Deficiency of geranylgeranyl biphosphate synthase in kidney tubules causes cystic kidney disease.

Polycystic kidney disease (PKD) is a common hereditary kidney disease. Although PKD occurrence is associated with certain gene mutations, its onset regulatory mechanisms are still not well understood. Here, we first report that the key enzyme geranylgeranyl diphosphate synthase (GGPPS) is specifically expressed in renal tubular epithelial cells of mouse kidneys. We aimed to explore the role of GGPPS in PKD. In this study, we established a Ggppsfl/fl:Cdh16cre mouse model and compared its phenotype with that of wild-type mice. A Ggpps-downregulation HK2 cell model was also used to further determine the role of GGPPS. We found that GGPPS was specifically expressed in renal tubular epithelial cells of mouse kidneys. Its expression also increased with age. Low GGPPS expression was observed in human ADPKD tissues. In the Ggppsfl/fl:Cdh16cre mouse model, Ggpps deletion in renal tubular epithelial cells induced the occurrence and development of renal tubule cystic dilation and caused the death of mice after birth due to abnormal renal function. Enhanced proliferation of cyst-lining epithelial cells was also observed after the knockout of Ggpps. These processes were related to the increased rate of Rheb on membrane/cytoplasm and hyperactivation of mTORC1 signaling. In conclusion, the deficiency of GGPPS in kidney tubules induced the formation of renal cysts. It may play a critical role in PKD pathophysiology. A novel therapeutic strategy could be designed according to this work.

Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions.

The integration of machine learning (ML) and artificial intelligence (AI) techniques in life-course epidemiology offers remarkable opportunities to advance our understanding of the complex interplay between biological, social, and environmental factors that shape health trajectories across the lifespan. This perspective summarizes the current applications, discusses future potential and challenges, and provides recommendations for harnessing ML and AI technologies to develop innovative public health solutions. ML and AI have been increasingly applied in epidemiological studies, demonstrating their ability to handle large, complex datasets, identify intricate patterns and associations, integrate multiple and multimodal data types, improve predictive accuracy, and enhance causal inference methods. In life-course epidemiology, these techniques can help identify sensitive periods and critical windows for intervention, model complex interactions between risk factors, predict individual and population-level disease risk trajectories, and strengthen causal inference in observational studies. By leveraging the five principles of life-course research proposed by Elder and Shanahan-lifespan development, agency, time and place, timing, and linked lives-we discuss a framework for applying ML and AI to uncover novel insights and inform targeted interventions. However, the successful integration of these technologies faces challenges related to data quality, model interpretability, bias, privacy, and equity. To fully realize the potential of ML and AI in life-course epidemiology, fostering interdisciplinary collaborations, developing standardized guidelines, advocating for their integration in public health decision-making, prioritizing fairness, and investing in training and capacity building are essential. By responsibly harnessing the power of ML and AI, we can take significant steps towards creating healthier and more equitable futures across the life course.

Investigation and Regulation of DNA Nanostructures on Activating cGAS-STING Signaling.

DNA nanostructures have shown great potential in biomedical fields. However, the immune responses, especially the activation of the cGAS-STING signaling (A-cGSs), induced by DNA nanostructures, remain incompletely understood. Here, the ability of various DNA nanostructures from double-stranded DNA (dsDNA), single-stranded tiles (SSTs) to DNA origami is investigated on A-cGSs. Unlike natural dsDNA which triggers potent A-cGSs, the structural interconnectivity of various DNA configurations can substantially reduce the occurrence of A-cGSs, irrespective of their form, dimensions, and conformation. However, wireframe DNA nanostructures can activate the cGAS-STING signaling, suggesting that decreasing A-cGSs is dsDNA compactness-dependent. Based on this, a reconfigurable DNA Origami Domino Array (DODA) is used to systematically interrogate how dsDNA influences the A-cGSs and demonstrates that the length, number, and space of dsDNA array coordinately influence the activation level of cGAS-STING signaling, realizing a regulation of innate immune response. The above data and findings enhance the understanding of how DNA nanostructures affect cellular innate immune responses and new insights into the modulation of innate immune responses by DNA nanomedicine.

Epidermal secretion-purified biosensing patch with hydrogel sebum filtering membrane and unidirectional flow microfluidic channels.

