Esophageal cancer （EC） is a highly prevalent malignant tumor in China. The phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， as one of the key oncogenic pathways， can promote the cell cycle progression， proliferation， migration， and invasion， induce chemoresistance， and inhibit apoptosis and autophagy of EC cells. Traditional Chinese medicine （TCM）， with the advantages of targeting multiple points with multiple components to delay cancer progression， can target the PI3K/Akt signaling pathway for EC treatment. This article preliminarily discusses the molecular mechanism and role of the PI3K/Akt signaling pathway in EC and elaborates on the specific targets and efficacy of TCM in treating EC through intervention in the PI3K/Akt signaling pathway in the past five years. TCM materials and extracts inhibiting the PI3K/Akt signaling pathway in EC include Borneolum， spore powder of Ganoderma lucidum without spore coat， extract of Celastrus orbiculatus， root extract of Taraxacum， and Bruceae Fructus oil emulsion. TCM active ingredients exerting the effect include flavonoids， terpenoids， saponins， phenols， polysaccharides， alkaloids， and other compounds. TCM compound prescriptions with such effect include Qige San， Huqi San， Xuanfu Daizhetang， Tongyoutang and its decomposed prescriptions， Liujunzi Tang， and Xishenzhi Formula. In addition， TCM injections such as Compound Kushen Injection and Kang'ai injection also inhibit the PI3K/Akt signaling pathway in EC. This paper summarizes the role of the PI3K/Akt signaling pathway in EC and the TCM interventions， aiming to provide reference for the research and clinical application of new drugs for EC.

ObjectiveTo investigate the associations of multiple glycolipid metabolic indicators and their cumulative abnormality burden with incident colorectal cancer risk in a general population-based prospective cohort, and to examine the mediating role of glycolipid metabolic abnormalities in the relationships between smoking, alcohol consumption, physical activity, and colorectal cancer incidence. MethodsA total of 17 897 eligible participants recruited from the Taizhou Cohort between 2011 and 2014 were included. Cox proportional hazards regression models were used to assess the associations of conventional and derived glycolipid indicators, as well as a glycolipid abnormality index constructed from total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fasting plasma glucose, and insulin, with incident colorectal cancer risk. Restricted cubic spline models were applied to evaluate dose-response relationships for major indicators. Receiver operating characteristic curves were generated to compare predictive performance across indicators. Mediation analyses were conducted to assess the mediating effects of the glycolipid abnormality index on the associations of smoking, alcohol consumption, and physical activity with colorectal cancer incidence. ResultsDuring a median follow-up of 11.2 years, 102 incident colorectal cancer cases were identified, with an incidence density of 51.2 per 100 000 person-years. After adjustment for potential confounders, Cox proportional hazards regression analyses showed that decreased high-density lipoprotein cholesterol was associated with a 1.74-fold higher risk of colorectal cancer (HR=1.74, 95%CI: 1.03‒2.95), elevated low-density lipoprotein cholesterol was associated with a 1.78-fold higher risk (HR=1.78, 95%CI: 1.05‒3.02), and abnormal fasting plasma glucose was associated with a 1.86-fold higher risk (HR=1.86, 95%CI: 1.15‒3.02). Triglycerides and fasting plasma glucose showed an approximately linear increasing association with colorectal cancer risk in multivariable restricted cubic spline models. The glycolipid abnormality index showed a clear gradient association with colorectal cancer risk; participants with three or more abnormal indicators had a 3.08-fold higher risk than those without abnormalities (HR=3.08, 95%CI: 1.60‒5.92). The area under the curve was 0.795, higher than that of individual glycolipid indicators and other combined indices, and gender-stratified analyses showed generally consistent patterns. Glycolipid metabolic abnormalities partially mediated the associations of smoking, alcohol consumption, and physical activity with colorectal cancer incidence, with mediation proportions of 8.33%, 9.45%, and 9.04%, respectively. ConclusionGlycolipid metabolic abnormalities are associated with an increased risk of incident colorectal cancer. The glycolipid abnormality index shows an increasing relationship with colorectal cancer risk and demonstrates better discrimination, and it partially mediates the associations of smoking, alcohol consumption, and physical activity with colorectal cancer incidence in the overall population.

