Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation.

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.

Impact of Lymph Node Dissection for Patients With Clinically Node-Negative Intrahepatic Cholangiocarcinoma: A Multicenter Cohort Study.

Background: Lymph node status is a prominent prognostic factor for intrahepatic cholangiocarcinoma (ICC). However, the prognostic value of performing lymph node dissection (LND) in patients with clinical node-negative ICC remains controversial. The aim of this study was to evaluate the clinical value of LND on long-term outcomes in this subgroup of patients. Methods: We retrospectively analyzed patients who underwent radical liver resection for clinically node-negative ICC from three tertiary hepatobiliary centers. The propensity score matching analysis at 1:1 ratio based on clinicopathological data was conducted between patients with and without LND. Recurrence-free survival (RFS) and overall survival (OS) were compared in the matched cohort. Results: Among 303 patients who underwent radical liver resection for ICC, 48 patients with clinically positive nodes were excluded, and a total of 159 clinically node-negative ICC patients were finally eligible for the study, with 102 in the LND group and 57 in the non-LND group. After propensity score matching, two well-balanced groups of 51 patients each were analyzed. No significant difference of median RFS (12.0 vs. 10.0 months, P = 0.37) and median OS (22.0 vs. 26.0 months, P = 0.47) was observed between the LND and non-LND group. Also, LND was not identified as one of the independent risks for survival. Among 51 patients who received LND, 11 patients were with positive lymph nodes (lymph node metastasis (LNM) (+)) and presented significantly worse outcomes than those with LND (-). On the other hand, postoperative adjuvant therapy was the independent risk factor for both RFS (hazard ratio (HR): 0.623, 95% confidence interval (CI): 0.393 - 0.987, P = 0.044) and OS (HR: 0.585, 95% CI: 0.359 - 0.952, P = 0.031). Furthermore, postoperative adjuvant therapy was associated with prolonged survivals of non-LND patients (P = 0.02 for RFS and P = 0.03 for OS). Conclusions: Based on the data, we found that LND did not significantly improve the prognosis of patients with clinically node-negative ICC. Postoperative adjuvant therapy was associated with prolonged survival of ICC patients, especially in non-LND individuals.

Development of a deep learning model for predicting recurrence of hepatocellular carcinoma after liver transplantation.

Background: Liver transplantation (LT) is one of the main curative treatments for hepatocellular carcinoma (HCC). Milan criteria has long been applied to candidate LT patients with HCC. However, the application of Milan criteria failed to precisely predict patients at risk of recurrence. As a result, we aimed to establish and validate a deep learning model comparing with Milan criteria and better guide post-LT treatment. Methods: A total of 356 HCC patients who received LT with complete follow-up data were evaluated. The entire cohort was randomly divided into training set (n = 286) and validation set (n = 70). Multi-layer-perceptron model provided by pycox library was first used to construct the recurrence prediction model. Then tabular neural network (TabNet) that combines elements of deep learning and tabular data processing techniques was utilized to compare with Milan criteria and verify the performance of the model we proposed. Results: Patients with larger tumor size over 7 cm, poorer differentiation of tumor grade and multiple tumor numbers were first classified as high risk of recurrence. We trained a classification model with TabNet and our proposed model performed better than the Milan criteria in terms of accuracy (0.95 vs. 0.86, p < 0.05). In addition, our model showed better performance results with improved AUC, NRI and hazard ratio, proving the robustness of the model. Conclusion: A prognostic model had been proposed based on the use of TabNet on various parameters from HCC patients. The model performed well in post-LT recurrence prediction and the identification of high-risk subgroups.

Evolutionary changes in metabolic dysfunction-associated steatotic liver disease and risk of hepatocellular carcinoma: A nationwide cohort study.

