BACKGROUND:The micro/nanostructured gradient biomimetic surface of implant materials can simulate the structure of the extracellular environment in human bone tissue,thereby achieving perfect bone integration function.However,further research is needed on the mechanisms by which the surface microstructure of bone implant materials regulates cell function and promotes osteogenesis. OBJECTIVE:To analyze the effect of titanium sheet microstructure surface on osteogenic differentiation of MC3T3-E1 osteoblasts. METHODS:(1)At a constant voltage of 5 V or 20 V,nanotube arrays of different diameters were prepared on the surface of titanium sheets by acid etching and anodic oxidation techniques,and were recorded as group R5 and group R20,respectively.The surface morphology,roughness,and hydrophilicity of pure titanium sheet(without acid etching or anodizing treatment)were measured in group R5 and group R20.(2)MC3T3-E1 osteoblasts of logarithmic growth stage were inoculated on the surface of pure titanium sheets,R5 group and R20 group respectively.After 24 hours of osteogenic induction culture,the expression of mechanical sensitive channel protein 1 was analyzed by RT-PCR and immunofluorescence staining.Osteoblast inducible base with or without the mechanosensitive channel protein 1 activator Yada1 was added,and alkaline phosphatase staining was performed after 7 days of culture.Alizarin red staining was performed after 14 days of culture. RESULTS AND CONCLUSION:(1)The surface of pure titanium sheets was smooth under scanning electron microscope.Relatively uniform and orderly nanotube arrays with average diameters of about 30 nm and 100 nm were observed on the surface of titanium sheets of groups R5 and R20,respectively.The results of scanning electron microscope were further verified by atomic force microscopy.The surface roughness of titanium sheet of group R5 was higher than that of pure titanium(P<0.05),and the water contact angle was lower than that of pure titanium(P<0.05).The surface roughness of titanium sheet in group R20 was higher than that in group R5(P<0.05),and the water contact angle was lower than that in group R5(P<0.05).(2)RT-PCR and immunofluorescence staining showed that the expression of mechanosensitive channel protein 1 in group R5 was higher than that in pure titanium group(P<0.05),and the expression of mechanosensitive channel protein 1 in group R20 was higher than that in group R5(P<0.05).Under the osteogenic induction,compared with the condition without Yada1,there were no significant changes in the activity of alkaline phosphatase and the deposition of calcified nodules in pure titanium group after Yada1 addition,while the activity of alkaline phosphatase and the deposition of calcified nodules in groups R5 and R20 after Yada1 addition were significantly increased(P<0.05).With or without Yada1,the alkaline phosphatase activity and calcified nodule deposition in group R5 were higher than those in pure titanium group(P<0.05),and the alkaline phosphatase activity and calcified nodule deposition in group R20 were higher than those in group R5(P<0.05).(3)The results show that the surface microstructure of titanium sheet can promote the osteogenic differentiation of osteoblast MC3T3-E1 by activating mechanosensitive channel protein 1.

Diabetic retinopathy（DR）， as one of the most common and serious microvascular complications of diabetes mellitus， seriously threatens human health， and belongs to "Xiaoke eye diseases" in traditional Chinese medicine（TCM）， which has been richly experienced by medical practitioners through the ages， but is mostly recorded in a piecemeal manner and has not been systematically researched. This disease is featured by long course and repeated attack， and is refractory， which belongs to the research category of "persistent illness entering collaterals". Systematic establishment of TCM collateral disease theory for guiding prevention and treatment of DR has important clinical value. On the basis of close correlation between tertiary collaterals at the terminal of collaterals and capillaries and microcirculation， the concept of "tertiary collaterals-microvascular" is proposed. It is pointed out that DR falls within the scope of "tertiary collaterals-microvascular" diseases， and presents four types of micro-pathological characteristics， including stasis， insufficiency， growth and bleeding of tertiary collaterals. It is concluded that "deficiency of both Qi and Yin" is the basic pathogenesis of DR， and "blood stasis and collateral obstruction" is the important pathogenesis and key factor. Thus， the treatment method of "dispersing blood stasis， dredging collateral， tonifying Qi and Yin， stopping hemorrhage and improving eyesight" is determined， and the formula of Tongluo Mingmu capsules is developed. The article tightly focuses on the pathological changes such as stasis， growth， insufficiency and bleeding of collaterals， addresses both symptoms and root causes， and plays a synergistic role of both dispersing stasis and stopping bleeding. In this way， it can realize the purpose of tonifying Qi and Yin to replenish the essence， dispersing stasis and dredging collaterals to meet the requirement， as well as stopping hemorrhage and improving eyesight to deal with changes. Fundamental researches demonstrate that Tongluo Mingmu capsules has synergy effects of protecting both retinal capillaries and retinal cells. Phase-Ⅲ clinical trial of new drug has proven definite clinical efficacy and good safety， which provides a new drug choice for enhancing clinical effect of DR， and further supports the scientific value of Luobing theory in preventing and treating DR and other clinically significant diseases.

ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.

ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.

With the widespread application of artificial intelligence （AI） technology in medical data analysis， the issue of protecting patients’ privacy rights has become increasingly prominent. This paper sorted out the development trends and current situation of medical data analysis and revealed the main dilemmas in privacy protection， including the risks in the process of data collection and storage， the imperfections of laws and regulations， and the impact of ethical issues. It further explored effective ways to enhance patients’ privacy education and awareness， including comprehensively strengthening the promotion of data anonymization technology in the process of data collection and storage， improving laws， regulations， and industry standards to ensure patient privacy security， establishing a multi-party cooperative privacy protection mechanism to achieve collaborative governance and shared responsibility， as well as enhancing patient privacy awareness to strengthen their cognition and trust in privacy protection， which can effectively promote collaborative governance and shared responsibility for privacy protection.

