Comprehensive widely targeted metabolomics to decipher the molecular mechanisms of Dioscorea opposita thunb. cv. Tiegun quality formation during harvest.

Dioscorea opposita Thumb. cv. Tiegun is commonly consumed as both food and traditional Chinese medicine, which has a history of more than two thousand years. Harvest time directly affects its quality, but few studies have focused on metabolic changes during the harvesting process. Here, a comprehensive metabolomics approach was performed to determine the metabolic profiles during six harvest stages. Thirty eight metabolites with significant differences were determined as crucial participants. Related metabolic pathways including phenylalanine, tyrosine and tryptophan biosynthesis, stilbenoid, diarylheptanoid and gingerol biosynthesis, phenylpropanoid biosynthesis, flavonoid biosynthesis and tryptophan metabolism were the most active pathways during harvest. The results revealed that temperature has a significant impact on quality formation, which suggested that Dioscorea opposita thumb. cv. Tiegun harvested after frost had higher potential value of traditional Chinese medicine. This finding not only offered valuable guidance for yam production, but also provided essential information for assessing its quality.

Unveiling the impact of harvest time on Dioscorea opposita Thunb. cv. Tiegun maturity by NMR-based metabolomics and LC-MS/MS analysis.

BACKGROUND: Dioscorea opposita Thunb. cv. Tiegun maturity (DM) is an important factor influencing its quality. However, there are few studies on the impact of harvest time on its maturation. In the present study, a NMR-based metabolomics approach was applied to investigate the dynamic metabolic changes of D. opposita Thunb. cv. Tiegun at six different harvest stages: stage 1 (S1), stage 2 (S2), Stage 3 (S3), stage 4 (S4), stage 5 (S5) and stage 6 (S6). RESULTS: Principal component analysis showed distinct segregation of samples obtained from S1, S2 and S3 compared to those derived from S4, S5 and S6. Interestingly, these samples from the two periods were obtained before and after frost, indicating that frost descent might be important for DM. Eight differential metabolites responsible for good separation of different groups were identified by the principal component analysis loading plot and partial least squares-discriminant analysis. In addition, quantitative analysis of these metabolites using liquid chromatography-tandem mass spectrometry determined the effects of harvest time on these metabolite contents, two of which, sucrose and allantoin, were considered as potential biomarkers to determine DM. CONCLUSION: The present study demonstrated that NMR-based metabolomics approach could serve as a powerful tool to identify differential metabolites during harvesting processes, also offering a fresh insight into understanding the DM and the potential mechanism of quality formation. © 2024 Society of Chemical Industry.

Coronavirus Mask Protection Algorithm: A New Bio-inspired Optimization Algorithm and Its Applications.

Nowadays, meta-heuristic algorithms are attracting widespread interest in solving high-dimensional nonlinear optimization problems. In this paper, a COVID-19 prevention-inspired bionic optimization algorithm, named Coronavirus Mask Protection Algorithm (CMPA), is proposed based on the virus transmission of COVID-19. The main inspiration for the CMPA originated from human self-protection behavior against COVID-19. In CMPA, the process of infection and immunity consists of three phases, including the infection stage, diffusion stage, and immune stage. Notably, wearing masks correctly and safe social distancing are two essential factors for humans to protect themselves, which are similar to the exploration and exploitation in optimization algorithms. This study simulates the self-protection behavior mathematically and offers an optimization algorithm. The performance of the proposed CMPA is evaluated and compared to other state-of-the-art metaheuristic optimizers using benchmark functions, CEC2020 suite problems, and three truss design problems. The statistical results demonstrate that the CMPA is more competitive among these state-of-the-art algorithms. Further, the CMPA is performed to identify the parameters of the main girder of a gantry crane. Results show that the mass and deflection of the main girder can be improved by 16.44% and 7.49%, respectively.

The development of COVID-19 treatment.

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a pandemic named coronavirus disease 2019 (COVID-19) that has become the greatest worldwide public health threat of this century. Recent studies have unraveled numerous mysteries of SARS-CoV-2 pathogenesis and thus largely improved the studies of COVID-19 vaccines and therapeutic strategies. However, important questions remain regarding its therapy. In this review, the recent research advances on COVID-19 mechanism are quickly summarized. We mainly discuss current therapy strategies for COVID-19, with an emphasis on antiviral agents, neutralizing antibody therapies, Janus kinase inhibitors, and steroids. When necessary, specific mechanisms and the history of therapy are present, and representative strategies are described in detail. Finally, we discuss key outstanding questions regarding future directions of the development of COVID-19 treatment.

