Self-Assembled Monolayers for Interfacial Engineering in Solution-Processed Thin-Film Electronic Devices: Design, Fabrication, and Applications.

Interfacial engineering has long been a vital means of improving thin-film device performance, especially for organic electronics, perovskites, and hybrid devices. It greatly facilitates the fabrication and performance of solution-processed thin-film devices, including organic field effect transistors (OFETs), organic solar cells (OSCs), perovskite solar cells (PVSCs), and organic light-emitting diodes (OLEDs). However, due to the limitation of traditional interfacial materials, further progress of these thin-film devices is hampered particularly in terms of stability, flexibility, and sensitivity. The deadlock has gradually been broken through the development of self-assembled monolayers (SAMs), which possess distinct benefits in transparency, diversity, stability, sensitivity, selectivity, and surface passivation ability. In this review, we first showed the evolution of SAMs, elucidating their working mechanisms and structure-property relationships by assessing a wide range of SAM materials reported to date. A comprehensive comparison of various SAM growth, fabrication, and characterization methods was presented to help readers interested in applying SAM to their works. Moreover, the recent progress of the SAM design and applications in mainstream thin-film electronic devices, including OFETs, OSCs, PVSCs and OLEDs, was summarized. Finally, an outlook and prospects section summarizes the major challenges for the further development of SAMs used in thin-film devices.

AMG232 inhibits angiogenesis in glioma through the p53-RBM4-VEGFR2 pathway.

AMG232 effectively inhibits cancers with wild-type p53 (also known as TP53) by reactivating p53, but whether it inhibits glioma angiogenesis remains unclear. This study confirms that AMG232 inhibits the proliferation of glioma endothelial cells (GECs) in a dose-dependent manner and inhibits the angiogenesis of GECs. p53 and RNA-binding motif protein 4 (RBM4) were expressed at low levels in GECs, while MDM2 and vascular endothelial growth factor receptor 2 (VEGFR2, also known as KDR) were highly expressed. In vitro and in vivo experiments confirmed that AMG232 upregulated p53 and RBM4, and downregulated MDM2 and VEGFR2 by blocking the MDM2-p53 interaction. Both p53 silencing and RBM4 silencing significantly upregulated the expression of VEGFR2, promoted the proliferation, migration and tube formation of GECs, and reversed the effects of AMG232 on downregulating VEGFR2 and inhibiting the angiogenesis of GECs. AMG232 increased RBM4 expression by upregulating p53, and p53 bound to RBM4 and promoted its transcription. RBM4 bound to and shortened the half-life of VEGFR2, promoting its degradation. Finally, AMG232 produced a significant decrease in new vessels and hemoglobin content in vivo. This study proves that AMG232 inhibits glioma angiogenesis by blocking the MDM2-p53 interaction, in which the p53-RBM4-VEGFR2 pathway plays an important role.

A Hole-Selective Self-Assembled Monolayer for Both Efficient Perovskite and Organic Solar Cells.

Self-assembled monolayers (SAMs) emerging as promising hole-selective layers (HSLs) are advantageous for facile processability, low cost, and minimal material consumption in the fabrication of both perovskite solar cells (PSCs) and organic solar cells (OSCs). However, owing to the different nature between perovskites and organic semiconductors, few SAMs were reported to effectively accommodate both PSCs and OSCs at the same time. In this regard, a universally applicable SAM that can accommodate both perovskites and organic semiconductors could be desirable for simplifying cell manufacturing, especially from an industrial perspective. In this work, we designed a SAM, TDPA-Cl by introducing chlorinated phenothiazine as the headgroup and linking with anchor phosphonic acid through a butyl chain. The resulting dense SAM was carefully characterized in terms of molecular bonding, surface morphology, and packing density, and its functions in OSCs and PSCs were discussed from the aspects of interactions with the absorber layer, energy level alignment, and charge-selective dipoles. The PM6:Y6-based OSCs with TDPA-Cl SAM as the HSL showed a superior performance to those with PEDOT:PSS. Furthermore, the universality was proved with an efficiency of 17.4% in the D18:Y6 system. In PSCs, the TDPA-Cl-based devices delivered a better performance of 22.4% than the PTAA-based devices (20.8%) with improved processability and reproducibility. This work represents a SAM with reasonably good compromise between the differing requirements of OSCs and PSCs.

