1.Analysis of MMPI results in patients with anxious depression or non-anxious depression
Dandan CHENG ; Su HONG ; Xingyue CHEN ; Bing HU ; Xiaying LI ; Bingyang ZHA ; Ziyi YUAN ; Li KUANG
Chongqing Medicine 2025;54(1):52-56
Objective To investigate the differences in personality traits between the patients with anx-ious depression(AND)and non-anxious depression(NAD)in order to provide the possible basis for early find of the patients with AND.Methods A total of 572 adult patients with depression visiting in the psychiatric outpatient department of the First Affiliated Hospital of Chongqing Medical University from January 2022 to December 2022 were selected to conduct the questionnaire survey.General demographic questionnaire,Self-rating Depression Scale(SDS),Generalized Anxiety Disorder Scale(GAD-7)and Minnesota Multiphasic Per-sonality Inventory(MMPI)were collected and analyzed.The patients with GAD-7 total score ≥5 points served as the AND group(n=499)and those with GAD total score<5 points served as the NAD group(n=73).The correlation between the general demographic questionnaire,SDS and GAD-7 with MMPI was ana-lyzed.Results There were statistically significant differences in the place of residence,number of children in a family,education years,MMPI total score and high score proportions of psychopathy,athopia,hysteria,depres-sion,hypochondriasis,paranoea,schizophrenia,social introversion and hypomania dimensions between the two groups(P<0.05).The SDS and GAD-7 scores in the AND group were higher than those in the NAD group(P<0.05).The MMPI total score,athopia,hysteria,depression,hypochondriasis,paranoea,schizophrenia,so-cial introversion and hypomania were positively correlated with SDS and GAD-7(P<0.05).Conclusion The patients with depression accompanied by anxiety symptom could be early identified by the MMPI testing results.
2.Small-molecule probes based on natural products: Elucidation of drug-target mechanisms in stroke.
Xingyue JIN ; Suyi LIU ; Shujing CHEN ; Rui HAN ; Xingyi SUN ; Mingyan WEI ; Yanxu CHANG ; Lin LI ; Han ZHANG
Journal of Pharmaceutical Analysis 2025;15(11):101290-101290
Natural products (NPs) are an important source of new drugs for the treatment of stroke. Identifying cellular targets for bioactive molecules is a major challenge and critical issue in the development of new drugs for stroke. Small-molecule probes play a unique role in target discovery. However, drawbacks to these probes include non-specificity, unstable activity, and difficulty in synthesis. Small-molecule probes based on NPs at least partially compensate for these shortcomings. NPs feature rich chemical and structural diversity, biocompatibility, and unique biological activities. These features could be exploited to provide new ideas and tools for target discovery. Small-molecule probes based on NPs provide a precise and direct search for interacting protein targets of NPs-active small molecules. This review explores the properties of small-molecule probes based on NPs and their applications in mechanistic studies of stroke and other diseases. We hope that this review will bring new perspectives to the mechanistic study of NPs-active small molecules and accelerate the translation of these ingredients into drug candidates for the treatment of stroke.
3.Improved YOLOv5s based method for immunohistochemically positive cell counting
Xingyue CHEN ; Ziyan JIA ; Qing LI ; Dachuan ZHANG ; Lingjiao PAN ; Dawei SHEN
Chinese Journal of Medical Physics 2025;42(2):167-174
Objective To propose a novel method for immunohistochemically positive cell counting based on the improved YOLOv5s.Methods Regarding the small target characteristics of positive cells,a small target detection layer was added to refine feature extraction.Then,a bidirectional weighted feature pyramid network was used to replace path aggregation network(PANet)in the neck network for realizing multi-scale feature fusion.Additionally,the method used coordinate attention mechanism to make the model pay more attention to small target characteristics,and replaced the original GIoU with EIoU loss function for enhancing the detection performance.Results The model was trained on the self-built immunohistochemical image dataset.The average accuracy of the improved model was 89.3%,which was 4.0%higher than the original model and surpassed mainstream target detection models.The 5-year survival prediction model constructed with the method achieved an average accuracy of 76.8%and an average area under the curve of 0.81,demonstrating its superior prediction ability.Conclusion The proposed model can quickly detect the number of immunohistochemically positive cells and effectively assist doctors in survival prediction.
