Objective To quantitatively assess the correlation between the skeletal muscle index(SMI)of patients and the occur-rence of anastomotic leakage(AL)in rectal cancer patients after surgery,and to analyze the risk factors for AL in rectal cancer patients and the influencing factors of sarcopenia.Methods The clinical,pathological,and related imaging data of 362 patients who under-went radical surgery for rectal cancer were retrospectively analyzed.All patients underwent pelvic MRI and abdominal CT scans(plain/enhanced)within one month before surgery,and the third lumbar vertebra skeletal muscle area(L3-SMA)was measured from the images.All patients were divided into AL group(56 cases)and control group(306 cases)based on the presence or absence of postoperative complications.The differences in clinical characteristics and imaging parameters between the two groups were analyzed.A logistic risk prediction model was established.Results Significant differences were observed between the two groups in sarcopenia,type of surgery,surgical approach,serum albumin level,operation duration,stoma type,and extramural vascular invasion(EMVI)(P＜0.05).These factors were incorporated in a multivariate logistic regression analysis model,the area under the curve(AUC)of receiver operating characteristic(ROC)curve of the model was 0.810[95％confidence interval(CI)0.743-0.876,P＜0.001],with a sensitivity of 0.865 and specificity of 0.669.Conclusion Sar-copenia is a significant risk factor for AL after rectal cancer surgery.It enhances the predictive efficacy for postoperative AL and serves as a basis for identifying high-risk populations for AL in clinical practice.

BACKGROUND:The clearance pathway of metabolic waste in the brain is crucial for maintaining neural homeostasis.The accumulation of metabolic waste disrupts this equilibrium,representing a common pathological feature of many central nervous system diseases.In recent years,research focusing on the glymphatic system has emerged as a hotspot in the nervous system field.OBJECTIVE:To construct a knowledge map of glymphatic system research,visually analyze the current state of research,main hotspots,and future development trends within this area.METHODS:Utilizing CiteSpace,VOSviewer,and the Bibliometrix package in the R language environment,this study conducted an in-depth visual analysis of glymphatic system-related literature from the Web of Science Core Collection database,spanning from January 2012 to March 2024.This analysis included authors,institutions,countries,journals,keywords,and co-citation frequencies.RESULTS AND CONCLUSION:A total of 687 related articles were included in this study.The number of publications in this field increased year by year,showing an explosive growth trend in the past three years.The countries,institutions,and authors with the largest number of publications in this research field were the United States,University of Rochester,and Professor Maiken Nedergaard.The journal with the highest number of publications was JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM.The high-frequent and high-central keywords mainly focused on the mechanism such as cerebrospinal fluid hydrodynamics,neurological diseases such as Alzheimer's disease,and imaging techniques such as diffusion tensor imaging.The literature with the highest co-citation frequency was a classic review of the glymphatic system.The above results show that the research of glymphatic system is an emerging and active field,which has attracted wide attention at home and abroad and gradually expand from theoretical research to clinical practice.

BACKGROUND:The clearance pathway of metabolic waste in the brain is crucial for maintaining neural homeostasis.The accumulation of metabolic waste disrupts this equilibrium,representing a common pathological feature of many central nervous system diseases.In recent years,research focusing on the glymphatic system has emerged as a hotspot in the nervous system field.OBJECTIVE:To construct a knowledge map of glymphatic system research,visually analyze the current state of research,main hotspots,and future development trends within this area.METHODS:Utilizing CiteSpace,VOSviewer,and the Bibliometrix package in the R language environment,this study conducted an in-depth visual analysis of glymphatic system-related literature from the Web of Science Core Collection database,spanning from January 2012 to March 2024.This analysis included authors,institutions,countries,journals,keywords,and co-citation frequencies.RESULTS AND CONCLUSION:A total of 687 related articles were included in this study.The number of publications in this field increased year by year,showing an explosive growth trend in the past three years.The countries,institutions,and authors with the largest number of publications in this research field were the United States,University of Rochester,and Professor Maiken Nedergaard.The journal with the highest number of publications was JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM.The high-frequent and high-central keywords mainly focused on the mechanism such as cerebrospinal fluid hydrodynamics,neurological diseases such as Alzheimer's disease,and imaging techniques such as diffusion tensor imaging.The literature with the highest co-citation frequency was a classic review of the glymphatic system.The above results show that the research of glymphatic system is an emerging and active field,which has attracted wide attention at home and abroad and gradually expand from theoretical research to clinical practice.

