Metal-organic frameworks(MOFs)are a class of organic-inorganic hybrid materials formed by the self-assembly of metal ions or metal clusters with organic ligands through coordination,and possess high specific surface area,tunable pore size and diverse structures.In recent years,MOFs and their composites have shown great application potential in the field of drug detection,especially in selective recognition,enhancing detection sensitivity and on-site rapid detection.This paper summarized the structural characteristics,synthesis methods and detection principles of MOFs and their composites,and reviewed the latest research progresses in detection of various drugs such as opioids,amphetamines,cannabinoids,cathinones,cocaine,ketamine,fentanyls and psychotropic drugs.The advantages and challenges of MOFs materials in the pretreatment of complex biological samples,sensor construction and on-site rapid detection were discussed,and the prospects for future development were analyzed,with the aim of providing theoretical support and technical references for promoting the applications of MOFs in anti-drug practice.

Objective To investigate the prevalence of Schistosoma japonicum infections in wild rodents in schistosomiasis-endemic areas of China, so as to provide insights into formulation of technical guidelines for monitoring of and the precise control strategy for S. japonicum infections in wild rodents during the elimination phase. Methods Two administrative villages where schistosomiasis was historically highly prevalent were selected each from Dongzhi County, Anhui Province, and Duchang County, Jiangxi Province as study villages. Wild rodents were captured from study villages with baited traps or cages at night in June and September, 2021. The number of rodents captured was recorded, and the rodent species was characterized based on morphologi-cal characteristics. Liver tissues were sampled from captured rodents for macroscopical observation of the presence of egg granu- lomas, and S. japonicum infection was detected simultaneously using liver tissue homogenate microscopy, examinations of mesenteric tissues for parasites, and modified Kato-Katz thick smear technique (Kato-Katz technique). A positive S. japonicum infection was defined as detection of S. japonicum eggs or adult worms by any of these methods. The rate of wild rodent capture and prevalence of S. japonicum infections in wild rodents were compared in different study villages and at different time periods, and the detection of S. japonicum infections in wild rodents was compared by different assays. Results The overall rate of wild ro- dent capture was 8.28% (237/2 861) in Dongzhi County, and the wild rodent capture rates were 9.24% (133/1 439) and 7.31% (104/1 422) in two study villages (χ² = 3.503, P = 0.061), and were 8.59% (121/1 409) and 7.99% (116/1 452) in June and September, 2021, respectively (χ² = 0.337, P = 0.561). The overall rate of wild rodent capture was 3.72% (77/2 072) in Duchang County, and the wild rodent capture rates were 6.91% (67/970) and 0.91% (10/1 102) in two study villages (χ² = 51.901, P < 0.001), and were 4.13% (39/945) and 3.37% (38/1 127) in June and September, 2021, respectively (χ² = 0.815, P = 0.365). Rattus norvegicus was the predominant rodent species captured in both counties, accounting for 70.04% (166/237) of all captured wild rodents in Dongzhi County and 88.31% (68/77) in Duchang County. No S. japonicum infection was detected in wild rodents captured in Duchang County. Nevertheless, the overall prevalence of S. japonicum infections was 51.05% (121/237) in wild rodents captured in Dongzhi County, with prevalence rates of 50.38% (67/133) and 51.92% (54/104) in two study villages (χ² = 0.098, P = 0.755), and 54.31% (63/116) and 47.93% (58/121) in September and June, 2021, respectively (χ² = 0.964, P = 0.326). Of 237 wild rodents captured in Dongzhi County, there were 140 (59.07%) rodents with visible hepatic egg granulomas, 117 (49.47%) tested positive for S. japonicum eggs by liver tissue homogenate microscopy, 34 (14.35%) tested positive for S. japonicum eggs with Kato-Katz technique; however, no adult S. japonicum worms were detected in mesenteric tissues. In addition, hepatic egg granulomas were found in all wild rodents tested positive for S. japonicum eggs with liver tissue homogenate microscopy. Conclusions The rate of wild rodent capture and prevalence of S. japonicum infection in wild rodents vary greatly in schistosomiasis-endemic areas of China, and the prevalence of S. japonicum infection is slightly higher in wild rodents captured in autumn than in summer. Liver tissue is recommended as the preferred sample for surveillance of S. japonicum infection in wild rodents, and a combination of macroscopical observation of hepatic egg granulomas and liver tissue homogenate microscopy may be a standard method for surveillance of S. japonicum infection in wild rodents.

