Integration of protein sequence and protein-protein interaction data by hypergraph learning to identify novel protein complexes.

Protein-protein interactions (PPIs) are the basis of many important biological processes, with protein complexes being the key forms implementing these interactions. Understanding protein complexes and their functions is critical for elucidating mechanisms of life processes, disease diagnosis and treatment and drug development. However, experimental methods for identifying protein complexes have many limitations. Therefore, it is necessary to use computational methods to predict protein complexes. Protein sequences can indicate the structure and biological functions of proteins, while also determining their binding abilities with other proteins, influencing the formation of protein complexes. Integrating these characteristics to predict protein complexes is very promising, but currently there is no effective framework that can utilize both protein sequence and PPI network topology for complex prediction. To address this challenge, we have developed HyperGraphComplex, a method based on hypergraph variational autoencoder that can capture expressive features from protein sequences without feature engineering, while also considering topological properties in PPI networks, to predict protein complexes. Experiment results demonstrated that HyperGraphComplex achieves satisfactory predictive performance when compared with state-of-art methods. Further bioinformatics analysis shows that the predicted protein complexes have similar attributes to known ones. Moreover, case studies corroborated the remarkable predictive capability of our model in identifying protein complexes, including 3 that were not only experimentally validated by recent studies but also exhibited high-confidence structural predictions from AlphaFold-Multimer. We believe that the HyperGraphComplex algorithm and our provided proteome-wide high-confidence protein complex prediction dataset will help elucidate how proteins regulate cellular processes in the form of complexes, and facilitate disease diagnosis and treatment and drug development. Source codes are available at https://github.com/LiDlab/HyperGraphComplex.

Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis.

BACKGROUND: Urinary tract infection (UTI) is a common cause of sepsis. Elderly patients with urosepsis in intensive care unit (ICU) have more severe conditions and higher mortality rates owing to factors such as advanced age, immunosenescence, and persistent host inflammatory responses. However, comprehensive studies on nomograms to predict the in-hospital mortality risk in elderly patients with urosepsis are lacking. This study aimed to construct a nomogram predictive model to accurately assess the prognosis of elderly patients with urosepsis and provide therapeutic recommendations. METHODS: Data of elderly patients with urosepsis were extracted from the Medical Information Mart for Intensive Care (MIMIC) IV 2.2 database. Patients were randomly divided into training and validation cohorts. A predictive nomogram model was constructed from the training set using logistic regression analysis, followed by internal validation and sensitivity analysis. RESULTS: This study included 1,251 patients. LASSO regression analysis revealed that the Glasgow Coma Scale (GCS) score, red cell distribution width (RDW), white blood count (WBC), and invasive ventilation were independent risk factors identified from a total of 43 variables studied. We then created and verified a nomogram. The area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA) of the nomogram were superior to those of the traditional SAPS-II, APACHE-II, and SOFA scoring systems. The Hosmer-Lemeshow test results and calibration curves suggested good nomogram calibration. The IDI and NRI values showed that our nomogram scoring tool performed better than the other scoring systems. The DCA curves showed good clinical applicability of the nomogram. CONCLUSIONS: The nomogram constructed in this study is a convenient tool for accurately predicting in-hospital mortality in elderly patients with urosepsis in ICU. Improving the treatment strategies for factors related to the model could improve the in-hospital survival rates of these patients.

MiR-29c alleviates hyperglycemia-induced inflammation via targeting TGF-ß in cardiomyocytes.

This study aims to investigate whether miR-29c is involved in regulating transforming growth factor-ß (TGF-ß) mediated inflammation in diabetic cardiomyopathy (DCM). Our data showed increased inflammation and oxidative stress in diabetic myocardium together with decrease of miR-29c and elevation of TGF-ß expression. In vitro experiments, we transfected miR-29c mimic and antagomir into HL-1 cells to explore the effect of miR-29c on inflammation in hyperglycemic conditions. Overexpression of miR-29c down-regulated the elevated TNF-α level, ROS production and NADPH oxidase activity which caused by high glucose. However, above changes were reversed by miR-29c antagomir. Interestingly, TGF-ß protein rather than mRNA expression was changed significantly after transfection with miR-29c mimic, indicating that the modulation of TGF-ß mediated by miR-29c was at the posttranslational level. Meanwhile, we found that 3'-UTR of TGF-ß was the direct target of miR-29c confirmed by dual-luciferase assay. In conclusion, our study revealed that miR-29c could alleviate hyperglycemic-induced inflammation and ROS production via targeting TGF-ß in cardiomyocytes, which provides a potential target for the treatment of DCM.

