Dataset Information

HLA-C levels impact natural killer cell subset distribution and function.

ABSTRACT: Differences in HLA-C expression are inversely correlated with HIV viral load set-point and slower progression to AIDS, linked to enhanced cytotoxic T cell immunity. Yet, beyond T cells, HLA-C serves as a dominant ligand for natural killer (NK) cell killer immunoglobulin-like receptors (KIR). Thus, we speculated that HLA-C expression levels may also impact NK activity, thereby modulating HIV antiviral control. Phenotypic and functional profiling was performed on freshly isolated PBMCs. HLA-C expression was linked to changes in NK subset distribution and licensing, particularly in HLA-C1/C1, KIR2DL3+2DL2-individuals. Moreover, high levels of HLA-C, were associated with reduced frequencies of anergic CD56neg NKs and lower frequencies of KIR2DL1/2/3+ NK cells, pointing to an HLA-C induced influence on the NK cell development in the absence of disease. In HIV infection, several spontaneous controllers, that expressed higher levels of HLA-C demonstrated robust NK-IFN-? secretion in response to target cells, highlighting a second disease induced licensing phenotype. Thus this population study points to a potential role for HLA-C levels both in NK cell education and development.

SUBMITTER: Sips M

PROVIDER: S-EPMC6684021 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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HLA-C levels impact natural killer cell subset distribution and function.

Sips Magdalena M Liu Qingquan Q Draghi Monia M Ghebremichael Musie M Berger Christoph T CT Suscovich Todd J TJ Sun Yongtao Y Walker Bruce D BD Carrington Mary M Altfeld Marcus M Brouckaert Peter P De Jager Philip L PL Alter Galit G

Human immunology 20160810 12

Differences in HLA-C expression are inversely correlated with HIV viral load set-point and slower progression to AIDS, linked to enhanced cytotoxic T cell immunity. Yet, beyond T cells, HLA-C serves as a dominant ligand for natural killer (NK) cell killer immunoglobulin-like receptors (KIR). Thus, we speculated that HLA-C expression levels may also impact NK activity, thereby modulating HIV antiviral control. Phenotypic and functional profiling was performed on freshly isolated PBMCs. HLA-C expr ...[more]

PMID: 27521484

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Project description:BackgroundTuberculosis (TB) continues to be a critical global health problem, which killed millions of lives each year. Certain circulating cell subsets are thought to differentially modulate the host immune response towards Mycobacterium tuberculosis (Mtb) infection, but the nature and function of these subsets is unclear.MethodsPeripheral blood mononuclear cells (PBMC) were isolated from healthy controls (HC), latent tuberculosis infection (LTBI) and active tuberculosis (TB) and then subjected to single-cell RNA sequencing (scRNA-seq) using 10?×?Genomics platform. Unsupervised clustering of the cells based on the gene expression profiles using the Seurat package and passed to tSNE for clustering visualization. Flow cytometry was used to validate the subsets identified by scRNA-Seq.FindingsCluster analysis based on differential gene expression revealed both known and novel markers for all main PBMC cell types and delineated 29 cell subsets. By comparing the scRNA-seq datasets from HC, LTBI and TB, we found that infection changes the frequency of immune-cell subsets in TB. Specifically, we observed gradual depletion of a natural killer (NK) cell subset (CD3-CD7+GZMB+) from HC, to LTBI and TB. We further verified that the depletion of CD3-CD7+GZMB+ subset in TB and found an increase in this subset frequency after anti-TB treatment. Finally, we confirmed that changes in this subset frequency can distinguish patients with TB from LTBI and HC.InterpretationWe propose that the frequency of CD3-CD7+GZMB+ in peripheral blood could be used as a novel biomarker for distinguishing TB from LTBI and HC. FUND: The study was supported by Natural Science Foundation of China (81770013, 81525016, 81772145, 81871255 and 91942315), National Science and Technology Major Project (2017ZX10201301), Science and Technology Project of Shenzhen (JCYJ20170412101048337) and Guangdong Provincial Key Laboratory of Regional Immunity and Diseases (2019B030301009). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Dataset Information

HLA-C levels impact natural killer cell subset distribution and function.

Publications

HLA-C levels impact natural killer cell subset distribution and function.

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