Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

In 2022， Hainan provincial government launched the project for the prevention and control of viral hepatitis with the goals of a hepatitis B screening rate of 90%， a diagnostic rate of 90%， and a treatment rate of 80% among people aged 18 years and above by the year 2025， and the main intervention measures include population-based prevention， case screening， antiviral therapy， and health management. As of December 31， 2024， a total of 6.875 million individuals in the general population had been screened for hepatitis B， with a screening rate of 95.6%. A total of 184 710 individuals with positive HBsAg were identified， among whom 156 772 were diagnosed through serological reexamination， resulting in a diagnostic rate of 84.9%. A total of 50 742 patients with chronic hepatitis B were identified， among whom 42 921 had hepatitis B-specific health records established for health management， with a file establishment rate of 84.6%. A total of 31 553 individuals received antiviral therapy， with a treatment rate of 62.2%. A total of 2.503 million individuals at a high risk of hepatitis C were screened， among whom 4 870 tested positive for HCV antibody and 3 858 underwent HCV RNA testing， resulting in a diagnostic rate of 79.2%， and 1 824 individuals with positive HCV RNA were identified， among whom 1 194 received antiviral therapy， with a treatment rate of 65.5%. In addition， 159 301 individuals with negative HBsAg and anti-HBs and an age of 20 — 40 years were inoculated with hepatitis B vaccine free of charge. Through the implementation of the project for the prevention and control of viral hepatitis， a large number of hepatitis patients have been identified， treated， and managed in the province within a short period of time， which significantly accelerates the efforts to eliminate the crisis of viral hepatitis.

Neuroscience is a significant frontier discipline within the natural sciences and has become an important interdisciplinary frontier scientific field. Brain is one of the most complex organs in the human body, and its structural and functional analysis is considered the “ultimate frontier” of human self-awareness and exploration of nature. Driven by the strategic layout of “China Brain Project”, Chinese scientists have conducted systematic research focusing on “understanding the brain, simulating the brain, and protecting the brain”. They have made breakthrough progress in areas such as the principles of brain cognition, mechanisms and interventions for brain diseases, brain-like computation, and applications of brain-machine intelligence technology, aiming to enhance brain health through biomedical technology and improve the quality of human life. Due to limited understanding and comprehension of neuroscience, there are still many important unresolved issues in the field of neuroscience, resulting in a lack of effective measures to prevent and protect brain health. Therefore, in addition to actively developing new generation drugs, exploring non pharmacological treatment strategies with better health benefits and higher safety is particularly important. Epidemiological data shows that, exercise is not only an indispensable part of daily life but also an important non-pharmacological approach for protecting brain health and preventing neurodegenerative diseases, forming an emerging research field known as motor neuroscience. Basic research in motor neuroscience primarily focuses on analyzing the dynamic coding mechanisms of neural circuits involved in motor control, breakthroughs in motor neuroscience research depend on the construction of dynamic monitoring systems across temporal and spatial scales. Therefore, high spatiotemporal resolution detection of movement processes and movement-induced changes in brain structure and neural activity signals is an important technical foundation for conducting motor neuroscience research and has developed a set of tools based on traditional neuroscience methods combined with novel motor behavior decoding technologies, providing an innovative technical platform for motor neuroscience research. The protective effect of exercise in neurodegenerative diseases provides broad application prospects for its clinical translation. Applied research in motor neuroscience centers on deciphering the regulatory networks of neuroprotective molecules mediated by exercise. From the perspectives of exercise promoting neurogenesis and regeneration, enhancing synaptic plasticity, modulating neuronal functional activity, and remodeling the molecular homeostasis of the neuronal microenvironment, it aims to improve cognitive function and reduce the incidence of Parkinson’s disease and Alzheimer’s disease. This has also advanced research into the molecular regulatory networks mediating exercise-induced neuroprotection and facilitated the clinical application and promotion of exercise rehabilitation strategies. Multidimensional analysis of exercise-regulated neural plasticity is the theoretical basis for elucidating the brain-protective mechanisms mediated by exercise and developing intervention strategies for neurological diseases. Thus,real-time analysis of different neural signals during active exercise is needed to study the health effects of exercise throughout the entire life cycle and enhance lifelong sports awareness. Therefore, this article will systematically summarize the innovative technological developments in motor neuroscience research, review the mechanisms of neural plasticity that exercise utilizes to protect the brain, and explore the role of exercise in the prevention and treatment of major neurodegenerative diseases. This aims to provide new ideas for future theoretical innovations and clinical applications in the field of exercise-induced brain protection.

