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GBasis is a free and open-source Python library for molecular property computations based on Gaussian basis functions in quantum chemistry. Specifically, GBasis allows one to evaluate functions expanded in Gaussian basis functions (including molecular orbitals, electron density, and reduced density matrices) and to compute functionals of Gaussian basis functions (overlap integrals, one-electron integrals, and two-electron integrals). Unique features of GBasis include supporting evaluation and analytical integration of arbitrary-order derivatives of the density (matrices), computation of a broad range of (screened) Coulomb interactions, and evaluation of overlap integrals of arbitrary numbers of Gaussians in arbitrarily high dimensions. For circumstances where the flexibility of GBasis is less important than high performance, a seamless Python interface to the Libcint C package is provided. GBasis is designed to be easy to use, maintain, and extend following many standards of sustainable software development, including code-quality assurance through continuous integration protocols, extensive testing, comprehensive documentation, up-to-date package management, and continuous delivery. This article marks the official release of the GBasis library, outlining its features, examples, and development.
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Funduscopic diseases, including diabetic retinopathy (DR) and age-related macular degeneration (AMD), significantly impact global visual health, leading to impaired vision and irreversible blindness. Delivering drugs to the posterior segment of the eye remains a challenge due to the presence of multiple physiological and anatomical barriers. Conventional drug delivery methods often prove ineffective and may cause side effects. Nanomaterials, characterized by their small size, large surface area, tunable properties, and biocompatibility, enhance the permeability, stability, and targeting of drugs. Ocular nanomaterials encompass a wide range, including lipid nanomaterials, polymer nanomaterials, metal nanomaterials, carbon nanomaterials, quantum dot nanomaterials, and so on. These innovative materials, often combined with hydrogels and exosomes, are engineered to address multiple mechanisms, including macrophage polarization, reactive oxygen species (ROS) scavenging, and anti-vascular endothelial growth factor (VEGF). Compared to conventional modalities, nanomedicines achieve regulated and sustained delivery, reduced administration frequency, prolonged drug action, and minimized side effects. This study delves into the obstacles encountered in drug delivery to the posterior segment and highlights the progress facilitated by nanomedicine. Prospectively, these findings pave the way for next-generation ocular drug delivery systems and deeper clinical research, aiming to refine treatments, alleviate the burden on patients, and ultimately improve visual health globally.
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Dysfunction of the blood-brain barrier (BBB) has been increasingly recognised as a critical early event in Alzheimer's disease (AD) pathophysiology. Central to this mechanism is the impaired function of brain endothelial cells (BECs), the primary structural constituents of the BBB, the study of which is imperative for understanding AD pathophysiology. However, the published methods to isolate BECs are time-consuming and have a low success rate. Here, we developed a rapid and streamlined protocol for BEC isolation without using transgenic reporters, flow cytometry, and magnetic beads, which are essential for existing methods. Using this novel protocol, we isolated high-purity BECs from cell clusters of cortical microvessels from wild-type and APPswe/PS1dE9 (APP/PS1, a classical AD model) mice at 2, 4 and 9 months of age. Reduced levels of tight junction proteins Claudin-5 and Zonula Occludens-1, as well as glucose transporter 1, were observed in the isolated cortical microvessels from APP/PS1 mice and amyloid-ß (Aß) oligomer-treated BECs from wild-type mice. Trans-well permeability assay showed increased FITC-dextran leakage in BECs treated with Aß, suggesting impaired BBB permeability. BECs obtained using our novel protocol can undergo various experimental analyses, including immunofluorescence staining, western blotting, real-time PCR, and trans-well permeability assay. In conclusion, our novel protocol represents a reliable and valuable tool for in vitro modelling BBB to study AD-related mechanisms and develop targeted therapeutic strategies.
