Charcoal-processed traditional Chinese herbal medicine has various therapeutic effects， including astringing， hemostasis， anti-diarrhea， clearing heat， tonifying， and warming the interior. This paper summarizes the clinical application features， compatible experiences， dosages， and precautions for over 20 types of charcoal-processed herbal medicine in the treatment of gynecological bleeding disorders caused by dysfunctions such as dysfunctional uterine bleeding， endometriosis， uterine incision pseudocavity， and vaginal bleeding resulting from threatened miscarriage. The charcoal-processed herbal medicine include Huangqin （Scutellaria Baicalensis） Charcoal， Dahuang （Rheum Palmatum） Charcoal， Cebai （Platycladus Orientalis） Charcoal， Diyu （Sanguisorba Officinalis） Charcoal， Daji （Cirsium Setosum） Charcoal， Xiaoji （Cirsium Japonicum） Charcoal， Shengdi （Rehmannia Glutinosa） Charcoal， Aiye （Artemisia Argyi） Charcoal， Paojiang （Zingiber Officinale） Charcoal， Xuduan （Dipsacus Asper） Charcoal， Duzhong （Eucommia Ulmoides） Charcoal， Qiancao （Rubia Cordifolia） Charcoal， Puhuang （Typha Angustifolia） Charcoal， Shanzha （Crataegus Pinnatifida） Charcoal， Jingjie （Schizonepeta Tenuifolia） Charcoal， Xueyu （Carthamus Tinctorius） Charcoal， Zonglyu （Areca Catechu） Charcoal， Wumei （Prunus Mume） Charcoal， Shudahuang （Rheum Officinale） Charcoal， Lianfang （Nymphaea Alba） Charcoal， Mianmaguanzhong （Clematis Armandii） Charcoal， and Oujie （Nelumbo Nucifera） Charcoal.

Objective To evaluate the efficacy of Puerariae lobatae radix （PLR） and Anemarrhenae Rhizoma （AR） in preventing and treating Alzheimer’s disease （AD） and explore its potential mechanism of action by LC-MS serum metabolomics strategy. Methods The AD rat model was established by administering aluminum chloride （AlCl₃） and D-galactose （D-gal） for 20 weeks. The traditional Chinese medicine intervention group was given the PLR, AR, and PLR-AR extracts for 8 weeks by gavage. The model effect and efficacy were evaluated by Morris water maze test and biochemical indicators including SOD, NO, and MDA; Metabolomics research based on the UHPLC-Q/TOF-MS method was conducted, and relevant metabolic pathways were analyzed through the MetaboAnalyst online website. Results The learning and memory abilities of AD model rats were significantly decreased compared with the control group, and the levels of oxidative stress and lipid peroxides were significantly increased （P<0.05）, while the SOD content was decreased considerably （P<0.01）. The learning and memory abilities of AD model rats were improved, oxidative stress and lipid peroxidation levels were reversed, and serum SOD content was increased significantly after the intervention of PLR-AR, with better effects than single drugs. Through metabolomics, 70 differential metabolites were identified between the AD model group and the control group, mainly involving 10 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, and unsaturated fatty acid biosynthesis, et.al. The intervention of PLR-AR could adjust 47 metabolites, with 20 metabolites showing significant differences （P<0.05）. The significantly adjusted metabolites involve 6 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, et al. Conclusion The combination of PLR and AR could significantly improve the learning and memory abilities of AD rat models. The mechanism may be related to the improvement of oxidative stress and lipid peroxidation levels, the increase of serum SOD content, and the regulation of phenylalanine, tyrosine, and tryptophan biosynthesis pathways.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

