ObjectiveTo prepare a recombinant PETase with a dual-catalytic-triad and to evaluate its efficiency in the biodegradation of polyethylene terephthalate （PET）. MethodsBased on the crystal structure of wild-type PETase， point mutations （T88H/L117D） were introduced via site-directed mutagenesis. The recombinant protein was prepared using prokaryotic expression and chromatography purification techniques. The enzymatic hydrolysis of the mutant PETase was assessed by relatively quantifying the products mono （2-hydroxyethyl） terephthalate （MHET） and terephthalic acid （TPA）. ResultsBoth wild-type and mutant PETases accumulated as inclusion bodies， accounting for approximately 20% of the total bacterial protein. After solubilization in urea， the proteins were eluted at 300 mmol/L imidazole during affinity chromatography purification， with concentrations of 1.824 and 1.833 mg/mL and purities of 83.11% and 84.32%， respectively. Subsequent anion-exchange chromatography yielded highly pure enzymes in the 200 mmol/L NaCl fraction： 2.776 mg/mL （96.86% purity） for the wild type and 1.967 mg/mL （95.13% purity） for the mutant. Following refolding， the final concentrations were 0.484 mg/mL for the wild type and 0.991 mg/mL for the mutant. Hydrolysis assays revealed that the mutant released MHET and TPA at （237.67±17.00）% and （197.33±12.01）% of the wild-type levels， respectively. ConclusionThe T88H/L117D dual-catalytic-triad PETase is successfully prepared and it significantly enhanced PET-degrading activity， thus， it′s a promising biocatalyst for PET bioremediation.

As one of the common chronic bacterial infections, Helicobacter pylori (Hp) infection is a key pathogenic factor of chronic gastritis, peptic ulcer and gastric cancer. In the formation of gastric ulcer, Hp virulence factors directly damage the gastric mucosal barrier, induce the local inflammation and immune response, interfere with the regulation of gastric acid secretion, and ultimately destroy the mucosal stability. In the occurrence of gastric cancer, Hp-driven chronic inflammation is the basis of inflammation-cancer transformation, and it induces the genomic instability and epigenetic changes by interfering with key signaling pathways in host cells, thereby promoting malignant transformation. This paper systematically reviews the related mechanisms of Hp-induced gastric ulcer and gastric cancer in recent years, holding great significance for the development of new intervention strategies and the precise prevention and treatment of gastric cancer.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective:To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins.Methods:The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption. Intra-pair analysis was performed to calculate the concordance rate and heritability of their alcohol consumption.Results:The age of all subjects was (36.6±12.0) years, and current drinkers accounted for 16.6% (9 461/56 966) of all subjects. In men, those aged 50-59 years, those in northern China, those living in rural area, those with low education level and those with high BMI, the proportions of current drinkers were higher. After excluding 468 pairs of twins who had stopped alcohol use and 21 764 pairs of twins who had no drink or had small amount drink, an intra-pair analysis was conducted in 4 929 pairs of same-sex twins, and found that the concordance rate of alcohol consumption was 64.0% (2 059/3 215) in monozygotic twins, and 52.6% (902/1 714) in dizygotic twins, the difference was significant ( P<0.001), and the heritability of alcohol consumption was 24.1% (95% CI: 18.9%- 29.3%). The further stratified analysis found that in southern men, the heritability was highest in those aged 40-49 years (36.1%, 95% CI: 21.6%-50.7%), while in northern men, the heritability was highest in those aged 50-59 years (34.2%, 95% CI: 18.1%-50.3%). Conclusions:In adult twins in China, there were population and regional differences in the distribution of alcohol consumption behavior, and alcohol consumption was influenced by genetic factors, and gender, age and region had potential modifying effects.