Background Affected by concentration, composition, and population tolerance of air pollutants, the relationship between air pollutants and population health has regional differences. There is still a research gap in Guiyang. Objective To explore the short-term effects of air pollutant concentrations in low-pollution areas on the outpatient volume of respiratory diseases. Methods Spearman correlation analysis was used to evaluate the correlation between air pollutants, meteorological factors, and respiratory outpatient volume from January 1, 2013 to December 31, 2020 in Guiyang City. A single pollutant distribution lag nonlinear model and a multi-pollutant interaction model were established based on Poisson distribution. A three-dimensional diagram was drawn to display the relationship between air pollutants and respiratory outpatient volume. Quantitative analysis was conducted on the attribution risk and lag effect of air pollutant concentration on outpatient volume of respiratory diseases in Guiyang City. Results The results of the single pollutant model showed that fine particulate matter (PM_2.5), nitrogen dioxide (NO₂), carbon monoxide (CO), and sulfur dioxide (SO₂) elevated the outpatient volume of respiratory diseases. The maximum relative risk (RR) and 95%CI values of PM_2.5, NO₂,CO, and SO₂ appeared on Day 2, 0, 5, and 6, respectively, which were 1.019 (1.015, 1.023), 1.146 (1.122, 1.171), 1.129 (1.116, 1.143), and 1.046(1.040, 1.052), respectively. For every quartile concentration increment of PM_2.5, NO₂, CO, or SO₂, the outpatient volume of respiratory diseases increased by 0.943% (0.111%, 1.782%), 4.050% (3.573%, 4.529%), 0.595% (0.317%, 0.874%), or 0.667% (0.235%, 1.100%), respectively. The maximum RR (95%CI) of O₃ was 1.015 (1.007, 1.023) and appeared on Day 0. The results of multi-pollutant model showed that PM_2.5, NO₂, CO, SO₂, and O₃ all elevated the outpatient volume of respiratory diseases. The maximum RR values of PM_2.5, NO₂, CO, SO₂ and O₃ appeared on Day 14, 0, 5, 7 and 0, respectively, which were 1.027 (1.021, 1.034), 1.213 (1.179, 1.248), 1.059 (1.043, 1.074), 1.016 (1.005, 1.026), and 1.024 (1.015, 1.033), respectively. Compared with the single pollutant model, the RR values of PM_2.5, NO₂, and O₃ on the outpatient volume of respiratory diseases in the multi-pollutant model showed an upward trend, while the RR values of CO and SO₂ in the multi-pollutant model showed a downward trend. Conclusion The impact of low concentrations of PM_2.5, NO₂, CO, and SO₂ on human health cannot be ignored.