BACKGROUND/AIMS: To determine the association between evolutionary changes in metabolic dysfunction-associated steatotic liver disease (MASLD) status and the risk of hepatocellular carcinoma (HCC) in a nationwide population-based cohort. METHODS: Information on study participants was derived from the Korea National Health Insurance Service database. The study population consisted of 5,080,410 participants who underwent two consecutive biennial health screenings between 2009 and 2012. All participants were followed up until HCC, death, or 31 December 2020. The association of evolutionary changes in MASLD status, as assessed by the fatty liver index and cardiometabolic risk factors, including persistent non-MASLD, resolved MASLD, incident MASLD, and persistent MASLD, with HCC risk was evaluated using multivariable-adjusted Cox proportional hazards regression. RESULTS: Among the 5,080,410 participants with 39,910,331 person-years of follow-up, 4,801 participants developed HCC. The incidence of HCC in participants with resolved, incident, and persistent MASLD was approximately 2.2-, 2.3-, and 4.7-fold higher, respectively, than that in those with persistent non-MASLD among the Korean adult population. When stratifying the participants according to the evolutionary change in MASLD status, persistent (adjusted hazard ratio [aHR], 2.94; 95% confidence interval [CI], 2.68-3.21; P<0.001), incident (aHR, 1.85; 95% CI, 1.63-2.10; P<0.001), and resolved MASLD (aHR, 1.33; 95% CI, 1.18-1.50; P<0.001) had an increased risk of HCC compared to persistent non-MASLD. CONCLUSION: The evolutionary changes in MASLD were associated with the differential risk of HCC independent of metabolic risk factors and concomitant medications, providing additional information on the risk of HCC stratification in patients with MASLD.

[Study on mechanism of Aconitum pendulum in treating rheumatoid arthritis based on toxicity efficacy evaluation and metabonomics].

The study aims to investigate the effects and potential mechanism of raw and processed Aconitum pendulum Busch on rheumatoid arthritis(RA) and analyze their toxicity attenuating and efficacy retaining effects. The bovine type Ⅱ collagen-induced arthritis(CIA) rat model was established. The weight, cardiac index, immune organ index, and arthritis index of the rats were recorded and calculated after administration. ELISA was used to measure the expressions of creatine kinase(CK), cardiac troponin T(cTnT), and multiple factors. The pathological morphological changes in heart tissue and ankle joint tissue were observed by hematoxylin-eosin staining. Connexin 43(Cx43) expression in the hearts of CIA rats was detected via immunohistochemical method. The levels of endogenous metabolites in the serum of CIA rats were detected by UPLC-Q-TOF-MS. Potential biomarkers were screened, and related metabolic pathways were analyzed. The results showed that raw A. pendulum could induce local myocardial fiber degeneration and necrosis, increase the cardiac index, decrease the average positive area of Cx43 expression significantly, and increase the expressions of CK and cTnT in cardiac tissue of rats. Meanwhile, raw A. pendulum could decrease the immune organ index, interleukin-6(IL-6), and other inflammatory cytokine contents in the serum and improve the damaged synovium and joint surface of CIA rats, with toxicity and efficacy coexisting. The Zanba stir-fired A. pendulum could reduce the index of arthritis, immune organ index, and content of IL-6 and inflammatory cytokines in serum and improve damaged synovium and joint surface of CIA rats with no obvious cardiac toxicity, showing significant toxicity attenuating and efficacy retaining effects. A total of 19 potential biomarkers of raw A. pendulum and Zanba stir-fired A. pendulum against RA were screened by serum metabolomics, including glycerophospholipid metabolism, glycine, serine, and threonine metabolism, arginine and proline metabolism, and steroid hormone synthesis. In conclusion, Xizang medicine A. pendulum is preventive and curative for RA. Raw A. pendulum has certain cardiotoxicity, and Zanba stir-fired A. pendulum has significant toxicity attenuating and efficacy retaining effects. The anti-RA mechanism may be related to the regulation of glycerophospholipid and amino acid metabolism.

Bifunctional enzyme-mimicking metal-organic frameworks for sensitive acetylcholine analysis.

The development of nanomaterials with multi-enzyme-like activity is crucial for addressing challenges in multi-enzyme-based biosensing systems, including cross-talk between different enzymes and the complexities and costs associated with detection. In this study, Pt nanoparticles (Pt NPs) were successfully supported on a Zr-based metal-organic framework (MOF-808) to create a composite catalyst named MOF-808/Pt NPs. This composite catalyst effectively mimics the functions of acetylcholinesterase (AChE) and peroxidase (POD). Leveraging this capability, we replaced AChE and POD with MOF-808/Pt NPs and constructed a biosensor for sensitive detection of acetylcholine (ACh). The MOF-808/Pt NPs catalyze the hydrolysis of ACh, resulting in the production of acetic acid. The subsequent reduction in pH value further enhances the POD-like activity of the MOFs, enabling signal amplification through the oxidation of a colorimetric substrate. This biosensor capitalizes on pH variations during the reaction to modulate the different enzyme-like activities of the MOFs, simplifying the detection process and eliminating cross-talk between different enzymes. The developed biosensor holds great promise for clinical diagnostic analysis and offers significant application value in the field.

