PubMed Health⌕ Search

PubMed · 8753837

The murine thymic microenvironment: changes with age.

Abstract

Immunosenescence has been well described in both human and a variety of animal species and has an important influence on changes in immune function. Although several mechanisms may be operating to explain the alterations in immune function with age, one factor that has attracted significant attention has been the progressive age-dependent involution of the thymus. Hitherto, most studies of thymus have focused only on thymocytes. We have now taken advantage of a well-defined panel of monoclonal antibodies (mAbs called MTS) that recognize and characterize the thymic miroenvironment, including epithelial and nonepithelial elements. Recent data using these MTS mAbs have disclosed significant abnormalities in the thymic cortex in models of murine lupus including the unusual appearance of medullary-type epithelial cells in the cortical areas and the presence of epithelial free spaces or 'cortical holes'. In this study, we investigated age-related changes in the thymic microenvironment in 12-month-old C3H/HeJ, C57BL/6 and BALB/c mice. Controls included thymus from young 4-to 6-week-old mice as well as 6-month-old BALB/c mice. As expected, the thymus of all 12-month-old mice manifested normal and distinctive separation of cortical and medullary epithelium. However, unlike younger mice, the 12-month-old mice had severe changes in these regions. For example, in older mice, the cortex and medulla were diffusely irregular and atrophic and had a poorly defined cortico medullary junction; the former having small disrupted epithelial networks, and the latter containing clusters of atrophic cells. Moreover, the extracellular matrix was increased and contained large irregularly shaped clusters. Interestingly, the thymus of 6-month-old mice expressed some changes within the medullary epithelium and the extracellular matrix, but the cortical epithelium remained unchanged. These age-related degenerative changes in the thymic microenvironment differ significantly from the abnormalities identified in autoimmunity and may be a factor in immunosenescence.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Y Takeoka, S Y Chen, H Yago, R Boyd, S Suehiro, L D Shultz, A A Ansari, M E Gershwin. 1996. The murine thymic microenvironment: changes with age.. https://doi.org/10.1159/000237337

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

An open benchmark and language models for AI in aging biology.

Over the past two decades, human aging has been characterized across DNA methylation, transcriptomic, proteomic, and clinical modalities, yet no benchmark evaluates whether AI systems can interpret these heterogeneous data types in the context of aging biology. We introduce LongevityBench, an open suite of 17 tasks spanning five biodata domains, and use it to assess 18 frontier AI systems from six developer teams. Despite recent advances in AI, no single model dominates all tasks, with omics-based age prediction being the hardest task regardless of scale. To test whether these gaps can be closed without frontier-scale resources, we fine-tuned a family of five multitask Longevity-LLMs on domain-specific aging data. The compact (0.6B-9B parameters) Longevity-LLMs matched or exceeded far larger frontier systems on LongevityBench, showing that general-purpose language models can be adapted to structured-omics tasks. We publicly release the benchmark, models, and Longevity Claw, an agentic research interface for aging researchers.

Aging↗

Association between sirtuin 1 and markers of oxidative stress in master athletes.

BACKGROUND: Lifelong training in master athletes confers protective effects, promoting higher sirtuin levels and enhanced antioxidant capacity. Although Sirtuin 1 (SIRT1) is well studied, no previous study has examined the relationship between circulating SIRT1 levels and antioxidant defense variables in master athletes. PURPOSE: To compare and analyze the relationships between circulating levels of SIRT1 and variables related to antioxidant defense in master athletes (MA) and untrained middle-aged individuals (UMA). METHODS: Male MA (n&#x2009;=&#x2009;42; 51.62&#x2009;&#xb1;&#x2009;7.33 years; &#x2265;10 years of training and competition in running) and UMA (n&#x2009;=&#x2009;15; 47.73&#x2009;&#xb1;&#x2009;8.52 years) were evaluated. Venous blood samples were collected for biochemical analyses of SIRT1, antioxidant enzymes, TBARS and F2-isoprostanes, 8-OHdG, and redox balance indexes. RESULTS: MA showed higher levels of SIRT1 (18.22&#x2009;&#xb1;&#x2009;4.53 vs. 6.08&#x2009;&#xb1;&#x2009;2.11 ng/mL; p&#x2009;<&#x2009;0.0001), as well as of SOD, CAT, and GSH (p&#x2009;<&#x2009;0.001), indicating a more favorable antioxidant profile. After adjustment for body fat percentage, differences in SOD, CAT, GSH and TBARS, remained significant. SIRT1 was positively correlated with SOD (r&#x2009;=&#x2009;0.279; p&#x2009;=&#x2009;0.031), CAT (r&#x2009;=&#x2009;0.485; p&#x2009;<&#x2009;0.001), GSH (r&#x2009;=&#x2009;0.476; p&#x2009;<&#x2009;0.001) and CAT/8-OHdG (r&#x2009;=&#x2009;0.430; p&#x2009;=&#x2009;0.032), and negatively correlated with TBARS (r&#x2009;=&#x2009;-&#x2009;0.518; p&#x2009;<&#x2009;0.001). CONCLUSION: Master athletes exhibited higher circulating SIRT1 concentrations and a more favorable systemic redox profile than untrained individuals, with SIRT1 being associated with markers of antioxidant defense, lipid peroxidation, and redox balance.

Aging↗

Decoding SUMOylation as a metabolic stress sensor in aging and age-related disorders: Mechanisms, tissue specificity and therapeutic potential.

SUMOylation is a reversible post-translational modification increasingly recognized for its role in coordinating cellular responses to metabolic stress during aging. Emerging evidence indicates that it functions beyond a conventional modification, representing an adaptive stress&#x2011;responsive regulatory network that integrates metabolic, oxidative, inflammatory, and proteotoxic signals. Rather than acting on isolated pathways, this network finely tunes mitochondrial function, proteostasis, genome maintenance, immune balance, and epigenetic regulation. Accumulating evidence indicates that SUMO-dependent regulation exhibits remarkable tissue specificity, supporting mitochondrial adaptation and contractile integrity in skeletal muscle, shaping lipid and glucose metabolism in the liver, modulating proteotoxic stress and neuronal resilience in the brain, and contributing to immune cell differentiation and chronic low-grade inflammation during aging. In this review, we summarize current mechanistic insights into SUMO signaling across aging-relevant tissues, with particular emphasis on its functional interplay with other post-translational modifications, including ubiquitination and acetylation. We discuss how SUMOylation operates as a shared regulatory layer while enabling context-dependent outcomes that underlie diverse aging phenotypes and age-related disorders. Finally, we evaluate emerging translational approaches-ranging from pharmacological modulation of SUMO enzymes to lifestyle interventions such as caloric restriction and exercise-that highlight both the opportunities and challenges of targeting SUMO-regulated stress responses in aging. Together, this synthesis provides a framework for understanding how SUMOylation links metabolic stress to tissue-specific aging trajectories and therapeutic potential.

Aging↗