ObjectiveTo investigate the mechanism of action of remifentanil （RMZL） in alleviating lung ischemia-reperfusion injury （LIRI） in rats by inhibiting pyroptosis through modulating hypoxia inducible factor-1α （HIF-1α）/NOD-like receptor thermal protein domain associated protein 3 （NLRP3） pathway. MethodsRats were stochastically assigned into Control group， LIRI group， RMZL low-dose group， RMZL medium-dose group， RMZL high-dose group， and RMZL high-dose+HIF-1α activator dimethyloxallyl glycine （DMOG） group， with 18 rats in each group. Rats in Control group only had their left pulmonary hilum free and did not undergo ischemia-reperfusion treatment. Except for the Control group， LIRI models were constructed in all other groups. Rats in LIRI group were intraperitoneally injected with an equal amount of physiological saline 15 minutes before constructing LIRI model； rats in Control group were intraperitoneally injected with an equal amount of physiological saline 15 minutes before freeing left pulmonary hilum； rats in other groups were intraperitoneally injected with corresponding dose of drug 15 minutes before constructing LIRI model. The wet/dry weight ratio of lungs was calculated. HE staining was used to study lung tissue pathology. Immunofluorescence staining was used to detect the relative fluorescence intensity of gasdermin D （GSDMD） and NLRP3 double positive cells in lung tissue. ELISA was used to detect interleukin-1β and IL-18 in lung tissue. Western blot was used to detect HIF-1α， NLRP3， cysteine-aspartic protease-1 （Cleaved caspase-1）， and gasdermin D-N （GSDMD-N） proteins in lung tissue. ResultsCompared to the Control group， the LIRI group showed disordered alveolar structure， thickened alveolar septa， and abundant inflammatory cell infiltration in rats. The lung wet/dry weight ratio， relative fluorescence intensity of GSDMD and NLRP3 double positive cells in lung tissue， IL-1β， IL-18 levels， and HIF-1α， NLRP3， Cleaved caspase-1， and GSDMD-N proteins increased （P0.05）. For the LIRI group， rats in the RMZL low， medium， and high-dose groups displayed attenuated alveolar septal thickening and reduced inflammatory cell infiltration. The lung wet/dry weight ratio， relative fluorescence intensity of GSDMD and NLRP3 double positive cells in lung tissue， IL-1β， IL-18 levels， and HIF-1α， NLRP3， Cleaved caspase-1， and GSDMD-N proteins declined， and the RMZL high-dose group showed the most prominent trend （P0.05）. Compared with the RMZL high-dose group， rats in the RMZL high-dose+DMOG group exhibited thickened alveolar septa and more inflammatory cell infiltration， along with increased lung wet/dry weight ratio， relative fluorescence intensity of GSDMD and NLRP3 double positive cells in lung tissue， levels of IL-1β and IL-18， and protein expression of HIF-1α， NLRP3， Cleaved caspase-1， and GSDMD-N （P0.05）. ConclusionRMZL may inhibit pyroptosis in LIRI rats by suppressing HIF-1α/NLRP3 pathway.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

OBJECTIVE: To investigate the feasibility and effectiveness of precise-guided temporary fixation assistive devices in assisting the main nail guide pin placement and precise temporary fixation in proximal femoral nail antirotation (PFNA) internal fixation of femoral intertrochanteric fractures. METHODS: A prospective randomized controlled study was conducted to analyze the clinical data of 60 patients with femoral intertrochanteric fractures over 65 years old who met the selection criteria between January 2020 and June 2022 and were treated with PFNA internal fixation. The patients were randomly divided into the trial group (auxiliary device guided main nail guide pin placement and temporary fixation) and the control group (conventional treatment), with 30 cases in each group. There was no significant difference in baseline data such as gender, age, cause of injury, time from injury to operation, fracture side, AO/Orthopaedic Trauma Association (AO/OTA) classification, and combined medical diseases between the two groups ( P>0.05). The operation time, times of main nail guide pin placement, intraoperative fluoroscopy frequency, intraoperative blood loss, and perioperative blood transfusion were recorded and compared between the two groups. The quality of fracture reduction was evaluated by CHANG Shimin et al criteria. Harris score was used to evaluate the hip function at 1 year after operation. RESULTS: In the trial group, 2 temporary fixation needles were successfully placed 2-5 times, including 2 times in 13 cases (43.3%), 3 times in 8 cases (26.7%), 4 times in 7 cases (23.3%), and 5 times in 2 cases (6.7%). The operation time, times of main nail guide pin placement, intraoperative fluoroscopy frequency, and intraoperative blood loss in the trial group were significantly less than those in the control group, and the reduction quality score was significantly better than that in the control group ( P<0.05). There was no significant difference in perioperative blood transfusion between the two groups ( P>0.05). All patients were followed up 12-19 months (mean, 15 months). There was no complication such as incision infection, deep vein thrombosis, or internal fixation loosening. At 1 year after operation, the Harris score of the affected hip joint in the trial group was significantly higher than that in the control group ( P<0.05). CONCLUSION The technique of main nail guide pin placement and temporary fixation under the guidance of auxiliary devices in PFNA internal fixation can achieve faster insertion of the main nail guide pin, accurate temporary fixation to maintain reduction, and avoid the subsequent operation space, so as to improve the effectiveness.
Humans ; Bone Nails ; Male ; Female ; Hip Fractures/surgery* ; Fracture Fixation, Intramedullary/instrumentation* ; Aged ; Prospective Studies ; Operative Time ; Treatment Outcome ; Fracture Fixation, Internal/instrumentation* ; Aged, 80 and over