MiR-221-3p targets HIPK2 to promote diabetic wound healing.

Diabetic foot ulcer is a severe complication of diabetes and is prone to being a chronic non-healing wound. We previously demonstrated that endothelial progenitor cell-derived exosomes, which contain miR-221-3p, alleviate diabetic ulcers. Here, to explore the mechanisms underlying this wound healing, we investigated the potential angiogenic effects of miR-221-3p in vitro using cultured human umbilical vein endothelial cells (HUVECs) and in vivo using a streptozotocin-induced mouse model of diabetes. We found that miR-221-3p promoted HUVEC viability, migration, and capillary-like tube formation. HUVECs cultured in high glucose showed up-regulated expression of homeodomain-interacting protein kinase 2 (HIPK2), a predicted target of miR-221-3p that may decrease angiogenesis. Knockdown of HIPK2 enhanced high glucose-suppressed HUVEC viability, migration, and tube formation, counteracting the effects of high glucose. Using a dual luciferase reporter assay, we found that HIPK2 was indeed a direct target of miR-221-3p. Subcutaneous injection of miR-221-3p agomir into diabetic mice promoted wound healing and suppressed HIPK2 expression in wound margin tissue. These findings indicate that HIPK2, as a direct target of miR-221-3p, contributes to the regulatory role of miR-221-3p in diabetic wound healing and may be a novel therapeutic target for diabetic foot ulcer.

Vitexin regulates Epac and NLRP3 and ameliorates chronic cerebral hypoperfusion injury.

Chronic cerebral hypoperfusion (CCH), as a critical factor of chronic cerebrovascular diseases, has greatly influenced the health of patients with vascular dementia. Vitexin, a flavone C-glycoside (apigenin-8-C-ß-D-glucopyranoside) that belongs to the flavone subclass of flavonoids, has been shown to possess antioxidant and anti-ischemic properties; however, the putative protective effects of vitexin on the CCH need further investigation. In the current study, the role of vitexin and its underlying mechanism were investigated with permanent bilateral common carotid artery occlusion (2VO) in rats as well as mouse hippocampal neuronal (HT22) cells with oxygen and glucose deprivation/reoxygenation (OGD/R) injury model. The results demonstrated that vitexin improved cognitive dysfunction as well as alleviated pathological neuronal damage in hematoxylin plus eosin (HE) and TUNEL results. The decreased levels of exchange protein directly activated by cAMP 1 (Epac1), Epac2, Ras-associated protein 1 (Rap1), and phospho-extracellular signal-regulated kinase (p-ERK) were reversed by vitexin in rats with CCH. Furthermore, this study indicated that vitexin alleviated CCH-induced inflammation injuries by reducing the expression of NOD-like receptor 3 (NLRP3), caspase-1, interleukin 1ß (IL-1ß), IL-6, and cleaved caspase-3. In vitro, vitexin increased the expression of Epac1 and Epac2, decreased the activation of the NLRP3-mediated inflammation, and improved cell viability. Taken together, our findings suggest that vitexin can reduce the degree of the progressing pathological damage in the cortex and hippocampus and inhibit further deterioration of cognitive function in rats with CCH. Epac and NLRP3 can be regulated by vitexin in vivo and in vitro, which provides enlightenment for the protection of CCH injury.

AMPK activator AICAR promotes 5-FU-induced apoptosis in gastric cancer cells.

