To thoroughly implement the strategic deployment outlined in the Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance and Innovative Development of Traditional Chinese Medicine regarding research on dominant diseases of traditional Chinese medicine and to uphold the development philosophy of equal emphasis on traditional Chinese medicine and western medicine，the China Association of Chinese Medicine has fully played a leading academic role by systematically organizing and conducting a series of academic youth salons on clinical dominant diseases of traditional Chinese medicine. On September 13，2024，the 36^th Youth Salon on Clinical Dominant Diseases was successfully held in Nanjing，focusing on the advantages of traditional Chinese medicine and the integrative traditional Chinese medicine and western medicine in the diagnosis and treatment of erectile dysfunction （ED）. The conference brought together leading experts from traditional Chinese medicine，western medicine，and interdisciplinary fields，facilitating in-depth multidisciplinary discussions that led to key consensus on optimizing traditional Chinese medicine treatment protocols for ED，researching and developing new drugs of traditional Chinese medicine，and advancing interdisciplinary development in traditional Chinese medicine. This salon systematically sorted out the clinical strengths and distinctive features of traditional Chinese medicine in the diagnosis and treatment of ED. Based on current research foundations and clinical needs，it identified key directions for future scientific layout and scientific research tackling： （1） Standardization of syndrome differentiation system of traditional Chinese medicine for ED. （2） Optimization and standardization of intervention methods of integrated traditional Chinese medicine and western medicine. （3） High-quality clinical research guided by evidence-based medicine. （4） In-depth analysis of the pharmacological mechanisms of traditional Chinese medicine in the treatment of ED. （5） Clinical translation and application promotion of new drugs of traditional Chinese medicine. （6） Interdisciplinary integration and innovation in traditional Chinese medicine. For each research direction，key focus areas，expected objectives，and clinical value were further refined，along with the establishment of a scientifically sound priority funding level evaluation system. Therefore，building on the series of salons on the ED-focused dominant diseases of traditional Chinese medicine，this paper provides standardized guidance for clinical practice of traditional Chinese medicine in ED management，effectively contributing to the high-quality development of traditional Chinese medicine. It serves as a valuable reference for national scientific and technological strategic layout， research and development decision-making in new drugs of traditional Chinese medicine，research topic planning，and clinical guideline formulation.

AIM: To investigate the association between dyslipidemia and macular hard exudates(HEs)in non-proliferative diabetic retinopathy(NPDR)secondary to type 2 diabetes mellitus(T2DM).METHODS: NPDR patients attending the outpatient ophthalmology clinic from January 2021 to December 2023 were selected and divided into three groups according to the severity of macular HEs. Group A: None or minimal HEs; Group B: Definite HEs; Group C: Prominent HEs. Total cholesterol(TC), triglycerides(TG), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), lipoprotein(a)[Lp(a)] levels and other lipid-related indicators were routinely measured. The correlation between these indicators and HEs was analyzed.RESULTS:Group A(24 eyes)consisted of 9 males and 15 females with the mean age of 54.71±6.15 y, group B(52 eyes)consisted of 20 males and 32 females with the mean age of 55.08±6.27 y, group C(14 eyes)consisted of 9 males and 5 females with the mean age of 53.93±6.08 y. The concentration of TC, TG, LDL-C and Lp(a)was highest in group C, followed by group B and lowest in group A with statistically significant differences(P<0.001). There were no statistically significant differences between the three groups for fasting plasma glucose(FPG), glycated hemoglobin A1c(HbA1c), creatinine(Cr), and HDL-C(P>0.05). The results of multivariate Logistic regression analysis showed that elevated levels of TC, TG, LDL-C, and Lp(a)were associated with the presence of macular HEs. Receiver operating characteristiccurve analysis showed that the area under the curve(AUC)for TC, TG, LDL-C, Lp(a), and their combination in predicting macular HEs in NPDR were 0.785, 0.718, 0.784, 0.742, and 0.911, respectively, with the combined model demonstrating the highest predictive performance.CONCLUSION: Dyslipidemia is closely associated with the development and progression of macular HEs in patients with NPDR and T2DM. The levels of TC, TG, LDL-C, and Lp(a)were correlated with the severity of macular HEs, suggesting that dyslipidemia may be involved in the pathological process of macular HEs formation.

Drawing on recent advances in modern fascial anatomy and biomechanics， this paper interprets the biomechanical implications of yin-yang balance at the physical level from the perspective of holistic force lines. It posits that holistic force lines represent the functional expression of mechanical load transmission and integration within the myofascial network； the channel sinews system and myofascial chains exhibit significant similarities in terms of their distribution， functional attributes， and principles of holistic regulation， and can thus be understood as structural-functional carriers of yin-yang balance. Accordingly， this paper provides a biomechanical interpretation of the yin-yang relationship from four aspects， including interdependence， mutual restriction， dynamic balance through waxing and waning， and mutual transformation， proposing that in a healthy state， the body relies on the continuous integration， distribution， and readjustment of the myofascial tension network to maintain overall coordination， whereas disease states are often associated with compensatory transmission of local tension abnormalities along holistic force lines， the accumulation of imbalances， and structural rigidity. The holistic force-line perspective provides a biomechanical explanatory framework for the theory of yin-yang balance and offers a new theoretical basis for clinical diagnosis and treatment to shift from empirical holistic balancing toward holistic force-line balancing based on posture， function， and tension transmission pathways.