The development of biosensing electronics for real-time sweat analysis has attracted increasing research interest due to their promising applications for non-invasive health monitoring. However, one of the critical challenges lies in the sebum interference that largely limits the sensing reliability in practical scenarios. Herein, we report a flexible epidermal secretion-purified biosensing patch with a hydrogel filtering membrane that can effectively eliminate the impact of sebum and sebum-soluble substances. The as-prepared sebum filtering membranes feature a dual-layer sebum-resistant structure based on the poly(hydroxyethyl methacrylate) hydrogel functionalized with nano-brush structured poly(sulfobetaine) to eliminate interferences and provide self-cleaning capability. Furthermore, the unidirectional flow microfluidic channels design based on the Tesla valve was incorporated into the biosensing patch to prevent external sebum contamination and allow effective sweat refreshing for reliable sensing. By seamlessly combining these components, the epidermal secretion-purified biosensing patch enables continuous monitoring of sweat uric acid, pH, and sodium ions with significantly improved accuracy of up to 12 %. The proposed strategy for enhanced sweat sensing reliability without sebum interference shows desirable compatibility for different types of biosensors and would inspire the advances of flexible and wearable devices for non-invasive healthcare.

Pan-Immune-Inflammatory Value is Superior to Other Inflammatory Indicators in Predicting Inpatient Major Adverse Cardiovascular Events and Severe Coronary Artery Stenosis after Percutaneous Coronary Intervention in STEMI Patients.

Background: The inflammatory response to atherosclerosis is a process that leads to coronary artery disease. Pan-immune-inflammation value (PIV) has emerged as a new and simple biomarker of inflammation. However, studies on the predictive power of PIV for major adverse cardiovascular events (MACE) or the degree of coronary artery stenosis are scarce. We aimed to explore the predictive ability of PIV for MACE and the degree of coronary artery stenosis in patients with ST-segment elevation myocardial infarction (STEMI) after percutaneous coronary intervention (PCI) during hospitalization. Methods: This study included 542 patients who were diagnosed with STEMI and who underwent PCI between 2016 and 2023 and whose PIV and other inflammatory markers were measured. Using univariate and multivariate logistic regression analysis, risk variables for MACE following PCI and severe coronary stenosis during hospitalization were assessed to create receiver operating characteristic (ROC) curves and determine the best thresholds for inflammatory markers. Spearman correlation analysis was used to evaluate the correlation of PIV and other inflammatory markers with the Gensini score (GS). Results: Compared with the systemic inflammatory index (SII), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR), the PIV may have greater predictive value in terms of the occurrence of MACE and the degree of coronary stenosis after PCI in hospitalized STEMI patients. The correlation between the PIV and GS was strong. Conclusions: PIV was superior to the SII, PLR, and NLR in predicting inpatient prognosis and severe coronary stenosis after PCI for STEMI patients.

Exploring the Potential of Microbial Coalbed Methane for Sustainable Energy Development.

By allowing coal to be converted by microorganisms into products like methane, hydrogen, methanol, ethanol, and other products, current coal deposits can be used effectively, cleanly, and sustainably. The intricacies of in situ microbial coal degradation must be understood in order to develop innovative energy production strategies and economically viable industrial microbial mining. This review covers various forms of conversion (such as the use of MECoM, which converts coal into hydrogen), stresses, and in situ use. There is ongoing discussion regarding the effectiveness of field-scale pilot testing when translated to commercial production. Assessing the applicability and long-term viability of MECoM technology will require addressing these knowledge gaps. Developing suitable nutrition plans and utilizing lab-generated data in the field are examples of this. Also, we recommend directions for future study to maximize methane production from coal. Microbial coal conversion technology needs to be successful in order to be resolved and to be a viable, sustainable energy source.

Melatonin and copper oxide nanoparticles synergistically mitigate clubroot disease and enhance growth dynamics in Brassica rapa.