The aim of the present study was to determine the effect of AICAR, an AMPK activator, on apoptosis in gastric carcinoma cells (SGC-7901) with or without 5-fluorouracil (5-FU). SGC-7901 cells were treated with AICAR (0.2-5 mM, for 24-48 h) with or without 5-FU. Cell viability was determined using MTT assay, while apoptosis were measured through the evaluation of active caspase-3 activity and DNA fragmentation. Real-time PCR was employed to determine the expression of tumor suppressor and multi-drug resistant (mdr1) gene. Cleaved caspase-3 and phosphorylated AMPK (p-AMPK) were measured by Western blot. AICAR significant reduced cellular viability but increased apoptosis in a time- and dose-dependent manner, which is associated with an increase in p-AMPK levels. Importantly, AICAR enhanced the sensitivity to 5-FU-induced reduction of cellular viability and increased apoptosis in SGC-7901 cells. Furthermore, AICAR increased tumor suppressor genes [F-box and WD repeat domain containing 7 (FBXW7), semaphorin III/F (SEMA3F), and p21(Cip1) (p21)] but reduced mdr1 expression. Finally, p-AMPK levels were reduced in 5-FU-resistant gastric cancer cells compared to human immortalized gastric epithelial cell line and 5-FU-sensitive gastric cancer cells. AICAR not only induces apoptosis alone but also enhances pro-apoptotic effect of 5-FU in SGC-7901 cells, which lays an experimental foundation to develop AICAR as a chemotherapeutic sensitizer against gastric cancer.

All-Trans Retinoic Acid Inhibits Human Colorectal Cancer Cells RKO Migration via Downregulating Myosin Light Chain Kinase Expression through MAPK Signaling Pathway.

All-trans-retinoic acid (ATRA) inhibits the invasive and metastatic potentials of various cancer cells. However, the underlying mechanism is unclear. Here, we demonstrate that ATRA inhibited colorectal cancer cells RKO (human colon adenocarcinoma cell) migration by downregulating cell movement and increasing cell adhesion. ATRA inhibited the expression and activation of myosin light chain kinase (MLCK) in RKO cells, while the expression level of MLC phosphatase (MLCP) had no change in RKO cells treated with or without ATRA. The expression and activity of MLC was also inhibited in RKO cells exposed to ATRA. Intriguingly, ATRA increased the expression of occludin messenger RNA (mRNA) and protein and its localization on cell membrane. However, ATRA did not change the expression of zonula occludens 1 (ZO-1), but increased the accumulation of ZO-1 on RKO cells membrane. ML-7, an inhibitor of MLCK, significantly inhibited RKO cell migration. Furthermore, knockdown of endogenous MLCK expression inhibited RKO migration. Mechanistically, we showed that MAPK-specific inhibitor PD98059 enhanced the inhibitory effect of ATRA on RKO migration. In contrast, phorbol 12-myristate 13-acetate (PMA) attenuated the effects of ATRA in RKO cells. Moreover, knocking down endogenous extracellular signal-regulated kinase (ERK) expression inhibited MLCK expression in the RKO cells. In conclusion, ATRA inhibits RKO migration by reducing MLCK expression via extracellular signal-regulated kinase 1/Mitogen-activated protein kinase (ERK1/MAPK) signaling pathway.

Pharmacokinetics and safety of cyclophosphamide and docetaxel in a hemodialysis patient with early stage breast cancer: a case report.

BACKGROUND: Standardized chemotherapy used in cancer patients with severe kidney insufficiency is ineffective. Although there are some pharmacokinetic studies on cyclophosphamide in kidney insufficiency patients, to the best of our knowledge, the pharmacokinetics and safety of combination of cyclophosphamide and docetaxel as postoperative chemotherapy in a patient with early stage breast cancer undergoing hemodialysis is unclear thus far. CASE PRESENTATION: The patient received regular TC regimen (cyclophosphamide 600 mg/m2, docetaxel 75 mg/m2). She underwent hemodialysis 48 h after chemotherapy. Blood samples at multiple time-points were collected for determination of plasma levels of cyclophosphamide and docetaxel. Pharmacokinetic analyses indicated that compared with the reference data, the in vivo half-life (66.96 h) and drug exposure (150%) of cyclophosphamide significantly increased; however, pharmacokinetic parameters of docetaxel was unaffected. Patient developed grade I thrombocytopenia and grade III leukopenia without any other severe adverse reactions. In total, four cycles of treatment were completed. After the chemotherapy, the patient received tamoxifen as endocrine therapy for one and a half years. No recurrence was reported. CONCLUSION: These results suggest that the standard TC regimen is mostly safe and could be used as postoperative adjuvant chemotherapy for hemodialysis patients with early stage breast cancer.