Discovery of a potent and long-acting Xenopus GLP-1-based GLP-1/glucagon/Y2 receptor triple agonist.

The combination of incretin-based therapies and PYY analogue has shown great potential for the treatment of type 2 diabetes (T2DM) and obesity. In this study we developed the first example of a unimolecular triple agonist peptide to simultaneously target GLP-1, glucagon and Y2 receptors, aiming for superior weight loss and better glycemic control. The strategy for constructing such a unimolecular triple agonist peptide is the conjugation of the GLP-1R/GCGR dual-agonistic moiety and PYY moiety via maleimide-thiol specific reaction. A novel triple agonist peptide, 3b, was identified via stepwise structure optimization, long-acting modification and in vitro receptor screens. Peptide 3b exhibited potent and balanced GCGR and GLP-1R activities as well as potent and highly selective Y2R activity. Peptide 3b potently reduced food intake without triggering nausea associated behavior in kaolin consumption and conditioned taste aversion assays. In diet induced obesity (DIO) mice, a lower dose of 3b achieved significantly better effects on lipid metabolism, body weight, and glycemic control than higher dose of GLP-1R mono-agonist, GLP-1R/GCGR dual agonist and GLP-1R/Y2R dual agonist counterparts. Collectively, these data support the therapeutic potential of our GLP-1R/GCGR/Y2R triple agonist 3b as a novel anti-obesity and anti-diabetic agent. Targeting GLP-1R, GCGR and Y2R with unimolecular triple agonist peptide offers a route to develop new obesity and T2DM treatments.

A tumor immune microenvironment-related integrated signature can predict the pathological response and prognosis of esophageal squamous cell carcinoma following neoadjuvant chemoradiotherapy: A multicenter study in China.

BACKGROUND: Currently, there are insufficient indicators for the reliable assessment of treatment response following neoadjuvant chemoradiotherapy (nCRT) in patients with esophageal squamous cell carcinoma (ESCC). Considering the essential role of protein-coding and non-coding RNAs in gene regulation and cellular processes, we systematically explored the molecular features and clinical significance of mRNA and lncRNA in 249 pretreatment biopsies from four hospitals in three districts with a high incidence of ESCC patients in China. METHODS: During the discovery phrase, 13 differentially expressed genes were identified and validated between samples with a complete pathological response (pCR) and those with an incomplete pathological response (

Design of Xenopus GLP-1-Based Long-Acting Dual GLP-1/Y2 Receptor Agonists.

GLP-1 receptor (GLP-1R) and neuropeptide Y2 receptor (Y2R) dual agonists have shown great potential to treat obesity and type 2 diabetes (T2DM). We developed a multitarget strategy to design monomeric agonists based on Xenopus GLP-1 (xGLP-1) and PYY3-36 analogues with dual activation activities on GLP-1R and Y2R. A novel peptide, 6q, was obtained via stepwise structure optimization and in vitro receptor screens. In db/db and diet-induced obesity (DIO) mice, 6q produced greater effects on long-term glycemic control and body weight reduction than GLP-1R and Y2R monoagonist counterparts. Notably, in high-fat diet-induced nonalcoholic steatohepatitis (NASH) mice, 6q treatment significantly reduced hepatic triglyceride and total cholesterol levels and reversed hepatic steatosis compared with GLP-1R monoagonist (liraglutide) treatment. Collectively, these data support the therapeutic potential of our GLP-1R/Y2R dual agonist 6q as a novel antidiabetic, antiobesity, and antisteatotic agent.

Discovery of METTL3 Small Molecule Inhibitors by Virtual Screening of Natural Products.

