CVT contributed to poorer outcome
Cerebral blood flow perfusion diagrams corresponding to the CVT and Sham groups assisted by the laser speckle meter are shown in Fig. 1A. Compared with the Sham group, the SSS blood flow signal disappeared in the CVT group, indicating complete interruption of SSS cerebral perfusion (cerebral blood flow was 713.20 ± 58.87 PU and 258.40 ± 47.72 PU for the sham and CVT groups, respectively) (Fig. 1B). Based on the successful establishment of the CVT rat model, we detected the location and volume of ischemic and/or hemorrhagic foci in rats after CVT by MRI. The formation of ischemic injury in the brains of rats 48 hours after CVT is shown in Fig. 1C. Rats in the CVT group had a focal lesion lying in regions on both sides of the SSS and spread to the adjacent cortex, with a maximum infarction area of 10.86 ± 1.66% of the whole brain (Fig. 1D). In contrast, no imaging manifestation changes in the Sham group rats were observed. Furthermore, the results of neurological symptom score (NSS) revealed that compared to the sham group, neurological function was significantly impaired in CVT rats 48 h postoperatively (NSS was 0.40 ± 0.49 and 2.2 ± 0.40 for the Sham and CVT groups, respectively) (Fig. 1E). In the novel object recognition test assessing recognition memory in rats, the CVT group spent less time exploring novel objects than the sham group, which suggests that CVT resulted in cognitive impairment (Fig. 1F). The rotarod test showed that rats in the CVT group spent 141.88 ± 16.03 s less on the rod than those in the sham group (294.7 ± 10.60 s) (Fig. 1G). Furthermore, the velocity was correspondingly diminished (Fig. 1H). Together, these results demonstrated that CVT contributed to cerebral infarction in rats with neurological deficits.
The NOD-like-receptor signaling pathway is a key inflammatory response signaling pathway of CVT
To further explore the specific pathological mechanism of brain damage after CVT, tissue was isolated from the Sham, MCAO and CVT groups of rats for RNA sequencing with three biological repeats (Supplement Fig. 1). RNA-seq results showed that there were 5266 genes with altered expression in MCAO vs. Sham groups and no alteration in CVT vs. Sham groups (Fig. 2A). Additionally, 208 DEGs showed changed expression in CVT vs. Sham groups (Fig. 2A). There were 1446 common DEGs in the MCAO vs. sham and CVT vs. sham groups (Fig. 2A). The RNA-Seq heatmap accurately represents the significant DEGs, showing good intragroup consistency and intergroup variability (Fig. 2B). DEGs were further mapped to the databases for functional annotation and enrichment analysis. KEGG enrichment analysis indicated that inflammation-related signaling pathways such as the Nod-like-receptor signaling pathway, complement and coagulation cascade, tumor necrosis factor (TNF) and nuclear factor-k-gene binding (NF-KB) signaling pathway were associated with DEGs specific to CVT vs. Sham (P ≤ 0.05) (Fig. 2C). Then, ssGSEA was used to obtain the inflammatory enrichment score, indicating that the genes in the inflammatory response were upregulated in the CVT group (Fig. 2D). Using ImmuneAI -Mouse, a cell type proportion analysis was performed on Bulk RNA-seq brain gene expression data. The major cell type-specific genes of brain tissues were deconvolved, which indicated that the relative abundance of microglia was higher in the CVT group (Fig. 2E-F). The results of GSEA demonstrated that the TNF signaling pathway (NES:2.44, FDR:0), NOD-like-receptor signaling pathway (NES:2.45, FDR:0), NF-kB signaling pathway (NES:2.21, FDR:0) and complement and coagulation cascade pathway (NES:2.50, FDR:0) were significantly enriched in CVT brain tissue (Fig. 2G-J), which indicates that acute inflammatory response may couple with the course of CVT. Importantly, the Nod-like-receptor signaling pathway is upstream of inflammatory signaling pathways such as TNF, NF-kB, and other inflammatory factors, which mediate acute inflammatory response damage. Furthermore, KDA of 167 differentially expressed genes in the NOD-like-receptor signaling pathway revealed that "LOC100910771, Casp1, Nfkbia, Fadd, Nlrp-3, Nod-2, IL-18, Irf-3," Irf-7, Tbk-1, Ripk-1, Tab-2, Ikbkg, Chuk, Mavs, Traf-2, Tab-1, Tab-3, Ripk-2, Traf-3, Ikbke, Ikbkb, Nod-1, Mapk9, Mefv, Xiap, Casp8, Tnfaip-3, Traf-5, Nfkb1” were the core genes, and the average expression levels of these genes were significantly upregulated in the CVT group (Fig. 2K-L).