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This research delves into the influence of H2Valdien derivatives on the proliferation, migration, and apoptosis induction in hepatoma carcinoma cells (HepG2, Huh-7, and SMMC-7721), with a specific emphasis on inhibiting epithelial-mesenchymal transition (EMT) through modulation of the Hedgehog (Hh) signaling pathway. Utilizing the cell counting kit-8 method, flow cytometry, TUNEL assay, wound healing, and transwell assays, we observed a dose-dependent growth arrest and apoptosis induction in HepG2, Huh-7, and SMMC-7721 cells. Notably, H2Valdien derivatives exhibited a capacity to reduce migration and invasion, impacting the expression of EMT-associated proteins such as N-cadherin, vimentin, and E-cadherin. Mechanistically, these derivatives demonstrated the inhibition of the Hh signaling pathway by inactivating Sonic Hh (Shh) and smoothened proteins. This study underscores the robust antiproliferative and apoptosis-inducing effects of H2Valdien derivatives on hepatoma carcinoma cells and elucidates their regulatory role in EMT through modulation of the Hh signaling pathway, providing valuable insights for potential therapeutic interventions.
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In the investigation of active ingredients from natural products, current technologies relying on drug-target affinity recognition analysis face significant challenges. This is primarily due to their limited specificity and inability to provide downstream pharmacodynamic information, such as agonistic or antagonistic activity. In this study, a two-point method was developed by immobilizing M3 acetylcholine receptor (M3R) through the combination of the conformation-specific peptide BJ-PRO-13a and the HaloTag trap system. We systematically assessed the specificity of the immobilized M3R using known M3R antagonists (pirenzepine and atropine) and agonists (cevimeline and pilocarpine). By frontal analysis and nonlinear chromatography, the performance of immobilized M3R was evaluated in terms of binding kinetics and thermodynamics of four drugs to the immobilized M3R. Additionally, we successfully identified two M3R antagonists within an extract from Daturae Flos (DF), specifically hyoscyamine and scopolamine. Our findings demonstrate that this immobilization method effectively captures receptor-ligand binding interactions and can discern receptor agonists from antagonists. This innovation enhances the efficiency of receptor chromatography to determine binding-affinity in the development of new drugs, offering promise for the screening and characterization of active compounds, particularly within complex natural products.
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The impairment of the blood-brain barrier (BBB) has been increasingly recognised as a critical element in the early pathogenesis of Alzheimer's disease (AD), prompting a focus on brain endothelial cells (BECs), which serve as the primary constituents of the BBB. Death receptor 6 (DR6) is highly expressed in brain vasculature and acts downstream of the Wnt/ß-catenin pathway to promote BBB formation during development. Here, we found that brain endothelial DR6 levels were significantly reduced in a murine model of AD (APPswe/PS1dE9 mice) at the onset of amyloid-ß (Aß) accumulation. Toxic Aß25-35 oligomer treatment recapitulated the reduced DR6 in cultured BECs. We further showed that suppressing DR6 resulted in BBB malfunction in the presence of Aß25-35 oligomers. In contrast, overexpressing DR6 increased the level of BBB functional proteins through the activation of the Wnt/ß-catenin and JNK pathways. More importantly, DR6 overexpression in BECs was sufficient to rescue BBB dysfunction in vitro. In conclusion, our findings provide new insight into the role of endothelial DR6 in AD pathogenesis, highlighting its potential as a therapeutic target to tackle BBB dysfunction in early-stage AD progression.
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Doença de Alzheimer , Barreira Hematoencefálica , Animais , Camundongos , Doença de Alzheimer/genética , Peptídeos beta-Amiloides , beta Catenina , Encéfalo , Células Endoteliais , Receptores do Fator de Necrose TumoralRESUMO
Background: EBV-miR-BARTs exhibit significant relevance in epithelial tumors, particularly in EBV-associated gastric and nasopharyngeal cancers. However, their specific mechanisms in the initiation and progression of gastric cancer remain insufficiently explored. Material and Methods: Initially, EBV-miRNA-BART6-5p and its target gene SMAD4 expression were assessed in EBV-associated gastric cancer tissues and cell lines. Subsequent transfection induced overexpression of EBV-miRNA-BART6-5p in AGS and MKN-45, and downregulation in EBV-positive cells (SUN-719). The subsequent evaluation aimed to observe their impact on gastric cancer cell proliferation, migration, and glycolytic processes, with the TGF-ß/SMAD4 signaling pathway value clarified using a TGF-ß inhibitor. Results: EBV-miRNA-BART6-5p exhibits pronounced upregulation in EBV-associated gastric cancer tissues and EBV-positive cells, while its target gene SMAD4 demonstrates downregulated expression. Upregulation of it can promote the proliferation and migration of gastric cancer cells. Additionally, We found EBV-miRNA-BART6-5p promotes glycolysis of gastric cancer cells. Inhibition of the TGF-ß/SMAD4 signaling pathway resulted in suppressed proliferation and migration of gastric cancer cells, concomitant with a diminished glycolytic capacity. Conclusion: In this study, we found that EBV-miRNA-BART6-5p can target SMAD4, effectively increasing glycolysis in gastric cancer cells by regulating the TGF-ß/SMAD4 signaling pathway, thereby enhancing the proliferation and metastasis of gastric cancer cells. Our findings may offer new insights into the metabolic aspects of gastric cancer.
