Objective: To explore the current status and influencing factors of eating behaviors in adolescents, so as to provide a theoretical foundation for health promotion education among adolescents. Methods: Based on the database from Survey of Chinese Family Health Index (2021), by a random number table method, 1 065 teenagers were selected from the provincial capitals of 22 provinces and 5 autonomous regions in China, as well as 4 municipalities directly under the central government. A general characteristic questionnaire, Patient Health Questionnaire-9 (PHQ-9), Short Form of the Family Health Scale (FHS-SF), 10-item Short Version of the Big Five Personality(BFP-10), Content-based Media Exposure Scale (CM-E) and Sakata Eating Behavior Scale Short Form(EBS-SF) were used to collect information. Multivariate stepwise linear regression analysis was employed to identify and analyze related factors of eating behaviors among adolescents. Receiver operating characteristic was used to validate the predictive ability of the EBS-SF score for overweight and obesity among adolescents. Results: The average scores of BFI-10,C-ME, FHS-SF, PHQ-9 and EBS-SF were (33.08±4.64)(19.20±4.55)(38.48±6.65)(6.09±5.63)(16.75±4.36), respectively. Multivariate linear regression showed that family type (other types), agreeableness, conscientiousness, family health and depression were the main related factors of EBS-SF scores among adolescents( B =2.61,-0.42,0.20,-0.11,0.23, P <0.05).The analysis of receiver operating characteristic curve showed that the EBS-SF scores had a good ability in predicting obesity among male adolescents ( AUC= 0.73, P <0.01). Conclusions Family type, big five personality, family health,depression are the related factors of eating behaviors among adolescents. EBS-SF scores are predictive of obesity in adolescents, which would provide a new perspective for promoting healthy eating habits among adolescents.

The study explores the traditional Chinese medicine （TCM） diagnostic and treatment approach to coronary microvascular disease （CMVD） from the perspective of "disharmony of blood collaterals and dysfunction of qi transformation". It is proposed that the core pathogenesis of CMVD lies in these two mechanisms. From an integrative medicine perspective， different CMVD types are analyzed based on their specific pathogenesis. Through clinical practice， four targeted treatment methods， i.e. warming， unblocking， tonifying， and activating， are formulated. CMVD caused by atherosclerosis is primarily associated with myocardial ischemia， myocardial infarction， and coronary revascularization， with corresponding pathological mechanisms of latent pathogenic obstruction， toxic accumulation in the collaterals， and deficiency with collateral stasis. The disease progression exhibits characteristics of correlation， staging， and transformation. Accordingly， treatment principles include warming to assist qi transformation， unblocking obstruction and dispelling turbidity， activating to disperse toxic stasis and invigorate collaterals， and tonifying to eliminate stasis and nourish collaterals. For CMVD unrelated to atherosclerosis， attention should be paid to the underlying disease， analyzing the main syndromes of blood and collateral disharmony. An approach combining disease-syndrome differentiation with blood and collateral regulation is emphasized for precise treatment.

Objective: To explore the network structure of eating behaviors with anxiety, depression and perceived stress in adolescents, so as to provide a basis for effective prevention and intervention of eating behavior problems and negative emotions in adolescents. Methods: Based on the Psychology and Behavior Investigation of Chinese Residents (2021) database, the study was conducted among 3 087 adolescents. Sakata Eating Behavior Scale Short From(EBS-SF) was used to investigate their eating behaviors. The Patient Health Questionnaire-9(PHQ-9), Generalized Anxiety Disorder Scale-7 Item(GAD-7), and Perceived Stress Questionnaire-3 Item (PSQ-3) were used to evaluate their depression, anxiety and perceived stress. Network analysis method was applied to construct a network of eating behaviors and negative emotional symptoms among adolescents, so as to evaluate the centrality, bridge strength, stability and accuracy of each item. Results: The total scores of eating behaviors, depression,anxiety and stress perception in adolescents were 17.41±4.53,6.95±6.08,4.86±5.03,9.34±3.80,respectively. The symptom with the highest intensity and expected impact was "I am only satisfied when I buy more food than I need", with a node intensity and expected impact value of 4.37. The nodes Depression and Anxiety were the most closely connected(weight=0.87). There were no statistically significant differences in the network structure( M =0.13,0.11) and network connection strength(female and male:4.16,4.06, s =0.10;urban and rural areas:4.08,4.07, s =0.01) between different sexes and residents ( P >0.05). Conclusion The negative impact of comorbidities such as anxiety, depression, perceived stress and eating behaviors among adolescents can be reduced through targeted prevention and intervention of core symptoms and bridging symptoms.