Constructing 3D flower-like S-scheme N-Bi2O2CO3/g-C3N4 heterojunction with enhanced photocatalytic performance.

Mineral processing wastewater contains a lot of organic matter and heavy metal ions, and poor self-degradation ability makes it a key treatment object in environmental treatment. Photocatalysis is a promising technology to efficiently mineralize refractory contaminants from wastewater. In this work, 3D flower-like S-scheme N-Bi2O2CO3/g-C3N4 heterostructures were successfully constructed by hydrothermal method with the auxiliary of ionic liquids. The photocatalytic experiments show that the catalytic activity of heterojunction photocatalysts was significantly higher than that of bare g-C3N4 and N-Bi2O2CO3 for the degradation of two pollutants. NBOC/CN-2 shows the highest photocatalytic performance, and the degradation efficiency of sodium isobutyl xanthate (SIBX) on NBOC/CN-2 is 1.85 and 3 times that of bare g-C3N4 and Bi2O2CO3, respectively. The degradation efficiency of m-Cresol on NBOC/CN-2 is 8.34 and 6.93 times that of bare g-C3N4 and N-Bi2O2CO3, respectively. This significantly enhanced photocatalytic activity is attributed to the formation of flower-like heterojunctions, which can greatly increase the specific surface area and facilitate the separation and migration of photogenerated carriers. Total organic carbon (TOC) experiment proves that the two pollutants are effectively mineralized under the action of the prepared photocatalyst. The degradation path of m-Cresol degradation products was inferred based on the ion fragments. The capture experiment and Nitro-blue tetrazolium (NBT)-•O2- measurement show that superoxide radical plays a major role in photocatalytic degradation. The outstanding stability of the prepared flower-like heterojunction samples was examined by cyclic experiments. The S-scheme charge transfer mechanism has been proposed to explain the boosted activity of the flower-like heterojunction photocatalyst. This work provides a new idea for the design of efficient and stable g-C3N4-based photocatalyst for the photocatalytic degradation of refractory wastewater.

Electrooxidation of chlorophene and dichlorophen by reactive electrochemical membrane: Key determining factors of removal efficiency.

This study systematically investigated the variable main electrooxidation mechanism of chlorophene (CP) and dichlorophen (DCP) with the change of reaction conditions at Ti4O7 anode operated in batch and reactive electrochemical membrane (REM) modes. Significant degradation of CP and DCP was observed, that is, CP exhibited greater removal efficiency in batch mode at 0.5-3.5 mA cm-2 and REM operation (0.5 mA cm-2) with a permeate flow rate of 0.85 cm min-1 under the same reaction conditions, while DCP exhibited a faster degradation rate with the increase of current density in REM operation. Density functional theory (DFT) simulation and electrochemical performance tests indicated that the electrooxidation efficiency of CP and DCP in batch mode was primarily affected by the mass transfer rates. And the removal efficiency when anodic potentials were less than 1.7 V vs SHE in REM operation was determined by the activation energy for direct electron transfer (DET) reaction, however, the adsorption function of CP and DCP on the Ti4O7 anode became a dominant factor in determining the degradation efficiency with the further increase of anodic potential due to the disappeared activation barrier. In addition, the degradation pathways of CP and DCP were proposed according to intermediate products identification and frontier electron densities (FEDs) calculation, the acute toxicity of CP and DCP were also effectively decreased during both batch and REM operations.

Identification of potential cell death-related biomarkers for diagnosis and treatment of osteoporosis.

