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Hepatitis B virus (HBV) is a hepatotropic virus, which damage to hepatocytes is not direct, but through the immune system. HBV specific CD4 + T cells can induce HBV specific B cells and CD8 + T cells. HBV specific B cells produce antibodies to control HBV infection, while HBV specific CD8 + T cells destroy infected hepatocytes. One of the reasons for the chronicity of HBV infection is that it cannot effectively activate adoptive immunity and the function of virus specific immune cells is exhausted. Among them, virus antigens (including HBV surface antigen, e antigen, core antigen, etc.) can inhibit the function of immune cells and induce immune tolerance. Long term nucleos(t)ide analogues (NAs) treatment and inactive HBsAg carriers with low HBsAg level may “wake up” immune cells with abnormal function due to the decrease of viral antigen level in blood and liver, and the specific immune function of HBV will recover to a certain extent, thus becoming the “dominant population” for functional cure. In turn, the functional cure will further promote the recovery of HBV specific immune function, which is also the theoretical basis for complete cure of hepatitis B. In the future, the complete cure of chronic HBV infection must be the combination of three drugs: inhibiting virus replication, reducing surface antigen levels and specific immune regulation, among which specific immunotherapy is indispensable. Here we review the relationship, mechanism and clinical significance between the cure of hepatitis B and immune system.

Non ferrous metal casting ingots must carry relevant production information, usually using manual pasting of copper coated paper, manual lifting of spray code, and pneumatic marking methods. These methods have a low degree of automation and severe material waste. To this end, genetic algorithm (GA) is used to guide sampling of random sample consensus algorithm (RANSAC) based on probability, and the two are combined for simulation to optimize the shortcomings of RANSAC algorithm in random sampling. On the ground of the optimized RANSAC to fit the plane equation, the normal vector of the plane is calculated, and the angle between the coordinate axis and the normal vector in the pendulum coordinate system is determined through the normal vector, enabling automatic alignment and vertical focusing functions to be achieved. Finally, based on the actual situation, the marking position is determined using set relationships to achieve motion control of mechanical functions. A laser marking method for non-ferrous metal casting ingots based on the improved RANSAC algorithm was designed. Through experimental analysis, it was found that the average F1 value of the method is 96.42, the average accuracy is 98.24%, the RMSE is 0.236, and the running time is 18.40 seconds. The F1 value represents the combined performance of the model's accuracy and recall rate when dealing with the marking task. Combined with the above results, it can be seen that the research and design method can efficiently and accurately laser marking metal casting ingot, and improve production efficiency.

Today, diabetes is one of the most common, chronic, and, due to some complications, deadliest diseases in the world. The early detection of diabetes is very important for its timely treatment since it can stop the progression of the disease. The proposed method can help not only to predict the occurrence of diabetes in the future but also to determine the type of the disease that a person experiences. Considering that type 1 diabetes and type 2 diabetes have many differences in their treatment methods, this method will help to provide the right treatment for the patient. By transforming the task into a classification problem, our model is mainly built using the hidden layers of a deep neural network and uses dropout regularization to prevent overfitting. We tuned a number of parameters and used the binary cross-entropy loss function, which obtained a deep neural network prediction model with high accuracy. The experimental results show the effectiveness and adequacy of the proposed DLPD (Deep Learning for Predicting Diabetes) model. The best training accuracy of the diabetes type data set is 94.02174%, and the training accuracy of the Pima Indians diabetes data set is 99.4112%. Extensive experiments have been conducted on the Pima Indians diabetes and diabetic type datasets. The experimental results show the improvements of our proposed model over the state-of-the-art methods.

Dyslipidaemias is the leading risk factor of several major cardiovascular diseases (CVDs), but there is still a lack of sufficient evidence supporting a causal role of lipoprotein subspecies in CVDs. In this study, we comprehensively investigated several lipoproteins and their subspecies, as well as other metabolites, in relation to coronary heart disease (CHD), heart failure (HF) and ischemic stroke (IS) longitudinally and by Mendelian randomization (MR) leveraging NMR-measured metabolomic data from 118,012 UK Biobank participants. We found that 123, 110 and 36 analytes were longitudinally associated with myocardial infarction, HF and IS (FDR < 0.05), respectively, and 25 of those were associated with all three outcomes. MR analysis suggested that genetically predicted levels of 70, 58 and 7 analytes were associated with CHD, HF and IS (FDR < 0.05), respectively. Two analytes, ApoB/ApoA1 and M-HDL-C were associated with all three CVD outcomes in the MR analyses, and the results for M-HDL-C were concordant in both observational and MR analyses. Our results implied that the apoB/apoA1 ratio and cholesterol in medium size HDL were particularly of importance to understand the shared pathophysiology of CHD, HF and IS and thus should be further investigated for the prevention of all three CVDs.

