The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

BackgroundSevere mental disorders represent a major public health concern due to the high disability rates and substantial disease burden， which has garnered significant national attention and prompted their inclusion in public health project management systems. However， credible evidence regarding the current status of disease management and factors influencing disease stabilization among patients with severe mental disorders in Luzhou City， Sichuan Province， remains limited. ObjectiveTo investigate the current management status of patients with severe mental disorders in Luzhou City， Sichuan Province， and to analyze influencing factors of disease stabilization among patients under standardized care， so as to provide evidence-based insights for developing targeted management strategies to optimize clinical interventions for this patient population. MethodsIn March 2023， data were extracted from the Sichuan Mental Health Service Comprehensive Management Platform for patients with severe mental disorders in Luzhou City who received management between December 2017 and December 2022. Information on mental health service utilization and clinical status changes was collected. Trend analysis was conducted to evaluate temporal changes in key management indicators for severe mental disorders in Luzhou City. Logistic regression analysis was employed to identify factors influencing the disease stabilization or fluctuation of these patients. ResultsThis study enrolled a total of 20 232 patients. In Luzhou City， the stabilization rate and standardized management rate of severe mental disorders were 94.89% and 79.36% in 2017， respectively， which increased to 95.33% and 96.92% by 2022. The regular medication adherence rate rose from 34.42% in 2018 to 86.81% in 2022. In 2022， the regular medication adherence rate was 71.80% for schizophrenia， 55.26% for paranoid psychosis， and 51.43% for schizoaffective disorder. Multivariate analysis identified the following protective factors for disease stabilization： age of 18~39 years （OR=0.613， 95% CI： 0.409~0.918）， age of 40~65 years （OR=0.615， 95% CI： 0.407~0.931）， urban residence （OR=0.587， 95% CI： 0.478~0.720）， and regular medication adherence （OR=0.826， 95% CI： 0.702~0.973）. Risk factors for disease fluctuation included poor （OR=1.712， 95% CI： 1.436~2.040）， non-inclusion in care-support programs （OR=1.928， 95% CI： 1.694~2.193）， non-participation in community rehabilitation （OR=2.255， 95% CI： 1.930~2.634）， and intermittent medication adherence （OR=3.893， 95% CI： 2.548~5.946）. ConclusionThe stability rate， standardized management rate， and regular medication adherence rate of patients with severe mental disorders in Luzhou City have shown a year-by-year increase. Age， household registration status， economic condition， medication compliance， and community-based rehabilitation were identified as influencing factors for disease fluctuation in these patients. ［Funded by Luzhou Science and Technology Plan Project （number， 2022-ZRK-186）］

Objective: This study aims to explore the influencing factors, formation mechanisms, and treatment methods of labial protuberance in the anterior maxilla during orthodontic treatment, providing a reference for clinical practice. Method: This study reports a case where the absence of upper anterior teeth 11 and 21, and the retraction tilting movement of teeth 12 and 22, resulted in labial protuberance and gingival hyperplasia. Alveolar osteoplasty and gingivoplasty were performed. The specific changes in the alveolar bone during the retraction of the anterior teeth and the characteristics of its remodeling were analyzed. Combined with relevant literature, the factors influencing the formation of labial protuberance in orthodontic patients, mechanisms, and methods for prevention and treatment were summarized. Results: After periodental surgery follow-up for 6 months, the gingival color and shape of teeth 12 and 22 were good, the labial alveolar bone was normal, and the overall condition was stable. A review of the literature showed that labial protuberance is more common in adult orthodontic patients, and the distance (>4 mm) and speed of retraction of anterior teeth are related to its formation, with the main mechanism likely being differential remodeling of the alveolar bone. In adult patients, the number of active osteoblasts and osteoclasts in the alveolar bone decreases, along with a reduction in metabolic activity and overall cellular activity, which diminishes the reactivity of the alveolar bone. After treatment of anterior teeth retraction, there is insufficient labial bone resorption. Moreover, the lack of mechanical stress-mediated periodontal ligament in the interdental space leads to reduced bone remodeling stimulation in this area, resulting in thickening of the labial alveolar bone of the upper anterior teeth. The remodeling rates of cortical and trabecular bone differ, with active trabecular bone proliferation near the tooth root surface and slow cortical bone resorption near the outer surface, which ultimately results in increased bone thickness at the labial cervical region. Specific case analysis indicates that the retraction distance of the upper anterior teeth in this case was about 6 mm. The alveolar bone at the missing sites of teeth 11 and 21, lacking periodontal ligament stimulation, showed less remodeling and absorption, likely appearing as hyperplasia. The prevention of labial bone protrusion mainly involves controlling the speed and distance of retraction of anterior teeth. Smaller labial protuberances generally do not require treatment, but those affecting function and aesthetics can be addressed with periodontal alveolar osteoplasty. Conclusion After the retraction of anterior teeth in orthodontics, a prominent, hard bone protuberance on the labial side can sometimes occur, which may be due to differential remodeling efficiency in different regions of the alveolar bone. For bone protuberance that influences aesthetics or function, periodontal alveolar osteoplasty can be a reliable option.

