Utilizing systematic Mendelian randomization to identify potential therapeutic targets for mania.

Background: Mania has caused incalculable economic losses for patients, their families, and even society, but there is currently no effective treatment plan for this disease without side effects. Methods: Using bioinformatics and Mendelian randomization methods, potential drug target genes and key substances associated with mania were explored at the mRNA level. We used the chip expression profile from the GEO database to screen differential genes and used the eQTL and mania GWAS data from the IEU database for two-sample Mendelian randomization (MR) to determine core genes by colocalization. Next, we utilized bioinformatics analysis to identify key substances involved in the mechanism of action and determined related gene targets as drug targets. Results: After differential expression analysis and MR, a causal relationship between the expression of 46 genes and mania was found. Colocalization analysis yielded six core genes. Five key substances were identified via enrichment analysis, immune-related analysis, and single-gene GSVA analysis of the core genes. MR revealed phenylalanine to be the only key substance that has a unidirectional causal relationship with mania. In the end, SBNO2, PBX2, RAMP3, and QPCT, which are significantly associated with the phenylalanine metabolism pathway, were identified as drug target genes. Conclusion: SBNO2, PBX2, RAMP3, and QPCT could serve as potential target genes for mania treatment and deserve further basic and clinical research. Medicinal target genes regulate the phenylalanine metabolism pathway to achieve the treatment of mania. Phenylalanine is an important intermediate substance in the treatment of mania that is regulated by drug target genes.

Identification and validation of cortisol-related hub biomarkers and the related pathogenesis of biomarkers in Ischemic Stroke.

BACKGROUND: Ischemic stroke is a disease in which cerebral blood flow is blocked due to various reasons, leading to ischemia, hypoxia, softening, and even necrosis of brain tissues. The level of cortisol is related to the occurrence and progression of ischemic stroke. However, the mechanism governing their interrelationship is still unclear. The main objective of this study was to identify and understand the molecular mechanism between cortisol and IS. METHODS: The common cortisol-related biological processes were screened by mutual verification of two data sets and the cortisol-related hub biomarkers were identified. Modular analysis of protein interaction networks was performed, and the differential pathway analysis of individual genes was conducted by GSVA and GSEA. Drug and transcription factor regulatory networks of hub genes were excavated, and the diagnostic potential of hub genes was analyzed followed by the construction of a diagnostic model. RESULTS: By screening the two data sets by GSVA, three biological processes with common differences were obtained. After variation analysis, four cortisol-related hub biomarkers (CYP1B1, CDKN2B, MEN1, and USP8) were selected. Through the modular analysis of the protein-protein interaction network and double verification of GSVA and GSEA, a series of potential molecular mechanisms of hub genes were discovered followed by a series of drug regulatory networks and transcription factor regulatory networks. The hub biomarkers were found to have a high diagnostic value by ROC; thus, a diagnostic model with high diagnostic efficiency was constructed. The diagnostic value was mutually confirmed in the two data sets. CONCLUSION: Four cortisol-related hub biomarkers are identified in this study, which provides new ideas for the key changes of cortisol during the occurrence of IS.

[Systematic review and sequential analysis of Xuebijing Injection in treatment of systemic inflammatory response syndrome].

To systematically review the efficacy of Xuebijing Injection combined with western medicine in the treatment of systemic inflammatory response syndrome(SIRS). In this study, CBM, CNKI, Wanfang, VIP, PubMed and EMbase databases were retrieved for clinical randomized controlled trials on the effect of Xuebijing Injection combined with western medicine in the treatment of SIRS from the establishment of the database to July 31, 2020. After screening, Meta-analysis was conducted by RevMan 5.3 software, trial sequential analysis was conducted by TSA 0.9.5.10 beta software, and the evidence quality level was evaluated by GRADEprofiler 3.6.1 software. Meta-analysis showed that Xuebijing Injection combined with western medicine could reduce white blood cell count(MD=-2.32, 95%CI[-2.44,-2.21], P<0.000 01), C-reactive protein count(MD=-22.70, 95%CI[-29.61,-15.79], P<0.000 01), APACHE Ⅱ score(MD=-2.15, 95%CI[-2.43,-1.87], P<0.000 01), tumor necrosis factor alpha count(SMD=-1.23, 95%CI[-1.48,-0.99], P<0.000 01) and interleukin-6 count(SMD=-0.92, 95%CI[-1.15,-0.69], P<0.000 01), improve treatment efficiency(RR=1.39, 95%CI[1.23, 1.56], P<0.000 01), reduce incidence of multiple organ dysfunction(RR=0.47, 95%CI[0.35, 0.64], P<0.000 01) and mortality(RR=0.22, 95%CI[0.13, 0.37], P<0.000 01), which were better than western medicine treatment alone. Trial sequential analysis showed that in terms of reducing the incidence of multiple organ dysfunction and C-reactive protein count, the cumulative Z value passed through the traditional threshold, TSA threshold and expected information value, and reached the required number of cases. GRADE evaluation showed that the level of evidence was low or very low. According to the findings, Xuebijing Injection combined with western medicine is effective in treating SIRS. However, as the low quality of the included studies may affect the reliability of the conclusion, more high-quality studies shall be included for further verification in the future, so as to provide better suggestions for clinical medication.