Transcutaneous electrical acupoint stimulation for alleviating pain in patients with advanced pancreatic cancer.

INTRODUCTION: Pancreatic ductal adenocarcinoma is the fourth leading cause of cancer-related deaths globally, with a five-year survival rate of only 5%. OBJECTIVES: Pancreatic ductal adenocarcinoma is often fatal because of the lack of specific early symptoms and effective early screening tools. Therefore, 80%-85% of patients are usually diagnosed in the advanced stages. This study aimed to investigate the analgesic effect of transcutaneous electrical acupoint stimulation in patients with advanced pancreatic cancer. METHODS: Eighty patients with advanced pancreatic cancer were recruited from the Integrative Medicine Department of our hospital between June 2017 and October 2018 and randomly divided into the experimental group (n = 40) and the control group (n = 40). The experimental group received transcutaneous electrical acupoint stimulation combined with analgesic medication for 3 consecutive days, while the control group received only analgesic medication. The pain scores of the two groups before and after intervention were compared. RESULTS: The mean pain severity score was significantly lower in the experimental group than in the control group on day 1 (P < 0.001), day 2 (P < 0.001), day 3 (P = 0.005), and day 4 (P = 0.043). CONCLUSION: Transcutaneous electrical acupoint stimulation therapy effectively alleviates the pain of patients with advanced pancreatic cancer with a high degree of safety and minimal adverse effects, and is worthy of clinical application.

Filter-Less Color-Selective Photodetector Derived from Integration of Parallel Perovskite Photoelectric Response Units.

Color-selective photodetectors (PDs) play an indispensable role in spectral recognition, image sensing, and other fields. Nevertheless, complex filters and delicate optical paths in such devices significantly increase their complexity and size, which subsequently impede their integration in smart optoelectronic chips for universal applications. This work demonstrates the successful fabrication of filter-less color-selective perovskite PDs by integrating three perovskite units with different photoresponse on a single chip. The variation in photoresponse is attributed to different quantities of SnO2 nanoparticles, synthesized through controlled ultrasonic treatment on the surface of the electron transportation layer SnS2, which selectively absorb short-wavelength light, thus increasing the relative transmittance of long-wavelength light and enhancing the photoresponse of the units to long wavelengths. By integrating any two units and deriving the formula for the wavelength to the responsivity ratio, a wavelength sensor is developed which can accurately identify incident light in the range of 400-700 nm with a minimum error <3 nm. Furthermore, the device integrating three units with different photoresponse can identify red, green and blue in polychromatic light to achieve color imaging with a relative error <6%. This work provides valuable insights into wavelength identification and color imaging of perovskite PDs.

[Prognostic Value of Prothrombin Time and Activated Partial Thromboplastin Time in Newly Diagnosed Patients with Multiple Myeloma].

OBJECTIVE: To evaluate the clinical and prognostic value of prothrombin time (PT) and activated partial thromboplastin time (APTT) in newly diagnosed patients with multiple myeloma (MM). METHODS: The clinical data of 116 newly diagnosed MM patients in the Second Hospital and Third Hospital of Shanxi Medical University from October 2014 to March 2022 were analyzed retrospectively, and the patients were divided into two groups: normal PT and APTT group and prolonged PT or APTT group. The differences in sex, age, classification, staging, bleeding events, laboratory indicators [including hemoglobin (Hb), platelet count (PLT), serum calcium, serum albumin (ALB), lactate dehydrogenase (LDH), serum creatinine and ß2-microglobulin], and cytogenetic characteristics between the two groups of patients were compared. The effect of prolonged PT or APTT on survival of patients with MM was analyzed. RESULTS: Compared with patients in normal PT and APTT group, patients in prolonged PT or APTT group were more likely to experience bleeding events (χ2=5.087, P =0.024), with lower ALB levels (χ2=4.962, P =0.026) and PLT levels (χ2=4.309, P =0.038), and higher serum calcium levels (χ2=5.056, P =0.025). The positive rates of del17p, del13q and 1q21+ in prolonged PT or APTT group were higher than those in normal PT and APTT group, but the difference was not statistically significant (P >0.05). K-M survival analysis showed that the prolonged PT or APTT group had a shorter median progression-free survival (PFS) (P =0.032) and overall survival (OS) (P =0.032). Multivariate Cox analysis showed that prolonged PT or APTT (HR=2.116, 95%CI :1.025-4.372, P =0.043) and age ≥65 years (HR=2.403, 95%CI : 1.195-4.836, P =0.014) were independent risk factor for OS in newly diagnosed MM patients. However, prolonged PT or APTT had no significant effect on PFS of newly diagnosed MM patients (HR=1.162, 95%CI : 0.666-2.026, P =0.597). CONCLUSION: Newly diagnosed MM patients with prolonged PT or APTT have worse clinical indicators, shorter PFS and OS. Prolonged PT or APTT is an independent risk factor for OS in MM patients.