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

Anxiety disorder is a major symptom of autism spectrum disorder (ASD) with a comorbidity rate of ~40%. However, the neural mechanisms of the emergence of anxiety in ASD remain unclear. In our study, we found that hyperactivity of basolateral amygdala (BLA) pyramidal neurons (PNs) in Shank3 InsG3680 knock-in (InsG3680^+/+) mice is involved in the development of anxiety. Electrophysiological results also showed increased excitatory input and decreased inhibitory input in BLA PNs. Chemogenetic inhibition of the excitability of PNs in the BLA rescued the anxiety phenotype of InsG3680^+/+ mice. Further study found that the diminished control of the BLA by medial prefrontal cortex (mPFC) and optogenetic activation of the mPFC-BLA pathway also had a rescue effect, which increased the feedforward inhibition of the BLA. Taken together, our results suggest that hyperactivity of the BLA and alteration of the mPFC-BLA circuitry are involved in anxiety in InsG3680^+/+ mice.
Animals ; Prefrontal Cortex/metabolism* ; Basolateral Nuclear Complex/metabolism* ; Mice ; Anxiety/metabolism* ; Nerve Tissue Proteins/genetics* ; Male ; Gene Knock-In Techniques ; Pyramidal Cells/physiology* ; Mice, Transgenic ; Neural Pathways/physiopathology* ; Mice, Inbred C57BL ; Microfilament Proteins

Based on the clinical thinking of combining diseases and patterns， we combined disease identification， pattern differentiation， and constitution identification， and put forward the theory of identifying and treating critical hypertension， which is "examining the symptoms first， identifying the constitutions as reference， and combining the diseases and patterns". Firstly， the starting point of identifying the disease is to examine the symptoms， and those with precise diagnosis and strong specificity will be diagnosed with the disease， while those with relatively broad diagnosis and fuzzy characteristics will be emphasised on identifying constitutions and differentiating patterns. Focusing on the impact of constitution identification on disease identification and pattern differentiation， constitution identification could be the basis when no symptoms to identify， and based on the theory of "constitution-disease correlation" and "constitution-pattern correlation" to improve the understanding of borderline hypertension from the group and individual level， which helps to identify and predict the development of the diseases and patterns； if the symptoms are complicated and difficult to identify， it is necessary to take syndrome as the outline， use the syndrome to unify the disease， and then refer to the constitution to legislate and prescribe medications. This paper summarizes the traditional Chinese medicine clinical differentiation and treatment strategy of borderline hypertension clear and easy to grasp， with a view to provide a feasible and efficient reference for prevention and treatment of borderline hypertension with traditional Chinese medicine.

Although there are continuous progresses in economy and society, the accelerated aging process has brought widespread impacts on various aspects of society and economy in China, especially on the supply of the working-age population. Effectively addressing labor force aging has become an urgent challenge for China's economic and social development. North American countries, particularly the United States and Canada, are also facing severe aging population issues, and have entered an aging society earlier than China. These countries have alleviated labor supply shortages through proactive immigration policies, while implementing flexible retirement, reemployment of elderly individuals, and vocational training policies to effectively encourage elderly workers to remain in their jobs. Additionally, the occupational health programs of large enterprises in North America have yielded positive returns on their health investments. Building upon an overview of the current situation and corresponding measures in response to the aging working-age population in North America, this paper presented constructive recommendations to address the aging population issue in China.

