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Background. Clear cell renal cell carcinoma (ccRCC) is one of the most lethal malignancies in the urinary system, yet effective diagnostic and prognostic markers are lacking. Recently, several of piRNA pathway genes have been reported to be associated with cancer diagnosis and prognosis, but their role in ccRCC is still unclear. Methods. We analysed the expression of 27 piRNA pathway genes in 539 kidney renal clear cell carcinoma (KIRC) and 72 nontumor tissue samples (data from TCGA), and 12 mRNAs were significantly different. The aim was to sift the piRNA pathway genes that are correlated with ccRCC patient survival and to construct a piRNA pathway gene risk prognostic model using Kaplan-Meier survival curve and ROC curve, respectively. Results. 5 piRNA pathway genes (TDRD7, GPAT2, PLD6, SUV39H1, and DOM3Z) were picked out and used to construct the piRNA pathway gene risk model. Kaplan-Meier survival curve analysis showed that compared with that of the low-risk group of ccRCC patients, the OS of the high-risk group of ccRCC patients was significantly reduced. The predictive performance of the prognostic risk model was measured using a ROC curve, which individually showed AUC values for 1 year of 0.707, for 3 years of 0.713, and for 5 years of 0.701. Moreover, the mRNA and protein expression levels of TDRD7 were overexpressed in the ccRCC datasets (data from our cohort, TCGA, GEO, and CPTAC) and ccRCC cell lines, and the expression levels correlated with the clinicopathological characteristics in ccRCC. The Tumor Immune Estimation Resource (TIMER) showed that the mRNA expression level of TDRD7 was positively related to tumor immune infiltrating cells (TICs) in ccRCC. Mechanistically, gene set enrichment analysis (GSEA) was performed to uncover the mechanism of TDRD7 in ccRCC. In summary, the piRNA pathway genes,especially TDRD7, may be potential cancer diagnostic and prognostic biomarkers of ccRCC.

Monoclonal immunoglobulin produced by clonal plasma cells is the main cause in multiple myeloma and monoclonal gammopathy of renal significance. Because of the complicated purification method and the low stoichiometry of purified protein and glycans, site-specific N-glycosylation characterization for monoclonal immunoglobulin is still challenging. To profile the site-specific N-glycosylation of monoclonal immunoglobulins is of great interest. Therefore, in this study, we presented an integrated workflow for micro monoclonal IgA and IgG purification from patients with multiple myeloma in the HYDRASYS system, in-agarose-gel digestion, LC-MS/MS analysis without intact N-glycopeptide enrichment, and compared the identification performance of different mass spectrometry dissociation methods (EThcD-sceHCD, sceHCD, EThcD and sceHCD-pd-ETD). The results showed that EThcD-sceHCD was a better choice for site-specific N-glycosylation characterization of micro in-agarose-gel immunoglobulins (~2 μg) because it can cover more unique intact N-glycopeptides (37 and 50 intact N-glycopeptides from IgA1 and IgG2, respectively) and provide more high-quality spectra than sceHCD, EThcD and sceHCD-pd-ETD. We demonstrated the benefits of the alternative strategy in site-specific N-glycosylation characterizing micro monoclonal immunoglobulins obtained from bands separated by electrophoresis. This work could promote the development of clinical N-glycoproteomics and related immunology.

Highlights • Compared with SARS-CoV-2 infected general population, patients with HIV co-infection mostly have milder clinical presentation. • A single test of viral RNA test and antibodies against SARS-CoV-2 might be insufficient to exclude COVID-19 infection in patients with HIV. • The milder extent of inflammatory response to SARS-CoV-2 infection might be associated with a previous history of ART in HIV-infected patients., Objectives We aimed to explore the effect of antiretroviral treatment (ART) history on clinical characteristics of patients with co-infection of SARS-CoV-2 and HIV. Methods We retrospectively reviewed 20 patients with laboratory-confirmed co-infection of SARS-CoV-2 and HIV in a designated hospital. Patients were divided into medicine group (n = 12) and non-medicine group (n = 8) according to previous ART history before SARS-CoV-2 infection. Results The median age was 46.5 years and 15 (75%) were female. Ten patients had initial negative RT-PCR on admission, 5 of which had normal CT appearance and 4 were asymptomatic. Lymphocytes were low in 9 patients (45%), CD4 cell count and CD4/CD8 were low in all patients. The predominant CT features in 19 patients were multiple (42%) ground-glass opacities (58%) and consolidations (32%). Erythrocyte sedimentation rate (ESR) in the medicine group was significantly lower than that in the non-medicine group [median (interquartile range, IQR):14.0 (10.0–34.0) vs. 51.0 (35.8–62.0), P = 0.005]. Nineteen patients (95%) were discharged with a median hospital stay of 30 days (IQR, 26–30). Conclusions Most patients with SARS-CoV-2 and HIV co-infection exhibited mild to moderate symptoms. The milder extent of inflammatory response to SARS-CoV-2 infection might be associated with a previous history of ART in HIV-infected patients.