[The Preventive Effect of Levofloxacin Combined with G-CSF or Only G-CSF Supportive Therapy on Infection in Autologous Hematopoietic Stem Cell Transplantation].

OBJECTIVE: To investigate the role of levofloxacin combined with recombinant human granulocyte colony-stimulating factor (G-CSF) or only G-CSF supportive therapy in preventing infection in autologous hematopoietic stem cell transplantation(ASCT), and to analyze the length of hospital stay, hospitalization cost and post-transplant survival of the patients. METHODS: A retrospective analysis was performed in the patients with hematological malignancies who accepted ASCT at our hospital from January 2012 to July 2022, the febrile neutropenia, the incidence of bacterial infection and the use rate of intravenous antibiotics in the levofloxacin+G-CSF group and only G-CSF support group during ASCT were observed. The length of hospital stay, total cost during hospitalization and survival after 90 days of transplantation between the two groups were compared. RESULTS: A total of 102 cases were included in this study, including 57 cases of multiple myeloma, 36 cases of acute leukaemia, 7 cases of lymphoma, 3 cases of myelodysplastic syndrome, 1 case of light chain amyloidosis, and 1 case of POEMS syndrome. 47 patients received levofloxacin+ G-CSF antibacterial prophylaxis, and 55 patients received G-CSF supportive therapy. In the levofloxacin+ G-CSF group, 40 cases (85.11%) developed febrile neutropenia, and 13 cases (27.66%) were confirmed as bacterial infection. In the G-CSF group, 44 cases (80.00%) developed febrile neutropenia, and 16 cases (29.09%) were bacterial infection. There was no statistically significant difference in the incidence of febrile neutropenia and bacterial infection between the two groups (χ2=0.46，P =0.50; χ2=0.03，P =0.87). The use rate of intravenous antibiotics in the levofloxacin+ G-CSF group was 85.11% (40/47), which was not statistically different from 85.45% (47/55) in the G-CSF group (χ2=0.04，P =0.84). The detection rates of levofloxacin-resistant bacteria in the levofloxacin+ G-CSF group and G-CSF group were 8.57% (3/35) and 21.43% (6/28), respectively, with no statistical difference (χ2=0.65, P >0.05). The median length and median cost of hospitalization in the levofloxacin+ G-CSF group and G-CSF group were 25 d vs 22 d and 78 216.24 yuan vs 80 724.38 yuan, with no statistically significant differences ( t =3.00，P =0.09; t =0.94，P =0.09). Within 90 days after transplantation, two cases (4.26%) died in the levofloxacin+ G-CSF group and one case (1.82%) died in the G-CSF group, with no statistically significant difference between the two groups (χ2=0.53，P =0.47). CONCLUSION: Application of levofloxacin+ G-CSF showed no significant benefit compared to G-CSF support for the prevention of bacterial infections during ASCT.

Multicenter propensity score-matched analysis to compare perioperative morbidity after laparoscopic or robotic complex hepatectomy for solitary hepatocellular carcinoma.

