined as time to first treatment (TTFT) in a cohort of 1039 CLL cases ascertained through the CRuCIAL consortium. Although this is the largest study assessing the effect of GWAS-identified susceptibility variants for CLL on OS, we only found a weak association of ten single nucleotide polymorphisms (SNPs) with OS (p < 0.05) that did not remain significant after correction for multiple testing. In line with these results, polygenic risk scores (PRSs) built with these SNPs in the CRuCIAL cohort showed a modest association with OS and a low capacity to predict patient survival, with an area under the receiver operating characteristic curve (AUROC) of 0.57. Similarly, seven SNPs were associated with TTFT (p < 0.05); however, these did not reach the multiple testing significance threshold, and the meta-analysis with previous published data did not confirm any of the associations. As expected, PRSs built with these SNPs showed reduced accuracy in prediction of disease progression (AUROC = 0.62). These results suggest that susceptibility variants for CLL do not impact overall survival and disease progression in CLL patients.
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Affiliation(s)
- Antonio José Cabrera-Serrano
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain; (A.J.C.-S.); (J.M.S.-M.)
- Instituto de Investigación Biosanitaria IBs.Granada, 18012 Granada, Spain
| | - José Manuel Sánchez-Maldonado
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain; (A.J.C.-S.); (J.M.S.-M.)
- Instituto de Investigación Biosanitaria IBs.Granada, 18012 Granada, Spain
| | - Rob ter Horst
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria;
| | - Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.M.); (F.C.)
| | | | - Yolanda Benavente
- Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain; (Y.B.); (V.M.); (S.d.S.); (D.C.)
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), University of Barcelona, 08908 Barcelona, Spain; (R.M.-G.); (T.D.-S.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Stefano Landi
- Department of Biology, University of Pisa, 56126 Pisa, Italy; (S.L.); (M.G.); (D.C.)
| | - Alyssa Clay-Gilmour
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Greenville, SC 29208, USA;
| | - Yasmeen Niazi
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (Y.N.); (A.F.)
- Hopp Children’s Cancer Center (KiTZ), 69120 Heidelberg, Germany
| | - Blanca Espinet
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain; (B.E.); (G.B.); (A.P.)
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain
| | | | - Eva María Pérez
- Hospital Campus de la Salud, PTS, 18016 Granada, Spain; (P.G.-M.); (E.M.P.)
| | - Rossana Maffei
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Policlinico, 41124 Modena, Italy; (R.M.); (R.M.); (M.L.)
| | - Gonzalo Blanco
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain; (B.E.); (G.B.); (A.P.)
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain
| | - Matteo Giaccherini
- Department of Biology, University of Pisa, 56126 Pisa, Italy; (S.L.); (M.G.); (D.C.)
| | - James R. Cerhan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (J.R.C.); (A.D.N.)
| | - Roberto Marasca
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Policlinico, 41124 Modena, Italy; (R.M.); (R.M.); (M.L.)
| | | | - Tzu Chen-Liang
- Hematology Department, Morales Meseguer University Hospital, 30008 Murcia, Spain; (T.C.-L.); (I.G.)
| | | | - Irene Gámez
- Hematology Department, Morales Meseguer University Hospital, 30008 Murcia, Spain; (T.C.-L.); (I.G.)
| | - Daniele Campa
- Department of Biology, University of Pisa, 56126 Pisa, Italy; (S.L.); (M.G.); (D.C.)
| | - Víctor Moreno
- Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain; (Y.B.); (V.M.); (S.d.S.); (D.C.)
- Cancer Prevention and Control Program, Unit of Biomarkers and Susceptibility, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology, 08907 Barcelona, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, 08907 Barcelona, Spain
| | - Silvia de Sanjosé
- Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain; (Y.B.); (V.M.); (S.d.S.); (D.C.)
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), University of Barcelona, 08908 Barcelona, Spain; (R.M.-G.); (T.D.-S.)
| | - Rafael Marcos-Gragera
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), University of Barcelona, 08908 Barcelona, Spain; (R.M.-G.); (T.D.-S.)
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona Biomedical Research Institute (IdiBGi), 17190 Girona, Spain
- Department of Nursing, Universitat de Girona, 17007 Girona, Spain
- Josep Carreras Leukemia Research Institute, 08916 Girona, Spain
| | - María García-Álvarez
- Department of Hematology, University Hospital of Salamanca (HUS/IBSAL), CIBERONC and Cancer Research Institute of Salamanca-IBMCC (USAL-CSIC), 37007 Salamanca, Spain; (M.G.-Á.); (M.A.)
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), University of Barcelona, 08908 Barcelona, Spain; (R.M.-G.); (T.D.-S.)
- Faculty of Medicine, University of Cantabria, 39011 Santander, Spain
| | - Andrés Jerez
- Department of Hematology, Experimental Hematology Unit, Vall d’Hebron Institute of Oncology (VHIO), University Hospital Vall d’Hebron, 08035 Barcelona, Spain;
| | - Aleksandra Butrym
- Department of Cancer Prevention and Therapy, Medical University of Wrocław, 50-556 Wrocław, Poland;
| | - Aaron D. Norman
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (J.R.C.); (A.D.N.)
| | - Mario Luppi
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Policlinico, 41124 Modena, Italy; (R.M.); (R.M.); (M.L.)
| | - Susan L. Slager
- Division of Computational Genomics, Mayo Clinic, Rochester, MN 85054, USA;
- Division of Hematology, Mayo Clinic, Rochester, MN 55905, USA
| | - Kari Hemminki
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany;
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, 30605 Pilsen, Czech Republic
| | - Yang Li
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (Y.L.); (M.G.N.)
- Centre for Individualised Infection Medicine (CiiM) & TWINCORE, Joint Ventures between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), 30625 Hannover, Germany
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20814, USA;
| | - Delphine Casabonne
- Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain; (Y.B.); (V.M.); (S.d.S.); (D.C.)
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), University of Barcelona, 08908 Barcelona, Spain; (R.M.-G.); (T.D.-S.)
| | - Miguel Alcoceba
- Department of Hematology, University Hospital of Salamanca (HUS/IBSAL), CIBERONC and Cancer Research Institute of Salamanca-IBMCC (USAL-CSIC), 37007 Salamanca, Spain; (M.G.-Á.); (M.A.)
| | - Anna Puiggros
- Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain; (B.E.); (G.B.); (A.P.)
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain
| | - Mihai G. Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (Y.L.); (M.G.N.)
- Department for Immunology & Metabolism, Life and Medical Sciences Institute (LIMES), University of Bonn, 53115 Bonn, Germany
| | - Asta Försti
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (Y.N.); (A.F.)
- Hopp Children’s Cancer Center (KiTZ), 69120 Heidelberg, Germany
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; (A.M.); (F.C.)
| | - Juan Sainz
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain; (A.J.C.-S.); (J.M.S.-M.)
- Instituto de Investigación Biosanitaria IBs.Granada, 18012 Granada, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), University of Barcelona, 08908 Barcelona, Spain; (R.M.-G.); (T.D.-S.)
