An Explainable Artificial Intelligence Model to Predict Malignant Cerebral Edema after Acute Anterior Circulating Large Hemisphere Infarction.

INTRODUCTION: Malignant cerebral edema (MCE) is a serious complication and the main cause of poor prognosis in patients with large-hemisphere infarction (LHI). Therefore, the rapid and accurate identification of potential patients with MCE is essential for timely therapy. This study utilized an artificial intelligence-based machine learning approach to establish an interpretable model for predicting MCE in patients with LHI. METHODS: This study included 314 patients with LHI not undergoing recanalization therapy. The patients were divided into MCE and non-MCE groups, the extreme Gradient boosting (XGBoost) model was developed. A confusion matrix was used to measure the prediction performance of the XGBoost model. We also utilized the SHapley Additive extension (SHAP) method to explain the XGBoost model. Decision curve analysis and receiver operating characteristic (ROC) curve were performed to evaluate the net benefits of the model. RESULTS: MCE was observed in 121(38.5%) of the 314 patients with LHI. The model showed excellent predictive performance, with an area under the curve of 0.916. The SHAP method revealed the top 10 predictive variables of the MCE such as ASPECTS score, NIHSS score, CS score, APACHE II score, HbA1c, AF, NLR, PLT, GCS and Age based on their importance ranking. CONCLUSION: An interpretable predictive model can increase transparency and help doctors accurately predict the occurrence of MCE in LHI patients, not undergoing recanalization therapy within 48h from onset, providing patients with better treatment strategies and enabling optimal resource allocation.

Short-term lifestyle education on obesity reduction in adolescents.

Backgrounds: Obesity is increasing in adolescents in China. However, the awareness of obesity and prevention on related risk factors were not well known. We aim to assess the effectiveness of short-term health education intervention on obesity in Chinese adolescents. Methods: In this study, 42 primary and secondary schools from Qingdao were randomly divided into the education and control groups. A total of 11,739 adolescents was included in the current study. The logistic regression was employed to assess odds ratio (OR) of education intervention on overweight and obesity prevalence adjusting for covariates. Results: The baseline prevalence of overweight and obesity was significantly higher in urban than in rural areas and in boys than in girls. After 1 year lifestyle intervention, the proportion of students with awareness of obesity was higher, meanwhile age-adjusted mean values of weight, body mass index, duration of watching TV and doing homework were lower in education group than control group. The corresponding figures were 43.6 [95% CI (confidence intervals); 43.3-43.9] kg versus 44.3 (95% CI; 44.0-44.6) kg, 18.6 (95% CI; 18.5-18.7) kg/m2 versus 18.9 (95% CI; 18.8-19.1) kg/m2, 1.3 (95% CI; 1.2-1.3) hours/d versus 1.4 (95% CI; 1.3-1.4) hours/d, and 1.5 (95% CI; 1.4-1.5) hours/d versus 1.8 (95% CI, 1.7-1.8) hours/d. The multivariable adjusted OR for combined prevalence of overweight and obesity was 0.85 (95% CI, 0.76-0.96) in education group as compared with control group. Conclusion: Short-term health education intervention results in significantly higher reductions in obesity parameters and improvement in awareness in Chinese adolescents.

[Incidence and risk factors of deep vein thrombosis in patients with rheumatoid arthritis].