BACKGROUND: Postoperative complications are vital factors affecting the prognosis of patients with hepatocellular carcinoma (HCC), especially for complex hepatectomy. The present study aimed to compare perioperative complications between laparoscopic and robotic complex hepatectomy (LCH vs. RCH). METHODS: Patients with solitary HCC after complex hepatectomy were collected from a multicenter database. Propensity score-matched (PSM) analysis was adopted to control confounding bias. Multivariable analysis was performed to determine the prognostic factors. RESULTS: 436 patients were included. After PSM, 43 patients were included in both the LCH and RCH groups. The results showed that compared to LCH, RCH had lower rates of blood loss and transfusion, and lower postoperative 30-day and major morbidity, and post-hepatectomy liver failure (PHLF) (all P < 0.05). Additionally, the length of hospital stay was shorter in the RCH group (P = 0.026). Multivariable analysis showed RCH is an independent protective factor for reducing the 30-day morbidity, major morbidity and PHLF. CONCLUSION: RCH has advantages over LCH in the minimally invasive treatment of complex HCC, as it can reduce the incidence of postoperative morbidity. Therefore, RCH should be considered for patients with HCC who require complex hepatectomy.

Idebenone Antagonizes P53-Mediated Neuronal Oxidative Stress Injury by Regulating CD38-SIRT3 Protein Level.

Idebenone, an antioxidant used in treating oxidative damage-related diseases, has unclear neuroprotective mechanisms. Oxidative stress affects cell and mitochondrial membranes, altering Adp-ribosyl cyclase (CD38) and Silent message regulator 3 (SIRT3) protein expression and possibly impacting SIRT3's ability to deacetylate Tumor protein p53 (P53). This study explores the relationship between CD38, SIRT3, and P53 in H2O2-injured HT22 cells treated with Idebenone. Apoptosis was detected using flow cytometry and terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) staining after determining appropriate H2O2 and Idebenone concentrations.In this study, Idebenone was found to reduce apoptosis and decrease P53 and Caspase3 expression in H2O2-injured HT22 cells by detecting apoptosis-related protein expression. Through bioinformatics methods, CD38 was identified as the target of Idebenone, and it further demonstrated that Idebenone decreased the expression of CD38 and increased the level of SIRT3. An increased NAD+/NADH ratio was detected, suggesting Idebenone induces SIRT3 expression and protects HT22 cells by decreasing apoptosis-related proteins. Knocking down SIRT3 downregulated acetylated P53 (P53Ac), indicating SIRT3's importance in P53 deacetylation.These results supported that CD38 was used as a target of Idebenone to up-regulate SIRT3 to deacetylate activated P53, thereby protecting HT22 cells from oxidative stress injury. Thus, Idebenone is a drug that may show great potential in protecting against reactive oxygen species (ROS) induced diseases such as Parkinson's disease, and Alzheimer's disease. And it might be able to compensate for some of the defects associated with CD38-related diseases.

Amidoxime-grafted cotton fibers with anti-microbial sludge for efficient uranium recovery.

Uranium as a nuclear fuel, its source and aftertreatment has been a hot topic of debate for developers. In this paper, amidoxime and guanidino-modified cotton fibers (DC-AO-PHMG) were synthesized by the two-step functionalization approach, which exhibited remarkable antimicrobial and high uranium recovery property. Adsorption tests revealed that DC-AO-PHMG had excellent selectivity and anti-interference properties, the maximum adsorption capacity of 609.75 mg/g. More than 85 % adsorption capacity could still be kept after 10 adsorption-desorption cycles, and it conformed to the pseudo-second-order kinetic model and the Langmuir adsorption isotherm model as a spontaneous heat-absorbing chemical monolayer process. FT-IR, EDS and XPS analyses speculated that the amidoxime and amino synergistically increased the uranium uptake. The inhibitory activities of DC-AO-PHMG against three aquatic bacteria, BEY, BEL (from Yellow River water and lake bottom silt, respectively) and B. subtilis were significantly stronger, and the uranium adsorption was not impacted by the high bacteria content. Most importantly, DC-AO-PHMG removed up to 94 % of uranium in simulated seawater and extracted up to 4.65 mg/g of uranium from Salt Lake water, which demonstrated its great potential in the field of uranium resource recovery.