- Department of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada (UGR), 18012 Granada, Spain
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Souquette A, Allen EK, Oshansky CM, Tang L, Wong SS, Jeevan T, Shi L, Pounds S, Elias G, Kuan G, Balmaseda A, Zapata R, Shaw-Saliba K, Damme PV, Tendeloo VV, Dib JC, Ogunjimi B, Webby R, Schultz-Cherry S, Pekosz A, Rothman R, Gordon A, Thomas PG. Integrated Drivers of Basal and Acute Immunity in Diverse Human Populations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.25.534227. [PMID: 36993205 PMCID: PMC10055315 DOI: 10.1101/2023.03.25.534227] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Prior studies have identified genetic, infectious, and biological associations with immune competence and disease severity; however, there have been few integrative analyses of these factors and study populations are often limited in demographic diversity. Utilizing samples from 1,705 individuals in 5 countries, we examined putative determinants of immunity, including: single nucleotide polymorphisms, ancestry informative markers, herpesvirus status, age, and sex. In healthy subjects, we found significant differences in cytokine levels, leukocyte phenotypes, and gene expression. Transcriptional responses also varied by cohort, and the most significant determinant was ancestry. In influenza infected subjects, we found two disease severity immunophenotypes, largely driven by age. Additionally, cytokine regression models show each determinant differentially contributes to acute immune variation, with unique and interactive, location-specific herpesvirus effects. These results provide novel insight into the scope of immune heterogeneity across diverse populations, the integrative effects of factors which drive it, and the consequences for illness outcomes.
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Sánchez-Maldonado JM, Cabrera-Serrano AJ, Chattopadhyay S, Campa D, Garrido MDP, Macauda A, Ter Horst R, Jerez A, Netea MG, Li Y, Hemminki K, Canzian F, Försti A, Sainz J. GWAS-Identified Variants for Obesity Do Not Influence the Risk of Developing Multiple Myeloma: A Population-Based Study and Meta-Analysis. Int J Mol Sci 2023; 24:ijms24076029. [PMID: 37047000 PMCID: PMC10094344 DOI: 10.3390/ijms24076029] [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: 02/25/2023] [Revised: 03/17/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
Multiple myeloma (MM) is an incurable disease characterized by the presence of malignant plasma cells in the bone marrow that secrete specific monoclonal immunoglobulins into the blood. Obesity has been associated with the risk of developing solid and hematological cancers, but its role as a risk factor for MM needs to be further explored. Here, we evaluated whether 32 genome-wide association study (GWAS)-identified variants for obesity were associated with the risk of MM in 4189 German subjects from the German Multiple Myeloma Group (GMMG) cohort (2121 MM cases and 2068 controls) and 1293 Spanish subjects (206 MM cases and 1087 controls). Results were then validated through meta-analysis with data from the UKBiobank (554 MM cases and 402,714 controls) and FinnGen cohorts (914 MM cases and 248,695 controls). Finally, we evaluated the correlation of these single nucleotide polymorphisms (SNPs) with cQTL data, serum inflammatory proteins, steroid hormones, and absolute numbers of blood-derived cell populations (n = 520). The meta-analysis of the four European cohorts showed no effect of obesity-related variants on the risk of developing MM. We only found a very modest association of the POC5rs2112347G and ADCY3rs11676272G alleles with MM risk that did not remain significant after correction for multiple testing (per-allele OR = 1.08, p = 0.0083 and per-allele OR = 1.06, p = 0.046). No correlation between these SNPs and functional data was found, which confirms that obesity-related variants do not influence MM risk.
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Affiliation(s)
- José Manuel Sánchez-Maldonado
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain
| | - Antonio José Cabrera-Serrano
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain
| | - Subhayan Chattopadhyay
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
- Hopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany
| | - Daniele Campa
- Department of Biology, University of Pisa, 56126 Pisa, Italy
| | | | - Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Rob Ter Horst
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Nijmegen Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Andrés Jerez
- Department of Hematology, Experimental Hematology Unit, Vall d'Hebron Institute of Oncology (VHIO), University Hospital Vall d'Hebron, 08035 Barcelona, Spain
| | - Mihai G Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Nijmegen Medical Center, 6525 GA Nijmegen, The Netherlands
- Department for Immunology & Metabolism, Life and Medical Sciences Institute (LIMES), University of Bonn, 53115 Bonn, Germany
| | - Yang Li
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Nijmegen Medical Center, 6525 GA Nijmegen, The Netherlands
- Centre for Individualised Infection Medicine (CiiM) & TWINCORE, Joint Ventures between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), 30625 Hannover, Germany
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Germany Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), 69120 Heidelberg, Germany
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, 30605 Pilsen, Czech Republic
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Asta Försti
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
- Hopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany
| | - Juan Sainz
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain
- Department of Biochemistry and Molecular Biology I, University of Granada, 18071 Granada, Spain
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Ballester M, Jové-Juncà T, Pascual A, López-Serrano S, Crespo-Piazuelo D, Hernández-Banqué C, González-Rodríguez O, Ramayo-Caldas Y, Quintanilla R. Genetic architecture of innate and adaptive immune cells in pigs. Front Immunol 2023; 14:1058346. [PMID: 36814923 PMCID: PMC9939681 DOI: 10.3389/fimmu.2023.1058346] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/16/2023] [Indexed: 02/09/2023] Open
Abstract
Pig industry is facing new challenges that make necessary to reorient breeding programs to produce more robust and resilient pig populations. The aim of the present work was to study the genetic determinism of lymphocyte subpopulations in the peripheral blood of pigs and identify genomic regions and biomarkers associated to them. For this purpose, we stained peripheral blood mononuclear cells to measure ten immune-cell-related traits including the relative abundance of different populations of lymphocytes, the proportions of CD4+ T cells and CD8+ T cells, and the ratio of CD4+/CD8+ T cells from 391 healthy Duroc piglets aged 8 weeks. Medium to high heritabilities were observed for the ten immune-cell-related traits and significant genetic correlations were obtained between the proportion of some lymphocytes populations. A genome-wide association study pointed out 32 SNPs located at four chromosomal regions on pig chromosomes SSC3, SSC5, SSC8, and SSCX as significantly associated to T-helper cells, memory T-helper cells and γδ T cells. Several genes previously identified in human association studies for the same or related traits were located in the associated regions, and were proposed as candidate genes to explain the variation of T cell populations such as CD4, CD8A, CD8B, KLRC2, RMND5A and VPS24. The transcriptome analysis of whole blood samples from animals with extreme proportions of γδ T, T-helper and memory T-helper cells identified differentially expressed genes (CAPG, TCF7L1, KLRD1 and CD4) located into the associated regions. In addition, differentially expressed genes specific of different T cells subpopulations were identified such as SOX13 and WC1 genes for γδ T cells. Our results enhance the knowledge about the genetic control of lymphocyte traits that could be considered to optimize the induction of immune responses to vaccines against pathogens. Furthermore, they open the possibility of applying effective selection programs for improving immunocompetence in pigs and support the use of the pig as a very reliable human biomedical model.