Objective To explore the prognostic value and immune infiltration landscape of anoikis-related long noncoding RNAs (arlncRNAs) in lung adenocarcinoma. Methods RNA-seq and clinical data of lung adenocarcinoma were downloaded from the TCGA database, and anoikis-related genes were obtained from the GeneCards and Harmonizome databases. Coexpression, differential, and WGCNA analyses were performed to screen differentially expressed arlncRNAs closely related to the occurrence of lung adenocarcinoma. A prognostic risk model was then constructed based on the arlncRNAs, and its predictive efficacy was further validated. Finally, consensus clustering was used to identify the molecular subtypes associated with anoikis in lung adenocarcinoma. Results Seven prognostic arlncRNAs were identified, and the prognostic risk models established based on them had AUC values of ROC curves greater than 0.7. Survival and immune infiltration analyses revealed that low-risk patients had high overall survival and immune infiltration, implying that they experienced good immune treatment effects. Drug sensitivity analysis showed that the high-risk patients were more sensitive to commonly used chemotherapeutic agents than the low-risk patients. According to the expression of model genes, subtypes C1 and C2 were identified through consensus clustering, and C1 showed a good prognosis. Conclusion The prognostic risk model based on the seven arlncRNAs can effectively predict the prognosis of lung adenocarcinoma patients. The results of immune-related and drug sensitivity analyses provide a reference for the precise individualized treatment of patients with lung adenocarcinoma.

AIM: To compare the efficacy of intravitreal injection of ranibizumab(IVR)and intravitreal injection of conbercept(IVC)in children with retinopathy of prematurity(ROP).METHODS: Retrospective study. A total of 1 100 eyes with ROP treated with intravitreal anti-VEGF at our hospital from January 2015 to June 2023 were included. According to the different therapeutic drugs, the children were divided into two groups: IVR group and IVC group. According to the degree of ROP, the patients were divided into three groups: aggressive ROP(A-ROP), Zone Ⅰ type 1 ROP and Zone Ⅱ type 1 ROP. The reactivation and retreatment between the two groups were compared after propensity score matching(PSM)analysis, and they were followed-up for at least 3 mo after surgery.RESULTS: In Zone Ⅱ type 1 ROP, there was a statistically significant difference in the rates of reactivation and retreatment between the IVR and IVC groups(P<0.05); however, in A-ROP and Zone I type 1 ROP, there were no statistically significant differences in the rates of reactivation and retreatment between the two groups(P>0.05). The risk of reactivation and retreatment of Zone I type 1 ROP was higher than the Zone II type 1 ROP. Furthermore, the use of drugs and corrected gestational age of first treatment were influencing factors of lesion recurrence and retreatment.CONCLUSION: There is a significant difference in the initial cure effect between the two drugs in Zone II type 1 ROP, with the reactivation and retreatment rates of the IVC group being much lower than those of the IVR group.

Objective To explore the effect of omeprazole combined with different probiotics on regulating intestinal flora in reducing functional dyspepsia(FD)in children.Methods Two hundreds children with FD admitted to the Pediatric Department of Foshan Maternal and Child Health Hospital from January 2022 to February 2023 were se-lected as the study subjects.They were randomly divided into omeprazde(omep)group,groups of omeprazole+yeast(yeast group),+clostridium butyricum(clos group),and+bifidobacterium(bifi group)respectively.Results After treatment,serum level of IL-6,TNF-α,IL-1β,hs-CRP,VIP,SS,Enterobacter and Enterococcus in all groups significantly decreased as compared with the finding before treatment(P<0.05).Those targets in the three combined treatment groups were significantly lower compared to the ome group;After treatment,the serum MOT level,bifidobacteria,and lactobacilli in each group were significantly increased(P<0.05),and the results from three combined treatment groups demonstrated notably higher levels compared to the omep group(P<0.05);The scores of symptoms in all groups showed a significant alleviation after the treatment(P<0.05).Additionally,the three combined treatment groups exhibited significantly lower symptom scores than the group treated with omeprazole alone(P<0.05).There was no difference in the incidence of adverse reactions during treatment among the groups.Conclusions Omeprazole combined with different probiotics have achieved good results in the treatment of FD in children.

The hippocampus and its circuits play crucial roles in human learning, memory, and emotional regulation. Whether it is vascular cognitive impairment (VCI) or Alzheimer's disease (AD), damage to the hippocampus is a prominent pathological feature. This review summarizes the recent advance in multimodal magnetic resonance imaging in anatomy, blood supply, structure and function of the hippocampus and the circuits related to VCI and AD in recent years, aiming to provide help in early recognizing and differentially diagnosing VCI and AD.