Objective To observe the value of pituitary radiomics and MRI features combined model for predicting growth hormone(GH)status in pediatric short stature.Methods Totally 300 children with short stature were enrolled as training set,while other 73 cases were taken as external validation set.Based on growth hormone stimulation test,the children were divided into GH deficiency(GHD)group(n=228)and non-GHD group(n=145).The training set included 196 cases in GHD subgroup and 104 cases in non-GHD subgroup,while the validation set included 32 cases in GHD subgroup and 41 cases in non-GHD subgroup.Radiomics features of pituitary were extracted from T1WI.The key features were selected using least absolute shrinkage and selection operator(LASSO)regression,and machine learning models were subsequently constructed using support vector machine(SVM),logistic regression(LR),naive Bayes(NB)and K-nearest neighbor(KNN),respectively.Then combined models were constructed combining with MRI features,and the efficacy of each model was evaluated.Results The area under the curve(AUC)of SVM,LR,NB,and KNN radiomics model for predicting GH status in pediatric short stature was 0.860,0.831,0.838 and 0.901 in training set,0.788,0.829,0.823 and 0.770 in validation set,while of the relative combined SVM,LR,NB and KNN model was 0.924,0.903,0.859 and 0.920 in training set,and 0.827,0.881,0.836 and 0.718 in validation set.LRcombined model had the best overall performance,with sensitivity of 84.94％,specificity of 80.56％and accuracy of 83.61％in training set,and 80.95％,72.22％and 80.00％in validation set,respectively.Conclusion Pituitary radiomics and MRI features combined model could effectively predict GH status in pediatric short stature.

Objective:To investigate the epidemic characteristics of imported malaria in Dezhou City, Shandong Province.Methods:The epidemic data of imported malaria in Dezhou City from January 2014 to December 2024 reported by the China Disease Prevention and Control Information System and the Parasitic Disease Prevention and Control Information Management System were collected, and the sources of infection and epidemiological characteristics of the cases were analyzed. Meanwhile, the surveillance data of malaria vector populations in Dezhou City reported by the China Disease Control and Prevention Information System during the same period were collected, and the types of mosquito populations were analyzed.Results:From 2014 to 2024, a total of 100 cases of imported malaria were reported in Dezhou City, all of which were laboratory-confirmed cases, mainly falciparum malaria, accounting for 61.0% (61/100). The cases came from 21 countries, mainly imported from Africa, accounting for 99.0% (99/100). The cases were mainly male, accounting for 99.0% (99/100). The age range was mainly between 21 and 50 years old, accounting for 88.0% (88/100). The occupations were mainly construction industry workers and catering industry personnel, accounting for 41.0% (41/100) and 27.0% (27/100), respectively. The median time interval between the entry of the case and the onset of the disease was 8 days, and the median time interval between the onset of the disease and diagnosis was 6 days. From 2014 to 2024, a total of 16 803 mosquitoes were captured in Dezhou City, with the dominant mosquito species being Culex pipiens pallens, accounting for 89.1% (14 979/16 803). Conclusion:The imported malaria in Dezhou City is mainly falciparum malaria imported from Africa, and the cases are mainly male, young and middle-aged people and construction industry workers.

The Department of Plastic and Reconstructive Surgery of the Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medical, has witnessed and propelled the remarkable evolution of China’s plastic and reconstructive surgery over the past sixty years. Established in 1961 under the leadership of its founding father, Professor Ti-sheng Chang, the department was built on the mission of "Preventing the injured from disabled, the disabled from incapable". It pioneered groundbreaking advancements in flap microsurgery, craniofacial surgery, and lymphatic medicine. Entering the 21st century, guided by its motto of "Openness, Innovation, Excellence, and Dedication", the department has developed a comprehensive, full-cycle diagnostic and treatment system covering all disease spectrums. With seven major specialties and 24 subspecialty divisions, it has achieved continuous breakthroughs in surface organ reconstruction, hemangioma and neurofibroma treatment, fat transplantation, and craniomaxillofacial surgery. These innovations have yielded landmark achievements, with multiple technologies receiving National Science and Technology Progress Awards, significantly advancing the field of reconstructive surgery in China. Committed to talent development, the department, as one of China’s first doctoral training centers and a national standardized training base for resident and specialist physicians, has trained over 750 postgraduate students, more than 240 resident and specialist trainees, and over 2 000 clinic fellow. It has also led the compilation of multiple national standardized textbooks in plastic surgery, making substantial contributions to professional education and training standardization. Through administration innovation, the department has established a "bed-bench-bed" closed-loop model, driving technological advancements and facilitating major translational achievements, including Class 1.1 new drugs and stem cell therapies. It pioneered a structured multi-site practice platform for surgeons, optimizing the allocation of medical resources. Now, the department is focusing on high-quality patient cohort and biobank development while exploring cutting-edge fields such as AI-assisted diagnostics, gene therapy, and brain-computer interfaces, striving to build a world-class discipline at the forefront of global reconstructive surgery.

