Investigating the efficacy and mechanisms of Jinfu'an decoction in treating non-small cell lung cancer using network pharmacology and in vitro and in vivo experiments.

ETHNOPHARMACOLOGICAL RELEVANCE: Jinfu'an Decoction (JFAD) is a traditional Chinese decoction used in lung cancer treatment to improve patient quality of life and survival. Previous research has established that JFAD has a significant therapeutic effect on non-small cell lung cancer (NSCLC), although the underlying molecular mechanisms have not been largely underexplored. AIM OF THE STUDY: We used network pharmacology to identify the putative active ingredients of JFAD and conducted experimental studies to determine the potential molecular mechanism of JFAD in NSCLC treatment. MATERIALS AND METHODS: The herbal components in JFAD-containing serum were identified by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS), and targets associated with the anti-lung cancer metastasis effects of JFAD were retrieved from various databases. The Database for Annotation, Visualization and Integrated Discovery (DAVID) was used to perform Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Next, the protein-protein interactions network and the "JFAD-Chemical Component-Target-KEGG Pathway" network were constructed. The network pharmacology findings were confirmed by in vitro and in vivo experiments. In vitro experiments were conducted to assess cell viability by CCK8 assay, cell cycle analysis by propidium iodide (PI) assay, and migration and invasion ability of cells by the transwell assay. In vivo experiments were performed to assess the efficacy of JFAD on the tumor by observing the growth of transplanted tumor models in nude mice and evaluated by in vivo bioluminescence imaging. Moreover, we assessed the effect of JFAD on the PI3K/Akt signaling pathway and proteins of Lumican, p120ctn, and specific RhoGTP enzyme family members (RhoA, Rac1, and RhoC) by Western Blot and immunohistochemistry. RESULTS: 32 herbal components were identified in the JFAD-containing serum, which potentially acted on 229 targets related to lung cancer metastasis. Network pharmacology results suggested that JFAD may treat lung cancer metastasis by targeting the PI3K/Akt pathway via regulating multiple core targets. Our experiments showed that JFAD suppressed the proliferation of A549 cells in vitro, induced cell cycle arrest, and reduced the migration and invasion ability of A549 cells. Our in vivo study revealed that JFAD inhibited tumor growth in a nude mouse model. Additionally, we found that JFAD could downregulate the expression of the PI3K/Akt pathway and affect the expression of Lumican, p120ctn, and specific RhoGTPase family members. CONCLUSIONS: In conclusion, through network pharmacology, we have unveiled the underlying mechanisms that link the various components, targets, and pathways influenced by JFAD in the context of lung cancer metastasis. Our experimental results suggest that the oncostatic effects of JFAD may be achieved by upregulating the expression of Lumican/p120ctn and downregulating the levels of specific RhoGTPase family members, which in turn block the PI3K/Akt signaling pathway.

Salvianolic acid F suppresses KRAS-dependent lung cancer cell growth through the PI3K/AKT signaling pathway.

BACKGROUND: KRAS mutation is a common driver of NSCLC, and there is a high proportion of lung cancer patients with KRAS G12C and G12D mutation. KRAS was previously considered an "undruggable" target, but the first KRAS G12C mutation-targeted drug AMG510, entered the market in 2021. However, treatments for G12D mutant tumors remain to be discovered. Salvianolic acid F (SalF), a monomer derived from the traditional Chinese medicine Salvia miltiorrhiza (SM), and KRAS had high binding affinity, especially for KRAS G12D. There is an urgent need to investigate effective and safe novel targeted therapies against KRAS G12D-driven NSCLC. METHODS: To evaluate the anticancer effect of SalF, we used KRAS-overexpressing lung cancer cells in vitro, a subcutaneous transplant tumor model, and KRAS G12D mice model in vivo. Then, the binding effect of SalF and KRAS was investigated using molecular docking, proteolytic assays and protein thermal shift assays. More critically, the PI3K/AKT signaling pathway in the lung was investigated utilizing RT-qPCR and Western Blotting. RESULTS: This is the first study to evaluate the anticancer effect of SalF on KRAS-overexpressing lung cancer cells or KRAS G12D lung tumors in vivo. We demonstrated that SalF inhibits OE-KRAS A549 cell migration, proliferation and promotes apoptosis in vitro. In addition, we used a subcutaneous transplant tumor model to show that SalF suppresses the growth of lung cancer cells in vivo. Interestingly, our group found that SalF was strongly bound to G12D and could decrease the stability and promoted the degradation of the KRAS G12D mutant through molecular docking, proteolytic assays and protein thermal shift assays. Further research demonstrated that in the KrasG12D mice model, after SalF treatment, the number and size of mouse lung tumors were significantly reduced. More importantly, SalF can promote apoptosis by inhibiting downstream PI3K/AKT signaling pathway activation. CONCLUSION: SalF activated apoptosis signaling pathways, suppressed anti-apoptotic genes, and inhibited lung cancer cell growth. These datas suggested that SalF could effectively inhibit the growth of lung tumors with KRAS G12D mutation. SalF may be a novel inhibitor against KRAS G12D, providing a strong theoretical basis for the clinical treatment of lung cancer with KRAS mutations.