Aim To study the effect of p-benzoyl sali-droside(pOBz)on angiogenesis after ischemic stroke and to explore the underlying mechanism.Methods The MCAO model was prepared by suture method.Rats were divided into four groups:sham,MCAO,pOBz administration,and edaravone positive control,treated for seven days.The mNSS was used to assess the neurological impairment.Western blotting was em-ployed to detect CD31,NICD,and Hes-1 protein ex-pression,while immunofluorescence staining was ap-plies to quantify CD31-positive cells in ischemic brain tissue.In vitro an OGD/R model was established in HUVECs.Following treatment with varying pOBz con-centrations(0.01,0.1,1 μmol·L-1),the CCK-8 as-say was uses to measure cell viability,and in vitro tube formation assay was utilized to evaluate angiogenesis.Western blotting was employed again to assess CD31,NICD and Hes-1 protein levels.To further elucidate the mechanism,HUVEC were treated with the Notch inhibitor DAPT prior to grouping and pOBz administra-tion,and the same parameters were evaluated.Results pOBz significantly reduced the mNSS score of MCAO rats,increased CD31-positive cell counts,and upregu-lated CD31,NICD,and Hes-1 protein expression(P＜0.01).In vitro results further showed that pOBz could dose-dependently increase the survival rate and angio-genesis ability of HUVEC induced by OGD/R,and promote CD31,NICD and Hes-1 proteins(P＜0.01),and Notch inhibitor DAPT could reverse the above effects of pOBz.Conclusion pOBz promotes angio-genesis in HUVEC,and its mechanism involves activa-tion of the Notch signaling pathway.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Glycoengineering was carried out in the mammalian cell line CHO for the production of pro-tein-based drugs.Firstly,the genome sequence of the Rosa26 locus of CHO cells was determined,the gRNA sequences were designed,and the landing pad was integrated into the Rosa26 locus of CHO cells by CRISPR/Cas9 technology.Three targeting vectors co-expressed by glycosyltransferases,which are β-1,4 galactosyltransferase(B4GALT1),α-2,6-sialyltransferase 1(ST6GAL1)and N-acetaminoglycosyl-transferase Ⅲ(GnT Ⅲ),were constructed by overlapping PCR and seamless ligation technology,and the three glycosyltransferase genes were integrated into the CHO Rosa26 locus by Cre enzyme-mediated cassette exchange technology.PCR confirmed that three glycosyltransferases had been successfully site-directed integrated into the Rosa26 site.The mRNA expression levels of the three glycosyltransferases were more than 50 000-fold by qRT-PCR,and the protein expression levels of the three glycosyltrans-ferases were more than 4-fold via western blotting(P＜0.001).A CHO-engineered cell line with three glycosyltransferases integrated into Rosa26 site was successfully constructed.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To find and select stable and specific identification indexes in chest CT images,to establish mathematical models and provide a systematic and scientific identification method.Methods Medical imaging analysis and processing technology were applied to compare the image indexes such as lung apical shadow,double lung texture,trachea,sternum,thoracic morphology,liver,spleen,interlobular fissure morphology,first rib,aorta and thoracic vertebrae morphology of 600 serial chest CT scans of of the same adults at different periods and 600 scans of different adults.Consistency test(Kappa analysis)was applied to determine the consistency of different identification indexes,and to screen out the image identification indexes that were not easily affected by subjective factors and had high consistency;the cumulative exclusion probability method was applied to calculate the combined identification ability of the observation indexes,and select optimal indexes to establish the identification index system.Results Five indexes-left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side demonstrated high consistency across age groups and minimal subjective interference.A combination of any three indexes achieved＞99.99％discrimination probability for homologous versus non-homologous sources identification.Conclusion The independent or combined use of the indexes of left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side enables individual identification in adult chest CT under different imaging conditions.

Objective To explore the association between aspartate aminotransferase(AST)/alanine aminotransferase(ALT)ratio and metabolic syndrome(MS)in elderly hypertensive patients,and to provide reference for early detection and prevention of MS in elderly hypertensive patients.Methods A questionnaire survey and physical examination were conducted among 616 elderly hypertensive patients at community health service centers.Participants were divided into two groups based on MS status:MS group(n=334)and non-MS group(n=282).According to AST/ALT levels,participants were divided into four groups:q1 group(AST/ALT ≤0.88,n=156),q2 group(0.88＜AST/ALT ≤ 1.10,n=155),q3 group(1.10＜AST/ALT ≤ 1.37,n=154),and q4 group(AST/ALT＞1.37,n=151).Blood biochemical parameters including triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),AST,ALT,and blood glucose were measured.The impact of AST/ALT levels on MS was analyzed using a Logistic regression model,while the risk prediction for MS occurrence was evaluated through receiver operating characteristic(ROC)curves.Results MS group showed higher body mass index(BMI),TG,ALT levels,abnormal glucose levels,female proportion,and abdominal obesity rate compared to non-MS group.HDL-C and AST/ALT values of MS group were lower than those in non-MS patients(P＜0.05).Logistic regression analysis revealed that after adjusting for BMI,smoking,alcohol consumption,physical activity,education level,marital status,TG,HDL-C,and glucose levels,both q3 and q4 groups demonstrated reduced MS risk compared to group q1 group(P＜0.05).ROC curve analysis indicated that the area under the curve for AST/ALT in MS was 0.638(P＜0.05).Conclusion The level of AST/ALT was negatively correlated with MS in elderly hypertensive patients,and AST/ALT has certain predictive value for the risk of MS in elderly hypertensive patients.

Objective To find and select stable and specific identification indexes in chest CT images,to establish mathematical models and provide a systematic and scientific identification method.Methods Medical imaging analysis and processing technology were applied to compare the image indexes such as lung apical shadow,double lung texture,trachea,sternum,thoracic morphology,liver,spleen,interlobular fissure morphology,first rib,aorta and thoracic vertebrae morphology of 600 serial chest CT scans of of the same adults at different periods and 600 scans of different adults.Consistency test(Kappa analysis)was applied to determine the consistency of different identification indexes,and to screen out the image identification indexes that were not easily affected by subjective factors and had high consistency;the cumulative exclusion probability method was applied to calculate the combined identification ability of the observation indexes,and select optimal indexes to establish the identification index system.Results Five indexes-left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side demonstrated high consistency across age groups and minimal subjective interference.A combination of any three indexes achieved＞99.99％discrimination probability for homologous versus non-homologous sources identification.Conclusion The independent or combined use of the indexes of left lung texture,right lung texture,interlobular fissure of the liver,first rib on the left side,and first rib on the right side enables individual identification in adult chest CT under different imaging conditions.