Traumatic brain injury (TBI) is exceptionally prevalent in society and often imposes a massive burden on patients’ families and poor prognosis. The evidence reviewed here suggests that gender can influence clinical outcomes of TBI in many aspects, ranges from patients’ mortality and short-term outcome to their long-term outcome, as well as the incidence of cognitive impairment. We mainly focused on the causes and mechanisms underlying the differences between male and female after TBI, from both biological and sociological views. As it turns out that multiple factors contribute to the gender differences after TBI, not merely the perspective of gender and sex hormones. Centered on this, we discussed how female steroid hormones exert neuroprotective effects through the anti-inflammatory and antioxidant mechanism, along with the cognitive impairment and the social integration problems it caused. As to the treatment, both instant and long-term treatment of TBI requires adjustments according to gender. A further study with more focus on this topic is therefore suggested to provide better treatment options for these patients.

Background: Immune escape is an important feature of hepatocellular carcinoma (HCC). The overall response rate of immune checkpoint inhibitors (ICIs) in HCC is still limited. Revealing the immune regulation mechanisms and finding new immune targets are expected to further improve the efficacy of immunotherapy. Our study aims to use CRISPR screening mice models to identify potential targets that play a critical role in HCC immune evasion and further explore their value in improving immunotherapy. Methods: We performed CRISPR screening in two mice models with different immune backgrounds (C57BL/6 and NPG mice) and identified the immunosuppressive gene Gsk3a as a candidate for further investigation. Flow cytometry was used to analyze the impact of Gsk3a on immune cell infiltration and T-cell function. RNA sequencing was used to identify the changes in neutrophil gene expression induced by Gsk3a and alterations in downstream molecules. The therapeutic value of the combination of Gsk3a inhibitors and anti-programmed cell death protein-1 (PD-1) antibody was also explored. Results: Gsk3a, as an immune inhibitory target, significantly promoted tumor growth in immunocompetent mice rather than immune-deficient mice. Gsk3a inhibited cytotoxic T lymphocytes (CTLs) function by inducing neutrophil chemotaxis. Gsk3a promoted self-chemotaxis of neutrophil expression profiles and neutrophil extracellular traps (NETs) formation to block T-cell activity through leucine-rich α-2-glycoprotein 1 (LRG1). A significant synergistic effect was observed when Gsk3a inhibitor was in combination with anti-PD-1 antibody. Conclusions: We identified a potential HCC immune evasion target, Gsk3a, through CRISPR screening. Gsk3a induces neutrophil recruitment and NETs formation through the intermediate molecule LRG1, leading to the inhibition of CTLs function. Targeting Gsk3a can enhance CTLs function and improve the efficacy of ICIs.

Spatial techniques such as spatial transcriptomes and MALDI-MSI, offering insights into both transcripts and metabolite of tissue sections. However, integrating them with high accuracy is challenge due to no shared spots or features. We present haCCA, a workflow designed to integrate spatial transcriptomes and metabolomes data using high-correlated feature pairs and modified spatial morphological alignment. This approach ensures high-resolution and accurate spot-to-spot data integration across neighbor tissue section. We applied haCCA to both publicly available 10X Visium and MALDI-MSI datasets from mouse brain tissue and a custom spatial transcriptome and MALDI-MSI dataset from an intrahepatic cholangiocarcinoma (ICC) model, exploring the metabolic alteration of NETs(neutrophil extracellular traps) on ICC, and finding a potential mechanism that NETs upregulated Scd1 to activate fatty acid metabolism. Providing new insights into the dynamic crosstalk between genes and metabolites that regulates the tumor biological behavior and drives the response to treatment. We developed and published an easy-to-use Python package to facilitate its use.