To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Objective:To assess the attitudes toward and factors influencing starting insulin use among community-based patients with type 2 diabetes (T2D).Methods:A cross- sectional study. This secondary analysis used baseline data from patients with T2D recruited through convenience sampling from a community-based peer support intervention study implemented in nine community health service centers in Shanghai since 2017. Attitudes toward insulin use were assessed using the Chinese Attitudes to Starting Insulin Questionnaire (Ch-ASIQ); the higher the score, the more negative the attitude toward starting insulin use. Multiple linear regression was used to analyze the factors influencing attitudes toward starting insulin use.Results:A total of 336 patients with T2D were included in the survey. The patients had a mean age of (67.7±7.9) years, mean disease duration of (13.62±7.73) years, relatively low levels of depression [Patient Health Questionnaire 8 (PHQ-8): 2 (0, 5)] and diabetes distress [Diabetes Distress Scale 4 (DDS-4): 1.97±0.95], and suboptimal target achieving rates of risk factors including body mass index, blood pressure, blood glucose, and lipid levels. The total score on the Ch-ASIQ among all patients was 1.84±0.55. Multivariate analyses showed that refusing insulin use was positively significantly associated with higher scores on the Ch-ASIQ and the three sub-dimensions of "Factors promoting self-efficacy," "Fear of pain or needles," and "Time and family support" [ β (95% CI): 0.515 (0.355-0.674), 0.728 (0.470-0.986), 0.273 (0.030-0.515), 0.909 (0.606-1.213), all P<0.05]. In addition, disease duration [ β (95% CI):-0.011 (-0.019 to -0.004)] was independently negatively associated with the Ch-ASIQ score. In comparison, age [ β (95% CI): 0.011 (0.003-0.018)], DDS-4 [0.129 (0.069-0.190)], and PHQ-8 [0.015 (0.000-0.029)] were independently positively associated with the Ch-ASIQ score (all P<0.05). There were slight differences in the factors influencing the four sub-dimensions of the Ch-ASIQ scale. Conclusions:Community-based patients with T2D had moderate negative attitudes toward starting insulin treatment. Refusing insulin use, shorter diabetes duration, older age, higher diabetes distress, and higher levels of depression were associated with higher negative attitudes towards starting insulin use.

Objective:To explore the potential lesional range of keloids by analyzing the transcriptomic characteristics, and to provide a molecular basis for understanding the recurrence of keloids following surgical excision.Methods:From July to December in 2022, 3 patients clinically diagnosed with keloids and treated with surgical excision at the Department of Dermatology and Venereology, Peking University First Hospital were included in the study. Samples of keloids and keloid-adjacent dermis were collected from these 3 patients, and normal dermal tissues adjacent to benign skin tumors were collected from 4 patients and served as controls. Dermal fibroblasts were obtained by primary cell culture and purification, which were then subsequently passaged to the second generation for transcriptome sequencing. Differential gene expression analysis, gene ontology (GO) -based functional analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed. While analyzing differential expression genes, those with a fold change (FC) > 2 and a P value < 0.05 were defined as upregulated genes, whereas those with a FC < 0.5 and a P value < 0.05 were considered downregulated genes. The accuracy of the results was further validated by comparing them with published single-cell sequencing data on keloid and keloid-adjacent tissues (HRA000425 in GSA database) and single-cell sequencing data on the normal dermis (GSE130973 in GEO database). Key genes in keloid-adjacent dermal fibroblasts were validated in tissue samples from this study and the literature. Results:Compared with keloid-derived fibroblasts, keloid-adjacent and control dermal fibroblasts shared 63 upregulated genes enriched in biological processes including lipid transport ( P = 0.038) and ion transport ( P = 0.040) ; compared with control dermal fibroblasts, keloid-adjacent and keloid-derived fibroblasts shared 56 upregulated genes enriched in the transforming growth factor β signaling pathway ( P < 0.001), etc. When comparing keloid-derived fibroblasts and keloid-adjacent fibroblasts with control dermal fibroblasts, 79 genes were uniquely upregulated only in keloid-adjacent fibroblasts; after filtering based on gene expression thresholds and consistency, 13 candidate genes (average expression level > 1 000 and variance of expression level within groups < 30 000) closely related to the transcriptomic characteristics of keloid-derived fibroblasts were identified, including genes inhibiting keloid formation such as SMAD6 and SMAD7, as well as those promoting keloid formation such as MSX1, SNAI1, and EDN1, which were enriched in the biological processes such as cell growth, ossification and cartilage development (all P < 0.01). The enrichment analysis of the above-mentioned 13 genes on the ChEA3 website identified some enriched transcription factors, such as myogenic differentiation protein 1 (MYOD1) and myogenin (MYOG) (both P < 0.05) . Conclusions:Compared with keloid-derived fibroblasts and control dermal fibroblasts, the transcriptomics of keloid-adjacent fibroblasts were characterized by high-level coexpression of genes involved in both the inhibition and promotion of keloid formation, which may provide a molecular explanation for the similarity in morphology between keloid-adjacent tissues and normal skin tissues as well as for the potential mechanisms underlying the high recurrence rate of keloids.

