Early Detection of Aging Signals in Liver Tissue Offers Potential for Disease Prediction

Innovative single-cell analysis technology enables early detection of tissue aging signals in the liver, improving disease prediction and personalized treatment strategies.
Recent advancements in tissue analysis have opened new avenues for understanding the early signs of aging in liver tissue and their connection to disease development. Aging and chronic illnesses gradually cause subtle alterations within tissues, but current methods have limitations in precisely quantifying these changes and linking them to initial disease triggers.
A team of Korean researchers has developed an innovative platform technology called FiNi-seq (Fibrotic Niche enrichment sequencing), which enables highly localized and detailed analysis of tissue microenvironments, especially in aged liver tissue. Led by Professor Jong-Eun Park of KAIST and Dr. Chuna Kim of KRIBB, this technology isolates fibrotic microenvironments at the single-cell transcriptome level, revealing cellular and molecular changes occurring in early aging processes.
By physically selecting regions resistant to tissue degradation, FiNi-seq can identify early aging microenvironments where tissue regeneration is delayed and fibrosis begins to accumulate. This process allows for the high-resolution detection of critical cell types, including fibrosis-related endothelial cells, fibroblasts interacting with immune cells, and exhausted immune cells such as PD-1-high CD8 T cells, which are difficult to capture with traditional single-cell techniques.
A key finding from the research demonstrated that certain cells in fibrotic zones contribute to further aging of the surrounding tissue through secreted factors, promoting an environment conducive to disease progression. Spatial analysis revealed the stepwise progression of aging regions within the liver and identified regulatory factors driving these changes.
Furthermore, the study elucidated how endothelial cells lose their tissue-specific identity, trigger innate immune responses, and facilitate immune cell infiltration, contributing to chronic inflammation and fibrosis. Integration of multi-omics data provided insights into the microenvironment's heterogeneity and its impact on intrahepatic vascular structures.
The researchers highlight that FiNi-seq is a promising platform for capturing early pathophysiological signals in chronic liver diseases and potentially other organs affected by aging, such as the lungs and kidneys. This technology could be instrumental in discovering and targeting early disease markers, enabling personalized treatment strategies.
Dr. Chuna Kim emphasized that this study offers a detailed view of the cellular landscape in fibrotic microenvironments at the single-cell level, paving the way for future research in aging and chronic diseases. Professor Jong-Eun Park noted that capturing early tissue changes is vital for developing effective interventions, and the team plans to extend this research to other organ systems.
Overall, this breakthrough provides a deeper understanding of the initial cellular and molecular events in tissue aging, with significant implications for early diagnosis and personalized therapy in chronic illnesses.
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