Lipid metabolism as a target for cancer drug resistance: progress and prospects.

Cancer is the world's leading cause of human death today, and the treatment process of cancer is highly complex. Chemotherapy and targeted therapy are commonly used in cancer treatment, and the emergence of drug resistance is a significant problem in cancer treatment. Therefore, the mechanism of drug resistance during cancer treatment has become a hot issue in current research. A series of studies have found that lipid metabolism is closely related to cancer drug resistance. This paper details the changes of lipid metabolism in drug resistance and how lipid metabolism affects drug resistance. More importantly, most studies have reported that combination therapy may lead to changes in lipid-related metabolic pathways, which may reverse the development of cancer drug resistance and enhance or rescue the sensitivity to therapeutic drugs. This paper summarizes the progress of drug design targeting lipid metabolism in improving drug resistance, and providing new ideas and strategies for future tumor treatment. Therefore, this paper reviews the issues of combining medications with lipid metabolism and drug resistance.

Multi-omics analysis reveals the prognostic and tumor micro-environmental value of lumican in multiple cancer types.

Background: Lumican (LUM), a proteoglycan of the extracellular matrix, has been reported to be involved in the regulation of immune escape processes, but the data supporting this phenomenon are not sufficient. In this study, we aimed to explore the links among LUM expression, survival, tumor microenvironment (TME), and immunotherapy in 33 cancer types. Methods: Data from several databases, such as UCSC Xena, GTEx, UALCAN, HPA, GEPIA2, TISIDB, PrognoScan, TIMER2, and GEO, as well as published studies, were used to determine the relationship between LUM expression and clinical features, TME, heterogeneity, and tumor stemness. Results: The expression of LUM was statistically different in most tumors versus normal tissues, both at the RNA and protein expression levels. High expression of LUM was typically associated with a poor prognosis in tumors. Additionally, immune scores, six immune cells, four immunosuppressive cells, cancer-associated fibroblasts (CAFs)-associated and immunosuppressive factors, tumor mutation burden (TMB), microsatellite instability (MSI), DNAss, and RNAss were all significantly associated with LUM. Among them, LUM expression displayed a significant positive correlation with CAFs and their factors, and exhibited immunosuppressive effects in six independent immunotherapy cohorts. Conclusion: Multi-omics analysis suggests that LUM may have been a prognostic marker, contributed to immunosuppression in the TME, and decreased the effectiveness of immune checkpoint inhibitors.

RBFOX2 confers tumor growth by PI3K/AKT and MAPK signaling in gastric cancer.

RNA-binding Fox (RBFOX)2, a member of a family of RNA-binding proteins, is well known as a regulator of alternative pre-mRNA splicing. However, its possible role in gastric cancer is unknown. In this study, we investigated the biologic role and clinical significance of RBFOX2 in gastric cancer growth and elucidated its underlying molecular mechanisms. We found that RBFOX2 was highly expressed in gastric cancer cell lines and tumor tissue compared with the adjacent nontumor tissue. We also found that RBFOX2 overexpression was correlated with poor overall survival in patients with gastric cancers. Multivariate survival analyses revealed that higher RBFOX2 expression was an independent prognostic factor for the overall survival of patients with gastric cancers. Suppression of RBFOX2 by shRNA inhibited gastric cancer cell proliferation, colony formation and induced apoptosis. Mechanism studies revealed that these effects were achieved through the simultaneous modulation of multiple signaling pathways. Knockdown of RBFOX2 expression by shRNA markedly inhibited the phosphorylation of phosphatidylinositol 3-hydroxy kinase, threonine kinase and extracellular signal-regulated kinase and Jun N-terminal kinases proteins. In contrast, the ectopic expression of RBFOX2 had the opposite effects. Moreover, RBFOX2 knockdown also induced the cleavage of caspase-3 and caspase-9 proteins. Collectively, these results demonstrate that RBFOX2 plays a critical role in regulating gastric cancer cell proliferation and survival and may be a potential prognostic biomarker and therapeutic target for gastric cancer.

Clinical diagnostic value of amino acids in laryngeal squamous cell carcinomas.