Background/Aims: The World Health Organization set the goal of eliminating hepatitis C virus (HCV) by 2030, with 80% and 65% reductions in HCV incidence and mortality rates, respectively. We aimed to evaluate the health benefits, cost-effectiveness and return on investment (ROI) of HCV elimination. Methods: Using an HCV transmission compartmental model, we evaluated the benefits and costs of different strategies combining screening and treatment for Chinese populations. We identified strategies to achieve HCV elimination and calculated the incremental cost-effectiveness ratios (ICERs) per disability-adjusted life year (DALY) averted for 2022–2030 to identify the optimal elimination strategy. Furthermore, we estimated the ROI by 2050 by comparing the required investment with the economic productivity gains from reduced HCV incidence and deaths. Results: The strategy that results in the most significant health benefits involves conducting annual primary screening at a rate of 14%, re-screening people who inject drugs annually and the general population every five years, and treating 95% of those diagnosed (P14-R4-T95), preventing approximately 5.75 and 0.44 million HCV infections and deaths, respectively, during 2022–2030. At a willingness-to-pay threshold of $12,615, the P14-R4-T95 strategy is the most cost-effective, with an ICER of $5,449/DALY. By 2050, this strategy would have a net benefit of $120,997 million (ROI=0.868). Conclusions Achieving HCV elimination in China by 2030 will require significant investment in large-scale universal screening and treatment, but it will yield substantial health and economic benefits and is cost-effective.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Background/Aims: The World Health Organization set the goal of eliminating hepatitis C virus (HCV) by 2030, with 80% and 65% reductions in HCV incidence and mortality rates, respectively. We aimed to evaluate the health benefits, cost-effectiveness and return on investment (ROI) of HCV elimination. Methods: Using an HCV transmission compartmental model, we evaluated the benefits and costs of different strategies combining screening and treatment for Chinese populations. We identified strategies to achieve HCV elimination and calculated the incremental cost-effectiveness ratios (ICERs) per disability-adjusted life year (DALY) averted for 2022–2030 to identify the optimal elimination strategy. Furthermore, we estimated the ROI by 2050 by comparing the required investment with the economic productivity gains from reduced HCV incidence and deaths. Results: The strategy that results in the most significant health benefits involves conducting annual primary screening at a rate of 14%, re-screening people who inject drugs annually and the general population every five years, and treating 95% of those diagnosed (P14-R4-T95), preventing approximately 5.75 and 0.44 million HCV infections and deaths, respectively, during 2022–2030. At a willingness-to-pay threshold of $12,615, the P14-R4-T95 strategy is the most cost-effective, with an ICER of $5,449/DALY. By 2050, this strategy would have a net benefit of $120,997 million (ROI=0.868). Conclusions Achieving HCV elimination in China by 2030 will require significant investment in large-scale universal screening and treatment, but it will yield substantial health and economic benefits and is cost-effective.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Background/Aims: The World Health Organization set the goal of eliminating hepatitis C virus (HCV) by 2030, with 80% and 65% reductions in HCV incidence and mortality rates, respectively. We aimed to evaluate the health benefits, cost-effectiveness and return on investment (ROI) of HCV elimination. Methods: Using an HCV transmission compartmental model, we evaluated the benefits and costs of different strategies combining screening and treatment for Chinese populations. We identified strategies to achieve HCV elimination and calculated the incremental cost-effectiveness ratios (ICERs) per disability-adjusted life year (DALY) averted for 2022–2030 to identify the optimal elimination strategy. Furthermore, we estimated the ROI by 2050 by comparing the required investment with the economic productivity gains from reduced HCV incidence and deaths. Results: The strategy that results in the most significant health benefits involves conducting annual primary screening at a rate of 14%, re-screening people who inject drugs annually and the general population every five years, and treating 95% of those diagnosed (P14-R4-T95), preventing approximately 5.75 and 0.44 million HCV infections and deaths, respectively, during 2022–2030. At a willingness-to-pay threshold of $12,615, the P14-R4-T95 strategy is the most cost-effective, with an ICER of $5,449/DALY. By 2050, this strategy would have a net benefit of $120,997 million (ROI=0.868). Conclusions Achieving HCV elimination in China by 2030 will require significant investment in large-scale universal screening and treatment, but it will yield substantial health and economic benefits and is cost-effective.