Objective To explore and identify the nutritional/inflammatory indicator with the highest predictive potential for overall survival(OS)in postoperative tumor patients so as to provide guidance for postoperative rehabilitation of tumor patients.Methods Data from 3 191 surgical patients were collected,including 15 nutritional/inflammatory indicators.The maximum selection rank statistic method was used to calculate the optimal cut-off values for continuous indicators.The Kaplan-Meier method was used to assess OS,and Cox proportional hazards models were used to analyze the association between the aforementioned 15 indicators and survival.The predictive value of these 15 indicators was evaluated with receiver operating characteristic(ROC)curves and C-index.Results Multivariate analysis showed that all 15 indicators were significantly associated with poorer OS in surgical patients(P＜0.05 for all).Time-dependent area under the curve(AUC)and C-index analysis indicated that 3 indicators with the highest predictive potential in OS in postoperative tumor patients were the nutritional risk index(NRI)(C-index:0.597),C-reactive protein-to-albumin ratio(CAR)(C-index:0.587),and C-reactive protein-to-lymphocyte ratio(CLR)(C-index:0.587).The optimal cut-off value for NRI was determined to be 104.31(i.e.,NRI＜104.31 suggests malnutrition)with the maximum selection rank statistic method,the optimal cut-off value for CAR to be 0.05(i.e.,CAR≥0.05 suggests a strong inflammatory response,often accompanied by malnutrition),and the optimal cut-off value for CLR to be 1.18(i.e.,CLR≥1.18 suggests a strong inflammatory response).Subgroup analysis indicated that NRI,CAR,and CLR had good correlation with tumor staging,and there were significant differences between tumor node metastasis(TNM)Ⅲ/Ⅳ stage patients and TNM Ⅰ/Ⅱ stage patients when there was a strong inflammatory response or malnutrition.Conclusion In postoperative tumor patients,NRI,CLR,and CAR have high prognostic value.Combining these with the patient's clinical stage,it enables more precise guidance for clinical diagnosis and treatment strategies.

Objective:To analyze the characteristics of patients with pneumoconiosis complicated with chronic obstructive pulmonary disease (COPD), and to explore the comorbidity of pneumoconiosis and COPD and its influencing factors.Methods:From October to December 2022, 255 pneumoconiosis patients admitted to an occupational disease prevention and control hospital from January 2018 to December 2021 were selected as the study subjects. According to whether the pneumoconiosis patients were complicated with COPD or not, they were divided into pneumoconiosis and COPD comorbidity group and pneumoconiosis group. The general condition and dust exposure of the two groups of patients were analyzed, and the relationship between different types and different periods of pneumoconiosis and COPD comorbidity was analyzed by multivariate logistic regression.Results:A total of 255 subjects were collected, including 64 patients with comorbidity of pneumoconiosis and COPD, and the comorbidity rate was 25.1%. There were 186 males (72.9%) and 69 females (27.1%), ranging in age from 35 to 90 (63.79±11.79) years, and working age from 1 to 45 (20.31±10.57) years. The comorbidity of pneumoconiosis and COPD increased with the increase of working age (χ 2trend=8.19, P=0.004), and the comorbidity rate for COPD with working age of more than 30 years was 37.7% (23/61). The comorbidity rate of pneumoconiosis and COPD also increased with the increase of the stage of pneumoconiosis (χ 2trend=13.14, P<0.001), and the comorbidity rate of pneumoconiosis and COPD in the stage Ⅲ was as high as 44.0% (11/25). The cumulative dust exposure was negatively correlated with forced expiratory volume in one second/forced vital capacity (FEV 1/FVC), and the linear regression equation y=-0.04 x+78.4. Multivariate logistic regression analysis showed that the length of services ≥30 years ( OR=3.30, 95% CI: 1.15-9.52) and stageⅡ ( OR=3.05, 95% CI: 1.03-9.04) were the risk factors for comorbidity between pneumoconiosis and COPD ( P<0.05) . Conclusion:The comorbidity rate of pneumoconiosis and COPD is high. Working age, pneumoconiosis stage and cumulative dust exposure are the main influencing factors of pneumoconiosis and COPD comorbidity, so more attention should be paid to the comorbidity of pneumoconiosis and COPD.