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Affiliation(s)
- Maria Ballester
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Teodor Jové-Juncà
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Afra Pascual
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Sergi López-Serrano
- Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), Bellaterra, Catalonia, Spain.,Institute of Agrifood Research and Technology (IRTA), Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), Bellaterra, Catalonia, Spain
| | - Daniel Crespo-Piazuelo
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Carles Hernández-Banqué
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Olga González-Rodríguez
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Yuliaxis Ramayo-Caldas
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Raquel Quintanilla
- Animal Breeding and Genetics Program, Institute of Agrifood Research and Technology (IRTA), Torre Marimon, Caldes de Montbui, Spain
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Khoo WH, Jackson K, Phetsouphanh C, Zaunders JJ, Alquicira-Hernandez J, Yazar S, Ruiz-Diaz S, Singh M, Dhenni R, Kyaw W, Tea F, Merheb V, Lee FX, Burrell R, Howard-Jones A, Koirala A, Zhou L, Yuksel A, Catchpoole DR, Lai CL, Vitagliano TL, Rouet R, Christ D, Tang B, West NP, George S, Gerrard J, Croucher PI, Kelleher AD, Goodnow CG, Sprent JD, Powell JE, Brilot F, Nanan R, Hsu PS, Deenick EK, Britton PN, Phan TG. Tracking the clonal dynamics of SARS-CoV-2-specific T cells in children and adults with mild/asymptomatic COVID-19. Clin Immunol 2023; 246:109209. [PMID: 36539107 PMCID: PMC9758763 DOI: 10.1016/j.clim.2022.109209] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/28/2022] [Accepted: 12/11/2022] [Indexed: 12/23/2022]
Abstract
Children infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) develop less severe coronavirus disease 2019 (COVID-19) than adults. The mechanisms for the age-specific differences and the implications for infection-induced immunity are beginning to be uncovered. We show by longitudinal multimodal analysis that SARS-CoV-2 leaves a small footprint in the circulating T cell compartment in children with mild/asymptomatic COVID-19 compared to adult household contacts with the same disease severity who had more evidence of systemic T cell interferon activation, cytotoxicity and exhaustion. Children harbored diverse polyclonal SARS-CoV-2-specific naïve T cells whereas adults harbored clonally expanded SARS-CoV-2-specific memory T cells. A novel population of naïve interferon-activated T cells is expanded in acute COVID-19 and is recruited into the memory compartment during convalescence in adults but not children. This was associated with the development of robust CD4+ memory T cell responses in adults but not children. These data suggest that rapid clearance of SARS-CoV-2 in children may compromise their cellular immunity and ability to resist reinfection.
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Affiliation(s)
- Weng Hua Khoo
- Garvan Institute of Medical Research, Sydney, Australia,St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | | | | | - John J. Zaunders
- Centre for Applied Medical Research, St Vincent's Hospital, Sydney, Australia
| | - José Alquicira-Hernandez
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, Australia,Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Seyhan Yazar
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, Australia
| | | | - Mandeep Singh
- Garvan Institute of Medical Research, Sydney, Australia,St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Rama Dhenni
- Garvan Institute of Medical Research, Sydney, Australia,St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Wunna Kyaw
- Garvan Institute of Medical Research, Sydney, Australia,St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Fiona Tea
- Brain Autoimmunity Group, Kids Neuroscience Centre, Kids Research at the Children's Hospital at Westmead, Sydney, Australia
| | - Vera Merheb
- Brain Autoimmunity Group, Kids Neuroscience Centre, Kids Research at the Children's Hospital at Westmead, Sydney, Australia
| | - Fiona X.Z. Lee
- Brain Autoimmunity Group, Kids Neuroscience Centre, Kids Research at the Children's Hospital at Westmead, Sydney, Australia
| | - Rebecca Burrell
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | | | - Archana Koirala
- Kids Research, The Children's Hospital at Westmead, Sydney, Australia
| | - Li Zhou
- Kids Research, The Children's Hospital at Westmead, Sydney, Australia
| | - Aysen Yuksel
- Kids Research, The Children's Hospital at Westmead, Sydney, Australia
| | - Daniel R. Catchpoole
- Kids Research, The Children's Hospital at Westmead, Sydney, Australia,Discipline of Child and Adolescent Health, The University of Sydney, Sydney, Australia
| | - Catherine L. Lai
- Kids Research, The Children's Hospital at Westmead, Sydney, Australia
| | | | - Romain Rouet
- Garvan Institute of Medical Research, Sydney, Australia,St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Daniel Christ
- Garvan Institute of Medical Research, Sydney, Australia,St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Benjamin Tang
- Department of Intensive Care Medicine, Nepean Hospital, Sydney, Australia,Centre for Immunology and Allergy Research, The Westmead Institute for Medical Research, Sydney, Australia,Respiratory Tract Infection Research Node, Marie Bashir Institute for Infectious Diseases and Biosecurity, Sydney, Australia
| | - Nicholas P. West
- Systems Biology and Data Science, Menzies Health Institute QLD, Griffith University, Parklands, Australia
| | - Shane George
- Departments of Emergency Medicine and Children's Critical Care, Gold Coast University Hospital, Southport, QLD, Australia,School of Medicine and Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
| | - John Gerrard
- Department of Infectious Diseases and Immunology, Gold Coast University Hospital, Southport, QLD, Australia
| | - Peter I. Croucher
- Garvan Institute of Medical Research, Sydney, Australia,St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | | | - Christopher G. Goodnow
- Garvan Institute of Medical Research, Sydney, Australia,St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia,UNSW Cellular Genomics Futures Institute, UNSW Sydney, Sydney, Australia
| | - Jonathan D. Sprent
- Garvan Institute of Medical Research, Sydney, Australia,St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Joseph E. Powell
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, Australia,UNSW Cellular Genomics Futures Institute, UNSW Sydney, Sydney, Australia
| | - Fabienne Brilot
- Brain Autoimmunity Group, Kids Neuroscience Centre, Kids Research at the Children's Hospital at Westmead, Sydney, Australia,Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, Australia,Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Ralph Nanan
- Charles Perkins Centre Nepean, University of Sydney, Sydney, Australia
| | - Peter S. Hsu
- Kids Research, The Children's Hospital at Westmead, Sydney, Australia,Discipline of Child and Adolescent Health, The University of Sydney, Sydney, Australia
| | - Elissa K. Deenick
- Garvan Institute of Medical Research, Sydney, Australia,Faculty of Medicine, UNSW Sydney, Sydney, Australia
| | - Philip N. Britton
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia,The Children's Hospital at Westmead, Sydney Children's Hospitals Network, Sydney, Australia
| | - Tri Giang Phan
- Garvan Institute of Medical Research, Sydney, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, Australia.
