Superhydrophobic Nanoparticles: An Efficiently Selective Adsorbent for Surfactant-Like Contaminants from Complex Wastewater Matrices.

Surfactant-like contaminants (SLCs) with distinctive amphiphilic structures have become a global concern in wastewater due to their toxicity and persistency. Despite extensive efforts, achieving efficient and selective SLCs removal remains challenging because of their wide range of molecular weights and complex functional group compositions. Superhydrophobic nanoparticles can potentially tackle this challenge by targeting the long oleophilic chains of SLCs. However, conventional contact angle measurements hinder hydrophobicity characterization and corresponding selectivity research because of the powder morphology of nanoparticles. Herein, the authors offered information regarding the distribution of water molecular probes in surfaces and proposed a quantitative characterization approach based on low-field nuclear magnetic resonance. Through synthesizing superhydrophobic and hydrophilic polydopamine nanospheres with similar morphologies, the selective adsorption potential of superhydrophobic nanoparticles for SLCs is systematically demonstrated. As revealed by the interaction mechanisms, the superhydrophobic surface of nanospheres increased its affinity and selectivity for SLCs adsorption by enhancing hydrophobic interactions. Superhydrophobic modification achieved ten times the adsorption capacity of sodium dodecyl benzene sulfonate, an exemplified surfactant, compared with pristine nanoparticles. By regulated self-polymerization, the superhydrophobic nanospheres are coated onto the surface of a 3D sponge and enable efficient selective SLCs adsorption from highly polluted leachate matrices with long-term stability and reusability.

Markers of brain injury in patients with aneurysmal subarachnoid hemorrhage.

AIM: To investigate the correlation of serum changes and markers of brain injury (BI) in cerebrospinal fluid (CSF) with postoperative cognitive dysfunction (POCD) in patients with cerebral aneurysmal subarachnoid haemorrhage (aSAH). METHODS: 120 patients diagnosed with aSAH were included. 3 months after surgery, these patients were divided into a normal cognition group and a cognitive dysfunction (CD) group relying on the Montreal Cognitive Assessment (MoCA) Scale. RESULTS: The correlations were analysed between the serological changes and the levels of BI markers, such as neurofilament-light (NF-L) protein, Ubisquitin C-terminal hydrolase L1(UCH-L1), Glial Fibrillary Acidic Protein (GFAP), and neuron specific enolase (NSE) in patients after surgery. Hunt-Hess grading standard was employed to determine the severity of aSAH in patients. The mean values of NF-L, UCH-L1, GFAP, and NSE were (8.2 ± 4.3) pg/mL, (0.7 ± 0.3) ng/mL, (2.2 ± 0.4) ng/mL, and (48.5 ± 10.9) ng/mL in patients with severe aSAH, which were remarkably higher than those in patients with mild aSAH [(3.5 ± 0.7) pg/mL, (0.5 ± 0.2) ng/mL, (1.3 ± 0.7) ng/mL, (30.7 ± 8.2) ng/mL]. The sensitivity, specificity, and accuracy of the combined prediction of four detections for POCD were 90.80%, 84.20%, and 82.80%, respectively, which were greatly higher than those of four independent predictions (p < 0.05). The combined prediction effect of the four items, with the area under the curve (AUC) of 0.938 and the 95% confidence interval (CI) of 0.851-0.926. CONCLUSIONS: BI markers NF-L, UCH-L1, GFAP, and NSE could be utilized as predictors of POCD in patients with aSAH, deserving a reference value.

A Retrospective Analysis of the Efficacy of Endoscopic Variceal Ligation versus Endoscopic Tissue Adhesive Injection in the Treatment of Esophagogastric Variceal Bleeding.