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Movimento Celular , Proliferação de Células , Regulação Neoplásica da Expressão Gênica , Glicólise , Herpesvirus Humano 4 , MicroRNAs , Transdução de Sinais , Proteína Smad4 , Neoplasias Gástricas , Fator de Crescimento Transformador beta , Humanos , Neoplasias Gástricas/patologia , Neoplasias Gástricas/virologia , Neoplasias Gástricas/genética , Neoplasias Gástricas/metabolismo , Proteína Smad4/genética , Proteína Smad4/metabolismo , MicroRNAs/genética , Glicólise/genética , Fator de Crescimento Transformador beta/metabolismo , Fator de Crescimento Transformador beta/genética , Herpesvirus Humano 4/genética , Linhagem Celular Tumoral , Movimento Celular/genética , Infecções por Vírus Epstein-Barr/genética , Infecções por Vírus Epstein-Barr/virologia , Infecções por Vírus Epstein-Barr/metabolismo , Infecções por Vírus Epstein-Barr/complicações , Infecções por Vírus Epstein-Barr/patologia , Metástase Neoplásica , RNA Viral/genéticaRESUMO
Stress has been considered as a major risk factor for depressive disorders, triggering depression onset via inducing persistent dysfunctions in specialized brain regions and neural circuits. Among various regions across the brain, the lateral habenula (LHb) serves as a critical hub for processing aversive information during the dynamic process of stress accumulation, thus having been implicated in the pathogenesis of depression. LHb neurons integrate aversive valence conveyed by distinct upstream inputs, many of which selectively innervate the medial part (LHbM) or lateral part (LHbL) of LHb. LHb subregions also separately assign aversive valence via dissociable projections to the downstream targets in the midbrain which provides feedback loops. Despite these strides, the spatiotemporal dynamics of LHb-centric neural circuits remain elusive during the progression of depression-like state under stress. In this review, we attempt to describe a framework in which LHb orchestrates aversive valence via the input-output specific neuronal architecture. Notably, a physiological form of Hebbian plasticity in LHb under multiple stressors has been unveiled to incubate neuronal hyperactivity in an input-specific manner, which causally encodes chronic stress experience and drives depression onset. Collectively, the recent progress and future efforts in elucidating LHb circuits shed light on early interventions and circuit-specific antidepressant therapies.
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Caloric restriction (CR) or energy restriction, when carefully designed, monitored, and implemented in self-motivated and compliant individuals, proves to be a viable non-pharmacologic strategy for human weight control and obesity management. Beyond its role in weight management, CR has the potential to impede responses involved not only in the pathogenesis of various diseases but also in the aging process in adults, thereby being proposed to promote a healthier and longer life. The core objective of implementing caloric restriction is to establish a balance between energy intake and expenditure, typically involving a reduction in intake and an increase in expenditure-a negative balance at least initially. It may transition toward and maintain a more desired equilibrium over time. However, it is essential to note that CR may lead to a proportional reduction in micronutrient intake unless corresponding supplementation is provided. Historical human case reports on CR have consistently maintained adequate intakes (AI) or recommended dietary allowances (RDA) for essential micronutrients, including vitamins and minerals. Similarly, longevity studies involving non-human primates have upheld micronutrient consumption levels comparable to control groups or baseline measures. Recent randomized controlled trials (RCTs) have also endorsed daily supplementation of multivitamins and minerals to meet micronutrient needs. However, aside from these human case reports, limited human trials, and primate experiments, there remains a notable gap in human research specifically addressing precise micronutrient requirements during CR. While adhering to AI or RDA for minerals and vitamins appears sensible in the current practice, it's important to recognize that these guidelines are formulated for generally healthy populations under standard circumstances. The adequacy of these guidelines in the setting of prolonged and profound negative energy balance remains unclear. From perspectives of evidence-based medicine and precision nutrition, this field necessitates comprehensive exploration to uncover the intricacies of absorption, utilization, and metabolism and the requirement of each hydrophilic and lipophilic vitamin and mineral during these special periods. Such investigations are crucial to determine whether existing daily dietary recommendations for micronutrients are quantitatively inadequate, excessive, or appropriate when energy balance remains negative over extended durations.