OBJECTIVE: To investigate the incidence and risk factors of deep vein thrombosis (DVT) in patients with rheumatoid arthritis (RA). METHODS: The clinical data of RA patients who were hospi-talized in the Department of Rheumatology and Immunology of Aerospace Center Hospital from May 2015 to September 2021 was retrospectively analyzed, including demographic characteristics, concomitant diseases, laboratory examinations (blood routine, biochemistry, coagulation, inflammatory markers, rheumatoid factor, antiphospholipid antibodies and lupus anticoagulant, etc.) and treatment regimens. The patients were compared according to the presence or absence of DVT, and the t test, Mann-Whitney U test or Chi-square test were applied to screen for relevant factors for DVT, followed by Logistic regression analysis to determine risk factors for DVT in patients with RA. RESULTS: The incidence of DVT in the RA patients was 9.6% (31/322); the median age of RA in DVT group was significantly older than that in non-DVT group [64 (54, 71) years vs. 50 (25, 75) years, P < 0.001]; the level of disease activity score using 28 joints (DAS28)-erythrocyte sedimentation rate (ESR) in DVT group was higher than that in non-DVT group [5.2 (4.5, 6.7) vs. 4.5(4.5, 5.0), P < 0.001]; the incidence of hypertension, chronic kidney disease, fracture or surgery history within 3 months, and varicose veins of the lower extremities in DVT group was higher than that in non-DVT group (P < 0.001). The levels of hemoglobin and albumin in DVT group were significantly lower than that in non-DVT group (P=0.009, P=0.004), while the D-dimer level and rheumatoid factor positive rate in DVT group were significantly higher than that in non-DVT group (P < 0.001). The use rate of glucocorticoid in DVT group was higher than that in non-DVT group (P=0.009). Logistic regression analysis showed that the age (OR=1.093, P < 0.001), chronic kidney disease (OR=7.955, P=0.005), fracture or surgery history within 3 months (OR=34.658, P=0.002), DAS28-ESR (OR=1.475, P=0.009), and the use of glucocorticoid (OR=5.916, P=0.003) were independent risk factors for DVT in RA patients. CONCLUSION: The incidence of DVT in hospitalized RA patients was significantly increased, in addition to traditional factors, such as age and chronic kidney disease, increased DAS28-ESR level and the use of glucocorticoid were also independent risk factors for DVT.

Olink proteomics analysis uncovers inflammatory proteins in patients with different states of bipolar disorder.

STUDY DESIGN: A prospective study. BACKGROUND: This study aims to investigate the relationship between different states of bipolar disorder (BD) and plasma inflammatory proteins, which may be used as their biomarkers. MATERIALS AND METHODS: We totally collected admission plasma from 16 healthy subjects and 32 BD patients, including 16 patients with BD manic episodes (BD-M) and 16 patients with BD depressive episodes (BD-D). Ten samples in each group were analyzed by proximity extension assays of 92 inflammation-related proteins, and all samples were verified by ELISA. Receiver-operating characteristic (ROC) curve analysis was performed to identify the diagnostic ability and cut-off values of potential biomarkers. RESULTS: Our findings showed that BD patients had significantly higher levels of IL6, MCP-1, TGF-α, IL8, and IL10-RB in comparison with healthy subjects, and their cut-off values were 0.531 pg/ml, 0.531 pg/ml, 0.469 pg/ml, 0.406 pg/ml, and 0.406 pg/ml, respectively. The levels of IL6, MCP-1, TGF-α, and IL8 in BD-M patients were significantly greater than in healthy individuals, and their cut-off values were 0.813 pg/ml, 0.688 pg/ml, 0.438 pg/ml, and 0.625 pg/ml, respectively. Moreover, we found cut-off values of 0.500 pg/mL and 0.688 ng/mL for TGF-α and ß-NGF, respectively, even though the levels in the BD-D group were much higher than in the control group. Furthermore, BD-M patients had significantly higher levels of IL6, FGF-19, IFN-γ, and IL-17C in comparison with BD-D patients. Likewise, 0.687 pg/ml, 0.500 pg/ml, 0.438 pg/ml, and 0.375 pg/ml were their cut-off values, respectively. Our findings also showed that the combination of these proteins had the highest diagnostic accuracy. CONCLUSIONS: Our findings showed that plasma inflammatory proteins were related to BD and its subtypes, which may be utilized as potential biomarkers of different stages of BD. Furthermore, we also found their cut-off values and their combinations to have the highest diagnostic accuracy, providing clinicians with a new method to rapidly differentiate BD and its subtypes and manage early targeted interventions.

Chemical Characterization of Honeysuckle Polyphenols and Their Alleviating Function on Ultraviolet B-Damaged HaCaT Cells by Modulating the Nrf2/NF-κB Signaling Pathways.

