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*

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.

This experiment aims to study the taste-masking effects of different kinds of corrigent used individually and in combination on ibuprofen oral solution, in order to optimize the taste-masking formulation. Firstly, a wide range of corrigent and the mass fractions were extensively screened using electronic tongue technology. Subsequently, a combination of sensory evaluation, analytic hierarchy process (AHP)-fuzzy mathematics evaluation, and Box-Behnken experimental design were employed to comprehensively assess the taste-masking effects of different combinations of corrigent on ibuprofen oral solution, optimize the taste-masking formulation, and validate the results. The study received ethical approval from the Review Committee of the Beijing University of Chinese Medicine (ethical code: 2024BZYLL0102). The results showed that corrigent fractions and types were screened separately through single-factor experiments. Subsequently, a Box-Behnken response surface design combined with AHP and fuzzy mathematics evaluation was used to fit a functional model: Z = 688.310 11 - 3 023.722 22X₁ - 11.477 00X₂ + 62.721 67X₃ + 14.600 00X₁X₂ - 179.666 67X₁X₃ - 3.152 00X₂X₃ + 4 031.111 11X₁² + 0.525 28X₂² + 9.772 00X₃². This model is stable and reliable, determining the optimal taste-masking formulation to be 3.9 g·L^-1 of stevioside, 100 g L^-1 of xylitol, and 30 g L^-1 of methyl-β-cyclodextrin. The comprehensive score of the verification test is 88.14, with a relative RSD of 0.39%, indicating the feasibility of this model. This study achieved the improvement of the taste of ibuprofen oral solution through a combination of objective and subjective methods. Three types of corrigent were identified for enhancing drug taste, leading to the selection of the optimal taste-masking formulation for ibuprofen oral solution. This significantly enhanced the taste of the original formulation, improved patient compliance, and offered a new approach to mitigating the undesirable taste of formulations.

Objective This study aimed to identify differentially methylated genes (DMGs) associated with natural killer cells in patients with autoimmune thyroiditis (AIT),focusing on the influence of varying water iodine exposure levels. Methods Participants were divided into categories based on median water iodine (MWI) concentrations:iodine-fortified areas (IFA,MWI<10 μg/L),iodine-adequate areas (IAA,40 ≤ MWI ≤ 100μg/L),and iodine-excessive areas (IEA,MWI>300 μg/L). A total of 176 matched AIT cases and controls were recruited and divided into 89,40,and 47 pairs for IFA,IAA,and IEA,respectively. DMGs were identified using 850K BeadChip analysis for 10/10 paired samples. Validation of DNA methylation and mRNA expression levels of the DMGs was conducted using MethylTarget? and QRT-PCR for 176/176 paired samples. Results KLRC1,KLRC3,and SH2D1B were identified as significant DMGs. Validation revealed that KLRC1 was hypomethylated and highly expressed,whereas KLRC3 was hypermethylated and highly expressed in individuals with AIT. Furthermore,KLRC1 was hypomethylated and highly expressed in both IFA and IEA. Conclusion The DNA methylation status of KLRC1 and KLRC3 may play crucial roles in AIT pathogenesis. Additionally,DNA methylation of KLRC1 seems to be influenced by different iodine concentrations in water.

Objective This study aims at establishing a teaching catalog and content for breast rare dis-eases and developing the syllabus for the breast rare disease using integrated multimodality of case-/problem-/resource-based learning(CBL+PBL+RBL).Methods By conducting bibliometrics co-occurrence analysis,we collected 6291 articles on breast rare disease published from January,1975 to June,2024.Additionally,we re-trieved the Textbook on Rare Diseases,the Catalog of Chinese Rare Disease,and Second Batch of Rare Dis-ease Catalog and then decided the teaching content.Results From 16,387 keywords,1000(6.1％)keywords were identified through co-occurrence analysis,including 50(0.3％)candidate diseases.These were classified into three categories:rare primary breast diseases,rare genetic mutation-related diseases associated with breast cancer,and rare systemic multi-system diseases involving the breast.From the candidate list,20(0.1％)rare primary breast diseases were further selected for their notable clinical teaching significance,and significant multi-systemic diseases affecting the breast,whether related to gene mutations or not.Teaching plans were draf-ted using a diversified parallel teaching approaches,taking into account the characteristics of different diseases and the focus of different teaching methods.Conclusions This study initiated the development of the teaching content for breast rare diseases and developed the teaching syllabus using the CBL+PBL+RBL integrated multi teaching model and targeting each rare breast disease for the critical point for teaching.