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BACKGROUND: To evaluate the intraobserver repeatability and interobserver reproducibility of a newly developed dynamic real-time visualization 25 kHz swept-source optical coherence tomography (SS-OCT) based biometer (ZW-30, TowardPi Medical Technology Ltd, China) and compare its agreement with another SS-OCT based biometer (IOLMaster 700, Carl Zeiss Meditec AG, Jena, Germany). METHODS: Eighty-two healthy right eyes were enrolled in this prospective observational study. Measurements were repeated for three times using the ZW-30 and IOLMaster 700 in a random order. Obtained parameters included axial length (AL), central corneal thickness (CCT), aqueous depth (AQD), anterior chamber depth (ACD), lens thickness (LT), mean keratometry (Km), astigmatism magnitude (AST), vector J0, vector J45, and corneal diameter (CD). The within-subject standard deviation (Sw), test-retest (TRT) variability, coefficient of variation (CoV), and intraclass correlation coefficient (ICC) were adopted to assess the intraobserver repeatability and interobserver reproducibility. The double-angle plot was also used to display the distribution of AST. To estimate agreement, Bland-Altman plots were used. RESULTS: For the intraobserver repeatability and interobserver reproducibility, the Sw, TRT and CoV for all parameters were low. Meanwhile, the ICC values were all close to 1.000, except for the J45 (ICC = 0.887 for the intraobserver repeatability). The double-angle plot showed that the distribution of AST measured by these two devices was similar. For agreement, the Bland-Altman plots showed narrow 95% limits of agreements (LoAs) for AL, CCT, AQD, ACD, LT, Km AST, J0, J45, and CD (- 0.02 mm to 0.02 mm, - 7.49 µm to 8.08 µm, - 0.07 mm to 0.04 mm, - 0.07 mm to 0.04 mm, - 0.07 mm to 0.08 mm, - 0.16 D to 0.30 D, - 0.30 D to 0.29 D, - 0.16 D to 0.16 D, - 0.23 D to 0.13 D, and - 0.39 mm to 0.10 mm, respectively). CONCLUSIONS: The newly dynamic real-time visualization biometer exhibited excellent intraobserver repeatability and interobserver reproducibility. The two devices both based on the SS-OCT principle had similar ocular parameters measurement values and can be interchanged in clinical practice.
