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.

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

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*

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.

AIM To establish an HPLC method for the simultaneous content determination of gallic acid,protocatechuic acid,morroniside,loganin,sweroside,paeoniflorin,hypericin,astragalin,salvianolic acid B,salvianolic acid A,epimedin C and icariin in Bushen Huoxue Sanjie Capsules.METHODS The analysis was performed on a 30℃thermostatic Agilent 5 TC-C18 column(250 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1%phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelength was set at 240 nm.RESULTS Twelve constituents showed good linear relationships within their own ranges(r≥0.999 8),whose average recoveries were 97.11%-101.14%with the RSDs of 0.60%-2.65%.CONCLUSION This simple,accurate and reproducible method can be used for the quality control of Bushen Huoxue Sanjie Capsules.

Objective: The study aims to analyze the prevalence and associated factors of myopia among 4 to 9 grade students in Guangdong Province in 2022, so as to provide a scientific basis for targeted intervention measures for myopia in children and adolescents. Methods: From September to October 2022, stratified cluster random sampling was used to select 29 095 of 4 to 9 grade students from Guangzhou, Jiangmen, and Meizhou in Guangdong Province for myopia screening and questionnaire surveys. The Chisquare test was applied to compare the differences between groups, and multivariable Logistic stepwise regression analysis was used to analyze factors associated with myopia. Results: The myopia detection rate of 4 to 9 grade students was 61.7%, with detection rates of 51.5% for 4 to 6 grade primary school students and 71.95% for 7 to 9 grade junior high school students. Multivariable Logistic regression analysis showed that higher myopia rates were detected among girls (OR=1.39, 95%CI=1.30-1.49), students with one (OR=1.82, 95%CI=1.69-1.96) or both parents having myopia (OR=2.86, 95%CI=2.56-3.18), and indoor sedentary time >6 h(OR=1.28, 95%CI=1.17-1.39) in the 4 to 6 grade. Lower myopia rates were detected in the county (OR=0.92, 95%CI=0.86-0.99) and outdoors at recess activities (OR=0.88, 95%CI=0.81-0.95). Meanwhile, higher myopia rates were detected among girls (OR=1.84, 95%CI=1.69-1.99), students with one (OR=1.87, 95%CI=1.71-2.04) or both parents having myopia (OR=3.03, 95%CI=2.63-3.50), and indoor sedentary time >6 h/d (OR=1.11, 95%CI=1.01-1.23) in the 7 to 9 grade. Lower myopia rates were detected in the county (OR=0.74, 95%CI=0.68-0.80), outdoors at recess activities (OR=0.83, 95%CI=0.76-0.91), and outdoor activity time ≥2 h/d(OR=0.87, 95%CI=0.80-0.95)(P<0.05). Conclusions The detection rate of myopia among 4 to 9 grade students in Guangdong Province is relatively high. Place of recess activities, daily outdoor activity and indoor sedentary duration are associated with myopia. Therefore, targeted intervention measures should be adopted, such as appropriately increasing outdoor activity to reduce the occurrence of myopia among primary and middle school students.

Objective: To analyze the correlation between refractive errors and physical development indicators among primary school students aged 6 to 9, so as to provide a scientific basis for the development of effective prevention and control measures. Methods: A stratified cluster random sampling method was used to recruit 2 833 elementary school students aged 6 to 9 from Guangdong Province for vision screening, ocular biometry, and physical examinations in Octorber, 2020. The Chi square test, t-test, and ANOVA were employed to compare myopia rates and indicator values across different groups. Multiple linear regression models were used to analyze the correlations between height, weight, and body mass index (BMI) with refractive development indicators. Results: The screening myopia rate among primary school students aged 6 to 9 was 16.7%, and the myopia rate increased with age ( χ 2= 51.58 , P <0.01). The height and weight of the myopic group [(126.96±7.41)cm, (26.59±6.45)kg] were higher than those of the non myopic group [(124.76±7.77)cm, (25.42±5.87)kg] ( t =5.84, 3.65, P <0.01). The mean values of spherical equivalent (SE), axial length (AL), anterior chamber depth (ACD), and AL/corneal curvature radius (CR) ratio for students aged 6 to 9 were (-0.17±1.04)D, (22.96±0.78)mm, (3.38±0.24)mm, and (2.95±0.08), respectively, with statistically significant differences across different age and myopia severity groups ( t =37.08, 119.20, 41.54, 133.60; 935.30, 184.10, 73.95, 498.50, P < 0.01). After adjusting for gender, age, and residence, the multiple linear regression model showed that height was positively correlated with AL and CR, weight was positively correlated with ACD, and BMI was positively correlated with AL and ACD ( β = 0.191 , 0.070, 0.035, 0.013, 0.007, P <0.05). When stratified by myopia status, results for the non-myopic group were similar to the overall results, whereas in the myopic group, the correlations between height, BMI, and AL were not statistically significant ( P > 0.05). Conclusions Among primary school students aged 6 to 9, height and BMI are positively correlated with AL in the non myopic group but no similar correlation is observed in the myopic group, indicating that factors other than physical development, such as environmental and behavioral factors, should be considered for their impact on refractive development.