N6-Methyladenosine (m6A) is the most prevalent mRNA modification in mammalian cells that is mainly catalyzed by the methyltransferase complex of methyltransferase-like 3 and methyltransferase-like 14 (METTL3-METTL14). Many lines of evidence suggest that METTL3 plays important roles in several diseases such as cancers and viral infection. In the present study, 1,042 natural products from commercially available sources were chosen to establish a screening library, and docking-based high-throughput screening was performed to discover potential METTL3 inhibitors. The selected compounds were then further validated by an in vitro methyltransferase inhibition assay in which m6A content was determined by LC-MS/MS. A cellular assay of the inhibition of m6A methylation was performed to determine the METTL3 inhibitory activity of the selected compound. CCK-8 assay was applied to evaluate the effects of the selected compound on tumor cell viability. Additionally, binding mode analysis, molecular dynamics (MD) simulation, and binding free energy analysis were performed to study the process and characteristics of inhibitor binding. Finally, quercetin was identified as a METTL3 inhibitor with an IC50 value of 2.73 µM. The cellular assay of m6A methylation inhibition showed that quercetin decreased m6A level in a dose-dependent manner in MIA PaCa-2 pancreatic cancer cells. CCK-8 assay showed quercetin efficiently inhibited the proliferation of MIA PaCa-2 and Huh7 tumor cells, with IC50 values 73.51 ± 11.22 µM and 99.97 ± 7.03 µM, respectively. Molecular docking studies revealed that quercetin filled the pocket of the adenosine moiety of SAM but not the pocket of the SAM methionine in the METTL3 protein, and hydrogen bonds, hydrophobic interactions, and pi-stacking were formed. The values of the root mean square deviation (RMSD), the root mean square fluctuations (RMSF), and binding free energy suggested that quercetin can efficiently bind to the pocket of the METTL3 protein and form a stable protein-ligand complex. The present study is the first to identify METTL3 inhibitors from natural products, thus providing a basis for subsequent research and facilitating the development of METTL3-targeting drugs for diseases.

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.

Peptide-based long-acting co-agonists of GLP-1 and cholecystokinin 1 receptors as novel anti-diabesity agents.

The combined use of gastrointestinal hormones for treating metabolic diseases is gaining increasing attention. It was documented previously that co-administration of a cholecystokinin receptor-1 receptor (CCK-1R) agonist with a glucagon-like peptide-1 receptor (GLP-1R) agonist exerted improved effects on metabolic improvements in obese rodents. Here, we reported a series of novel GLP-1R/CCK-1R co-agonists constructed by linking the C-terminus of a GLP-1R agonist (native GLP-1 or Xenopus GLP-1) to the N-terminus of a CCK-1R selective agonist NN9056. The stability of co-agonists was further enhanced by introducing an albumin binding motif. In vitro functional assays revealed that the co-agonists retained full agonism potency on GLP-1R and CCK-1R. Particularly, 2a and 2c showed higher hypoglycemic and insulinotropic activities than NN9056 and semaglutide. The glucose-lowering durations and PK profiles of 2a and 2c were comparable to those of semaglutide. Desirably, in diet induced obesity (DIO) mice, 2a and 2c exhibited superior metabolic benefits to NN9056 and semaglutide in reducing food intake, inducing body weight loss, and regulating lipid metabolism. In short- and long-term studies in diabetic db/db mice, 2a and 2c showed enhanced effects on HbA1c, glucose tolerance, and pancreas function restoration compared with semaglutide. Importantly, no side effects, toxicities, or pancreatic inflammation were caused by 2a and 2c treatments. These preclinical studies suggest that the pharmacological effects of CCK-1 and GLP-1 pathways can be harnessed in a single fusion peptide, yielding a promising combination therapy strategy for treating metabolic disorders.

Identification of integrative molecular and clinical profiles of Fibrinogen-like protein 2 in gliomas using 1323 samples.