Scientific evidence attests that the epidermis receives excessive ultraviolet B (UVB) radiation, triggering the generation of substantial quantities of reactive oxygen species (ROS), which disrupted the delicate equilibrium of oxidation-reduction, leading to oxidative stress and inflammation. The historical use of honeysuckle polyphenols (HPs) has garnered our attention due to their efficacy in inhibiting oxidative damage. In this study, HPs were prepared from honeysuckle flowers employing an ultrasonic-assisted extraction method and quantitatively analyzed by a LC-MS/MS, and the mechanisms underlying HPs' antioxidative and anti-inflammatory effects on a UVB-irradiated HaCaT cell model were systematically investigated. The results showed that HPs had a significant cellular repair effect on UVB-irradiated HaCaT cells (p < 0.001). The mechanism of action indicated that HPs could allow Nrf2 to enter the nucleus by regulating the dissociation of Nrf2 from Keap1, which further increases the activity of downstream proteases (SOD and CAT), increases ROS scavenging, and reduces the intracellular malondialdehyde (MDA) level. In addition, HPs could down-regulate Toll-like receptor 4 (TLR4) and inhibit NF-κB (P65) dissociating from IκBα, resulting in a decrease in NF-κB (P65) entry into the nucleus and a decrease in inflammatory factors (TNF-α, IL-6, and IL-1ß). In addition, four key compounds in HPs, including chlorogenic acid, quercetin, isorhamnetin, and luteolin, were selected to verify the mechanism of HPs repairing UVB damage using molecular docking techniques. The experiment suggested that four key active compounds could effectively occupy the Kelch homologue (Kelch) structural domain of Keap1, competitively bind with Nrf2, and facilitate the promotion of Nrf2 binding, ultimately enhancing the translocation of Nrf2 into the nucleus. In addition, four key active compounds could effectively interact with NF-κB (P65) through hydrogen bonding, van der Waals forces, and electrostatic forces to inhibit its entry into the nucleus. In summary, HPs can effectively repair the damage of HaCaT cells by UVB radiation and can be used to develop health and cosmetic products for the treatment of UV radiation-induced diseases.

Preliminary investigation on the analysis of the whole components of Pogejiuxin decoction and its formulation pattern based on ultrahigh-performance liquid chromatography with quadrupole time-of-flight mass spectrometry.

RATIONAL: Pogejiuxin decoction (PGJXD) is one of the most important formulas for the treatment of heart failure. However, there is a great lack of research on the material basis of this formula, especially research on its compatibility laws, which restricts its clinical use. Studying the complete ingredients and compatibility rules of PGJXD has great significance for guiding clinical medication. METHODS: The entire formula, the major single herbs, the drug pairs and the disassembled formula were analyzed by ultrahigh-performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UHPLC/QTOFMS/MS), matching the chemical composition database and global natural product social molecular networking to explain the chemical composition as well as the combination pattern of PGJXD. RESULTS: A total of 1048 chemical constituents were fully analyzed from the major single herbs, the drug pairs and the disassembled formula and 188 chemical constituents, including 13 potential novel compounds, were firstly identified from the whole formula. We found that the chemical compositions were reduced after the single herbs were matched to the other herbs, especially the significant reduction of highly toxic diester alkaloids after compatibility, indicating that the medicines of PGJXD were interdependent and controlled by each other. CONCLUSION: This study innovatively researches and compares the compositional differences between the entire formula of PGJXD, the single, paired and separated formulas, greatly extending our understanding of the chemical substance basis of these compounds, and preliminarily explores the compatibility laws of PGJXD, providing some theoretical guidance for clinical medication.

Multifunctional Metal-Organic Frameworks as Catalysts for Tandem Reactions.

Owing to well-defined structure as well as easy synthesis and modification, metal-organic frameworks (MOFs) have emerged as promising catalysts for tandem reactions. In this article, we aim to summarize the development of multifunctional MOFs, including mixed metal MOFs, MOFs that are synergistically catalyzed by metal nodes and organic linkers, MOFs loaded with metal nanoparticles, etc, as heterogenous catalysts for tandem reactions over the past five years. This concept briefly discusses on present challenges, future trends, and prospects of multifunctional MOFs catalysts in tandem reactions.

