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Background:: Sini decoction (SND) is a widely used Traditional Chinese Medicine (TCM). The reports of SND application in colorectal cancer (CRC) is limited. Objective:: The objective of this study is to investigate the anti-tumor activity of SND in the treatmeant of CRC Methods:: SND was analyzed using high-performance liquid chromatography. A CRC metastasis model was established using murine CT-26 cells. Whole-body fluorescence imaging was used to observe CRC liver metastasis. Liver morphology was determined using hematoxylin-eosin staining. Cytokine mRNA expression (interleukin-2 (IL-2), interleukin-10 (IL-10), interferon-gamma (IFN-γ), and tumor necrosis factor beta (TNF-β)) were determined using real-time reverse transcription polymerase chain reaction. Spectral flow cytometry was used to detect mouse tumor immune subgroups. Databases were used to find potential target genes of SND. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were used to identify potential signaling pathways of target genes. Results:: SND suppressed CRC liver metastasis and alleviated liver injury in vivo. After SND treatment, IL-2 and IFN-γ were upregulated, whereas IL-10 and TGF-β were downregulated. Moreover, CD3+, CD8+T cells, natural killer T cells, and macrophages increased significantly after SND treatment, while CD4+CD25+T cells decreased significantly. Importantly, increasing the aconite concentration had a better anti-tumor effect. Fifty-50 compounds in SND were screened, and 611 potential target genes were identified. Functional analyses showed that the genes were associated with the PI3K-Akt signaling pathway, EGFR tyrosine kinase inhibitor resistance, and HIF-1 signaling pathway. Conclusion:: SND exerts anti-tumor activity by inhibiting tumor progression and enhancing anti-tumor immunity in mice, suggesting its application to prevent and treat CRC. conclusion: SND exerts its anti-tumor activity by inhibiting tumor progression and enhancing the anti-tumor immune response in mice. SND could be used as a drug to prevent and treat for colon cancer. other: none

The hypoglycemic and metabolic effects of Ficus racemosa fruit were studied in diabetic mice, and its potential mechanisms of hypoglycemic activity and its alleviation of diabetic complications were explored using a metabolomics approach.

Hepatocellular carcinoma (HCC) is one of the most malignant tumors worldwide and HCC patients often develop drug resisitene. Long non-coding RNAs (LncRNAs) are closely related to cell cycle, growth, development, differentiation, and apoptosis. Abnormally expressed lncRNAs have been proved to mediate drug resistance in tumor cells. However, the effect of LIMT on drug resistance has not been explored in HCC. In this study, we explored the effect of long non-coding RNA LIMT on drug resistance and its underlying mechanism in hepatocellular carcinoma (HCC). Our results showed that LncRNA LINC01089 (LIMT) expression is downregulated in 78.57% (44/56) of 56 HCC tumor tissue samples. LIMT expression is also downregulated in HCC cells compared with that in normal liver LO2 cells. Inhibition of LIMT increases the resistance to sorafenib and promotes cell invasion via regulation of epithelial to mesenchymal transition (EMT) in HCC. StarBase V3.0 was used to predict the potential binding site of miR-665 in . Furthermore, miR-665 participates in sorafenib resistance and also regulates the level of EMT-related proteins in HCC cells. A rescue experiment demonstrated that silencing of eliminats the inhibitory effect of the miR-665 inhibitor on sorafenib resistance in HCC cells. Taken together, our findings revealed that downregulation of LIMT increases the resistance of HCC to sorafenib via miR-665 and EMT. Therefore, LIMT, which serves as a therapeutically effective target, will provide new hope for the treatment of HCC.

Gastrointestinal stromal tumors (GISTs) are common neoplasms of the gastrointestinal tract that can be treated successfully using C-kit target therapy and surgery; however, imatinib chemoresistance is a major barrier to success in therapy. The present study aimed to discover alternative pathways in imatinib-resistant GISTs. Long noncoding RNAs (lncRNAs) are newly discovered regulators of chemoresistance. Previously, we showed that the lncRNA HOTAIR was upregulated in recurrent GISTs. In this study, we analyzed differentially expressed lncRNAs after imatinib treatment and found that HOTAIR displayed the largest increase. The distribution of HOTAIR in GISTs was shifted from nucleus to cytoplasm after imatinib treatments. The expression of HOTAIR was validated as related to drug sensitivity through Cell Counting Kit-8 assays. Moreover, HOTAIR was associated strongly with cell autophagy and regulated drug sensitivity via autophagy. Mechanistically, HOTAIR correlated negatively with miRNA-130a in GISTs. The downregulation of miRNA-130a reversed HOTAIR-small interfering RNA-induced suppression of autophagy and imatinib sensitivity. We identified autophagy-related protein 2 homolog B (ATG2B) as a downstream target of miR-130a and HOTAIR. ATG2B downregulation reversed the effect of pEX-3-HOTAIR/miR-130a inhibitor on imatinib sensitivity. Finally, HOTAIR was shown to influence the autophagy and imatinib sensitivity of GIST cells in mouse tumor models. Our results suggested that HOTAIR targets the ATG2B inhibitor miR-130a to upregulate the level of cell autophagy so that promotes the imatinib resistance in GISTs.

