Ionic Pumping Effect at the Tailored Mesoporous Carbon Interface for an Extra-Stable Lithium Ion Battery at Low Temperatures.

Ion transportation at the interface significantly influences the electrochemical performance of the lithium ion battery, especially at high rates and low temperatures. Here, we develop a controlled self-assembly strategy for constructing a mesoporous carbon nanolayer with a uniform pore size and varied thicknesses on the two-dimensional monolayer MXene substrate. On the basis of the excellent electron conductivity of MXene, the mesoporous carbon layer is found with a voltage-driven ion accumulation effect, acting as an "ionic pump". The thicker mesoporous layer (∼2.28 nm) has the ability to accommodate a substantial quantity of ions, demonstrating enhanced ionic conductivity, remarkable cycling stability (192.8 mAh/g after 9400 cycles at 5.0 A/g), and outstanding rate capability at ambient and sub-zero temperatures (∼601 mAh/g at 0 °C and 0.05 A/g). This work provides valuable insights and guidance for the further development of high-performance electrode materials at high rates or low temperatures.

The Future of Molecular Studies through the Lens of Large Language Models.

The rapid advancement of large language models is reshaping research across various fields, offering a novel approach to the complex realm of molecular studies. Our evaluation of GPT-4 and GPT-3.5, focusing on their performance in generating and optimizing molecular structures, highlights GPT-4's strengths in certain aspects of molecular optimization. However, it also revealed challenges in accurately creating complex molecules. Addressing these issues, we propose possible directions for future molecular science research. These suggestions aim to forge new paths for exploring the intricacies of molecular structures, potentially bringing new efficiencies and innovations in the field.

The Impact of Death Education on College 'Students' Sense of Meaning in Life and Ability to Cope with Death.

Purpose: This study aims to assess the impact of death education on college students' sense of meaning in life and ability to cope with death. Method: A questionnaire survey was conducted among a randomly selected sample of 320 undergraduate students from a specific city. The survey, administered through the paper questionnaire, collected data on students' demographic characteristics, their awareness of death, and their demand for death education. Linear regression analysis was performed to identify factors influencing the demand for death education and assess its impact on college students' attitudes towards death, sense of meaning in life, and coping abilities. Results: The results revealed that participants' personality traits and family status significantly influenced their need for death education (P < .05). The overall score for death education needs among participants was (37.40±6.57). Notably, the statement "I think death education can help me understand death" received the highest mean rating (3.85), while the statement "I think death education will help me engage in nursing work in the future" received the lowest mean rating (3.55). Personal factors such as personality, family status, being an only child, and family experiences with serious illness were found to impact college students' demand for death education (P < .05). Post-death education, significant differences were observed in scores related to death fear and escape acceptance dimensions (P < .05). Moreover, there were statistically significant improvements in students' sense of meaning in life, quality of life, and life goals following death education (P < .05). Additionally, all dimensions of death coping ability showed higher scores after death education (P < .05). Factors such as current psychological state, being an only child, family experiences with serious illness, and attendance at funerals were found to be statistically significant in relation to college students' sense of meaning in life (P < .05). Multiple regression analysis indicated that the sense of meaning in life was influenced by the current psychological state and family experiences with serious illness (P < .05). Conclusion: The study highlights the importance of integrating death education into college curriculums to address students' fear of death and enhance their appreciation of life. Providing death education can help students develop a healthier perspective on death, improve their well-being, reduce avoidance attitudes towards death-related events, and strengthen their sense of meaning in life and ability to cope with death. These findings emphasize the need for educational institutions to implement comprehensive death education programs, considering individual factors such as personality and family background, and contribute to the development of effective educational policies and curricula.

Independent Monte Carlo dose calculation identifies single isocenter multi-target radiosurgery targets most likely to fail pre-treatment measurement.