Background: Early diagnosis and treatment can improve the survival rates of patients with laryngeal squamous cell carcinoma (LSCC). Therefore, it is necessary to discover new biomarkers for laryngeal cancer screening and early diagnosis. Methods: We collected fasting plasma from LSCC patients and healthy volunteers, as well as cancer and para-carcinoma tissues from LSCC patients, and performed quantitative detection of amino acid levels using liquid chromatography-mass spectrometry. We used overall analysis and multivariate statistical analysis to screen out the statistically significant differential amino acids in the plasma and tissue samples, conducted receiver operating characteristic (ROC) analysis of the differential amino acids to evaluate the sensitivity and specificity of the differential amino acids, and finally determined the diagnostic value of amino acids for laryngeal cancer. Additionally, we identified amino acids in the plasma and tissue samples that are valuable for the early diagnosis of laryngeal cancer classified according to the tumor-node-metastasis (TNM) classification. Results: Asparagine (Asp) and homocysteine (Hcy) were two amino acids of common significance in plasma and tissue samples, and their specificity and sensitivity analysis showed that they may be new biomarkers for the diagnosis and treatment of LSCC. According to the TNM staging system, phenylalanine (Phe) and isoleucine (Ile) were screened out in the plasma of LSCC patients at early (I and II) and advanced (III and IV) stages; ornithine hydrochloride (Orn), glutamic acid (Glu), and Glycine (Gly) were selected in the tissue. These dysregulated amino acids found in LSCC patients may be useful as clinical biomarkers for the early diagnosis and screening of LSCC.

Development and validation of an immune-related gene signature for prognosis in Lung adenocarcinoma.

The most common type of lung cancer tissue is lung adenocarcinoma. The TCGA-LUAD cohort retrieved from the TCGA dataset was considered the internal training cohort, while GSE68465 and GSE13213 datasets from the GEO database were used as the external test cohort. The TCGA-LUAD cohort was classified into two immune subtypes using single-sample gene set enrichment analysis of the immune gene set and unsupervised clustering analysis. The ESTIMATE algorithm, the CIBERSORT algorithm, and HLA family expression levels again validated the reliability of this typing. We performed Venn analysis using immune-related genes from the immport dataset and differentially expressed genes from the subtypes to retrieve differentially expressed immune genes (DEIGs). In addition, DEIGs were used to construct a prognostic model with the least absolute shrinkage and selection operator regression analysis. A reliable risk model consisting of 11 DEIGs, including S100P, INHA, SEMA7A, INSL4, CD40LG, AGER, SERPIND1, CD1D, CX3CR1, SFTPD, and CD79A, was then built, and its reliability was further confirmed by ROC curve and calibration plot analysis. The high-risk score subgroup had a poor prognosis and a lower tumour immune dysfunction and exclusion score, indicating a greater likelihood of anti-PD-1/cytotoxic T lymphocyte antigen 4 benefit.

Do oil, gold and metallic price volatilities prove gold as a safe haven during COVID-19 pandemic? Novel evidence from COVID-19 data.

The spreading COVID-19 outbreak has wreaked havoc on the world's financial system that raises an urgent need for the re-evaluation of the gold as safe haven for their money because of the unprecedented challenges faced by markets during this period. Therefore, the current study investigates whether different asset class volatility indices affect desirability of gold as a safe-haven commodity during COVID-19 pandemic. Long run and the short run relationship of gold prices with gold price volatility, oil price volatility, silver price volatility and COVID-19 (measured by the number of deaths due to COVID) has been analyzed in the current study by applying ARDL Bound testing cointegration and non linear ARDL approach on daily time series data ranging from January 2020 to Dec 2021. Findings of the study suggest that in the long run, oil price volatility and gold price volatility positively affect the gold prices, whereas the effect of silver price volatility on gold prices is negative in the long run. However in the short run, all the three indices negatively impact the gold prices. In contrast, the impact of COVID-19 is positive both in the short run and in the long run that proves the validity of gold as safe haven asset in the time of the deadly pandemic. The findings of this study have significant implications and offer investors with some indications to hedge their investments by considering the gold's ability of safe haven during this era of pandemic.

A GLP-1/glucagon (GCG)/CCK2 receptors tri-agonist provides new therapy for obesity and diabetes.