ObjectiveTo construct and validate a clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure （CHF），aiming to assist clinical diagnosis and provide tools and methods for individualized treatment of CHF. MethodsThe clinical data of patients with chronic heart failure treated at Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2022 to January 2024 were retrospectively collected. The patients were randomly divided into a training group and a validation group with a ratio of 7∶3. First， the least absolute shrinkage and selection operator （LASSO） regression analysis was used to preliminarily screen the predictive factors affecting the diagnosis of Qi deficiency and blood stasis syndrome in CHF. Subsequently， the Logistic regression method was applied to conduct a more in-depth and detailed analysis of these factors. Variables with P<0.05 in the results of the multi-factor Logistic regression were carefully selected and included. Based on the regression coefficients obtained from this analysis， a model was constructed， and a nomogram was accurately drawn. Using R software，the receiver operating characteristic （ROC） curve，calibration curve，and decision curve analysis （DCA） were precisely drawn. These analyses were used to comprehensively evaluate the model from three crucial aspects： discrimination，calibration，and clinical applicability. Additionally， the accuracy，specificity，sensitivity，positive predictive value，and negative predictive value of the model were meticulously calculated to conduct a more all-round and comprehensive assessment. ResultsIn total， 168 cases were successfully obtained in the training group， and 71 cases were included in the validation group. After a thorough comparison， it was found that there were no statistically significant differences in the baseline data between the two groups. After being rigorously screened by the LASSO-multivariate logistic regression method， dark red tongue，smoking history，cardiac troponin I，and N-terminal pro-B-type natriuretic peptide （NT-ProBNP） were identified as the influencing factors for diagnosing patients with the Qi deficiency and blood stasis syndrome in CHF. The constructed model demonstrated an area under the curve （AUC） of 0.812 in the training group and 0.719 in the validation group. The calibration curve showed that the predicted curve of the model was close to the actual observed curve. DCA indicated that the model could provide substantial clinical benefits for patients at the decision thresholds ranging from 0.2 to 0.9. ConclusionThe clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure constructed in this study shows good performance. It has certain application value in clinical practice， which may contribute to the improvement of the diagnosis and treatment of CHF patients with this syndrome.

Objective To construct a glioma microfluidic chip model to simulate tumor microenvironment for evaluating the medicinal efficacy of anti-glioma traditional Chinese medicines. Methods Glioblastoma cells U251 were seeded into microfluidic chips with different culture modes, and the cell viability and tumour microenvironment within the constructed model were characterized. Fluorescence staining was used to evaluate the effects of the positive drugs temozolomide （TMZ） and docetaxel （DOC） on the cell activity and apoptosis within the model, which was applied to evaluate the medicinal efficacy of the extracts of the herb Scutellaria barbata on gliomas. Results The cells in the constructed U251 microfluidic chip model displayed high viability and were able to mimic the hypoxic microenvironment of tumor to a certain extent. The viability of the U251 cells in the microfluidic chips decreased with the increasing of the concentration of the positive drug, and the viability of the 3D cultured U251 cells was higher than that in the 2D condition （P<0.05）. The intracellular mitochondrial membrane potential decreased with the increasing of the concentration of the positive drug. And the 2 mg/ml Scutellaria barbata extract killed U251 cells to a certain extent and reduced the mitochondrial membrane potential of the cells in the model. Conclusion This study successfully constructed a microfluidic chip model of glioma that could effectively simulate the tumor microenvironment and rapidly evaluate the anti-tumor medicinal efficacy, which provided a new strategy for the medicinal efficacy evaluation and active components screening of anti-glioma traditional Chinese medicines.