PURPOSE: For individual targets of single isocenter multi-target (SIMT) Stereotactic radiosurgery (SRS), we assess dose difference between the treatment planning system (TPS) and independent Monte Carlo (MC), and demonstrate persistence into the pre-treatment Quality Assurance (QA) measurement. METHODS: Treatment plans from 31 SIMT SRS patients were recalculated in a series of scenarios designed to investigate sources of discrepancy between TPS and independent MC. Targets with > 5% discrepancy in DMean[Gy] after progressing through all scenarios were measured with SRS MapCHECK. A matched pair analysis was performed comparing SRS MapCHECK results for these targets with matched targets having similar characteristics (volume & distance from isocenter) but no such MC dose discrepancy. RESULTS: Of 217 targets analyzed, individual target mean dose (DMean[Gy]) fell outside a 5% threshold for 28 and 24 targets before and after removing tissue heterogeneity effects, respectively, while only 5 exceeded the threshold after removing effect of patient geometry (via calculation on StereoPHAN geometry). Significant factors affecting agreement between the TPS and MC included target distance from isocenter (0.83% decrease in DMean[Gy] per 2 cm), volume (0.15% increase per cc), and degree of plan modulation (0.37% increase per 0.01 increase in modulation complexity score). SRS MapCHECK measurement had better agreement with MC than with TPS (2%/1 mm / 10% threshold gamma pass rate (GPR) = 99.4 ± 1.9% vs. 93.1 ± 13.9%, respectively). In the matched pair analysis, targets exceeding 5% for MC versus TPS also had larger discrepancies between TPS and measurement with no GPR (2%/1 mm / 10% threshold) exceeding 90% (71.5% ± 16.1%); whereas GPR was high for matched targets with no such MC versus TPS difference (96.5% ± 3.3%, p = 0.01). CONCLUSIONS: Independent MC complements pre-treatment QA measurement for SIMT SRS by identifying problematic individual targets prior to pre-treatment measurement, thus enabling plan modifications earlier in the planning process and guiding selection of targets for pre-treatment QA measurement.

Nongenetic Precise Neuromodulation and Spatiotemporal Neuroprotection for Epilepsy Therapy via Rationally Designed Multifunctional Nanotransducer.

The precise modulation of electrical activity in specific neuronal populations is paramount for rectifying abnormal neurological functions and is a critical element in the therapeutic arsenal for neurological disorders. However, achieving a balance between minimal invasiveness and robust neuroprotection poses a considerable challenge. Herein, we present a nanoneuromodulation strategy integrating neuroprotective features to effectively address epilepsy with minimal invasiveness and enable wireless functionality. Strategically engineered nanotransducer, adorned with platinum (Pt) decoration with titanium disulfide (TiS2) (TiS2/Pt), enables precise modulation of neuronal electrical activity in vitro and in vivo, ensuring exceptional temporal fidelity under millisecond-precision near-infrared (NIR) light pulses irradiation. Concurrently, TiS2/Pt showcase a pronounced enhancement in enzyme-mimicking activity, offering a robust defense against oxidative neurological injury in vitro. Nanotransducer-enabled wireless neuromodulation with biocatalytic neuroprotective capacity is highly effective in alleviating epileptic high-frequency neural activity and diminishing oxidative stress levels, thereby restoring redox equilibrium. This integrated therapeutic approach reduces the severity of epilepsy, demonstrating minimal invasiveness and obviating the requirements for genetic manipulation and optical fiber implantation, while providing an alternative avenue for neurological disorder treatment.

Cytotoxic depsidones and xanthones from Garcinia esculenta Y. H. Li.

Six new compounds, including two depsidones garciculendepsidones A and B (1 and 2), one prenylated xanthone garciculenxanthone (3) and three dimeric xanthones bigarciculenxanthones A-C (4-6), were isolated from the twigs and leaves of Garcinia esculenta Y. H. Li. Their structures were elucidated based on comprehensive analyses of spectral data, including HRESIMS, 1D and 2D NMR, and ECD calculation. All the isolates were tested for their cytotoxicity against five human cancer cell lines (myeloid leukemia HL-60, lung cancer A-549 cells, hepatocellular carcinoma SMMC-7721, breast cancer MDA-MB-231 and colon cancer SW480), among them, compounds 3-5 displayed cytotoxic potential, especially garciculenxanthone (3) had the lowest IC50 value of 8.2 µm for lung cancer A-549 cells.