Clubroot, a devastating soil borne disease affecting 30%∼50% of Brassicaceae crops worldwide, lacks effective control measures. In the present study, we explored the potential of melatonin (MT) and copper oxide nanoparticle (CuO-NPs) in mitigating clubroot severity in the Brassica rapa ssp. pekinensis. Following 18 h priming with MT, CuO-NPs, or both seeds were grown in controlled environment using synthetic potting mix. Inoculated with Plasmodiophora brassicae spores on 5th day, followed by a soil drench phyto-nano treatment with a week interval. Plants were assessed for various health and growth indices including disease, biometrics, photosynthesis, reactive oxygen species (ROS), antioxidant enzyme activity, hormones and genes expression at onset of secondary clubroot infection using established protocols. Statistical analysis employed ANOVA with Fisher's LSD for significance assessment (P < 0.05). Our results revealed that seed priming with both MT (50 µMol/L) and CuO-NPs (200 mg/L), followed by soil drenching significantly reduced clubroot incidence (38%) and disease index (57%), compared to control treatments. This synergistic effect was associated with enhanced plant growth (shoots: 48% and roots: 59%). Plants treated with both MT and CuO-NPs showed robust antioxidant defenses, significantly increased superoxide dismutase (SOD (25/29%)), catalase (CAT (83/55%)), and ascorbate peroxidase (APX (83/46%)) activity in both shoots/roots, respectively, compared to infected control. Notably, salicylic acid and jasmonic acid levels doubled in treated plants, while stress hormone abscisic acid (ABA) decreased by 80% in roots and 21% in shoots. Gene expression analysis corroborated these findings, showing that the combined treatment activated antioxidant defense genes (SOD, APX and CAT) by 1.9-7.2-fold and upregulated hormone signaling genes JAZ1 (7.8-fold), MYC2 (3.9-fold) and SABP2 (36-fold). Conversely, ABA biosynthesis genes (ABA1 and NCED1) were downregulated up to 7.2-fold, while plant resistance genes NPR1, PRB1 and PDF1.2 were dramatically increased by up to 6.3-fold compared to infected plants. Overall, our combined treatment approach significantly reduces clubroot severity in B. rapa via enhanced antioxidant defenses, improved ROS scavenging, coordinated hormonal regulation and increased pathogen response genes. This study offers promising strategy for developing effective control measures against clubroot in susceptible cruciferous crops.

ICDXML: enhancing ICD coding with probabilistic label trees and dynamic semantic representations.

Accurately assigning standardized diagnosis and procedure codes from clinical text is crucial for healthcare applications. However, this remains challenging due to the complexity of medical language. This paper proposes a novel model that incorporates extreme multi-label classification tasks to enhance International Classification of Diseases (ICD) coding. The model utilizes deformable convolutional neural networks to fuse representations from hidden layer outputs of pre-trained language models and external medical knowledge embeddings fused using a multimodal approach to provide rich semantic encodings for each code. A probabilistic label tree is constructed based on the hierarchical structure existing in ICD labels to incorporate ontological relationships between ICD codes and enable structured output prediction. Experiments on medical code prediction on the MIMIC-III database demonstrate competitive performance, highlighting the benefits of this technique for robust clinical code assignment.

Application of Continuous Care Pattern Based on Information-Motivation-Behavioral Skills Model in out-of-Hospital Rehabilitation of Diabetic Foot Ulceration Patients: A Randomized Controlled Trial.

OBJECTIVE: To explore the effect of information-motivation-behavioral skills model (IMB)-based continuous nursing model on the out-of-hospital rehabilitation of diabetic foot ulceration (DFU) patients, and to provide a theoretical basis for long-term disease management of DFU patients. METHODS: A total of 88 patients with DFU admitted to our Hospital were included in this prospective study. The patients were divided into control and study groups using the random number table method, with 44 cases in each group. Patients in the study group received both routine care and IMB-based continuing care, and the control group received only routine care. RESULTS: At week 1, FBS, PBG (2 h) and HbA1c were significantly decreased in the study group compared with that in the control group (P < .05). At week 3 and 6, blood glucose indicators were significantly improved in both groups compared with week 1 (P < .05). In additional, the number of non-infected patients at week 1 and week 3 in the study group was significantly higher than that in the control group (P < .05). At week 3, the number of cured patients was significantly higher in the study group than that in the control group (P < .05). And the area of ulcer healing in the study group was significantly larger than that in the control group at week 1 and week 3 (P < .05). CONCLUSION: In conclusion, the continuous nursing mode based on IMB can help DFU patients manage blood glucose level, reduce wound infection, and accelerate wound healing, which is worthy of wide clinical application and promotion.

The first-in-human study to assess the safety, tolerability, pharmacokinetics, and pharmacodynamics of the factor XI monoclonal antibody SHR-2004 in healthy subjects.

