[摘 要] 目的：探讨同源框蛋白C4（HOXC4）在胃癌组织和细胞中的表达及其对胃癌细胞增殖、迁移与侵袭的作用及其机制。方法：收集2020年5月至2021年4月期间在南阳市第一人民医院肿瘤科手术切除的16例进展期胃癌患者的癌及癌旁组织标本，以及人胃正常上皮细胞GES-1和胃癌细胞AGS、SGC-790和MGC-803，采用WB法检测胃癌组织和细胞中HOXC4的表达。通过RNA干扰技术对SGC-790及AGS细胞中HOXC4进行敲低或过表达，实验分为sh-HOXC4#1组、sh-HOXC4#2组、sh-Con组、sh-HOXC4 + pc-integrin β1组、pc-HOXC4组、pc-Con组、pc-HOXC4 + pc-integrin β1组。利用EdU、CCK-8、Transwell实验分别检测敲低或过表达HOXC4对各组细胞活力、增殖、侵袭、迁移和integrin β1表达的影响。用敲低HOXC4的胃癌AGS细胞构建荷瘤小鼠模型，观察敲低HOXC4对移植瘤体积及组织中Ki67和integrin β1蛋白表达的影响。结果：胃癌组织和细胞中HOXC4的表达均显著上调（均P < 0.01）。与sh-Con组相比，sh-HOXC4#1组和sh-HOXC4#2组SGC-790及AGS细胞中HOXC4、integrin β1蛋白表达水平，以及细胞的活力、增殖、迁移及侵袭能力均显著降低（均P < 0.01）。与sh-HOXC4组相比，sh-HOXC4 + pc-integrin β1组细胞活力、增殖、迁移及侵袭能力均显著增加（均P < 0.01）；与pc-Con组相比，pc-HOXC4组细胞活力、侵袭及迁移能力均显著增加（均P < 0.01）；与pc-HOXC4组相比，pc-HOXC4 + pc-integrin β1组细胞活力、迁移及侵袭能力均显著降低（均P < 0.01）。与sh-Con组相比，sh-HOXC4#1组和sh-HOXC4#2组小鼠移植瘤生长缓慢、体积变小，组织中Ki67和integrin β1表达均显著降低（均P < 0.01）。结论：HOXC4在胃癌组织与细胞中表达上调，其通过激活integrin β1信号促进胃癌细胞的增殖、迁移与侵袭。

Background: From the perspective of traditional medicine, researchers believe that the individual’s innate quality has a reciprocal effect on the physiological level. The study of body-specific quality differences is important for improving disease risk prediction, diagnosis, and treatment approaches. Therefore, explaining the features of traditional medicine with some physiological parameters and establishing the relationship between them is clinically significant and important for predicting disease risk and developing individualized treatment methods, which is the basis of this research. Aim: To establish the correlation between an individual’s innate unique constitution and specific biochemical indicators. Materials and Methods: The innate unique constitution of individuals was determined using electronic data, and the relationships between their characteristics and levels of uric acid, creatinine, urea, and glucose in the blood were analyzed. Results: A total of 102 participants were included in the study. Among them, the Shar-Khi constitution was the most prevalent, with 28 cases (27.45%), while the Khi-Badgan constitution was the least common, with 13 cases (12.75%). Individuals with the Khi-Shar constitution exhibited the highest urea level at 4.47 ммоль/л, whereas those with the Badgan-Shar constitution had the lowest at 4.15 ммоль/л. The uric acid level was highest in individuals with the Shar-Khi constitution at 316.15 µmol/L and lowest in those with the Badgan-Shar constitution at 261.36 µmol/L (p<0.001). Furthermore, individuals with the Badgan-Khi constitution had the highest creatinine level at 73.51 µmol/L, while those with the Badgan-Shar constitution had the lowest at 63.97 µmol/L (p<0.001). The blood glucose level was highest in individuals with the Khi-Badgan constitution at 4.59 ммоль/л and lowest in those with the Khi-Shar constitution at 4.21 ммоль/л. Kidney function indicators, particularly creatinine, significantly correlated with blood glucose levels (r=0.67, p<0.01). Higher uric acid and creatinine levels were associated with elevated blood glucose levels. These findings suggest that variations in urea, uric acid, and creatinine levels among different unique constitutions could be utilized to predict the risk of kidney disease or diabetes. Conclusion Depending on the individual characteristics of traditional medicine, kidney and blood sugar parameters are different and related to each other, and can assess the state of diabetes and kidney disease. Determining the inherent characteristics of an individual is considered important for improving the diagnosis, treatment, and prevention of diabetes and kidney disease.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.

Objective To explore the mediating role of activities of daily living (ADL) in pain and depressive symptoms in the elderly in China. Methods Utilizing the data from 2020 China Health and Retirement Longitudinal Study, 4403 Chinese elderly individuals aged ≥ 60 years old were selected as the research subjects. Depression Scale (CES-D 10) of the Center for Epidemiological Survey and ADL scale were used in the study. The PROCESS4.1 macro was used to test the mediating effect of daily living activities between pain and depressive symptoms, and the Bootstrap method was applied for verification of the mediating variables. Results A total of 2368 cases of depressive symptoms were detected in the elderly in China, with a detection rate of 53.78%. Pain was positively correlated with depressive symptoms (r=0.27, P<0.01), and activities of daily living were negatively correlated with pain and depressive symptoms (r=-0.27, -0.337, P<0.01). The results showed that the total effect value of pain on depressive symptoms was 0.33, the direct effect value was 0.24, and the mediating effect value of daily living activities was 0.09, accounting for 27.27%. Conclusion Pain and activities of daily living are important factors influencing depressive symptoms in the elderly, and activities of daily living play a partial mediating role in the relationship between pain and depressive symptoms in the elderly.

Objective: To investigate the differences in enolase and laminin levels in vaginal epithelial tissues between mice successfully infected withGardnerellaand mice not infected with Gardnerella, providing information for further exploration of the correlation between enolase and laminin levels and the incidence of bacterial vaginosis. Methods: Gardnerella strains isolated, purified, and identified from vaginal secretions of patients with bacterial vaginosis were used to infect the vagina of mice and establish a mouse model of bacterial vaginosis. Successful and failed mice was defined as successful and failed groups, respectively. Differential expression of enolase and laminin in the vaginal epithelial tissue of two groups of mice was detected by Western blot. Modeling success rate was statistically analyzed, and the expression differences of enolase and laminin was compared between two groups. Results: One strain of Gardnerella vaginalis infected 10 SPF grade KM mice, 7 mice met the diagnostic criteria for bacterial vaginosis, and 3 mice failed to model, with a success rate of 70%. Western blot was used to detect protein expression levels, and the levels of laminin and enolase in the successfully modeled mouse vaginal epithelial tissue were significantly higher than those in the failed modeling group, with statistical differences between the two groups(P<0.05). Conclusion Enolase and laminin may be involved in the occurrence of bacterial vaginosis, however, further research is needed to determine the mechanisms through which they trigger the occurrence and development of the disease.