ANGPT2/CAV1 regulates albumin transcytosis of glomerular endothelial cells under high glucose exposure and is impaired by losartan / ANGPT2/CAV1 regula la transcitosis de la albúmina de las células endoteliales glomerulares bajo exposición a hiperglucemia, alterándose con la intervención de losartan

Background Microalbuminuria is a common clinical symptom that manifests in the early stages of diabetic kidney disease (DKD) and is also the main feature of glomerular endothelial cells (GECs) injury. There is increasing evidence that the transcytosis of albumin across GECs is closely related to the formation of albuminuria. Our previous studies have shown that angiopoietin 2 (ANGPT2) can inhibit albumin transcytosis across renal tubular epithelial cells by activating caveolin 1 (CAV1) phosphorylation during high glucose (HG) exposure. The role of ANGPT2 in albumin transcytosis across GECs remains unclear. Losartan significantly reduces albuminuria, but the mechanism has not been clarified. Methods We established an in vitro albumin transcytosis model to investigate the change in albumin transcytosis across human renal glomerular endothelial cells (hrGECs) under normal glucose (NG), high glucose (HG) and losartan intervention. We knocked down ANGPT2 and CAV1 to evaluate their roles in albumin transcytosis across hrGECs and verified the relationship between them. In vivo, DKD mouse models were established and treated with different doses of losartan. Immunohistochemistry and Western blot were used to detect the expression of ANGPT2 and CAV1. Results In vitro, the transcytosis of albumin across hrGECs was significantly increased under high glucose stimulation, and losartan inhibited this process. The expression of ANGPT2 and CAV1 were both increased in hrGECs under HG conditions and losartan intervention reduced the expression of them. Moreover, ANGPT2 downregulation reduced albumin transcytosis in hrGECs by regulating CAV1 expression. In vivo, the expression of ANGPT2 and CAV1 in the glomerulus was both increased significantly in DKD mice. Compared with DKD mice, losartan treatment reduced albuminuria and decreased the expression of ANGPT2 and CAV1 in a dose-dependent manner (AU)

Antecedentes La microalbuminuria es un síntoma clínico común que se manifiesta en las fases tempranas de la enfermedad renal diabética (ERD), y también es característica del daño de las células endoteliales glomerulares (GEC). Existe evidencia creciente en cuanto a que la transcitosis de la albúmina a través de las GEC está estrechamente relacionada con la formación de albuminuria. Nuestros estudios previos reflejaron que angiopoyetina 2 (ANGPT2) puede inhibir la transcitosis de la albúmina a través de las células epiteliales tubulares renales activando la fosforilación de caveolina 1 (CAV1) durante la exposición a hiperglucemia (HG). El rol de ANGPT2 en la transcitosis de la albúmina a través de las GEC resulta incierto. Losartan reduce considerablemente la albuminuria, aunque no se ha esclarecido el mecanismo. Métodos Establecimos un modelo in vitro de transcitosis de la albúmina para investigar el cambio de dicho mecanismo a través de las células endoteliales glomerulares renales humanas (hrGEC) en condiciones de glucosa normal (GN), hiperglucemia (HG) e intervención de losartan. Realizamos breakdown de ANGPT2 y CAV1 para evaluar sus roles en la transcitosis de la albúmina a través de las hrGEC, y verificamos la relación entre ellas. Se establecieron modelos in vivo de ratones con ERD, tratados con diferentes dosis de losartan. Se utilizaron pruebas de inmunohistoquímica e inmunotransferencia para detectar la expresión de ANGPT2 y CAV1. Resultados In vitro, la transcitosis de la albúmina a través de hrGEC se incrementó considerablemente en condiciones de estimulación de la hiperglucemia, inhibiendo losartan este proceso. La expresión de ANGPT2 y CAV1 se incrementó en las hrGEC en condiciones de HG, reduciendo la intervención de losartan la expresión de ambas (AU)

New polyketides from the starfish-derived symbiotic fungus Penicillium sp. GGF16-1-2.

One new rare carbon-bridged citrinin dimer quinocitrindimer C (1) as a pair of epimers, two new polyketide penicilliodes D (3) and E (4) together with nine known citrinin derivatives, were isolated from the fermentation broth of starfish-derived symbiotic fungus Penicillium sp. GGF16-1-2. Their structures and configurations were elucidated by comprehensively spectroscopic data analysis and electronic circular dichroism calculations. Eleven citrinin derivatives were tested by Colletotrichum gloeosporioides, and compound 2 played a significant antifungal activity against Colletotrichum gloeosporioides with LC50 value of 0.27 µg/ml.

