The "integrated time-space" perspective of life in traditional Chinese medicine holds that structure and function respectively belong to the realms of space and time. The orderly integration of time and space not only supports the existence and development of life， but also serves as the foundation for biological evolution. Based on this standpoint， this paper proposes the spatiotemporal structural theory of visceral manifestation， characterized by the fusion of time and space， the integration of internal and external dimensions， and the absence of primary or secondary distinctions. Using the individual human body as the boundary， it delineates the man and nature spatiotemporal structure， based on the theory of the "correspondence between man and nature"， and the internal spatiotemporal structure of the living body. The man and nature spatiotemporal structure， with yin-yang and the five phases as its core， reveals the correspondence and connectivity between the external environment and the internal zang-fu organs within the spatiotemporal dimension. The internal temporal structure of the body refers to the collective physiological rhythms related to the zang-fu organs， while the spatial structure refers to the tangible forms， spatial positions， and connective structures of the zang-fu organs. The proposal of the spatiotemporal structural theory of visceral manifestation represents a rational reconstruction and practical exploration of the essential connotations of visceral manifestation， aiming to provide new perspectives for subsequent theoretical research and clinical applications.

Objective: To explore the correlation between traditional Chinese medicine (TCM) constitution and depressive symptom among school aged children and adolescents, so as to provide evidences for informing constitution based regulation and prevention of depressive symptom. Methods: From June to December 2024, a total of 4 729 students aged 6-14 were recruited by cluster random sampling from 10 primary schools in Baoding (Hebei Province), Heze and Liaocheng (Shandong Province). General information, TCM constitution and depressive symptom were collected. Restricted cubic spline (RCS) models were used to analyze related factors and threshold effects of depressive symptom. Binary Logistic regression was applied to examine the association between depressive symptom and TCM constitution, with subgroup analyses conducted. Results: The detection rate of depressive symptom among the included children and adolescents was 25.82%. RCS analyses indicated non linear associations between depressive symptom and age (inflection point at 10 years old), bedtime (inflection point at 22:00), and wake up time (inflection point at 6:30 ) (all P non linearity <0.01). Linear associations were observed with body mass index (BMI) and sleep duration (all P non linearity > 0.05 ). After adjusting for covariates such as age, BMI and sleep status, binary Logistic regression analyses showed that Yin deficient constitution ( OR =1.26, 95% CI =1.09-1.45) and Phlegm-dampness constitution ( OR =1.42, 95% CI =1.11-1.82) were significantly associated with depressive symptom among children and adolescents (all P <0.05). Conclusions Depressive symptom among school aged children and adolescents is primarily associated with Yin deficiency and Phlegm dampness constitutions in TCM constitution. Active attention should be paid to susceptible TCM constitution among children and adolescents. Targeted health guidance and interventions should be implemented to improve TCM constitution health status for preventing the occurrence of depressive symptom.

Objective To observe the value of augmented reality(AR)navigation system for assisting CT-guided puncture of pulmonary nodules in dog models.Methods Five healthy dogs were selected,and 4 target lung rings were implanted in each dog to build pulmonary nodule models.Deferring to crossover design,CT-guided punctures were performed with or without AR navigation 2 and 4 weeks after successful modeling,respectively,while punctures with AR navigation were regarded as AR group and the others as conventional group,respectively.The time duration of puncturing,the times of CT scanning,of needle adjustment,and the deviation distance between needle pinpoint to the center of pulmonary nodule shown on three-dimensional reconstruction were compared between groups.Results The duration time of puncture in AR group and conventional group was(13.62±5.11)min and(20.16±4.76)min,respectively.In AR group,the times of CT scanning,of needle adjustment,and the deviation distance was 2.40±0.50,2.75±0.44 and(2.94±1.92)mm,respectively,while in conventional group was 3.10±0.64,3.70±0.57 and(4.90±3.38)mm,respectively.The introduction of AR navigation was helpful to shortening the duration of puncture,reducing times of CT scanning and needle adjustment,also decreasing positioning error of needle pinpoint(all P＜0.05).In contrast,the variance of puncture sequences and dogs had no obvious effect on the results(both P＞0.05).Conclusion AR navigation system could improve accuracy and efficiency in CT-guided puncture of pulmonary nodules in dog models.