BACKGROUND: Inhibiting the coagulation factor XI (FXI) is a novel strategy for prevention and treatment of thromboembolism without affecting extrinsic coagulation pathways. SHR-2004 is a humanized monoclonal antibody that selectively binds to FXI and factor XIa (FXIa). RESEARCH DESIGN & METHODS: This randomized, double-blind, dose-escalation, placebo-controlled study evaluated SHR-2004 administered either intravenously (i.v.; Part A) or subcutaneously (s.c.; Part B). In Part A, 24 subjects received a single i.v. dose of SHR-2004 (0.1, 0.3, or 1.0 mg/kg) or placebo. In Part B, 40 subjects received a single s.c. dose of SHR-2004 (0.5, 1.0, 3.0, or 4.5 mg/kg) or placebo. RESULTS: SHR-2004 was well tolerated. Plasma exposure to SHR-2004 increased in a dose-dependent manner. The geometric mean half-time ranged from 11.6 to 13.0 days. FXI activity decreased, and the activated partial thromboplastin time (APTT) was prolonged after i.v. and s.c. administration in a dose- and time-dependent manner. FXI activity was nearly completely abolished immediately after administering the highest i.v. dose, with the average APTT prolonged to nearly three times of baseline. CONCLUSION: SHR-2004 is a promising candidate for further development as an anticoagulant drug that exerts effective anticoagulation with minimal risk of bleeding. CLINICAL TRIAL REGISTRATION: www.clinicaltrials.gov identifier is NCT05369767.

Deer oil improves ulcerative colitis induced by DSS in mice by regulating the intestinal microbiota and SCFAs metabolism and modulating NF-κB and Nrf2 signaling pathways.

BACKGROUND: Deer oil (DO), a byproduct of deer meat processing, possesses high nutritional value. This study aims to evaluate the protective effects of DO on dextran sulfate sodium (DSS)-induced ulcerative colitis (UC) in mice and to explore its potential mechanisms of action. RESULTS: DO was found to inhibit weight loss and colon shortening in colitis mice, significantly reduce disease activity index scores, and notably enhance the levels of tight junction proteins in colon tissues, thus improving intestinal barrier function. ELISA results indicated that DO markedly alleviated the mice's oxidative stress and inflammatory responses. Western blot analysis further demonstrated that DO significantly inhibited the phosphorylation of NF-κB while up-regulating the expression levels of Nrf2 and HO-1 proteins. Additionally, DO increased the abundance of beneficial bacteria such as Odoribacter, Blautia, and Muribaculum, reduced the abundance of harmful bacteria such as Bacteroides, Helicobacter, and Escherichia-Shigella, and promoted the production of short-chain fatty acids. CONCLUSION: Our study provides the first evidence that DO can effectively improve DSS-induced UC in mice. The underlying mechanisms may involve maintaining intestinal barrier function, inhibiting inflammation, alleviating oxidative stress, and modulation of gut microbiota. These findings offer valuable insights for developing DO as an adjunct treatment for UC and as a functional food. © 2024 Society of Chemical Industry.

Assessing microplastic contamination in soda beverages: A Multi-city, Multi-container laser Direct infrared spectroscopy study.

Microplastics are tiny plastic particles, typically smaller than 5 mm in diameter, that result from the degradation of larger plastic products. Minuscule pollutants are increasingly being found in our food supply, especially in beverages, raising substantial health concerns. Ingested microplastics can release hazardous chemicals and act as carriers of pathogens, leading to adverse health effects upon chronic exposure. Despite the numerous studies on microplastic contamination, few have assessed the influence of geographic location and container type on the presence of microplastics in beverages. Our comprehensive study bridges this research gap by collecting a particular soda beverage from Atlanta, Chicago, Los Angeles, and Washington D.C. and examining three different types of beverage containers: aluminum, glass, and plastic. Using direct laser infrared spectroscopy, we identified the types and quantified the numbers of microplastics. Our statistical analysis, which incorporated principal component analysis, investigated the distribution of microplastics in beverage samples, focusing on the impacts of geographic location and container material. Notably, our analysis revealed that the microplastic profiles were distinguishable in some cities, although not all. Conversely, no distinguishability was revealed between the different container types. This study sheds light on the complex patterns of microplastic contamination according to geographical location and packaging. Our findings contribute to a broader effort to understand and address the widespread challenges of microplastics, with implications for public health and ecosystem preservation.