The Department of Plastic and Reconstructive Surgery of the Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medical, has witnessed and propelled the remarkable evolution of China’s plastic and reconstructive surgery over the past sixty years. Established in 1961 under the leadership of its founding father, Professor Ti-sheng Chang, the department was built on the mission of "Preventing the injured from disabled, the disabled from incapable". It pioneered groundbreaking advancements in flap microsurgery, craniofacial surgery, and lymphatic medicine. Entering the 21st century, guided by its motto of "Openness, Innovation, Excellence, and Dedication", the department has developed a comprehensive, full-cycle diagnostic and treatment system covering all disease spectrums. With seven major specialties and 24 subspecialty divisions, it has achieved continuous breakthroughs in surface organ reconstruction, hemangioma and neurofibroma treatment, fat transplantation, and craniomaxillofacial surgery. These innovations have yielded landmark achievements, with multiple technologies receiving National Science and Technology Progress Awards, significantly advancing the field of reconstructive surgery in China. Committed to talent development, the department, as one of China’s first doctoral training centers and a national standardized training base for resident and specialist physicians, has trained over 750 postgraduate students, more than 240 resident and specialist trainees, and over 2 000 clinic fellow. It has also led the compilation of multiple national standardized textbooks in plastic surgery, making substantial contributions to professional education and training standardization. Through administration innovation, the department has established a "bed-bench-bed" closed-loop model, driving technological advancements and facilitating major translational achievements, including Class 1.1 new drugs and stem cell therapies. It pioneered a structured multi-site practice platform for surgeons, optimizing the allocation of medical resources. Now, the department is focusing on high-quality patient cohort and biobank development while exploring cutting-edge fields such as AI-assisted diagnostics, gene therapy, and brain-computer interfaces, striving to build a world-class discipline at the forefront of global reconstructive surgery.

Objective To observe the value of pituitary radiomics and MRI features combined model for predicting growth hormone(GH)status in pediatric short stature.Methods Totally 300 children with short stature were enrolled as training set,while other 73 cases were taken as external validation set.Based on growth hormone stimulation test,the children were divided into GH deficiency(GHD)group(n=228)and non-GHD group(n=145).The training set included 196 cases in GHD subgroup and 104 cases in non-GHD subgroup,while the validation set included 32 cases in GHD subgroup and 41 cases in non-GHD subgroup.Radiomics features of pituitary were extracted from T1WI.The key features were selected using least absolute shrinkage and selection operator(LASSO)regression,and machine learning models were subsequently constructed using support vector machine(SVM),logistic regression(LR),naive Bayes(NB)and K-nearest neighbor(KNN),respectively.Then combined models were constructed combining with MRI features,and the efficacy of each model was evaluated.Results The area under the curve(AUC)of SVM,LR,NB,and KNN radiomics model for predicting GH status in pediatric short stature was 0.860,0.831,0.838 and 0.901 in training set,0.788,0.829,0.823 and 0.770 in validation set,while of the relative combined SVM,LR,NB and KNN model was 0.924,0.903,0.859 and 0.920 in training set,and 0.827,0.881,0.836 and 0.718 in validation set.LRcombined model had the best overall performance,with sensitivity of 84.94％,specificity of 80.56％and accuracy of 83.61％in training set,and 80.95％,72.22％and 80.00％in validation set,respectively.Conclusion Pituitary radiomics and MRI features combined model could effectively predict GH status in pediatric short stature.