A fluorogenic probe for the specific detection of IMP-1 β-lactamase activity has been developed. This imaging reagent features a unique trans-acetylamino cephalosporin as an enzymatic recognition moiety, exhibiting excellent selectivity to IMP-1 β-lactamase over other β-lactamases, including serine- and metallo-β-lactamases. The selective activation of the probe by IMP-1 β-lactamase leads to over 30-fold enhancement in the fluorescence intensity, which allows enzyme activity to be reported with high sensitivity.

The discovery of novel non-invasive biomarkers for discriminating between prostate carcinoma (PCa) patients and benign prostatic hyperplasia (BPH) patients is necessary to reduce the burden of biopsies, avoid overdiagnosis and improve quality of life. Previous studies suggest that abnormal glycosylation of immunoglobulin gamma molecules (IgGs) is strongly associated with immunological diseases and prostate diseases. Hence, characterizing N-linked intact glycopeptides of IgGs that correspond to the N-glycan structure with specific site information might enable a better understanding of the molecular pathogenesis and discovery of novel signatures in preoperative discrimination of BPH from PCa. In this study, we profiled N-linked intact glycopeptides of purified IgGs from 51 PCa patients and 45 BPH patients by our developed N-glycoproteomic method using hydrophilic interaction liquid chromatography enrichment coupled with high resolution LC-MS/MS. The quantitative analysis of the N-linked intact glycopeptides using pGlyco 2.0 and MaxQuant software provided quantitative information on plasma IgG subclass-specific and site-specific N-glycosylation. As a result, we found four aberrantly expressed N-linked intact glycopeptides across different IgG subclasses. In particular, the N-glycopeptide IgG2-GP09 (EEQFNSTFR (H5N5S1)) was dramatically elevated in plasma from PCa patients, compared with that in BPH patients (PCa/BPH ratio = 5.74, p = 0.001). Additionally, the variations in these N-linked intact glycopeptide abundances were not caused by the changes in the IgG concentrations. Furthermore, IgG2-GP09 displayed a more powerful prediction capability (auROC = 0.702) for distinguishing PCa from BPH than the clinical index t-PSA (auROC = 0.681) when used alone or in combination with other indicators (auROC = 0.853). In conclusion, these abnormally expressed N-linked intact glycopeptides have potential for non-invasive monitoring and pre-stratification of prostate diseases.

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal disease with poor prognosis. Insights into the roles of MicroRNAs (miRNAs) in diseases, particularly in cancer, have made miRNAs attractive tools and targets for novel therapeutic approaches. Methods: Here, we employed a novel chimeric peptide supramolecular nanoparticle delivery system for plectin-1 (PL-1)-targeted PDAC-specific miR-9 delivery in vitro and in pancreatic cancer patient-derived xenograft (PDX) model. RT-PCR and immunohistochemistry (IHC) were conducted to detect the expression pattern of eIF5A2. mRFP-GFP-LC3 fluorescence microscopy and Western blot were carried out to determine autophagy. Luciferase reporter assays were performed to elucidate the regulatory role of miR-9/eIF5A2 axis. Results: PL-1/miR-9 nanocomplexes dramatically improve the anticancer effect of doxorubicin through downregulating eIF5A2 expression to inhibit autophagy and induce apoptosis in PDAC therapy in vivo. Mechanistically, miR-9 directly targets the eIF5A2 transcript by binding to its 3'-untranslated region (3'-UTR) to reduce the expression levels and the secreted protein of eIF5A2 in PDAC cells. Conclusion: PL-1/miR-9 nanoparticles can be used as a novel promising anti-cancer strategy with tumor targeting and miR-9/eIF5A2 may serve as a new potential therapeutic target for future synergic therapy against human PDAC.

In order to solve the problems of high risk and low efficiency of the traditional rock mass structure logging method of open-pit mine slope, this paper proposes a method to improve the geological logging of traditional open-pit mine slope by using UAV tilt photography technology. Taking the slope of an open-pit quarry as an example, this method expounds the application method and work flow of UAV photography technology in geological logging. The experimental results show that the maximum and minimum absolute errors in the X direction of UAV test are 5.1 cm and 1.1 cm, respectively; MAE value is 2.90 cm; and RMSE value is 3.17 cm. The maximum and minimum absolute errors in Y direction are 3.3 cm and 0.9CM, respectively; MAE value is 2.36 cm; and RMSE value is 2.498 cm. Vertical error refers to the error in elevation. The maximum and minimum absolute errors in Z direction are 9.6 cm and 5.7 cm, respectively; MAE value is 7.44 cm; and RMSE value is 7.54 cm. Conclusion. The reliability of this technology is verified by comparing the occurrence measured by compass and that calculated by point cloud. On this basis, the dominant occurrence of structural plane is divided, which provides basic data support for the analysis of mine slope stability.