BACKGROUND AND PURPOSE: Glucagon-like peptide-1 (GLP-1) and glucagon (GCG) receptor dual agonist have promising therapeutic effects in the treatment of obesity and diabetes. Moreover, GLP-1 and cholecystokinin 2 (CCK2 ) dual agonists have been shown to restore pancreas function and improve glycaemic control in preclinical studies. We describe, for the first time, the beneficial effects of GLP-1/glucagon receptor and GLP-1/CCK2 dual agonists, which can be integrated into one peptide, resulting in significant anti-diabetes and anti-obesity effectiveness. EXPERIMENTAL APPROACH: The in vitro potency of this novel peptide Xenopus (x) GLP-1/GCG/CCK2 tri-agonist (xGLP/GCG/gastrin) against GLP-1, GCG, CCK1 and CCK2 receptors was determined on cells expressing the corresponding receptors by cAMP accumulation or ERK1/2 phosphorylation assays. The in vivo anti-diabetes and anti-obesity effects of this tri-agonist xGLP/GCG/gastrin were studied in both db/db and diet induced obesity (DIO) mice. KEY RESULTS: xGLP/GCG/gastrin was a potent and selective GLP-1, GCG and CCK2 tri-agonist. In DIO mice, the metabolic benefits of xGLP-1/GCG/gastrin, such as reduction of body weight and hepatic lipid contents were significantly better than those of the peptide ZP3022 (GLP-1/CCK-2 dual agonist) and liraglutide. In a short-term study in db/db mice, xGLP/GCG/gastrin treatment had considerable effects, increasing islet numbers, islet areas and insulin content. In a long-term treatment study using db/db mice, xGLP-1/GCG/gastrin showed a significantly and sustained improvement in glucose tolerance and glucose control compared with that of liraglutide, ZP3022, cotadutide (GLP-1/GCG dual agonist) and xGLP/GCG-15. CONCLUSIONS AND IMPLICATIONS: These results demonstrate the therapeutic potential of xGLP-1/GCG/gastrin for the treatment of obesity and diabetes.

UPLC-MS/MS method for simultaneously determining nucleosides and methyl-nucleosides in liver mRNA of Epimedin C-induced liver injury mouse model.

BACKGROUND: Epimedin C, one of the main active ingredients of Epimedium, has been reported to have potential hepatotoxicity. However, the mechanism of Epimedin C-induced liver injury has not been studied. mRNA methylation, mainly including N6-methyladenosine and N5-methylcytidine, is implicated in the regulation of many biological processes and diseases. The study of quantifying mRNA methylation alterations in Epimedin C-induced liver injury mice may contribute to clarify the mechanism of its hepatotoxicity. Therefore, an analysis method needs to be established to determine nucleoside and methyl-nucleoside levels in liver mRNA. METHODS: An ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was developed and validated to simultaneously determine six nucleosides (adenosine, uridine, cytidine, guanosine, N6-methyladenosine and N5-methylcytidine) in liver mRNA. Besides, the Epimedin C-induced liver injury mouse model was studied by intragastrical administration Epimedin C at a daily dose of 10 or 40 mg/kg for 4 weeks. The nucleoside samples of the mice liver mRNA were prepared and separated on an UPLC column using 0.1% formic acid water and methanol after enzymatic digestion. Then the sample was detected by a Qtrap 6500 mass spectrometer. RESULTS: In this method, calibration curves of the six nucleosides showed good linearity over their concentration ranges. The linear ranges were 40-20,000 pg/mL for adenosine, cytidine, N6-methyladenosine and N5-methylcytidine, 0.2-100 ng/mL for guanosine, and 2-1000 ng/mL for uridine. Epimedin C-induced liver injury mouse model was successfully established,which could be proved by the elevation of serum aminotransferase levels, and the increased inflammatory cell infiltration as well as vacuolar degeneration in liver. The N6-methyladenosine and N5-methylcytidine levels, and the ratios of N6-methyladenosine to adenosine and N5-methylcytidine to cytidine of the mice liver mRNA were all significantly increased after Epimedin C treatment. CONCLUSION: The established method was successfully applied to the determination of six nucleosides levels in liver mRNA of the Epimedin C-induced liver injury mice model and the control group. The results indicated that mRNA methylation might be associated with Epimedin C-induced liver injury. This study will facilitate the mechanism research on the hepatotoxicity of Epimedin C.

Comprehensive TCM treatments combined with chemotherapy for advanced non-small cell lung cancer: A randomized, controlled trial.