Site-specific N-glycosylation characterization requires intact N-glycopeptide analysis based on suitable tandem mass spectrometry (MS/MS) method. Electron-transfer/higher-energy collisional dissociation (EThcD), stepped collision energy/higher-energy collisional dissociation (sceHCD), higher-energy collisional dissociation-product-dependent electron-transfer dissociation (HCD-pd-ETD), and a hybrid mass spectrometry fragmentation method EThcD-sceHCD have emerged as valuable approaches for glycoprotein analysis. However, each of them incurs some compromise, necessitating the systematic performance comparisons when applied to the analysis of complex clinical samples (e.g., plasma, urine, cells, and tissues). Herein, we compared the performance of EThcD-sceHCD with those previous approaches (EThcD, sceHCD, HCD-pd-ETD, and sceHCD-pd-ETD) in the intact N-glycopeptide analysis, and determined its applicability for clinical N-glycoproteomic study. The intact N-glycopeptides of distinct samples, namely, plasma from prostate cancer (PCa) patients, urine from immunoglobulin A nephropathy (IgAN) patients, human hepatocarcinoma cell line (HepG2), and thyroid tissues from thyroid cancer (TC) patients were analyzed by these methods. We found that EThcD-sceHCD outperformed other methods in the balance of depth and accuracy of intact N-glycopeptide identification, and sceHCD and EThcD-sceHCD have good complementarity. EThcD-sceHCD holds great potential for biomarker discovery from clinical samples.

Tumor angiogenesis inhibitors such as Bevacizumab, Ramucirumab and Endostar have been applied to the therapy of non-small cell lung carcinoma (NSCLC) patients, especially for lung adenocarcinoma (LUAD). However, several safe concerns such as neutropenia, febrile neutropenia and hypertension pulmonary hemorrhage limit their further development. And they often showed poor efficacy and serious side effect for lung squamous cell carcinoma (LUSC) patient. Thus, identification of effective and safe tumor angiogenesis inhibitor for NSCLC therapy is warranted. Apigenin is a bioflavonoid with potential anti-tumor effect and perfect safety, but its effect on tumor angiogenesis and underlying mechanism are still unclear. Herein, we found that apigenin not merely suppressed endothelial cells related motilities but also reduced pericyte coverage. Further research showed that apigenin had strong suppressive activity against HIF-1α expression and its downstream VEGF-A/VEGFR2 and PDGF-BB/PDGFβR signaling pathway. Apigenin also reduced microvessel density and pericyte coverage on the xengraft model of NCI-H1299 cells, leading to suppression of tumor growth. Moreover, apigenein showed perfect anti-angiogenic effect in xengraft model of LUSC cell NCI-H1703 cells, indicating it may be developed into a potential angiogenesis inhibitor for LUSC patient. Collectively, our study provides new insights into the anti-tumor mechanism of apigenin and suggests that apigenin is a safe and effective angiogenesis inhibitor for NSCLC therapy.

Chemoresistance is the major restriction on the clinical use of cisplatin. Aberrant changes in protein glycosylation are closely associated with drug resistance. Comprehensive study on the role of protein glycosylation in the development of cisplatin resistance would contribute to precise elucidation of the complicated mechanism of resistance. However, comprehensive characterization of glycosylated proteins remains a big challenge. In this work, we integrated proteomic and N-glycoproteomic workflow to comprehensively characterize the cisplatin resistance-related membrane proteins. Using this method, we found that proteins implicated in cell adhesion, migration, response to drug, and signal transduction were significantly altered in both protein abundance and glycosylation level during the development of cisplatin resistance in the non-small cell lung cancer cell line. Accordingly, the ability of cell migration and invasion was markedly increased in cisplatin-resistant cells, hence intensifying their malignancy. In contrast, the intracellular cisplatin accumulation was significantly reduced in the resistant cells concomitant with the down-regulation of drug uptake channel protein, LRRC8A, and over-expression of drug efflux pump proteins, MRP1 and MRP4. Moreover, the global glycosylation was elevated in the cisplatin-resistant cells. Consequently, inhibition of N-glycosylation reduced cell resistance to cisplatin, whereas promoting the high-mannose or sialylated type of glycosylation enhanced the resistance, suggesting that critical glycosylation type contributes to cisplatin resistance. These results demonstrate the high efficiency of the integrated proteomic and N-glycoproteomic workflow in discovering drug resistance-related targets, and provide new insights into the mechanism of cisplatin resistance.

Green innovation (GI) is widely regarded as a strategy for pursuing sustainable corporate development. Drawing from the organisational information processing theory, this study investigates the moderation effect of information technology (IT) capability in shaping the impacts of ambidexterity and two types of GI practices, green product innovation (GPDI) and green process innovation (GPCI). Using a selective sampling of 368 firms in China, this study validates a 30-item measurement scale and approves the proposed theoretical model. The data obtained were then analysed using the structural equation modelling (SEM) executed by the AMOS 23 application. The results confirm the vital role of two sides of ambidexterity, namely, exploitation and exploration, in improving GI and the positive effects of GI on sustainable corporate development (i.e., environment, social, and financial sustainability). More importantly, IT capability only positively moderates the relationship between GI and one side of ambidexterity, i.e., exploitation. This study contributes to the strategies to better prepare companies in developing markets to achieve GPDI and GPCI as core competencies. Findings also provide evidence for practitioners to invest in GI to facilitate better corporate sustainability.