BACKGROUND: This study aimed to identify potential biomarkers for the diagnosis and treatment of osteoporosis (OP). METHODS: Data sets were downloaded from the Gene Expression Omnibus database, and differentially programmed cell death-related genes were screened. Functional analyses were performed to predict the biological processes associated with these genes. Least absolute shrinkage and selection operator (LASSO), support vector machine (SVM), and random forest (RF) machine learning algorithms were used to screen for characteristic genes, and receiver operating characteristics were used to evaluate the diagnosis of disease characteristic gene values. Gene set enrichment analysis (GSEA) and single-sample GSEA were conducted to analyze the correlation between characteristic genes and immune infiltrates. Cytoscape and the Drug Gene Interaction Database (DGIdb) were used to construct the mitochondrial RNA-mRNA-transcription factor network and explore small-molecule drugs. Reverse transcription real-time quantitative PCR (RT-qPCR) analysis was performed to evaluate the expression of biomarker genes in clinical samples. RESULTS: In total, 25 differential cell death genes were identified. Among these, two genes were screened using the LASSO, SVM, and RF algorithms as characteristic genes, including BRSK2 and VPS35. In GSE56815, the area under the receiver operating characteristic curve of BRSK2 was 0.761 and that of VPS35 was 0.789. In addition, immune cell infiltration analysis showed that BRSK2 positively correlated with CD56dim natural killer cells and negatively correlated with central memory CD4 + T cells. Based on the data from DGIdb, hesperadin was associated with BRSK2, and melagatran was associated with VPS35. BRSK2 and VPS35 were expectably upregulated in OP group compared with controls (all p < 0.05). CONCLUSIONS: BRSK2 and VPS35 may be important diagnostic biomarkers of OP.

Efficient Perovskite Light-Emitting Diodes with Chemically Bonded Contact and Regulated Charge Behavior.

Efficient charge injection and radiative recombination are essential to achieving high-performance perovskite light-emitting diodes (Pero-LEDs). However, the perovskite emission layer (EML) and the electron transport layer (ETL) form a poor physically interfacial contact and non-negligible charge injection barrier, limiting the device performance. Herein, we utilize a phosphine oxide, 2,4,6-tris[3-(diphenylphosphinyl)phenyl]-1,3,5-triazine (PO-T2T), to treat the perovskite/ETL interface and form a chemically bonded contact. Specifically, PO-T2T firmly bonds on the perovskite's surface and grain boundaries through a dative bond, effectively passivating the uncoordinated lead defects. Additionally, PO-T2T has high electron mobility and establishes an electron transport highway to bridge the ETL and EML. As a result, a maximum external quantum efficiency (EQEmax) of 22.06% (average EQEmax of 20.02 ± 1.00%) and maximum luminance (Lmax) of 103286 cd m-2 have been achieved for the champion device. Our results indicate that EML/ETL interface modifications are crucial for the fabrication of highly efficient Pero-LEDs.

Causal associations between gut microbiota and sepsis: A two-sample Mendelian randomization study.

BACKGROUND: Targeting the gut microbiota may become a new therapeutic to prevent and treat sepsis. Nonetheless, the causal relationship between specific intestinal flora and sepsis is still unclear. METHODS: A two-sample Mendelian randomization study was performed using the summary statistics of gut microbiota from the largest available genome-wide association study (n = 18,340). The summary statistics of sepsis were obtained from the UK Biobank (n = 486,484). Inverse-variance weighted, weighted median and MR-Egger were used to examine the causal association between gut microbiota and sepsis. Cochrane's Q test, MR-Egger intercept test, MR-PRESSO Global test and Rucker's Q'-test were used for sensitivity analyses. The leave-one method was used for testing the stability of MR results, and Bonferroni-corrected was used to test the strength of the causal relationship between exposure and outcome. RESULTS: Nine intestinal microflora were found causally associated with sepsis, and 11 intestinal microflora were causally associated with 28-day death in sepsis. Among them, Order Victivallales had a strong causality with lower risk of sepsis (OR = 0.86, 95% CI: 0.78-0.94, p = .00165) and lower 28-day mortality of sepsis (OR = 0.68, 95% CI: 0.53-0.87, p = .00179) after Bonferroni-corrected test. No pleiotropy was detected. CONCLUSIONS: Through the two-sample MR analysis, we identified the specific intestinal flora that had a causal relationship with the risk and prognosis of sepsis at the level of gene prediction, which may provide helpful biomarkers for early disease diagnosis and potential therapeutic targets for sepsis.