BACKGROUND:Stroboscopic visual training can force sensory reweighting to restore the original weights by increasing sensitivity to proprioceptive information,which may be an effective method to improve proprioception. OBJECTIVE:To determine the effects of balance training in three conditions,low frequency,high frequency and normal vision,on ankle proprioception in patients with chronic ankle instability. METHODS:Thirty-six patients with chronic ankle instability recruited from the students of Southwest Medical University were randomly assigned to a low-frequency vision training group,a high-frequency vision training group,and a normal vision training group,with 12 subjects in each group.Subjects in the three groups underwent progressive hop stabilization and balance training,in which the low-frequency vision training group and the high-frequency vision training group wore stroboscopic spectacles during the training,with a stroboscopic frequency of 1.75 and 5 Hz,respectively.The training in each group was performed three times a week for 4 consecutive weeks.Assessments,including ankle proprioception,ankle stability self-assessment and dynamic postural stability,were performed before training and within 1 week after the completion of training. RESULTS AND CONCLUSION:There was a significant main effect of time factor in ankle proprioception(P<0.05).Compared with the pre-training period,subjects in the low-frequency vision training group and the high-frequency vision training group showed significant improvement in ankle proprioception after 4 weeks of training(P<0.05);and subjects in the low-frequency vision training group showed a significant improvement in ankle proprioception compared with that of the normal vision training group after 4 weeks of training(P<0.05).There were significant main effects of time factor and group×time interaction in ankle proprioception(P<0.05).Compared with the pre-training period,the ankle stability self-assessment in all three groups was improved after 4 weeks of training(P<0.05).And the ankle stability self-assessment in high-frequency visual training group was higher than that in normal vision training group after 4 weeks of training(P<0.05).Compared with the pre-training period,subjects in the low-frequency vision training group and the high-frequency vision training group showed significant improvements in forward dynamic postural stability,posteromedial dynamic postural stability,and posterolateral dynamic postural stability after 4 weeks of training(P<0.05),while in the normal vision training group,forward dynamic postural stability and posterolateral dynamic postural stability were significantly improved after 4 weeks of training(P≤0.05).To conclude,balance training under stroboscopic visual conditioning improves proprioception,ankle stability self-assessment,and dynamic postural stability in patients with chronic ankle instability regardless of frequency.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective:To develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.

Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.

Objective To compare the quality of liquids dispensed by intelligent dispensing robot and traditional manual in PIVAS,to ensure the safety of clinical infusion.Methods Using omeprazole and ambroxol as the main drugs and 5％glucose injection and 0.9％sodium chloride solution as the solvent,a number of quality indexes including drug residues and the number of insoluble particles were evaluated in the two modes of manual and robotic dispensing,respectively.Results Under the robot dispensing mode and manual dispensing mode,the residual amount of drugs was less than 5％,the insoluble particles were far less than the limit,the pH value was in line with the human infusion range,and the endotoxin and aseptic culture were negative results,with no statistical significance(P＞0.05).Conclusions The quality of liquid dispensed under the robotic dispensing mode is guaranteed,and there is no significant difference in the quality of liquid dispensed with the traditional manual dispensing mode,which provides a reliable guarantee for the large-scale application of robotic dispensing in intravenous admixture service.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To screen genetic susceptibility markers related to serum HBeAg seroconversion by analyzing the association between host genetic susceptibility markers and seroconversion in HBeAg-positive patients with chronic hepatitis B (CHB), thereby providing potential molecular markers for clinical outcomes and prognosis evaluation in HBeAg-positive patients with CHB. Methods HBeAg-positive patients with CHB were recruited from the outpatient department of the Infectious Department, Second Affiliated Hospital of Air Force Military Medical University to establish a follow-up cohort. Based on whether HBeAg seroconversion occurred during follow-up, the subjects were divided into a case group (serum HBeAg with seroconversion) and a control group (serum HBeAg without seroconversion). MassARRAY SNP genotyping technique was used to detect SNPs of human genome DNA extracted from whole blood of the study subjects. Results　Through association analysis between genetic susceptibility marker SNPs and seroconversion of serum HBeAg, it was found that: At the rs101206　8 locus, under the overdominant model, patients carrying the heterozygous GT genotype had a higher likelihood of serum HBeAg seroconversion (OR=1.73, 95%CI: 1.15-2.59, P=0.008); at the rs352140 locus, under the recessive model, patients carrying the TT genotype had a higher likelihood of serum HBeAg seroconversion (OR=1.77, 95%CI: 1.06-2.94, P=0.029); the rs1946518 locus, under the overdominant model, patients carrying the heterozygous GT genotype had a higher likelihood of serum HBeAg seroconversion (OR=1.73, 95%CI: 1.14-2.61, P=0.009); at the rs2306494 locus, under the dominant model, carrying the A allele (GA+AA) was identified as a negative factor for serum HBeAg seroconversion (OR=0.65, 95%CI: 0.42-0.99, P=0.043); at the rs20541 locus, under the recessive model, carrying the AA genotype was identified as a negative factor for serum HBeAg seroconversion (OR=0.31, 95%CI: 0.10-0.92, P=0.019); at the rs1057035 locus, under the dominant model, patients carrying the C allele (CT+CC) had a higher likelihood of serum HBeAg seroconversion (OR=1.78, 95%CI: 1.05-3.03, P=0.034). Therefore, the GT genotype at rs1012068 of DEPDC5 gene, TT genotype at rs352140 of TLR9 gene, GT genotype at rs1946518 of IL18 gene, and GG genotype at rs2306494 of TERF1 gene were conducive to seroconversion of serum HBeAg. The AA genotype at rs20541 of IL-13 gene and the TT genotype at rs1057035 of DICER1 gene were not conducive to seroconversion of serum HBeAg. Conclusion　The genetic susceptibility markers (single nucleotide polymorphism loci) of host genetic genes in HBeAg-positive patients with CHB are associated with seroconversion of serum HBeAg, and the mechanisms by which these SNPs participate in serum HBeAg seroconversion require further investigation.