Deciphering the glycosylation of the viral envelope (Env) glycoprotein is critical for evaluating viral escape from the host’s immune response and developing vaccines and antiviral drugs. However, it is still challenging to precisely decode the site-specific glycosylation characteristics of the highly glycosylated Env proteins, although glycoproteomics have made significant advances in mass spectrometry techniques and data analysis tools. Here, we present a hybrid dissociation technique, EThcD-sceHCD, by combining electron transfer/higher-energy collisional dissociation (EThcD) and stepped collision energy/higher-energy collisional dissociation (sceHCD) into a sequential glycoproteomic workflow. Following this scheme, we characterized site-specific N/O-glycosylation of the human immunodeficiency virus type 1 (HIV-1) Env protein gp120. The EThcD-sceHCD method increased the number of identified glycopeptides when compared with EThcD, while producing more comprehensive fragment ions than sceHCD for site-specific glycosylation analysis, especially for accurate O-glycosite assignment. Finally, eighteen N-glycosites and five O-glycosites with attached glycans were assigned unambiguously from heavily glycosylated gp120. These results indicate that our workflow can achieve improved performance for analysis of the N/O-glycosylation of a highly glycosylated protein containing numerous potential glycosites in one process. Knowledge of the glycosylation landscape of the Env glycoprotein will be useful for understanding of HIV-1 infection and development of vaccines and drugs.

Even though antibiotics agents are widely used, pneumonia is still one of the most common causes of death around the world. Some severe, fast-spreading pneumonia can even cause huge influence on global economy and life security. In order to give optimal medication regimens and prevent infectious pneumonia's spreading, recognition of pathogens is important.In this single-institution retrospective study, 2,353 patients with their CT volumes are included, each of whom was infected by one of 12 known kinds of pathogens. We propose Deep Diagnostic Agent Forest (DDAF) to recognize the pathogen of a patient based on ones' CT volume, which is a challenging multiclass classification problem, with large intraclass variations and small interclass variations and very imbalanced data.The model achieves 0.899 ± 0.004 multi-way area under curves of receiver (AUC) for level-I pathogen recognition, which are five rough groups of pathogens, and 0.851 ± 0.003 AUC for level-II recognition, which are 12 fine-level pathogens. The model also outperforms the average result of seven human readers in level-I recognition and outperforms all readers in level-II recognition, who can only reach an average result of 7.71 ± 4.10% accuracy.Deep learning model can help in recognition pathogens using CTs only, which might help accelerate the process of etiological diagnosis.

This letter proposes a synthetic aperture radar (SAR) target recognition method via joint classification of deep features fused by multi-canonical correlation analysis (MCCA). A convolutional neural network (CNN) is designed for feature learning from original SAR images. For the multiple feature maps from different convolution layers, they are fused based on the MCCA to maintain the relevance while eliminating the redundancy. Afterwards, the joint sparse representation (JSR) is employed to jointly represent the fused deep feature vectors from different convolution layers under the constraint of their inner correlations. Based on the reconstruction errors from JSR, the target label can be classified. The proposed method can make full use of the multi-level deep features by using the correlations among the same layer and between different layers. Experiments are investigated on the Moving and Stationary Target Acquisition and Recognition (MSTAR) data set and the results confirm the performance of th...

The understanding of ion solvation phenomena is of significance due to their influences on many important chemical, biological, and environmental processes. Mass spectrometry (MS)-based methods have been used to investigate this topic with molecular insights. As ion-solvent interactions are weak, ionization processes should be as soft as possible in order to retain solvation structures. An in situ liquid secondary ion MS (SIMS) approach developed in our group has been recently utilized in investigations of Li ion solvation in nonaqueous solution, and it detected a series of solvated Li ions. As traditionally SIMS has long been recognized as a hard ionization process with strong damage occurring at the sputtering interface, it is very interesting to study further how soft in situ liquid SIMS can be. In this work, we used halide ion hydration as an example to compare the ionization performance of the in situ liquid SIMS approach with regular electrospray ionization MS (ESI-MS). Results show that, although ESI has been recognized as a soft ionization method, nearly no solvated halide ions were detected by ESI-MS analysis, which acquired only strong signals of salt ion clusters. In contrast, in liquid SIMS spectra, a series of obvious hydrated halide ion compositions could be observed. We further evaluated the hydration numbers of halide ions and revealed the effects of the ion size, charge density, and polarizability on the hydration phenomenon. Our findings demonstrated that the in situ liquid SIMS approach is surprisingly soft, and it is expected to have very broad applications on investigation of various ion-solvent interactions and many other interesting chemical processes (e.g., the initial nucleation of nanoparticle formation) in liquid environment.

Image enhancement is a very important process of image preprocessing and it plays a critical role in the improvement of image quality and the follow-up image analysis, which makes the research of image enhancement algorithm a hot research field. Image enhancement not only needs to strengthen image determination and recognition, but also needs to avoid the consequential color distortion. Pseudo-color enhancement is the technique to map different gray scales of a black-and-white image into a color image. As humans have extremely strong ability in distinguishing different colors visually and relatively weak capacity in discriminating gray scales, so, color the gray-scale changes which cannot be differentiated by human eyes so that they can tell them apart. The mapping function in conventional gray-scale transform method is not working well in dark and low-contrast images. So, this paper comes up with an improved gray-scale transformation algorithm. This algorithm can achieve the enhancement, preserve the image colors, process dark and low-contrast images, reinforce the enhancement and improve the blocking effect. The experiment proves that the enhanced image obtained by the method of this paper can have improved average brightness, natural colors and more detail information and it has good application value.