Thermodynamic and Kinetic Behaviors of Electrolytes Mediated by Intermolecular Interactions Enabling High-Performance Lithium-Ion Batteries.

Electrolyte solvation chemistry regulated by lithium salts, solvents, and additives has garnered significant attention since it is the most effective strategy for designing high-performance electrolytes in lithium-ion batteries (LIBs). However, achieving a delicate balance is a persistent challenge, given that excessively strong or weak Li+-solvent coordination markedly undermines electrolyte properties, including thermodynamic redox stability and Li+-desolvation kinetics, limiting the practical applications. Herein, we elucidate the crucial influence of solvent-solvent interactions in modulating the Li+-solvation structure to enhance electrolyte thermodynamic and kinetic properties. As a paradigm, by combining strongly coordinated propylene carbonate (PC) with weakly coordinated cyclopentylmethyl ether (CPME), we identified intermolecular interactions between PC and CPME using 1H-1H correlation spectroscopy. Experimental and computational findings underscore the crucial role of solvent-solvent interactions in regulating Li+-solvent/anion interactions, which can enhance both the thermodynamic (i.e., antireduction capability) and kinetic (i.e., Li+-desolvation process) aspects of electrolytes. Additionally, we introduced an interfacial model to reveal the intricate relationship between solvent-solvent interactions, electrolyte properties, and electrode interfacial behaviors at a molecular scale. This study provides valuable insights into the critical impact of solvent-solvent interactions on electrolyte properties, which are pivotal for guiding future efforts in functionalized electrolyte engineering for metal-ion batteries.

Characterization and Differentiation of Flavor Profile of 12 Air-Dried Yak Meat Products Using GC-IMS and Multivariate Analysis.

Volatile organic compounds (VOCs) in food are key factors constituting their unique flavor, while the characteristics of VOCs in air-dried yak meat (AYM) from various regions of the Tibetan Plateau and their inter-regional differences remain unclear. Therefore, this study conducted a comprehensive analysis of VOCs in the five-spice (FS), spicy and numbing (SN), and aromatic and spicy (AS) versions of AYM from four regions of the Tibetan Plateau (Gansu, Qinghai, Sichuan, and Tibet) using gas chromatography-ion mobility spectrometry (GC-IMS) A total of 58 VOCs were identified, with alcohols accounting for 28.40%, ketones 22.89%, aldehydes 18.85%, and terpenes 17.61%. Topographic plots, fingerprint profiles, and multivariate analysis not only distinguished AYM of the same flavor from different regions but also discriminated those of different flavors within the same region. Furthermore, 17 key VOCs were selected as the primary aroma characteristics of the 12 types of AYM, including linalool, 3-methylbutanal, acetone, and limonene. Meanwhile, the differential VOCs for each flavor were determined, with linalyl acetate being unique to the FS, (E)-ocimene and ethyl propanoate being specific to the SN, and 2-methyl-3-(methylthio)furan-D and Hexanal-D being characteristic of the AS flavor. Based on the above results, the flavor of AYM can be improved to suit the taste of most people and increase its consumption.

The tonoplast-localized OsTIP2;1 is involved in aluminum detoxification in rice.

Aluminum (Al) stress is a significant issue in acidic soils, severely affecting crop growth and yield. Rice is notably resilient to Al toxicity, yet the internal tolerance mechanisms remain inadequately addressed. Here, we examined the role of OsTIP2;1, a tonoplast-bound intrinsic protein (TIP), in rice's internal Al detoxification. Our findings reveal that OsTIP2;1 expression was quickly and explicitly activated by Al ions in roots but not in shoots. The OsTIP2;1-GFP protein localizes to the tonoplast in plant and yeast cells. Non-functional ostip2;1 rice mutants were more vulnerable to Al toxicity. In the roots, the ostip2;1 mutants exhibited considerably lower levels of Al in the cell sap, primarily the vacuolar contents, than in the wild-type plant. Moreover, the ostip2;1 mutants showed reduced Al accumulation in the roots but increased translocation to the shoots. Heterologous expression of tonoplast-localized OsTIP2;1 in yeast led to enhanced Al tolerance, suggesting that OsTIP2;1 facilitates Al sequestration to the vacuole. These findings indicate that OsTIP2;1 mediates internal detoxification by transporting Al into the vacuole in the root and restricting its transport to above-ground tissues, thus contributing to Al resistance in rice.