Background This study aimed to explore the association between the triglyceride-glucose (TyG) index and the risk of in-hospital mortality in critically ill patients with sepsis. Methods This was a retrospective observational cohort study and data were obtained from the Medical Information Mart for Intensive Care-IV (MIMIC IV2.2) database. The participants were grouped into three groups according to the TyG index tertiles. The primary outcome was in-hospital all-cause mortality. Multivariable logistics proportional regression analysis and restricted cubic spline regression was used to evaluate the association between the TyG index and in-hospital mortality in patients with sepsis. In sensitivity analysis, the feature importance of the TyG index was initially determined using machine learning algorithms and subgroup analysis based on different subgroups was also performed. Results 1,257 patients (56.88% men) were included in the study. The in-hospital, 28-day and intensive care unit (ICU) mortality were 21.40%, 26.17%, and 15.43% respectively. Multivariate logistics regression analysis showed that the TyG index was independently associated with an elevated risk of in-hospital mortality (OR 1.440 [95% CI 1.106–1.875]; P = 0.00673), 28-day mortality (OR 1.391; [95% CI 1.52–1.678]; P = 0.01414) and ICU mortality (OR 1.597; [95% CI 1.188–2.147]; P = 0.00266). The restricted cubic spline regression model revealed that the risks of in-hospital, 28-day, and ICU mortality increased linearly with increasing TyG index. Sensitivity analysis indicate that the effect size and direction in different subgroups are consistent, the results is stability. Additionally, the machine learning results suggest that TyG index is an important feature for the outcomes of sepsis. Conclusion Our study indicates that a high TyG index is associated with an increased in-hospital mortality in critically ill sepsis patients. Larger prospective studies are required to confirm these findings.

Background The combination therapy of hydrocortisone, vitamin C, and thiamine has been proposed as a potential treatment in patients with sepsis and septic shock. However, subsequent trials have reported conflicting results in relation to survival outcomes. Hence, we performed this randomized controlled trial (RCT) to evaluate the efficacy and safety of early combination therapy among adult patients with septic shock. Methods This single-center, double-blind RCT enrolled adult patients with diagnosis of septic shock within 12 h from Northern Jiangsu People's Hospital between February 2019 and June 2021. Recruited patients were randomized 1:1 to receive intervention (hydrocortisone 200 mg daily, vitamin C 2 g every 6 h, and thiamine 200 mg every 12 h) or placebo (0.9% saline) for 5 days or until ICU discharge. The primary endpoint was 90-day mortality. The secondary endpoints included mortality at day 28, ICU discharge, and hospital discharge; shock reversal; 72-h Delta SOFA score; ICU-free days, vasopressor-free days, and ventilator support -free days up to day 28; ICU length of stay (LOS) and hospital LOS. Results Among 426 patients randomized, a total of 408 patients with septic shock were included in the per-protocol (PP) analysis, of which 203 were assigned to the intervention group and 205 to the placebo group. In the PP population, the primary outcome of 90-day mortality was 39.9% (81/203) and 39.0% (80/205) in the intervention and the placebo groups, respectively, and was not significantly different ( P  = 0.86). There was no significant difference between two groups in 28-day mortality (36.5% vs. 36.1%, P  = 0.94) or the ICU mortality (31.5% vs. 28.8%, P  = 0.55) and hospital mortality (34.5% vs. 33.2%, P  = 0.78). No other secondary outcomes showed significant differences between two groups, including shock reversal, vasopressor-free days, and ICU LOS. Intention-to-treat analysis included all the 426 patients and confirmed these results (all P  > 0.05). Conclusion Among adult patients with septic shock, early use of hydrocortisone, vitamin C, and thiamine combination therapy compared with placebo did not confer survival benefits. Trial registration ClinicalTrials.gov: NCT03872011 , registration date: March 12, 2019. Graphic Abstract

Objective This meta-analysis systematically evaluated the effectiveness and safety of immune checkpoint inhibitors (ICIs) in treating advanced cervical cancer, emphasizing their potential as transformative therapeutic options in this complex clinical landscape. Methods EMBASE, Web of Science, PubMed, and the Cochrane Library were thoroughly searched for articles on the outcomes of ICIs in advanced cervical cancer patients. A pooled analysis was performed to evaluate the objective response rate (ORR: reported as an odds ratio (OR), progression-free survival (PFS; hazard ratio (HR), overall survival (OS; HR), and safety outcomes risk ratio (RR). Subgroup and sensitivity analyses were also conducted to identify potential sources of bias and heterogeneity. Results Our meta-analysis included 5 studies involving 3,112 patients. Compared with standard therapies, treatment with immune checkpoint inhibitors (ICIs) significantly improved the objective response rate (ORR; OR = 1.68, 95% CI = 1.27–2.23), prolonged progression-free survival (PFS; HR = 0.72, 95% CI = 0.65–0.80), and extended overall survival (OS; HR = 0.69, 95% CI = 0.61–0.79). Subgroup analyses revealed potential predictors of treatment response. Moreover, ICIs exhibit a manageable safety profile, with adverse events consistent with known immune-related toxicities. Conclusion This meta-analysis highlights the promising efficacy and favourable safety profile of immune checkpoint inhibitors in advanced cervical cancer. These findings suggest a paradigm shift in treatment strategies, with ICIs emerging as a potential cornerstone therapy. Further research is warranted to elucidate optimal patient selection, combination therapies, and long-term outcomes. This study provides valuable insights for clinicians and researchers, paving the way for personalized and effective treatment approaches for advanced cervical cancer.

