A comprehensive single-cell atlas of three centenarian cohorts unveils unique natural killer cell signatures and enhanced mutual interactions among peripheral immune cells.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 40945050.
- Also identified by DOI 10.1016/j.ebiom.2025.105922 and PMC identifier 12571583.
- Licence recorded as CC BY-NC-ND.
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Abstract
Centenarians are considered as an optimal population for studying healthy ageing. However, immune features associated with super longevity have only been investigated in a few small studies using a single research method. In this study, single-cell RNA sequencing (scRNA-seq), mass cytometry, and flow cytometry analysis were used to analyse the immune feature of peripheral blood mononuclear cells (PBMCs) from 17 centenarians (CENs), 9 of their offsprings (COs), and 14 of their offsprings' spouses or neighbours (controls, CTs) from Lingao County of China. scRNA-seq data from the other two cohorts were downloaded from public databases. Comprehensive analysis of 31 CENs, 17 COs, and 26 CTs from these three cohorts revealed decreased percentages of B cells and CD4<sup>+</sup> T cells and an increased percentage of natural killer (NK) cells in PBMCs from CENs, compared with CTs. Moreover, NK cells from CENs exhibited relatively "young" signatures, including cell subset distribution and key membrane receptor expression. Enhanced RUNX3 expression in NK cells was observed in CENs, with reinforced interactions between NK and T cells, which promoted T cell function by modulating MHC-I, CD99 and MIF signalling. CENs exhibit unique immunological features, especially NK cells with young protein expression signatures and immune functions. This study was funded by the Sanya Science and Technology Innovation Special Project (No. 2022KJCX02), National Natural Science Foundation of China (No. 32141005, 82270769), Specific Research Fund of the Innovation Platform for Academicians of Hainan Province, and National Key Research and Development Program of China (Nos. 2022YFC3602900, 2022YFC3602902, 2022YFC3602903).
Medical subject headings
- Killer Cells, Natural
- Single-Cell Analysis
- Cell Communication