Objective:To explore the potential lesional range of keloids by analyzing the transcriptomic characteristics, and to provide a molecular basis for understanding the recurrence of keloids following surgical excision.Methods:From July to December in 2022, 3 patients clinically diagnosed with keloids and treated with surgical excision at the Department of Dermatology and Venereology, Peking University First Hospital were included in the study. Samples of keloids and keloid-adjacent dermis were collected from these 3 patients, and normal dermal tissues adjacent to benign skin tumors were collected from 4 patients and served as controls. Dermal fibroblasts were obtained by primary cell culture and purification, which were then subsequently passaged to the second generation for transcriptome sequencing. Differential gene expression analysis, gene ontology (GO) -based functional analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed. While analyzing differential expression genes, those with a fold change (FC) > 2 and a P value < 0.05 were defined as upregulated genes, whereas those with a FC < 0.5 and a P value < 0.05 were considered downregulated genes. The accuracy of the results was further validated by comparing them with published single-cell sequencing data on keloid and keloid-adjacent tissues (HRA000425 in GSA database) and single-cell sequencing data on the normal dermis (GSE130973 in GEO database). Key genes in keloid-adjacent dermal fibroblasts were validated in tissue samples from this study and the literature. Results:Compared with keloid-derived fibroblasts, keloid-adjacent and control dermal fibroblasts shared 63 upregulated genes enriched in biological processes including lipid transport ( P = 0.038) and ion transport ( P = 0.040) ; compared with control dermal fibroblasts, keloid-adjacent and keloid-derived fibroblasts shared 56 upregulated genes enriched in the transforming growth factor β signaling pathway ( P < 0.001), etc. When comparing keloid-derived fibroblasts and keloid-adjacent fibroblasts with control dermal fibroblasts, 79 genes were uniquely upregulated only in keloid-adjacent fibroblasts; after filtering based on gene expression thresholds and consistency, 13 candidate genes (average expression level > 1 000 and variance of expression level within groups < 30 000) closely related to the transcriptomic characteristics of keloid-derived fibroblasts were identified, including genes inhibiting keloid formation such as SMAD6 and SMAD7, as well as those promoting keloid formation such as MSX1, SNAI1, and EDN1, which were enriched in the biological processes such as cell growth, ossification and cartilage development (all P < 0.01). The enrichment analysis of the above-mentioned 13 genes on the ChEA3 website identified some enriched transcription factors, such as myogenic differentiation protein 1 (MYOD1) and myogenin (MYOG) (both P < 0.05) . Conclusions:Compared with keloid-derived fibroblasts and control dermal fibroblasts, the transcriptomics of keloid-adjacent fibroblasts were characterized by high-level coexpression of genes involved in both the inhibition and promotion of keloid formation, which may provide a molecular explanation for the similarity in morphology between keloid-adjacent tissues and normal skin tissues as well as for the potential mechanisms underlying the high recurrence rate of keloids.

Objective:To analyze the characteristics of patients with pneumoconiosis complicated with chronic obstructive pulmonary disease (COPD), and to explore the comorbidity of pneumoconiosis and COPD and its influencing factors.Methods:From October to December 2022, 255 pneumoconiosis patients admitted to an occupational disease prevention and control hospital from January 2018 to December 2021 were selected as the study subjects. According to whether the pneumoconiosis patients were complicated with COPD or not, they were divided into pneumoconiosis and COPD comorbidity group and pneumoconiosis group. The general condition and dust exposure of the two groups of patients were analyzed, and the relationship between different types and different periods of pneumoconiosis and COPD comorbidity was analyzed by multivariate logistic regression.Results:A total of 255 subjects were collected, including 64 patients with comorbidity of pneumoconiosis and COPD, and the comorbidity rate was 25.1%. There were 186 males (72.9%) and 69 females (27.1%), ranging in age from 35 to 90 (63.79±11.79) years, and working age from 1 to 45 (20.31±10.57) years. The comorbidity of pneumoconiosis and COPD increased with the increase of working age (χ 2trend=8.19, P=0.004), and the comorbidity rate for COPD with working age of more than 30 years was 37.7% (23/61). The comorbidity rate of pneumoconiosis and COPD also increased with the increase of the stage of pneumoconiosis (χ 2trend=13.14, P<0.001), and the comorbidity rate of pneumoconiosis and COPD in the stage Ⅲ was as high as 44.0% (11/25). The cumulative dust exposure was negatively correlated with forced expiratory volume in one second/forced vital capacity (FEV 1/FVC), and the linear regression equation y=-0.04 x+78.4. Multivariate logistic regression analysis showed that the length of services ≥30 years ( OR=3.30, 95% CI: 1.15-9.52) and stageⅡ ( OR=3.05, 95% CI: 1.03-9.04) were the risk factors for comorbidity between pneumoconiosis and COPD ( P<0.05) . Conclusion:The comorbidity rate of pneumoconiosis and COPD is high. Working age, pneumoconiosis stage and cumulative dust exposure are the main influencing factors of pneumoconiosis and COPD comorbidity, so more attention should be paid to the comorbidity of pneumoconiosis and COPD.