In order to solve the problems of insufficient frequency, time-consuming, and labor-consuming of monitoring and measurement in the process of tunnel construction, a tunnel construction monitoring and measurement technology based on Internet of Things is proposed in this paper. This method adopts the basic theory and technology of Internet of Things, analyzes the fit relationship between Internet of Things technology and tunnel construction, uses the comprehensive perception, reliable transmission, and intelligent auxiliary technology possessed by the existing Internet of Things technology system, and has been successfully applied to tunnel engineering. The experimental results show that the contact pressure between the surrounding rock and the initial support on the monitoring and measurement section in the tunnel is zero after the initial support shotcrete is applied. The contact pressure between the surrounding rock and the shotcrete layer at the right arch waist of the left tunnel is the smallest, and the stress in the whole change process is less than 10 kPa. The contact pressure between surrounding rock and shotcrete layer after excavation is divided into three stages. Conclusion. the tunnel construction monitoring and measurement technology based on Internet of Things technology fully realizes the intellectualization and informatization of the construction process, plays a scientific and effective monitoring and early warning role, and reduces the project cost of the whole project, which has a certain engineering value.

Gastric cancer (GC) is a common malignancy with low 5‐year overall survival (OS). Recently, immune therapy has been used to treat cancer. B7H5 and CD28H are novel immune checkpoint molecules. However, the prognostic value of B7H5/CD28H expression in patients with GC remains unclear. In this study, seventy‐one patients diagnosed with GC were included in this study. Patients' GC tissues and matched adjacent tissue constructed a tissue microarray. The expression levels of B7H5 and CD28H were examined using immunohistochemistry. Correlations between the expression of B7H5 and CD28H and the clinical data were evaluated. We found that the expression of B7H5 and CD28H (both P = .001) were higher in GC tumour tissues than in adjacent noncancerous tissues. B7H5/CD28H expression acted as an independent predictive factor in the OS of patients with GC. High expression of B7H5 and CD28H predicted poor outcome. Patients in the B7H5+CD28H+ group had a lower 5‐year OS compared with patients in the B7H5−CD28− group (4.5% vs 55.6%, P = .001). A significant difference was found in the 5‐year OS between patients in the B7H5+CD28H− and B7H5+CD28H+ groups (33.5% vs 4.5%, P = .006). However, there was no correlation between B7H5 and CD28H expression (P = .844). Therefore, B7H5 and CD28H expression are up‐regulated in GC and are independent prognostic factors for overall survival in patients with GC. Although there was no correlation between B7H5 and CD28H expression, high expression of B7H5 and CD28H predicts poor prognosis, especially when both are highly expressed.

A fluorogenic probe for the specific detection of IMP-1 β-lactamase activity has been developed. This imaging reagent features a unique

Many sandy soil foundations need to be solidified during traffic construction in Guangxi, China. Because it has a similar chemical composition as cement, municipal solid waste incineration fly ash (MSWIFA) can strengthen sandy soil. However, the chloride ions and heavy metals in MSWIFA may have a negative influence on the solidification of sandy soil. Thus, FA resource use faces great challenges. This study evaluates the feasibility of using MSWIFA to solidify sandy soil. The acetic acid buffer solution method was used in the leaching test to simulate the weak acid groundwater environment in the Guangxi karst landform. The effects of the treatment methods (washing with ferrous sulphate solution, pre-treatment of organics via chelation, and adding sugarcane ash) on the strength and environmental characteristics of fly ash cement-stabilised soil (FACS) are discussed in detail. The results indicate that the FACS unconfined compressive strength (UCS) decreased by 24.82–46.64% when 5% cement was replaced with FA. Sugarcane ash effectively improved the strength of FACS by more than 10%. The leaching concentrations of Zn and Cu in the FACS meet the concentration limit set by GB 16889-2008. The leaching concentrations of Cr and Pb after washing with 6% ferrous sulphate solution were reduced by more than 30%. Meanwhile, the FACS strength developed faster. Organic chelating agents solidified most heavy metals.

Antibiotic resistance caused by β-lactamases, particularly metallo-β-lactamases, has been a major threat to public health globally. New Delhi metallo-β-lactamase-1 (NDM-1) represents one of the most important metallo-β-lactamases; the production of NDM-1 in bacterial pathogen significantly reduces the efficacy of β-lactam antibiotics, including life-saving carbapenems. Herein, we have demonstrated stereochemically altered cephalosporins as potent inhibitors against NDM-1, as well as mutants of NDM. The structure and activity relationship (SAR) study on over twenty cephalosporin analogues discloses the stereochemistry and the substituents on 7-position and 3'-position of cephalosporin are critical to suppress the activity of NDM-1 and the optimal compound 1u exhibited an IC

COVID-19 is mainly associated with respiratory distress syndrome, but a subset of patients often present gastrointestinal (GI) symptoms. Imbalances of gut microbiota have been previously linked to respiratory virus infection. Understanding how the gut–lung axis affects the progression of COVID-19 can provide a novel framework for therapies and management. In this study, we examined the gut microbiota of patients with COVID-19 (n = 47) and compared it to healthy controls (n = 19). Using shotgun metagenomic sequencing, we have identified four microorganisms unique in COVID-19 patients, namely Streptococcus thermophilus, Bacteroides oleiciplenus, Fusobacterium ulcerans, and Prevotella bivia. The abundances of Bacteroides stercoris, B. vulgatus, B. massiliensis, Bifidobacterium longum, Streptococcus thermophilus, Lachnospiraceae bacterium 5163FAA, Prevotella bivia, Erysipelotrichaceae bacterium 6145, and Erysipelotrichaceae bacterium 2244A were enriched in COVID-19 patients, whereas the abundances of Clostridium nexile, Streptococcus salivarius, Coprococcus catus, Eubacterium hallii, Enterobacter aerogenes, and Adlercreutzia equolifaciens were decreased (p < 0.05). The relative abundance of butyrate-producing Roseburia inulinivorans is evidently depleted in COVID-19 patients, while the relative abundances of Paraprevotella sp. and the probiotic Streptococcus thermophilus were increased. We further identified 30 KEGG orthology (KO) modules overrepresented, with 7 increasing and 23 decreasing modules. Notably, 15 optimal microbial markers were identified using the random forest model to have strong diagnostic potential in distinguishing COVID-19. Based on Spearman’s correlation, eight species were associated with eight clinical indices. Moreover, the increased abundance of Bacteroidetes and decreased abundance of Firmicutes were also found across clinical types of COVID-19. Our findings suggest that the alterations of gut microbiota in patients with COVID-19 may influence disease severity. Our COVID-19 classifier, which was cross-regionally verified, provides a proof of concept that a set of microbial species markers can distinguish the presence of COVID-19.