PD is a neurodegenerative disease characterized by degenerative death of dopaminergic neurons in the substantia nigra,exhibiting a range of motor and non-motor symptoms with serious effects on quality of life.circRNA is a covalently closed-loop non-coding RNA that plays a major role in PD progression.This article reviews the involvement of circRNA in oxidative stress,regulation of transcription,neuroinflammation,autophagy,and α-synuclein.

Parkinson's disease(PD)is a common neurodegenerative disease with a complex pathogenesis,and a large number of studies have shown that mitochondrial dysfunction is an important causative factor for PD,whereas dysregulation of mitochondrial quality control is a key factor leading to mitochondrial dysfunction,and that aberrant mitochondrial biogenesis,fusion/fission imbalance,and mitochondrial hyperautophagy are closely associated with the onset of PD,but the role of the mitochondrial quality control system in the progression of PD is unclear.Therefore,this paper reviews the mechanism of mitochondrial quality control system in PD,with the aim of providing new ideas and theoretical basis for the clinical prevention and treatment of PD.

Objective To explore the image quality improvement of portal vein computed tomography venography(CTV)using CE-Boost technique with low dose and low contrast media usage.Methods A total of 50 patients with suspected portal vein disorders who underwent abdominal non-contrast and biphasic contrast-enhanced CT scans using the Canon 320-row CT machine were retrospectively selected.Images of portal venous phase(PVP)were postprocessed with CE-Boost technique.The CT values of each area,standard deviation(SD)values of the paraspinal muscles,volume CT dose index(CTDIvol),and dose length product(DLP)before and after CE-Boost were measured and recorded.The signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR),effective dose(ED)of each blood vessel before and after CE-Boost were calculated.Subjective image quality was analyzed by two senior radiologists using a five-point scale in a double-blinded method.Statistical analysis was performed using paired t-test and Wilcoxon test.Results The CT values of each area with CE-Boost images were significantly higher than those without CE-Boost images(P＜0.001).SNR and CNR of each blood vessel with CE-Boost images were significantly higher than those without CE-Boost images(P＜0.001).The subjective scores of both images were above 3 points,which met the requirements of clinical diagnosis with good consistency(Kappa=0.772,0.697).The median subjective scores of images with CE-Boost were 5(5,5),which were significantly higher than those without CE-Boost images 5(5,4),(P=0.002).CTDIvol,DLP and ED were(1.85±1.12)mGy,(94.66±44.68)mGy·cm and(1.42±0.67)mSv,respectively.Conclusion CE-Boost technique can significantly improve the image quality of portal vein CTV with low dose and low contrast media usage.

Objective To investigate a novel stroke recurrence risk prediction model,which utilized radiomics machine learning methods and specifically combined carotid computed tomography angiography(CT A)with the Essen stroke risk score(ESRS).Methods A total of 136 patients who underwent carotid CT A were analyzed retrospectively.The features of carotid plaque were extrac-ted by machine learning to construct a radiomics feature model,as well as combined with ESRS.Based on clinical outcomes at one-year follow-up,the stroke recurrence risk prediction model was constructed using the logistic regression(LR)machine learning model.To construct an effective and robust model,the dataset was divided into a training set and a validation set in a ratio of 7∶3.The performance of this model was evaluated using area under the curve(AUC)of receiver operating characteristic(ROC)curve,sensi-tivity and specificity.Results The model had strong predictive value.In the training set,AUC,sensitivity and specificity of this model were 0.903,0.796 and 0.761,respectively.In the validation set,AUC,sensitivity and specificity of this model were 0.869,0.667 and 0.850,respectively.Conclusion The stroke recurrence risk prediction model constructed based on radiomics analysis of carotid plaque characteristics in carotid CTA,in combination with the ESRS,can provide reliable predictions for stroke prognosis.