OBJECTIVE: We conducted this study to evaluate the efficacy and safety of traditional Chinese medicine (TCM) in advanced non-small cell lung cancer (NSCLC) patients who underwent chemotherapy. DESIGN: This was a prospective, open-label, randomized controlled trial. NSCLC patients at stage IIIA, IIIB, or IV were randomly assigned to either TCM plus chemotherapy or chemotherapy alone. The comprehensive TCM treatment consisted of Kang Ai injection, herbal decoction, and Zhenqifuzheng capsules. The primary endpoint was quality of life (QOL) measured by the Functional Assessment of Cancer Therapy-Lung version 4.0. The secondary endpoints were chemotherapy completion rate, tumor response, and adverse events. All assessments were done at baseline, the third week, and the sixth week. RESULTS: Thirty-nine participants were randomly assigned to the treatment group and 36 to the control group. The QOL scores were significantly improved in the treatment group compared with those of the control group in social well-being (cycle 1, P = .048; cycle 2, P = .015), emotional well-being (cycle 1, P = .047; cycle 2, P = 4.29E-05), and functional well-being (cycle 1, P = .030; cycle 2, P = .003), while the QOL scores in the above 3 domains declined in the control group (P < .05). Both groups had a decline in the physical well-being score (cycle 1, P = .042; cycle 2, P = .017) and lung cancer symptom score (cycle 1, P = .001; cycle 2, P = .001) after 2 courses of intervention. The deterioration in physical well-being and lung cancer symptoms was noticeably smaller in the treatment group (P < .05). There were significant differences between the 2 groups in social well-being, emotional well-being, functional well-being, lung cancer symptom domain, and the total score (P < .05). Patients in the treatment group had a significantly lower incidence of platelet reduction than the control group (P = .028) after 2 cycles of treatment. No significant difference in nonhematological adverse events (AEs) was observed. CONCLUSION: This study illustrated that comprehensive TCM treatment could promote the QOL of NSCLC patients, alleviate symptoms, and reduce the AEs caused by chemotherapy, verifying the synergistic and attenuating effects of TCM in NSCLC patients undergoing chemotherapy. TRIAL REGISTRATION: Chinese Clinical Trial Registry (www.chictr.org.cn): ChiCTR-TRC-13003637.

Network pharmacology based research into the effect and mechanism of Yinchenhao Decoction against Cholangiocarcinoma.

BACKGROUND: Cholangiocarcinoma refers to an epithelial cell malignancy with poor prognosis. Yinchenhao decoction (YCHD) showed positive effects on cancers, and associations between YCHD and cholangiocarcinoma remain unclear. This study aimed to screen out the effective active components of Yinchenhao decoction (YCHD) using network pharmacology, estimate their potential targets, screen out the pathways, as well as delve into the potential mechanisms on treating cholangiocarcinoma. METHODS: By the traditional Chinese medicine system pharmacology database and analysis platform (TCMSP) as well as literature review, the major active components and their corresponding targets were estimated and screened out. Using the software Cytoscape 3.6.0, a visual network was established using the active components of YCHD and the targets of cholangiocarcinoma. Based on STRING online database, the protein interaction network of vital targets was built and analyzed. With the Database for Annotation, Visualization, and Integrated Discovery (DAVID) server, the gene ontology (GO) biological processes and the Kyoto encyclopedia of genes and genomes (KEGG) signaling pathways of the targets enrichment were performed. The AutoDock Vina was used to perform molecular docking and calculate the binding affinity. The PyMOL software was utilized to visualize the docking results of active compounds and protein targets. In vivo experiment, the IC50 values and apoptosis rate in PI-A cells were detected using CCK-8 kit and Cell Cycle Detection Kit. The predicted targets were verified by the real-time PCR and western blot methods. RESULTS: 32 effective active components with anti-tumor effects of YCHD were sifted in total, covering 209 targets, 96 of which were associated with cancer. Quercetin, kaempferol, beta-sitosterol, isorhamnetin, and stigmasterol were identified as the vital active compounds, and AKT1, IL6, MAPK1, TP53 as well as VEGFA were considered as the major targets. The molecular docking revealed that these active compounds and targets showed good binding interactions. These 96 putative targets exerted therapeutic effects on cancer by regulating signaling pathways (e.g., hepatitis B, the MAPK signaling pathway, the PI3K-Akt signaling pathway, and MicroRNAs in cancer). Our in vivo experimental results confirmed that YCHD showed therapeutic effects on cholangiocarcinoma by decreasing IC50 values, down-regulating apoptosis rate of cholangiocarcinoma cells, and lowering protein expressions. CONCLUSIONS: As predicted by network pharmacology strategy and validated by the experimental results, YCHD exerts anti-tumor effectsthrough multiple components, targets, and pathways, thereby providing novel ideas and clues for the development of preparations and the treatment of cholangiocarcinoma.

Untargeted Metabolomics Analysis of Esophageal Squamous Cell Carcinoma Discovers Dysregulated Metabolic Pathways and Potential Diagnostic Biomarkers.