ObjectiveTo observe the effect of Zishen Tiaogan prescription on the oxidative stress injury in the rat model of diminished ovarian reserve （DOR） and explore the role of the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway. MethodsForty-eight female SD rats were randomly assigned into a normal group （n=12） and a modeling group （n=36）. The rats in the modeling group received subcutaneous injection of galactose （350 mg·kg^-1） combined with immobilization stress daily. After 28 days of modeling， 6 rats in the normal group and 6 rats in the modeling group were sacrificed to examine the modeling results. The successfully modeled rats were assigned into model， estradiol valerate （0.09 mg·kg^-1）， and low-， medium-， and high-dose （6.39， 12.78， 25.56 g·kg^-1， respectively） Zishen Tiaogan prescription groups. The intervention lasted for 4 weeks with 6 animals per group. Hematoxylin-eosin staining was used to observe the estrous cycle and the pathological changes in the ovarian tissue. The ovarian index was calculated. Enzyme-linked immunosorbent assay was employed to measure the serum levels of sex hormones and oxidative stress-related indexes. Western blot and real-time PCR were employed to determine the protein and mRNA levels， respectively， of Nrf2， Keap1 and HO-1 in the ovarian tissue. The positive expression of superoxide dismutase 2 （SOD2） in the ovarian tissue was detected by immunohistochemistry （IHC）. ResultsCompared with the normal group， the model group showed reduced follicles in the ovary， loose arrangement of the follicle granule layer， declined levels of anti-Mullerian hormone （AMH） and estradiol （E₂） in the serum， elevated levels of luteinizing hormone （LH） and follicle-stimulating hormone （FSH） （P<0.01）， lowered levels of superoxide dismutase （SOD）， catalase （CAT）， and glutathione （GSH） （P<0.01）， and increased accumulation of malondialdehyde （MDA） （P<0.01）. In addition， the modeling led to up-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 and HO-1 protein was significantly decreased （P<0.01）， the mRNA expression of Nrf2 was significantly decreased （P<0.05）， the mRNA expression of HO-1 was significantly decreased （P<0.01）， in the ovarian tissue. Compared with model group， the estradiol valerate and low-， medium-， and high-dose Zishen Tiaogan prescription groups showed increases in the ovarian index （P<0.01） and serum E₂ and AMH levels （P<0.01）， declined levels of FSH and LH （P<0.01）， increased follicles in the ovary， elevated levels of SOD， CAT， and GSH， and reduced accumulation of MDA （P<0.05， P<0.01）. Furthermore， these groups showcased down-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 protein was significantly increased （P<0.01）， the expression level of HO-1 protein was increased （P<0.05，P<0.01）， and increased positive expression of SOD2 （P<0.01）. ConclusionZishen Tiaogan prescription can regulate the serum levels of hormones， down-regulate the expression of Keap1， up-regulate the expression of Nrf2， HO-1， and SOD2， enhance the antioxidant capacity， and reduce the peroxidation damage in the ovarian tissue to improve the ovarian reserve function in the rat model of DOR. High-dose Zishen Tiaogan prescription demonstrated the best effect and the mechanism is associated with the regulation of the Keap1/Nrf2/HO-1 pathway.

BackgroundMany studies have shown that patients with depressive disorder show impairments in prospective memory， while it is deemed necessary for facilitating their social reintegration， and the current research findings are inconsistent regarding the factors affecting prospective memory of patients with depressive disorder. ObjectiveTo explore the impact of target characteristics （emotional valence and salience） on prospective memory in patients with depressive disorder， so as to provide references for the training and recovery of prospective memory function in these patients. MethodsFrom January to December 2022， 53 patients with depressive disorder were recruited from the outpatient department of Inner Mongolia Autonomous Mental Health Center. Meanwhile， 45 healthy individuals were concurrently recruited from surrounding communities as control group. An experiment with a 2 （participant type： depressive disorder， healthy control） ×2 （target salience： salient， non-salient） ×3 （emotional valence： positive， neutral， negative） factorial design was conducted. The positive/neutral/negative emotional pictures from Chinese Affective Picture System （CAPS） were used for emotional stimulation. A dual-task experimental paradigm was adopted， and the response time and accuracy in prospective memory task and ongoing task were recorded for