ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Objective To describe and analyze the epidemiological characteristics of scrub typhus in Huai'an, Jiangsu Province from 2006 to 2024 and explore the long-term incidence trend and distribution of high-risk areas, and to formulate targeted prevention and control strategies. Methods The scrub typhus case report data of Huai'an from 2006 to 2024 in the Chinese Disease Prevention and Control Information System were extracted for descriptive analysis. Results A total of 898 cases of scrub typhus were reported in Huai'an, with an average annual incidence rate of 0.96 per 100 000 from 2006 to 2024. There was a turning point in the incidence trend of scrub typhus in 2011. From 2006 to 2011, the annual percentage change (APC) was 47.09% (95% CI: 7.53 - 859.39), and the upward trend was statistically significant (P < 0.05). From 2012 to 2024, the APC was -2.12% (95% CI: -29.09 - 3.75), and the downward trend was not statistically significant. October and November were the high-incidence months, and the total concentration from 2006 to 2024 was 0.93, indicating that scrub typhus had strict seasonality. The circular distribution method estimated that the peak period of the epidemic was from October 11th to November 25th, and the peak day of incidence was November 3rd. Jinhu County was a high-incidence area. The ratio of male to female cases was 1.03. The age group with the highest reported incidence was 40 to < 80 years old. The occupation with the highest proportion was farmers, accounting for 78.03%. Conclusion From 2006 to 2024, scrub typhus in Huai'an shows a peak every 3 - 4 years. Middle-aged and elderly farmers are the key population at risk, and Jinhu County is a key area. In the future, targeted health education should be carried out to effectively control the prevalence of scrub typhus.

(+)-Borneol, the main component of "Natural Borneol" in the Chinese Pharmacopoeia, is a high-end spice and precious medicine. Plant extraction cannot meet the increasing demand for (+)-borneol, while microbial biosynthesis offers a sustainable supply route. However, its production was extremely low compared with other monoterpenes, even with extensively optimizing the mevalonate pathway. We found that the key challenge is the complex and unusual dephosphorylation reaction of bornyl diphosphate (BPP), which suffers the side-reaction and the competition from the cellular dephosphorylation process, especially lipid metabolism, thus limiting (+)-borneol synthesis. Here, we systematically optimized the dephosphorylation process by identifying, characterizing phosphatases, and balancing cellular dephosphorylation metabolism. For the first time, we identified two endogenous phosphatases and seven heterologous phosphatases, which significantly increased (+)-borneol production by up to 152%. By engineering BPP dephosphorylation and optimizing the MVA pathway, the production of (+)-borneol was increased by 33.8-fold, which enabled the production of 753 mg/L under fed-batch fermentation in shake flasks, so far the highest reported in the literature. This study showed that rewiring dephosphorylation metabolism was essential for high-level production of (+)-borneol in Saccharomyces cerevisiae, and balancing cellular dephosphorylation is also helpful for efficient biosynthesis of other terpenoids since all whose biosynthesis involves the dephosphorylation procedure.

Non-alcoholic fatty liver disease (NAFLD) is a metabolic disease characterized by abnormal deposition of lipid in hepatocytes. If not intervened in time, NAFLD may develop into liver fibrosis or liver cancer, and ultimately threatening life. NAFLD has complicated etiology and pathogenesis, and there are no effective therapeutic means and specific drugs. Currently, insulin sensitizers, lipid-lowering agents and hepatoprotective agents are often used for clinical intervention, but these drugs have obvious side effects, and their effectiveness and safety need to be further confirmed. Adenosine monophosphate (AMP)-activated protein kinase (AMPK) plays a central role in maintaining energy homeostasis. Activated AMPK can enhance lipid degradation, alleviate insulin resistance (IR), suppress oxidative stress and inflammatory response, and regulate autophagy, thereby alleviating NAFLD. Natural herbal medicines have received extensive attention recently because of their regulatory effects on AMPK and low side effects. In this article, we reviewed the biologically active natural herbal medicines (such as natural herbal medicine formulas, extracts, polysaccharides, and monomers) that reported in recent years to treat NAFLD via regulating AMPK, which can serve as a foundation for subsequent development of candidate drugs for NAFLD.

OBJECTIVE: To observe the clinical efficacy of Qihuang needle therapy for autism spectrum disorder (ASD) children with sleep disorder. METHODS: A total of 60 ASD children with sleep disorder were randomly divided into an observation group and a control group, 30 cases in each group. Both groups were treated with structured education intervention, 60 min each time, once a day, 6 times a week. Qihuang needle therapy was applied at Yintang (GV24⁺), Baihui (GV20) and bilateral Jueyinshu (BL14), Xinshu (BL15) in the observation group, multi-direction needling was delivered and without needle retaining. The treatment was given 2 times a week, each treatment was delivered at interval of 2 days at least. Behavioral intervention was adopted in the control group. Treatment for consecutive 12 weeks was required in both groups. Before and after treatment, the scores of children's sleep habits questionnaire (CSHQ), the autism behavior checklist (ABC), the childhood autism rating scale (CARS), and the childhood autism behavior scale (CABS) were observed in the two groups. RESULTS: After treatment, the scores of CSHQ, ABC, CARS and CABS were decreased compared with those before treatment (P<0.01), and the above scores in the observation group were lower than those in the control group (P<0.05). CONCLUSION Qihuang needle therapy can effectively treat ASD with sleep disorder, improve the core symptoms of ASD and the sleep quality.
Humans ; Autism Spectrum Disorder/physiopathology* ; Male ; Female ; Child ; Sleep Wake Disorders/physiopathology* ; Child, Preschool ; Acupuncture Therapy ; Acupuncture Points ; Treatment Outcome ; Sleep ; Needles