Umbilical Cord Wharton's Jelly-Derived Mesenchymal Stem Cells Inhibit the TGF-ß1 Pathway in Hepatic Fibrosis Rats Through a Paracrine Regulation Process.

BACKGROUND: The aim is to verify the therapeutic effect and possible mechanism of human umbilical cord Wharton's jelly-derived transplantation of mesenchymal stem cells (UMSCs) on CCl4-induced hepatic fibrosis rats through in vivo studies and to explore the regulatory mechanism of UMSCs on fibrosis of hepatic stellate cells (HSCs) through in vitro experiments. METHODS: In vivo experiment: Rats were randomly divided into blank control group and hepatic fibrosis group. During the entire trial, the blank control group received subcutaneous injection of normal saline, while in the hepatic fibrosis group received injections of 50% CCl4-olive oil subcutaneously for 10 weeks to establish the rat model of liver fibrosis. Hepatic fibrosis rats were then randomly and evenly divided into umbilical cord mesenchymal stem cell (UMSC) group, bone marrow mesenchymal stem cell (BMSC) group, UMSC-culture medium (CM) group, and control group. Rats in each group were infused with the following substances through the caudal vein as follows: 1 mL UMSCs (2 × 106/mL) in UMSC group, 1 mL BMSCs (2 × 106/mL) in BMSC group, 1 mL UMSCs-CM in CM group, and 1 mL saline in control group. Rats of each group were closely observed (weight, hair condition, activity, appetite, diarrhea, etc.), venous blood samples were collected, the number of white blood cells and lymphocytes were measured, and liver function indicators (ALT, AST, TBIL, ALB) were determined. Three weeks later, rat liver specimens were taken, HE stained, pathological changes were examined and quantified. In vitro experiments: HSCs were seeded in 6-well plates at 1.0 × 105/mL, with a serum-free medium for 24 hours. Then, 2 mL of UMSCs-CM was added in the study group, while an equal amount of complete medium was added to the control group. RT-PCR was used to detect TGF-ß1, Collagen-I, TIMP-2 mRNA expression in HSCs, and western blot was used to detect TGF-ß1 protein expression in HSCs. RESULTS: In vivo experiment: Compared with the control group, after the transplantation, the activity status (weight, spirit, appetite, movement, hair, diarrhea, etc.) of rats in the UMSC group, BMSC group, and CM group were improved. The liver function indexes of these groups, such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), and total bilirubin (TBIL) were significantly decreased (p < 0.05), while albumin (ALB) levels were mildly but not significantly increased (p > 0.05). The Knodell score (reflecting the degree of liver inflammation) and Chevallier score (reflecting the degree of liver fibrosis) of liver specimens in pathological examination were also significantly reduced, and the difference in the quantitative scores of those indexes was statistically significant (p < 0.05). There was no statistically significant difference in the number of venous white blood cells and lymphocytes, liver function indexes (ALT, AST, TBIL, ALB), Knodell score, and Chevallier score of liver samples among the UMSC group, BMSC group, and CM group. In vitro experiments: After treatment with UMSCs-CM, the expression of TGF-ß1, Collagen-I, and TIMP-2 mRNA in HSCs was significantly down-regulated compared with that of the control group (treated with complete medium), and it gradually decreased with the extension of the treatment time. Compared with the control group, the expression of TGF-ß1 protein in the HSCs of the experimental group was down-regulated, and this effect was time-dependent, specifically, the control group (2.49 ± 0.43) > the experimental group at 48 hours (1.98 ± 0.26) > the experimental group at 72 hours (1.62 ± 0.20) (F = 7.796, p < 0.05). CONCLUSIONS: In rats with liver fibrosis, transplantation of UMSCs can improve liver function and reduce the inflammatory activity and fibrosis of the liver, possibly through the paracrine mechanism. UMSCs inhibit HSCs fibrosis through a paracrine mechanism, which is time-dependent, possibly by targeting TGF-ß1 and its downstream gene products.

Experience of the Postoperative Intensive Care Treatment of Stanford Type A Aortic Dissection.

