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.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveTo investigate the association and translational mechanism between the hepatotoxicity of Xianling Gubao （XLGB） and its treatment of osteoporosis based on a zebrafish model. MethodsZebrafish were randomly selected four days after fertilization （4 dpf） and exposed to different concentrations of XLGB （0.7，0.35 mg·L^-1） for 96 h. At the endpoint of the exposure， the mortality rates of zebrafish in the treatment groups of different concentrations were counted， and the "dose-toxicity" curves were plotted. The 10% sublethal concentration （LC₁₀） was calculated. The liver area， acridine orange staining， and pathological tissue sections of transgenic zebrafish ［CZ16 （gz15Tg.Tg （fabp 10a： ds Red； ela31： EGFP）］ were used as indicators to confirm the hepatic damage caused by the sublethal concentration of XLGB. By using the prednisolone （PNSL）-induced osteoporosis model of zebrafish， the anti-osteoporosis activity of XLGB was evaluated by using the area of skull stained by alizarin red and the cumulative optical density value as indicators. Then， the toxicity difference of XLGB on the liver of zebrafish in healthy and osteoporotic states was compared， and the mechanism of the translational action of the toxicity of XLGB was predicted based on network pharmacology and real-time polymerase chain reaction（Real-time PCR）. ResultsThe LC₁₀ of XLGB on zebrafish （8 dpf） was 0.7 mg·L^-1. Compared with the blank group， the sublethal concentration （LC₁₀=0.7 mg·L^-1， 1/2 LC₁₀=0.35 mg·L^-1） of XLGB induced an increase in the number of apoptosis of hepatocytes in a dose-dependent manner， and the tissue arrangement of the liver was disordered and loose. The vacuoles were obvious， and the fluorescence area of the liver was significantly reduced （P<0.01）. Compared with the blank group， the mineralized area and cumulative optical density value of zebrafish skull in the PNSL model group were significantly reduced （P<0.01）， and those in the 0.7，0.35 mg·L^-1 XLGB treatment group were significantly increased compared with the model group （P<0.01）. Most importantly， 0.7 mg·L^-1 XLGB had no significant effect on the liver of zebrafish in the osteoporosis disease model compared with the blank group. The results of network pharmacology and real-time PCR experiments showed that the toxic transformation of XLGB might be related to the differences in the expression levels of key targets， such as tumor protein 53 （TP53）， cysteine aspartic acid specific protease-3（Caspase-3）， interleukin（IL）-6， and alkaline phosphatase（ALP） in different organismal states. ConclusionUnder certain conditions， XLGB has hepatotoxicity in normal zebrafish， but under osteoporotic conditions， XLGB not only exerts significant anti-osteoporosis activity but also alleviates hepatotoxicity significantly， which provides a reference for the safe clinical use of XLGB and real evidence for the theories of traditional Chinese medicine of attacking poison with poison and of treating disease with corresponding drugs without damage to the body.

Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.