RUNX1 regulates MCM2/CDC20 to promote COAD progression modified by deubiquitination of USP31.

Colon adenocarcinoma (COAD) is the second leading cause of cancer death, and there is still a lack of diagnostic biomarkers and therapeutic targets. In this study, bioinformatics analysis of the TCGA database was used to obtain RUNX1, a gene with prognostic value in COAD. RUNX1 plays an important role in many malignancies, and its molecular regulatory mechanisms in COAD remain to be fully understood. To explore the physiological role of RUNX1, we performed functional analyses, such as CCK-8, colony formation and migration assays. In addition, we investigated the underlying mechanisms using transcriptome sequencing and chromatin immunoprecipitation assays. RUNX1 is highly expressed in COAD patients and significantly correlates with survival. Silencing of RUNX1 significantly slowed down the proliferation and migratory capacity of COAD cells. Furthermore, we demonstrate that CDC20 and MCM2 may be target genes of RUNX1, and that RUNX1 may be physically linked to the deubiquitinating enzyme USP31, which mediates the upregulation of RUNX1 protein to promote transcriptional function. Our results may provide new insights into the mechanism of action of RUNX1 in COAD and reveal potential therapeutic targets for this disease.

Radiofrequency enhances drug release from responsive nanoflowers for hepatocellular carcinoma therapy.

Hepatocellular carcinoma (HCC) is the sixth most common malignant tumor and the third leading cause of cancer death worldwide. Most patients are diagnosed at an advanced stage, and systemic chemotherapy is the preferred treatment modality for advanced HCC. Curcumin (CUR) is a polyphenolic antineoplastic drug with low toxicity obtained from plants. However, its low bioavailability and poor solubility limit its functionality. In this study, radiofrequency- (RF) enhanced responsive nanoflowers (NFs), containing superparamagnetic ferric oxide nanoclusters (Fe3O4 NCs), - CUR layer, - and MnO2 (CUR-Fe@MnO2 NFs), were verified to have a thermal therapeutic effect. Transmission electron microscopy was used to characterize the CUR-Fe@MnO2 NFs, which appeared flower-like with a size of 96.27 nm. The in vitro experimental data showed that RF enhanced the degradation of CUR-Fe@MnO2 NFs to release Mn2+ and CUR. The cytotoxicity test results indicated that after RF heating, the CUR-Fe@MnO2 NFs significantly suppressed HCC cell proliferation. Moreover, CUR-Fe@MnO2 NFs were effective T 1/T 2 contrast agents for molecular magnetic resonance imaging due to the release of Mn2+ and Fe3O4 NCs.

BAllC and BAllCools: Efficient formatting and operating for Single-Cell DNA methylation data.

MOTIVATION: With single-cell DNA methylation studies yielding vast datasets, existing data formats struggle with the unique challenges of storage and efficient operations, highlighting a need for improved solutions. RESULTS: BAllC (Binary All Cytosines) emerges as a tailored format for methylation data, addressing these challenges. BAllCools, its complementary software toolkit, enhances parsing, indexing, and querying capabilities, promising superior operational speeds and reduced storage needs. AVAILABILITY: https://github.com/jksr/ballcools. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Prognostic Value of CT-Derived Myocardial Biomarkers: Extracellular Volume Fraction and Strain in Patients with Severe Aortic Stenosis Undergoing Transcatheter Aortic Valve Replacement: A Systematic Review and Meta-analysis.

