biostudies-literatureUnknown16Qin XD<h4>Introduction</h4>Although age is the most important non-modifiable risk factor for cerebral stroke, it is also apparent that females commonly exhibit longer lifespan and better outcome after stroke compared to the age-matched males. A critical event after stroke is the peripheral infiltration of immune cells across damaged blood-brain barrier, which induces inflammatory and immune responses within the brain parenchyma and consequently worsen brain injury. These events are also dependent on age and display a sex different pattern. Theoretically, X chromosome-encoded differential expression genes (DEGs) may explain differences between the sexes. However, the expression and regulation of these DEGs after stroke have not been studied in detail.<h4>Methods</h4>We conducted three datasets ofFrontiers in genetics1479270https://www.ebi.ac.uk/biostudies/studies/S-EPMC11968720biostudies-literatureProfiling X chromosome genes expression relevant to sex dimorphism in stroke: insights from transcriptomics landscape analysis.PMC11968720Cai QLi YRDang ZHQin XDMin JWBu FQi SHLiu JYLi LLfalseProfiling X chromosome genes expression relevant to sex dimorphism in stroke: insights from transcriptomics landscape analysis.<h4>Introduction</h4>Although age is the most important non-modifiable risk factor for cerebral stroke, it is also apparent that females commonly exhibit longer lifespan and better outcome after stroke compared to the age-matched males. A critical event after stroke is the peripheral infiltration of immune cells across damaged blood-brain barrier, which induces inflammatory and immune responses within the brain parenchyma and consequently worsen brain injury. These events are also dependent on age and display a sex different pattern. Theoretically, X chromosome-encoded differential expression genes (DEGs) may explain differences between the sexes. However, the expression and regulation of these DEGs after stroke have not been studied in detail.<h4>Methods</h4>We conducted three datasets of2025-01-01T00:00:00Z20252025-07-01T03:05:17.988Z2025-07-01T03:05:17.988ZS-EPMC119687204019160710.3389/fgene.2025.1479270