participants with different target characteristics. Results①In the prospective memory task， the main effect of participant type was statistically significant， with the depressive group showing lower accuracy （F=14.892， P<0.01） and longer response time （F=10.642， P=0.002） compared with control group. ② The main effect of target emotional valence on accuracy （F=7.575， P=0.001） and response time （F=3.196， P=0.044） in the prospective memory task was statistically significant. Simple effect analysis revealed that depressive group yielded a shorter response time and higher accuracy rate under negative conditions compared with positive and neutral conditions （P<0.05 or 0.01）. ③ The main effect of target salience on accuracy （F=6.659， P=0.012） and response time （F=10.106， P=0.002） in the prospective memory task was also statistically significant， with higher accuracy and shorter response time for salient targets compared with non-salient targets. ConclusionPatients with depressive disorder demonstrate preferential attention to and processing of negative stimuli in prospective memory tasks， while increasing target salience may facilitate spontaneous processing of prospective memory task in patients with depressive disorder. ［Funded by Inner Mongolia Health Commission Medical Health Science and Technology Project （number， 202202104）］

ObjectiveTo observe the effect of Zishen Tiaogan prescription on the oxidative stress injury in the rat model of diminished ovarian reserve （DOR） and explore the role of the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway. MethodsForty-eight female SD rats were randomly assigned into a normal group （n=12） and a modeling group （n=36）. The rats in the modeling group received subcutaneous injection of galactose （350 mg·kg^-1） combined with immobilization stress daily. After 28 days of modeling， 6 rats in the normal group and 6 rats in the modeling group were sacrificed to examine the modeling results. The successfully modeled rats were assigned into model， estradiol valerate （0.09 mg·kg^-1）， and low-， medium-， and high-dose （6.39， 12.78， 25.56 g·kg^-1， respectively） Zishen Tiaogan prescription groups. The intervention lasted for 4 weeks with 6 animals per group. Hematoxylin-eosin staining was used to observe the estrous cycle and the pathological changes in the ovarian tissue. The ovarian index was calculated. Enzyme-linked immunosorbent assay was employed to measure the serum levels of sex hormones and oxidative stress-related indexes. Western blot and real-time PCR were employed to determine the protein and mRNA levels， respectively， of Nrf2， Keap1 and HO-1 in the ovarian tissue. The positive expression of superoxide dismutase 2 （SOD2） in the ovarian tissue was detected by immunohistochemistry （IHC）. ResultsCompared with the normal group， the model group showed reduced follicles in the ovary， loose arrangement of the follicle granule layer， declined levels of anti-Mullerian hormone （AMH） and estradiol （E₂） in the serum， elevated levels of luteinizing hormone （LH） and follicle-stimulating hormone （FSH） （P<0.01）， lowered levels of superoxide dismutase （SOD）， catalase （CAT）， and glutathione （GSH） （P<0.01）， and increased accumulation of malondialdehyde （MDA） （P<0.01）. In addition， the modeling led to up-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 and HO-1 protein was significantly decreased （P<0.01）， the mRNA expression of Nrf2 was significantly decreased （P<0.05）， the mRNA expression of HO-1 was significantly decreased （P<0.01）， in the ovarian tissue. Compared with model group， the estradiol valerate and low-， medium-， and high-dose Zishen Tiaogan prescription groups showed increases in the ovarian index （P<0.01） and serum E₂ and AMH levels （P<0.01）， declined levels of FSH and LH （P<0.01）， increased follicles in the ovary， elevated levels of SOD， CAT， and GSH， and reduced accumulation of MDA （P<0.05， P<0.01）. Furthermore， these groups showcased down-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 protein was significantly increased （P<0.01）， the expression level of HO-1 protein was increased （P<0.05，P<0.01）， and increased positive expression of SOD2 （P<0.01）. ConclusionZishen Tiaogan prescription can regulate the serum levels of hormones， down-regulate the expression of Keap1， up-regulate the expression of Nrf2， HO-1， and SOD2， enhance the antioxidant capacity， and reduce the peroxidation damage in the ovarian tissue to improve the ovarian reserve function in the rat model of DOR. High-dose Zishen Tiaogan prescription demonstrated the best effect and the mechanism is associated with the regulation of the Keap1/Nrf2/HO-1 pathway.