BACKGROUND: The aim of the study was to investigate the effectiveness and safety of endoscopic variceal ligation (EVL) and endoscopic tissue adhesive injection (TAI) in the treatment of esophagogastric variceal bleeding (EVB). METHODS: A total of 245 patients with EVB who attended the First Affiliated Hospital of Bengbu Medical College from December 2017 to June 2021 were retrospectively collected. The participants were divided into the esophageal EVL (E-EVL) + gastric EVL (G-EVL) group (n = 103) and E-EVL + gastric TAI (G-TAI) group (n = 142), according to the procedure, comparing and assessing the clinical characteristics, laboratory results, operation time, rebleeding rate, efficacy, and complications. RESULTS: The E-EVL + G-EVL group had significantly less varicose vein diameter and operative time than the E-EVL + G-TAI group (p < 0.05). No statistical difference in the length of hospital stay between the two groups was noted (p > 0.05). The total rebleeding rate in the E-EVL + G-EVL group was 9.7%, whereas that of the E-EVL + G-TAI group was 11.9%; no statistical difference between the two groups was noted (p > 0.05). The overall effective rate of the E-EVL + G-EVL group was 90.21%, whereas that of the E-EVL + G-TAI group was 92.81%; no statistical difference between the two groups was observed (p > 0.05). The postoperative ulcer in the E-EVL + G-EVL group was smaller and more superficial than that in the E-EVL + G-TAI group, and the wound surface was smoother. CONCLUSION: Both EVL and TAI have good therapeutic effects on EVB. Furthermore, owing to its effectiveness in preventing rebleeding, no reduction in efficacy and no increase in complications, shortened operative time, smaller and superficial ulcer, and smoother wounds, gastric EVL is worthy of further clinical promotion.

Collagen-related gene expression level predicts the prognosis and immune therapy response.

BACKGROUND: Gastric cancer patients responded differently to the same treatment strategy and had various prognoses for the lack of biomarkers to guide the therapy choice. METHODS: RNA data of a local gastric cancer cohort with 103 patients were processed and used to explore potential treatment guiding factors. Cluster analysis was performed by non-negative matrix factorization. The expression level of collagen-related genes was evaluated by ssGSEA named collagen score (CS). Data from TCGA, ACRG, and an immune therapy cohort were utilized to explore prognosis and efficacy. Prognostic predictive power of CS was assessed using the nomogram. RESULTS: In our study, local RNA data were processed by cluster analysis, and it was found that cluster 2 contained a worse tumor infiltration status. The GSEA result showed that collagen-related pathways were differentially activated in two clusters. In TCGA and ACRG cohorts, the CS can be used as an independent prognostic factor (TCGA OS: p = 0.018, HR = 3.5; ACRG OS: p = 0.014, HR = 4.88). An immunotherapy cohort showed that the patients with higher CS had a significantly worse ORR (p = 0.0025). The high CS group contained several cell death pathways down-regulated and contained the worse tumor microenvironment. The nomogram demonstrated the survival prediction capability of collagen score. CONCLUSION: CS was verified as an independent prognostic factor and potentially reflected the therapeutic effect of immunotherapy. The CS could provide a new way to evaluate the clinical prognosis and response information helping develop the collagen-targeted treatment.

Selection of Automated Platelet Counting Methods Based on Mean Platelet Volume (MPV).

BACKGROUND: Impedance-based detection and optic detection with fluorescence are common platelet counting methods used by modern hematology analyzers. There are few studies to compare the accuracy of platelet counts using these methods in case of increased MPV. METHODS: Sixty patients with immune-related thrombocytopenia (IRTP) and 60 healthy controls were included. Platelet counts were obtained by BC-6900 analyzer using impedance detection (PLT-I) and optic detection with fluorescence (PLT-O). Flow cytometry was used as the reference (FCM-ref). RESULTS: The platelet counts in patients using PLT-I were significantly lower than those using PLT-O or FCM-ref by an average of 13.3%. The platelet counts by PLT-O compared to FCM-ref were not statistically significant. MPV inversely affected the platelet counts. When MPV was < 13 fL, platelet counts by all three methods were not statistically different. When MPV was ≥ 13 fL, platelet counts by PLT-I were significantly lower (-15.8%) than those by PLT-O or FCM-ref. Furthermore, when MPV was ≥ 15 fL, platelet counts using PLT-I were further decreased (-23.6%) compared to the counts obtained by PLT-O or FCM-ref. CONCLUSIONS: The platelet counts by PLT-O in patients with IRTP is as accurate as by FCM-ref. When MPV is < 13 fL, platelet counts by all three methods are comparable. However, when MPV is ≥ 13 fL, platelet counts by PLT-I can erroneously decrease by as many as 23.6%. Therefore, in case of IRTP, or any cases when MPV ≥ 13 fL, platelet counts obtained by PLT-I method should be carefully checked by other methods, such as PLT-O to ensure a more accurate platelet count.

Machine learning: Next promising trend for microplastics study.

