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Evaluation of T-cell aging-related immune phenotypes in the context of biological aging and multimorbidity in the Health and Retirement Study
BACKGROUND: Cellular changes in adaptive immune system accompany the process of aging and contribute to an aging-related immune phenotype (ARIP) characterized by decrease in naïve T-cells (T(N)) and increase in memory T-cells (T(M)). A population-representative marker of ARIP and its associations wi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297609/ https://www.ncbi.nlm.nih.gov/pubmed/35858901 http://dx.doi.org/10.1186/s12979-022-00290-z |
Sumario: | BACKGROUND: Cellular changes in adaptive immune system accompany the process of aging and contribute to an aging-related immune phenotype (ARIP) characterized by decrease in naïve T-cells (T(N)) and increase in memory T-cells (T(M)). A population-representative marker of ARIP and its associations with biological aging and age-related chronic conditions have not been studied previously. METHODS: We developed two ARIP indicators based on well understood age-related changes in T cell distribution: T(N)/(T(CM) (Central Memory) + T(EM) (Effector Memory) + T(EFF) (Effector)) (referred as T(N)/T(M)) in CD4 + and CD8 + T-cells. We compared them with existing ARIP measures including CD4/CD8 ratio and CD8 + TN cells by evaluating associations with chronological age and the Klemera Doubal measure of biological age (measured in years) using linear regression, multimorbidity using multinomial logistic regression and two-year mortality using logistic regression. RESULTS: CD8 + T(N) and CD8 + T(N)/T(M) had the strongest inverse association with chronological age (beta estimates: -3.41 and -3.61 respectively; p-value < 0.0001) after adjustment for sex, race/ethnicity and CMV status. CD4 + T(N)/T(M) and CD4 + T(N) had the strongest inverse association with biological age (β = -0.23; p = 0.003 and β = -0.24; p = 0.004 respectively) after adjustment for age, sex, race/ethnicity and CMV serostatus. CD4/CD8 ratio was not associated with chronological age or biological age. CD4 + T(N)/T(M) and CD4 + T(N) was inversely associated with multimorbidity. For CD4 + T(N)/T(M), people with 2 chronic conditions had an odds ratio of for 0.74 (95%CI: 0.63–0.86 p = 0.0003) compared to those without any chronic conditions while those with 3 chronic conditions had an odds ratio of 0.75 (95% CI: 0.63–0.90; p = 0.003) after adjustment for age, sex, race/ethnicity, CMV serostatus, smoking, and BMI. The results for the CD4 + T(N) subset were very similar to the associations seen with the CD4 + T(N)/T(M). CD4 + T(N)/T(M) and CD4 + T(N) were both associated with two-year mortality (OR = 0.80 (95% CI: 0.67–0.95; p = 0.01) and 0.81 (0.70–0.94; p = 0.01), respectively). CONCLUSION: CD4 + T(N)/T(M) and CD4 + T(N) had a stronger association with biological age, age-related morbidity and mortality compared to other ARIP measures. Future longitudinal studies are needed to evaluate the utility of the CD4 + subsets in predicting the risk of aging-related outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12979-022-00290-z. |
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