Prediction of Prostate Cancer Risk Stratification Based on A Nonlinear Transformation Stacking Learning Strategy.

PURPOSE: Prostate cancer (PCa) is an epithelial malignancy that originates in the prostate gland and is generally categorized into low, intermediate, and high-risk groups. The primary diagnostic indicator for PCa is the measurement of serum prostate-specific antigen (PSA) values. However, reliance on PSA levels can result in false positives, leading to unnecessary biopsies and an increased risk of invasive injuries. Therefore, it is imperative to develop an efficient and accurate method for PCa risk stratification. Many recent studies on PCa risk stratification based on clinical data have employed a binary classification, distinguishing between low to intermediate and high risk. In this paper, we propose a novel machine learning (ML) approach utilizing a stacking learning strategy for predicting the tripartite risk stratification of PCa. METHODS: Clinical records, featuring attributes selected using the lasso method, were utilized with 5 ML classifiers. The outputs of these classifiers underwent transformation by various nonlinear transformers and were then concatenated with the lasso-selected features, resulting in a set of new features. A stacking learning strategy, integrating different ML classifiers, was developed based on these new features. RESULTS: Our proposed approach demonstrated superior performance, achieving an accuracy of 0.83 and an area under the receiver operating characteristic curve value of 0.88 in a dataset comprising 197 PCa patients with 42 clinical characteristics. CONCLUSION: This study aimed to improve clinicians' ability to rapidly assess PCa risk stratification while reducing the burden on patients. This was achieved by using artificial intelligence-related technologies as an auxiliary method for diagnosing PCa.

Automated and ultrasensitive point-of-care glycoprotein detection using boronate-affinity enhanced organic electrochemical transistor patch.

Quantifying trace glycoproteins in biofluids requires ultrasensitive components, but feedback is not available in the current portable platforms of point-of-care (POC) diagnosis technologies. A compact and ultrasensitive bioelectrochemical patch was based on boronate-affinity amplified organic electrochemical transistors (BAAOECTs) for POC use was developed to overcome this dilemma. Benefit from the cascading signal enhancement deriving from boronate-affinity targeting multiple regions of glycoprotein and OECTs' inherent signal amplification capability, the BAAOECTs achieved a detection limit of 300 aM within 25 min, displaying about 3 orders of magnitude improvement in sensitivity compared with the commercial electrochemical luminescence (ECL) kit. By using a microfluidic chip, a microcontroller module, and a wireless sensing system, the testing workflows of the above patch was automated, allowing for running the sample-to-answer pipeline even in a resource-limited environment. The reliability of such portable biosensing platform is well recognized in clinical diagnostic applications of heart failure. Overall, the remarkable enhanced sensitivity and automated workflow of BAAOECTs biosensing platform provide a prospective and generalized design policy for expanding the POC diagnosis capabilities of glycoproteins.

Injectable Mesh-Like Conductive Hydrogel Patch for Elimination of Atrial Fibrillation.

Irregular electrical impulses in atrium are the leading cause of atrial fibrillation (AF), resulting in fatal arrhythmia and sudden cardiac death. Traditional medication and physical therapies are widely used, but generally suffer problems in serious physical damage and high surgical risks. Flexible and soft implants have great potential to be a novel approach for heart diseases therapy. A conductive hydrogel-based mesh cardiac patch is developed for application in AF elimination. The designed mesh patch with rhombic-shaped structure exhibits excellent flexibility, surface conformability, and deformation compliance, making it fit well with heart surface and accommodate to the deformation during heart beating. Moreover, the mechanical elastic and shape-memory properties of the mesh patch enable a minimally invasive injection of the patch into living animals. The mesh patch is implanted on the atrium surface for one month, indicating good biocompatibility and stability. Furthermore, the conductive patch can effectively eliminate AF owing to the conductivity and high charge storage capability (CSC) of the hydrogel. The proposed scheme of cardiac bioelectric signal modulation using conductive hydrogel brings new possibility for the treatment of arrhythmia diseases.

Robust, stretchable bioelectronic interfaces for cardiac pacing enabled by interfacial transfer of laser-induced graphene via water-response, nonswellable PVA gels.