Nutritional risk and its correlation with related indexes in inpatients with aplastic anemia / 公共卫生与预防医学

Objective To investigate the nutritional status in patients with aplastic anemia (AA), and to analyze the influencing factors. Methods A retrospective analysis was performed on the clinical data of 152 patients with AA admitted to West China Hospital between March 2019 and March 2022. The nutritional status of all patients was screened by Nutritional Risk Screening 2002 (NRS2002). According to the screening criteria, the patients were divided into control group (46 cases, total NRS2002 score 0.05). The proportion of SAA cases in the malnutrition risk group was significantly higher than that in the control group. The levels of Alb and UIBC in the malnutrition risk group were significantly lower than those in the control group, while the levels of SF, SI and TSAT were higher than those in the control group. In addition, the levels of SF, SI and TSAT in SAA patients were higher than those in NSAA group (P<0.05). Logistic regression analysis showed that high levels of SF, SI and TSAT, and high proportion of SAA cases were risk factors of malnutrition in AA patients (P<0.05). The incidence of adverse prognosis in the malnutrition risk group was significantly higher than that in the control group, and the difference was statistically significant (P < 0.05). Conclusion Patients with AA have a higher risk of malnutrition, and high levels of SF, SI and TSAT are risk factors for malnutrition. The greater the risk of malnutrition, the more severe the poor prognosis.

Cascaded Nanozyme with In Situ Enhanced Photothermal Capacity for Tumor-Specific and Self-Replenishing Cancer Therapy.

Reactive oxygen species (ROS)-involved tumor therapeutic strategy, chemodynamic therapy (CDT), has attracted extensive research interest in the scientific community. However, the therapeutic effect of CDT is insufficient and unsustainable owing to the limited endogenous H2 O2 level in the tumor microenvironment. Here, peroxidase (POD)-like RuTe2 nanozyme with the immobilization of glucose oxidase (GOx) and allochroic 3,3',5,5'-tetramethylbenzidine (TMB) molecule have been synthesized to construct RuTe2 -GOx-TMB nanoreactors (RGT NRs) as cascade reaction systems for tumor-specific and self-replenishing cancer therapy. GOx in sequential nanocatalysts can effectively deplete glucose in tumor cells. Meanwhile, a sustainable supply of H2 O2 for subsequent Fenton-like reactions catalyzed by RuTe2 nanozyme is achieved in response to the mild acidic tumor microenvironment. Through this cascade reaction, highly toxic hydroxyl radicals (·OH) are produced, which can further oxidize TMB to trigger tumor-specific "turn-on" photothermal therapy (PTT). In addition, PTT and massive ROS can stimulate the tumor immune microenvironment and activate the systematic anti-tumor immune responses, exerting a notable effect on hindering tumor recurrence and metastasis. This study paves a promising paradigm for synergistic starvation therapy, PTT, and CDT cancer therapy with high efficiency.

Photoexcited Ru single-atomic sites for efficient biomimetic redox catalysis.

The unsatisfactory catalytic activity of nanozymes owing to their inefficient electron transfer (ET) is the major challenge in biomimetic catalysis-related biomedical applications. Inspired by the photoelectron transfers in natural photoenzymes, we herein report a photonanozyme of single-atom Ru anchored on metal-organic frameworks (UiO-67-Ru) for achieving photoenhanced peroxidase (POD)-like activity. We demonstrate that the atomically dispersed Ru sites can realize high photoelectric conversion efficiency, superior POD-like activity (7.0-fold photoactivity enhancement relative to that of UiO-67), and good catalytic specificity. Both in situ experiments and theoretical calculations reveal that photoelectrons follow the cofactor-mediated ET process of enzymes to promote the production of active intermediates and the release of products, demonstrating more favorable thermodynamics and kinetics in H2O2 reduction. Taking advantage of the unique interaction of the Zr-O-P bond, we establish a UiO-67-Ru-based immunoassay platform for the photoenhanced detection of organophosphorus pesticides.