Yi Zhong,1,* Tao Su,1,* Qiuxiao Shi,1 Yanru Feng,1 Ze Tao,1 Qiuxia Huang,1 Lan Li,1 Liqiang Hu,1 Shengfu Li,1 Hong Tan,2 Shan Liu,3 Hao Yang1 1Key Lab of Transplant Engineering and Immunology, MOH, West China-Washington Mitochondria and Metabolism Research Center, West China Hospital, Sichuan University, Chengdu 610041, People’s Republic of China; 2Department of General Surgery, Chengdu Integrated TCM & Western Medicine Hospital (Chengdu First People’s Hospital), Chengdu 610041, People’s Republic of China; 3Department of Laboratory Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 610072, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shan LiuDepartment of Laboratory Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, No. 32, West Second Section First Ring Road, Chengdu, Sichuan 610072, People’s Republic of ChinaTel +86 28 6138 2518Email shanliusyy@163.comHao YangKey Lab of Transplant Engineering and Immunology, MOH, West China Hospital, No. 1, Keyuan 4th Road, Hi-tech Zone, Chengdu 610041, People’s Republic of ChinaTel +86 28 85164031Email yanghao@scu.edu.cnBackground: Nanoparticles exhibit great promise for improving the solubility and tissue-specific distribution of chemotherapeutic agents; however, the passive and highly variable enhanced permeability and retention (EPR) effects observed in tumors frequently leads to insufficient delivery of nanodrugs into tumors. The tumor-penetrating peptide iRGD can actively enhance tumor-selective delivery of nanoparticles into tumors by binding to integrin and interacting with tissue-penetrating receptor neuropilin-1.Materials and methods: To improve colorectal cancer treatment, in this study, we prepared a paclitaxel (PTX)-loaded PLGA nanoparticle (PLGA-PTX) and evaluated its tumor-targeting and antitumor activity by co-administration with iRGD.Results: Compared to free PTX, encapsulated PTX retained preferential cytotoxicity toward various colorectal cancer cells while effectively sparing healthy cells. PLGA-PTX treatment resulted in cell cycle arrest at the G2/M phase and apoptosis, leading to inhibition of cancer cell migration and invasion. PLGA-PTX combined with iRGD displayed little enhancement of cytotoxicity in vitro. Despite this, iRGD receptors integrin and neuropilin-1 were found to be primarily overexpressed on abundant tumor vessels in mice bearing colorectal tumors. Consequently, co-administration of nanoparticles with iRGD promoted the selective delivery of nanoparticles into tumor tissues in vivo. Additionally, the combined regimen enhanced the antitumor effects compared to those of each individual reagent.Conclusion: Our findings suggest that PLGA nanoparticles combined with the iRGD peptide provide a promising drug delivery strategy for facilitating active drug accumulation into tumors, given that iRGD receptors are overexpressed on tumor vessels. This co-administration system lacking covalent conjugation provides a more convenient means to combine various therapeutic agents with iRGD to achieve personalized nanotherapy.Keywords: tumor penetrating peptide, nanoparticle, iRGD, paclitaxel, tumor vasculature, colorectal cancer

Reported herein is a novel p-quinone methide-based self-immobilizing fluorogenic probe for the visualization of β-galactosidase activities in live cells. This easily prepared imaging reagent massively increases the fluorescence intensity and covalently links to the activation site with high efficiency upon enzymatic trigger.

SARS-CoV-2 is the etiological agent responsible for the ongoing pandemic of coronavirus disease 2019 (COVID-19). The main protease of SARS-CoV-2, 3CLpro, is an attractive target for antiviral inhibitors due to its indispensable role in viral replication and gene expression of viral proteins. The search of compounds that can effectively inhibit the crucial activity of 3CLpro, which results to interference of the virus life cycle, is now widely pursued. Here, we report that epigallocatechin-3-gallate (EGCG), an active ingredient of Chinese herbal medicine (CHM), is a potent inhibitor of 3CLpro with half-maximum inhibitory concentration (IC50) of 0.874 ± 0.005 μM. In the study, we retrospectively analyzed the clinical data of 123 cases of COVID-19 patients, and found three effective Traditional Chinese Medicines (TCM) prescriptions. Multiple strategies were performed to screen potent inhibitors of SARS-CoV-2 3CLpro from the active ingredients of TCMs, including network pharmacology, molecular docking, surface plasmon resonance (SPR) binding assay and fluorescence resonance energy transfer (FRET)-based inhibition assay. The SPR assay showed good interaction between EGCG and 3CLpro with KD ~6.17 μM, suggesting a relatively high affinity of EGCG with SARS-CoV-2 3CLpro. Our results provide critical insights into the mechanism of action of EGCG as a potential therapeutic agent against COVID-19.

