Changes in differential gene expression during a fatal stroke

•Early activators of the inflammatory response in acute stroke may be unrecognized.•A woman had sampling for gene expression during the evolution of her fatal stroke.•This was compared to her twin and healthy controls.•Granzyme B demonstrated the most marked upregulation.•This may assist with differentiating patients with stroke from stroke mimics.

We present a young woman (with an identical twin sister) who arrived at the Emergency Department (ED) within 1 hour of her initial stroke symptoms. Previous microarray studies have demonstrated differential expression of multiple genes between stroke patients and healthy controls. However, for many of these studies there is a significant delay between the initial symptoms and collection of blood samples, potentially leaving the important early activators/regulators of the inflammatory response unrecognised. Blood samples were collected from the patient for an analysis of differential gene expression over time during the evolution of a fatal stroke. The time points for blood collection were ED arrival (T0) and 1, 3 and 24 hours post ED arrival (T1, T3 and T24). This was compared to her identical twin and an additional two age and sex-matched healthy controls. When compared to the controls, the patient had 12 mRNA that were significantly upregulated at T0, and no downregulated mRNA (with a cut off fold change value ±1.5). Of the 12 upregulated mRNA at T0, granzyme B demonstrated the most marked upregulation on arrival, with expression steadily declining over time, whereas S100 calcium-binding protein A12 (S100A12) gene expression increased from T0 to T24, remaining >two-fold above that in the healthy controls at T24. Other genes, such as matrix metalloproteinase 9, high mobility group box 2 and interleukin-18 receptor I were not upregulated at T0, but they demonstrated clear upregulation from T1–T3, with gene expression declining by T24. A greater understanding of the underlying immunopathological mechanisms that are involved during the evolution of ischaemic stroke may help to distinguish between patients with stroke and stroke mimics.