Pure laparoscopic versus open left lateral hepatectomy in pediatric living donor liver transplantation: a review and meta-analysis.

PURPOSE: The meta-analysis was conducted to evaluate the safety and feasibility of pure laparoscopic left lateral hepatectomy in comparison with open approach for pediatric living donor liver transplantation (LDLT). METHODS: A systemic literature survey was performed by searching the PubMed, EMBASE and Cochrane Library databases for articles that compared pure laparoscopic left lateral living donor hepatectomy (LLDH) and open left lateral living donor hepatectomy (OLDH) by November 2021. Meta-analysis was performed to assess donors' and recipients' perioperative outcomes using RevMan 5.3 software. RESULTS: A total of five studies involving 432 patients were included in the analysis. The results demonstrated that LLDH group had significantly less blood loss (WMD = -99.28 ml, 95%CI -152.68 to -45.88, p = 0.0003) and shorter length of hospital stay (WMD = -2.71d, 95%CI -3.78 to -1.64, p < 0.00001) compared with OLDH group. A reduced donor overall postoperative complication rate was observed in the LLDH group (OR = 0.29, 95%CI 0.13-0.64, p = 0.002). In the subgroup analysis, donor bile leakage, wound infection and pulmonary complications were similar between two groups (bile leakage: OR = 1.31, 95%CI 0.43-4.02, p = 0.63; wound infection: OR = 0.38, 95%CI 0.10-1.41, p = 0.15; pulmonary complications: OR = 0.24, 95%CI 0.04-1.41, p = 0.11). For recipients, there were no significant difference in perioperative outcomes between the LLDH and OLDH group, including mortality, overall complications, hepatic artery thrombosis, portal vein and biliary complications. CONCLUSION: LLDH is a safe and effective alternative to OLDH for pediatric LDLT, reducing invasiveness and benefiting postoperative recovery. Future large-scale multi-center studies are expected to confirm the advantages of LLDH in pediatric LDLT.

Amino-Ligand-Coordinated Dicopper Active Sites Enable Catechol Oxidase-Like Activity for Chiral Recognition and Catalysis.

Developing highly active and selective advanced nanozymes for enzyme-mimicking catalysis remains a long-standing challenge for basic research and practical applications. Herein, we grafted a chiral histidine- (His-) coordinated copper core onto Zr-based metal-organic framework (MOF) basic backbones to structurally mirror the bimetal active site of natural catechol oxidase. Such a biomimetic fabricated process affords MOF-His-Cu with catechol oxidase-like activity, which can catalyze dehydrogenation and oxidation of o-diphenols and then transfer electrons to O2 to generate H2O2 by the cyclic conversion of Cu(II) and Cu(I). Specifically, the elaborate incorporation of chiral His arms results in higher catalytic selectivity over the chiral catechol substrates than natural enzyme. Density functional theory calculations reveal that the binding energy and potential steric effect in active site-substrate interactions account for the high stereoselectivity. This work demonstrates efficient and selective enzyme-mimicking catalytic processes and deepens the understanding of the catalytic mechanism of nanozymes.

Effects of diflubenzuron on shrimp (Neocaridina palmata) in freshwater systems dominated by submerged plant (Ceratophyllum demersum).

Diflubenzuron (DFB) is a benzoylbenzourea insect growth regulator widely used in agriculture, horticulture, and vector control. Therefore, it can easily pollute water bodies and cause harm to aquatic life and ecosystems. To evaluate the impact of DFB on atyid shrimp Neocaridina palmate, the insecticide was applied, at 0, 0.74, 2.222, 6.667, 20, and 60 µg L-1, to indoor systems dominated by submerged plant Ceratophyllum demersum. The highest no observed effect concentration and the lowest observed effect concentration was determined to be 0.167 and 0.536 µg L-1, respectively, as it was counted with either activity or immune-reactive content of chitobiase. Subcellular indices were more sensitive, with a lowest observed effect concentration below 0.107 µg L-1. Principal response curves (PRC) and principal component analysis (PCA) showed that DFB reduced the biomass of C. demersum and the content of chlorophyll-a and phycocyanin in the media. The biomass of periphyton were promoted at the high concentrations. According to the PRC and PCA, DFB reduced the bacterial population related to photoautotrophy, sulphur reduction, and sulphur oxidation and it promoted those related to photoheterotrophy, nitrate reduction, nitrate denitrification, and nitrogen fixation. Besides, DFB reduced fungi related to denitrification. PRC and PCA showed that DFB had a negative impact on pH and dissolved oxygen levels and a positive impact on NH4-N, NO2-N, PO4-P, and conductivity, suggesting the deterioration in quality of water. This study provided useful information for understanding the ecotoxicological effects of DFB at population and community levels.