Implantable cardiac pacemakers are crucial therapeutic tools for managing various cardiac conditions. For effective pacing, electrodes should exhibit flexibility, deformability, biocompatibility, and high conductivity/capacitance. Laser-induced graphene (LIG) shows promise due to its exceptional electrical and electrochemical properties. However, the fragility of LIG and the non-stretchability of polyimide substrates pose challenges when interfacing with the beating heart. Here, we present a simple method for fabricating robust, flexible, and stretchable bioelectronic interfaces by transferring LIG via water-responsive, nonswellable polyvinyl alcohol (PVA) gels. PVA solution penetrates the porous structure of LIG and solidifies into PVA xerogel as the solvent evaporates. The robust PVA xerogel enables the smooth transfer of LIG and prevents stretching of the LIG network during this process, which helps maintain its conductivity. When hydrated, the xerogel becomes a stable, nonswellable hydrogel. This gives the LIG-PVA hydrogel (LIG-PVA-H) composites with excellent conductivity (119.7 ± 4.3Ω sq-1), high stretchability (up to 420%), reliability (cyclic stretch under 15% strain, with ∼ 1-time resistance increase), and good stability in phosphate buffered saline. The LIG-PVA-H composites were used as biointerfaces for electrocardiogram signal recording and electrical pacing on rat hearts ex vivo and in vivo, using commercial setups and a custom-built implantable wireless device. This work expands the application of LIG in bioelectronic interfaces and facilitates the development of electrotherapy for cardiac diseases.

Simulating multiple variability in spatially resolved transcriptomics with scCube.

A pressing challenge in spatially resolved transcriptomics (SRT) is to benchmark the computational methods. A widely-used approach involves utilizing simulated data. However, biases exist in terms of the currently available simulated SRT data, which seriously affects the accuracy of method evaluation and validation. Herein, we present scCube ( https://github.com/ZJUFanLab/scCube ), a Python package for independent, reproducible, and technology-diverse simulation of SRT data. scCube not only enables the preservation of spatial expression patterns of genes in reference-based simulations, but also generates simulated data with different spatial variability (covering the spatial pattern type, the resolution, the spot arrangement, the targeted gene type, and the tissue slice dimension, etc.) in reference-free simulations. We comprehensively benchmark scCube with existing single-cell or SRT simulators, and demonstrate the utility of scCube in benchmarking spot deconvolution, gene imputation, and resolution enhancement methods in detail through three applications.

G-quadruplexes are a source of vulnerability in BRCA2 deficient granule cell progenitors and medulloblastoma.

Biallelic pathogenic variants in the essential DNA repair gene BRCA2 causes Fanconi anemia, complementation group FA-D1. Patients in this group are highly prone to develop embryonal tumors, most commonly medulloblastoma arising from the cerebellar granule cell progenitors (GCPs). GCPs undergo high proliferation in the postnatal cerebellum under SHH activation, but the type of DNA lesions that require the function of the BRCA2 to prevent tumorigenesis remains unknown. To identify such lesions, we assessed both GCP neurodevelopment and tumor formation using a mouse model with deletion of exons three and four of Brca2 in the central nervous system, coupled with global Trp53 loss. Brca2 Δex3-4 ;Trp53 -/- animals developed SHH subgroup medulloblastomas with complete penetrance. Whole-genome sequencing of the tumors identified structural variants with breakpoints enriched in areas overlapping G-quadruplexes (G4s). Brca2-deficient GCPs exhibited decreased replication speed in the presence of the G4-stabilizer pyridostatin. Pif1 helicase, which resolves G4s during replication, was highly upregulated in tumors, and Pif1 knockout in primary MB tumor cells resulted in increased genome instability upon pyridostatin treatment. These data suggest that G4s may represent sites prone to replication stalling in highly proliferative GCPs and without BRCA2, G4s become a source of genome instability. Tumor cells upregulate G4-resolving helicases to facilitate rapid proliferation through G4s highlighting PIF1 helicase as a potential therapeutic target for treatment of BRCA2-deficient medulloblastomas.

Dose-Incorporated Deep Ensemble Learning for Improving Brain Metastasis Stereotactic Radiosurgery Outcome Prediction.