Chiral phosphoric acid-catalyzed transfer hydrogenation of 3,3-difluoro-3H-indoles.

A convenient and efficient method for the synthesis of optically active difluoro-substituted indoline derivatives starting from the corresponding 3H-indoles by chiral phosphoric acid-catalyzed transfer hydrogenation was developed. Using Hantzsch ester as the hydrogen source under mild reaction conditions, the target products can be obtained with excellent yield and enantioselectivity.

An Umbrella Insight into the Phytochemistry Features and Biological Activities of Corn Silk: A Narrative Review.

Corn silk (Zea mays L.) is the stigma of an annual gramineous plant named corn, which is distributed in many regions worldwide and has a long history of medicinal use. In recent years, with the sustainable development of traditional Chinese medicine, studies of corn silk based on modern technologies, such as GC-MS, LC-MS, and other analytical means, have offered more comprehensive analyses. Phytochemistry studies have shown that the main bioactive components in corn silk include flavonoids, polyphenols, phenolic acids, fatty acids, and terpenoids. Pharmacological studies have shown that corn silk extract has various pharmacological effects, such as reducing blood lipids, lowering blood pressure, regulating blood sugar levels, anti-inflammatory effects, and anti-oxidation effects. In this paper, the related research on corn silk from the past few years is summarized to provide a theoretical reference for the further development and utilization of corn silk.

Reversible modulation of interlayer stacking in 2D copper-organic frameworks for tailoring porosity and photocatalytic activity.

The properties of two-dimensional covalent organic frameworks (2D COFs), including porosity, catalytic activity as well as electronic and optical properties, are greatly affected by their interlayer stacking structures. However, the precise control of their interlayer stacking mode, especially in a reversible fashion, is a long-standing and challenging pursuit. Herein, we prepare three 2D copper-organic frameworks, namely JNM-n (n = 7, 8, and 9). Interestingly, the reversible interlayer sliding between eclipsed AA stacking (i.e., JNM-7-AA and JNM-8-AA) and staggered ABC stacking (i.e., JNM-7-ABC and JNM-8-ABC) can be achieved through environmental stimulation, which endows reversible encapsulation and release of lipase. Importantly, JNM-7-AA and JNM-8-AA exhibit a broader light absorption range, higher charge-separation efficiency, and higher photocatalytic activity for sensitizing O2 to 1O2 and O2•- than their ABC stacking isostructures. Consequently, JNM-8-AA deliver significantly enhanced photocatalytic activities for oxidative cross-coupling reactions compared to JNM-8-ABC and other reported homogeneous and heterogeneous catalysts.

Comprehensive pan-cancer analysis unveils the significant prognostic value and potential role in immune microenvironment modulation of TRIB3.

TRIB3, a pseudokinase, was previously studied within only some specific cancer types, leaving its comprehensive functions in pan-cancer contexts largely unexplored. Here, we performed an integrated analysis of TRIB3 expression, prognosis, genetic alterations, functional enrichment and tumor immune-related characteristics in 33 cancer types. Our results showed that TRIB3 exhibits high expression levels across 24 different cancer types and correlates closely with unfavorable prognoses. Meanwhile, TRIB3 shows mutations in a wide spectrum of 22 distinct cancer types, with the predominant mutation types being missense mutations and gene amplifications, and significant changes in DNA methylation levels in 14 types of cancer. We further discovered that TRIB3 expression is significantly associated with cancer immune-related genome mutations, such as tumor mutational burden (TMB), microsatellite instability (MSI) and DNA mismatch repair (MMR), and infiltration of immunosuppressive cells, such as CD4+ Th2 cells and myeloid-derived suppressor cells (MDSCs), into the tumor microenvironment. These results indicated that the expression of TRIB3 might reshape the tumor immune microenvironment (TIME) and lead to immunosuppressive "cold" tumors. In addition, our results confirmed that the loss of function of TRIB3 inhibits cell proliferation, promotes apoptosis, and leads to significant enrichment of "hot" tumor-related immune pathways, at least in breast cancer cells, which further supports the important role of TRIB3 in cancer prognosis and TIME regulation. Together, this pan-cancer investigation provided a comprehensive understanding of the critical role of TRIB3 in human cancers, and suggested that TRIB3 might be a promising prognostic biomarker and a potential target for cancer immunotherapy.