The mental health management of laboratory animals is a critical factor in ensuring the reliability of scientific research data. However, due to the subtle nature of mental state alterations and the limitations of current assessment methods, the mental health of laboratory animals is often overlooked by researchers. Therefore, there is an urgent need to explore a new, objective, simple, and practical method for evaluating mental health. Stress, as a primary factor inducing alterations in the mental state of animals, can influence experimental results across multiple research fields through the neuroendocrine-immune network. This paper first elucidates the necessity of mental health management in laboratory animals from three perspectives: factors contributing to stress, neural mechanisms of stress, and research areas affected by stress. It highlights that excluding animals with abnormal mental states before experiments can enhance the efficiency and reproducibility of biomedical studies. Second, this paper briefly summarizes existing methods for assessing the health of laboratory animals, pointing out that approaches such as behavioral tests and metabolomics have many limitations in evaluating stress responses. Existing methods struggle to meet the demand for simple, objective, and non-invasive assessment methods in animal management. Therefore, this paper focuses on hair, a biological sample with the advantages of cumulative information and non-invasive collection, and systematically describes the theoretical basis and technological advances in using hair characteristics as indicators of stress responses from three perspectives: hair traits, the levels of substances in hair, and artificial intelligence (AI). It proposes and supports an innovative technical pathway that combines hair traits with AI-based image analysis, with the aim of offering an improved solution for non-invasive and objective stress assessment, while providing theoretical support for improving the health management system of laboratory animals.

Objective:To analyze the effects of the disease and injury spectrum on health-adjusted life expectancy (HALE) among permanent residents aged 55 and above in Shenzhen from 2016 to 2030.Methods:Based on the mortality surveillance data and the permanent resident population data in Shenzhen from 2016 to 2022, the Sullivan method was used to calculate the HALE during 2016—2022. The Bayesian age-period-cohort model and the grey system model were used to predict the HALE during 2023—2030. The HALE changes in the two periods were decomposed into the contributions of 20 categories of diseases and injuries, respectively.Results:From 2016 to 2022, the HALE increased from 31.41 years (95% CI: 30.50-32.32) to 33.57 years (95% CI: 32.47-34.67). During this period, the mortality effect of neurological disorders slowed the increase of HALE, with a reduction of 0.27 years. By 2030, it is anticipated that the HALE will reach 36.40 years (95% CI: 34.78-38.01). This is expected to be influenced by the mortality effects of nutritional deficiencies (-0.40 years) and mental disorders (-0.29 years), as well as the disability effects of musculoskeletal disorders (-0.66 years), skin and subcutaneous diseases (-0.21 years) and nutritional deficiencies (-0.13 years). Conclusion:The HALE of permanent residents aged 55 years and above in Shenzhen demonstrated an increasing trend over time. Greater attention should be paid to the adverse effects of neurological disorders, nutritional deficiencies, mental disorders, musculoskeletal disorders, and skin and subcutaneous diseases on the continuous increase of HALE in this population.

A case of Sifrim-Hitz-Weiss syndrome(Sifrim-Hitz-Weiss syndrome,SIHIWES)is presented.The patient was a 35-year-old male with cryptorchidism,growth retardation,skeletal malformations,muscular atrophy,a wide forehead,special facial features like square face,small low-set and cup-shaped ears since birth.Whole-exon sequencing identified a heterozygous mutation(NM_001273:c.3047A>G(chr12-6701125)(p.K1016R))in CHD4 gene.The clinical significance of this mutation is currently unknown,and has not been previously reported.In light of the patient's symptoms,the case was diagnosed as Sifrim-Hitz-Weiss syndrome.This case represents the first instance of Sifrim-Hitz-Weiss syndrome in an adult patient in China.

Purpose Based on multimodal imaging combined with a variety of histological techniques,to visually evaluate the changes of rats brain metabolic microenvironment after cerebral hypoxia and ischemia of prematurity,and to discuss the effects of abnormal lactate metabolism in the brain on oligodendrocyte precursor cells,so as to provide a basis for the early diagnosis and treatment of premature white matter injury(PWMI).Materials and Methods A total of 36 SPF-grade healthy 3-day-old Sprague-Dawley neonatal rats were randomly assigned to the sham surgery(Sham)group and the model(PWMI)group using a random number table method,with 18 rats in each group.A neonatal rat PWMI model was established by hypoxia-ischemia method.Twenty-four hours after modeling,laser speckle imaging was used to monitor cerebral blood flow and blood oxygen changes.Multimodal imaging was used to observe the changes in brain tissue microstructure and metabolism after PWMI.HE staining was used to observe the morphological changes of nerve cells in the white matter of the brain.Enzyme-linked immunosorbent assay was used to detect the changes of lactate content and lactate dehydrogenase activity in the white matter region of the brain after PWMI in neonatal rats.PDGFR-α immunofluorescence staining was used to observe the dynamic changes of the number of oligodendrocyte precursor cells in the subependymal zone after PWMI in neonatal rats.Results Twenty-four hours after modeling,the multimodal imaging results showed that the T2WI and diffusion-weighted imaging on the injured side of the PWMI group showed high intensity,and the relative cerebral blood flow,relative oxygen saturation,relative apparent diffusion coefficient and amide proton transfer(APT)Lorentzian difference value were lower than those in the Sham group(t=29.466,23.522,59.006,54.778,10.263,all P<0.001),and the lactate content was higher than that in the Sham group(t=-7.521,P<0.001).The results of HE staining and enzyme-linked immunosorbent assay showed that the arrangement of nerve cells in the white matter area of the injured side of the brain in the PWMI group was loose and disordered.The lactate content and lactate dehydrogenase activity were higher than those in the Sham group(t=-6.079,-10.548,both P<0.001).The results of immunofluorescence staining showed that the number of PDGFR-α+cells in the subependymal zone of the damaged side of the PWMI group was higher than that of the Sham group at 24 hours after modeling,and lower than that in the Sham group at 11 days after modeling(t=-8.386,6.676,both P<0.001).The correlation analysis between the lactate content and APT Lorentzian difference value in the brain and the number of oligodendrocyte precursor cells in the brain 11 days after modeling showed that the number of oligodendrocyte precursor cells in the subependymal zone was positively correlated with the APT Lorentzian difference value(r=0.821,P=0.001 1),and negatively correlated with the lactate content in the brain(r=-0.880,P=0.000 2).Conclusion Multimodal imaging can monitor the early brain metabolism changes of PWMI in neonatal rats,especially the changes of lactate,and provide a visual basis for their early diagnosis.The level of lactate in the brain increases after cerebral hypoxia and ischemia in prematurity,and oligodendrocyte precursor cells increase transiently and then decrease,resulting in PWMI.