Microplastics (MPs), as an emerging pollutant, pose a significant threat to humans and ecosystems. However, traditional MPs characterization methods are limited by sample requirements and characterization time. Machine Learning (ML) has emerged as a vital technology for analyzing MPs pollution due to its accuracy, broad application, and powerful feature extraction. Nevertheless, environmental scientists require threshold knowledge before using ML, restricting the ML application in MPs research. Furthermore, imbalanced development of ML in MPs research is a pressing concern. In order to achieve a wide ML application in MPs research, in this review, we comprehensively discussed the size and sources of MPs datasets in relevant literature to help environmental scientists deepen their understanding of the construction of MPs datasets. Commonly used ML algorithms are analyzed from the perspective of interpretability and the need for computer facilities. Additionally, methods for improving and evaluating ML model performance, such as dataset pre-processing, model optimization, and model assessment metrics, are discussed. According to datasets and characterization techniques, MPs identification using ML was divided into three categories in this work: spectral identification, image identification, and spectral imaging identification. Finally, other applications of ML in MPs studies, including toxicity analysis, pollutants adsorption, and microbial colonization, are comprehensively discussed, which reveals the great application potential of ML. Based on the discussion above, this review suggests an algorithm selection strategy to assist researchers in selecting the most suitable ML algorithm in different situations, improving efficiency and decreasing the costs of trial and error. We believe that this work sheds light on the application of ML in MPs study.

Predicting response of micrometastases with MIRDcell V3: proof of principle with 225Ac-DOTA encapsulating liposomes that produce different activity distributions in tumor spheroids.

PURPOSE: The spatial distribution of radiopharmaceuticals within multicellular clusters is known to have a significant effect on their biological response. Most therapeutic radiopharmaceuticals distribute nonuniformly in tissues which makes predicting responses of micrometastases challenging. The work presented here analyzes published temporally dependent nonuniform activity distributions within tumor spheroids treated with actinium-225-DOTA encapsulating liposomes (225Ac-liposomes) and uses these data in MIRDcell V3.11 to calculate absorbed dose distributions and predict biological response. The predicted responses are compared with experimental responses. METHODS: Four types of liposomes were prepared having membranes with different combinations of release (R) and adhesion (A) properties. The combinations were R-A-, R-A+, R+A-, and R+A+. These afford different penetrating properties into tissue. The liposomes were loaded with either carboxyfluorescein diacetate succinimidyl ester (CFDA-SE) or 225Ac. MDA-MB-231 spheroids were treated with the CFDA-SE-liposomes, harvested at different times, and the time-integrated CFDA-SE concentration at each radial position within the spheroid was determined. This was translated into mean 225Ac decays/cell versus radial position, uploaded to MIRDcell, and the surviving fraction of cells in spherical multicellular clusters was simulated. The MIRDcell-predicted surviving fractions were compared with experimental fractional-outgrowths of the spheroids following treatment with 225Ac-liposomes. RESULTS: The biological responses of the multicellular clusters treated with 225Ac-liposomes with physicochemical properties R+A+, R-A+, and R-A- were predicted by MIRDcell with statistically significant accuracy. The prediction for R+A- was not predicted accurately. CONCLUSION: In most instances, MIRDcell predicts responses of spheroids treated with 225Ac-liposomes that result in different tissue-penetrating profiles of the delivered radionuclides.

Insights into Adsorption of Humic Substances on Graphitic Carbon Nitride.

Graphitic carbon nitride (CN) has been widely used in environmental pollution remediation. However, the adsorption of organic compounds on CNs, which has practical significance for the environmental application of CNs, is poorly understood. For the first time, this study systematically investigated the adsorption behaviors and mechanisms of humic substances (HSs), i.e., humic acid (HA) and fulvic acid (FA), on CNs derived from four typical precursors. Intriguingly, CN derived from urea (CN-U) showed a great capacity for HS adsorption due to its porous structure and large surface area, with maximum adsorption amounts of 73.24 and 51.62 mgC/g for HA and FA, respectively. The formation, influencing factors, and relative contributions of multiple interactions to HS adsorption on CNs were thoroughly elucidated. HS adsorption on CNs was mainly mediated by electrostatic interactions, π-π interactions, and H-bonding. The dominance of electrostatic interactions resulted in HS adsorption being highly dependent on pH and ionic strength. HS components with high aromaticity and high molecular weight were preferentially adsorbed due to π-π interactions. These multiple interactions were largely affected by amino groups and tri-s-triazine units of CNs, as well as the moieties of aromatic rings and oxygen-containing groups of HSs.