RATIONALE AND OBJECTIVES: This study aimed to investigate the prognostic value of preoperative CT scan-derived myocardial biomarkers in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR). MATERIALS AND METHODS: In April 2024, three databases (PubMed, Web of Science and Embase) were searched to identify studies. A random-effects model for meta-analysis was conducted to calculate pooled hazard ratios (HR) and 95% confidence intervals (CI) to assess the prognostic value. The I2 statistic was used to assess heterogeneity. Meta-regression analysis was conducted to appraise which variables yielded a significant impact on the HR of included biomarkers. RESULTS: 11 studies were identified, of which six studies involved 678 patients reporting extracellular volume fraction (ECV), one study involved 300 patients reporting ECV and left ventricular global longitudinal strain (LVGLS), three studies involved 868 patients reporting LVGLS and one study involved 376 patients reporting LVGLS and peak left atrial longitudinal strain (PALS). The endpoints included all-cause mortality, major adverse cardiovascular events (MACE) and a composite outcome of the previous two. The meta-analysis revealed that ECV, whether considered as a dichotomous variable (pooled HR: 3.87, 95% CI: 2.63-5.70, I2 = 0%), or as a continuous variable (pooled HR: 1.12, 95% CI: 1.05-1.19, I2 = 66%), and LVGLS, whether considered as a dichotomous variable (pooled HR: 1.70, 95% CI: 1.30-2.22, I2 = 0%) or a continuous variable (pooled HR: 1.07, 95% CI: 1.04-1.10, I2 = 0%) were all significant predictors for outcomes in patients with severe AS after TAVR. Age, sex, follow-up time and mean pressure gradient had a significant impact on the model of ECV (continuous). CONCLUSION: The higher CT-derived ECV and impaired LVGLS are able to predict worse outcomes in patients with severe AS who have undergone TAVR.

Round-the-Clock Adsorption-Degradation of Tetracycline Hydrochloride by Ag/Ni-TiO2.

The synergy of adsorption and photocatalysis is a good method to remove organic pollutants in wastewater. In recent decades, persistent photocatalysis has gained considerable interest for its ability to sustain the catalytic degradation of organic pollutants in the dark. Herein, we report three different TiO2 nanomaterials to remove tetracycline hydrochloride (TCH) in solution. We found that the removal ability of TiO2, Ni-TiO2, and Ag/Ni-TiO2 is 8.8 mg/g, 13.9 mg/g and 23.4 mg/g, respectively, when the initial concentration of TCH is 50 mg/L. Chemical adsorption could be the rate-determining step in the TCH adsorption process. Moreover, Ag nanoparticles dispersed on Ni doped TiO2 surface act as traps to capture photo-generated electrons upon illumination with indoor light. The holes in Ag/Ni-TiO2 serve as critical oxidative species in TCH degradation under dark conditions. This work provides new insights into the design of persistent photocatalysts that can be activated by weak illumination and degrade organic pollutants in wastewater after sunset.

Prognostic value of the Naples prognostic score in patients with intrahepatic cholangiocarcinoma after hepatectomy.

BACKGROUND: The Naples Prognostic Score (NPS), integrating inflammatory and nutritional biomarkers, has been reported to be associated with the prognosis of various malignancies, but there is no report on intrahepatic cholangiocarcinoma (ICC). This study aimed to explore the prognostic value of NPS in patients with ICC. METHODS: Patients with ICC after hepatectomy were collected, and divided into three groups. The prognosis factors were determined by Cox regression analysis. Predictive efficacy was evaluated by the time-dependent receiver operating characteristic (ROC) curves. RESULTS: A total of 174 patients were included (Group 1: 33 (19.0%) patients; Group 2: 83 (47.7%) patients; and Group 3: 58 (33.3%) patients). The baseline characteristics showed the higher the NPS, the higher the proportion of patients with cirrhosis and Child-Pugh B, and more advanced tumors. The Kaplan-Meier curves reflect higher NPS were associated with poor survival. Multivariable analysis showed NPS was an independent risk factor of overall survival (NPS group 2 vs. 1: HR = 1.671, 95% CI: 1.022-3.027, p = 0.009; NPS group 3 vs. 1: HR = 2.208, 95% CI: 1.259-4.780, p = 0.007) and recurrence-free survival (NPS group 2 vs. 1: HR = 1.506, 95% CI: 1.184-3.498, p = 0.010; NPS group 3 vs. 1: HR = 2.141, 95% CI: 2.519-4.087, P = 0.001). The time ROC indicated NPS was superior to other models in predicting prognosis. CONCLUSIONS: NPS is a simple and effective tool for predicting the long-term survival of patients with ICC after hepatectomy. Patients with high NPS require close follow-up, and improving NPS may prolong the survival time.