Objective: To summarize the experience of the postoperative intensive care treatment of Stanford type A aortic dissection (STAAD) following Sun's procedure. Methods: A total of 124 patients with STAAD who underwent Sun's procedure from January 2014 to December 2021 at the General Hospital of Ningxia Medical University were retrospectively analyzed. All patients were admitted to the cardiac surgery intensive care unit (ICU) after surgery. According to the perioperative characteristics of the patients with STAAD, intensive care treatment was given to actively prevent the occurrence of postoperative complications. Results: In all the cases enrolled in this study, the causes of aortic dissection comprised hypertension (105 cases), trauma (six cases), Marfan's syndrome (six cases), and aorto-arteritis (seven cases). The history of past illnesses comprised hypertension (105 cases), coronary disease (25 cases), diabetes mellitus (16 cases), and chronic obstructive pulmonary disease (six cases). There were some preoperative complications, such as cardiac insufficiency, acute liver insufficiency, acute renal insufficiency, pleural effusion, pericardial effusion, pulmonary infection, lower limb ischemia, mesenteric arterial embolism, and digestive tract hemorrhage. The average cardiopulmonary bypass time was 186 ± 32.1 min, the aortic clamp time was 74 ± 12.8 min, the deep hypothermic circulatory arrest time was 21 ± 2.6 min, and the mechanical ventilation time was 34 ± 2.8 h. The average ICU and hospital residence times were 7 ± 1.6 days and 12 ± 3.6 days, respectively. Postoperative complications comprised hypoxemia (34 cases), pulmonary infections (22 cases), tracheostomy (four cases), cerebral hemorrhage (four cases), cerebral infarction (four cases), transient delirium (eight cases), secondary thoracotomies due to bleeding (two cases), alimentary tract hemorrhage (eight cases), and acute renal insufficiency (38 cases). There was no occurrence of hoarseness or chylothorax. There were 15 cases of death, and the total mortality rate was 12.1%. In four cases, the cause of death was one postoperative complication (3.2%), and in 11 cases, the cause of death was multiple postoperative complications (8.9%). The other patients were discharged from the hospital with a good prognosis for full recovery. Conclusion: Postoperative intensive care treatment was an important part of the successful surgical treatment of STAAD.

Machine-learning predictions for acute kidney injuries after coronary artery bypass grafting: a real-life muticenter retrospective cohort study.

BACKGROUND: Acute kidney injury (AKI) after coronary artery bypass grafting (CABG) surgery is associated with poor outcomes. The objective of this study was to apply a new machine learning (ML) method to establish prediction models of AKI after CABG. METHODS: A total of 2,780 patients from two medical centers in East China who underwent primary isolated CABG were enrolled. The dataset was randomly divided for model training (80%) and model testing (20%). Four ML models based on LightGBM, Support vector machine (SVM), Softmax and random forest (RF) algorithms respectively were established in Python. A total of 2,051 patients from two other medical centers were assigned to an external validation group to verify the performances of the ML prediction models. The models were evaluated using the area under the receiver operating characteristics curve (AUC), Hosmer-Lemeshow goodness-of-fit statistic, Bland-Altman plots, and decision curve analysis. The outcome of the LightGBM model was interpreted using SHapley Additive exPlanations (SHAP). RESULTS: The incidence of postoperative AKI in the modeling group was 13.4%. Similarly, the incidence of postoperative AKI of the two medical centers in the external validation group was 8.2% and 13.6% respectively. LightGBM performed the best in predicting, with an AUC of 0.8027 in internal validation group and 0.8798 and 0.7801 in the external validation group. The SHAP revealed the top 20 predictors of postoperative AKI ranked according to the importance, and the top three features on prediction were the serum creatinine in the first 24 h after operation, the last preoperative Scr level, and body surface area. CONCLUSION: This study provides a LightGBM predictive model that can make accurate predictions for AKI after CABG surgery. The LightGBM model shows good predictive ability in both internal and external validation. It can help cardiac surgeons identify high-risk patients who may experience AKI after CABG surgery.

Conductive Phosphine Oxide Passivator Enables Efficient Perovskite Light-Emitting Diodes.

