首页|Qilu Hospital of Shandong University Reports Findings in Spinal Cord Injury (Dyn amic changes in pyroptosis following spinal cord injury and the identification o f crucial molecular signatures through machine learning and single-cell sequenci ng)
Qilu Hospital of Shandong University Reports Findings in Spinal Cord Injury (Dyn amic changes in pyroptosis following spinal cord injury and the identification o f crucial molecular signatures through machine learning and single-cell sequenci ng)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Central Nervous System Diseases and Conditions - Spinal Cord Injury is the subject of a report. Accord ing to news reporting originating from Jinan, People’s Republic of China, by New sRx correspondents, research stated, “The pathological cascade of spinal cord in jury (SCI) is highly intricate. The onset of neuroinflammation can exacerbate th e extent of damage.” Our news editors obtained a quote from the research from the Qilu Hospital of Sh andong University, “Pyroptosis is a form of inflammation-linked programmed cell death (PCD), the inhibition of pyroptosis can partially mitigate neuroinflammati on. It is imperative to delineate the principal cell types susceptible to pyropt osis and concomitantly identify key genes associated with this process. We initi ally defined the pyroptosis-related genes (PRGs) and analyzed their expression a t different time points post SCI. The results demonstrate a substantial upregula tion of differentially expressed genes (DEGs) related to pyroptosis on the 7 day s post-injury (dpi), these DEGs in the 7 dpi are closely related to the inflamma tory response. Subsequently, immune infiltration analysis revealed a predominant presence of inflammatory microglia. Through correlation analysis, we postulated that pyroptosis primarily manifested within the inflammatory microglia. Employi ng machine learning algorithms, we identified four pyroptosis-related molecular signatures, which were experimentally validated using BV2 cells and spinal cord tissue samples. The robustness of the identified molecular signatures was furthe r confirmed through single-cell sequencing data analysis. Overall, our study elu cidates the temporal dynamics of pyroptosis and identifies key molecular signatu res following SCI.”
JinanPeople’s Republic of ChinaAsiaCentral Nervous SystemCentral Nervous System Diseases and ConditionsCyborgsEmerging TechnologiesGeneticsHealth and MedicineMachine LearningNeuroi nflammationPyroptosisSpinal CordSpinal Cord Diseases and ConditionsSpina l Cord Injury
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