Acute pancreatitis (AP) is an inflammatory disorder of pancreas that lacks effective specific drugs as well as gold standard laboratory tests for diagnosis and severity assessment. Chaiqin chengqi decoction (CQCQD) has been proven to alleviate the severity and mortality of AP, but its underlying mechanisms remain incompletely understood.To investigate the correlation between metabolic trajectories of the serum and pancreas, the metabolic pathways with respect to the onset and progression of AP, and investigate the effect of CQCQD in modulating the dysregulated pancreatic metabolism of AP.Serum and pancreas samples from cerulein-induced AP mice were collected for pathology, biochemical index assessment, LC-MS/MS based metabolomics and functional validation over the course of 1 - 24 h. The temporal trends of pancreatic and serum metabolites in AP were analyzed using Mfuzz clustering algorithm, and their associations were revealed by Pearson correlation analysis. The metabolic trajectories and pathways across multi-timepoints were analyzed by univariate and multivariate statistical analyses, and the AP-related metabolic pathways were further screened by metabolite correlation and network interaction analyses. Finally, the changes in metabolite levels and metabolic trajectory after CQCQD therapy were identified, and the altered expression of related metabolic enzymes was verified by RT-qPCR, western blotting, and immunohistochemistry.Amino acid metabolism was significantly altered in the pancreas and serum of AP, but with different trends. The unsynchronized "open" and "closed" metabolic trajectories in pancreas and serumrevealed that metabolic processes occur earlier in peripheral rather than local tissue, with the most obvious changes occuring at 12 h in the pancreas which were also consistent with the inflammation score results. Several amino acid intermediates showed strong positive correlation between serum and pancreas, and therein serum cystathionine was positively correlated to 33 pancreatic metabolites. In particular, the correlations between the levels of pancreatic cystathionine and methionine, serine, and glutathione (GSH) emphasized the importance of trans-sulfuration to GSH metabolism for AP progression. CQCQD treatment reversed the metabolic trajectory of the pancreas, and also restored the levels of cystathionine and glutathione synthase.Our results have defined a unique time-course metabolic trajectory for AP progression in both the serum and pancreas; it has also revealed a key role of CQCQD in reversing AP-associated metabolic alterations, thus providing new metabolic targets for the treatment and prognosis of AP.

The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread globally to over 200 countries with more than 23 million confirmed cases and at least 800,000 fatalities as of 23 August 2020. Declared a pandemic on March 11 by World Health Organization, the disease caused by SARS-CoV-2 infection, called coronavirus disease 2019 (COVID-19), has become a global public health crisis that challenged all national healthcare systems. This review summarized the current knowledge about virologic and pathogenic characteristics of SARS-CoV-2 with emphasis on potential immunomodulatory mechanism and drug development. With multiple emerging technologies and cross-disciplinary approaches proving to be crucial in our global response against COVID-19, the application of PROteolysis TArgeting Chimeras strategy, CRISPR-Cas9 gene editing technology, and Single-Nucleotide-Specific Programmable Riboregulators technology in developing antiviral drugs and detecting infectious diseases are proposed here. We also discussed the available but still limited epidemiology of COVID-19 as well as the ongoing efforts on vaccine development. In brief, we conducted an in-depth analysis of the pathogenesis of SARS-CoV-2 and reviewed the therapeutic options for COVID-19. We also proposed key research directions in the future that may help uncover more underlying molecular mechanisms governing the pathology of COVID-19.

The densely glycosylated spike (S) proteins that are highly exposed on the surface of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) facilitate viral attachment, entry, and membrane fusion. We have previously reported all the 22 N-glycosites and site-specific N-glycans in the S protein protomer. Herein, we report the comprehensive and precise site-specific O-glycosylation landscapes of SARS-CoV-2 S proteins, which were characterized using high-resolution mass spectrometry. Following digestion using trypsin and trypsin/Glu-C, and de-N-glycosylation using PNGase F, we determined the mucin-type (GalNAc-type) O-glycosylation pattern of S proteins, including unambiguous O-glycosites and the 6 most common O-glycans occupying them, via Byonic identification and manual validation. Finally, 43 O-glycosites were identified in the insect cell-expressed S protein. Most glycosites were modified by non-sialylated O-glycans such as HexNAc(1) and HexNAc(1)Hex(1). In contrast, 30 O-glycosites were identified in the human cell-expressed S protein S1 subunit. Most glycosites were modified by sialylated O-glycans such as HexNAc(1)Hex(1)NeuAc(1) and HexNAc(1)Hex(1)NeuAc(2). Our results are the first to reveal that the SARS-CoV-2 S protein is a mucin-type glycoprotein; clustered O-glycans often occur in the N- and the C-termini of the S protein, and the O-glycosite and O-glycan compositions vary with the host cell type. These site-specific O-glycosylation landscapes of the SARS-CoV-2 S protein are expected to provide novel insights into the viral binding mechanism and present a strategy for the development of vaccines and targeted drugs.