Objective To quantitatively assess the correlation between the skeletal muscle index(SMI)of patients and the occur-rence of anastomotic leakage(AL)in rectal cancer patients after surgery,and to analyze the risk factors for AL in rectal cancer patients and the influencing factors of sarcopenia.Methods The clinical,pathological,and related imaging data of 362 patients who under-went radical surgery for rectal cancer were retrospectively analyzed.All patients underwent pelvic MRI and abdominal CT scans(plain/enhanced)within one month before surgery,and the third lumbar vertebra skeletal muscle area(L3-SMA)was measured from the images.All patients were divided into AL group(56 cases)and control group(306 cases)based on the presence or absence of postoperative complications.The differences in clinical characteristics and imaging parameters between the two groups were analyzed.A logistic risk prediction model was established.Results Significant differences were observed between the two groups in sarcopenia,type of surgery,surgical approach,serum albumin level,operation duration,stoma type,and extramural vascular invasion(EMVI)(P＜0.05).These factors were incorporated in a multivariate logistic regression analysis model,the area under the curve(AUC)of receiver operating characteristic(ROC)curve of the model was 0.810[95％confidence interval(CI)0.743-0.876,P＜0.001],with a sensitivity of 0.865 and specificity of 0.669.Conclusion Sar-copenia is a significant risk factor for AL after rectal cancer surgery.It enhances the predictive efficacy for postoperative AL and serves as a basis for identifying high-risk populations for AL in clinical practice.

Objective:To investigate the effect of pre-pregnancy body mass index (BMI) on the cumulative live birth rate (CLBR) and perinatal outcomes in women with polycystic ovary syndrome (PCOS) undergoing first in vitro fertilization or intracytoplasmic sperm injection (IVF/ICSI).Methods:The clinical data of 1 013 patients with PCOS who received first IVF/ICSI treatment in Reproductive Medicine Center, Henan Provincial People′s Hospital from January 2017 to June 2020 were retrospectively analyzed. According to BMI China standard, they were divided into: normal weight group (18.5≤BMI<24.0 kg/m 2, 388 cases), overweight group (24.0≤BMI<28.0 kg/m 2, 367 cases), obese group (BMI≥28.0 kg/m 2, 258 cases). The effect of BMI on CLBR was analyzed by univariate analysis, multivariate logistic regression analysis and smooth curve fitting. The role of homeostasis model assessment of insulin resistance index (HOMA-IR) in the process of BMI on CLBR was analyzed by mediation analysis. Results:Among three groups, female age, basal level of follicle stimulating hormone, type of infertility and ovulation induction regimens were similar (all P>0.05). The infertility duration, basal testosterone level, HOMA-IR, the ovulation induction time and the total gonadotropin dosage increased with BMI (all P<0.01), anti-Müllerian hormone, basal luteinizing hormone level, the number of retrieved oocytes and available embryos decreased with BMI (all P<0.05). CLBR decreased with BMI increasing [84.08% (301/358) vs 74.26% (251/338) vs 71.88% (161/224); P<0.001]. The incidence of hypertensive disorder in pregnancy was highest in obese group, while premature rupture of membranes rate, premature delivery rate, low birth weight rate and macrosomia birth rate were the lowest in normal weight group. After adjusting for confounding factors, both smooth curve fitting and multiple logistic regression analysis revealed a significant trend: CLBR declined with increasing BMI ( OR=0.93, 95% CI: 0.89-0.97; P=0.002), with a reduction of 41% ( OR=0.59, 95% CI: 0.39-0.91; P=0.020) in overweight group, and a reduction of 48% ( OR=0.52, 95% CI: 0.32-0.83; P=0.010) in obese group. HOMA-IR mediated the effect of BMI on CLBR by 27.5% ( P<0.05). Conclusions:High BMI before IVF/ICSI in PCOS patients negatively impacts CLBR and raises maternal and infant risks during pregnancy and the perinatal period. 27.5% of the effect of BMI on CLBR is mediated by HOMA-IR. Thus, PCOS patients should manage their BMI and enhance insulin sensitivity prior to pregnancy.

Objective:To explore the categories and characteristics of health behaviors of community residents in Dongfang City, Hainan Province, and to analyze the influencing factors of different categories.Methods:From March to May 2023, 795 community residents of Dongfang City were selected for the study using a simple random sampling method. General Information Questionnaire, Chinese version Short of Health Promotion Lifestyle Profile-Ⅱ, Health Conception Scale, and Self-rated Abilities for Health Practice Scale were used to conduct the survey. Cluster analysis was used to explore the health behavior categories of community residents, and a decision tree model was applied to analyze the influencing factors of different categories.Results:A total of 830 questionnaires were distributed, and 795 valid questionnaires were recovered, with a valid recovery rate of 95.78%. The health behaviors of 795 community residents in Dongfang City were divided into four categories of comprehensive behavior group (26.04%, 207/795), healthy behavior group (37.23%, 296/795), risky behavior group (18.99%, 151/795), and poor health behavior group (17.74%, 141/795). The decision tree model showed that exercise efficacy, gender, ethnicity, and clinical health concepts were the factors influencing different health behavior categories of community residents in Dongfang City ( P<0.05), with exercise efficacy being the core factor. Conclusions:There is heterogeneity in the health behavior of community residents in Dongfang City. Community healthcare workers can implement targeted health promotion measures according to the behavioral characteristics of the population.

