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Feng Q, Zhou M, Li S, Morimoto L, Hansen H, Myint SS, Wang R, Metayer C, Kang A, Fear AL, Pappas D, Erlich H, Hollenbach JA, Mancuso N, Trachtenberg E, de Smith AJ, Ma X, Wiemels JL. Interaction between maternal killer immunoglobulin-like receptors and offspring HLAs and susceptibility of childhood ALL. Blood Adv 2022; 6:3756-3766. [PMID: 35500222 PMCID: PMC9631572 DOI: 10.1182/bloodadvances.2021006821] [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: 12/15/2021] [Accepted: 04/08/2022] [Indexed: 11/20/2022] Open
Abstract
Acute lymphoblastic leukemia (ALL) in children is associated with a distinct neonatal cytokine profile. The basis of this neonatal immune phenotype is unknown but potentially related to maternal-fetal immune receptor interactions. We conducted a case-control study of 226 case child-mother pairs and 404 control child-mother pairs to evaluate the role of interaction between HLA genotypes in the offspring and maternal killer immunoglobulin-like receptor (KIR) genotypes in the etiology of childhood ALL, while considering potential mediation by neonatal cytokines and the immune-modulating enzyme arginase-II (ARG-II). We observed different associations between offspring HLA-maternal KIR activating profiles and the risk of ALL in different predicted genetic ancestry groups. For instance, in Latino subjects who experience the highest risk of childhood leukemia, activating profiles were significantly associated with a lower risk of childhood ALL (odds ratio [OR] = 0.59; 95% confidence interval [CI], 0.49-0.71) and a higher level of ARG-II at birth (coefficient = 0.13; 95% CI, 0.04-0.22). HLA-KIR activating profiles were also associated with a lower risk of ALL in non-Latino Asians (OR = 0.63; 95% CI, 0.38-1.01), although they had a lower tumor necrosis factor-α level (coefficient = -0.27; 95% CI, -0.49 to -0.06). Among non-Latino White subjects, no significant association was observed between offspring HLA-maternal KIR interaction and ALL risk or cytokine levels. The current study reports the association between offspring HLA-maternal KIR interaction and the development of childhood ALL with variation by predicted genetic ancestry. We also observed some associations between activating profiles and immune factors related to cytokine control; however, cytokines did not demonstrate causal mediation of the activating profiles on ALL risk.
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Affiliation(s)
- Qianxi Feng
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Mi Zhou
- Department of Laboratory Medicine, University of California, San Francisco, CA
| | - Shaobo Li
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Libby Morimoto
- School of Public Health, University of California, Berkeley, CA
| | - Helen Hansen
- Department of Neurosurgery, University of California, San Francisco, CA
| | - Swe Swe Myint
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Rong Wang
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT
| | | | - Alice Kang
- School of Public Health, University of California, Berkeley, CA
| | - Anna Lisa Fear
- Children’s Hospital Oakland Research Institute, Oakland, CA; and
| | - Derek Pappas
- Children’s Hospital Oakland Research Institute, Oakland, CA; and
| | - Henry Erlich
- Children’s Hospital Oakland Research Institute, Oakland, CA; and
| | - Jill A. Hollenbach
- Department of Neurology and Department of Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Nicholas Mancuso
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | | | - Adam J. de Smith
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Xiaomei Ma
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT
| | - Joseph L. Wiemels
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
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Overview of Memory NK Cells in Viral Infections: Possible Role in SARS-CoV-2 Infection. IMMUNO 2022. [DOI: 10.3390/immuno2010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
NK cells have usually been defined as cells of the innate immune system, although they are also involved in adaptative responses. These cells belong to the innate lymphocyte cells (ILC) family. They remove unwanted cells, tumoral cells and pathogens. NK cells are essential for viral infection clearance and are involved in tolerogenic responses depending on the dynamic balance of the repertoire of activating and inhibitory receptors. NK plasticity is crucial for tissue function and vigilant immune responses. They directly eliminate virus-infected cells by recognising viral protein antigens using a non-MHC dependent mechanism, recognising viral glycan structures and antigens by NCR family receptors, inducing apoptosis by Fas-Fas ligand interaction, and killing cells by antibody-dependent cell cytotoxicity via the FcγIII receptor. Activating receptors are responsible for the clearance of virally infected cells, while inhibitory KIR receptor activation impairs NK responses and facilitates virus escape. Effective NK memory cells have been described and characterised by a low NKG2A and high NKG2C or NKG2D expression. NK cells have also been used in cell therapy. In SARS-CoV-2 infection, several contradicting reports about the role of NK cells have been published. A careful analysis of the current data and possible implications will be discussed.
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