Background: Esophageal squamous cell carcinoma (ESCC) is one of the most fatal diseases worldwide. Because early diagnosis is difficult, ESCC is mostly diagnosed at an advanced stage, leading to a poor overall prognosis. The purpose of this study was to explore the differences between plasma metabolic profiles in ESCC patients and healthy controls and to establish a diagnostic model of ESCC. Methods: In this study, a cohort of 310 subjects, containing 140 ESCC patients and 170 healthy controls (HC), was recruited. Participants were randomly separated into a training set (80 ESCCs, 80 HCs) and a validation set (60 ESCCs, 90 HCs) and their plasma metabolomics profiles were analyzed by ultra-performance liquid chromatography-tandem quadruple time-of-flight mass spectrometry (UPLC-QTOF/MS) technique. Univariate statistical analysis and multivariate analysis (MVA) methods were used to identify differential metabolites. Finally, the dysregulated pathways associated with ESCC were further explored and the diagnostic performance of the biomarker panel was evaluated. Results: Metabolic analyses identified 34 significant metabolites involved in the metabolism of amino acids, phospholipids, fatty acids, purine, and choline. Farthermore, an effective diagnostic model for ESCC was constructed based on eight metabolites. This panel of biomarkers consisted of hypoxanthine, proline betaine, indoleacrylic acid, inosine, 9-decenoylcarnitine, tetracosahexaenoic acid, LPE (20:4), and LPC (20:5). The model was verified and evaluated in the validation set. The AUC value of the ROC curve was 0.991(95% CI: 0.981-1.000, CI, Confidence interval), with a sensitivity (SE) of 98.8% and a specificity (SP) of 94.9% for the training set and 0.965(95% CI: 0.936-0.993), with a SE of 88.3% and a SP of 88.9% for the validation set. Among them, three biomarkers, indoleacrylic acid, LPC (20:5), and LPE (20:4), exhibited a trend associated with the ESCC progression. Conclusions: Our study identified a novel plasma biomarker panel, which clearly distinguishes ESCC patients and provides insight into the mechanisms of ESCC. This finding may form the basis for the development of a minimally invasive method for ESCC detection.

Chinese herbal medicine for epidermal growth factor receptor inhibitor-induced skin rash in patients with malignancy: An updated meta-analysis of 23 randomized controlled trials.

OBJECTIVE: To systematically review and evaluate the effectiveness of Chinese herbal medicine (CHM) therapy for epidermal growth factor receptor inhibitor (EGFRI)-induced skin rash in patients with malignancy. METHODS: The electronic databases of Medline, PubMed, EMBASE, the Cochrane Library, China National Knowledge Infrastructure, VIP Chinese Sci-tech Journal, Wan Fang, and Chinese Biomedicine were searched from their inception to 31 st September 2018. Randomized controlled trials (RCTs) investigating the effectiveness of CHM in improving EGFRI-induced skin rash were analyzed by Review Manager 5.3. RESULTS: Twenty-three eligible RCTs with 1392 participants were identified and divided into four subgroups according to different treatment rules of Traditional Chinese Medicine (TCM) and different controls. CHM (dispel wind, clear heat, and eliminate dampness), the representative formula Xiao Feng San, is more effective than western medicine in improving and curing skin rash(RR,95%CI: 1.46,1.26-1.70 and 1.65,1.24-2.20); CHM (nourish yin, clear heat, and remove toxin for eliminating blood stasis), the representative formula Yang Fei Xiao Zhen Tang, is more effective than western medicine in improving skin rash(RR,95%CI: 1.45,1.10-1.92). CHM (clear lung and purge heat, cool blood, and remove toxic substance) is more effective in improving and curing skin rash, compared with the western medicine group (RR,95%CI: 1.42,1.21-1.67 and 2.43,1.23-4.81) or the blank control group(RR,95%CI:2.37,1.21-4.63 and 2.98,1.20-7.41). The side effects of CHM are all mild and tolerable. Sensitivity analysis indicates that the results of the study are stable. The asymmetry funnel plots described that publication bias of this research may exist. CONCLUSION: The limited evidence suggests that CHM exhibits clinical effectiveness and good safety on the treatment of EGFRI-induced skin rash. Large-sample RCTs are required to further determine the effectiveness of CHM.

Genome-Wide Analysis of the YABBY Transcription Factor Family in Pineapple and Functional Identification of AcYABBY4 Involvement in Salt Stress.

