Dental caries is the most common oral disease in children,not only impairing chewing,speech,and other functions while also impacting maxillofacial development and overall health.Recent researches have established the"ecological plaque theory",which posits that an imbalance in the oral plaque microecology leads to the demineralization of teeth hard tissues,as the widely ac-cepted etiology of dental caries.However,the significant variability in the composition and function of children's plaque microorgan-isms,influenced by primary tooth eruption and replacement,changes in diet,and increase in social interactions,makes traditional culture methods inadequate for studying this complex micro-ecosystem.Advances in multi-omics technologies have recently created new opportunities for studiing complex microecology.High-throughput sequencing technologies,such as 16S rRNA gene sequencing and metagenomics,allow for the exploration of microbial diversity and the analysis of genomic functions and their associations with dental caries.Mass spectrometry-based technologies,including metabolomics and proteomics,might elucidate the molecular mecha-nisms of dental caries by analyzing differential metabolites and pathways.This review focuses on the application of multi-omics tech-nologies to explore the relationships between the structure,function,and metabolic state of oral microbial communities and pediatric dental caries.It further discusses the future of oral microorganisms as diagnosis and therapeutic targets for caries,and is expected to provide novel strategies for the prevention and treatment of pediatric dental caries.

Coronary CT angiography(CCTA)plays an important role in study of coronary atherosclerotic plaques,which can be used to assess plaque composition and vulnerability,hence predicting major adverse cardiovascular events.Furthermore,CCTA combined with radiomics analysis is helpful for optimizing cardiovascular risk stratification.The research progresses in CCTA of coronary atherosclerotic plaques were reviewed in this article.

Objective To compare the safety of laparoscopic pancreatoduodenectomy(LPD)and open pancreatoduodenectomy(OPD)and analyze the learning curve and safety at different stages of LPD.Methods A retrospective analysis was conducted on the clinical data of 50 LPD patients and 54 OPD patients in the Department of Hepatopancreatobiliary Surgery of Suzhou Hospital Affiliated to Nanjing Medical University from January 2020 to June 2024,and intraoperative and postoperative conditions were compared.The Cumulative Sum(CUSUM)analysis method was used to analyze the technical nodes of the LPD learning curve.Results There were no significant differences in operation time and intraoperative blood loss between the LPD group and the OPD group(P＞0.05).There was also no significant difference in the incidence rates of pancreatic fistula(grade B and C),delayed gastric emptying,postoperative bleeding,biliary fistula and intra-abdominal infection between the LPD group and the OPD group(P＞0.05).A time series plot of operation time was drawn based on the patient's operation time and surgical sequence,yielding a fitted curve.Curve analysis showed initial stage and stable stage were finished at the 17th and 24th cases.The LPD learning curve could be divided into three stages:stage Ⅰ characterized as the initial stage(cases 1 to 17),stage Ⅱ characterized as the stable stage(cases 18 to 24),and stage Ⅲ characterized as the proficient stage(cases 25 to 50).The operation time in stages Ⅱ and Ⅲ was significantly shorter than that in stage Ⅰ,and the intraoperative blood loss in stage Ⅰ was significantly higher than that in stage Ⅲ(P＜0.05).There was no significant difference in the incidence of complications among the three stages(P＞0.05).Conclusion LPD and OPD show no significant differences in indications and safety.The LPD learning curve can be divided into three stages.As the number of surgeries completed increa-ses,the operation time of physicians gradually shortens,and the incidence of complications of patients gradually decreases.

Objective Based on the assumption of spatial heterogeneity,the distribution pattern and risk characteristics of health poverty in middle-aged and elderly people with chronic diseases are described from the perspective of spatial differentiation.In order to providing a theoretical basis for the optimization of subsequent poverty reduction policies and a model policy for other countries.Methods It used factor detector and interaction detector to capture the role of single-factor and multi-factor interactions on the spatial differentiation of health poverty,and risk detectors were utilized to explore the high-risk factors in risky areas Results The single factor explanation of medical assistance and health education activities is prominent,and the factors such as PM2.5,old-age dependency ratio and urban unemployment rate have strong interaction.Furthermore,it identified high-risk factor characteristics in areas at high risk of health poverty.Conclusion The spatial differentiation pattern of health poverty among the middle-aged and elderly chronic disease population in China is the result of the synergistic driving effect of multidimensional factors,and there is variability in the risk characteristics among regions.The government should establish a contextual optimization strategy and pay attention to the joint effect of multiple factors to establish a synergistic management system.

Globally, over 300 million surgeries are performed each year, and more than 50% of surgeries involve patients aged 65 and older. Aging poses significant challenges to perioperative brain health, as the deterioration of brain structure and function increases susceptibility to postoperative neurological complications. Protecting perioperative brain health remains a worldwide clinical challenge. With senescence, the brain undergoes a progressive decline in homeostasis across various molecular, cellular, and regional functions. Anesthetics and surgical stimuli may accelerate the disruption of brain homeostasis and exacerbate age-related neurodegeneration. This review provides a framework for understanding how anesthesia and surgery can affect brain health in the aging population and contribute to postoperative neurological complications, with a particular focus on perioperative neurocognitive disorder.