Recently, surface passivation has been proved to be an essential approach for obtaining efficient and stable perovskite light-emitting diodes (Pero-LEDs). Phosphine oxides performed well as passivators in many reports. However, the most commonly used phosphine oxides are insulators, which may inhibit carrier transport between the perovskite emitter and charge-transporter layers, limiting the corresponding device performance. Here, 2,7-bis(diphenylphosphoryl)-9,9'-spirobifluorene (SPPO13), a conductive molecule with two phosphine oxide functional groups, is introduced to modify the perovskite emitting layer. The bifunctional SPPO13 can passivate the nonradiative defects of perovskite and promote electron injection at the interface of perovskite emitter and electron-transporter layers. As a result, the corresponding Pero-LEDs obtain a maximum external quantum efficiency (EQE) of 22.3%. In addition, the Pero-LEDs achieve extremely high brightness with a maximum of around 190 000 cd/m2.

Creating Unidirectional Fast Ion Diffusion Channels in G/NiS2 -MoS2 Heterostructures for High-Performance Sodium-Ion Batteries.

Exploring novel electrode composites and their unique interface physics plays a significant role in tuning electrochemical properties for boosting the performance of sodium-ion batteries (SIBs). Herein, mixed-dimensional G/NiS2 -MoS2 heterostructures are synthesized in a low-cost meteorological vulcanization process. The stable graphene supporting layer and nanowire heterostructure guarantee an outstanding structural stability to tolerate certain volume changes during the charge/discharge process. The rational construction of NiS2 -MoS2 heterostructures induces abundant interfaces and unique ion diffusion channels, which render fast electrochemical kinetics and superior reversible capacities for high-performance SIBs. Interestingly, theoretical studies reveal that the anisotropic diffusion barriers create unidirectional "high-speed" channels, which can lead to ordered and fast Na+ insertion/extraction in designed heterostructures. G/NiS2 -MoS2 anode exhibits a high capacity of 509.6 mA h g-1 after 500 cycles and a coulombic efficiency >99% at 0.5 A g-1 , which also displays excellent cycling performance with the capacity of 383.8 mA h g-1 after the 1000 cycles at 5 A g-1 . Furthermore, full cells are constructed exhibiting a high capacity of 70 mA h g-1 at 0.1 A g-1 after 150 cycles and applied to light LEDs. This study provides a feasible strategy of constructing mixed-dimensional heterostructures for SIBs with excellent performance and a long service lifetime.

Interface Engineering in Organic Field-Effect Transistors: Principles, Applications, and Perspectives.

Heterogeneous interfaces that are ubiquitous in optoelectronic devices play a key role in the device performance and have led to the prosperity of today's microelectronics. Interface engineering provides an effective and promising approach to enhancing the device performance of organic field-effect transistors (OFETs) and even developing new functions. In fact, researchers from different disciplines have devoted considerable attention to this concept, which has started to evolve from simple improvement of the device performance to sophisticated construction of novel functionalities, indicating great potential for further applications in broad areas ranging from integrated circuits and energy conversion to catalysis and chemical/biological sensors. In this review article, we provide a timely and comprehensive overview of current efficient approaches developed for building various delicate functional interfaces in OFETs, including interfaces within the semiconductor layers, semiconductor/electrode interfaces, semiconductor/dielectric interfaces, and semiconductor/environment interfaces. We also highlight the major contributions and new concepts of integrating molecular functionalities into electrical circuits, which have been neglected in most previous reviews. This review will provide a fundamental understanding of the interplay between the molecular structure, assembly, and emergent functions at the molecular level and consequently offer novel insights into designing a new generation of multifunctional integrated circuits and sensors toward practical applications.

Heavy Mn-doped CsPbBr3nanocrystals synthesized by high energy ball milling with high stability.