Objective:To assess the attitudes toward and factors influencing starting insulin use among community-based patients with type 2 diabetes (T2D).Methods:A cross- sectional study. This secondary analysis used baseline data from patients with T2D recruited through convenience sampling from a community-based peer support intervention study implemented in nine community health service centers in Shanghai since 2017. Attitudes toward insulin use were assessed using the Chinese Attitudes to Starting Insulin Questionnaire (Ch-ASIQ); the higher the score, the more negative the attitude toward starting insulin use. Multiple linear regression was used to analyze the factors influencing attitudes toward starting insulin use.Results:A total of 336 patients with T2D were included in the survey. The patients had a mean age of (67.7±7.9) years, mean disease duration of (13.62±7.73) years, relatively low levels of depression [Patient Health Questionnaire 8 (PHQ-8): 2 (0, 5)] and diabetes distress [Diabetes Distress Scale 4 (DDS-4): 1.97±0.95], and suboptimal target achieving rates of risk factors including body mass index, blood pressure, blood glucose, and lipid levels. The total score on the Ch-ASIQ among all patients was 1.84±0.55. Multivariate analyses showed that refusing insulin use was positively significantly associated with higher scores on the Ch-ASIQ and the three sub-dimensions of "Factors promoting self-efficacy," "Fear of pain or needles," and "Time and family support" [ β (95% CI): 0.515 (0.355-0.674), 0.728 (0.470-0.986), 0.273 (0.030-0.515), 0.909 (0.606-1.213), all P<0.05]. In addition, disease duration [ β (95% CI):-0.011 (-0.019 to -0.004)] was independently negatively associated with the Ch-ASIQ score. In comparison, age [ β (95% CI): 0.011 (0.003-0.018)], DDS-4 [0.129 (0.069-0.190)], and PHQ-8 [0.015 (0.000-0.029)] were independently positively associated with the Ch-ASIQ score (all P<0.05). There were slight differences in the factors influencing the four sub-dimensions of the Ch-ASIQ scale. Conclusions:Community-based patients with T2D had moderate negative attitudes toward starting insulin treatment. Refusing insulin use, shorter diabetes duration, older age, higher diabetes distress, and higher levels of depression were associated with higher negative attitudes towards starting insulin use.

Objective To explore and identify the nutritional/inflammatory indicator with the highest predictive potential for overall survival(OS)in postoperative tumor patients so as to provide guidance for postoperative rehabilitation of tumor patients.Methods Data from 3 191 surgical patients were collected,including 15 nutritional/inflammatory indicators.The maximum selection rank statistic method was used to calculate the optimal cut-off values for continuous indicators.The Kaplan-Meier method was used to assess OS,and Cox proportional hazards models were used to analyze the association between the aforementioned 15 indicators and survival.The predictive value of these 15 indicators was evaluated with receiver operating characteristic(ROC)curves and C-index.Results Multivariate analysis showed that all 15 indicators were significantly associated with poorer OS in surgical patients(P＜0.05 for all).Time-dependent area under the curve(AUC)and C-index analysis indicated that 3 indicators with the highest predictive potential in OS in postoperative tumor patients were the nutritional risk index(NRI)(C-index:0.597),C-reactive protein-to-albumin ratio(CAR)(C-index:0.587),and C-reactive protein-to-lymphocyte ratio(CLR)(C-index:0.587).The optimal cut-off value for NRI was determined to be 104.31(i.e.,NRI＜104.31 suggests malnutrition)with the maximum selection rank statistic method,the optimal cut-off value for CAR to be 0.05(i.e.,CAR≥0.05 suggests a strong inflammatory response,often accompanied by malnutrition),and the optimal cut-off value for CLR to be 1.18(i.e.,CLR≥1.18 suggests a strong inflammatory response).Subgroup analysis indicated that NRI,CAR,and CLR had good correlation with tumor staging,and there were significant differences between tumor node metastasis(TNM)Ⅲ/Ⅳ stage patients and TNM Ⅰ/Ⅱ stage patients when there was a strong inflammatory response or malnutrition.Conclusion In postoperative tumor patients,NRI,CLR,and CAR have high prognostic value.Combining these with the patient's clinical stage,it enables more precise guidance for clinical diagnosis and treatment strategies.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.