MicroRNA-126 attenuates palmitate-induced apoptosis by targeting TRAF7 in HUVECs.

The aim of the present study was to explore the role of miR-126 in palmitate-induced HUVECs apoptosis and the possible mechanisms. Palmitate inhibited miR-126 expression in HUVECs, increased reactive oxygen species (ROS) production, and induced apoptosis as determined by up-regulation of caspase-3 activity and DNA fragmentation. Overexpression of miR-126 decreased ROS production, TNF-α expression, and apoptosis in palmitate-stimulated HUVECs. In contrast, miR-126 antagomir enhanced palmitate-induced ROS production, TNF-α expression, and apoptosis. The induction of miR-126 correlated with a reduction in TRAF7. We further showed that miR-126 targeted and inhibited TRAF7 expression through target sites located in the 3' untranslated region of TRAF7 mRNA. In concordance, miR-126 mimic reduced TRAF7 protein in HUVECs, whereas the inhibition of miR-126 increased it. This study demonstrates an anti-apoptotic role of miR-126 in HUVECs and identifies TRAF7 as a direct target of miR-126 in HUVECs.

Atorvastatin inhibits hyperglycemia-induced expression of osteopontin in the diabetic rat kidney via the p38 MAPK pathway.

Osteopontin (OPN), a large phosphoglycoprotein adhesion molecule, which is up-regulated in the kidneys of humans and mice with diabetes, has emerged as a potentially key pathophysiological contributor in diabetic nephropathy. Here, we investigated the role of OPN in kidney injury caused by diabetic nephropathy and the effect of atorvastatin on the expression of OPN and on diabetic nephropathy. Diabetes was induced with streptozotocin in rats, and atorvastatin (5 mg/kg) was orally administered once a day for 8 weeks. We analyzed the expression and regulation of OPN in the kidneys of streptozotocin-induced diabetic Sprague-Dawley albino rats by immunohistochemistry and western blot analysis. The expression of OPN was increased in diabetic rat kidney, and atorvastatin inhibited this process. Atorvastatin also decreased the expression and phosphorylation of p38. In vitro, atorvastatin inhibited the high glucose-induced OPN expression in Madin-Darby canine kidney epithelial cells through the p38 MAPK signaling pathway. These results suggested that atorvastatin reduced the expression of OPN through inhibition of the p38 MAPK pathway. The expression of OPN was associated with kidney injury. These molecules may represent therapeutic targets for the prevention of acute kidney injury induced by diabetes.

4-amino-2-trifluoromethyl-phenyl retinate alleviates lipopolysaccharide-induced acute myocardial injury through activation of the KLF4/p62 axis.

Ferroptosis plays a pivotal role in the pathological process of sepsis-induced cardiomyopathy (SIC). All-trans retinoic acid (ATRA) enhances the host immune response to lipopolysaccharides (LPS). This study investigated the role of 4-amino-2-trifluoromethyl-phenyl retinate (ATPR), a derivative of ATRA, in myocardial injury caused by sepsis. Male C57BL/6 mice were intraperitoneally injected with LPS to establish a sepsis model. H9c2 cells were stimulated by LPS to establish an injury model. We observed that ATPR improved myocardial injury in mice, which was presented in terms of an increased glutathione (GSH) level and reduced production of malondialdehyde (MDA), as well as an increased number of mitochondrial cristae and maintenance of the mitochondrial membrane integrity. ATPR improved cardiac function in the LPS-injured mice. It inhibited the inflammatory response as evidenced by the decreasing mRNA levels of TNF-α and IL-6. The elevated protein expression levels of Nrf2, SLC7A11, GPX4, and FTH1 in mice and H9c2 cells showed that ATPR inhibited ferroptosis. Immunoprecipitation of LPS-stimulated H9c2 cells demonstrated that ATPR increased the interaction between p62 and Keap1. ATPR upregulated the KLF4 and p62 protein expression. However, the inhibition of Nrf2 by ML385 reduced the protective effect of ATPR in LPS-treated H9c2 cells. Furthermore, we used siRNA to knock down KLF4 in H9c2 cells and found that the KLF4 knockdown eliminated the inhibition of ferroptosis by ATPR in H9c2 cells. Therefore, ATPR alleviates LPS-induced myocardial injury by inhibiting ferroptosis via the KLF4/p62 axis.

Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation.

OBJECTIVE: Sepsis-induced coagulopathy (SIC) is extremely common in individuals with sepsis, significantly associated with poor outcomes. This study attempted to develop an interpretable and generalizable machine learning (ML) model for early predicting the risk of 28-day death in patients with SIC. METHODS: In this retrospective cohort study, we extracted SIC patients from the Medical Information Mart for Intensive Care III (MIMIC-III), MIMIC-IV, and eICU-CRD database according to Toshiaki Iba's scale. And the overlapping in the MIMIC-IV was excluded for this study. Afterward, only the MIMIC-III cohort was randomly divided into the training set, and the internal validation set according to the ratio of 7:3, while the MIMIC-IV and eICU-CRD databases were considered the external validation sets. The predictive factors for 28-day mortality of SIC patients were determined using recursive feature elimination combined with tenfold cross-validation (RFECV). Then, we constructed models using ML algorithms. Multiple metrics were used for evaluation of performance of the models, including the area under the receiver operating characteristic curve (AUROC), area under the precision recall curve (AUPRC), accuracy, sensitivity, specificity, negative predictive value, positive predictive value, recall, and F1 score. Finally, Shapley Additive Explanations (SHAP), Local Interpretable Model-Agnostic Explanations (LIME) were employed to provide a reasonable interpretation for the prediction results. RESULTS: A total of 3280, 2798, and 1668 SIC patients were screened from MIMIC-III, MIMIC-IV, and eICU-CRD databases, respectively. Seventeen features were selected to construct ML prediction models. XGBoost had the best performance in predicting the 28-day mortality of SIC patients, with AUC of 0.828, 0.913 and 0.923, the AUPRC of 0.807, 0.796 and 0.921, the accuracy of 0.785, 0.885 and 0.891, the F1 scores were 0.63, 0.69 and 0.70 in MIMIC-III (internal validation set), MIMIC-IV, and eICU-CRD databases. The importance ranking and SHAP analyses showed that initial SOFA score, red blood cell distribution width (RDW), and age were the top three critical features in the XGBoost model. CONCLUSIONS: We developed an optimal and explainable ML model to predict the risk of 28-day death of SIC patients 28-day death risk. Compared with conventional scoring systems, the XGBoost model performed better. The model established will have the potential to improve the level of clinical practice for SIC patients.

MicroRNA-1 prevents high-fat diet-induced endothelial permeability in apoE knock-out mice.

The development of atherosclerosis (AS) is a multifactorial process in which elevated plasma cholesterol levels play a central role. As a new class of players involved in AS, the regulation and function of microRNAs (miR) in response to AS remain poorly understood. This study analyzed the effects of miR-1 (antagomir and mimic) on endothelial permeability and myosin light chain kinase (MLCK) expression and activity in the artery wall of apoE knock-out mice after feeding them a high-cholesterol diet. Further, we tested to determine whether that effects are involved in ERK phosphorylation. Here, we show that a high-cholesterol diet induces a significant decrease of miR-1 expression. Histopathologic examination demonstrated that miR-1 antagomir enhances endothelial permeability induced by high cholesterol and miR-1 mimic attenuated endothelial barrier dysfunction. Consistent with endothelial permeability, Western blotting, qPCR, and γ-(32)P-ATP phosphate incorporation showed that MLCK expression and activity were further increased in miR-1 antagomir-treated mice and decreased in miR-1 mimic-treated mice compared with those of mice receiving control miR. Further mechanistic studies showed that high-cholesterol-induced extracellular signal regulated kinase (ERK) activation was enhanced by miR-1 antagomir and attenuated by miR-1 mimic. Collectively, those results indicate that miR-1 contributes to endothelial barrier function via mechanisms involving not only MLCK expression and activity but also ERK phosphorylation.