Objective: To explore the relationship between parenting styles and depressive symptoms in adolescents with nightmare disorder, so as to provide a scientific basis for formulating effective family intervention measures and psychological counseling. Methods: From January 2023 to August 2024, 90 adolescents diagnosed with nightmare disorder and admitted to Hangzhou Seventh Peoples Hospital, along with 176 healthy controls from the urban areas of Hangzhou, were recruited as participants in the study. All participants were assessed using the Nightmare Experience Questionnaire (NEQ), Family Relationship Questionnaire (FRQ), and Plutchik-van Praag Selfreport Depression Scale (PVP). The ttest and Chisquare test were conducted to compare two groups. Pearson correlation and stepwise multiple linear regression were employed to explore the correlations between PVP and NEQ or FRQ. The Process model was used to testing the mediating effects among NEQ/FRQ/PVP. Results: The nightmare disorder group had higher scores in nightmare frequency, the four factors of NEQ (physical effect, negative emotion, meaning interpretation, horrible stimulation), and PVP than the healthy control group (24.86±18.89, 10.12±3.67, 19.01±3.51, 17.02±3.31, 15.14±3.26, 14.02±4.38; 2.34±1.04, 6.49±2.18, 17.63±4.76, 13.91±4.24, 12.40±4.49, 9.39±3.28)(t=15.79, 10.11, 2.43, 6.09, 5.14, 27.46, P<0.05). The nightmare disorder group reported significantly lower scores in FRQ general attachment and maternal encouragement than the healthy control group (7.22±2.81, 16.39±3.28) (t=-5.53, -4.95). In contrast, they exhibited significantly higher scores in maternal abuse, maternal dominance, paternal freedom release, and paternal dominance than the healthy control group (8.23±1.80, 13.11±3.73, 18.36±3.37, 12.04±3.29; 6.07±1.85, 8.48±3.80, 15.15±2.51, 9.47±3.03) (t=6.70, 8.96, 5.90, 7.04, P<0.01). The results of Pearson correlation analysis showed that, in the nightmare disorder group, the PVP score was positively correlated with negative emotion, nightmare frequency, maternal abuse, and maternal dominance score (r=0.14, 0.63, 0.26, 0.51, P<0.05). The results of multiple linear regression analysis showed that when using FRQ score to predict NEQ score, the adjusted R2 in the nightmare disorder group was 0.01-0.59. Mother abuse could prediced physical effect (β=0.33); maternal dominance significantly predicted negative emotion, horrible stimulation, and nightmare frequency (β=0.29, 0.30, 0.79); paternal freedom release could predict negative emotion (β=0.26), paternal dominance predicted both negative emotion and nightmare frequency (β=0.22, 0.45) (P<0.05). Mediation analysis further revealed that, in the nightmare disorder group, PVP scores served as a mediating variable between FRQ and NEQ. Conclusion Abusive, controlling, and neglectful family upbringing styles as well as depression maybe are key factors that may contribute to the development of nightmare disorder among adolescents.

Objective To assess the nutritional status in elderly patients with chronic renal insufficiency (CRI) and reveal the key factors affecting the nutritional status. Methods A total of 310 elderly patients with CRI who received hospitalization treatment and outpatient follow-up in the hospital from January 2021 to June 2024 were selected as the investigation subjects. The nutritional status of patients was evaluated by mini-nutritional assessment (MNA) questionnaire, and the nutritional status and dietary structure of patients were comprehensively evaluated by anthropometric indicators [height, weight, body mass index (BMI), upper arm circumference, calf circumference], biochemical indicators [serum albumin (ALB), prealbumin (PA), hemoglobin (Hb), transferrin (TF)] and 24-hour dietary review method. According to the investigation results of nutritional status, the patients were divided into good nutrition group (MNA score≥24 points), nutritional risk group (MNA score of 17-23.5 points) and malnutrition group (MNA score<17 points). Univariate analysis was adopted to screen the potential influencing factors of elderly CRI. Multivariate logistic regression model was applied to analyze the influencing factors of malnutrition in elderly CRI patients. Results Among the 325 questionnaires were distributed, but only 310 valid questionnaires were recovered, with an effective recovery rate of 95.38%. Investigation results revealed that among the 310 patients, 29.35% (91 cases) had good nutritional status, and 42.26% (131 cases) had nutritional risk, and 28.39% (88 cases) had malnutrition. Univariate analysis indicated that there were statistical differences in BMI, CRI staging, serum ALB, PA, Hb, TF, protein intake and total calorie intake among the good nutrition group, the nutritional risk group and the malnutrition group (P<0.05). Multivariate logistic regression analysis suggested that low BMI (OR=0.903, 95%CI: 0.867-0.941), high CRI stage (OR=1.091, 95%CI: 1.053-1.130), low serum ALB (OR=0.907, 95%CI: 0.867-0.948), PA (OR=0.918, 95%CI: 0.888-0.949), Hb (OR=0.944, 95%CI: 0.909-0.997), TF (OR=0.912, 95%CI: 0.874-0.952), insufficient protein intake (OR=0.924, 95%CI: 0.882-0.969) and insufficient total calorie intake (OR=0.938, 95%CI: 0.909-0.968) were influencing factors for malnutrition in elderly patients with CRI (all P<0.05). Drawing ROC curve of malnutrition in elderly patients with CRI according to the prediction probability of logistic regression model found that the AUC, sensitivity, specificity, 95%CI and Youden index were 0.976, 93.18%, 92.34%, 0.953-0.990 (P<0.05) and 0.855. Conclusion The incidence rate of malnutrition is high in elderly patients with CRI, and is mainly affected by factors such as low BMI, high CRI stage, low serum ALB, PA, Hb and TF levels and insufficient protein and total calorie intakes. In addition, logistic regression model has high predictive value and can provide a reference for early clinical identification of high-risk population with malnutrition among elderly patients with CRI.

