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Duggal, N. A.

Publications and source records attributed to Duggal, N. A..

2 recordsLinked to original sources

Physical activity modifies the metabolic profile of CD4+ and CD8+ T cell subtypes at rest and upon activation in older adults

Aging reduces the functional competence of T cells. T cell metabolism regulates their function, with mitochondrial defects in mice resulting in aged phenotypes, including accelerated senescence. Physical activity (PA) maintains T cell function in older adults, although the mechanisms underlying this effect are poorly understood. This study examined the effects of aging on the metabolic profile of T cell subsets and investigated whether PA could improve metabolic function in T cells from older donors. We recruited nine young adults (23 {+/-} 3y) and 19 healthy older adults who had high PA (HPA, N=9, 75.5 {+/-} 4.7y) or low PA levels (LPA, N=10, 76.4 {+/-} 2.1y), based on their moderate-to-vigorous PA scores. We investigated the metabolic profiles of CD4+ and CD8+ T cells at rest and post-activation (PMA and ionomycin), via SCENITH flow cytometry. Compared to young adults, older adults had higher mitochondrial dependence (MD) in unstimulated CD4+ and CD8+ naive, effector memory (EM) and central memory (CM); and higher protein synthesis in CD4+ EM, CD4+ naive, CD8+ EM, suggesting higher energetic demand in T cells with aging. Upon activation there was a lower reduction in MD of CD4+ EMRA and CD8+ EMRA; and a greater increase in IL-6 and TNF expression in CD8+ cells of older than young adults, indicative of impaired metabolic flexibility with aging. PA effects were more prominent in unstimulated CD8+ cells, where HPA had lower glucose dependence (GD) for overall CD8+, CD8+EM and a trend to higher MD in CD8+ CM than LPA. Upon activation, HPA had a lower increase in CD4+ TNF expression and trended to have a higher reduction in MD of overall CD4+ and a higher reduction in GD of CD4+ EMRA, than LPA. This suggests a lower metabolic demand in CD4+ T cells of HPA. We concluded that PA could modify T cell metabolic profile at rest, and following activation, in older adults, which may explain the better T cell function in physically active older individuals.

immunology↗

SIMON: open-source knowledge discovery platform

Data analysis and knowledge discovery has become more and more important in biology and medicine with the increasing complexity of the biological datasets, but necessarily sophisticated programming skills and in-depth understanding of algorithms needed pose barriers to most biologists and clinicians to perform such research. We have developed a modular open-source software SIMON to facilitate the application of 180+ state-of-the-art machine learning algorithms to high-dimensional biomedical data. With an easy to use graphical user interface, standardized pipelines, automated approach for machine learning and other statistical analysis methods, SIMON helps to identify optimal algorithms and provides a resource that empowers non-technical and technical researchers to identify crucial patterns in biomedical data.

systems biology↗