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OBJECTIVE: The aim of this study was to determine the psychological status of peritoneal dialysis (PD) patients who were blocked during the 2022 Omic Pandemic in Shanghai. METHODS: This was an observational and cross-sectional study. We selected 172 PD patients from the peritoneal dialysis center of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, during the quarantine of the Omicron pandemic in Shanghai from April to May 2022. General data and biochemical indices were collected. The Kidney Disease Quality of Life (SF-36) questionnaire was used to evaluate the psychological state of the patients during the quarantine. RESULTS: According to the assessment of the SF-36 scale, the physiological and psychological health status of PD patients was better than that before quarantine (P < 0.05). According to the comparison of biochemical indices, the high-density lipoprotein, total cholesterol and body mass index (BMI) levels were lower in patients after quarantine than before quarantine, while the blood phosphorus, blood calcium and haemoglobin levels were greater after quarantine (P < 0.05). Logistic regression analysis revealed that health changes were positively correlated with age of penetration (years) (OR = 1.031, 95% CI = 1.005-1.058); however, physiological function was negatively correlated with sex (OR = 0.198, 95% CI = 0.044-0.899). Energy was significantly positively correlated with closed-loop time (OR = 1.063, 95% CI = 1.001-1.128) (P < 0.05). There were no significant differences in biochemical indices or quality of life between APD patients and non-APD patients (P > 0.05). According to the results of the abstract independent sample T test, when comparing the various dimensions of the SF-36 scale, for the dimensions of physiological function, pain and energy, the PD patients were better than the HD patients were (P < 0.05). Similarly, for the dimension of physiological function, the HD patients were better than the PD patients were (P < 0.05). During the quarantine period from April to May in Shanghai, the infection rate of PD patients was lower than usual (P < 0.05). CONCLUSIONS: During the Omicron pandemic in Shanghai in 2022, PD patients exhibited relatively stable psychological and physiological states and a low infection rate. Compared with HD patients, PD patients had better adaptability. Especially in the context of the COVID-19 pandemic, peritoneal dialysis has more advantages.
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Pandemias , Diálise Peritoneal , Humanos , Qualidade de Vida/psicologia , Estudos Transversais , China/epidemiologia , Diálise Peritoneal/métodos , Diálise Peritoneal/psicologiaRESUMO
OBJECTIVE: ω-3 polyunsaturated fatty acids (PUFA) are a key modifiable factor in the intervention of type 2 diabetes, yet recommendations for dietary consumption of ω-3 PUFA in type 2 diabetes remain ambiguous and controversial. Here, we revisit the subject in the light of population pharmacokinetic-pharmacodynamic (PPK-PD) modeling and propose a threshold for intake. RESEARCH DESIGN AND METHODS: Plasma levels of ω-3 PUFA and glycosylated hemoglobin (HbA1c) were measured as pharmacokinetic and pharmacodynamic indicator, respectively. The nonlinear mixed effect analysis was used to construct a PPK-PD model for ω-3 PUFA and to quantify the effects of FADS gene polymorphism, age, liver and kidney function, and other covariables. RESULTS: Data from 161 patients with type 2 diabetes in the community were modeled in a two-compartment model with primary elimination, and HDL was a statistically significant covariate. The simulation results showed that HbA1c showed a dose-dependent decrease of ω-3 PUFA plasma level. A daily intake of ω-3 PUFA at 0.4 g was sufficient to achieve an HbA1c level of 7% in more than 95% of patients. CONCLUSIONS: PPK/PD modeling was proposed as a multilevel analytical framework to quantitatively investigate finer aspects of the complex relationship between ω-3 PUFA and type 2 diabetes on genetic and non-genetic influence factors. The results support a beneficial role for ω-3 PUFA in type 2 diabetes and suggested the intake threshold. This new approach may provide insights into the interaction of the two and an understanding of the context in which changes occur.
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Diabetes Mellitus Tipo 2 , Ácidos Graxos Ômega-3 , Humanos , Diabetes Mellitus Tipo 2/tratamento farmacológico , Hemoglobinas Glicadas , FígadoRESUMO
Background: In chronic renal failure (CRF), evaluating treatment efficacy and predicting prognosis is crucial. High Mobility Group Protein B1 (HMGB1) and Nod-like Receptor Protein 3 (NLRP3) were chosen as key markers in chronic renal failure to elucidate their roles in treatment response and prognosis, offering potential insights for enhancing patient care strategies. Objective: This study aims to analyze the clinical impact of HMGB1 and NLRP3 in patients with CRF undergoing hemodialysis. We investigated the relationship between HMGB1 and NLRP3 levels, the efficacy of hemodialysis treatment, and the prognosis for one-year survival. Methods: An observational study was conducted. The study included 62 CRF patients (Group A) admitted to our hospital from May 2020 to August 2022, and 40 healthy individuals undergoing routine medical check-ups during the same period (Group B). We compared the levels of HMGB1 and NLRP3 in the peripheral blood of Group A and Group B. Furthermore, we assessed changes in HMGB1 and NLRP3 before and after hemodialysis in CRF patients to evaluate treatment efficacy and prognostic indicators for one-year survival. Results: Group A exhibited significantly lower HMGB1 expression and higher NLRP3 expression compared to Group B. ROC curve analysis demonstrated that the areas under the curve (AUCs) for HMGB1 and NLRP3 in predicting effective hemodialysis for CRF were 0.884 (95% CI: 0.800-0.968) and 0.721 (95% CI: 0.594-0.848), respectively. The AUCs for HMGB1 and NLRP3 in predicting death from CRF were 0.885 (95% CI: 0.804-0.967) and 0.935 (95% CI: 0.875-0.995), respectively. Conclusions: Both HMGB1 and NLRP3 levels serve as valuable indicators for assessing the efficacy and prognosis of CRF patients undergoing hemodialysis.