Objective: To investigate the effect of targeted silencing of DNA methyltransferase 3A(DNMT3A) on collagen deposition, proliferation and migration activity of mouse lung fibroblasts(PFs). Methods: In order to ensure the proliferation and migration activity of primary fibroblasts, the lung tissues of neonatal C57 suckling mice were taken, PFs were extracted after being sheared, and the morphology was observed and identified under the microscope. PFs cells were activated by 5 ng/ml TGF-β1for 24 h after cell attachment, and DNMT3A silencing model was constructed by small interfering RNA; The experiment was divided into control group, TGF-β1group, TGF-β1+ siRNA-NC group and TGF-β1+ siRNA-DNMT3A group. The protein expressions of DNMT3A, α-smooth muscle actin(α-SMA) and Collagen Ⅰ were detected by Western blot; Real time quantitative reverse transcription polymerase chain reaction(RT-qPCR) was used to detect the mRNA expression changes ofDNMT3A,α-SMAandCollagenⅠ. The proliferation ability of PFs was detected by CCK-8 and EdU staining; the migration ability of PFs was detected by scratch test and Transwell migration test. Results: Compared with the control group, TGF-β1induced the increase of DNMT3A in the activated PFs cell group(P<0.01), the protein and mRNA levels of fibrosis and proliferation related indicators α-SMA and Collagen Ⅰ also increased(allP<0.05), and the proliferation and migration ability of PFs increased(allP<0.000 1). Compared with the siRNA-NC group, the protein expression levels of DNMT3A(P<0.000 1) and related indicators α-SMA(P<0.01) and Collagen Ⅰ(P<0.01) significantly decreased in the DNMT3A silencing group by Western blot, and the mRNA levels ofDNMT3A,α-SMAandCollagenⅠby RT-qPCR also decreased(allP<0.001), and the proliferation(P<0.01) and migration ability(P<0.05) of PFs cells decreased compared with the control group. Conclusion Silencing DNMT3A can inhibit the deposition of collagen and the proliferation of PFs. DNMT3A can promote the proliferation and migration of PFs, and then promote the activation of PFs and the development of pulmonary fibrosis. This process may be regulated by DNA methylation modification.

Objective: To understand the prevalence and related factors of depressive symptoms among primary and secondary school students in the in depth monitoring counties of China s Rural Compulsory Education Nutrition Improvement Program, so as to provide a basis for prevention and psychological intervention of depressive symptoms among children and adolescents in rural areas. Methods: In November 2022, a stratified random sampling method was adopted to collect height and weight data, basic personal and family information of 7 949 primary and secondary school students from grade three to grade nine through physical measurements and questionnaires in 56 key monitoring schools implementing the Student Nutrition Improvement Program in 7 in depth monitoring counties (Jalaid Banner in Inner Mongolia, Jinzhai County in Anhui, Mao Xian in Sichuan, Tiandeng County in Guangxi, Mian County in Shaanxi, Zhaozhou County in Heilongjiang and Youxi County in Fujian), and to obtain the information related to their depressive symptoms through the self assessment questionnaire on depression. Multivariate Logistic regression analysis was conducted to analyze the prevalence of depressive symptoms among primary and secondary school students, as well as their related factors. Results: The detection rate of depressive symptoms among primary and secondary school students in the in depth monitored counties was 23.5%. Logistic regression analysis showed that the probability of detecting depressive symptoms was higher among female students, middle school students, students whose video screen duration per day was >2 h, and students whose parents marital status was divorced or widowed ( OR =1.40, 1.64, 1.60, 1.24), and students whose sleep duration reached the recommended standard, whose parents usually accompanied them daily for time was 60-<120 min and ≥120 min, and students whose mothers literacy level was middle school graduation had lower probability of detecting depressive symptoms ( OR =0.85, 0.84, 0.71, 0.76) ( P < 0.05 ). Conclusion The detection rate of depressive symptoms among students in the in depth monitoring area is high, and targeted interventions need to be developed for students to reduce the risk of mental health problems.