PURPOSE: To develop a novel deep ensemble learning model for accurate prediction of brain metastasis (BM) local control outcomes after stereotactic radiosurgery (SRS). METHODS AND MATERIALS: A total of 114 brain metastases (BMs) from 82 patients were evaluated, including 26 BMs that developed biopsy-confirmed local failure post-SRS. The SRS spatial dose distribution (Dmap) of each BM was registered to the planning contrast-enhanced T1 (T1-CE) magnetic resonance imaging (MRI). Axial slices of the Dmap, T1-CE, and planning target volume (PTV) segmentation (PTVseg) intersecting the BM center were extracted within a fixed field of view determined by the 60% isodose volume in Dmap. A spherical projection was implemented to transform planar image content onto a spherical surface using multiple projection centers, and the resultant T1-CE/Dmap/PTVseg projections were stacked as a 3-channel variable. Four Visual Geometry Group (VGG-19) deep encoders were used in an ensemble design, with each submodel using a different spherical projection formula as input for BM outcome prediction. In each submodel, clinical features after positional encoding were fused with VGG-19 deep features to generate logit results. The ensemble's outcome was synthesized from the 4 submodel results via logistic regression. In total, 10 model versions with random validation sample assignments were trained to study model robustness. Performance was compared with (1) a single VGG-19 encoder, (2) an ensemble with a T1-CE MRI as the sole image input after projections, and (3) an ensemble with the same image input design without clinical feature inclusion. RESULTS: The ensemble model achieved an excellent area under the receiver operating characteristic curve (AUCROC: 0.89 ± 0.02) with high sensitivity (0.82 ± 0.05), specificity (0.84 ± 0.11), and accuracy (0.84 ± 0.08) results. This outperformed the MRI-only VGG-19 encoder (sensitivity: 0.35 ± 0.01, AUCROC: 0.64 ± 0.08), the MRI-only deep ensemble (sensitivity: 0.60 ± 0.09, AUCROC: 0.68 ± 0.06), and the 3-channel ensemble without clinical feature fusion (sensitivity: 0.78 ± 0.08, AUCROC: 0.84 ± 0.03). CONCLUSIONS: Facilitated by the spherical image projection method, a deep ensemble model incorporating Dmap and clinical variables demonstrated excellent performance in predicting BM post-SRS local failure. Our novel approach could improve other radiation therapy outcome models and warrants further evaluation.

Simultaneous detection of 5-methylcytosine and 5-hydroxymethylcytosine at specific genomic loci by engineered deaminase-assisted sequencing.

Cytosine modifications, particularly 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC), play crucial roles in numerous biological processes. Current analytical methods are often constrained to the separate detection of either 5mC or 5hmC, or the combination of both modifications. The ability to simultaneously detect C, 5mC, and 5hmC at the same genomic locations with precise stoichiometry is highly desirable. Herein, we introduce a method termed engineered deaminase-assisted sequencing (EDA-seq) for the simultaneous quantification of C, 5mC, and 5hmC at the same genomic sites. EDA-seq utilizes a specially engineered protein, derived from human APOBEC3A (A3A), known as eA3A-M5. eA3A-M5 exhibits distinct deamination capabilities for C, 5mC, and 5hmC. In EDA-seq, C undergoes complete deamination and is sequenced as T. 5mC is partially deaminated resulting in a mixed readout of T and C, and 5hmC remains undeaminated and is read as C. Consequently, the proportion of T readouts (P T) reflects the collective occurrences of C and 5mC, regulated by the deamination rate of 5mC (R 5mC). By determining R 5mC and P T values, we can deduce the precise levels of C, 5mC, and 5hmC at particular genomic locations. We successfully used EDA-seq to simultaneously measure C, 5mC, and 5hmC at specific loci within human lung cancer tissue and their normal counterpart. The results from EDA-seq demonstrated a strong concordance with those obtained from the combined application of BS-seq and ACE-seq methods. EDA-seq eliminates the need for bisulfite treatment, DNA oxidation or glycosylation and uniquely enables simultaneous quantification of C, 5mC and 5hmC at the same genomic locations.