G-quadruplexes as pivotal components of cis-regulatory elements in the human genome.

BACKGROUND: Cis-regulatory elements (CREs) are crucial for regulating gene expression, and G-quadruplexes (G4s), as prototypal non-canonical DNA structures, may play a role in this regulation. However, the relationship between G4s and CREs, especially with non-promoter-like functional elements, requires further systematic investigation. We aimed to investigate the associations between G4s and human cCREs (candidate CREs) inferred from the Encyclopedia of DNA Elements (ENCODE) data. RESULTS: We found that G4s are prominently enriched in most types of cCREs, especially those with promoter-like signatures (PLS). The co-occurrence of CTCF signals with H3K4me3 or H3K27ac signals strengthens the association between cCREs and G4s. Genetic variants in G4s, particularly within their G-runs, exhibit higher regulatory potential and deleterious effects compared to cCREs. The G-runs within G4s near transcriptional start sites (TSSs) are more evolutionarily constrained compared to G-runs in cCREs, while those far from the TSS are relatively less conserved. The presence of G4s is often linked to a more favorable local chromatin environment for the activation and execution of regulatory function of cCREs, potentially attributable to the formation of G4 secondary structures. Finally, we discovered that G4-associated cCREs exhibit widespread activation in a variety of cancers. CONCLUSIONS: Our study suggests that G4s are integral components of human cis-regulatory elements, extending beyond their potential role in promoters. The G4 primary sequences are associated with the localization of CREs, while the G4 structures are linked to the activation of these elements. Therefore, we propose defining G4s as pivotal regulatory elements in the human genome.

Deciphering the interaction between PKM2 and the built-in thermodynamic properties of the glycolytic pathway in cancer cells.

Most cancer cells exhibit high glycolysis rates under conditions of abundant oxygen. Maintaining a stable glycolytic rate is critical for cancer cell growth as it ensures sufficient conversion of glucose carbons to energy, biosynthesis, and redox balance. Here we deciphered the interaction between PKM2 and the thermodynamic properties of the glycolytic pathway. Knocking down or knocking out PKM2 induced a thermodynamic equilibration in the glycolytic pathway, characterized by the reciprocal changes of the Gibbs free energy (ΔG) of the reactions catalyzed by PFK1 and PK, leading to a less exergonic PFK1-catalyzed reaction and a more exergonic PK-catalyzed reaction. The changes in the ΔGs of the two reactions cause the accumulation of intermediates, including the substrate PEP (the substrate of PK), in the segment between PFK1 and PK. The increased concentration of PEP in turn increased PK activity in the glycolytic pathway. Thus, the interaction between PKM2 and the thermodynamic properties of the glycolytic pathway maintains the reciprocal relationship between PK concentration and its substrate PEP concentration, by which, PK activity in the glycolytic pathway can be stabilized and effectively counteracts the effect of PKM2 KD or KO on glycolytic rate. In line with our previous reports, this study further validates the roles of the thermodynamics of the glycolytic pathway in stabilizing glycolysis in cancer cells. Deciphering the interaction between glycolytic enzymes and the thermodynamics of the glycolytic pathway will promote a better understanding of the flux control of glycolysis in cancer cells.

[Effect of total saponins from Panacis Majoris Rhizoma on proliferation, apoptosis and autophagy of human cervical carcinoma HeLa cells].