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

As a multifactorial chronic metabolic disorder with complex causes and serious health risks, obesity has drawn significant societal and medical attention. This article systematically reviewed the latest advancements in the clinical diagnosis and treatment of obesity. A disease-centered diagnosis and treatment concept has been proposed, which combines BMI and introduces a brand-new clinical diagnosis and treatment standard centered on fat content and functional disorders, such as new diagnostic markers like adipose tissue distribution, visceral adiposity, and waist-to-height ratio, to conduct a comprehensive assessment and lifespan management of patients. In recent years, novel biomarkers and artificial intelligence (AI)-assisted diagnosis have provided new tools for the diagnosis and treatment of obesity. In terms of treatment, combined therapy based on lifestyle and behavioral intervention has been widely recognized. The advent of new weight-loss drugs, such as glucagon-like peptide-1(GLP-1), minimally invasive techniques such as endoscopic sleeve gastrectomy(ESG), which reduced surgical risks, have provided possibilities for the treatment of obesity. The current concept of obesity management has become increasingly mature, feasible, and standardized. The construction principles of a weight management center, characterized by centralized management and individualized treatment, ensure the long-term stability of body weight and promote a healthy quality of life for patients with obesity.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

Cholesterol-lowering therapy is necessary in patients with hypercholesterolaemia, particularly those at high risk of atherosclerotic cardiovascular disease(ASCVD). However, in clinical practice, it is important to avoid initiating lipid-modifying treatment indiscriminately without first identifying the underlying cause. Several key principles should be emphasized in lipid management. First, cholesterol reduction should be appropriate, avoiding excessive lowering that could lead to overcorrection. Second, comprehensive management is crucial; for patients with ASCVD, lifestyle modification, including weight reduction, smoking cessation, limiting alcohol consumption, and alleviating anxiety, as important as lipid-modifying therapy. Additionally, attention should be paid to the potential adverse effects of low cholesterol levels, which warrant close monitoring throughout treatment. Finally, further evidence is needed to address the ongoing controversies regarding certain clinical outcomes.

Gene therapy, harnessing the power of CRISPR-Cas9 and/or DNAzyme systems, stands as a pivotal approach in cancer therapy, enabling the meticulous manipulation of genes pivotal to tumorigenesis and immunity. However, the pursuit of precise gene therapy encounters formidable hurdles. Herein, a near-infrared upconversion theranostic nanomachine is devised and tailors for CRISPR-Cas9/DNAzyme systems mediate precise gene therapy. An ingenious logic DNAzyme system consists of Chain 1 (C1)/Chain 2 (C2) and endogenous lncRNA is designed. We employ manganese modified upconversion nanoparticles for carrying ultraviolet-responsive C1-PC linker-C2 (C₂P) chain and Cas9 ribonucleoprotein (RNP), with outermost coats with hyaluronic acid. Upon reaching tumor microenvironment (TME), the released Mn²⁺ ions orchestrate a trifecta: facilitating endosomal escape, activating cGAS-STING signaling, and enabling T1-magnetic resonance imaging. Under near-infrared irradiation, Cas9 RNP/C₂P complex dissociates, releasing Cas9 RNP into the nucleus to perform gene editing of Ptpn2, while C1/C2 chains self-assemble with endogenous lncRNA to form a functional DNAzyme system, targeting PD-L1 mRNA for gene silencing. This strategy remodels the TME by activating cGAS-STING signaling and dual immune checkpoints blockade, thus realizing tumor elimination. Our theranostic nanomachine armed with the CRISPR-Cas9/DNAzyme logic systems, represents a resourceful and promising strategy for advancing cancer systemic immunotherapy and precise gene therapy.

Microbial communities such as those residing in the human gut are highly diverse and complex, and many with important implications for health and diseases. The effects and functions of these microbial communities are determined not only by their species compositions and diversities but also by the dynamic intra- and inter-cellular states at the transcriptional level. Powerful and scalable technologies capable of acquiring single-microbe-resolution RNA sequencing information in order to achieve a comprehensive understanding of complex microbial communities together with their hosts are therefore utterly needed. Here we report the development and utilization of a droplet-based smRNA-seq (single-microbe RNA sequencing) method capable of identifying large species varieties in human samples, which we name smRandom-seq2. Together with a triple-module computational pipeline designed for the bacteria and bacteriophage sequencing data by smRandom-seq2 in four human gut samples, we established a single-cell level bacterial transcriptional landscape of human gut microbiome, which included 29,742 single microbes and 329 unique species. Distinct adaptive response states among species in Prevotella and Roseburia genera and intrinsic adaptive strategy heterogeneity in Phascolarctobacterium succinatutens were uncovered. Additionally, we identified hundreds of novel host-phage transcriptional activity associations in the human gut microbiome. Our results indicated that smRandom-seq2 is a high-throughput and high-resolution smRNA-seq technique that is highly adaptable to complex microbial communities in real-world situations and promises new perspectives in the understanding of human microbiomes.
Humans ; Gastrointestinal Microbiome/genetics* ; Bacteriophages/physiology* ; High-Throughput Nucleotide Sequencing ; Sequence Analysis, RNA/methods* ; Bacteria/virology*