Whole-Genome Sequencing of 5-Hydroxymethylcytosine at Base Resolution by Bisulfite-Free Single-Step Deamination with Engineered Cytosine Deaminase.

The epigenetic modification 5-hydroxymethylcytosine (5hmC) plays a crucial role in the regulation of gene expression. Although some methods have been developed to detect 5hmC, direct genome-wide mapping of 5hmC at base resolution is still highly desirable. Herein, we proposed a single-step deamination sequencing (SSD-seq) method, designed to precisely map 5hmC across the genome at single-base resolution. SSD-seq takes advantage of a screened engineered human apolipoprotein B mRNA-editing catalytic polypeptide-like 3A (A3A) protein, known as eA3A-v10, to selectively deaminate cytosine (C) and 5-methylcytosine (5mC) but not 5hmC. During sequencing, the deaminated C and 5mC are converted to uracil (U) and thymine (T), read as T in the sequencing data. However, 5hmC remains unaffected by eA3A-v10 and is read as C during sequencing. Consequently, the presence of C in the sequence reads indicates the original 5hmC. We applied SSD-seq to generate a base-resolution map of 5hmC in human lung tissue. Our findings revealed that 5hmC was predominantly localized to CpG dinucleotides. Furthermore, the base-resolution map of 5hmC generated by SSD-seq demonstrated a strong correlation with prior ACE-seq results. The advantages of SSD-seq are its single-step process, absence of bisulfite treatment or DNA glycosylation, cost effectiveness, and ability to detect and quantify 5hmC directly at single-base resolution.

Influence of patent paraumbilical vein on the development of esophageal varices and esophageal variceal bleeding in liver cirrhosis: A protective factor or a risk factor? / 临床肝胆病杂志

Previous studies believe that patent paraumbilical vein in cirrhotic portal hypertension can reduce portal venous flow, portal venous pressure, and the development of esophageal varices and esophageal variceal bleeding, but there are still controversies over this issue in clinical practice. This article reviews the formation of portal systemic collateral circulation, the characteristics of the paraumbilical vein, the definition and diagnosis of patent paraumbilical vein, and the influence of patent paraumbilical vein on the development of esophageal varices and esophageal variceal bleeding, and it is believed that patent paraumbilical vein may not reduce the development of esophageal varices and esophageal variceal bleeding. Contrary to the previous points of view, patent paraumbilical vein should be regarded as a manifestation of the progression of cirrhotic portal hypertension, which can lead to the complications such as hepatic encephalopathy, and therefore, targeted prevention measures should be adopted in clinical practice.

Effects of different anesthesia methods on immune function in patients with oral squamous cell carcinoma / 中华麻醉学杂志