CsPbX3(X = Cl, Br, I) semiconductor nanocrystals (NCs) have excellent optical and photoelectric properties, and are potential core materials for various photoelectric devices. However, the toxicity of Pb and instability have been the key limitations to application of NCs. Herein, using MnBr2and MnBr2·4H2O as manganese sources, heavy Mn-doped CsPbBr3(Mn:CsPbBr3) NCs are synthesized by high-energy ball grinding, which avoids high temperature, a large number of polar solvents and atmosphere protection required in traditional liquid phase methods. However, when MnBr2·4H2O is used as the raw material, infinite solid solution doping can be achieved, and the synthesized Mn:CsPbBr3NCs show smaller particle size, stronger PL intensity and stability. The reason is that presence of crystal water plays a similar role to wet milling in the ball milling process, and can promote the passivation effect of oleylamine (OAm) on nanocrystal defects and the connection between them. In addition, a simple, easy-operating and beneficial to commercial production method for the preparation of Mn:CsPbBr3NCs/EVA flexible films is proposed, which can effectively improve the stability of Mn:CsPbBr3NCs. This study is expected to provide an effective way for the synthesis and stability improvement of CsPbX3NCs doped with different ions.

Elevated blood urea nitrogen-to-creatinine ratio increased the risk of Coronary Artery Disease in patients living with type 2 diabetes mellitus.

BACKGROUND: High Blood Urea Nitrogen (BUN) and high Serum Creatinine (SCr) levels are risk factors for Coronary Artery Disease (CAD). However, the relationship between the Blood Urea Nitrogen to Creatinine (BUN/SCr) ratio (UCR) and the risk of CAD in patients living with new-onset diabetes is unclear. This study aimed to examine the relationship between blood UCR and the risk of CAD in patients living with new-onset type 2 diabetes mellitus (T2DM). METHODS: We analyzed the data from the cohort of 12,299 patients living with type 2 diabetes mellitus. Primary endpoints were the events of CAD. The ANOVA test (continuous indicators) and χ2 test (categorical indicators) were used to assess the differences of baseline characteristics across the groups of UCR. In order to understand the correlation between variables, we performed correlation analysis on variables that have significant differences between CAD group and non-CAD group. Multivariate-adjusted Cox proportional hazard regression models were applied to estimate the association of the blood UCR with the risk of CAD in patients living with T2DM. The Kaplan-Meier survival function plotting and the log-rank test were used to evaluate the event-free survival according to the groups of UCR. The restricted cubic spline model was used to show the adjusted association between blood UCR and risk of CAD in patients living with T2DM. RESULTS: During a median follow-up of 2.66 years, 1173 CAD were recorded with an event rate of 28.49 events per 1000 person-years. In multivariate-adjusted Cox regression models, elevated blood urea nitrogen to creatinine ratio (UCR) was associated with higher risk of CAD in patients living with T2DM [hazard ratio (HR), 1.782; 95% confidence interval (CI), 1.237-2.567]. The Kaplan-Meier survival curves indicated that the high group of UCR tended to have a lower event-free survival than the low group and medium group. There was a nonlinear trend toward increasing risk of CAD across the groups of UCR. And cubic spline function graph suggested that the influence of UCR level on HR for CAD increased significantly at UCR levels above 6.67. CONCLUSIONS: An elevated UCR was significantly associated with an increased risk for CAD in patients living with T2DM.

Identification of a novel four-gene diagnostic signature for patients with sepsis by integrating weighted gene co-expression network analysis and support vector machine algorithm.

Sepsis is a life-threatening condition in which the immune response is directed towards the host tissues, causing organ failure. Since sepsis does not present with specific symptoms, its diagnosis is often delayed. The lack of diagnostic accuracy results in a non-specific diagnosis, and to date, a standard diagnostic test to detect sepsis in patients remains lacking. Therefore, it is vital to identify sepsis-related diagnostic genes. This study aimed to conduct an integrated analysis to assess the immune scores of samples from patients diagnosed with sepsis and normal samples, followed by weighted gene co-expression network analysis (WGCNA) to identify immune infiltration-related genes and potential transcriptome markers in sepsis. Furthermore, gene regulatory networks were established to screen diagnostic markers for sepsis based on the protein-protein interaction networks involving these immune infiltration-related genes. Moreover, we integrated WGCNA with the support vector machine (SVM) algorithm to build a diagnostic model for sepsis. Results showed that the immune score was significantly lower in the samples from patients with sepsis than in normal samples. A total of 328 and 333 genes were positively and negatively correlated with the immune score, respectively. Using the MCODE plugin in Cytoscape, we identified four modules, and through functional annotation, we found that these modules were related to the immune response. Gene Ontology functional enrichment analysis showed that the identified genes were associated with functions such as neutrophil degranulation, neutrophil activation in the immune response, neutrophil activation, and neutrophil-mediated immunity. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed the enrichment of pathways such as primary immunodeficiency, Th1- and Th2-cell differentiation, T-cell receptor signaling pathway, and natural killer cell-mediated cytotoxicity. Finally, we identified a four-gene signature, containing the hub genes LCK, CCL5, ITGAM, and MMP9, and established a model that could be used to diagnose patients with sepsis.