Clinical Values of Platelet Parameters in Small Cell Lung Carcinoma with Pleural Effusion.

BACKGROUND: Currently, there are few studies on the correlation between platelet counts (PLT), plateletcrit (PCT), and platelet-to-lymphocyte ratio (PLR) in small cell lung carcinoma (SCLC) with and without pleural effusion. This study is to investigate their likely correlation and to evaluate the potential diagnostic or prognostic applications of these platelet parameters. METHODS: A total of 218 each of patients with primary SCLC and healthy controls were included. Hematological indicators and other clinically relevant information were collected. Comparisons of the differences between groups were applied to the independent samples t-test or the chi-squared test. ROC curve analysis was used to access the diagnostic performance of PLT, PCT, and PLR. RESULTS: Compared with healthy controls, PLT, PCT, and PLR in SCLC were significantly higher. On the other hand, mean platelet volume, lymphocytes, and hemoglobin were significantly lower. The levels of PLT, PCT, and PLR were related to malignant pleural effusion, while not related to lymph node or distant metastasis. The incidence of pleural effusion in patients with SCLC was positively correlated with the levels of PLT, PCT, and PLR. ROC curve analysis showed that PLT, PCT, and PLR were valuable markers for SCLC, and the combination of the three has higher diagnostic efficacy. CONCLUSIONS: Platelet parameters were significantly different between SCLC and controls. PLT, PCT, and PLR could be used to assess the presence of pleural effusion.

A Comparative Study on the Electrical and Piezoresistive Sensing Characteristics of GFRP and CFRP Composites with Hybridized Incorporation of Carbon Nanotubes, Graphenes, Carbon Nanofibers, and Graphite Nanoplatelets.

In this study, hybridized carbon nanomaterials (CNMs), such as carbon nanotubes (CNTs)-graphene, CNT-carbon nanofibers (CNFs), or CNT-graphite nanoplatelet (GNP) materials were embedded in glass-fiber-reinforced plastic (GFRP) or carbon-fiber-reinforced plastic (CFRP) composites to obtain electrical/piezoresistive sensing characteristics that surpass those of composites with only one type of CNM. In addition, to quantitatively assess their sensing characteristics, the materials were evaluated in terms of gauge factor, peak shift, and R-squared values. The electrical property results showed that the GFRP samples containing only CNTs or both CNTs and graphene exhibited higher electrical conductivity values than those of other composite samples. By evaluating piezoresistive sensing characteristics, the CNT-CNF GFRP composites showed the highest gauge factor values, followed by the CNT-graphene GFRP and CNT-only GFRP composites. These results are explained by the excluded volume theory. The peak shift and R-squared value results signified that the CNT-graphene GFRP composites exhibited the best sensing characteristics. Thus, the CNT-graphene GFRP composites would be the most feasible for use as FRP composite sensors.

Receptor-Interacting Protein Kinase 3 Deficiency Recruits Myeloid-Derived Suppressor Cells to Hepatocellular Carcinoma Through the Chemokine (C-X-C Motif) Ligand 1-Chemokine (C-X-C Motif) Receptor 2 Axis.

Receptor-interacting protein kinase 3 (RIP3) is the core regulator that switches cell death from apoptosis to necrosis. However, its role in tumor immunity is unknown. In this study, decreased RIP3 expression was observed in patients with hepatocellular carcinoma (HCC), which correlates with myeloid-derived suppressor cell (MDSC) accumulation. Moreover, RIP3 is a prognosis factor for patients with HCC. We further found that RIP3 knockdown results in an increase of MDSCs and a decrease of interferon gamma-positive (IFN-γ+ ) cluster of differentiation 8-positive (CD8+ ) tumor-infiltrating lymphocytes (IFN-γ+ CD8+ T cells) in hepatoma tissues, thus promoting immune escape and HCC growth in immunocompetent mice. By phosphorylating P65Ser536 and promoting phosphorylated P65Ser536 nuclear translocation, RIP3 knockdown increases the expression of chemokine (C-X-C motif) ligand 1 (CXCL1) in HCC cells. RIP3 knockdown induces MDSC recruitment through the CXCL1-chemokine (C-X-C motif) receptor 2 (CXCR2) axis. Furthermore, a CXCR2 antagonist substantially suppresses MDSC chemotaxis and HCC growth in RIP3 knockout mice. Conclusion: RIP3 deficiency is an essential factor directing MDSC homing to HCC and promoting CXCL1/CXCR2-induced MDSC chemotaxis to facilitate HCC immune escape and HCC progression; blocking the CXCL1-CXCR2 chemokine axis may provide an immunological therapeutic approach to suppress progression of RIP3 deficiency HCC.