Objective:To evaluate the effect of different anesthesia methods on the immune function in the patients with oral squamous cell carcinoma.Methods:Forty patients of both sexes, aged 31-64 yr, with body mass index of 19-23 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, undergoing elective radical resection of oral squamous cell carcinoma and repair of the defect with free flap, were enrolled and randomized to receive either combined intravenous-inhalational anesthesia (VICA group, n=20) or total intravenous anesthesia (TIVA group, n=20) using a random number table method.In group VICA, anesthesia was induced with intravenous propofol 1.5-2.0 mg/kg, remifentanil 1-2 μg/kg, and cisatracurium 0.2 mg/kg, sevoflurane was continuously inhaled to maintain MAC at 1.3, sevoflurane inhalation was stopped at 1 h before the end of surgery, sevoflurane was replaced with propofol, propofol 4-6 mg·kg -1·h -1 was continuously infused until the end of operation, and dexmedetomidine 0.4 μg·kg -1·h -1, remifentanil 0.2-0.3 μg·kg -1·min -1 and cisatracurium 0.1 mg·kg -1·h -1 were intravenously infused at the same time to maintain anesthesia.In group TIVA, anesthesia induction was the same as those previously described in group VICA, and anesthesia was maintained with intravenous dexmedetomidine 0.4 μg·kg -1·h -1, propofol 4-6 mg·kg -1·h -1, remifentanil 0.2-0.3 μg·kg -1·min -1 and cisatracurium 0.1 mg·kg -1·h -1.Venous blood samples were taken at 30 min before anaesthesia induction (T 0), 3 h after anaesthesia (T 1), at the end of operation (T 2), and at 6, 24 and 48 h after operation (T 3-5) for determination of the serum concentrations of immunoglobulins (IgA, IgM, IgG), interleukins (IL-2, IL-6, IL-10, sIL-2Rα) and soluble interleukin-2 receptor alpha (sIL-2Rα) by enzyme-linked immunosorbent assay. Results:Compared with the baseline at T 0, the concentrations of serum sIL-2Rα at T 1-5, IL-2 at T 1-4 and IL-10 at T 1 were significantly decreased, the concentrations of serum IL-6 at T 1-5 and IL-10 at T 2-4 were increased, and the concentrations of serum IgA and IgM at T 1-5 were decreased in two groups, and the concentrations of serum IgG at T 1-5 in TIVA group and at T 1, 2 and T 4, 5 in VICA group were significantly decreased ( P<0.05).Compared with group TIVA, the concentrations of serum sIL-2Rα at T 2, 5, IL-6 at T 4, 5 and IL-10 at T 3, IgA at T 4 and IgG at T 3 were significantly increased, and the concentrations of serum IL-2 at T 1-5 and IgA at T 5 were decreased in group VICA ( P<0.05). Conclusions:Both general anesthesia methods have significant inhibitory effects on intraoperative and postoperative cellular immune function and humoral immune function in the patients with oral squamous cell carcinoma, and combined intravenous-inhalational anesthesia produces higher inhibitory effects on cellular immune function than total intravenous anesthesia.

Strategies for targeting and remodeling tumor microenvironment / 药学学报

Tumor microenvironment (TME) is composed of abnormal tumor vasculature, extracellular matrix components, endothelial cells, pericytes, tumor associated fibroblasts, smooth muscle cells and immune cells, which is characterized by hypoxia, acidosis and high interstitial fluid pressure. Hypoxia and acidosis within the TME trigger an adjustment of the extracellular matrix (ECM), a response from neighbor stromal cells (e.g., fibroblasts) and immune cells (lymphocytes and macrophages), inducing tumor growth, angiogenesis, and ultimately, resulting in metastasis. What's more, the components of TME including abnormal tumor vasculature, rich composition of the ECM, and abundant stroma cells impair tumoral distribution and penetration of the drugs. At the same time, this stromal microenvironment plays a vital role in creating an immunosuppressive environment.Over the past years, more and more researches focus on targeting and remolding TME to improve therapeutic effects against tumors. Herein, we reviewed current strategies developed to target and remodel TME, including modulating tumor hypoxia, tumor vasculature, tumor associated fibroblasts, extracellular matrix components, tumor associated macrophage phenotypes and dendritic cells. Also, potential problems and future directions are pointed out in this review.

Drugs and drug delivery strategies for treatment of pulmonary arterial hypertension / 药学学报

Pulmonary arterial hypertension (PAH), also named as a cancer of cardiovascular disease, is a rare disease and has complicated pathogenesis. Recently, there are more understandings of PAH pathogeneses. According to the pathogenesis and active pathways, the clinically used drugs are classified into several groups incluidng prostacyclin analogues and prostacyclin receptor agonists, endothelin receptor antagonists, phosphodiesterase-5 inhibitors, soluble guanylate cyclase inhibitors, etc. To elevate the efficacy of the drugs, numerous drug delivery systems are developed. This review mainly summarized the pathological mechanism of PAH, drugs and drug delivery approaches in the treatment of PAH.

