Transcriptotype-Driven Discovery of Apigenin as a Therapy against Cholestatic Liver Fibrosis: Through Inhibition of PANoptosis and Following Type-I Interferon Responses.

Cholangiopathies lack effective medicines and can progress into end-stage liver diseases. Mining natural product transcriptome databases for bioactive ingredients, which can reverse disease-associated transcriptomic phenotypes, holds promise as an effective approach for drug discovery. To identify disease-associated transcriptomic changes, we performed RNA-sequencing on bile duct ligation (BDL)-induced cholestatic liver fibrosis mice, as well as PBC and PSC patients, and found that PANoptosis and activation of type-I interferon (IFN) signaling were observed in BDL mice and patients with PBC and PSC. We then established a transcriptotype-driven screening system based on HERB and ITCM databases. Among 283 natural ingredients screened, apigenin (Api), which is widely distributed in varieties of food and medicinal plants, was screened out by our screen system since it reversed the expression pattern of key genes associated with PANoptosis and type-I IFN responses. In BDL, Abcb4-/-, and DDC-fed mice, Api effectively ameliorated liver injuries, inflammation, and fibrosis. It also protected cholangiocytes from bile acid-stimulated PANoptosis, thus alleviating damage-associated molecular pattern-mediated activation of TBK1-NF-κB in macrophages. Additionally, Api directly inhibited type-I IFN-induced downstream inflammatory responses. Our study demonstrated the pathogenic roles of PANoptosis and type-I IFN signaling in cholestatic liver fibrosis and verified the feasibility of transcriptotype-based drug screening. Furthermore, this study revealed a novel anti-inflammatory mechanism of Api and identified it as a promising candidate for the treatment of cholestatic liver fibrosis.

Drug screening and biomarker gene investigation in cancer therapy through the human transcriptional regulatory network.

A complex and vast biological network regulates all biological functions in the human body in a sophisticated manner, and abnormalities in this network can lead to disease and even cancer. The construction of a high-quality human molecular interaction network is possible with the development of experimental techniques that facilitate the interpretation of the mechanisms of drug treatment for cancer. We collected 11 molecular interaction databases based on experimental sources and constructed a human protein-protein interaction (PPI) network and a human transcriptional regulatory network (HTRN). A random walk-based graph embedding method was used to calculate the diffusion profiles of drugs and cancers, and a pipeline was constructed by using five similarity comparison metrics combined with a rank aggregation algorithm, which can be implemented for drug screening and biomarker gene prediction. Taking NSCLC as an example, curcumin was identified as a potentially promising anticancer drug from 5450 natural small molecules, and combined with differentially expressed genes, survival analysis, and topological ranking, we obtained BIRC5 (survivin), which is both a biomarker for NSCLC and a key target for curcumin. Finally, the binding mode of curcumin and survivin was explored using molecular docking. This work has a guiding significance for antitumor drug screening and the identification of tumor markers.

HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine.

Pharmacotranscriptomics has become a powerful approach for evaluating the therapeutic efficacy of drugs and discovering new drug targets. Recently, studies of traditional Chinese medicine (TCM) have increasingly turned to high-throughput transcriptomic screens for molecular effects of herbs/ingredients. And numerous studies have examined gene targets for herbs/ingredients, and link herbs/ingredients to various modern diseases. However, there is currently no systematic database organizing these data for TCM. Therefore, we built HERB, a high-throughput experiment- and reference-guided database of TCM, with its Chinese name as BenCaoZuJian. We re-analyzed 6164 gene expression profiles from 1037 high-throughput experiments evaluating TCM herbs/ingredients, and generated connections between TCM herbs/ingredients and 2837 modern drugs by mapping the comprehensive pharmacotranscriptomics dataset in HERB to CMap, the largest such dataset for modern drugs. Moreover, we manually curated 1241 gene targets and 494 modern diseases for 473 herbs/ingredients from 1966 references published recently, and cross-referenced this novel information to databases containing such data for drugs. Together with database mining and statistical inference, we linked 12 933 targets and 28 212 diseases to 7263 herbs and 49 258 ingredients and provided six pairwise relationships among them in HERB. In summary, HERB will intensively support the modernization of TCM and guide rational modern drug discovery efforts. And it is accessible through http://herb.ac.cn/.

Safety and efficacy of zotarolimus-eluting stents in the treatment of diabetic coronary lesions in Chinese patients: The RESOLUTE-DIABETES CHINA Study.

BACKGROUND: The RESOLUTE-DIABETES CHINA study was specifically designed to investigate the safety and efficacy of Resolute zotarolimus-eluting stents (ZES; Medtronic, Santa Rosa, CA, USA) in the treatment of diabetic coronary lesions in the Chinese population. METHODS: In all, 945 patients with de novo native coronary lesions and type 2 diabetes mellitus were recruited at 32 cardiac centers across the Chinese mainland and were implanted with Resolute ZES. The primary endpoint was target vessel failure (TVF); secondary endpoints were clinical outcomes, namely all-cause death, stroke, bleeding, target lesion revascularization (TLR), target vessel revascularization (TVR), non-TVR, and stent thrombosis (ST). The follow-up period for all endpoints was 12 months after the procedure. RESULTS: In all, 933 patients (98.73%) had clinical follow-up at 12 months. The rate of TVF was 11.60%, whereas the rate of occurrence of secondary endpoints was 5.47%, with four patients (0.43%) having subacute or late ST. There were no significant differences in TVF rates comparing patients with different HbA1c levels or receiving different glucose control treatments (all P > 0.05). Patients with multivessel lesions had higher TVF rates (95% confidence intervals) than those with single-vessel lesions (16.76% [12.10%-22.97%) vs 9.72% [7.79%-12.11%], respectively; P = 0.006). There were no significant differences in TVF rates in patients with or without small vessels, bifurcated lesions, or chronic total occlusions (all P > 0.05). [Correction added on 17 January 2019, after first online publication: in the second sentence of Results section, "TLF" was changed to "TVF".]. CONCLUSIONS: Resolute ZES may perform well in the Chinese diabetic population, especially in those with poor glucose control, complex lesions, and certain unfavorable clinical features. Further studies are needed to determine why ZES perform well in this population.