Palbinone alleviates diabetic retinopathy in STZ-induced rats by inhibiting NLRP3 inflammatory activity.

Diabetic retinopathy (DR) is the primary cause of blindness and visual impairment in diabetes patients worldwide. However, laser and surgical therapies at DR have short-term effectiveness and cause side effects. Treatment with natural products is a reasonable alternative treatment for DR. The main objective of this investigation is to explore the efficacy of a bioactive compound such as palbinone (PB) in DR. Experimental rats were injected intraperitoneally with streptozotocin (STZ, 65 mg/kg), and these established experimental rats were treated with PB (20 mg/kg/bw) for 42 days. The observed results showed that PB considerably reduced the proinflammatory cytokine (interleukin-18 [IL-18] and IL-1ß) production as well as improved the activities of antioxidant enzymes (superoxide dismutase, catalase, and glutathione peroxidase) particularly in the retinal region of STZ-induced DR rats. In addition, PB treatment improved nuclear factor erythroid 2-related factor 2 (Nrf2) accumulation and enhanced the heme oxygenase-1 expression, and major antioxidants downregulated Nrf2 in the damaged retina. Also, the expression levels of nod-like receptor family pyrin domain containing 3 (NLRP3), cleaved-caspase-1, IL-1ß, and apoptosis-associated speck-like protein containing CARD in the retinal region were notably upregulated in STZ-induced DR, which was eliminated by PB interference. PB administration exerted efficient antioxidant activities, Nrf2 pathway activation, and inhibition of NLRP3 inflammasome. This current investigation concluded that PB considerably reduced the retinal inflammation and oxidative stress stimulated via high glucose, and also activated the antioxidative Nrf2 pathway and inhibited the NLRP3 inflammasome formation in rats.

Chrysophanol exhibits inhibitory activities against colorectal cancer by targeting decorin.

Colorectal cancer (CRC) is a common human malignancy that accounts for 600,000 deaths annually worldwide. Chrysophanol, a naturally occurring anthraquinone compound, exhibits anti-neoplastic effects in various cancer cells. The aim of this study was to explore the biological effects of chrysophanol on CRC cells, and determine the underlying mechanism. Chrysophanol inhibited proliferation of and promoted apoptosis in CRC cells by activating the intrinsic mitochondrial apoptotic pathway. In addition, chrysophanol also suppressed tumor growth in vivo and increased the percentage of apoptotic cells in tumor xenografts, without general toxicity. Proteomic iTRAQ analysis revealed decorin (DCN) as the major target of chrysophanol. DCN was upregulated in the tumor tissues following chrysophanol treatment, and ectopic DCN expression markedly augmented the pro-apoptotic effects of chrysophanol in CRC cells. In contrast, DCN knockdown significantly abrogated chrysophanol-induced apoptosis in CRC cells. Taken together, chrysophanol exerts anti-neoplastic effects in vitro and in vivo in CRC cells by modulating DCN, there by highlighting its therapeutic potential in CRC.

Clinical classification of clival chordomas for transnasal approaches.

Endoscopic endonasal approaches (EEAs) are ideal for most chordomas, but there is little information regarding the practical clinical classification of clival chordomas to guide surgery with EEAs. This article investigates a relatively concise and practical clinical classification system for clival chordomas and summarizes the clinical characteristics and operative key points of different clinical types. Here, 55 patients with clival chordomas treated through EEAs from 2012 to 2017 were retrospectively reviewed. Depending on the origin of the notochord and the growth pattern of the tumor, with our introduced Wang's line, these cases of clival chordoma were divided into types I-IV. There were 14 cases of type I-A, 7 cases of type I-B, 10 cases of type II, 10 cases of type III-A, 7 cases of type III-B, and 7 cases of type IV. The gross total resection (GTR) rate of primary and recurrent type I tumors was 64% and 25%, and residual tumors were found mainly in cases with involvement of the cavernous sinus or the posterior upper part of the dorsum sella. The GTR rate of primary and recurrent type II tumors was 85% and 66.6%, respectively. Residual tumors were found in cases with involvement of the petrous apex. The GTR rate of primary and recurrent type III tumors was 75% and 20%, and residual tumors were found in cases with involvement of the parapharyngeal space and dorsal side of C1-2. Residual type I-B and type III-B tumors were found when there was BA or VA adhesion or brain stem invasion. Our new classification method proposed here can be used to guide the resection of clival chordomas through EEAs.