The predictive value of medical big data for the prognosis of elderly patients with pneumonia: based on the result of clinical database of a Beijing Chaoyang Hospital Consortium Chaoyang Emergency Ward / 中华危重病急救医学

Objective:To explore a medical big data algorithm to screen the core indicators in clinical database that can be used to evaluate the prognosis of elderly patients with pneumonia.Methods:Based on the clinical database of a Beijing Chaoyang Hospital Consortium Chaoyang Emergency Ward in Beijing Chaoyang Hospital, Capital Medical University, patients with pulmonary infection were selected through the big data retrieval technology. According to the prognosis at the time of discharge, they were divided into death group and survival group. The general data of patients were collected, including gender, age, blood gas and laboratory indices. A computer language called Python was used to make batch calculations of key indicators that affect mortality in elderly patients with pneumonia. Logistic regression analysis was used to analyze the relationship between laboratory indicators and patients' prognosis. Receiver operating characteristic curve (ROC curve) was drawn to analyze the predictive value of screening method for patients' prognosis.Results:A total of 265 patients were included in the study, 64 died and 201 survived. The data of the first detection indexes of each patient after admission were collected, and 23 key indicators with significant differences were selected from 472 indicators: blood routine indicators ( n = 7), blood gas indicators ( n = 3), tumor markers indicators ( n = 3),coagulation related indicators ( n = 4), and nutrition and organ function indicators ( n = 6). ① The key indicators of blood gas in patients died of pneumonia: Cl - was 97-111 mmol/L in 51.6% (33 cases) of patients, lactic acid (Lac) was 0.5-2.5 mmol/L in 81.2% (52 cases) of patients, and H + was 0-46 mmol/L in 87.5% (56 cases) of patients. ② The key indicators of blood routine of patients died of pneumonia: hemoglobin count (Hb) of 46.9% (30 cases) patients was 80-109 g/L, the eosinophils proportions (EOS%) in 67.2% (43 cases) patients was 0.000-0.009, the lymphocytes proportions (LYM%) in 51.6% (33 cases) patients was 0.00-0.09, the red blood cell count (RBC) in 50.0% (32 cases) patients was (3.0-3.9)×10 12/L, the white blood cell count (WBC) in 54.7% (35 cases) patients was (0.0-9.9)×10 9/L, and the red blood cell volume distribution width coefficientof variability (RDW-CV) in 48.4% (31 cases) patients was 10.0%-14.9%, serum C-reactive protein (CRP) was 0.0-49.9 mg/L in 48.4% (31 cases) patients. ③ The key indicators of tumor markers in patients died of pneumonia: 76.6% (49 cases) of patients had negative free prostate specific antigen/total prostate specific antigen (FPSA/TPSA, the ratio was 0), 92.2% (59 cases) had cytokeratin 19 fragment (CYFRA21-1) between 0.0-11.0 μg/L, and 75.0% (48 cases) had carbohydrate antigen 125 (CA125) between 0-104 kU/L.④ The key coagulation indexes of patients died of pneumonia: 68.8% (44 cases) of patients had activated partial thromboplastin time (APTT) of 57-96 s, 73.4% (47 cases) of patients had D-dimer of 0-6 mg/L, 93.8% (60 cases) of patients had thrombin time (TT) of 14-22 s, and 89.1% (57 cases) of patients had adenosine diphosphate (ADP) inhibition rate of 0%-53%. ⑤ Nutrition and organ function key indicatorsin patients died of pneumonia: 92.2% (59 cases) of brain natriuretic peptide (BNP) in patients with 0, 46.9% (30 cases) of patients had prealbumin (PA) of 71-140 mg/L, 90.6% (58 cases) of the patients with uric acid (UA) for 21-41 μmol/L, 75.0% (48 cases) of the patients with albumin (Alb) to 10-20 g/L, 93.5% (60 cases) of patients had albumin/globulin ratio (A/G ratio) of 0-0.9, 84.4% (54 cases) of the patients with lactate dehydrogenase (LDH) from 0-6.68 μmol/L·s -1·L -1. ⑥ Logistic regression analysis and ROC curve analysis: Logistic regression analysis showed that PA and Lac were the prognostic factors. PA could reduce the risk of death by 0.9%, Lac could increase the risk of death by 69.4%; the area under ROC curve (AUC) between laboratory indicators and the prediction effect of death prediction model for patients' prognosis was 0.80, which showed that the classification effect was better, and this study model could better predict the prognosis of elderly patients with pneumonia. Conclusion:By using big data technology, 23 core indicators for evaluating the prognosis of elderly patients with pneumonia can be screened from the clinical database of emergency ward, which provides a new perspective and method for clinical evaluation of the prognosis of elderly patients with pneumonia.