Characterizing adjuvants' effects at murine immunoglobulin repertoire level.

Generating large-scale, high-fidelity sequencing data is challenging and, furthermore, not much has been done to characterize adjuvants' effects at the repertoire level. Thus, we introduced an IgSeq pipeline that standardized library prep protocols and data analysis functions for accurate repertoire profiling. We then studied systemically effects of CpG and Alum on the Ig heavy chain repertoire using the ovalbumin (OVA) murine model. Ig repertoires of different tissues (spleen and bone marrow) and isotypes (IgG and IgM) were examined and compared in IGHV mutation, gene usage, CDR3 length, clonal diversity, and clonal selection. We found Ig repertoires of different compartments exhibited distinguishable profiles at the non-immunized steady state, and distinctions became more pronounced upon adjuvanted immunizations. Notably, Alum and CpG effects exhibited different tissue- and isotype-preferences. The former led to increased diversity of abundant clones in bone marrow, and the latter promoted the selection of IgG clones in both tissues.

Effects of digitalization on energy security risk: do financial development and environmental trade matter?

Trade in environmental goods and financial development may harness factors such as green investment, technological development, and renewable energy production, which are crucial in reducing energy security risks by diversifying energy sources. However, not many empirics have shed light on the impact of digitalization, environmental trade, and financial development on energy security risks in top energy-consuming countries. To fill this vacuum, this study intends to investigate the influence of digitalization, environmental trade, and financial development on energy security risk in top energy-consuming countries from 2003 to 2021. The study employs the 2SLS and GMM estimates for empirical estimation of top energy-consuming developed and developing economies. The results show that ICT negatively affects energy security risks in developed economies. The findings of the analysis also suggest that environmental trade and financial development cause energy security risks to be reduced in both developed and developing economies. Likewise, the energy security risks in both developed and developing nations are mitigated by ICT, GDP, carbon emissions, and renewable energy production. In contrast, the energy security risks are escalated by the rise in natural resource rents. In order to fully capitalize on the potential advantages of these elements and eventually ensure a more sustainable and secure energy future, governments, businesses, and financial institutions must work together.

Preparation and application of hemostatic microspheres containing biological macromolecules and others.

Bleeding from uncontrollable wounds can be fatal, and the body's clotting mechanisms are unable to control bleeding in a timely and effective manner in emergencies such as battlefields and traffic accidents. For irregular and inaccessible wounds, hemostatic materials are needed to intervene to stop bleeding. Hemostatic microspheres are promising for hemostasis, as their unique structural features can promote coagulation. There is a wide choice of materials for the preparation of microspheres, and the modification of natural macromolecular materials such as chitosan to enhance the hemostatic properties and make up for the deficiencies of synthetic macromolecular materials makes the hemostatic microspheres multifunctional and expands the application fields of hemostatic microspheres. Here, we focus on the hemostatic mechanism of different materials and the preparation methods of microspheres, and introduce the modification methods, related properties and applications (in cancer therapy) for the structural characteristics of hemostatic microspheres. Finally, we discuss the future trends of hemostatic microspheres and research opportunities for developing the next generation of hemostatic microsphere materials.

Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges.

Early clinical diagnosis, effective intraoperative guidance, and an accurate prognosis can lead to timely and effective medical treatment. The current conventional clinical methods have several limitations. Therefore, there is a need to develop faster and more reliable clinical detection, treatment, and monitoring methods to enhance their clinical applications. Raman spectroscopy is noninvasive and provides highly specific information about the molecular structure and biochemical composition of analytes in a rapid and accurate manner. It has a wide range of applications in biomedicine, materials, and clinical settings. This review primarily focuses on the application of Raman spectroscopy in clinical medicine. The advantages and limitations of Raman spectroscopy over traditional clinical methods are discussed. In addition, the advantages of combining Raman spectroscopy with machine learning, nanoparticles, and probes are demonstrated, thereby extending its applicability to different clinical phases. Examples of the clinical applications of Raman spectroscopy over the last 3 years are also integrated. Finally, various prospective approaches based on Raman spectroscopy in clinical studies are surveyed, and current challenges are discussed.

