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Memory CD8T cells participate in the fight against infection and tumorigenesis as well as in autoimmune disease progression because of their efficient and rapid immune response, long-term survival, and continuous differentiation. At each stage of their formation, maintenance, and function, the cell metabolism must be adjusted to match the functional requirements of the specific stage. Notably, enhanced glycolytic metabolism can generate sufficient levels of adenosine triphosphate (ATP) to form memory CD8T cells, countering the view that glycolysis prevents the formation of memory CD8T cells. This review focuses on how glycometabolism regulates memory CD8T cells and highlights the key mechanisms through which the mammalian target of rapamycin (mTOR) signaling pathway affects memory CD8T cell formation, maintenance, and function by regulating glycometabolism. In addition, different subpopulations of memory CD8T cells exhibit different metabolic flexibility during their formation, survival, and functional stages, during which the energy metabolism may be critical. These findings which may explain why enhanced glycolytic metabolism can give rise to memory CD8T cells. Modulating the metabolism of memory CD8T cells to influence specific cell fates may be useful for disease treatment.
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http://dx.doi.org/10.1016/j.bcp.2022.115197 | DOI Listing |
bioRxiv
August 2025
Department of Epidemiology, Colorado School of Public Health, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.
Seroconversion (SV) marks the initiation of islet autoimmunity (IA) and pre-clinical phase of type 1 diabetes, yet the contributions of immune cells beyond cytotoxic T cells remain unclear. We applied high-resolution immune cell-type deconvolution using peripheral blood DNA methylation data from nested case-control samples of the Diabetes Autoimmunity Study in the Young (DAISY; n=151) and The Environmental Determinants of Diabetes in the Young (TEDDY; n=166) to estimate immune cell proportions across pre-SV and SV timepoints and construct functional ratios, such as the neutrophil-to-lymphocyte ratio (NLR). Using linear models, we evaluated differences between type 1 diabetes cases and controls at pre-SV, SV, and the change across timepoints.
View Article and Find Full Text PDFAging (Albany NY)
March 2025
TruDiagnostic, Inc., 881 Corporate Dr. Lexington, KY 40503, USA.
Aging interventions have progressed in recent years due to the growing curiosity about how lifestyle impacts longevity. This study assessed the effects of SRW Laboratories' Cel System nutraceutical range on epigenetic methylation patterns, inflammation, physical performance, body composition, and epigenetic biomarkers of aging. A 1-year study was conducted with 51 individuals, collecting data at baseline, 3 months, 6 months, and 12 months.
View Article and Find Full Text PDFMed
May 2025
Department of Anesthesiology, Zhongshan Hospital Fudan University, Shanghai 200032, China; Laboratory of Perioperative Stress and Protection, Shanghai 200032, China. Electronic address:
Background: Management of persistent inflammation, immunosuppression, and catabolism syndrome (PICS) after sepsis remains challenging for patients in the intensive care unit, experiencing poor quality of life and death. However, immune-cell signatures in patients with PICS after sepsis remain unclear.
Methods: We determined immune-cell signatures of PICS after sepsis at single-cell resolution.
Sci Rep
December 2024
Singapore Immunology Network (SIgN), Agency for Science Technology and Research (A*STAR), Immunos Building, 8A Biomedical Grove, Biopolis, Republic of Singapore.
Long-term control of viral replication relies on the efficient differentiation of memory T cells into effector T cells during secondary immune responses. Recent findings have identified T cell precursors for both memory and exhausted T cells, suggesting the existence of progenitor-like effector T cells. These cells can persist without antigenic challenge but expand and acquire effector functions upon recall immune responses.
View Article and Find Full Text PDFFront Cardiovasc Med
July 2024
Department of Cardiology, Xianyang Hospital, Yan'an University, Xianyang, China.
Background: Atrial fibrillation (AF) is a common persistent arrhythmia characterized by rapid and chaotic atrial electrical activity, potentially leading to severe complications such as thromboembolism, heart failure, and stroke, significantly affecting patient quality of life and safety. As the global population ages, the prevalence of AF is on the rise, placing considerable strains on individuals and healthcare systems. This study utilizes bioinformatics and Mendelian Randomization (MR) to analyze transcriptome data and genome-wide association study (GWAS) summary statistics, aiming to identify biomarkers causally associated with AF and explore their potential pathogenic pathways.
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