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38
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Quantifying the Detrimental Effects of Multiple Freeze/Thaw Cycles on Primary Human Lymphocyte Survival and Function. Int J Mol Sci 2022; 24:ijms24010634. [PMID: 36614075 PMCID: PMC9820337 DOI: 10.3390/ijms24010634] [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: 11/28/2022] [Revised: 12/16/2022] [Accepted: 12/27/2022] [Indexed: 12/31/2022] Open
Abstract
The use of cryopreserved peripheral blood mononuclear cells is common in biological research. It is widely accepted that primary cells are rendered unusable by several freezing cycles, although this practice might be very helpful when the biological material is valuable and its re-collection is impractical. To determine the extent to which primary cells undergoing repeated freezing cycles are comparable to one another and to fresh samples, we evaluated overall lymphocyte viability, their proliferation and cytokine production capabilities, as well as the levels of 27 cell subtypes in ten human peripheral blood mononuclear cells frozen for five years and repeatedly thawed. As expected, we observed a progressive increase in cell death percentages on three rounds of thawing, but the frequency of the main lymphocyte subsets was stable across the three thawings. Nevertheless, we observed a significant reduction of B cell frequency in frozen samples compared to fresh ones. On repeated thawings and subsequent conventional stimulation, lymphocyte proliferation significantly decreased, and IL-10, IL-6, GM-CSF, IFN-gamma, and IL-8 showed a trend to lower values.
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Nachmanson D, Pagadala M, Steward J, Cheung C, Bruce LK, Lee NQ, O'Keefe TJ, Lin GY, Hasteh F, Morris GP, Carter H, Harismendy O. Accurate genome-wide genotyping from archival tissue to explore the contribution of common genetic variants to pre-cancer outcomes. J Transl Med 2022; 20:623. [PMID: 36575447 PMCID: PMC9793518 DOI: 10.1186/s12967-022-03810-z] [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: 09/03/2022] [Accepted: 12/05/2022] [Indexed: 12/28/2022] Open
Abstract
PURPOSE The contribution of common genetic variants to pre-cancer progression is understudied due to long follow-up time, rarity of poor outcomes and lack of available germline DNA collection. Alternatively, DNA from diagnostic archival tissue is available, but its somatic nature, limited quantity and suboptimal quality would require an accurate cost-effective genome-wide germline genotyping methodology. EXPERIMENTAL DESIGN Blood and tissue DNA from 10 individuals were used to benchmark the accuracy of Single Nucleotide Polymorphisms (SNP) genotypes, Polygenic Risk Scores (PRS) or HLA haplotypes using low-coverage whole-genome sequencing (lc-WGS) and genotype imputation. Tissue-derived PRS were further evaluated for 36 breast cancer patients (11.7 years median follow-up time) diagnosed with DCIS and used to model the risk of Breast Cancer Subsequent Events (BCSE). RESULTS Tissue-derived germline DNA profiling resulted in accurate genotypes at common SNPs (blood correlation r2 > 0.94) and across 22 disease-related polygenic risk scores (PRS, mean correlation r = 0.93). Imputed Class I and II HLA haplotypes were 96.7% and 82.5% concordant with clinical-grade blood HLA haplotypes, respectively. In DCIS patients, tissue-derived PRS was significantly associated with BCSE (HR = 2, 95% CI 1.2-3.8). The top and bottom decile patients had an estimated 28% and 5% chance of BCSE at 10 years, respectively. CONCLUSIONS Archival tissue DNA germline profiling using lc-WGS and imputation, represents a cost and resource-effective alternative in the retrospective design of long-term disease genetic studies. Initial results in breast cancer suggest that common risk variants contribute to pre-cancer progression.
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Affiliation(s)
- Daniela Nachmanson
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Meghana Pagadala
- Biomedical Science Graduate Program, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Joseph Steward
- Moores Cancer Center, University of California San Diego, 3855 Health Science Drive, San Diego, CA, 92093, USA
| | - Callie Cheung
- Moores Cancer Center, University of California San Diego, 3855 Health Science Drive, San Diego, CA, 92093, USA
| | - Lauryn Keeler Bruce
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Nicole Q Lee
- Moores Cancer Center, University of California San Diego, 3855 Health Science Drive, San Diego, CA, 92093, USA
| | - Thomas J O'Keefe
- Department of Surgery, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Grace Y Lin
- Department of Pathology, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Farnaz Hasteh
- Department of Pathology, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Gerald P Morris
- Department of Pathology, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Hannah Carter
- Moores Cancer Center, University of California San Diego, 3855 Health Science Drive, San Diego, CA, 92093, USA
- Division of Medical Genetics, Department of Medicine, University of California San Diego, La Jolla, CA, 92093, USA
| | - Olivier Harismendy
- Moores Cancer Center, University of California San Diego, 3855 Health Science Drive, San Diego, CA, 92093, USA.
- Division of Biomedical Informatics, Department of Medicine, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA.
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40
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Dong C, Miao Y, Zhao R, Yang M, Guo A, Xue Z, Li T, Zhang Q, Bao Y, Shen C, Sun C, Yang Y, Gu X, Jin Y, Li R, Xu M, Guo J, Zong Z, Zhou W, He M, Wang D, Su J, Zhang X, Zeng X, Gao J, Gu Z. Single-Cell Transcriptomics Reveals Longevity Immune Remodeling Features Shared by Centenarians and Their Offspring. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2204849. [PMID: 36354175 PMCID: PMC9799020 DOI: 10.1002/advs.202204849] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/10/2022] [Indexed: 05/02/2023]
Abstract
Centenarians, who show mild infections and low incidence of tumors, are the optimal model to investigate healthy aging. However, longevity related immune characteristics has not been fully revealed largely due to lack of appropriate controls. In this study, single-cell transcriptomic analysis of peripheral blood mononuclear cells (PBMCs) derived from seven centenarians (CEN), six centenarians' offspring (CO), and nine offspring spouses or neighbors (Control, age-matched to CO) are performed to investigate the shared immune features between CEN and CO. The results indicate that among all 12 T cell clusters, the cytotoxic-phenotype-clusters (CPC) and the naïve-phenotype-clusters (NPC) significantly change between CEN and ontrol. Compared to Control, both CEN and CO are characterized by depleted NPC and increased CPC, which is dominated by CD8+ T cells. Furthermore, CPC from CEN and CO share enhanced signaling pathways and transcriptional factors associated with immune response, and possesse similar T-cell-receptor features, such as high clonal expansion. Interestingly, rather than a significant increase in GZMK+ CD8 cells during aging, centenarians show accumulation of GZMB+ and CMC1+ CD8 T cells. Collectively, this study unveils an immune remodeling pattern reflected by both quantitative increase and functional reinforcement of cytotoxic T cells which are essential for healthy aging.