Research on the reform of position setting and performance evaluation in medical research institutes under the background of institute integration / 中华医学科研管理杂志

Objective:To explore the collaborative innovation development mechanism of hospitals and research institutes, fully integrate the institute personnel with hospitals, and conduct classified management and performance appraisal, promoting the integrated development of hospitals and research institutes.Methods:The idea of personnel classification, the establishment of an integrated research team, and technical team groupings and service directions were determined through key informant interviews, research ability and technical strength surveys, and other research methods; The performance appraisal scheme of research teams were established by using literature analysis and optimization and Delphi expert investigation; The platform team assessment programs were established by qualitative research methods.Results:Built a position setting framework for research institutes, formed hospital-institute integrated research teams around the hospital's clinical advantageous disciplines with researchers and clinical staff, set up platform teams based on existing equipment and technicians′ specialties, established a performance appraisal scheme for research teams based on Science and Technology Evaluation Metrics(STEM), determined a full-dimensional comprehensive performance evaluation scheme for the technology platforms based on service volume and quality.Conclusions:This study formulated a set of position setting and performance evaluation schemes that fit with the current situation of municipal research institutes, and explored a new scientific research cooperation mechanism of resource sharing, team co-construction, and technology sharing, which can provide a certain reference value for the reform of other medical research institutes.

Tuning iron spin states in single-atom nanozymes enables efficient peroxidase mimicking.

The large-scale application of nanozymes remains a significant challenge owing to their unsatisfactory catalytic performances. Featuring a unique electronic structure and coordination environment, single-atom nanozymes provide great opportunities to vividly mimic the specific metal catalytic center of natural enzymes and achieve superior enzyme-like activity. In this study, the spin state engineering of Fe single-atom nanozymes (FeNC) is employed to enhance their peroxidase-like activity. Pd nanoclusters (PdNC) are introduced into FeNC, whose electron-withdrawing properties rearrange the spin electron occupation in Fe(ii) of FeNC-PdNC from low spin to medium spin, facilitating the heterolysis of H2O2 and timely desorption of H2O. The spin-rearranged FeNC-PdNC exhibits greater H2O2 activation activity and rapid reaction kinetics compared to those of FeNC. As a proof of concept, FeNC-PdNC is used in the immunosorbent assay for the colorimetric detection of prostate-specific antigen and achieves an ultralow detection limit of 0.38 pg mL-1. Our spin-state engineering strategy provides a fundamental understanding of the catalytic mechanism of nanozymes and facilitates the design of advanced enzyme mimics.

A High-Performance and Flexible Architecture for Accelerating SDN on the MPSoC Platform.

Software-defined networking has been developing in recent years and the separation of the control plane and the data plane has made networks more flexible. Due to its flexibility, the software method is used to implement the data plane. However, with increasing network speed, the CPU is becoming unable to meet the requirements of high-speed packet processing. FPGAs are usually used as dumb switches to accelerate the data plane, with all intelligence centralized in the remote controller. However, the cost of taking the intelligence out of the switch is the increased latency between the controller and the switch. Therefore, we argue that the control decisions should be made as locally as possible. In this paper, we propose a novel architecture with high performance and flexibility for accelerating SDN based on the MPSoC platform. The control plane is implemented in the on-chip CPU and the data plane is implemented in the FPGA logic. The communication between the two components is performed using Ethernet communication. We design a high-performance TCAM based on distributed RAM. The architecture employs a pipeline design with modules connected via the AXI Stream interface. The designed architecture is flexible enough to support multiple network functions while achieving high performance at 100 Gbps. As far as we know, the architecture is the first proposed in the design of a 100 Gbps system.