As an important part of social innovation, green product innovation (GPI) is widely regarded as a beneficial strategy for firms to achieve sustainable success. While the way to effectively leverage GPI has not been fully invested. To address this lack, this study examines the antecedent role of inter-organizational control mechanism by investigating the nature of the interplay between formal control and social control in relation to green supply chain collaboration. In addition, we probe the impact of GPI on firm triple bottom line due to the inconsistent results in existing literature. Based on a sample of 239 senior managers and directors in the Chinese manufacturing industry, we test the hypotheses through moderated structural equations modelling. The results show that formal control and social control should be applied as complements in promoting GPI, while only working on Moreover, enhance the awareness and adoption of GPI stimulates better environmental performance and social performance as a result. The relationship between GPI and financial performance is mediated by both environmental and social performance. Our findings will help B2B participants understand the GPI and potential sustainable, social and economic outcomes, and support them formulate more effective control mechanism strategies.

Background The indirect antiglobulin test (IAT) and direct antiglobulin test (DAT) have been used as common tests for transfusion. Recently, we have found that in addition to causing false increases, rheumatoid factor (RF) can also cause false decreases in immunoassays for hepatitis B surface antigen and B-type natriuretic peptide. However, it remains unclear whether RF also interferes with the IAT and DAT. Methods IAT models were produced by mixing IAT-positive plasma and RF-positive plasma, then one-step and two-step IATs were adopted for detection. DAT models were produced by mixing DAT-positive red blood cells (RBCs) and RF-positive plasma, followed by detection with the DAT. The DAT models were diluted using the same RF-positive plasma, and the DAT was performed again. Results The rate of decrease of the two-step IAT (40.63%) was significantly higher than that of the one-step IAT (31.51%). Both the rate of decrease (76.67%) and increase (16.67%) of the results of the 60 DAT models were significantly higher than those of the IAT models after two-fold dilution. Conclusions The RF can lead to both false decreases and false increases in IAT and DAT. And the interference effects are related to the RF content relative to the IgG-sensitized RBCs.

OBJECTIVE: To explore the clinical features of cephalic and facial limited langerhans cell histiocytosis (LCH) in children for improving its diagnosis and treatment. METHODS: Clinical data of 8 children with cephalic and facial limited LCH were retrospectively analyzed, including the onset time of disease, lesion location, imaging data, clinical manifestations and treatment strategies. RESULTS: One case was preliminarily diagnosed as chronic inflammation with nasal back lesions, then conformed by repeated surgical pathology. Six cases were found to have simple cephalic and facial lumps without pain and swelling. One case was found to have temporal lump with suppurate in the lateral auditory canal. Five cases were treated with surgical excision of lesions. Three cases were treated with surgical excision of lesions, and continued with chemotherapy after confirmed pathological diagnosis. All cases were followed up for 2-3 years with good prognosis. CONCLUSION: Cephalic and facial limited LCH in children was easy to be misdiagnosed and should be regarded as an important differential diagnosis of cephalic and facial lumps. Good outcome is achieved by treatment with surgical resection combined with adjuvant chemotherapy.

This study scrutinises the mechanism between uncertainty factors and supply chain quality risk (SCQR), and to examine the moderating role of supply market thinness (SMT). Drawing on agency theory and resource dependency theory, a conceptual model for the SCQR is proposed. Based on the survey data obtained from 202 managers, we use the structural equation modelling method to test our conceptual model, and the multiple group method to conduct the moderating analysis. We find that the uncertainty factors are associated with managers' perceptions of the probability and magnitude of SCQR. Moderation analysis show that the impacts of technology uncertainty and traceability uncertainty on probability of SCQR, and the impacts of technology uncertainty, testability uncertainty and product complexity on magnitude of SCQR, are moderated by SMT. The validated model provides practitioners with the direction to scrutinise the nature of SCQR, in order to establish effective practical approaches to manage it.

Background In multiple primary lung adenocarcinomas (MPLAs), the relationship between imaging and gene mutations remains unclear. This retrospective study aimed to identify the correlation of epidermal growth factor receptor (EGFR) mutations and anaplastic lymphoma kinase (ALK) status with CT characteristics in MPLA patients. Methods Sixty-seven patients (135 lesions) with MPLAs confirmed by pathology were selected from our institution. All subjects were tested for EGFR mutations and ALK status and underwent chest CT prior to any treatment. The criteria for MPLA definitions closely adhered to the comprehensive histologic assessment (CHA). Results Among MPLA patients, EGFR mutations were more common in females (p = 0.002), in those who had never smoked (p = 0.010), and in those with less lymph node metastasis (p p = 0.003), especially mixed GGO (p p = 0.012). Logistics regression analysis showed that GGO (OR = 6.550, p = 0.010) was correlated with EGFR mutation, while air bronchograms were not correlated with EGFR mutation (OR = 3.527, p = 0.060). A receiver operating characteristic (ROC) curve yielded area under the curve (AUC) values of 0.647 and 0.712 for clinical-only or combined CT features, respectively, for prediction of EGFR mutations, and a significant difference was found between them (p = 0.0344). ALK-positive status was found most frequently in MPLA patients who were younger (p = 0.002) and had never smoked (p = 0.010). ALK positivity was associated with solid nodules or masses in MPLAs (p p = 0.010) were an independent factor predicting ALK positivity in MPLAs. For prediction of ALK positivity, the ROC curve yielded AUC values of 0.767 and 0.804 for clinical-only or combined CT features, respectively, but no significant difference was found between them (p = 0.2267). Conclusion Among MPLA patients, nonsmoking women with less lymph node metastasis and patients with lesions presenting GGO or mixed GGO and air bronchograms on CT were more likely to exhibit EGFR mutations. In nonsmoking patients, young patients with solid lesions on CT are recommended to undergo an ALK status test.