The killing effect of radiation therapy on healthy cells has led to the creation of targeted radionuclide therapy,which effectively reduces the damage to surrounding normal cells.At present,alpha(α)and beta(β)radionuclides are the research hotspots of targeted therapy.Numerous preclinical and clinical studies have shown that radiation therapy not only has local anti-tumor effects,but also exerts systemic anti-tumor effects by triggering the body's immune response.This paper describes in detail the characteristics and clinical applications of commonly used radionuclides,and discusses the mechanism of radiation-triggered body immune response as well as the related research on the combined use of radiation therapy,targeted radionuclide therapy and immunotherapy.

Targeted radiation therapy using radionuclides is a favored approach for treating tumors.This procedure involves the delivery of drugs to the lesion site via carriers or interventional methods,followed by the emission of radiation energy that selectively irradiates the lesion tissue.This approach minimizes damage to normal tissue and achieves the desired therapeutic effect.Factors such as the type of therapeutic radionuclide,radiation energy,physical half-life,method of preparation,and toxicity determine their clinical application.In this paper,the characteristics and clinical application of therapeutic radionuclides were reviewed to providing reference for the clinical application of targeted therapeutic radionuclides.

ObjectiveTo investigate the prevalence of polycystic ovary syndrome （PCOS） among female college students at a university in Fuzhou City， Jiangxi Province， and to facilitate early detection and intervention of PCOS. MethodsUsing a stratified sampling method， a total of 450 female freshmen were randomly selected for PCOS screening. A self-designed questionnaire was used for data collection， covering menstrual status， high androgen signs， lifestyle， dietary habits， and awareness of PCOS. Sample t test and χ² test were used to compare the basic information and dietary habits between PCOS and non-PCOS cases. The correlation between various indicators and the prevalence of PCOS was analyzed by a logistic regression model. ResultsA total of 12 PCOS cases were identified， with a prevalence rate of 2.99%. PCOS cases exhibited statistically significant differences compared to non-PCOS cases in terms of waist-to-hip ratio， waist circumference， abdominal obesity， the proportion of overweight or obese individuals， and a preference for sweet food （all P<0.05）. Multivariate logistic regression analysis revealed a significant correlation between preference for sweet food and the occurrence of PCOS （OR=4.858， 95%CI=1.199‒19.675，P=0.027）， as well as a significant correlation with PCOS accompanied by abdominal obesity （OR=7.083， 95%CI=0.773‒64.937， P=0.048）. Among the female college students surveyed， 37.90% had never heard of PCOS， 51.62% were only familiar with the name of the disease， and 10.47% had attempted to search for PCOS-related information. ConclusionThe prevalence of PCOS among female college students should not be overlooked and unhealthy dietary habits may be a crucial factor contributing to the occurrence of PCOS during this period. Early screening for PCOS during puberty is crucial.

Objective: To construct a risk prediction model for poly victimization (PV) among rural left behind middle and high school students in Chaoshan, and to evaluate the prediction effect of the model, so as to provide scientific basis for early identification and prevention of PV among students. Methods: A questionnaire survey was conducted among 1 005 left behind students, selected from 7 middle and high schools in rural areas of Shantou City and Jieyang City by a stratified random cluster sampling method from January 2020 to September 2021, for the personal, family, external environmental factors, psychological factors (mental resilience, coping approaches, self esteem and social support) and PV situations. R software and Logistic regression were used to screen predictor variables to build a risk prediction model, and the area under the ROC curve (area under the curve, AUC), accuracy, precision, recall, F1 value and calibration curve were used to evaluate the model s effect. Results: The incidence rate of PV among left behind middle and high school students was 23.38%. The results of Logistic regression analysis showed that physical illness or disability ( β =1.02), grade retention during the past year ( β =1.31), having no close partner ( β =1.00), self harm intention (seldom: β = 0.58 , occasionally: β =0.79), negative peer behavior ( β =0.90), family member smoking ( β =0.59), criminal offenses of parents ( β =1.04), witnessing school bullying ( β =0.78), house moving ( β =0.58), using venting ( β =0.34) and the coping style of patience ( β =0.28) were positively correlated with PV among left behind children in Chaoshan area, and family support in psychological flexibility ( β =-0.31) was negatively correlated with PV ( P <0.05). A nomogram prediction model was constructed for the meaningful variables included in the multivariate analysis, and the prediction model AUC was 0.88, the accuracy was 82.00 %, the precision was 77.78%, and the F1 value was 43.75%. The calibration plot fitted well, and the model had good discrimination and calibration. Conclusion The risk prediction model for left behind middle and high school students with PV has good predictive performance and is helpful for schools and communities to early identify high risk middle and high school students with PV.

Patients with cancer-related fatigue are prone to symptoms and signs such as anorexia， weight loss， and abdominal distension， which seriously reduces the quality of life and becomes an independent risk factor affecting the survival rate of patients with malignant tumors. Therefore， it is urgent to find effective treatment strategies and drugs. In the past， the academic viewpoint of improving syndromes—a new strategy for tumor treatment was proposed based on the guidance of the Luobing theory. Based on this， this article proposes the pathogenesis of cancer-related fatigue is characterized by spleen and kidney deficiency， stasis and toxin internal obstruction， as well as the treatment method of strengthening the spleen and tonifying the kidney， resolving blood stasis and detoxification guided by the core theory of the Qiluo doctrine of Chengzhi Tiaoping. The representative drug Yangzheng Xiaoji capsules has been developed， not only has good therapeutic effect on solid tumors， but also shows good advantages in treating cancer-related fatigue， which can help to restore the homeostasis of tumor bearing survival in patients with malignant tumors and provide new drug choices for the clinical treatment of cancer-related fatigue.