Objective:To explore the categories and characteristics of health behaviors of community residents in Dongfang City, Hainan Province, and to analyze the influencing factors of different categories.Methods:From March to May 2023, 795 community residents of Dongfang City were selected for the study using a simple random sampling method. General Information Questionnaire, Chinese version Short of Health Promotion Lifestyle Profile-Ⅱ, Health Conception Scale, and Self-rated Abilities for Health Practice Scale were used to conduct the survey. Cluster analysis was used to explore the health behavior categories of community residents, and a decision tree model was applied to analyze the influencing factors of different categories.Results:A total of 830 questionnaires were distributed, and 795 valid questionnaires were recovered, with a valid recovery rate of 95.78%. The health behaviors of 795 community residents in Dongfang City were divided into four categories of comprehensive behavior group (26.04%, 207/795), healthy behavior group (37.23%, 296/795), risky behavior group (18.99%, 151/795), and poor health behavior group (17.74%, 141/795). The decision tree model showed that exercise efficacy, gender, ethnicity, and clinical health concepts were the factors influencing different health behavior categories of community residents in Dongfang City ( P<0.05), with exercise efficacy being the core factor. Conclusions:There is heterogeneity in the health behavior of community residents in Dongfang City. Community healthcare workers can implement targeted health promotion measures according to the behavioral characteristics of the population.

Stroke is one of the leading causes of death and disability worldwide， ranking as the second leading cause of mortality globally and the primary cause of adult disability. Its pathological process involves complex cascade mechanisms， with high incidence and disability rates， posing a major threat to human health. According to statistics from the World Health Organization， more than 13 million new cases of stroke occur globally each year， resulting in direct medical costs and socioeconomic burdens amounting to hundreds of billions of dollars. In recent years， breakthroughs in the study of programmed cell death mechanisms have provided new insights into stroke treatment. Among them， ferroptosis， a novel form of cell death driven by iron-dependent lipid peroxidation， has attracted widespread attention in the pathological process of stroke. Ferroptosis is closely associated with iron metabolism disorders， oxidative stress， and lipid peroxidation， and exhibits unique regulatory effects in key pathological processes of stroke， such as ischemia-reperfusion injury， disruption of the blood-brain barrier， and neuronal apoptosis. It plays an important role in post-stroke neurological damage. Chinese medicine， as an essential component of traditional Chinese medicine （TCM）， has demonstrated advantages in modulating ferroptosis and exerting neuroprotective effects. This review systematically summarizes current research on the neuroprotective mechanisms of Chinese medicine compound formulas and monomers through the regulation of ferroptosis pathways in post-stroke conditions， aiming to provide a basis for optimizing clinical treatment strategies and exploring new therapeutic approaches， and to offer new strategies and approaches for stroke treatment.

Stroke is one of the leading causes of death and disability worldwide， ranking as the second leading cause of mortality globally and the primary cause of adult disability. Its pathological process involves complex cascade mechanisms， with high incidence and disability rates， posing a major threat to human health. According to statistics from the World Health Organization， more than 13 million new cases of stroke occur globally each year， resulting in direct medical costs and socioeconomic burdens amounting to hundreds of billions of dollars. In recent years， breakthroughs in the study of programmed cell death mechanisms have provided new insights into stroke treatment. Among them， ferroptosis， a novel form of cell death driven by iron-dependent lipid peroxidation， has attracted widespread attention in the pathological process of stroke. Ferroptosis is closely associated with iron metabolism disorders， oxidative stress， and lipid peroxidation， and exhibits unique regulatory effects in key pathological processes of stroke， such as ischemia-reperfusion injury， disruption of the blood-brain barrier， and neuronal apoptosis. It plays an important role in post-stroke neurological damage. Chinese medicine， as an essential component of traditional Chinese medicine （TCM）， has demonstrated advantages in modulating ferroptosis and exerting neuroprotective effects. This review systematically summarizes current research on the neuroprotective mechanisms of Chinese medicine compound formulas and monomers through the regulation of ferroptosis pathways in post-stroke conditions， aiming to provide a basis for optimizing clinical treatment strategies and exploring new therapeutic approaches， and to offer new strategies and approaches for stroke treatment.

Natural products (NPs) are an important source of new drugs for the treatment of stroke. Identifying cellular targets for bioactive molecules is a major challenge and critical issue in the development of new drugs for stroke. Small-molecule probes play a unique role in target discovery. However, drawbacks to these probes include non-specificity, unstable activity, and difficulty in synthesis. Small-molecule probes based on NPs at least partially compensate for these shortcomings. NPs feature rich chemical and structural diversity, biocompatibility, and unique biological activities. These features could be exploited to provide new ideas and tools for target discovery. Small-molecule probes based on NPs provide a precise and direct search for interacting protein targets of NPs-active small molecules. This review explores the properties of small-molecule probes based on NPs and their applications in mechanistic studies of stroke and other diseases. We hope that this review will bring new perspectives to the mechanistic study of NPs-active small molecules and accelerate the translation of these ingredients into drug candidates for the treatment of stroke.