The photochemical products of dinucleotides 5'-TpG/5'-GpT with a photoactivatable anticancer Pt(IV) complex (trans,trans,trans-[Pt(N3)2(OH)2(py)2], py = pyridine; 1) were characterized by electrospray ionization mass spectrometry. The primary MS showed the main products were monoplatinated and diplatinated adducts for both the dinucleotides accompanied by the formation of minor triplatinated dinucleotides, indicating that T-N3 and G-N1 may be platination sites additional to the well-known G-N7 site. Surprisingly, a series of minor platinated adducts with oxidation of guanine and/or thymine were observed. Although guanine is more sensitive to oxidation than thymine, thymine can compete with guanine for complex 1-induced oxidation, of which the oxidation adducts were identified as cis- and trans-diastereomers of 5,6-dihydroxy-5,6-dihydrothymidine (cis,trans-ThdGly), 5-formyl-2'-deoxyuridine (5-FormdUrd), and 5-(hydroxymethyl)-2'-deoxyuridine (5-HMdUrd), respectively. While for guanine, apart from 8-hydroxyguanine (8-OH-G) and N-formylamidoiminohydantoin (RedSp), other guanine oxidized adducts such as spiroiminodihydantoin (Sp), dehydroguanidinohydantoin (DGh), and 2,6-diamino-4-hydroxy-5-formamidopyrimidine (FapyG) were also identified. MS/MS analysis showed that unique fragments with a Pt moiety [Pt(N3)(py)] cross-linking the G and T bases were formed during the fragmentation of monoplatinated dinucleotides. Such binding mode to and oxidative damages on DNA bases imposed by the diazido Pt(IV) complex are apparently distinct from those of cisplatin, perhaps accounting for its unique mechanism of action.

Background Many patients with coronavirus disease 2019 (COVID-19) suffer multiple organ dysfunctions. However, whether patients develop dyslipidemia is unknown. Objective In this study, we aimed to investigate the pathological alterations of low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), and total cholesterol (TC) in COVID-19 patients and their relationships with the disease severity. Methods A retrospective study was performed to examine serum levels of LDL-c, HDL-c, and TC on 597 COVID-19 patients (mild: 394; severe, 171; critical: 32) who were hospitalized in our center between February 1 and March 3, 2020. Age and gender-matched normal subjects (n=50) who had routine laboratory lipid tests between October 1 and November 1, 2019 in our center were included as the control group. Results LDL-c and TC levels were significantly lower in COVID-19 patients as compared with normal subjects (p, Highlights • SARS-COV-2 causes multiple types of pathophysiologies including hypolipidemia • Decrease in LDL-c is observed as early as in patients with mild symptoms • Hypolipidemia positively correlates with the disease severity in patients • Hypolipidemia raises awareness to frontline physicians against this pandemic

Platinum(II) terpyridine complexes has attracted increasing attention as they have displayed great potential as antitumor agents due to their high intercalation affinity with nucleic acids. Epidermal growth factor receptor (EGFR) is often overexpressed in various tumor cells, leading to uncontrolled growth of tumor, and is regarded as an important target for developing novel antitumor drugs. Herein, we report four platinum(II) terpyridine complexes bearing EGFR inhibiting 4-anilinoquinazoline derivatives as potent multi-targeting antiproliferation agents against a series of cancer cells. EGFR inhibition assay revealed that these complexes are highly potent EGFR inhibitors. But competitive DNA binding assay and docking simulations also suggested that these complexes exhibited multiple modes of DNA interaction, especially great affinity toward DNA minor groove. Finally, cellular uptake and distribution measurements by inductively coupled plasma mass spectrometry (ICP-MS) and time-of-flight secondary ion mass spectrometry (ToF-SIMS) demonstrated that both nucleus DNA and membrane proteins are important targets for their anticancer mechanisms. The complexes herein can therefore be regarded as promising multi-targeting anticancer agents.