Extraction of DNA from trace forensic samples with a modified lysis buffer and chitosan coated magnetic beads.

The trace amounts of human tissue cells or body fluids left at the crime scene are often mixed with inhibitors such as rust, pigments, and humic acid. The extraction of the DNA from the trace cells is crucial for the investigation of cases. Usually, specially designed magnetic nanoparticles were chosen by the case investigators to enrich and elute DNA, which was then used for polymerase chain reaction (PCR) and short tandem repeat (STR) analysis. The traditional approach often had the following problems, such as low DNA enrichment efficiency, possible DNA breakage, and complex operations. Here, the 1%(w/v) of chitosan (75% deacetylation degree) was used to modify the 50 nm magnetic nanoparticles to gain the Chitosan@Beads, which theoretically carried positively charged in the pH = 5 of lysis buffer so as to adsorb negatively charged DNA through electrostatic interactions. The XPS and FT-IR results demonstrated that chitosan was successfully attached to the surface of magnetic nanoparticles. A set of simulated samples, containing 20 mg/µL of humic acid, pigments, iron ions (Fe2+, Fe3+), and the coexistence of the above three substances, were prepared to simulate the case scene. Human bronchial epithelial cells were mixed with the 200 µL of the above simulated samples for DNA extraction. 400 µL of lysis buffer, 20 µL of proteinase K (10 mg/mL) and 20 µL of Chitosan@Beads solution (20 mg/mL) was used for cell disruption and DNA enrichment. The extraction sensitivity of Chitosan@Beads was confirmed to be 10 cells, superior to commercial reagent kits. The Chitosan@Beads@DNA can directly use for "In-situ PCR" with elution-free operations. The STR loci rate of DNA extracted by Chitosan@Beads was around 97.9%, higher than the commercial kit (66.7%). In short, we foresee here developed novel Chitosan@Beads and modified lysis buffer could provide a new model for the DNA extraction of forensic trace evidence.

Melatonin Potentiates Sensitivity to 5-Fluorouracil in Gastric Cancer Cells by Upregulating Autophagy and Downregulating Myosin Light-Chain Kinase.

5-Fluorouracil is an effective chemotherapeutic drug for gastric cancer. However, the acquisition of chemotherapeutic resistance remains a challenge in treatment. Melatonin can enhance the therapeutic effect of 5-fluorouracil; however, the underlying mechanisms are not well understood. We investigated the effects of combinations of melatonin and 5-fluorouracil on the proliferation, migration and invasion of gastric cancer cells. Melatonin significantly potentiated the 5-fluorouracil-mediated inhibition of proliferation, migration and invasion in gastric cancer cells, which potentiates sensitivity to 5-FU by promoting the activation of Beclin-1-dependent autophagy and targeting the myosin light-chain kinase (MLCK) signaling pathway. Previous studies have shown that autophagy might be associated with the MLCK signaling pathway. The autophagy inhibitor, 3-methyladenine, effectively rescued the migratory and invasive capabilities of gastric cancer cells, while also reducing expression level of MLCK and the phosphorylation level of MLC. This indicates that autophagy is involved in tumor metastasis, which may be related to inhibition of the MLCK signaling pathway. Our findings indicate that melatonin can improve the effectiveness of 5-fluorouracil in gastric cancer and could be used as a supplemental agent in the treatment of gastric cancer with 5-fluorouracil.

USP9X expression is functionally related to laryngeal cancer.