H 1-antihistamines are widely used in the treatment of various allergic diseases, but there are still many challenges in the safe and rational use of H 1-antihistamines in pediatrics, and there is a lack of guidance on the prescription review of H 1-antihistamines for children.In this paper, suggestions are put forward from the indications, dosage, route of administration, pathophysiological characteristics of children with individual difference and drug interactions, so as to provide reference for clinicians and pharmacists.

ObjectiveTo find the different metabolites of Schisandrae Chinensis Fructus fresh fruits dried in different ways by proton nuclear magnetic resonance （¹H-NMR） metabonomics technology， and to explore the possible effect of green removing on its metabolic profile. MethodFifteen samples of Schisandrae Chinensis Fructus fresh fruits were used， and each 3 samples was divided into one group. The samples were processed by five methods， including drying， drying in the sun， microwave， blanching and steaming. These samples were extracted with 50% methanol and analyzed by ¹H-NMR. Combined with multivariate statistical analysis， the differences of the metabolic profile between green removing samples and dried samples， sun-dried samples were compared. ResultA total of 27 chemical components were identified by ¹H-NMR and Chenomx database， mainly including amino acids， alkaloids， carbohydrates and organic acids. These metabolites were mainly involved in the energy metabolism of fruit postharvest physiology. The results of multivariate statistical analysis showed that there were significant differences among the 5 groups. The dried and sun-dried samples were used as the controls， 17 differential metabolites （asparagine， citric acid， glucose， sucrose， choline glycerophosphate， trigonelline， alanine， lysine， glycerol， leucine， isoleucine， valine， uridine， threonine， methionine， phenylalanine and fructose） were screened by variable importance in the projection （VIP） value and S-plot. One-way ANOVA was used for comparison between groups， the results showed that compared with dried and sun-dried samples， the contents of sucrose and choline glycerophosphate increased significantly （P<0.05， P<0.01） in samples treated with green removing， but the contents of valine， leucine， isoleucine， threonine， phenylalanine and methionine decreased significantly （P<0.01）， the content of asparagine increased significantly （P<0.05， P<0.01） in samples treated by microwave， while the contents of trigonelline and uridine decreased significantly （P<0.01） in samples treated by blanching. ConclusionThe consumption， decomposition and/or transformation of active ingredients may be inhibited by interfering with its energy metabolism after the green removing of Schisandrae Chinensis Fructus fresh fruits.

Objective:To understand the incidence of mild cognitive impairment (MCI) of elderly patients with subjective memory impairment and analyze its influencing factors.Methods:A total of 322 patients with subjective memory impairment in elderly frail cognitive management clinic in General Hospital of Chinese PLA were selected by the convenient sampling method. According to the 2018 Diagnostic Criteria for Diagnosis and Treatment of Dementia and Cognitive Impairment in China, the subjects were divided into the MCI group and the non-MCI group. Demographic data, physiological factors, psychological factors, lifestyle and nutritional status of patients were collected using self-designed questionnaires. The Barthel Index Rating Scale was used to assess activity of daily living, 9-item Patient Health Questionnaire (PHQ-9) was used to assess depression and Generalized Anxiety Disorder Questionnaire (GAD-7) was used to to assess anxiety. The Pittsburgh Sleep Quality Index was used to assess sleep disturbances and Mini Nutritional Assessment Short Form (MNA-SF) was used to assess nutritional status. Univariate analysis and multivariate binary logistic regression analysis were used to explore the influencing factors of MCI in patients. Results:Among the 322 elderly patients with subjective memory impairment, 173 (53.73%) had MCI and 149 (46.27%) were non-MCI patients. Binomial Logistic regression analysis showed that reading habits, housework, social interaction, anxiety, age, depression, and sleep disturbance were the influencing factors of MCI in the elderly with subjective memory impairment ( P<0.05) . Conclusions:The incidence of MCI in elderly patients with subjective memory impairment is relatively high. The cognitive management clinic should comprehensively evaluate and analyze the influencing factors of such patients and assist patients to establish a healthy lifestyle according to their personal conditions, so as to improve their cognitive status.