The plant-specific transcription factor gene family, YABBY, belongs to the subfamily of zinc finger protein superfamily and plays an essential regulatory role in lateral organ development. In this study, nine YABBY genes were identified in the pineapple genome. Seven of them were located on seven different chromosomes and the remaining two were located on scaffold 1235. Through protein structure prediction and protein multiple sequence alignment, we found that AcYABBY3, AcYABBY5 and AcYABBY7 lack a C2 structure in their N-terminal C2C2 zinc finger protein structure. Analysis of the cis-acting element indicated that all the seven pineapple YABBY genes contain multiple MYB and MYC elements. Further, the expression patterns analysis using the RNA-seq data of different pineapple tissues indicated that different AcYABBYs are preferentially expressed in various tissues. RT-qPCR showed that the expression of AcYABBY2, AcYABBY3, AcYABBY6 and AcYABBY7 were highly sensitive to abiotic stresses. Subcellular localization in pineapple protoplasts, tobacco leaves and Arabidopsis roots showed that all the seven pineapple YABBY proteins were nucleus localized. Overexpression of AcYABBY4 in Arabidopsis resulted in short root under NaCl treatment, indicating a negative regulatory role of AcYABBY4 in plant resistance to salt stress. This study provides valuable information for the classification of pineapple AcYABBY genes and established a basis for further research on the functions of AcYABBY proteins in plant development and environmental stress response.

Polyphyllin VI induces apoptosis and autophagy in human osteosarcoma cells by modulation of ROS/JNK activation.

PURPOSE: Polyphyllin VI, a main active saponin isolated from traditional medicinal plant Paris polyphylla, has exhibited antitumor activities in several cancer cell lines. In the present study, we investigated the antitumor effect of Polyphyllin VI against human osteosarcoma cells (U2OS) and the underlying molecular mechanisms. METHODS: The U2OS cell lines were used to determine the antiproliferative effect of Polyphyllin VI by CCK8 assay. Cell cycle was analyzed by flow cytometry. The Polyphyllin VI-induced apoptosis was determined by Annexin V-APC/7-AAD apoptosis detection kit and JC-1 staining. Meanwhile, the autophagy was determined by acridine orange staining. The apoptosis and autophagy-related proteins were monitored by Western blot assay. Subsequently, intracellular hydrogen peroxide (H2O2) and the activation of ROS/JNK pathway were detected. RESULTS: Polyphyllin VI could potently inhibit cell proliferation by causing G2/M phase arrest. Polyphyllin VI induced mitochondria-mediated apoptosis with the upregulation of proapoptotic proteins Bax and poly ADP-ribose polymerase, and downregulation of antiapoptotic protein Bcl-2 in U2OS cells. Concomitantly, Polyphyllin VI provoked autophagy with the upregulation of critical Atg proteins and accumulation of LC3B-II. Intracellular H2O2 production was triggered upon exposure to Polyphyllin VI, which could be blocked by ROS scavenger. Polyphyllin VI dramatically promoted JNK phosphorylation, whereas it decreased the levels of phospho-p38 and ERK. CONCLUSION: Our results reveal that Polyphyllin VI may effectively induce apoptosis and autophagy to suppress cell growth via ROS/JNK activation in U2OS cells, suggesting that Polyphyllin VI is a potential drug candidate for the treatment of osteosarcomas.

Determination of five nucleosides by LC-MS/MS and the application of the method to quantify N6 -methyladenosine level in liver messenger ribonucleic acid of an acetaminophen-induced hepatotoxicity mouse model.

Ribonucleic acid N6 -methyladenosine methylation plays an important role in a variety of biological processes and diseases. Acetaminophen-induced hepatotoxicity is one of the major challenges faced by clinicians. To date, the link between N6 -methyladenosine and acetaminophen-induced hepatotoxicity has not been studied. In this study, a simple ultra high performance liquid chromatography with tandem mass spectrometry method was developed for the simultaneous determination of five nucleosides (adenosine, uridine, cytidine, guanosine, and N6 -methyladenosine) in messenger ribonucleic acid. After enzymatic digestion of messenger ribonucleic acid, the nucleosides sample was separated on an Acquity UPLC column with gradient elution using methanol and 0.02% formic acid water, and detected by a Qtrap 4500 mass spectrometer with an electrospray ionization mode. The method was validated over the concentration ranges of 4-800 ng/mL for adenosine, uridine, cytidine, and guanosine and 0.1-20 ng/mL for N6 -methyladenosine. It was successfully applied to the determination of N6 -methyladenosine levels in liver messenger ribonucleic acid in an acetaminophen-induced hepatotoxicity mouse model and a control group. This study offers a method for the determination of nucleoside contents in epigenetic studies and constitutes the first step toward the investigation of ribonucleic acid methylation in acetaminophen-induced hepatotoxicity, which will facilitate the elucidation of its mechanism.

Characterization of transcriptome profile and clinical features of a novel immunotherapy target CD204 in diffuse glioma.