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Affiliation(s)
- Chen Dong
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Ya‐ru Miao
- Center for Artificial Intelligence BiologyHubei Bioinformatics & Molecular Imaging Key LaboratoryKey Laboratory of Molecular Biophysics of the Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China
| | - Rui Zhao
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Mei Yang
- Center for Artificial Intelligence BiologyHubei Bioinformatics & Molecular Imaging Key LaboratoryKey Laboratory of Molecular Biophysics of the Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China
| | - An‐yuan Guo
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
- Center for Artificial Intelligence BiologyHubei Bioinformatics & Molecular Imaging Key LaboratoryKey Laboratory of Molecular Biophysics of the Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China
| | - Zhong‐hui Xue
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Teng Li
- Key Laboratory of Molecular Virology & ImmunologyInstitut Pasteur of ShanghaiChinese Academy of SciencesShanghai200025China
| | - Qiong Zhang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Yanfeng Bao
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Chen Shen
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Chi Sun
- Department of GeriatricsAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Ying Yang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Xi‐xi Gu
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Yi Jin
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Rong Li
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Min Xu
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Jia‐xin Guo
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Zhi‐ying Zong
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Wei Zhou
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Mei He
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Dan‐ni Wang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Jian‐you Su
- Laboratory CenterAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Xiao‐ming Zhang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
- Key Laboratory of Molecular Virology & ImmunologyInstitut Pasteur of ShanghaiChinese Academy of SciencesShanghai200025China
| | - Xu‐hui Zeng
- Institute of Reproductive MedicineMedical SchoolNantong UniversityNantong226001China
| | - Jian‐lin Gao
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Zhi‐feng Gu
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
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Cocco E, Maccioni D, Sanjust E, Falconieri D, Farris E, Maxia A. Ethnopharmacobotany and Diversity of Mediterranean Endemic Plants in Marmilla Subregion, Sardinia, Italy. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11223165. [PMID: 36432894 PMCID: PMC9695302 DOI: 10.3390/plants11223165] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/10/2022] [Accepted: 11/15/2022] [Indexed: 05/27/2023]
Abstract
Human populations in various regions across the world exploit the medicinal properties of plants to treat a wide variety of diseases. Areas with both high rates of endemic taxa and persisting traditional uses of the local botanical resources are key sites for the investigation of Traditional Botanical Knowledge (TBK). Commonly, in these areas, information regarding the medicinal properties of native plants has been transmitted orally from generation to generation, however, a rapid decline in this knowledge has been observed, which can be attributed to socio-economic changes in recent years. The Mediterranean basin is one such site, where human history is intimately entwined with nature. The unique geographical situation and unrivaled environmental heterogeneity of the area, have allowed both the development of diverse civilizations as well as providing the basis for the evolution of extraordinary biodiversity. The Mediterranean basin can therefore be considered a global hotspot of endemic vascular plants, and of traditional knowledge of medicinal and aromatic species. This study researches the historical subregion of Marmilla (central-southern Sardinia, Italy), which was chosen because of its specific cultural and demographic characteristics: i.e., prolonged isolation and extreme longevity of the inhabitants of the area. Semi-structured interviews were conducted with 145 people from the region, and 137 medicinal plants belonging to 62 families were identified, of which around 57,3% were taxa exclusive to the Mediterranean Basin. Findings showed that the most used parts of the plant were the leaves (49%), while as far as preparations are concerned, decoction (50%) was the most used to prepare medicinal formulations, making this the highest number of medico-botanical taxa reported in a study carried out in Sardinia using a similar methodology. In addition, this study contributes towards preventing the loss of TBK by documenting the medicinal traditions, passed down orally for centuries, in the words of the participants, shedding new light on the traditional knowledge of the inhabitants of the island. The findings lay the foundations for future applied studies in the fields of phytotherapy and phytochemical investigation.
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Affiliation(s)
- Emma Cocco
- Laboratory of Economic and Pharmaceutical Botany, Department of Life and Environmental Sciences, Università degli Studi di Cagliari, V.le S. Ignazio da Laconi 13, 09123 Cagliari, Italy
| | - Delia Maccioni
- Laboratory of Economic and Pharmaceutical Botany, Department of Life and Environmental Sciences, Università degli Studi di Cagliari, V.le S. Ignazio da Laconi 13, 09123 Cagliari, Italy
| | - Enrico Sanjust
- Department of Biomedical Sciences, University of Cagliari, Cittadella Universitaria, SS 554 bivio Sestu, 09042 Monserrato, Italy
| | - Danilo Falconieri
- Istituto Tecnico Industriale Statale "Michele Giua", Via Montecassino, 09100 Cagliari, Italy
| | - Emmanuele Farris
- Department of Chemical, Physical, Mathematical and Natural Sciences, Università degli Studi di Sassari, Via Piandanna 4, 07100 Sassari, Italy
| | - Andrea Maxia
- Laboratory of Economic and Pharmaceutical Botany, Department of Life and Environmental Sciences, Università degli Studi di Cagliari, V.le S. Ignazio da Laconi 13, 09123 Cagliari, Italy
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42
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Pieren DKJ, Boer MC, de Wit J. The adaptive immune system in early life: The shift makes it count. Front Immunol 2022; 13:1031924. [PMID: 36466865 PMCID: PMC9712958 DOI: 10.3389/fimmu.2022.1031924] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 10/31/2022] [Indexed: 10/13/2023] Open
Abstract
Respiratory infectious diseases encountered early in life may result in life-threatening disease in neonates, which is primarily explained by the relatively naive neonatal immune system. Whereas vaccines are not readily available for all infectious diseases, vaccinations have greatly reduced childhood mortality. However, repeated vaccinations are required to reach protective immunity in infants and not all vaccinations are effective at young age. Moreover, protective adaptive immunity elicited by vaccination wanes more rapidly at young age compared to adulthood. The infant adaptive immune system has previously been considered immature but this paradigm has changed during the past years. Recent evidence shows that the early life adaptive immune system is equipped with a strong innate-like effector function to eliminate acute pathogenic threats. These strong innate-like effector capacities are in turn kept in check by a tolerogenic counterpart of the adaptive system that may have evolved to maintain balance and to reduce collateral damage. In this review, we provide insight into these aspects of the early life's adaptive immune system by addressing recent literature. Moreover, we speculate that this shift from innate-like and tolerogenic adaptive immune features towards formation of immune memory may underlie different efficacy of infant vaccination in these different phases of immune development. Therefore, presence of innate-like and tolerogenic features of the adaptive immune system may be used as a biomarker to improve vaccination strategies against respiratory and other infections in early life.
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Affiliation(s)
| | | | - Jelle de Wit
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
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Polygenic Risk Scores Associated with Tumor Immune Infiltration in Common Cancers. Cancers (Basel) 2022; 14:cancers14225571. [PMID: 36428664 PMCID: PMC9688863 DOI: 10.3390/cancers14225571] [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: 11/01/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Abstract
It is largely unknown whether genetic susceptibility contributes to tumor immune infiltration in common cancers. We systematically investigated the association between polygenic risk scores (PRSs) and tumor immune infiltration in common cancers. First, we constructed a PRS for common cancers using the risk variants identified in previous genome-wide association studies. Then, we analyzed 139 immune traits predicted by previous studies by examining gene expression data in tumor tissues from The Cancer Genome Atlas (TCGA). We applied regression analyses to evaluate the associations between PRS and immune traits for each cancer overall and stratified by stage, including 2160 pathologically confirmed cases of breast, colorectal, lung, ovarian, pancreatic, and prostate cancers in the White population. At a nominal (p < 0.05) significance level, we identified 31 significant associations between PRS and immune traits. In the analyses stratified by stage for breast, colorectal, lung adenocarcinoma, and lung squamous cell carcinoma, we identified 65 significant associations, including 56 associations that were undetected by the overall analysis. This study provides evidence for genetic risk factors affecting immune infiltration and provides novel insights into the role of genetic susceptibility in immune responses, underlying cancer development, prognosis, and the potential role of an early diagnostic or therapeutic targeting strategy.