Objective To establish a method for the simultaneous determination of DOX·HCl and LND. Methods HPLC was performed on Agilent 5 HC-C₁₈（2） （4.6 mm × 250 mm, 5 µm） column. The mobile phase was methanol-0.1% TFA aqueous solution, and the gradient elution procedure were: 0 to 3 min, 65% methanol; 3 to 7 min, 65%→90% methanol; 7 to 13 min, 90% methanol; 13 to 15 min, 90%→65% methanol; 15 to 20 min, 65% methanol. The collection time was 20 min, the balance time was 3 min, the UV detection wavelengths were 205 nm and 253 nm. The flow rate was 1.0 ml/min and the column temperature was 35℃. The amount of inlet was 10 µl. Results The method was highly specific, and both DOX·HCl and LND exhibited good linearity in the concentration range of 1-40 µg/ml and 6-240 µg/ml, respectively. The two compounds’ precision, stability, and recovery satisfied the requirements of the method. Conclusion This study established a HPLC method that was suitable for the simultaneous detection of DOX·HCl and LND. This method’s high level of specificity, accuracy, and reliability .

The liver plays an important regulatory role in maintaining the dynamic balance of coagulation and anticoagulation in the body. Such dynamic balance is fragile in patients with liver cirrhosis， and the risk of bleeding can be increased due to reductions in coagulation factors and platelet count and excessive fibrinolysis； meanwhile， thrombus can be formed due to the increases in von Willebrand factor and coagulation factor Ⅷ， the reductions in anticoagulant protein C and anticoagulant protein S， the increase in thrombin-generating potential， and alterations in antifibrinolytic components. This article reviews the mechanisms of coagulation disorder in liver cirrhosis， so as to help clinicians with the prevention and treatment of bleeding or thrombotic disorders in patients with liver cirrhosis.

Objective To construct methoxy polyethylene glycol (mPEG) modified gold nanoparticles (AuNPs) loaded with doxorubicin (DOX) AuNPs-mPEG@DOX in order to reduce the toxicity and side effects of DOX. Methods AuNPs-mPEG@DOX was prepared and characterized by Z-Average, Zeta potential and UV-Vis spectroscopy. The impact of thiol-linked DOX (HS-DOX) at various dosage concentrations on the drug adsorption rate and drug loading of AuNPs-mPEG@DOX was investigated. Furthermore, a HPLC method was developed to accurately determine the content of unadsorbed HS-DOX in AuNPs-mPEG@DOX. The specificity, linearity, precision, stability and average recovery of this method were thoroughly investigated. The cytotoxic effect of AuNPs-mPEG@DOX on MCF-10A and MCF-7 cells was evaluated using a CCK-8 assay. Results AuNPs-mPEG@DOX was successfully prepared with Z-Average of (46.12±0.49) nm, Zeta potential of (18.60±1.51) nm and the maximum absorption wavelength of 530 nm. An efficient HPLC method for the detection of unadsorbed HS-DOX in AuNPs-mPEG@DOX was devised. The optimal dosage concentration of HS-DOX for AuNPs-mPEG@DOX was determined to be 11.18 μg/ml, resulting in a drug adsorption rate of (9.21±2.88)% and a drug loading rate of (2.01±0.62)%. Cytotoxicity experiments demonstrated that AuNPs-mPEG@DOX significantly reduced the toxic and side effects of DOX on normal breast cells. Additionally, AuNPs-mPEG@DOX and free DOX exhibited comparable cytotoxic effects on breast tumor cells when DOX concentration was equal to or greater than 4.75 μmol/L. Conclusion AuNPs-mPEG@DOX effectively reduce the toxicity of DOX, providing a reference for future research on reducing the toxicity of AuNPs-linked drugs.