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Non-small-cell lung cancer (NSCLC) is renowned for its aggressive and highly metastatic nature. In recent years, there has been a surge in interest regarding the therapeutic potential of traditional medicinal plants. Dracaena loureirin (D. loureirin), Ficus racemosa Linn. (F. racemosa), and Harrisonia perforata (Blanco) Merr. (H. perforata) are prominent traditional medicinal herbs in Thailand, recognized for their diverse biological activities, including antipyretic and anti-inflammatory effects. However, their prospective anti-cancer properties against NSCLC remain largely unexplored. This study aimed to evaluate the anti-cancer attributes of ethanolic extracts obtained from D. loureiri (DLEE), F. racemosa (FREE), and H. perforata (HPEE) against the A549 lung adenocarcinoma cell lines. Sulforhodamine B (SRB) assay results revealed that only DLEE exhibited cytotoxic effects on A549 cells, whereas FREE and HPEE showed no such cytotoxicity. To elucidate the anti-cancer mechanisms of DLEE, cell cycle and apoptosis assays were performed. The findings demonstrated that DLEE inhibited cell proliferation and induced cell cycle arrest at the G0/G1 phase in A549 cells through the downregulation of key cell cycle regulator proteins, including cyclin D1, CDK-2, and CDK-4. Furthermore, DLEE treatment facilitated apoptosis in A549 cells by suppressing anti-apoptotic proteins (Bcl-2, Bcl-xl, and survivin) and enhancing apoptotic proteins (cleaved-caspase-3 and cleaved-PARP-1). In summary, our study provides novel insights into the significant anti-cancer properties of DLEE against A549 cells. This work represents the first report suggesting that DLEE has the capability to impede the growth of A549 lung adenocarcinoma cells through the induction of apoptosis.
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In order to enhance the energy efficiency of water electrolysis, it is imperative to devise electrocatalysts for oxygen evolution reaction that are both non-precious metal-based and highly efficient. Efficient catalyst design is generally based on electronic structural engineering. Considering the electronegativity disparity between selenium (Se) and tellurium (Te), the tunable bandgaps, and the conductive metallic nature of Te. We designed a material wherein Te atoms are uniformly doped onto the surface of Cobalt tetra selenide (Co3Se4) nanorods, leading to the synthesis of a defect-rich material. Experimental results demonstrate that Te doping in Co3Se4 increases active sites and optimizes the electronic structure of Co cations, enhancing the design of multi-defect structures. This promotes the generation of the Co(oxy) hydroxide (CoOOH) active phase, enhancing catalytic activity by maximizing the binding strength between Co sites and oxygenated intermediates. Te-Co3Se4 nanorods exhibit good catalytic activity for oxygen evolution reactions, with an overpotential of 269 mV at a driving current density of 50 mA cm-2 and excellent stability in alkaline media (over 100 h). This discovery indicates the feasibility of strategically combining various imperfect structures, thereby unlocking the latent potential of diverse catalysts in electrocatalytic reactions.