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Ma X, Chan TA. Solving the puzzle of what makes immunotherapies work. Trends Cancer 2022; 8:890-900. [PMID: 35933298 PMCID: PMC10109520 DOI: 10.1016/j.trecan.2022.06.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/27/2022] [Accepted: 06/29/2022] [Indexed: 02/07/2023]
Abstract
The rapid adoption of immune checkpoint blockade (ICB) therapies has led to a need to understand the mechanistic drivers of efficacy and the identification of novel biomarkers that enrich for patients who benefit from ICB therapy. Here, we provide a perspective on emerging biomarker candidates, their underlying biological mechanisms, and how they may fit into the current landscape of ICB biomarkers. We discuss new frameworks to identify and evaluate biomarker candidates and review the opportunities and challenges of utilizing biomarker-derived models to facilitate the development of new immunotherapies.
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Affiliation(s)
- Xiaoxiao Ma
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Timothy A Chan
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH 44195, USA; Case Western School of Medicine, Cleveland, OH 44106, USA.
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Han Y, Tan L, Zhou T, Yang L, Carrau L, Lacko LA, Saeed M, Zhu J, Zhao Z, Nilsson-Payant BE, Lira Neto FT, Cahir C, Giani AM, Chai JC, Li Y, Dong X, Moroziewicz D, Paull D, Zhang T, Koo S, Tan C, Danziger R, Ba Q, Feng L, Chen Z, Zhong A, Wise GJ, Xiang JZ, Wang H, Schwartz RE, tenOever BR, Noggle SA, Rice CM, Qi Q, Evans T, Chen S. A human iPSC-array-based GWAS identifies a virus susceptibility locus in the NDUFA4 gene and functional variants. Cell Stem Cell 2022; 29:1475-1490.e6. [PMID: 36206731 PMCID: PMC9550219 DOI: 10.1016/j.stem.2022.09.008] [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: 09/25/2021] [Revised: 06/09/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022]
Abstract
Population-based studies to identify disease-associated risk alleles typically require samples from a large number of individuals. Here, we report a human-induced pluripotent stem cell (hiPSC)-based screening strategy to link human genetics with viral infectivity. A genome-wide association study (GWAS) identified a cluster of single-nucleotide polymorphisms (SNPs) in a cis-regulatory region of the NDUFA4 gene, which was associated with susceptibility to Zika virus (ZIKV) infection. Loss of NDUFA4 led to decreased sensitivity to ZIKV, dengue virus, and SARS-CoV-2 infection. Isogenic hiPSC lines carrying non-risk alleles of SNPs or deletion of the cis-regulatory region lower sensitivity to viral infection. Mechanistic studies indicated that loss/reduction of NDUFA4 causes mitochondrial stress, which leads to the leakage of mtDNA and thereby upregulation of type I interferon signaling. This study provides proof-of-principle for the application of iPSC arrays in GWAS and identifies NDUFA4 as a previously unknown susceptibility locus for viral infection.
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Affiliation(s)
- Yuling Han
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - Lei Tan
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA; Center for Energy Metabolism and Reproduction, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ting Zhou
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA; Stem Cell Research Facility, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Liuliu Yang
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - Lucia Carrau
- Department of Microbiology, New York University, 430 E 29th Street, New York, NY 10016, USA
| | - Lauretta A Lacko
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - Mohsan Saeed
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY 10065, USA; Department of Biochemistry, Boston University School of Medicine, Boston, MA 02118, USA; National Emerging Infectious Diseases Laboratories (NEIDL), Boston University, Boston, MA 02118, USA
| | - Jiajun Zhu
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - Zeping Zhao
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | | | | | - Clare Cahir
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA; The Tri-Institutional PhD Program in Chemical Biology, New York, NY, USA
| | - Alice Maria Giani
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - Jin Chou Chai
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Yang Li
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Xue Dong
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - Dorota Moroziewicz
- The New York Stem Cell Foundation Research Institute, 619 West 54th Street, 3rd Floor, New York, NY 10019, USA
| | - Daniel Paull
- The New York Stem Cell Foundation Research Institute, 619 West 54th Street, 3rd Floor, New York, NY 10019, USA
| | - Tuo Zhang
- Genomic Resource Core Facility, Weill Cornell Medical College, New York, NY 10065, USA
| | - Soyeon Koo
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA; Weill Cornell Neuroscience PhD Program, New York, NY, USA
| | - Christina Tan
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - Ron Danziger
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - Qian Ba
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingling Feng
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA; Key Laboratory of Pesticide and Chemical Biology (CCNU), Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, Hubei 430079, China
| | - Zhengming Chen
- Department of Population Health Sciences, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA
| | - Aaron Zhong
- Stem Cell Research Facility, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Gilbert J Wise
- Department of Urology, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA
| | - Jenny Z Xiang
- Genomic Resource Core Facility, Weill Cornell Medical College, New York, NY 10065, USA
| | - Hui Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Robert E Schwartz
- Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA; Department of Physiology, Biophysics, and Systems Biology, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA
| | - Benjamin R tenOever
- Department of Microbiology, New York University, 430 E 29th Street, New York, NY 10016, USA
| | - Scott A Noggle
- The New York Stem Cell Foundation Research Institute, 619 West 54th Street, 3rd Floor, New York, NY 10019, USA
| | - Charles M Rice
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY 10065, USA
| | - Qibin Qi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Todd Evans
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - Shuibing Chen
- Department of Surgery, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA.