Background Cisplatin is widely used as a first-line treatment for non-small cell lung cancer (NSCLC), but chemoresistance remains a major clinical obstacle for efficient use. As a microRNA, miR-223 was reported to promote the doxorubicin resistance of NSCLC. However, whether miR-223 is also involved in cisplatin resistance of NSCLC and the mechanism miR-223 involved in drug resistance is unclear. Accumulated evidence has shown that abnormal autophagy is associated with tumor chemoresistance. The study aimed to study the role of miR-223 on cisplatin sensitivity in NSCLC and uncover the potential mechanisms. Methods NSCLC cells transfected with mimic or inhibitor for miR-223 was assayed for chemoresistance in vitro. MiR-223 expression was assessed by quantitative real-time PCR (qRT-PCR). Western blot were used to study the expression level of F-box/WD repeat-containing protein 7 (FBXW7) and autophagy-related protein. The effect of miR-223 on cisplatin sensitivity was examined by using CCK-8, EdU assays and Autophagic flux assay. Luciferase assays, EdU assays and small interfering RNA were performed to identify the targets of miR-223 and the mechanism by which it promotes treatment resistance. Xenograft models were established to investigate the effect of mir-223 on cisplatin sensitivity. Results In the present study, we found that the level of miR-223 was significantly positively correlated with cisplatin resistance. MiR-223 overexpression made NSCLC cells resistant to cisplatin treatment. We further found that autophagy mediated miR-223-mediated cisplatin resistance in NSCLC cells. Further mechanistic research demonstrated that miR-223 directly targeted FBXW7. The overexpression of miR-223 could inhibit the level of FBXW7 protein expression, thus promoting autophagy and making NSCLC cells resistant to cisplatin. Finally, we confirmed the increased effect of cisplatin sensitivity by miR-223 Antagomir in xenograft models of NSCLC. Conclusions Our results demonstrate that miR-223 could enhance autophagy by targeting FBXW7 in NSCLC cells. Inhibition of autophagy by miR-223 knockdown provides a novel treatment strategy to alleviate cisplatin resistance in NSCLC.

Additional file 1: Table S1. Sequences used for siRNA and RT-PCR in the study.

Gemcitabine is the cornerstone of pancreatic cancer treatment. Although effective in most patients, development of tumor resistance to gemcitabine can critically limit its efficacy. The mechanisms responsible for this phenomenon remain elusive, but evidence suggests that ubiquitin-specific peptidases (USPs) may be key regulators in cancer chemo-resistance. The present study aimed to investigate the role of USP9X in gemcitabine resistance using in vitro pancreatic cell lines and a mouse xenograft model. We found that the expression of USP9X in pancreatic cancer cells was positively correlated with gemcitabine resistance, and that inhibition of USP9X by WP1130 sensitized pancreatic cancer cells to gemcitabine. Gemcitabine induced autophagy, and blocking autophagy with chloroquine improved sensitivity to gemcitabine. We also found that WP1130 inhibited gemcitabine-induced autophagy, and blocking autophagy abolished the sensitization effect of WP1130 on gemcitabine in pancreatic cancer cells. Finally, combined gemcitabine and WP1130 treatment enhanced the anti-tumor effect of gemcitabine by suppressing autophagy in vivo. Taken together, these results demonstrate that inhibition of USP9X sensitized pancreatic cancer cells to gemcitabine by inhibiting autophagy, which provides a novel insight into gemcitabine resistance in pancreatic cancer.

MicroRNAs (miRNAs) play crucial roles in various biological processes, including migration, proliferation, differentiation, cell cycling, and apoptosis. Epithelial-mesenchymal transition (EMT) has been shown to be related to the capability of migration and invasion in many tumor cells. In this study, we used wound-healing assay and transwell invasion to analysis the capability of migration and invasion in non-small-cell lung carcinoma (NSCLC), respectively. The expression of ubiquitin-specific protease-9-X-linked (USP9X) and miR-212 messenger RNA (mRNA) was determined by quantitative real-time polymerase chain reaction and Western blot analysis was used to determine the E-cadherin and vimentin expression. Our results showed that miR-212 mimic inhibited cell migration and invasion, while miR-212 inhibitor increased cell migration and invasion. There was no significant difference between WP1130 and miR-212 mimic combined with WP1130 groups. Moreover, WP1130 inhibited the capability of the migration and invasion of NSCLC cells. Western blot analysis displayed that miR-212 mimic upregulated E-cadherin expression and downregulated vimentin expression, while miR-212 inhibitor downregulated E-cadherin and upregulated vimentin expression. These data showed that miR-212 regulated NSCLC cell invasion and migration by regulating USP9X expression. Taken together, these findings indicated that miR-212 regulated NSCLC cells migration and invasion through targeting USP9X involved in EMT.

Deciphering and visualizing proteomics data are a big challenge for high-throughput proteomics research. In this work, we develop a free interactive web software platform, MixProTool, for processing multigroup proteomics data sets. This tool provides integrated data analysis workflow, including quality control assessment, normalization, soft independent modeling of class analogy, statistics, gene ontology enrichment, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. This software is also highly compatible with the identification and quantification results of various frequently used search engines, such as MaxQuant, Proteome Discoverer, or Mascot. Moreover, all analyzed results can be visualized as vector graphs and tables for further analysis. MixProTool can be conveniently operated by users, even those without bioinformatics training, and it is extremely useful for mining the most relevant features among different samples. MixProTool is deployed at the public shinyapps io server.