An increasing number of studies have shown that USP9X is closely related to cancer. However, its role in carcinogenesis and progression of laryngeal cancer has not yet been investigated. In this study, we found that USP9X was upregulated in laryngeal cancer tissues. The expression of USP9X was significantly correlated with degree of laryngeal cancer differentiation and lymphatic metastasis. USP9X knockdown led to a decrease in the ability of proliferation, migration, and invasion of FaDu cells. The proportion of FaDu apoptotic cells increased by interfering with the endogenous expression of USP9X. We speculated that inhibiting USP9X might induce apoptosis in FaDu cells by downregulating Mcl-1 and upregulating Bax protein expression. Our findings for the first time suggest the expression level and trend of USP9X in laryngeal cancer tissue and USP9X may plays an important role in promoting the occurrence and progression of laryngeal cancer. USP9X may be a potential target for intervention in treatment of laryngeal cancer.

Selective conversion of CO2 to isobutane-enriched C4 alkanes over InZrOx-Beta composite catalyst.

Direct conversion of CO2 to a single specific hydrocarbon with high selectivity is extremely attractive but very challenging. Herein, by employing an InZrOx-Beta composite catalyst in the CO2 hydrogenation, a high selectivity of 53.4% to butane is achieved in hydrocarbons (CO free) under 315 °C and 3.0 MPa, at a CO2 conversion of 20.4%. Various characterizations and DFT calculation reveal that the generation of methanol-related intermediates by CO2 hydrogenation is closely related to the surface oxygen vacancies of InZrOx, which can be tuned through modulating the preparation methods. In contrast, the three-dimensional 12-ring channels of H-Beta conduces to forming higher methylbenzenes and methylnaphthalenes containing isopropyl side-chain, which favors the transformation of methanol-related intermediates to butane through alkyl side-chain elimination and subsequent methylation and hydrogenation. Moreover, the catalytic stability of InZrOx-Beta in the CO2 hydrogenation is considerably improved by a surface silica protection strategy which can effectively inhibit the indium migration.

Influence of long-term fertilization on soil aggregates stability and organic carbon occurrence characteristics in karst yellow soil of Southwest China.

Current research has long focused on soil organic carbon and soil aggregates stability. However, the effects of different long-term fertilization on the composition of yellow soil aggregates and the characteristics of the occurrence of organic carbon in the karst region of Southwest China are still unclear. Based on a 25-year long-term located experiment on yellow soil, soil samples from the 0-20 cm soil layer were collected and treated with different fertilizers (CK: unfertilized control; NPK: chemical fertilizer; 1/4 M + 3/4 NP: 25% chemical fertilizer replaced by 25% organic fertilizer; 1/2 M + 1/2 NP: 50% chemical fertilizer replaced by organic fertilizer; and M: organic fertilizer). In water-stable aggregates, soil aggregates stability, total organic carbon (TOC), easily oxidized organic carbon (EOC), carbon preservation capacity (CPC), and carbon pool management index (CPMI) were analyzed. The findings demonstrated that the order of the average weight diameter (MWD), geometric mean diameter (GWD), and macro-aggregate content (R0.25) of stable water aggregates was M > CK > 1/2M +1/2NP > 1/4M +3/4NP> NPK. The MWD, GWD, and R0.25 of NPK treatment significantly decreased by 32.6%, 43.2%, and 7.0 percentage points, respectively, compared to CK treatment. The order of TOC and EOC content in aggregates of different particle sizes was M > 1/2M +1/2NP > 1/4M +3/4NP> CK > NPK, and it increased as the rate of organic fertilizer increased. In macro-aggregates and bulk soil, the CPC of TOC (TOPC) and EOC (EOPC), as well as CPMI, were arranged as M > 1/2M +1/2NP > 1/4M +3/4NP> CK > NPK, but the opposite was true for micro-aggregates. In bulk soil treated with organic fertilizer, the TOPC, EOPC, and CPMI significantly increased by 27.4%-53.8%, 29.7%-78.1%, 29.7-82.2 percentage points, respectively, compared to NPK treatment. Redundancy analysis and stepwise regression analysis show that TOC was the main physical and chemical factor affecting the aggregates stability, and the TOPC in micro-aggregates has the most direct impact. In conclusion, the primary cause of the decrease in SOC caused by the long-term application of chemical fertilizer was the loss of organic carbon in macro-aggregates. An essential method to increase soil nutrient supply and improve yellow soil productivity was to apply an organic fertilizer to increase aggregates stability, storage and activity of SOC in macro-aggregates.