Successful treatment with tislelizumab plus chemotherapy for SMARCA4-deficient undifferentiated tumor: a case report.

SMARCA4-deficient undifferentiated tumor (SMARCA4-dUT) is a devastating subtype of thoracic tumor with SMARCA4 inactivation and is characterized by rapid progression, poor prognosis, and high risk of postoperative recurrence. However, effective treatments for SMARCA4-dUT are lacking. Herein, we describe a patient with SMARCA4-dUT who exhibited an impressive response to the anti-programmed cell death protein-1 (PD-1) antibody (tislelizumab) in combination with conventional chemotherapy (etoposide and cisplatin). To the best of our knowledge, this is the first case of SMARCA4-dUT treated with chemotherapy, comprising etoposide and cisplatin, combined with anti-PD-1 inhibitors. Immunotherapy combined with etoposide and cisplatin may be a promising strategy to treat SMARCA4-dUT.

Insights into the roles of superficial lattice oxygen in formaldehyde oxidation on birnessite.

K+-modified birnessite materials were constructed to remove formaldehyde (HCHO) in this work. The introduction of K+ led to weakening of the Mn-O bonds and enhanced the migration of superficial lattice oxygen, resulting in improved redox properties and catalytic activity. MnO2-3K with the largest specific surface area and greatest abundance of superficial lattice oxygen showed the best catalytic performance at 30-130 °C. The operando analyses reveal that HCHO is primarily activated to dioxymethylene (DOM) and subsequently converted to formate species (*COOH). The accumulation of formate species caused a decline in catalytic performance during extended testing at 30 °C, a challenge that could be mitigated by raising the temperature. Theoretical studies disclose that the *COOH → *H2CO3 step with the largest energy barrier is the rate limiting step for HCHO deep decomposition. Molecular oxygen could be activated at oxygen vacancies to replenish the depleted lattice oxygen after decomposition of carbonate species (*H2CO3) and CO2 and H2O desorption. The adsorbed oxygen and water did not limit the deep oxidation of HCHO. This research presents a promising approach for designing highly efficient, non-noble metal catalysts for formaldehyde degradation.

Machine Learning-Assisted Optimization of Mixed Carbon Source Compositions for High-Performance Denitrification.

Appropriate mixed carbon sources have great potential to enhance denitrification efficiency and reduce operational costs in municipal wastewater treatment plants (WWTPs). However, traditional methods struggle to efficiently select the optimal mixture due to the variety of compositions. Herein, we developed a machine learning-assisted high-throughput method enabling WWTPs to rapidly identify and optimize mixed carbon sources. Taking a local WWTP as an example, a mixed carbon source denitrification data set was established via a high-throughput method and employed to train a machine learning model. The composition of carbon sources and the types of inoculated sludge served as input variables. The XGBoost algorithm was employed to predict the total nitrogen removal rate and microbial growth, thereby aiding in the assessment of the denitrification potential. The predicted carbon sources exhibited an enhanced denitrification potential over single carbon sources in both kinetic experiments and long-term reactor operations. Model feature analysis shows that the cumulative effect and interaction among individual carbon sources in a mixture significantly enhance the overall denitrification potential. Metagenomic analysis reveals that the mixed carbon sources increased the diversity and complexity of denitrifying bacterial ecological networks in WWTPs. This work offers an efficient method for WWTPs to optimize mixed carbon source compositions and provides new insights into the mechanism behind enhanced denitrification under a supply of multiple carbon sources.

CASTpFold: Computed Atlas of Surface Topography of the universe of protein Folds.

Geometric and topological properties of protein structures, including surface pockets, interior cavities, and cross channels, are of fundamental importance for proteins to carry out their functions. Computed Atlas of Surface Topography of proteins (CASTp) is a widely used web server for locating, delineating, and measuring these geometric and topological properties of protein structures. Recent developments in AI-based protein structure prediction such as AlphaFold2 (AF2) have significantly expanded our knowledge on protein structures. Here we present CASTpFold, a continuation of CASTp that provides accurate and comprehensive identifications and quantifications of protein topography. It now provides (i) results on an expanded database of proteins, including the Protein Data Bank (PDB) and non-singleton representative structures of AlphaFold2 structures, covering 183 million AF2 structures; (ii) functional pockets prediction with corresponding Gene Ontology (GO) terms or Enzyme Commission (EC) numbers for AF2-predicted structures; and (iii) pocket similarity search function for surface and protein-protein interface pockets. The CASTpFold web server is freely accessible at https://cfold.bme.uic.edu/castpfold/.