Obesity is fast becoming a serious health problem worldwide. Of the many possible antiobesity strategies, one interesting approach focuses on blocking adipocyte differentiation and lipid accumulation to counteract the rise in fat storage. However, there is currently no drug available for the treatment of obesity that works by inhibiting adipocyte differentiation. Here we use a broad-based metabolomics approach to interrogate and better understand metabolic changes that occur during adipocyte differentiation. In particular, we focus on changes induced by the antiadipogenic diarylheptanoid, which was isolated from a traditional Chinese medicine Dioscorea zingiberensis and identified as (3 R,5 R)-3,5-dihydroxy-1-(3,4-dihydroxyphenyl)-7-(4-hydroxyphenyl)-heptane (1). Targeted aqueous metabolic profiling indicated that a total of 14 metabolites involved in the TCA cycle, glycolysis, amino acid metabolism, and purine catabolism participate in regulating energy metabolism, lipogenesis, and lipolysis in adipocyte differentiation and can be modulated by diarylheptanoid 1. As indicated by lipidomics analysis, diarylheptanoid 1 restored the quantity and degree of unsaturation of long-chain free fatty acids and restored the levels of 171 lipids mainly from 10 lipid classes in adipocytes. In addition, carbohydrate metabolism in diarylheptanoid-1-treated adipocytes further demonstrated the delayed differentiation process by flux analysis. Our results provide valuable information for further understanding the metabolic adjustment in adipocytes subjected to diarylheptanoid 1 treatment. Moreover, this study offers new insight into developing antiadipogenic leading compounds based on metabolomics.

Despite its rarity (1%-2%), acute graft-versus-host disease after liver transplantation (LT-aGVHD) has a high mortality rate (85%). A gradual decrease in regulatory T cells (Tregs) correlates with disease progression in a rat LT-GVHD model, and treatments which increase Tregs exert therapeutic effects on LT-aGVHD. In this study, LT-aGVHD model rats were treated with rapamycin (RAPA), OSI-027, or an equal quantity of vehicle. Rats treated with OSI-027 survived longer (>100 days) than those in the RAPA (70 ± 8 days) or control (24 ± 3 days) groups. Flow cytometric analysis showed that the Treg ratios in peripheral blood mononuclear cells in the OSI-027 group were higher than those in the RAPA or control groups. The proportions of donor-derived lymphocytes in the OSI-027 group were lower than those in the RAPA or control groups. Hematoxylin-eosin staining of skin tissue demonstrated less severe lymphocyte infiltration in the OSI-027 group than that in the RAPA or control groups. In vitro, OSI-027 induced differentiation of CD4+ CD25- T cells into CD4+ CD25+ forkhead box P3+ Tregs. Furthermore, injection of OSI-027-induced donor-derived CD4+ CD25+ T cells into the peripheral blood of LT-aGVHD model rats prevented LT-aGVHD. Thus, OSI-027 is implicated as a novel method for the treatment of LT-aGVHD. Liver Transplantation 23 1186-1198 2017 AASLD.

This study aimed to investigate the efficacy and safety of transanal endoscopic microsurgery for radical resection of sigmoid cancer.91 patients with sigmoid cancer who underwent sigmoid cancer resection were divided to the Control Group (43 patients who underwent conventional laparoscopic surgery and pathological specimens were taken through the abdomen) and the Study Group (48 patients who were subjected to transanal endoscopic microsurgery and pathological specimens were taken through the anus). Comparisons were made about the operation time and the amount of surgical bleeding of the two groups, as well as the postoperative exhaust time and postoperative visual analogue score (VAS) of the two groups. Also, factors like the complications, postoperative hospitalization time, additional analgesic treatment, and treatment efficacy of patients within the first month after the surgery were compared between the two groups. Finally, a 3-year follow up for patients was performed to record the 3-year recurrence rates.The operation time and the amount of surgical bleeding of the Study Group were significantly lower than those of the Control Group (p0.05); the 3-year recurrence rate of the Study Group was lower than that of the Control Group. On the contrary, the 3-year survival rate of the Study Group was significantly higher than that of the Control Group (p0.05).The application of transanal endoscopic microsurgery for radical resection of sigmoid cancer is worthy of clinical promotion despite its high technical requirements for the surgeon and certain degree of promotion difficulty, since it boasts high effective rate, low rate of complications, and the contribution for decreased recurrence rate and improved survival. Key words: anal endoscopic microsurgery, sigmoid cancer, effectiveness, safety analysis.

Reported herein is a relebactam-derived fluorogenic reagent for covalent labeling of serine β-lactamases (SBLs), which are the major causes of bacterial resistance to β-lactam antibiotics. This highly selective imaging reagent generates over 300-fold stronger near-infrared fluorescence signals upon covalently bonding to SBLs, allowing wash-free visualization of live antimicrobial-resistant bacteria.