OBJECTIVE: Explore the clinical features of cervical lymph node lesions in children with different pathological types, and provide help for the early diagnosis of the disease. METHOD: The data of 73 children with cervical lymph node disease diagnosed by lymph node biopsy were collected, and the gender composition, age distribution, lymph node characteristics and clinical manifestations of children with different pathological types were analyzed. RESULT: Among the 73 children with cervical lymph node disease, the incidence of male patients in the benign disease group was less than that of female ones, and the incidence of male patients in the malignant disease group was greater than that of female ones, the difference in gender composition between the two groups was statistically significant(P < 0.05). The benign disease group had the largest proportion in the school-age period(27.4%), and the malignant disease group had a larger proportion in the preschool period(21.9%) and school-age period(20.5%), both groups had a relatively smaller proportion in the infant and adolescent period, the difference in age distribution within the group was statistically significant(P < 0.01). Among the various pathological types, the proportion of 73 children with lymph node inflammatory reactive hyperplasia was the largest, 35.6%(26/73), and was mainly at school age; the second was Hodgkin's lymphoma, accounting for 20.5%(15/73), mainly in the preschool and school age. The average maximum transverse diameter of lymph nodes in the malignant disease group was greater than that in the benign disease group(P < 0.05). The lymph nodes in the benign disease group were mainly distributed in areas Ⅰ, Ⅱ, and Ⅲ, and the lymph nodes in the malignant disease group were mainly distributed in areas Ⅱ, Ⅲ, Ⅳ, and Ⅴ, there was a statistically significant difference in the distribution of enlarged lymph nodes between the two groups(P < 0.01). CONCLUSION: Different pathological types of cervical lymph node lesions in children are different in gender composition, age distribution, lymph node size and distribution, and cervical lymph node lesions in children have their own characteristics.

Background Systolic dysfunction of the left ventricle is frequently associated with isolated left ventricular non-compaction (iLVNC). Clinically, the ejection fraction (EF) is the primary index of cardiac function. However, changes of EF usually occur later in the disease course. Feature tracking (FT) and deformable registration algorithm (DRA) have become appealing techniques for myocardial strain assessment. Methods Thirty patients with iLVNC (36.7 ± 13.3 years old) and fifty healthy volunteers (42.3 ± 13.6 years old) underwent cardiovascular magnetic resonance (CMR) examination on a 1.5 T MR scanner. Strain values in the radial, circumferential, longitudinal directions were analyzed based on the short-axis and long-axis cine images using FT and DRA methods. The iLVNC patients were further divided based on the ejection fraction, into EF ≥ 50% group (n = 11) and EF n = 19). Receiver-operating-characteristic (ROC) analysis was performed to assess the diagnostic performance of the global strain values. Intraclass correlation coefficient (ICC) analysis was used to evaluate the intra- and inter-observer agreement. Results Global radial strain (GRS) was statistically lower in EF ≥ 50% group compared with control group [GRS (DRA)/% vs. controls: 34.6 ± 7.0 vs. 37.6 ± 7.2, P P Conclusions In patients with iLVNC, DRA can be used to quantitatively analyze the strain of left ventricle, with global radial strain being an earlier marker of LV systolic dysfunction. DRA has better reproducibility in evaluating both the global and segmental strain.

Objective: The objective was to evaluate the normal value of left ventricular myocardial strain using the computed tomography feature-tracking technique and to explore the correlation between myocardial strains and cardiac function parameters. Methods: Participants suspected of coronary heart disease were selected from 17 August 2020 to 5 November 2020 to undergo coronary computed tomography angiography using a third-generation dual-source CT scanner. Data were imported into a commercial software (Medis) after multiphase reconstruction. The cardiac function parameters, radial (Err), circumferential (Ecc), and longitudinal strain (Ell) of the left ventricle were recorded. Results: A total of 87 normal subjects were enrolled, including 41 males and 46 females. For healthy subjects, the global radial strain (GRS), circumferential strain (GCS), and longitudinal strain (GLS) of the left ventricle were 74.5 ± 15.2%, −22.7 ± 3.0%, and −26.6 ± 3.2%, respectively. The Err and Ecc absolute values (|Ecc|) were the largest at the apex, and the |Ell| gradually increased from the base to the apex. The Err and |Ecc| were the largest in the lateral and inferior wall, respectively. |Ell| showed a clockwise decrease from the lateral wall in the short axis. Meanwhile, the GRS and |GLS| in females were higher than that in males. Multiple linear regression analysis showed that both SV and LVEF were the independent determinants of GRS, GCS, and GLS. BMI and CO were the independent determined factors of GCS. Conclusions: At a reasonable radiation dose, CT feature-tracking is a feasible and reproducible method to analyze left ventricular myocardial strain. Left ventricular myocardial strain in normal subjects varies in gender, segments, levels, and regions.

DNA G-quadruplexes are not only attractive drug targets for cancer therapeutics, but also have important applications in supramolecular assembly. Here, we report a platinum(II)-based tripod (Pt-tripod) specifically binds the biological relevant hybrid-1 human telomeric G-quadruplex (Tel26), and strongly inhibits telomerase activity. Further investigations illustrate Pt-tripod induces the formation of monomeric and multimeric Pt-tripod‒Tel26 complex structures in solution. We solve the 1:1 and the unique dimeric 4:2 Pt-tripod–Tel26 complex structures by NMR. The structures indicate preferential binding of Pt-tripod to the 5ʹ-end of Tel26 at a low Pt-tripod/Tel26 ratio of 0–1.0. After adding more Pt-tripod, the Pt-tripod binds the 3ʹ-end of Tel26, unexpectedly inducing a unique dimeric 4:2 structure interlocked by an A:A non-canonical pair at the 3ʹ-end. Our structures provide a structural basis for understanding the dynamic binding of small molecules with G-quadruplex and DNA damage mechanisms, and insights into the recognition and assembly of higher-order G-quadruplexes., DNA G-quadruplexes occur in oncologically relevant regions, thus are interesting targets for cancer research and treatment. Here, the authors solved the 1:1 and 4:2 (ligand/DNA) NMR structures of human telomeric DNA in complex with platinum(II)-tripod ligand and show that the binding is dynamic.