BACKGROUND: Fibrinogen-like protein 2 (FGL2), a member of the fibrinogen superfamily, has been described to augment immunosuppression in gliomas. However, the precise clinical molecular features and the prognostic relevance of FGL2 in gliomas remain unclear. Therefore, a comprehensive analysis of the role of FGL2 in gliomas would provide insights into the therapeutic implications for this disease. METHODS: Totally, 1323 glioma samples with RNA-seq and microarray data from TCGA and CGGA databases were used to clarify the clinical significance and molecular profile of FGL2 in glioma. The findings were further validated through immunohistochemistry (IHC). RESULTS: The transcriptional level of FGL2 was positively associated with tumor grade in gliomas, which was confirmed at the protein level through IHC staining. Consistently, FGL2 was significantly enriched in isocitrate dehydrogenase wild-type tumors and the mesenchymal subtype of gliomas. We also demonstrated FGL2 expression correlated with high immune scores and infiltration of immune cell populations, including T cells, macrophages and B cells. Pearson's correlation analysis revealed that FGL2-related genes correlated with inflammatory-immune responses, particularly T cell-mediated immune response. Additionally, FGL2 expression was found tightly associated with immune checkpoints PD-L1 and PD-L2. Clinically, patients with high FGL2 expression exhibited unfavorable overall survival. CONCLUSION: Our results provide the integrative molecular and clinical profiles of FGL2 in gliomas and emphasize the importance of prospective studies on the FGL2-related immune-inflammatory network.

Hypoxia-induced GBE1 expression promotes tumor progression through metabolic reprogramming in lung adenocarcinoma.

Hypoxia mediates a metabolic switch from oxidative phosphorylation to glycolysis and increases glycogen synthesis. We previously found that glycogen branching enzyme (GBE1) is downstream of the hypoxia-inducible factor-1 (HIF1) signaling pathway in lung adenocarcinoma (LUAD) cells; however, the molecular mechanism underlying HIF1 regulation of GBE1 expression remains unknown. Herein, the effect of GBE1 on tumor progression via changes in metabolic signaling under hypoxia in vitro and in vivo was evaluated, and GBE1-related genes from human specimens and data sets were analyzed. Hypoxia induced GBE1 upregulation in LUAD cells. GBE1-knockdown A549 cells showed impaired cell proliferation, clone formation, cell migration and invasion, angiogenesis, tumor growth, and metastasis. GBE1 mediated the metabolic reprogramming of LUAD cells. The expression of gluconeogenesis pathway molecules, especially fructose-1,6-bisphosphatase (FBP1), was markedly higher in shGBE1 A549 cells than it was in the control cells. FBP1 inhibited the tumor progression of LUAD. GBE1-mediated FBP1 suppression via promoter methylation enhanced HIF1α levels through NF-κB signaling. GBE1 may be a negative prognostic biomarker for LUAD patients. Altogether, hypoxia-induced HIF1α mediated GBE1 upregulation, suppressing FBP1 expression by promoter methylation via NF-κB signaling in LUAD cells. FBP1 blockade upregulated HIF1α, triggered the switch to anaerobic glycolysis, and enhanced glucose uptake. Therefore, targeting HIF1α/GBE1/NF-κB/FBP1 signaling may be a potential therapeutic strategy for LUAD.

Analysis of lncRNA, miRNA and mRNA-associated ceRNA networks and identification of potential drug targets for drug-resistant non-small cell lung cancer.

Background: Drug resistance to chemotherapeutic drugs or targeted medicines is an obstacle encountered in the treatment of non-small-cell lung cancer (NSCLC). However, the mechanisms of competing endogenous RNA (ceRNA) on the drug resistance in NSCLC are rarely reported. In this paper, the comprehensive expression profiles of lncRNAs and mRNAs in drug-resistant NSCLC cells were obtained by RNA sequencing. Methods: The dysregulated lncRNAs, miRNAs and mRNAs in drug-resistant NSCLC cell lines were identified by RNA-sequencing and bioinformatics methods. Results: A total of 39 dysregulated lncRNAs and 650 dysregulated mRNAs were identified between drug-resistant NSCLC cell lines and their parental cell lines. Additionally, 33 lncRNA-miRNA-mRNA pathways in the ceRNA network in drug-resistant NSCLC were constructed through bioinformatics methods and ceRNA regulatory rules. These comprised 12 dysregulated lncRNAs, five dysregulated miRNAs, and eight dysregulated mRNAs. In addition, lncRNA ATP2B1/miR-222-5p/TAB2 and lncRNA HUWE1/miR-222-5p/TAB2 were identified as potential ceRNA networks involved in drug resistance to NSCLC. Conclusions: The current study provides a promising therapeutic strategy against the lncRNA-miRNA-mRNA ceRNA regulatory network for NSCLC treatment and deepens our comprehension of the ceRNA regulatory mechanisms related to drug resistance to NSCLC.

