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Biology subjects

Kuo, C.-L.

Publications and source records attributed to Kuo, C.-L..

2 recordsLinked to original sources

CMV reshapes lymphoid immunity in aging: a single-cell atlas with predictive modeling

Cytomegalovirus (CMV) is a common herpesvirus that establishes lifelong latency and becomes increasingly prevalent with age. We systematically characterized CMV-associated immune remodeling by analyzing six human cohorts (two newly built) using single-cell RNA sequencing, T cell receptor (TCR) sequencing, and flow cytometry. Beyond the well-known expansion of CD4/CD8 TEMRA, adaptive NK, and {gamma}{delta} T cells, CMV(+) adults exhibited increased frequencies of GZMK CD8 T cells and atypical B cells, alongside a reduction of CD56dim NK cells. Longitudinal profiling of an individual who seroconverted revealed rapid CMV-driven shifts in circulating immune cell frequencies. Single-cell TCR data analyzed using a large database of CMV-associated clones combined with predictive modelling (CMVerify), identified novel CMV-specific clonal expansions reproduced across two independent cohorts. In the CD8 lineage, CMV-specific clones were enriched in GZMK CD8 and CD8 TEMRA cells, while in the CD4 lineage, Th1 cells showed clonal expansion alongside CD4 TEMRA cells. This integrative study revealed how latent CMV alters the cellular and clonal landscape, defining GZMK CD8 and Th1 cells as newly recognized elements of response to CMV in humans.

immunology↗

Red Blood Cell Distribution Width: genetic evidence for aging pathways in 116,666 volunteers

Variability in red blood cell volumes (distribution width, RDW) increases with age and is strongly predictive of mortality, incident coronary heart disease and cancer. We investigated inherited genetic variation associated with RDW in 166,666 UK Biobank human volunteers.\n\nA large proportion RDW is explained by genetic variants (29%), especially in the older group (60+ year olds, 33.8%, <50 year olds, 28.4%). RDW was associated with 194 independent genetic signals; 71 are known for conditions including autoimmune disease, certain cancers, BMI, Alzheimers disease, longevity, age at menopause, bone density, myositis, Parkinsons disease, and age-related macular degeneration. Pathways analysis showed enrichment for telomere maintenance, ribosomal RNA and apoptosis.\n\nAlthough increased RDW is predictive of cardiovascular outcomes, this was not explained by known CVD or related lipid genetic risks. The predictive value of RDW for a range of negative health outcomes may in part be due to variants influencing fundamental pathways of aging.

genomics↗