A new proteomic strategy combining functionalized magnetic nanoparticle affinity probes with mass spectrometry was developed to capture and identify proteins specifically responding to 1,2-d(GpG) intrastrand cisplatin-cross-linked DNA, the major DNA lesion caused by cisplatin and thought to induce apoptosis. A 16-mer oligodeoxynucleotide (ODN) duplex and its cisplatin-cross-linked adduct were immobilized on magnetic nanoparticles via click reaction, respectively, to fabricate negative and positive affinity probes which were very stable in cellular protein extracts due to the excellent bio-orthogonality of click chemistry and the inertness of covalent triazole linker. Quantitative mass spectrometry results unambiguously revealed the predominant binding of HMGB1 and HMGB2, the well-established specific binders of 1,2-cisplatin-cross-linked DNA, to the cisplatin-cross-linked ODN, thus validating the accuracy and reliability of our strategy. Furthermore, 5 RNA or single-stranded DNA binding proteins, namely, hnRNP A/B, RRP44, RL30, RL13, and NCL, were demonstrated to recognize specifically the cisplatinated ODN, indicating the significantly unwound ODN duplex by cisplatin cross-linking. In contrast, the binding of a transcription factor TFIIFa to DNA was retarded due to cisplatin damage, implying that the cisplatin lesion stalls DNA transcription. These findings promote understanding in the cellular responses to cisplatin-damaged DNA and inspire further precise elucidation of the action mechanism of cisplatin.

An efficient palladium-catalyzed Suzuki coupling of 1,1-diarylmethyl-trimethylammonium triflates with arylboronic acids is reported. This reaction offers a novel approach to triarylmethane derivatives in good to excellent yields with the palladium-catalyzed C–N bond cleavage as the key feature. Broad substrate scope regarding both reaction partners are observed. Moreover, reactive functional groups such as vinyl and formyl groups are conserved in this transformation.

Rationale Human telomeric DNA is reported to be a potential target for anticancer organometallic ruthenium(II) complexes, however, the interaction sites were not clearly discriminated and identified. Methods In the current study, tandem mass spectrometry (MS/MS) using collision-induced dissociation (CID) was firstly introduced to identify the interaction sites of an organometallic ruthenium(II) complex [(η6 -biphenyl)Ru(en)Cl][PF6 ] (1; en = ethylenediamine) with 5'-T1 T2 A3 G4 G5 G6 -3' (I), the repeating unit of human telomeric DNA, in both positive- and negative-ion mode at a low reaction molar ratio (1/I = 0.2) which was applied to preserve the site selectivity. Results Mass spectrometric results showed that mono-ruthenated I was the main product under the conditions. In positive-ion mode, MS/MS results indicated that ruthenium complex 1 binds to T2 or G6 in strand I. However, in negative-ion mode, no efficient information was obtained for exact identification of ruthenation sites which may be attributed to losses of fragment ions due to charge neutralization by the coordination of the positively charged ruthenium complex to the short MS/MS fragments. Conclusions This is the first report of using top-down MS to characterize the interactions of organometallic ruthenium(II) complexes and human telomeric DNA. Thymine can be thermodynamically competitive with guanine for binding to ruthenium complexes even at low reaction molar ratio, which inspired us to explore in greater depth the significance of thymine binding.

Organometallic ruthenium(II) complexes [(&eta, 6-arene)Ru(en)Cl][PF6] (arene = benzene (1), p-cymene (2), indane (3), and biphenyl (4), en = ethylenediamine) are promising anticancer drug candidates both in vitro and in vivo. In this paper, the interactions between ruthenium(II) complexes and 15-mer single- and double-stranded oligodeoxynucleotides (ODNs) were thermodynamically investigated using high performance liquid chromatography (HPLC) and electrospray ionization mass spectroscopy (ESI-MS). All of the complexes bind preferentially to G8 on the single strand 5&prime, CTCTCTT7G8T9CTTCTC-3&prime, (I), with complex 4 containing the most hydrophobic ligand as the most reactive one. To the analogs of I (changing T7 and/or T9 to A and/or C), complex 4 shows a decreasing affinity to the G8 site in the following order: -AG8T- (K: 5.74 &times, 104 M&minus, 1) &gt, CG8C- &gt, TG8A- &gt, AG8A- &gt, AG8C- &gt, TG8T- (I) &asymp, CG8A- (K: 2.81 &times, 1). In the complementary strand of I, the G bases in the middle region are favored for ruthenation over guanine (G) bases in the end of oligodeoxynucleotides (ODNs). These results indicate that both the flanking bases (or base sequences) and the arene ligands play important roles in determining the binding preference, and the base- and sequence-selectivity, of ruthenium complex in binding to the ODNs.