Activation of Nod-like-receptor signaling pathways and microglia in the rat brain after CVT
To validate the RNA-seq results, we selected 24 pivotal driver genes (Casp1, Nfkbia, Fadd, Nlrp-3, Nod-2, IL-18, Irf-3, Irf-7, Tbk-1, Ripk-1, Tab − 2, Ikbkg, Traf − 2, Tab − 1, Ripk − 2, Traf − 3, Ikbke, Ikbkb, Nod − 1, Mapk − 9, Mefv, Xiap, Casp8, Nfkb1) for real-time quantitative PCR validation. The results demonstrated that the expression of these key driver genes, especially Nod-2, was significantly increased in the infarct area of CVT rats, which exhibited a consistent trend with the RNA-seq data (Fig. 3A). These findings suggest that microglia play an essential role in the inflammatory response after CVT. Next, we attempted to determine the effects of CVT on microglia via flow cytometry. We discovered that compared to the Sham group, microglial (CD45+CD11b/c+) infiltration increased significantly in the infarction focus of CVT rats (Fig. 3B-C). To further confirm the role of the NOD-like-receptor signaling pathway, CD45+ CD11b/c+ microglial cells were sorted from the CVT and Sham groups by flow cytometry, and the expression of key driver genes was analyzed by qPCR. The findings indicated that the CVT group exhibited upregulated expression of the core genes involved in the NOD-like-receptor signaling pathway (Fig. 3D). Immunofluorescent double staining showed a marked increase in Iba-1+ microglial infiltration around the infarction area and a significant increase in Nod-2 expression in Iba-1+ microglia (Fig. 3E-G). Taken together, these results suggest that microglial cells are actively involved in brain injury after CVT and that the NOD-like-receptor signaling pathway is the pivotal signaling pathway.
Inhibition of the NOD-like-receptor signaling pathway ameliorated the outcome of CVT and reduced microglial activation
To verify that the NOD-like-receptor signaling pathway is involved in the inflammatory response of CVT and triggers cerebral injury, we utilized GSK717[15], a potent and selective inhibitor of Nod-2, to block the NOD-like-receptor signaling pathway. To investigate whether blocking the NOD-like-receptor signaling pathway could improve neurological deficits after CVT, we performed MRI and behavioral evaluation. T2-weighted imaging showed that the maximum infarction areas were reduced by approximately 6.18 ± 0.62% following GSK717 administration (Fig. 4A-B). Moreover, the injection of GSK717 resulted in an improvement in nervous system function after CVT (NSS scores were 0.20 ± 0.40, 2.20 ± 0.40 and 1.20 ± 0.40 for the Sham, CVT + Ctrl and CVT + GSK717 groups, respectively) (Fig. 4C). Rats in the CVT + GSK717 group spent more time investigating the new object compared with the CVT group (discrimination index is 65.7 ± 4.39%, 42.75 ± 2.93% and 61.07 ± 2.89% for Sham, CVT + Ctrl and CVT + GSK717 groups, respectively) (Fig. 4D). In parallel, the results of the rotarod test showed that GSK717 enhanced the rotarod test time (292.62 ± 4.46 s, 125.3 ± 7.56 s and 221 ± 7.77 s for the Sham, CVT + Ctrl and CVT + GSK717 groups, respectively) and speed (38 ± 1.1 r/min, 18.6 ± 1.0 r/min and 29.4 ± 1.0 r/min for the Sham, CVT + Ctrl and CVT + GSK717 groups, respectively) for rats at 48 h after CVT (Fig. 4E-F). Therefore, blocking the Nod-like-receptor signaling pathway improved the symptoms of neurological impairment after CVT by suppressing the inflammatory response.
Inhibition of Nod-2 with GSK717 resulted in blunted signal transduction in the NOD-like-receptor pathway. qPCR analysis confirmed the downregulation of expression in the infarct area of the CVT + GSK717 group (Fig. 4G). To further confirm whether GSK717 attenuated the CVT-induced inflammatory response by suppressing the NOD-like-receptor pathways, CD45+ CD11b/c+ microglial cells were quantified and sorted by flow cytometry (Fig. 4H). The results showed that microglial numbers were significantly decreased in the infarction location in the CVT + GSK717 group compared with the CVT group (Fig. 4I). Similarly, the expression of core driver genes was also reduced significantly in microglial cells (Fig. 4J). Moreover, immunofluorescence staining also revealed that blocking the NOD-like-receptor signaling pathway by GSK717 reduced Iba-1+ microglial cell numbers and the expression of Nod-2 in the infarct area (Fig. 4K-M). These findings suggest that microglial cells are essential for the activation of inflammatory reactions after CVT and that the NOD-like-receptor signaling-mediated inflammatory response may play an important trigger role in cerebral injury.