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Osteoporotic fracture as a serious complication of osteoporosis which is usually treated surgically, and its recovery is closely related to one's own behavior and lifestyle, and is a long-term, complex management process that often requires the individual to self-manage many health-related factors. OBJECTIVE: To gather and synthesize the most robust evidence regarding self-management in patients with postoperative osteoporotic fractures, in order to provide scientific, evidence-based guidance for clinical healthcare professionals to assist postoperative patients in self-management efforts, and to assist patients in optimizing their self-management practices and behavioral norms. METHODS: Based on the "6 S" pyramid model of evidence resources (System, Summaries, Synopses of synthesis, Syntheses, Synopses of studies, Studies), we searched the Up To Date, BMJ Best Practice, The Cochrane Library, Australian Joanna Briggs Institute JBI Evidence-Based Medicine Center Healthcare Database, National Institute for Health and Clinical Excellence (NICE), Guidelines International Network (GIN), National Guideline Clearinghouse (NGC) and Scottish Intercollegiate Guide lines Network (SIGN), MedPulse, Embase, PubMed, CINAHL, Web of Science, SinoMed, Chinese Medical Journal Full Text Database, CNKI, Wanfang Data Knowledge Service Platform, and VIP database, etc, The search period for clinical decision-making, systematic evaluation, clinical guidelines, evidence summaries and expert consensus on self-management of postoperative osteoporotic fracture patients, and it was from the establishment of the database to 18 February 2023. To ensure the quality of the literature, three researchers strictly screened the literature according to the literature inclusion and exclusion criteria, and two or more researchers independently evaluated the quality of the included literature, and extracted and integrated the relevant evidence. RESULTS: Thirteen documents were finally included, including 4 clinical practice guidelines, 5 expert consensus, 2 recommended practices, 1 systematic evaluation, and 1 clinical decision report. The research team summarized the evidence in 6 dimensions: multidisciplinary teamwork, management of daily living, management of treatment adherence, management of exercise, management of fall prevention and subsequent fracture, and management of emotions, and 33 pieces of evidence were extracted. CONCLUSION: The study summarized 33 best evidence of self-management in postoperative osteoporotic fracture patients, which provides a scientific and reasonable self-management program for postoperative patients, and also provides important reference and information for clinical healthcare professionals to provide more comprehensive and scientific self-management health education to patients.
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Fraturas por Osteoporose , Autogestão , Humanos , Fraturas por Osteoporose/cirurgia , Austrália , Exercício Físico , Atenção à SaúdeRESUMO
Introduction: It is still controversial whether automated peritoneal dialysis (APD) or hemodialysis (HD) is a more favorable choice for the rapid initiation of peritoneal dialysis (PD). Methods: A pilot randomized prospective controlled trial was carried out in Shanghai Ruijin Hospital. Sixty-seven patients who chose long-term PD treatment and needed unplanned dialysis were enrolled and randomized into HD-CAPD group (33 cases) or APD-CAPD group (34 cases) based on the dialysis modality during the transition period (within 14 days from the day PD catheter was implanted). Continuous ambulatory PD started after the transition period. The primary outcome was the decline rates of residual glomerular filtration rate (GFR). Secondary outcomes included the rates of mechanical complications, the rates of infectious complications, and complications of end-stage renal disease. Results: We found residual GFR decline was faster in HD-CAPD group than in APD-CAPD group (0.06 mL/min/w vs. 0.03 mL/min/w, p < 0.01). The incidences of mechanical complications were similar in APD-CAPD group comparing with HD-CAPD group, including hernia (2.9% vs. 3.0%, p = 1.00), catheter malposition (0.02 episodes/patient-months vs. 0.02 episodes/patient-months, p = 0.70), leakage (5.9% vs. 6.1%, p = 1.00), and omental wrap (0 episode vs. 3 episodes, p = 0.368). Though the 1-year overall infection rates were similar (0.03 episodes/patient-months vs. 0.05 episodes/patient-months, p = 0.10), APD-CAPD group had lower rate of bacteremia compared to HD-CAPD group (0 episodes/patient-months vs. 0.02 episodes/patient-months, p < 0.01). Conclusions: Both APD and HD could be used for patients who need to start dialysis in an unplanned manner. APD may have the advantage in protecting residual renal functions among these patients.