Background Cardiac magnetic resonance (CMR) T1 mapping and tissue-tracking strain analysis are useful quantitative techniques that can characterize myocardial tissue and mechanical alterations, respectively, in patients with early diabetic cardiomyopathy. The purpose of this study was to assess the left ventricular myocardial T1 value, extracellular volume fraction (ECV), and systolic strain in asymptomatic patients with type 2 diabetes mellitus (T2DM) and their underlying relationships with clinical parameters. Methods We recruited 50 T2DM patients (mean age: 55 ± 7 years; 28 males) and 32 sex-, age-and BMI-matched healthy volunteers to undergo contrast-enhanced CMR examinations. The myocardial native T1, post-contrast T1 and ECV values of the left ventricle were measured from T1 and ECV maps acquired using the modified Look-Locker inversion recovery technique. The left ventricular global systolic strain and the strain rates were evaluated using routine cine images and tissue-tracking analysis software. The baseline clinical and biochemical indices were collected before the CMR examination. Results The myocardial ECV and native T1 values were significantly higher in the diabetic patients than in the controls. (ECV: 27.4 ± 2.5% vs. 24.6 ± 2.2%, p

Recently, in China, the issue of poor quality construction has drawn much public attention. This problem is related not only to poor quality control on the part of the construction firm, but also to the use of inadequate materials and inexperienced subcontractors, that is, to poor quality assurance in the construction supply chain. The purpose of this article is to examine supply chain quality management (SCQM) in the construction industry. Using a case-study approach, this research focuses on a Chinese medium-sized private enterprise in order to determine the most efficient way to conduct a high-quality project when collaborating with material suppliers and subcontractors. To this end, we replicate and extend the SCQM practices to help develop a more refined SCQM conceptual model relevant to the construction industry. Based on the different perspectives of managers and engineers, two frameworks are presented to illustrate (1) the correlation between SCQM and purchasing function (PF), and (2) how to work with material suppliers and subcontractors; the proposed models also show how these aspects will influence and control the quality of projects. Although constrained by the limitations inherent in case-study methodology, this article consolidates the work in one particular area of supply chain management. It also succeeds in meeting two core challenges, namely to explicate the interaction between SCQM and PF, and to provide guidance to construction firms on how to deal with SCQM issues with material suppliers and subcontractors.

Objective To analyze the findings of aortic floating thrombus (AFT) on computed tomography angiography (CTA) for a definitive, timely diagnosis and to select a reasonable management course to improve prognosis. Method We retrospectively analyzed imaging findings of 5 patients with AFT detected by CTA, including location, morphology, size, involved aortic segment, concomitant embolism, stent, and dynamic changes during the follow-up. Results Seven lesions were detected in the initial CTA studies of the 5 patients: 5 aortic intraluminal floating thrombi (3 patients) and 2 aortic in-stents floating thrombi (ASFTs; 2 patients). One aortic intraluminal floating thrombus was located in the right anterior wall of the ascending aorta and 2 in the aortic isthmus. Interval increasing in size of the splenic embolism and a new renal segmental artery embolism were noted in 1 patient after 7 days anticoagulation therapy. One ASFT was located in the original narrowing part of the aortic stent and another in the overlap of the stents. During the follow-up, some lesions disappeared, whereas the morphology and size varied in others. Four new ASFTs occurred. All the lesions were attached to the focal thickened inner walls of the stents with the free-floating portions along the direction of blood flow. Conclusions AFT is a rare, life-threatening disease. Abnormal coagulation function, aortic disease, and history of aortic stent implantation are the potential predictors for AFT. CTA scanning can depict the lesions clearly and evaluate curative efficacy. The therapeutic strategy should be based on the etiology and the patient's physical condition, whereas the preferred treatment is conservative medication.

This paper presents a support vector machine (SVM) model structure, the genetic algorithm parameters of the model portfolio optimization model, and used for non-linear pattern recognition, the method is not only effective for linear problems, nonlinear problems apply effective; the law simple and easy, better than the multi-segment linear classifier design methods and BP network algorithm returns the error. Examples show the efficiency of its recognition of 100%. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6692

In order to solve the shortage of the access control method based on role and credit, a novel dynamic credit and role based access control method is proposed. The method controls an entity’s access behavior through its credit value, and introduces penalty and feedback mechanism to dynamically adjust entity’s credit value. In order to manage an amount of entities effectively, entities with different credit values are divided into different roles in system, and roles are assigned to corresponding privileges respectively. Experimental simulation results showed that the proposed method has good controllability of entity’s credit value and manipulability to protect system’s resources.

Despite the immense potential of Peer-to-Peer (P2P) networks in facilitating collaborative applications, they are generally considered to be free havens for pirated multimedia content. Ensuring the proper distribution and usage of multimedia content in P2P networks has become increasingly critical. Encryption can provide multimedia contents with the desired security during transmission, which disappears after they are decrypted. Digital fingerprinting is an emerging technology to protect multimedia data from illegal redistribution, where each distributed copy is labeled with unique identification information. In this paper, we propose a fingerprinting scheme for copyright protection of P2P systems, where each user gets a slightly different version of the same content.

In the collection, transmission, decoding process, the images are likely to produce noise. Noise makes the image color distorted and the articulation dropped, and also affects the image quality. Due to different causes, there are different types of noise, and the impulse noise is most common among them which exert great influence on the image quality. This paper, according to the characteristics of the color image, combines the ant colony algorithm and weighted vector median filter method to put forward an algorithm for the impulse noise removal and the color image enhancement. This method finds the optimal filter bank parameter by ant colony optimization (ACO) and processes image points polluted by the noise to achieve the purpose of image enhancement and protect the image details and edge information. Simulation experiment proves the correctness and validity of this method.