Objective In order to strengthen the connotation construction of hospitals,promote high-quality develop-ment,improve the quality of medical services,improve operational efficiency,and explore and practice the performance manage-ment mode in combination with the characteristics of the hospital's own development.Methods Take a tertiary children's spe-cialty hospital in Wuxi as an example,optimize the internal performance appraisal management system of the hospital,and con-duct dynamic monitoring and management of the whole appraisal process.Results The sample hospital constructed a multifacet-ed performance management system,and the performance appraisal results of the national tertiary public hospital in 2022 were significantly improved,and the various appraisal indexes,such as the percentage of fourth-level surgery,the intensity of antimi-crobial drug use,the value of CMI,the satisfaction degree of the medical staff,and the satisfaction degree of the outpatients,were kept optimized.Conclusion The continuous optimization of the performance management model has improved the hospital's level of refined management,the efficiency of collaboration between departments,the efficiency of resource allocation,and the efficiency of economic operation,stimulated the work motivation of medical staff,and improved the quality of medical services.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective:To analyze the effects of the disease and injury spectrum on health-adjusted life expectancy (HALE) among permanent residents aged 55 and above in Shenzhen from 2016 to 2030.Methods:Based on the mortality surveillance data and the permanent resident population data in Shenzhen from 2016 to 2022, the Sullivan method was used to calculate the HALE during 2016—2022. The Bayesian age-period-cohort model and the grey system model were used to predict the HALE during 2023—2030. The HALE changes in the two periods were decomposed into the contributions of 20 categories of diseases and injuries, respectively.Results:From 2016 to 2022, the HALE increased from 31.41 years (95% CI: 30.50-32.32) to 33.57 years (95% CI: 32.47-34.67). During this period, the mortality effect of neurological disorders slowed the increase of HALE, with a reduction of 0.27 years. By 2030, it is anticipated that the HALE will reach 36.40 years (95% CI: 34.78-38.01). This is expected to be influenced by the mortality effects of nutritional deficiencies (-0.40 years) and mental disorders (-0.29 years), as well as the disability effects of musculoskeletal disorders (-0.66 years), skin and subcutaneous diseases (-0.21 years) and nutritional deficiencies (-0.13 years). Conclusion:The HALE of permanent residents aged 55 years and above in Shenzhen demonstrated an increasing trend over time. Greater attention should be paid to the adverse effects of neurological disorders, nutritional deficiencies, mental disorders, musculoskeletal disorders, and skin and subcutaneous diseases on the continuous increase of HALE in this population.

A case of Sifrim-Hitz-Weiss syndrome(Sifrim-Hitz-Weiss syndrome,SIHIWES)is presented.The patient was a 35-year-old male with cryptorchidism,growth retardation,skeletal malformations,muscular atrophy,a wide forehead,special facial features like square face,small low-set and cup-shaped ears since birth.Whole-exon sequencing identified a heterozygous mutation(NM_001273:c.3047A>G(chr12-6701125)(p.K1016R))in CHD4 gene.The clinical significance of this mutation is currently unknown,and has not been previously reported.In light of the patient's symptoms,the case was diagnosed as Sifrim-Hitz-Weiss syndrome.This case represents the first instance of Sifrim-Hitz-Weiss syndrome in an adult patient in China.