This paper investigated the effect of total saponins from Rhizoma Panacis Majoris on the proliferation, apoptosis, and autophagy of human cervical carcinoma HeLa cells. The saponin content was detected by ultraviolet-visible spectrophotometry. Cell coun-ting kit-8(CCK-8) assay, 4,6-diamidino-2-phenylindole(DAPI) staining, and flow cytometry were used to detect the effects of total saponins of Panacis Majoris Rhizoma on cell viability, morphology, cell cycle and apoptosis of HeLa cells. Western blot was used to detect the expression of apoptosis-related proteins B cell lymphoma-2(Bcl-2), Bcl-2-associated X protein(Bax), cleaved caspase-9, and cleaved caspase-3, autophagy-related proteins Beclin-1 and SQSTM1(p62), and the proteins related to the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin(PI3K/Akt/mTOR) and mitogen-activated protein kinase(MAPK) signaling pathways. It was found that the yield and saponin content of total saponins from Rhizoma Panacis Majoris were 6.3% and 78.3%, respectively. Total saponins from Rhizoma Panacis Majoris could significantly inhibit the proliferation(P<0.001), effect the nuclear morphology, block the G_0/G_1 cycle, and induce cell apoptosis in HeLa cells with a concentration-dependent manner. In addition, total saponins from Rhizoma Panacis Majoris up-regulated the expression of pro-apoptotic proteins Bax, cleaved caspase-9, and cleaved caspase-3, and autophagy-related protein p62(P<0.05), while down-regulated the expression of anti-apoptotic protein Bcl-2 and autophagy-related protein Beclin-1(P<0.01). Total saponins from Rhizoma Panacis Majoris could promote the expression of p-p38/p38, p-Jun N-terminal kinase(JNK)/JNK, p-PI3K/PI3K, p-Akt/Akt, p-mTOR/mTOR proteins in PI3K/Akt/mTOR and MAPK signaling pathways(P<0.05). In contrast, the effect on p-ERK/ERK expression was not obvious. Therefore, total saponins from Rhizoma Panacis Majoris may inhibit autophagy and promote apoptosis of HeLa cells through the activation of the PI3K/Akt/mTOR, c-JNK, and p38 MAPK signaling pathways, which indicates that total saponins from Rhizoma Panacis Majoris may have a potential role in cervical cancer treatment.

A novel scoring system based on sIL-2R for predicting IVIG resistance in Chinese children with KD.

OBJECTIVE: This study aimed to develop a novel scoring system utilizing circulating interleukin (IL) levels to predict resistance to intravenous immunoglobulin (IVIG) in Chinese patients with Kawasaki disease (KD). We further compared this scoring system against six previously established scoring methods to evaluate its predictive performance. METHODS: A retrospective analysis was conducted on KD patients who were treated at the cardiovascular medical ward of our institution from January 2020 to December 2022. Six scoring systems (Egami, Formosa, Harada, Kobayashi, Lan and Yang) were analyzed, and a new scoring system was developed based on our data. RESULTS: In our study, 521 KD patients were recruited, 42 of whom (8.06%) were identified as resistant to IVIG. Our study indicated that IVIG-resistant KD patients were at an increased risk for the development of coronary arterial lesions (CALs) (P = 0.001). The evaluation of IVIG resistance using various scoring systems revealed differing levels of sensitivity and specificity, as follows: Egami (38.10% and 88.52%), Formosa (95.24% and 41.13%), Harada (78.57% and 43.22%), Kobayashi (66.67% and 74.95%), Lan (66.67% and 73.49%), and Yang (69.05% and 77.24%). Our novel scoring system utilizing sIL-2R demonstrated the highest sensitivity and specificity of 69.29% and 83.91%, respectively, and calibration curves indicated a favorable predictive accuracy of the model. CONCLUSION: Our newly developed scoring system utilizing sIL-2R demonstrated superior predictive performance in identifying IVIG resistance among Chinese patients with KD.

First-principles investigation of positively charged and neutral oxygen vacancies in amorphous silica.

The structural parameters, electron localization functions, electron paramagnetic resonance (EPR) parameters, formation energies, and thermodynamic transition levels of various oxygen vacancy defects in amorphous silica are comprehensively and integrally investigated by using density functional theory. The trends of changes in the oxygen vacancy defect structure and electron localization induced by the increase in distance between defective silicon atoms are clearly identified. It is shown that the dimer configuration may be the potential structure of the Eδ' center. For the back-projected unpuckered configuration and the puckered configuration, whose EPR parameters are more consistent with the experimental values of the Eγ' center, the unpaired electron localized on the sp3 hybridized silicon atom is a common feature. Due to the three-coordinated oxygen atom in the forward-oriented configuration, the EPR parameters are closest to those of the Eα' center. Transformations of oxygen vacancy defects under different charge states are studied by sequentially adding and removing electrons. The thermodynamic transition level analysis reveals that the dimer and forward configurations may behave as deep traps for electron accumulation. The back-projected puckered fourfold-coordinated and fivefold-coordinated configurations are comparatively stable and may be able to function as shallow traps for electron transport. The neutral double unpuckered, neutral back-projected puckered fourfold-coordinated, and neutral back-projected unpuckered configurations are more likely to lose electrons during hole trapping. As the bias voltage is repeatedly changed, the defect density of the puckered configuration may reduce, while that of the dimer and unpuckered configuration may take an opposite trend.