Objective To analyze the current status of dietary quality in patients with chronic atrophic gastritis (CAG), and to explore the influencing factors of dietary quality. Methods A retrospective study was conducted on 550 patients with CAG admitted to the hospital from April 2021 to April 2024. Self-made basic data questionnaire, dietary balance index (DBI), and hospital anxiety and depression scale-anxiety subscale (HADS-A) were used for investigation. Multivariate linear regression analysis was applied to analyze the influencing factors of DBI-lower bound score (LBS). Results The average score of DBI-LBS in 550 patients with CAG was (31.45±8.53) points. There were significant differences in DBI-LBS scores among CAG patients in terms of age, body mass index (BMI), Helicobacter pylori (HP) infection, marital status, drinking history, smoking history, CAG severity, HADS-A score and concurrent gastrointestinal diseases (P<0.05). Multivariate linear regression analysis of the above influencing factors indicated that BMI, smoking history, HADS-A score and CAG severity were independent influencing factors of DBI-LBS score in CAG patients (P<0.05). Conclusion The general dietary quality is not optimistic in CAG patients, showing a moderate deficiency in dietary intake. BMI, disease severity and psychological status of patients are independent factors affecting dietary quality.

The patient, a 10-year-old and 4-month-old boy, was admitted to the hospital "with a history of 19 days since tonsil surgery and 11 days of recurrent hematemesis". 19 days ago, bilateral endoscopic tonsil + adenoid plasma melting and bilateral tonsil fossa inferior pole suture were performed in the outer hospital, and recurrent hematemesis occurred 11 days ago, accompanied by transient fatigue and abdominal pain, diagnosis: ①Hematemesis to be investigated: postoperative tonsil bleeding? Upper gastrointestinal bleeding?②Acute moderate hemorrhagic anemia. On the first and third days of admission, the child had two sudden episodes of massive hematemesis, both of which were more than 1 000 mL, with pale lips, fatigue, and hemorrhagic shock. Bleeding was rapid and can terminate spontaneously, and emergency physical examination does not reveal a clear point of bleeding. Bilateral inferior pole sutures in the tonsillar fossa are in place. There were no obvious abnormalities in the emergency digestive endoscopy, no obvious bleeding points were detected in the tonsils and adenoids surgical area, and no obvious abnormalities were found in the neck CT angiography（CTA）. Emergency DSA-guided percutaneous selective external carotid artery intervention was performed, during which about 5 mm contrast agent overflowed at the origin of the facial artery, and a coil was implanted. The child had no active bleeding after the operation, and his life was as usual at 2 months of follow-up.
Humans ; Male ; Child ; Tonsillectomy/adverse effects* ; Postoperative Hemorrhage/therapy* ; Palatine Tonsil/surgery* ; Recurrence

With the growing emphasis on maternal and child oral health, the significance of managing oral health across preconception, pregnancy, and infancy stages has become increasingly apparent. Oral health challenges extend beyond affecting maternal well-being, exerting profound influences on fetal and neonatal oral development as well as immune system maturation. This expert consensus paper, developed using a modified Delphi method, reviews current research and provides recommendations on maternal and child oral health management. It underscores the critical role of comprehensive oral assessments prior to conception, diligent oral health management throughout pregnancy, and meticulous oral hygiene practices during infancy. Effective strategies should be seamlessly integrated across the life course, encompassing preconception oral assessments, systematic dental care during pregnancy, and routine infant oral hygiene. Collaborative efforts among pediatric dentists, maternal and child health workers, and obstetricians are crucial to improving outcomes and fostering clinical research, contributing to evidence-based health management strategies.
Humans ; Pregnancy ; Female ; Infant ; Consensus ; Mouth Diseases/therapy* ; Pregnancy Complications/therapy* ; Oral Health ; Infant, Newborn ; Delphi Technique ; Oral Hygiene