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.

Integrated quality evaluation strategy for multi-species resourced herb medicine of Qinjiao by metabolomics analysis and genetic comparation.

BACKGROUND: Quality evaluation of multi-species resourced herb medicine (MSRHM) is a main problem for quality control of herb medicine. Current quality evaluation methodology lost consideration of species discrepancy. New quality evaluation strategy for MSRHM is in urgent need. Qinjiao, a representative MSRHM, originated from Gentiana macrophylla Pall., Gentiana straminea Maxim., Gentiana crassicaulis Duthie ex Burk. or Gentiana dahurica Fisch., has been used as an important herb medicine over 2000 years for expelling wind-dampness and relieving impediment pain. However, quality evaluation among species has never been revealed. The current work proposes an integrated quality evaluation strategy for MSRHM of Qinjiao, which may promote innovation of quality control of MSRHM. METHODS: In this work, 58 batches of Qinjiao covering 4 species were collected. Genetic comparative analysis based on ITS2 sequence was conducted. Metabolomics analysis based on TOF-MS and NMR spectrum were carried out. Compounds underlying species differences were identified and their discrepancies among species were investigated by ANOVA analysis and multivariate analysis. RESULTS: Four species of Qinjiao can be authenticated by ITS2 sequence comparation. Metabolomics analysis by TOF/MS and NMR revealed chemical discrepancies among species of Qinjiao. Maximum discrepancy was present between Gentiana crassicaulis Duthie ex Burk. and Gentiana dahurica Fisch. Chemical difference among species were tentative explored. For TOF-MS profiling, 28 constituents were tentative identified, 17 of which were further confirmed by standards. For 1H-NMR profiling, signals from 5 compounds were assigned. Contents discrepancies were investigated by ANOVA analysis. It seems that (seco)iridoids like loganic acid, gentiopicroside or swertiamarin were richer in specie of Gentiana crassicaulis Duthie ex Burk., while flavonoid (morroniside) and triterpenoids (roburic aicd, ursolic acid, oleanolic acid, ß-sitosterone) were richer in specie of Gentiana dahurica Fisch. The current research demonstrates that metabolite profiling based on both UPLC/Q-TOF MS and 1H-NMR coupled with ITS2 sequence comparation can be a powerful tool for quality investigation of MSRHM of Qinjiao. CONCLUSIONS: A comprehensive quality evaluation strategy for MSRHM was proposed by integrating UPLC-Q-TOF-MS, NMR based metabolic analysis and ITS2 sequence genetic comparation. The proposed quality evaluation strategy shall promote innovation of quality control of traditional Chinese medicine.

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.

An overview of recent progress in siderophore-antibiotic conjugates.

Multi-drug resistant infections caused by Gram-negative bacteria have become one of the most important reasons for the failure of clinical anti-infective treatment. Siderophore-antibiotic conjugates, which were designed based on a "Trojan horse" strategy wherein features enabled active uptake to bypass the Gram-negative cell wall, have been expected to be a weapon for anti-infective treatment in the clinic. Herein, we review antibiotic drug design strategies based on mimics of nature siderophores reported in recent years, we also focus our attention on the relationship between the type of linker and the corresponding antibacterial activity.

NMR-based metabolomics approach to investigate the distribution characteristics of metabolites in Dioscorea opposita Thunb. cv. Tiegun.

Dioscorea opposita Thunb. cv. Tiegun (DTT), a type of homologous medicinal plant, is commonly used as food in daily life. However, there has always been confusion regarding removal of the peel, as the nutrient metabolite composition of the peel is unclear. Here, a nuclear magnetic resonance (NMR)-based metabolomics approach was used to determine the metabolite distribution in DTT exclude-peel and peel. Thirteen characteristic metabolites with statistical significance were identified and compared using multivariate, univariate and cluster analyses. The results demonstrated that the peel contained the higher levels of α-glucose, batatasin IV, batatasin I, asparagine, ß-glucose, protodioscin, threonine, protogracillin, dioscin, and ß-sitosteryl acetate, and the samples without the peel had the higher levels of leucine, glutamine and alanine. This study provided scientific data for understanding the distribution characteristics of metabolites in DTT samples, promoting reasonable consumption of DTT.

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.