Objective To explore the expression differences of the docking protein 1(DOK1)gene in multiple tissues of mice during the development stage from prediabetes to type 2 diabetes mellitus(T2DM),as well as its correlation with blood lipid levels.Methods The mice were divided into the 0 d group(control),the 20 d group,the 40 d group,the 60 d group,the 80 d group and the T2DM group.The 0 d group was fed with normal diet,while the other four groups were fed with high-fat diet to establish the prediabetes model.On this basis,the T2DM group was given low-dose multiple intraperitoneal injections of streptozotocin(STZ)to establish the T2DM model.The fasting and intraperitoneal glucose tolerance test(IPGTT)and insulin tol-erance test(IPITT)blood glucose of mice in each group were detected,and the expression of the DOK1 gene in nine tissues(heart,liver,kidney,skeletal muscle,pancreas,adipose,spleen,lung and colon tissues)was de-tected by qPCR.The level of DOK1 in serum was determined by ELISA,and the lipid level in serum was measured by an automatic biochemical analyzer.The correlations between serum DOK1 and TG,TC,HDL-C,LDL-C,lipoprotein A[LP(a)],and free fatty acids(FFA)were analyzed by Spearman correlation analysis.Re-sults The prediabetic and T2DM model mice were successfully established.Compared with the 0 d group,the blood glucose and lipid levels in the 80 d group and the T2DM group were significantly increased(P<0.001).Compared with the 0 d group,the expression level of DOK1 mRNA in the T2DM group was significantly de-creased in heart,liver,kidney,skeletal muscle,pancreas and adipose tissue(P<0.05).Compared with the 0 d group,the expression level of DOK1 mRNA in the 80 d group was significantly decreased in heart,liver,kid-ney and skeletal muscle tissue(P<0.05).Compared with the 0 d group,the expression levels of DOK1 mR-NA in the 40 d group and the 60 d group was significantly decreased in the liver tissues(P<0.05).Compared with group 0 d,there was no statistically significant difference in the expression level of DOK1 mRNA in the spleen,lung and colon tissues among each group(P>0.05).DOK1 in the 80 d group and the T2DM group was negatively correlated with TG,TC,LDL-C,LP(a),and FFA(r=-0.787 8,-0.727 2,-0.763 7,-0.764 2,-0.892 5,P<0.001),while positively correlated with HDL-C(r=0.961 3,P<0.001).Conclu-sion The reduction of DOK is related to the mechanism of insulin resistance and may play a key role in lipid metabolism disorders associated with diabetes.

AIM: To investigate and analyze the current situation and needs of clinical research nurses in China, in order to provide scientific basis for constructing a training system for research nurses, promoting standardized training, and achieving standardized management for them. METHODS:A self-made questionnaire was used to investigate 102 research nurses from nearly 70 well-known clinical trial institutions in China. The contents of the questionnaire mainly included the general information, professional experience and work content of the research nurses, the sense of accomplishment and training needs of clinical trial work. RESULTS: Among the 102 research nurses surveyed, 92.15% have a bachelor's degree or above; 53.92% of those have intermediate or higher professional titles; 74.51% of them are part-time research nurse. Among professional experiences, 19.61% have more than 10 years of clinical trial experience; 47.06%, 40.20%, and 21.17% of surveyed research nurses were authorized to participate in clinical trial drug management, sample management, and quality control; 70.59% of research nurses have a high sense of achievement in their daily work. In terms of education and training needs, clinical trial related laws and regulations, standardized training for clinical trial protocol implementation, and good clinical practice (GCP) are the three most important aspects. CONCLUSION: Clinical research nurses in China have a relatively high level of education and nursing experience, but there is still a large gap in the amount of professional full-time clinical research nurses in China. Due to the rapid development of innovative drugs and devices, as well as the urgent need to improve the clinical research system, it is necessary to establish a training, assessment, and evaluation system for research nurses that is in line with China's national conditions in order to improve the professional level of research nurses, and improve the quantity and quality of clinical trial research on innovative drugs and devices in China.

Objective:This paper provides a brief overview of the epidemiology of colorectal cancer in China and around the world, and discusses how to prevent colorectal cancer to reduce its disease burden.Method:Using the official database of GLOBOCAN 2020, the China Cancer Registry Annual Report compiled by the National Cancer Center, and data from CONCORD-3.Data management was performed by Microsoft Excel 2016 and R 4.2.1 Relevant graphs were generated using the ggplot2 package for result visualization.Result:An estimated 1 931 590 people were diagnosed with colorectal cancer worldwide in 2020 with an age-standardized incidence rate of 19.5 per 100 000. There were about 935 173 deaths caused by colorectal cancer internationally, with an age-standardized mortality rate of 9.0 per 100 000. Overall, colorectal cancer was the fourth most commonly diagnosed cancer and the third leading cause of cancer-related death worldwide in 2020. In China, the age-standardized incidence rate and mortality rate of colorectal cancer was 17.3 per 100 000 and 7.8 per 100 000, respectively. Gender differences in trends were observed, with a decreasing trend in incidence and mortality among females and an increasing trend in incidence and mortality among males. The primary risk factors for colorectal cancer include age, genetic factors, gastrointestinal disorders, dietary habits, and lifestyle et al.Conclusions:Colorectal cancer poses a significant burden globally and in China. The occurrence of colorectal cancer is closely related to physiology, genetics, behavioral habits, lifestyle, and disease factors. To better control the colorectal cancer burden with the lowest cost, specific measures should be taken to reduce exposure to established risk factors. By combining the disease prevention and control strategies of tertiary prevention in China with the characteristic factors of colorectal cancer, the incidence and mortality of colorectal cancer may be effectively controlled.