Effects of long-term fertilization patterns on bacterial community structure and soil nutrients in dryland of yellow soil.

Understanding the responses of soil bacterial community to long-term fertilization in dryland of yellow soil could provide theoretical basis for establishing scientific fertilization system and cultivating healthy soil. Based on a 25-year long-term fertilization experiment on yellow soil, we collected soil samples from 0-20 cm layer under different fertilization treatments: no fertilization (CK), balanced application of N, P and K fertilizers (NPK), single application of organic fertilizer (M), combined application of constant organic and inorganic fertilizer (MNPK), and 1/2 organic fertilizer instead of 1/2 chemical fertilizer (MNP). Illumina MiSeq high-throughput sequencing technology was used to examine the effects of different fertilization patterns on soil bacterial community structure and soil nutrient content. The main driving factors of soil bacterial community were explored. The results showed that soil pH and organic matter content under treatments with organic fertilizer increased by 11.4%-13.5% and 28.8%-52.0%, respectively, compared to that under NPK treatment. Long-term fertilization did not affect soil bacterial α diversity, but significantly affected soil bacterial ß diversity. Compared with CK and NPK treatment, treatments of M, MNP, and MNPK significantly changed soil bacterial community structure, and increased the relative abundance of Fusobacteria and Anaerobes. Four fertilization treatments increased the relative abundance of Bacteroidetes, and decreased the relative abundance of Actinomyces and Campylobacter, compared to CK. Soil pH was the most important factor affecting soil bacterial community structure. Fertilization-stimulated rare microbial taxa (Pumilomyces and Anaerobes) were more sensitive to changes in different environmental factors and were the main drivers of the formation of community versatility. In conclusion, organic fertilizer improved soil properties and fertility and changed soil bacterial community structure, which are conducive to cultivating healthy soil.

A combination of all-trans retinoic acid derivative and COX-2 inhibitor has anticancer effects in human pharyngeal carcinoma cells.

Backgrounds and aims: Carcinogenesis is characterized by an unlimited growth of cells exacerbated by Cox-2 overexpression. Cox-2 inhibitors have been proven effective in preventing and treating tumors. In our previous studies, we found that 4-Amino-2-Trifluoromethylphenyl Retinate (ATPR) induces cell apoptosis and inhibits cell proliferation to exhibit anti-cancer properties. The use of ATRA as well as Cox-2 inhibitors in clinical settings can cause adverse reactions. It is unknown what the effects and mechanisms of co-administration of ATPR and Cox-2 inhibitors are. Results: A combination of ATPR and Cox-2 inhibitors, Celecoxib, inhibited pharyngeal cancer cell proliferation in vitro and induced apoptosis. The cell cycle was arrested at G0/G1 by activating P53 and CDNA1. By activating MAPK/JNK pathways, ATPR and Celecoxib led to intrinsic and extrinsic apoptosis in pharyngeal cancer cells. ATPR/Celecoxib combined treatment suppressed tumor growth in the pharyngeal cancer cell-derived xenograft mouse model by increasing the number of apoptotic cells. The expression of the RARA and PTGS2 genes was significantly increased in tumor tissue compared to non-tumor tissue in the clinical analysis of the head and neck squamous cell carcinoma dataset. An association was found between this and the level of intrinsic apoptotic signals. Furthermore, a survival analysis conducted over a period of five years indicated that higher levels of RARA expression were associated with a better clinical outcome. Conclusion: ATPR and celecoxib inhibit the proliferation of cancer cells as well as induce apoptosis. Co-administration of ATPR and Cox-2 inhibitors has the potential to be a novel treatment plan for cancer.