Publications by authors named "J L Candia"

Short-term unloading experienced following injury or hospitalisation induces muscle atrophy and weakness. The effects of exercise following unloading have been scarcely investigated. We investigated the functional and molecular adaptations to a resistance training (RT) programme following short-term unloading.

View Article and Find Full Text PDF

SomaScan is an aptamer-based proteomics assay designed for the simultaneous measurement of thousands of human proteins with a broad range of endogenous concentrations. The 7K SomaScan assay has recently been expanded into the new 11K version. Following up on our previous assessment of the 7K assay, here, we expand our work on technical replicates from donors enrolled in the Baltimore Longitudinal Study of Aging.

View Article and Find Full Text PDF

Biological clocks and other molecular biomarkers of aging are difficult to implement widely in a clinical setting. In this study, we used routinely collected hematological markers to develop an aging clock to predict blood age and determine whether the difference between predicted age and chronologic age (aging gap) is associated with advanced aging in mice. Data from 2,562 mice of both sexes and three strains were drawn from two longitudinal studies of aging.

View Article and Find Full Text PDF

Cellular senescence increases with age and contributes to age-related declines and pathologies. We identified circulating biomarkers of senescence associated with diverse clinical traits in humans to facilitate future non-invasive assessment of individual senescence burden and efficacy testing of novel senotherapeutics. Using a novel nanoparticle-based proteomic workflow, we profiled the senescence-associated secretory phenotype (SASP) in monocytes and examined these proteins in plasma samples (N = 1060) from the Baltimore Longitudinal Study of Aging (BLSA).

View Article and Find Full Text PDF
Article Synopsis
  • The study examines how the adjuvant AS03 affects vaccination responses in humans receiving the H5N1 influenza vaccine by analyzing data over 14 time points, including the immediate aftermath of the vaccination.
  • Researchers developed a computational method to identify complex immune response patterns, revealing differences in how the immune system responds to the vaccine with and without the adjuvant at different stages of vaccination (prime and boost).
  • Findings indicate that certain immune response signatures persist long after vaccination, and specific immune cell characteristics, particularly in monocytes and CD8 T cells, are associated with stronger antibody responses, suggesting that pre-existing immune states can influence vaccine effectiveness.
View Article and Find Full Text PDF