AIM To investigate the effect of Wendan Decoction on nerve injury in a mouse model of sleep disorders and its mechanism.METHODS A mouse model of insomnia was established by the modified multiple platform sleep deprivation method.After successful modeling,the mice were randomly divided into the model group,the estazolam tablet group(0.15 mg/kg)and the low-dose and high-dose Wendan Decoction groups(12.5,50 g/kg),with 6 mice in each group,in contrast to the 6 mice of the control group.After 7 days of drug intervention,the mice had their changes of cerebral cortex,hippocampal CA1 area and hypothalamus observed by HE staining;their neuronal damage observed by Nissl staining;their levels of neurofilament light chain(NEFL),neuron-specific enolase(NSE),S100 calcium-binding protein B(S100B),tumor necrosis factor(TNF-α),interleukin-6(IL-6)and interleukin-1β(IL-1β)in brain tissue and serum detected by ELISA;their cerebral expression of glial fibrillary acidic protein(GFAP)detected by immunohistochemical method;and their cerebral expressions of GFAP,phosphorylated IκB kinase β(p-IKKβ)and phosphorylated nuclear transcription factor-κB(p-NF-κB)detected by Western blot.RESULTS Compared with the model group,the high-dose Wendan Decoction group displayed increased number of neurons,complete and neatly arranged structure;decreased number of neurons with nuclear shrinkage and deformation;increased Nissl bodies,decreased levels of NEFL,NSE,S100B,TNF-α,IL-6 and IL-1β in serum and brain tissue(P＜0.01);decreased cerebral expression of GFAP(P＜0.01);and decreased phosphorylation levels of cerebral p-IKKβ and p-NF-κB(P＜0.01).CONCLUSION Wendan Decoction can reduce the nerve damage and the expression of proinflammatory mediator in sleep disorders mice,and the mechanism may be related to the inhibited activation of IKKβ/NF-κB pathway.

Objective:To learn about the single nucleotide polymorphism (SNP) population structure and regional distribution characteristics of Yersinia pestis in the natural focus of plague in Qinghai-Tibet Plateau. Methods:A total of 319 representative strains of Yersinia pestis isolated from natural focus of plague in Qinghai-Tibet Plateau from 1954 to 2020 were selected, and 2 298 SNP loci included in the global Yersinia pestis phylogenetic tree were compared by whole genome sequencing technology. MEGA 6.0 software was used to construct phylogenetic trees of 319 strains of Yersinia pestis from Qinghai-Tibet Plateau, determine the SNP population structure of Yersinia pestis in the focus, and describe its regional distribution characteristics. Results:The 319 strains of Yersinia pestis isolated from Qinghai-Tibet Plateau natural plague foci were distributed in 5 clades, namely 1.IN, 2.ANT, 3.ANT, 0.PE and 2.MED. The 1.IN clade contained 209 strains (65.52%, 209/319), which was the dominant population of strains in Qinghai Province, accounting for 90.51% (143/158). The 2.ANT clade contained 83 strains (26.02%, 83/319), which was the dominant population in Tibet Autonomous Region, accounting for 67.24% (78/116). The 3.ANT, 0.PE, and 2.MED clades contained 12 (3.76%, 12/319), 9 (2.82%, 9/319) and 6 strains (1.88%, 6/319), respectively, which were scattered in Qinghai Province, Gansu Province, Sichuan Province, Tibet Autonomous Region, and Xinjiang Uygur Autonomous Region under the jurisdiction of Qinghai-Tibet Plateau. Conclusion:The SNP population structure of Yersinia pestis in natural focus of plague in Qinghai-Tibet Plateau is relatively rich, and the strains are distributed in 5 clades: 1.IN, 2.ANT, 3.ANT, 0.PE and 2.MED, showing the distribution characteristics of specific regions.