Channel Gating in Kalium Channelrhodopsin Slow Mutants.

Kalium channelrhodopsin 1 from Hyphochytrium catenoides (HcKCR1) is the first discovered natural light-gated ion channel that shows higher selectivity to K+ than to Na+ and therefore is used to silence neurons with light (optogenetics). Replacement of the conserved cysteine residue in the transmembrane helix 3 (Cys110) with alanine or threonine results in a >1,000-fold decrease in the channel closing rate. The phenotype of the corresponding mutants in channelrhodopsin 2 is attributed to breaking of a specific interhelical hydrogen bond (the "DC gate"). Unlike CrChR2 and other ChRs with long distance "DC gates", the HcKCR1 structure does not reveal any hydrogen bonding partners to Cys110, indicating that the mutant phenotype is likely caused by disruption of direct interaction between this residue and the chromophore. In HcKCR1_C110A, fast photochemical conversions corresponding to channel gating were followed by dramatically slower absorption changes. Full recovery of the unphotolyzed state in HcKCR1_C110A was extremely slow with two time constants 5.2 and 70 min. Analysis of the light-minus-dark difference spectra during these slow processes revealed accumulation of at least four spectrally distinct blue light-absorbing photocycle intermediates, L, M1 and M2, and a UV light-absorbing form, typical of bacteriorhodopsin-like channelrhodopsins from cryptophytes. Our results contribute to better understanding of the mechanistic links between the chromophore photochemistry and channel conductance, and provide the basis for using HcKCR1_C110A as an optogenetic tool.

Large-scale loss-of-function perturbations reveal a comprehensive epigenetic regulatory network in breast cancer.

OBJECTIVE: Epigenetic abnormalities have a critical role in breast cancer by regulating gene expression; however, the intricate interrelationships and key roles of approximately 400 epigenetic regulators in breast cancer remain elusive. It is important to decipher the comprehensive epigenetic regulatory network in breast cancer cells to identify master epigenetic regulators and potential therapeutic targets. METHODS: We employed high-throughput sequencing-based high-throughput screening (HTS2) to effectively detect changes in the expression of 2,986 genes following the knockdown of 400 epigenetic regulators. Then, bioinformatics analysis tools were used for the resulting gene expression signatures to investigate the epigenetic regulations in breast cancer. RESULTS: Utilizing these gene expression signatures, we classified the epigenetic regulators into five distinct clusters, each characterized by specific functions. We discovered functional similarities between BAZ2B and SETMAR, as well as CLOCK and CBX3. Moreover, we observed that CLOCK functions in a manner opposite to that of HDAC8 in downstream gene regulation. Notably, we constructed an epigenetic regulatory network based on the gene expression signatures, which revealed 8 distinct modules and identified 10 master epigenetic regulators in breast cancer. CONCLUSIONS: Our work deciphered the extensive regulation among hundreds of epigenetic regulators. The identification of 10 master epigenetic regulators offers promising therapeutic targets for breast cancer treatment.

Screening and investigation of a short antimicrobial peptide: AVGAV.

Bacterial resistance to various drugs is a major problem concerning the field of antibacterial agents. Fortunately, peptides with antibacterial activity can alleviate this problem. In this study, a short peptide (AVGAV) with excellent antibacterial activity was successfully screened from a peptide library by a self-made membrane chromatographic packing. The AVGAV peptide exhibits good biocompatibility and is non-toxic and non-irritating, which ensures that it presents safe antibacterial effects. AVGAV promoted wound healing in a mouse wound bacterial infection model. Most importantly, as a synthetic antimicrobial peptide, AVGAV can alleviate the problem of bacterial resistance, thus improving its application potential. This study provides a solution to the existing and potential problem of bacterial resistance.