CD204 is a specific marker of tumor-associated macrophages (TAMs) in glioma. However, the expression levels of CD204 and its involvement in glioma are not fully understood. In this large-scale study, we assessed the expression and function of CD204 in whole-grade glioma molecularly and clinically. In total, 1323 glioma samples, including 301 microarray data and 325 RNA-seq data from the Chinese Glioma Genome Atlas (CGGA) dataset and 697 RNA-seq data from The Cancer Genome Atlas (TCGA) dataset, were utilized. The statistical analysis and graphical work were mainly performed using the R software. Univariate and multivariate Cox analysis demonstrated that CD204 was an independent prognosticator in glioma patients. CD204 expression was positively correlated with the grade of malignancy. CD204 was consistently upregulated in wild-type isocitrate dehydrogenase glioma and highly expressed in mesenchymal glioblastoma. Gene ontology of CD204-related genes showed that CD204 was most enriched in inflammatory response and immune response. It was associated with the stromal and immune populations, especially the monocytic lineage, fibroblasts, and T cells. Circos plots revealed that CD204 was closely associated with many immune checkpoint regulators, especially TIM-3. CD204 expression is consistent with the malignant phenotype of glioma and independently predicts poor outcomes in glioma patients. Additionally, CD204+ TAMs, collaborating with other checkpoint members, may contribute to the dysfunction of T cells. These findings suggest that CD204 may be a promising target for glioma immunotherapy.

In vitro metabolic profiles of motolimod by using liquid chromatography tandem mass spectrometry: Metabolic stability, metabolite characterization and species comparison.

Motolimod (VTX-2337) is an agonist of toll-like receptor 8 (TLR8) with potential immune-stimulating and antineoplastic activities. The purpose of this study was to investigate the in vitro metabolic profiles of VTX-2337. The average in vitro T1/2 values were 6.93, 8.71, 7.39, 2.85, and 10.58 min in the liver microsomes of mouse, rat, dog, monkey and human respectively, suggesting that VTX-2337 suffered from extensive metabolism. The metabolites were further profiled and identified by using ultra-high performance liquid chromatography coupled with diode array detector and Q-Exactive-Orbitrap tandem mass spectrometer (UHPLC-DAD-Q-Exactive-Orbitrap-MS) operated in positive ion mode. A total of 20 metabolites were detected and their identities were characterized based on their accurate masses, fragment ions and retention times. M13 (depropylation) was the most abundant metabolite in all species. M14 (oxygenation) was also the major metabolite in the liver microsomes of mouse, rat, monkey and human. M1, M5, M10, M15, and M16 were specifically detected in mouse, while M6 and M17 were monkey-specific. All the metabolites present in human could be found in animal species. The metabolic pathways of VTX-2337 referred to oxygenation, hydrolysis, depropylation, and dehydrogenation. Rat had the similar metabolic profiles to humans. The current study provided overall metabolic profiles of VTX-2337, which would be of great help in predicting in vivo pharmacokinetic profiles and in understanding the effectiveness and safety of this drug.

Metabolic profiles of 20(S)-protopanaxadiol in rats after oral administration using ultra-performance liquid chromatography/quadrupole time-of-flight tandem mass spectrometry.

RATIONALE: 20(S)-Protopanaxadiol (PPD), a dammarane-type triterpenoid sapogenin, acts as the pharmacophore of ginsenosides which are considered as the principal bioactive components in Chinese ginseng. To fully understand the mechanism of action of PPD, it is important to study its metabolic profiles in vivo. METHODS: Plasma, urine, fece and bile were collected after administration of PPD formulated in 0.5% aqueous Tween-80 to rats (150 mg/kg). Samples were analyzed by using a sensitive and reliable method based on ultra-performance liquid chromatography/quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF-MS/MS) in both positive and negative ion mode. The chemical structures of metabolites were elucidated by comparing the retention time, accurate molecular mass, and fragmentation patterns of analytes with those of PPD. RESULTS: In total 29 metabolites, including 10 new metabolites (M20-M29), were tentatively identified and characterized. Among them, two metabolites (M3 and M4) were unambiguously identified by matching their retention times and fragmentation patterns with their standards. Principal metabolites, namely, 20, 24-oxide metabolites (M3 and M4), 26/27-carboxylic acid derivatives (M22 and M23) and a glucuronidated product (M28), were found in the rat plasma. CONCLUSIONS: The results showed that phase I metabolites are monooxygenation, dioxygenation and oxidative dehydrogenation metabolites, and phase II metabolic pathways were demonstrated to be cysteine conjugation and glucuronidation. The newly identified metabolites are useful to understand the mechanism of elimination of PPD and, in turn, its effectiveness and toxicity.