Mechanical, Electrical, and Piezoresistive Sensing Characteristics of Epoxy-Based Composites Incorporating Hybridized Networks of Carbon Nanotubes, Graphene, Carbon Nanofibers, or Graphite Nanoplatelets.

The present study compared the mechanical, electrical, morphological, and piezoresistive characteristics of epoxy-based sensing nanocomposites fabricated with inclusions of hybridized networks of four different carbon nanomaterials (CNMs), such as carbon nanotube (CNT), graphene, carbon nanofiber (CNF), and graphite nanoplatelet (GNP). Enhancements in elastic modulus and electrical conductivity were achieved by CNT-graphene composites and CNT-CNF composites, and these were explained by the morphological observations carried out in the present study and experimental studies found in the literature. The greatest gauge factor was accomplished by the CNT-GNP composite, followed by the CNT-CNF composite among composites where the CNM networks were sufficiently formed with a content ratio of 3%. The two types of the composites outperformed the composites incorporating solely CNT in terms of gauge factor, and this superiority was explained with the excluded volume theory.

Overexpression of Brg1 alleviates high glucose-induced retinal ganglion cell apoptosis though regulating Notch/Hes1 signaling.

High glucose (HG)-caused damage of retinal ganglion cells (RGCs) plays an important role in the pathogenesis of diabetic retinopathy, a common and severe complication of diabetes mellitus. Accumulating evidence has reported that brahma-related gene 1 (Brg1) exerts a cytoprotective role in protection of cells from various injuries. In this study, we investigated the role of Brg1 in regulating HG-induced injury of RGCs. We found that RGCs treated with HG exhibited a low expression level of Brg1 compared with untreated RGCs. Gain-of-function experiments showed that Brg1 overexpression significantly improved the viability and reduced the apoptosis of RGCs exposed to HG. Notably, our data revealed that Brg1 overexpression increased the expression of Notch ligands, including Jagged 1, Jagged 2, Delta-like 1, and Delta-like 4. Moreover, Brg1 overexpression upregulated the expression of Notch1 intracellular domain (NICD) and Hes1, which resulted in activation of Notch signaling. Blockade of Notch signaling partially reversed Brg1-mediated protection effect in HG-treated RGCs, while overexpression of NICD significantly attenuated the promotion effect of Brg1 silencing on HG-induced injury in RGCs. Taken together, these results suggest that Brg1 protects RGCs against HG-induced injury through enhancing the activation of Notch signaling, suggesting a potential target for preserving RGCs in diabetic retinopathy.

Screening for therapeutic targets of tumor angiogenesis signatures in 31 cancer types and potential insights.

Tumor vessel normalization can increase pericyte coverage, perfusion efficiency and immune infiltration, while reducing hypoxia, vessel leakage, CTC and metastasis. In this study, we systemically presented the expression pattern of tumor angiogenesis gene signatures in 31 cancer types and its association with immune infiltration and cancer metastasis. Specifically, READ, COAD etc. have relatively similar expression patterns with low GPAGs and high PPAGs. Patients with this expression pattern may benefit from tumor vessel normalization. COAD was selected for further investigation and we found GPAG CXCL12 was downregulated while PPAG EPHB3 was overexpressed in COAD, which were further validated using two independent colon cancer dataset. Further study indicated that CXCL12 expression was positively correlated innate inflammation pathways such as NFκB and negatively correlated with metastasis, while EPHB3 had a reverse result. Moreover, CXCL12 was positively correlated with cancer immune infiltration while EPHB3 was negatively correlated with cancer immune infiltration. Besides, the association between CXCL12/EPHB3 and mutation/CNA landscape were also explored. We also discussed the potential application of gut microbiota in cancer treatment. In summary, blood vessel normalization could promote immune infiltration and repress cancer metastasis while immune cell infiltration can promote blood vessel normalization through a positive feedback loop.

Optimization of Surface Treatment Using Sodium Hypochlorite Facilitates Coseparation of ABS and PC from WEEE Plastics by Flotation.