Abstract To solve travelling salesman problems (TSPs), most existing evolutionary algorithms search for optimal solutions from zero initial information without taking advantage of the historical information of solving similar problems. This paper studies a transfer learning-based particle swarm optimization (PSO) algorithm, where the optimal information of historical problems is used to guide the swarm to find optimal paths quickly. To begin with, all cities in the new and historical TSP problems are clustered into multiple city subsets, respectively, and a city topology matching strategy based on geometric similarity is proposed to match each new city subset to a historical city subset. Then, on the basis of the above-matched results, a hierarchical generation strategy of the feasible path (HGT) is proposed to initialize the swarm to improve the performance of PSO. Moreover, a problem-specific update strategy, i.e. the particle update strategy with adaptive crossover and clustering-guided mutation, is introduced to enhance the search capability of the proposed algorithm. Finally, the proposed algorithm is applied to 20 typical TSP problems and compared with 12 state-of-the-art algorithms. Experimental results show that the transfer learning mechanism can accelerate the search efficiency of PSO and make the proposed algorithm achieve better optimal paths. Graphical Abstract Graphical Abstract

In both plants and animals, multiple cellular processes must be orchestrated to ensure proper organogenesis. The cell division patterns control the shape of growing organs, yet how they are precisely determined and coordinated is poorly understood. In plants, the distribution of the phytohormone auxin is tightly linked to organogenesis, including lateral root (LR) development. Nevertheless, how auxin regulates cell division pattern during lateral root development remains elusive. Here, we report that auxin activates Mitogen-Activated Protein Kinase (MAPK) signaling via transmembrane kinases (TMKs) to control cell division pattern during lateral root development. Both TMK1/4 andMKK4/5-MPK3/6 pathways are required to properly orient cell divisions, which ultimately determine lateral root development in response to auxin. We show that TMKs directly and specifically interact with and phosphorylate MKK4/5, which is required for auxin to activate MKK4/5-MPK3/6 signaling. Our data suggest that TMK-mediated noncanonical auxin signaling is required to regulate cell division pattern and connect auxin signaling to MAPK signaling, which are both essential for plant development.

Background Tobacco is a major risk factor for chronic respiratory diseases (CRDs), yet the global distribution and trends of tobacco-related CRD burdens remain inadequately explored. Methods This study extracted data on mortality, disability-adjusted life years (DALYs), age-standardized mortality rate (ASMR), and age-standardized DALY rate (ASDR) related to tobacco-attributable CRDs from the 2021 Global Burden of Disease (GBD) study. Joinpoint regression was used to identify temporal trends in age-standardized rates (ASR), while autoregressive integrated moving average (ARIMA) forecasting was applied to project future trends in ASMR and ASDR for tobacco-related CRDs. Results In 2021, global tobacco-related CRD deaths and DALYs reached 1,545,686 (95% UI: 1,144,476-1,942,541) and 33,014,429 (95% UI: 24,275,462 − 40,930,821), representing increases of 25.43% and 15.64%, respectively, since 1990. Elderly individuals and males showed a higher disease burden. Between 1990 and 2021, ASMR [average annual percentage change (AAPC) = -2.009 (95% CI: -1.8915 to -2.1263)] and ASDR [AAPC = -2.1057 (95% CI: -2.0123 to -2.199)] for tobacco-related CRDs showed a declining trend globally, with autoregressive integrated moving average forecasting suggesting continued declines in ASMR and ASDR in the future. Regionally, South Asia, East Asia, and Oceania had the highest CRD burdens, while country-specific data indicated that Nepal, Myanmar, Papua New Guinea, Kiribati, and the Democratic People’s Republic of Korea bore significant burdens. The ASMR and ASDR of tobacco-related CRDs were highest in regions and countries with Socio-Demographic Index values between 0.4 and 0.5. Conclusion Although global tobacco-related CRD deaths and DALYs have continued to increase, ASMR and ASDR are on the decline, with variations across geographic regions. Prevention and control strategies tailored to country-specific disease prevalence are essential to mitigate these burdens.