Liver cancer is a leading cause of cancer-related deaths globally. Tumor response rate of liver cancer patients towards systemic chemotherapy is low and chemoresistance can easily develop. Identifying novel molecules that can repress drug resistance and metastasis of liver cancer will facilitate the development of new therapeutic strategies. The aim of this study is to determine the roles of NUAK1 and miR-204 in the drug resistance and metastasis of liver cancer and to reveal their relationship. We found that NUAK1 was increased in the tumor of primary liver cancer. Knockdown of NUAK1 significantly inhibited cell growth and migration. Moreover, NUAK1 was the direct downstream target of miR-204, and there was clinical relevance between miR-204 down-regulation and NUAK1 up-regulation in liver cancer. Furthermore, we found that miR-204 increased drug sensitivity by down-regulating NUAK1 expression. Based on these results, we identified miR-204 as a tumor suppressor by inhibiting NUAK1 expression in liver cancer, indicating both miR-204 and NUAK1 may act as promising targets for liver cancer therapy.

Facing the normalization of epidemic situation in COVID-19 at present, how to effectively prevent and control the epidemic situation is very important. The traditional face recognition method is short in recognition distance and can’t recognize whether to wear a mask, so it is not suitable for today’s environment of epidemic prevention. In this paper, MLX90614 high precision infrared probe is used. According to the principle that the infrared energy is focused on the photodetector and converted into corresponding electrical signals, using gradient calibration and linear data acquisition method to program, the function of high-precision long-distance contactless body temperature measurement is realized. The face recognition function uses the camera to scan a number of key attributes in the face, uses advanced mathematics to carry out three-dimensional modeling, establishes the curvature, gradient, curl, angle and distance data corresponding to the feature points, and iteratively compares them with the feature values to realize the recognition of the face and whether to wear a mask or not. Finally, K210 intelligent chip is used as the main controller to connect with each part to realize its function, and the actual verification test is carried out, and good results are achieved.

Background Acute pancreatitis (AP) is an inflammatory disorder of the pancreas that is associated with substantial morbidity and mortality. Chaiqin chengqi decoction (CQCQD) has been proven clinically to be an effective treatment for AP for decades in West China Hospital. Quality control for CQCQD containing many hundreds of characteristic phytochemicals poses a challenge for developing robust quality assessment metrics. Purpose To evaluate quality consistency of CQCQD with a multi-strategy based analytical method, identify potential quality-markers (Q-markers) based on drug properties and effect characteristics, and endeavor to establish CQCQD as a globally-accepted medicine. Methods A typical analysis of constitutive medicinal plant materials was performed following the Chinese Pharmacopoeia. The extraction process was optimized through an orthogonal array (L9(34)) to evaluate three levels of liquid to solid ratio, soaking time, duration of extraction, and the number of extractions. An ultra-high-performance liquid chromatography (UHPLC) fingerprinting combined with absolute quantitation of multi chemical marker compounds, coupled with similarity, hierarchical clustering analysis (HCA), and principal component analyses (PCA) were performed to evaluate 10 batches of CQCQD. On the basis of systematic analysis of fundamental features of CQCQD in treating AP, the potential Q-marker screen was proposed through detection of quality transfer and efficacy for chemical markers. UHPLC coupled with quadrupole orbitrap mass spectrometry were used to determine compounds in medicinal materials, decoctions and plasma. Network pharmacology and taurolithocholic acid 3-sulfate induced pancreatic acinar cell death were used to evaluate the correlation between chemical markers and anti-pancreatitis activity. A cerulein induced AP murine model was used to validate quality assessed CQCQD batches at clinically-equivalent dose. The effective content of chemical markers was predicted using linear regression analysis on quantitative information between validated batches and the other batches. Results The chemical markers and other physical and chemical indices in the original materials met Chinese Pharmacopoeia standards. A total of 22 co-existing fingerprint peaks were selected and the similarity varied between 0.946 and 0.990. Batch D10 possessed the highest similarity index. HCA classified the 10 batches into 2 main groups: 7 batches represented by D10 and 3 batches represented by D1. During the initial Q-marker screen stage, 22 compounds were detected in both plant materials and decoctions, while 13 compounds were identified in plasma. Network pharmacology predicted the potential targets and pathway of AP related to the 22 compounds. All 10 batches showed reduced necrosis below 60% with the best effect achieved by D10 (~40%). The spectrum-efficacy relationship analyzed by Pearson correlation analysis indicated that emodin, rhein, aloe emodin, geniposide, hesperridin, chrysin, syringin, synephrine, geniposidic acid, magnolol, physcion, sinensetin, and baicalein showed positive correlation with pancreatic acinar cell death protection. Similar to the in vitro evaluation, batch D10 significantly reduced total histopathological scores and biochemical severity indices at a clinically-equivalent dose but batch D1 did not. The content of naringin, narirutin and baicalin in batches D1, D5 and D9 consistently exceeds the upper limit of the predicted value. Eight markers whose lower limit is predicted to be close to 0 contributed less to the material basis for AP protection. Conclusion Despite qualified materials used for CQCQD preparation, the clinical effect depends on appropriate content range of Q-markers. Emodin, rhein, aloe emodin, magnolol, hesperidin, synephrine, baicalein, and geniposide are considered as vital Q-markers in the primary screen. This study proposed a feasible platform for producing highly consistent batches of CQCQD in future study.