The anti-fatigue activity of corn peptides and their effect on gut bacteria.

BACKGROUND: Corn peptides (CPs) are rich in branched-chain amino acids such as leucine and have a variety of biological activities such as antioxidant and improved lipid distribution. In this article, we prepared CPs by enzymatic digestion of corn proteins and evaluated their anti-fatigue activity. RESULTS: We evaluated the anti-fatigue effect of CPs through an exhaustive swimming experiment. The results showed that CPs were able to significantly reduce the rate of body weight gain and prolong the duration of exhaustive swimming. Besides, CPs reduced blood urea nitrogen (BUN) levels after exercise, while they significantly increased muscle glycogen and liver glycogen stores. They reduced muscle cell damage from exercise. In addition, CPs were effective in increasing AMPK, PGC-1α and PI3K protein expression levels and promoting Akt phosphorylation. Correlation analysis showed that CPs increased the abundance of probiotics such as Lactobacillus and Akkermansia in the gut microflora. CONCLUSION: CPs, which enhanced exercise performance in mice and could modulate gut microbial composition, had significant anti-fatigue activity. © 2021 Society of Chemical Industry.

π-Expanded Carbazoles as Hole-Selective Self-Assembled Monolayers for High-Performance Perovskite Solar Cells.

Carbazole-derived self-assembled monolayers (SAMs) are promising hole-selective materials for inverted perovskite solar cells (PSCs). However, they often possess small dipoles which prohibit them from effectively modulating the workfunction of ITO substrate, limiting the PSC photovoltage. Moreover, their properties can be drastically affected by even subtle structural modifications, undermining the final PSC performance. Here, we designed two carbazole-derived SAMs, CbzPh and CbzNaph through asymmetric or helical π-expansion for improved molecular dipole moment and strengthened π-π interaction. The helical π-expanded CbzNaph has the largest dipole, forming densely packed and ordered monolayer, facilitated by the highly ordered assembly observed in its π-scaffold's single crystal. These synergistically modulate the perovskite crystallization atop and tune the ITO workfunction. Consequently, the champion PSC employing CbzNaph showed an excellent 24.1 % efficiency and improved stability.

A Formaldehyde Sensor Based on Self-Assembled Monolayers of Oxidized Thiophene Derivatives.

High-performance formaldehyde sensors play an important role in air quality assessment. Herein, a self-assembled monolayer (SAM) sensor for trace formaldehyde (FA) is fabricated based on the fluorescence enhancement of oxidized thiophene derivatives. In the primary SAM molecules, the functional backbone trithiophene (3T) links to the anchor through an n-propyl group. The anchor with an active Si-Cl bond can form a covalent bond with the SiO2 substrate by solution incubation, which ensures good stability against organic solvents and high sensitivity via monolayer structures. With the alkyl chain's leading, a dense 3T SAM can be obtained on SiO2. Upon exposure to UV light in the presence of oxygen, 3T can be oxidized into a nonfluorescent but coordination-active product with abundant carbonyl groups, which can be doped with FA and induce a blueshifted fluorescence. With this mechanism, we proposed an SAM-based FA sensor by detecting the enhancement of the blueshifted fluorescence. Reliable reversibility, selectivity, stability, and detection limit lower than 1 ppm are achieved in this system. The work provides an experimental basis for developing a cheap, efficient, and flexible sensor for trace FA detection.