Machine Learning Reveals Key Genes of Astrocyte in Perioperative Neurocognitive Disorders

Strategic Insights -

New research conducted by a team at Sun Yat-Sen University in Shenzhen, People's Republic of China, has made significant discoveries in understanding the role of astrocytes in perioperative neurocognitive disorders (PND). The study, published in the Journal of Neuroscience Research, analyzed 9976 and 9484 single-cell transcriptomes from hippocampal cells of aged mice undergoing PND surgery or sham operation. The researchers identified 13 distinct clusters, including five astrocyte subclusters, and pinpointed four feature genes (Dbp, PISD, Id4, and Tsc22d3) that showed differential expression patterns between surgery and control conditions.

Key Takeaways:

  • The study analyzed 9976 and 9484 single-cell transcriptomes from hippocampal cells of aged mice undergoing PND surgery or sham operation.
  • 13 distinct clusters were identified, including five astrocyte subclusters, and were found to be involved in crucial neurodevelopmental processes and pathways associated with nervous system development and synaptic regulation.
  • Four feature genes (Dbp, PISD, Id4, and Tsc22d3) were pinpointed for differential expression patterns between surgery and control conditions using machine learning methods (LASSO, XGBoost, and Random Forest).
  • The study revealed distinct regulatory networks in astrocytes, providing insights into their functional differences in response to PND surgery.
  • The findings offer a detailed aged hippocampal landscape of astrocyte dynamics and intercellular communication, contributing to our understanding of neuroinflammation and cognitive dysfunction following surgical stress.

Statistics:

  • 9976 and 9484 single-cell transcriptomes were analyzed from hippocampal cells of aged mice.
  • 13 distinct clusters were identified, including five astrocyte subclusters.
  • Four feature genes (Dbp, PISD, Id4, and Tsc22d3) were pinpointed for differential expression patterns.
  • Machine learning methods (LASSO, XGBoost, and Random Forest) were used to identify key genes and pathways involved in PND.
  • The study revealed significant differences in astrocyte dynamics and intercellular communication between surgery and control conditions.

Sources:

  • Single-Cell RNA-Seq and Machine Learning Reveal Key Feature Genes of Astrocyte in Perioperative Neurocognitive Disorders. Journal of Neuroscience Research, 2025;103(10). Journal of Neuroscience Research can be contacted at: Wiley, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - www.wiley.com/; Journal of Neuroscience Research - onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-4547)
  • NewsRx. New Machine Learning Findings Reported from Sun Yat-Sen University (Single-Cell RNA-Seq and Machine Learning Reveal Key Feature Genes of Astrocyte in Perioperative Neurocognitive Disorders). Medical Devices & Surgical Technology Week. October 26, 2025; p 1107.