Dental caries is the most common oral disease in children,not only impairing chewing,speech,and other functions while also impacting maxillofacial development and overall health.Recent researches have established the"ecological plaque theory",which posits that an imbalance in the oral plaque microecology leads to the demineralization of teeth hard tissues,as the widely ac-cepted etiology of dental caries.However,the significant variability in the composition and function of children's plaque microorgan-isms,influenced by primary tooth eruption and replacement,changes in diet,and increase in social interactions,makes traditional culture methods inadequate for studying this complex micro-ecosystem.Advances in multi-omics technologies have recently created new opportunities for studiing complex microecology.High-throughput sequencing technologies,such as 16S rRNA gene sequencing and metagenomics,allow for the exploration of microbial diversity and the analysis of genomic functions and their associations with dental caries.Mass spectrometry-based technologies,including metabolomics and proteomics,might elucidate the molecular mecha-nisms of dental caries by analyzing differential metabolites and pathways.This review focuses on the application of multi-omics tech-nologies to explore the relationships between the structure,function,and metabolic state of oral microbial communities and pediatric dental caries.It further discusses the future of oral microorganisms as diagnosis and therapeutic targets for caries,and is expected to provide novel strategies for the prevention and treatment of pediatric dental caries.

Coronary CT angiography(CCTA)plays an important role in study of coronary atherosclerotic plaques,which can be used to assess plaque composition and vulnerability,hence predicting major adverse cardiovascular events.Furthermore,CCTA combined with radiomics analysis is helpful for optimizing cardiovascular risk stratification.The research progresses in CCTA of coronary atherosclerotic plaques were reviewed in this article.

Objective Based on the assumption of spatial heterogeneity,the distribution pattern and risk characteristics of health poverty in middle-aged and elderly people with chronic diseases are described from the perspective of spatial differentiation.In order to providing a theoretical basis for the optimization of subsequent poverty reduction policies and a model policy for other countries.Methods It used factor detector and interaction detector to capture the role of single-factor and multi-factor interactions on the spatial differentiation of health poverty,and risk detectors were utilized to explore the high-risk factors in risky areas Results The single factor explanation of medical assistance and health education activities is prominent,and the factors such as PM2.5,old-age dependency ratio and urban unemployment rate have strong interaction.Furthermore,it identified high-risk factor characteristics in areas at high risk of health poverty.Conclusion The spatial differentiation pattern of health poverty among the middle-aged and elderly chronic disease population in China is the result of the synergistic driving effect of multidimensional factors,and there is variability in the risk characteristics among regions.The government should establish a contextual optimization strategy and pay attention to the joint effect of multiple factors to establish a synergistic management system.

Objective:To investigate the potential factors influencing the recovery of consciousness levels during the rehabil-itation process of patients with prolonged disorders of consciousness (DOC) following brain injury,and to as-sess the impact of different treatment strategies on consciousness level recovery.Method:A retrospective analysis was conducted on clinical data,consciousness level scores,clinical medica-tion usage,and rehabilitation treatment plans of 72 patients with DOC who were admitted to our rehabilitation medicine department from 2017 to 2022.Result:Factors such as difficulty in tracheostomy tube removal,hydrocephalus,elevated muscular tension ab-normalities,poor infection control,and inadequate control of non-infectious complications significantly affected the improvement of consciousness levels. Regarding medications,the injection of botulinum toxin for muscular tension control and the use of amantadine had a significant impact on improving consciousness levels. The use of selective serotonin reuptake inhibitors (SSRIs) showed a trend towards improving consciousness levels,but the differences were not statistically significant.Conclusion:During the rehabilitation process of patients with DOC following brain injury,addressing factorsthat influence consciousness levels is crucial. These factors include effective infection control,management of complications,early removal of tracheostomy tubes when feasible,active management of hydrocephalus,local injection of botulinum toxin to control elevated muscular tension,and the use of medications that may im-prove consciousness levels,such as amantadine and SSRIs.

Objective: To understand the relationship between residential neighborhood green space and mental health of middle school students, so as to provide a theoretical basis for mental health promotion among of middle school students at the level of residential environment. Methods: From October to December 2023, 1 258 students from three junior high schools and two general high schools in Panlong, Wuhua, Chenggong, and Guandu districts of Kunming City were selected by stratified cluster random sampling method. Conducting onsite questionnaire survey using the Mental Health Inventroy of Middle School students, residential neighborhood green space were evaluated using normalized difference vegetation index (NDVI). Analysis of variance, Pearson correlation analysis and linear regression analysis were used to analyze the relationship between as green space in residential neighborhoods and the mental health of middle school students. Results: The average mental health score of middle school students in Kunming was (2.02± 0.69 ), of which 447 (37.92%) had mild mental health problems, 107 (8.51%) had moderate mental health problems, and 12 ( 0.95% ) had more severe mental health problems. Mental health scores of middle school students varied significantly by gender, grade, and family income ( t/F =6.99, 7.15, 3.70, P <0.05). Correlation analysis showed that NDVI_250 m, NDVI_500 m, and NDVI_1 000 m were all negatively correlated with the total mental health scores of middle school students ( r =-0.07,-0.09, -0.10 , P <0.05). Multiple linear regression analysis showed that gender, grade, NDVI_250 m, NDVI_500 m, and NDVI_1 000 m were infuencing factors on the mental health of middle school students( B =0.25，0.05，-0.47，-0.67，-0.78, P <0.05). Conclusions Mental health of middle school students in Kunming is related to green space in different buffer zones around residences. The mental health education of middle school students should be strengthened, especially for girls and senior students, optimizing resources to reduce pressure, and improving the quality of green space in residential communities to improve the mental health of adolescents.