Waste acrylonitrile butadiene styrene (ABS) and polycarbonate (PC) as dominant components in waste electrical and electronic equipment (WEEE) plastics show significant potential for recycling, which is severely restricted by efficient separation method. We proposed a novel surface treatment method using sodium hypochlorite for facilitating coseparation of ABS and PC from WEEE plastics by flotation for recycling. Optimization of surface treatment process was performed with response surface methodology using Box-Behnken design. A quadratic model was generated for predicting the floating rate of ABS and PC, and it was also used to optimize the coseparation performance. The optimum conditions were determined and included concentration of 0.05 M, temperature of 69.5 °C, contact time of 56.5 min, and stirring rate of 200 rpm. Under optimum conditions, the coseparation of ABS and PC was effectively achieved; the recovery and the purity of ABS and PC reached 97.4% and 100.0%, respectively. The formation of oxygen-bearing groups and morphological changes were confirmed as major mechanism to induce the surface hydrophilization of ABS and PC. Consequently, this method is feasible for selective coseparation of ABS and PC from WEEE plastics, and it provides technological insights in the sustainable deposal of WEEE plastics.

Alterations of the Immunologic Co-Stimulator B7 and TNFR Families Correlate with Hepatocellular Carcinoma Prognosis and Metastasis by Inactivating STAT3.

Blockade of the immunosuppressive checkpoint receptors cytotoxic T-lymphocyte-associated protein 4 (CTLA4) or programmed death 1 (PD-1) and its cognate ligand, programmed death 1 ligand (PD-L1), has altered the landscape of anti-tumor immunotherapy. B7 family and tumor necrosis factor receptor (TNFR) superfamily play a crucial role in T cell activation, tolerance, and anergy through co-stimulatory and inhibitory signal transduction. Investigating the immune molecular landscapes of the B7 and TNFR families is critical in defining the promising responsive candidates. Herein, we performed comprehensive alteration analysis of the B7 and TNFR family genes across six hepatocellular carcinoma (HCC) datasets with over 1000 patients using cBioPortal TCGA data. About 16% of patients had both B7 and TNFR gene alterations. TNFR gene amplifications were relatively more common (1.73⁻8.82%) than B7 gene amplifications (1.61⁻2.94%). Analysis of 371 sequenced samples revealed that all genes were upregulated: B7 and TNFR mRNA were upregulated in 23% of cases (86/371) and 28% of cases (105/371), respectively. Promoter methylation analysis indicated an epigenetic basis for B7 and TNFR gene regulation. The mRNA levels of B7 and TNFR genes were inversely correlated with promoter methylation status. B7-H6 expression was significantly associated with worse overall survival, and B7-H6 mRNA was increased gradually in cases with gene copy number alterations. B7-H6 overexpression was associated with aggressive clinicopathologic features and poor prognosis in HCC. Downregulation of B7-H6 in HCC cells significantly inhibited cell adhesion, proliferation, migration, and invasion. Knockdown of B7-H6 in HCC cells inhibited tumor growth and metastasis in vivo. B7-H6 promoted HCC metastasis via induction of MMP-9 expression and STAT3 activation. B7-H6 and STAT3 performed functional overlapping roles on enhancing the MMP-9 promoter activity in HCC cells. These results suggest that alterations of the immunologic co-stimulator B7 and TNFR families correlate with HCC metastasis and prognosis, and especially B7-H6 plays a critical role in promoting metastasis of HCC.

A 3DBER-S-EC process for simultaneous nitrogen and phosphorus removal from wastewater with low organic carbon content.

A new process was proposed by integrating a three-dimensional biofilm electrode reactor with sulfur autotrophic denitrification and electrocoagulation within the same reactor. The results indicated that under the wastewater influent condition of NO3--N = 30 mg/L, COD = 45 mg/L, total phosphorus (TP) = 1.5 mg/L, hydraulic retention time (HRT) = 8 h, and I = 400 mA, the NO3--N and TP removal of the proposed process reached 89.8% and 83.0%, respectively. It was observed that the electrocoagulation process improved phosphorus removal, while the simultaneous existence of heterotrophic, hydrogen, sulfur and iron autotrophic denitrifying bacteria led to enhanced and stabilized nitrogen removal. The Sulfuritalea hydrogenivorans sk43H and Sulfuricella denitrificans skB26 were found as the dominant denitrifying bacteria in the electrocoagulation section and the section of biofilm electrode with sulfur filler, respectively. As compared to conventional technologies, the proposed new process can achieve simultaneous, stable and deep nitrogen and phosphorus removal from wastewater treatment plant effluent with low organic carbon content.