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Dunnick JK, Pandiri AR, Shockley KR, Herbert R, Mav D, Phadke D, Shah RR, Merrick BA. Single nucleotide polymorphism patterns associated with a cancer resistant phenotype. Exp Mol Pathol 2022; 128:104812. [PMID: 35872013 PMCID: PMC10463559 DOI: 10.1016/j.yexmp.2022.104812] [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: 04/27/2022] [Revised: 06/14/2022] [Accepted: 07/16/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND AIMS In this study ten mouse strains representing ~90% of genetic diversity in laboratory mice (B6C3F1/J, C57BL/6J, C3H/HeJ, A/J, NOD.B1oSnH2/J, NZO/HILtJ, 129S1/SvImJ, WSB/EiJ, PWK/PhJ, CAST/EiJ) were examined to identify the mouse strain with the lowest incidence of cancer. The unique single polymorphisms (SNPs) associated with this low cancer incidence are reported. METHODS Evaluations of cancer incidence in the 10 mouse strains were based on gross and microscopic diagnosis of tumors. Single nucleotide polymorphisms (SNPs) in the coding regions of the genome were derived from the respective mouse strains located in the Sanger mouse sequencing database and the B6C3F1/N genome from the National Toxicology Program (NTP). RESULTS The WSB strain had an overall lower incidence of both benign and malignant tumors compared to the other mouse strains. At 2 years, the incidence of total malignant tumors (Poly-3 incidence rate) ranged from 2% (WSB) to 92% (C3H) in males, and 14% (WSB) to 93% (NZO) in females, and the total incidence of benign and malignant tumor incidence ranged from 13% (WSB) to 99% (C3H) in males and 25% (WSB) to 96% (NOD) in females. Single nucleotide polymorphism (SNP) patterns were examined in the following strains: B6C3F1/N, C57BL/6J, C3H/HeJ, 129S1/SvImJ, A/J, NZO/HILtJ, CAST/EiJ, PWK/PhJ, and WSB/EiJ. We identified 7519 SNPs (involving 5751 Ensembl transcripts of 3453 Ensembl Genes) that resulted in a unique amino acid change in the coding region of the WSB strain. CONCLUSIONS The inherited genetic patterns in the WSB cancer-resistant mouse strain occurred in genes involved in multiple cell functions including mitochondria, metabolic, immune, and membrane-related cell functions. The unique SNP patterns in a cancer resistant mouse strain provides insights for understanding and developing strategies for cancer prevention.
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Affiliation(s)
- June K Dunnick
- Systemic Toxicology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.
| | - Arun R Pandiri
- Comparative and Molecular Pathogenesis Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Keith R Shockley
- Biostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Ronald Herbert
- Comparative and Molecular Pathogenesis Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Deepak Mav
- Sciome, LLC, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Dhiral Phadke
- Sciome, LLC, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Ruchir R Shah
- Sciome, LLC, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - B Alex Merrick
- Mechanistic Toxicology Branch, National Institute of Environmental Health Sciences, Division of the National Toxicology Program, Research Triangle Park, NC 27709, USA
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Okada D, Zheng C, Cheng JH. Mathematical model for the relationship between single-cell and bulk gene expression to clarify the interpretation of bulk gene expression data. Comput Struct Biotechnol J 2022; 20:4850-4859. [PMID: 36147671 PMCID: PMC9474327 DOI: 10.1016/j.csbj.2022.08.062] [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: 07/14/2022] [Revised: 08/26/2022] [Accepted: 08/26/2022] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Differential expression analysis is a standard approach in molecular biology. For example, genes whose expression levels differ between diseased and non-diseased samples are considered to be associated with that disease. On the other hand, differential variability analysis focuses on the differences of the variances of gene expression between sample groups. Although differential variability is also known to capture biological information, its interpretation remains unclear and controversial. Recent single-cell analyses have revealed that differences between sample groups can affect gene expression in a cellular subset-specific manner or by altering the proportion of a particular cellular subset. The aim of this study is to clarify the interpretation of mean and variance of bulk gene expression data. METHOD We developed a mathematical model in which the bulk gene expression value is proportional to the mean value of the single-cell gene expression profile. Based on this model, we performed theoretical, simulated and real single-cell RNA-seq data analyses. RESULT AND CONCLUSION We identified how differences in single-cell gene expression profiles affect the differences in the mean and the variance of bulk gene expression. It is shown that differential expression analysis of bulk expression data can overlook significant changes in gene expression at the single-cell level. Further, differential variability analysis capture the complex feature affected by different gene expression shifts for each subset, changes in the proportions of cellular subsets, and variation in single-cell distribution parameters among samples.
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Affiliation(s)
- Daigo Okada
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, South Research Bldg. No.1(5F), 53 Shogoinkawahara-cho, Sakyo-ku, Kyoto 6068507, Kyoto, Japan
| | - Cheng Zheng
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, South Research Bldg. No.1(5F), 53 Shogoinkawahara-cho, Sakyo-ku, Kyoto 6068507, Kyoto, Japan
| | - Jian Hao Cheng
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, South Research Bldg. No.1(5F), 53 Shogoinkawahara-cho, Sakyo-ku, Kyoto 6068507, Kyoto, Japan
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Jacobs BM, Peter M, Giovannoni G, Noyce AJ, Morris HR, Dobson R. Towards a global view of multiple sclerosis genetics. Nat Rev Neurol 2022; 18:613-623. [PMID: 36075979 DOI: 10.1038/s41582-022-00704-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/27/2022] [Indexed: 11/09/2022]
Abstract
Multiple sclerosis (MS) is a neuroimmunological disorder of the CNS with a strong heritable component. The genetic architecture of MS susceptibility is well understood in populations of European ancestry. However, the extent to which this architecture explains MS susceptibility in populations of non-European ancestry remains unclear. In this Perspective article, we outline the scientific arguments for studying MS genetics in ancestrally diverse populations. We argue that this approach is likely to yield insights that could benefit individuals with MS from all ancestral groups. We explore the logistical and theoretical challenges that have held back this field to date and conclude that, despite these challenges, inclusion of participants of non-European ancestry in MS genetics studies will ultimately be of value to all patients with MS worldwide.
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Affiliation(s)
- Benjamin Meir Jacobs
- Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University London, London, UK. .,Department of Neurology, Royal London Hospital, London, UK.
| | - Michelle Peter
- NHS North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Gavin Giovannoni
- Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University London, London, UK.,Department of Neurology, Royal London Hospital, London, UK.,Blizard Institute, Queen Mary University London, London, UK
| | - Alastair J Noyce
- Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University London, London, UK.,Department of Neurology, Royal London Hospital, London, UK.,Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Huw R Morris
- Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ruth Dobson
- Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University London, London, UK.,Department of Neurology, Royal London Hospital, London, UK
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Ou YN, Zhao B, Fu Y, Sheng ZH, Gao PY, Tan L, Yu JT. The Association of Serum Uric Acid Level, Gout, and Alzheimer's Disease: A Bidirectional Mendelian Randomization Study. J Alzheimers Dis 2022; 89:1063-1073. [PMID: 35964198 DOI: 10.3233/jad-220649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The relationship between serum uric acid (UA) and Alzheimer's disease (AD) risk still remained ambiguous despite extensive attempts. OBJECTIVE Via the two-sample Mendelian randomization (MR) design, we aimed to examine the bidirectional causal relationships of serum UA, gout, and the risk of AD. METHODS Genetic variants of UA, gout, and AD were extracted from published genome-wide association summary statistics. The inverse-variance weighted (IVW, the primary method), and several sensitivity methods (MR-Egger, weighted median, and weighted mode) were used to calculate the effect estimates. Egger regression, MR-PRESSO and leave-one-SNP-out analysis were performed to identify potential violations. RESULTS Genetic proxies for serum UA concentration [odds ratio (ORIVW) = 1.09, 95% confidence interval (CI) = 1.01-1.19, p = 0.031] were related with an increased risk of AD using 25 single nucleotide polymorphisms (SNPs). This causal effect was confirmed by sensitivity analyses including MR-Egger (1.22, 1.06-1.42, p = 0.014), weighted median (1.18, 1.05-1.33, p = 0.006), and weighted mode (1.20, 1.07-1.35, p = 0.005) methods. No evidence of notable directional pleiotropy and heterogeneity were identified (p > 0.05). Three SNPs (rs2078267, rs2231142, and rs11722228) significantly drove the observed causal effects. Supportive causal effect of genetically determined gout on AD risk was demonstrated using two SNPs (ORIVW = 1.05, 95% CI = 1.00-1.11, p = 0.057). No reverse causal effects of AD on serum UA levels and gout risk were found. CONCLUSION The findings revealed a causal relationship between elevated serum UA level and AD risk. However, further research is still warranted to investigate whether serum UA could be a reliable biomarker and therapeutic target for AD.