CASTpFold: Computed Atlas of Surface Topography of the universe of protein Folds.

Geometric and topological properties of protein structures, including surface pockets, interior cavities and cross channels, are of fundamental importance for proteins to carry out their functions. Computed Atlas of Surface Topography of proteins (CASTp) is a widely used web server for locating, delineating, and measuring these geometric and topological properties of protein structures. Recent developments in AI-based protein structure prediction such as AlphaFold2 (AF2) have significantly expanded our knowledge on protein structures. Here we present CASTpFold, a continuation of CASTp that provides accurate and comprehensive identifications and quantifications of protein topography. It now provides (i) results on an expanded database of proteins, including the Protein Data Bank (PDB) and non-singleton representative structures of AlphaFold2 structures, covering 183 million AF2 structures; (ii) functional pockets prediction with corresponding Gene Ontology (GO) terms or Enzyme Commission (EC) numbers for AF2-predicted structures and (iii) pocket similarity search function for surface and protein-protein interface pockets. The CASTpFold web server is freely accessible at https://cfold.bme.uic.edu/castpfold/.

Global, regional, and national temporal trend in burden of major depressive disorder from 1990 to 2019: An analysis of the global burden of disease study.

Major depressive disorder (MDD) is one of the leading causes of disability worldwide. Comprehensive description of the global burden of MDD and its attributable risk factors is essential for policymaking but currently lacking. In this study, we aim to estimate the burden of MDD in terms of incidence, prevalence, and years lived with disability (YLDs), along with its attributable risk factors at global, regional, and rational level between 1990 and 2019, using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019. Data analysis was completed on July 1, 2023. In 2019, 274.80 million (95 % uncertainty interval [UI], 241.28 to 312.77) new cases of MDD were identified globally, with an increase of 59 % from 1990. A total of 37.20 million (25.65 to 51.22) YLDs were attributable to MDD, accounting for the largest proportion of mental disorder YLDs (29.7 %). Countries in the low sociodemographic index quantile exhibited the highest age-standardized incidence rate of MDD, with Uganda (7836.2, per 100,000 person-years, 6713.7 to 9181.1) and Palestine (7687.7, 6546.1 to 9023.9) reporting the highest rates among them. The United States had the highest increase in age-standardized rates, with an average annual percent change of 0.99. Females had 1.6 times higher age-standardised rates than males, ranging from 1.2 (Oceania) to 2.2 (tropical Latin America) times across 21 regions. Globally, the proportions of YLDs due to MDD attributable to bullying victimization, childhood sexual abuse, and intimate partner violence were 4.86 %, 5.46 %, and 8.43 % in 2019, respectively. The heavy burden of MDD serves as a stark reminder that a coordinated response from governments and health communities is urgently needed to scale up mental health services and implement effective interventions, particularly in low-income countries.

Pressure-Temperature-Magnetic Field Phase Diagram of Multiferroic (NH4)2FeCl5·H2O.

We combined synchrotron-based infrared absorbance and Raman scattering spectroscopies with diamond anvil cell techniques and a symmetry analysis to explore the properties of multiferroic (NH4)2FeCl5·H2O under extreme pressure-temperature conditions. Compression-induced splitting of the Fe-Cl stretching, Cl-Fe-Cl and Cl-Fe-O bending, and NH4+ librational modes defines two structural phase transitions, and a group-subgroup analysis reveals space group sequences that vary depending upon proximity to the unexpectedly wide order-disorder transition. We bring these findings together with prior high-field work to develop the pressure-temperature-magnetic field phase diagram uncovering competing polar, chiral, and magnetic phases in this system.