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BACKGROUND: Head and neck cancer is the seventh most common malignancy globally. Head and neck squamous cell carcinoma (HNSCC) originates from squamous cells and 90% of HNC are HNSCC. The gold standard for diagnosing HNSCC is tissue biopsy. However, given tumour heterogeneity, biopsies may miss important cancer-associated molecular signatures, and more importantly, after the tumour is excised, there is no means of tracking response to treatment in patients. Captured under liquid biopsy, circulating tumour DNA (ctDNA), may identify in vivo molecular genotypes and complements tumour tissue analysis in cancer management. A systematic search was conducted in PubMed, Embase, Scopus and the Cochran Library between 2012 to early 2023 on ctDNA in HNSCC using publications written in English. We summarise 20 studies that compared mutational profiles between tumour tissue DNA (tDNA) and ctDNA, using a cohort of 631 HNSCC patients and 139 controls. Among these studies, the concordance rates varied greatly and the most mutated and the most concordant gene was TP53, followed by PIK3CA, CDKN2A, NOTCH1 and FAT1. Concordant variants were mainly found in Stage IV tumours, and the mutation type is mostly single nucleotide variants (SNV). We conclude that, as a biomarker for HNSCC, ctDNA demonstrates great promise as it recapitulates tumour genotypes, however additional multi-central trials are needed.
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INTRODUCTION: The aim of this work is to evaluate the intraobserver repeatability and interobserver reproducibility of corneal power measurements obtained with a swept-source optical coherence tomographer (CASIA 2, Tomey, Japan) in healthy subjects. METHODS: A total of 67 right eyes from 67 healthy subjects were enrolled. Two experienced observers measured each eye three times consecutively with the CASIA 2. Corneal power values were recorded as simulated keratometry, anterior, posterior, and total corneal power. Parameters were flattest keratometry (Kf), steepest keratometry (Ks), mean keratometry (Km), astigmatism magnitude, astigmatism power vectors J0 and J45. Intraobserver repeatability and interobserver reproducibility of the CASIA 2 were assessed by the within-subject standard deviation (Sw), test-retest repeatability (TRT), coefficients of variation (CoV), and intraclass correlation coefficients (ICCs). Double-angle plots were used for astigmatism vector analysis. RESULTS: The CASIA 2 had high repeatability for all corneal power values, with Sw values ≤ 0.17 diopters (D), TRT ≤ 0.46 D, and ICCs ranging from 0.866 to 0.998. Interobserver reproducibility was also high, showing all Sw values ≤ 0.10 D, TRT ≤ 0.27 D, and ICCs ≥ 0.944. The reproducibility of the average of three consecutive measurements (Sw 0.01-0.10 D, TRT 0.03-0.27 D, ICC 0.944-0.998) was higher than the reproducibility of single measurements (Sw 0.01-0.17 D, TRT 0.03-0.47 D, ICC 0.867-0.996). CONCLUSIONS: The CASIA 2 showed high intraobserver repeatability and interobserver reproducibility for anterior, posterior, and total corneal power measurements in 6.0-mm diameter area. In addition, we suggest that using the average of three consecutive measurements can improve reproducibility between observers, compared to single measurements only.
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Aspect-level sentiment classification task (ASCT) is a natural language processing task that aims to correctly identify specific aspects and determine their sentiment polarity from a given target sentence. Deep learning models have been proven to be effective in aspect-based sentiment classification tasks, and the mainstream Aspect-level sentiment classification (ASC) models currently constructed generally assume that the training and test datasets are Gaussian distribution (e.g., the same language). Once the data distribution changes, the ASC model must be retrained on the new distribution data to achieve good performance. However, acquiring a large amount of labeled data again typically requires a lot of manpower and money, which seems unlikely, especially for the ASC task, as it requires aspect-level annotation. This article analyzes the performance of sequence-based models, graph-based convolutional neural networks, and pre-training language models on the aspect-level sentiment classification task using two sets of comment datasets in Chinese and English, from four perspectives: classification performance, performance with different aspect numbers, specific case performance, and computational cost. In this article, we design a state-of-the-art ASC-based classification method and conduct a systematic study on eight public standard English and Chinese datasets with various commonly used assessment measures that provide directions for cross-language migration. Finally, we discuss the limitations of the study as well as future research directions.