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Affiliation(s)
- Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Bing Zhao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yan Fu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ze-Hu Sheng
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Pei-Yang Gao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
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50
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Zanchettin AC, Barbosa LV, Dutra AA, Prá DMM, Pereira MRC, Stocco RB, Martins APC, Vaz de Paula CB, Nagashima S, de Noronha L, Machado-Souza C. Role of Genetic Polymorphism Present in Macrophage Activation Syndrome Pathway in Post Mortem Biopsies of Patients with COVID-19. Viruses 2022; 14:v14081699. [PMID: 36016321 PMCID: PMC9415703 DOI: 10.3390/v14081699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/22/2022] [Accepted: 07/28/2022] [Indexed: 11/30/2022] Open
Abstract
COVID-19 is a viral disease associated with an intense inflammatory response. Macrophage Activation Syndrome (MAS), the complication present in secondary hemophagocytic lymphohistiocytosis (sHLH), shares many clinical aspects observed in COVID-19 patients, and investigating the cytolytic function of the responsible cells for the first line of the immune response is important. Formalin-fixed paraffin-embedded lung tissue samples obtained by post mortem necropsy were accessed for three groups (COVID-19, H1N1, and CONTROL). Polymorphisms in MAS cytolytic pathway (PRF1; STX11; STXBP2; UNC13D and GZMB) were selected and genotyping by TaqMan® assays (Thermo Fisher Scientific, MA, USA) using Real-Time PCR (Applied Biosystems, MA USA). Moreover, immunohistochemistry staining was performed with a monoclonal antibody against perforin, CD8+ and CD57+ proteins. Histopathological analysis showed high perforin tissue expression in the COVID-19 group; CD8+ was high in the H1N1 group and CD57+ in the CONTROL group. An association could be observed in two genes related to the cytolytic pathway (PRF1 rs885822 G/A and STXBP2 rs2303115 G/A). Furthermore, PRF1 rs350947132 was associated with increased immune tissue expression for perforin in the COVID-19 group. The genotype approach could help identify patients that are more susceptible, and for this reason, our results showed that perforin and SNPs in the PRF1 gene can be involved in this critical pathway in the context of COVID-19.
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Affiliation(s)
- Aline Cristina Zanchettin
- Faculdades Pequeno Príncipe, Av. Iguaçu, 333, Curitiba 80230-020, Paraná, Brazil; (A.C.Z.); (L.V.B.)
- Instituto de Pesquisa Pelé Pequeno Príncipe, Av. Silva Jardim, 1632, Curitiba 80250-200, Paraná, Brazil
| | - Leonardo Vinicius Barbosa
- Faculdades Pequeno Príncipe, Av. Iguaçu, 333, Curitiba 80230-020, Paraná, Brazil; (A.C.Z.); (L.V.B.)
- Instituto de Pesquisa Pelé Pequeno Príncipe, Av. Silva Jardim, 1632, Curitiba 80250-200, Paraná, Brazil
| | - Anderson Azevedo Dutra
- School of Medicine, Pontifícia Universidade Católica do Paraná, R. Imaculada Conceição, 1155, Curitiba 80215-901, Paraná, Brazil; (A.A.D.); (D.M.M.P.); (M.R.C.P.); (R.B.S.); (A.P.C.M.); (C.B.V.d.P.); (S.N.); (L.d.N.)
| | - Daniele Margarita Marani Prá
- School of Medicine, Pontifícia Universidade Católica do Paraná, R. Imaculada Conceição, 1155, Curitiba 80215-901, Paraná, Brazil; (A.A.D.); (D.M.M.P.); (M.R.C.P.); (R.B.S.); (A.P.C.M.); (C.B.V.d.P.); (S.N.); (L.d.N.)
| | - Marcos Roberto Curcio Pereira
- School of Medicine, Pontifícia Universidade Católica do Paraná, R. Imaculada Conceição, 1155, Curitiba 80215-901, Paraná, Brazil; (A.A.D.); (D.M.M.P.); (M.R.C.P.); (R.B.S.); (A.P.C.M.); (C.B.V.d.P.); (S.N.); (L.d.N.)
| | - Rebecca Benicio Stocco
- School of Medicine, Pontifícia Universidade Católica do Paraná, R. Imaculada Conceição, 1155, Curitiba 80215-901, Paraná, Brazil; (A.A.D.); (D.M.M.P.); (M.R.C.P.); (R.B.S.); (A.P.C.M.); (C.B.V.d.P.); (S.N.); (L.d.N.)
| | - Ana Paula Camargo Martins
- School of Medicine, Pontifícia Universidade Católica do Paraná, R. Imaculada Conceição, 1155, Curitiba 80215-901, Paraná, Brazil; (A.A.D.); (D.M.M.P.); (M.R.C.P.); (R.B.S.); (A.P.C.M.); (C.B.V.d.P.); (S.N.); (L.d.N.)
| | - Caroline Busatta Vaz de Paula
- School of Medicine, Pontifícia Universidade Católica do Paraná, R. Imaculada Conceição, 1155, Curitiba 80215-901, Paraná, Brazil; (A.A.D.); (D.M.M.P.); (M.R.C.P.); (R.B.S.); (A.P.C.M.); (C.B.V.d.P.); (S.N.); (L.d.N.)
| | - Seigo Nagashima
- School of Medicine, Pontifícia Universidade Católica do Paraná, R. Imaculada Conceição, 1155, Curitiba 80215-901, Paraná, Brazil; (A.A.D.); (D.M.M.P.); (M.R.C.P.); (R.B.S.); (A.P.C.M.); (C.B.V.d.P.); (S.N.); (L.d.N.)
| | - Lucia de Noronha
- School of Medicine, Pontifícia Universidade Católica do Paraná, R. Imaculada Conceição, 1155, Curitiba 80215-901, Paraná, Brazil; (A.A.D.); (D.M.M.P.); (M.R.C.P.); (R.B.S.); (A.P.C.M.); (C.B.V.d.P.); (S.N.); (L.d.N.)
| | - Cleber Machado-Souza
- Faculdades Pequeno Príncipe, Av. Iguaçu, 333, Curitiba 80230-020, Paraná, Brazil; (A.C.Z.); (L.V.B.)
- Instituto de Pesquisa Pelé Pequeno Príncipe, Av. Silva Jardim, 1632, Curitiba 80250-200, Paraná, Brazil
- Correspondence:
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