4.Value of early maternal serological indicators in predicting delivery of full-term small-for-gestational-age infants
Xiaochun CHEN ; Tao SU ; Xingyue ZHAI ; Qiaozhen CUI ; Li YANG
Journal of Clinical Medicine in Practice 2025;29(10):121-124
Objective To investigate the value of early maternal serological indicators in predic-ting the delivery of full-term small-for-gestational-age(SGA)infants.Methods The clinical data of pregnant women who delivered at Beijing Tongzhou District Maternal and Child Health Hospital from August 2023 to August 2024 were analyzed.A total of 180 pregnant women who delivered full-term SGA infants were included in case group,and 180 pregnant women who delivered full-term appropri-ate-for-gestational-age(AGA)infants during the same period were included in control group.The levels of serum pregnancy-associated plasma protein A(PAPP-A),placenta growth factor(PLGF),and soluble fms-like tyrosine kinase-1(sFlt-1)in the first trimester(11 to 13 weeks+6 days of ges-tation)of the two groups were compared.Receiver operating characteristic(ROC)curves were used to analyze the predictive value of early maternal serological indicators for the delivery of full-term SGA infants.Results The levels of serum PAPP-A and PLGF in the first trimester of the case group were lower than those in the control group,while the level of sFlt-1 was higher(P<0.05).The area un-der the ROC curve(AUC)for the combined detection of serum PAPP-A,PLGF,and sFlt-1 levels in the first trimester in predicting the delivery of full-term SGA infants was 0.823,which was higher than the AUCs for detection of each indicator(0.738,0.720,0.724)(P<0.05).Conclusion The detection of early maternal PAPP-A,PLGF,and sFlt-1 levels can reflect the fetal growth status in utero.The combined detection of these three indicators has a higher predictive value for the delivery of full-term SGA infants by pregnant women,which is helpful for clinicians to take intervention measures in advance.
5.Analysis on the Adaptability of Health Resource Allocation and Economic Development Level in Sichuan Province
Yang CHEN ; Yuqing GONG ; Xinmei YANG ; Li CHEN ; Xingyue ZHU
Chinese Health Economics 2025;44(3):66-72
Objective:To explore the adaptability of health resources allocation and the economic development level in Sichuan Province and its influencing factors,so as to provide reference and suggestions for optimizing health resources allocation.Methods:Based on the panel data of 21 cities(states)in Sichuan Province,it analyzes the adaptability of health resources allocation and economic development in Sichuan Province from 2017 to 2021 and its influencing factors through entropy method,coupling coordination model and grey relational model.Results:From 2017 to 2021,the allocation level of health resources in most areas of Sichuan Province showed a gradual upward trend,but the rising speed was obviously lower than the growth rate of economic development;In 2021,the adaptability between the allocation of health resources and the level of economic development in most parts of Sichuan Province is still in a low coordination stage.Conclusion:Different regions should adopt differentiated development strategies based on their actual geographical conditions,optimize the allocation of health resources according to local conditions,and promote the coordinated development of health resource allocation and economic level.
6.Visualization analysis on research literature about Taohong Siwu Decoction based on CiteSpace
Shang LIU ; Yan CHEN ; Kanjana THANA ; Can WANG ; Ziqiong LONG ; Xingyue CHEN ; Xiaoxiao ZHANG ; Yitong HONG
International Journal of Traditional Chinese Medicine 2025;47(3):380-386
Objective:To understand the current research status, hot issues, and development trends of Taohong Siwu Decoction.Methods:Research literature about Taohong Siwu Decoction was retrieved from Wanfang Data, CBM, CNKI, and Chongqing VIP from January 1, 2014, to August 13, 2024. Excel 2024 software was used to analyze the annual number of publications, the source journals, literature types and the distribution of diseases and syndromes. CiteSpace 6.3.R3 software was used for visualization analysis on the authors, research institutions and key words.Results:A total of 2 519 articles were included, and the annual publication volume showed a fluctuating growth trend. There were 396 source journals, of which Medicine and Health published the most (80 articles); 208 authors were involved, and the core authors included Peng Daiyin of Anhui University of Chinese Medicine, Zhu Fuping of the First Affiliated Hospital of Hunan University of Chinese Medicine, Sun Shaoqiu of the Second Affiliated Hospital of Hunan University of Chinese Medicine and so on. The main research institutions in this field included Hunan University of Chinese Medicine and its affiliated hospitals. The high-frequency keywords included fracture, irregular menstruation, clinical efficacy, chloasma, Wuling Powder, experience of famous doctors, elderly, etc. Keywords could be clustered into 11 modules.Conclusions:The current research hotspots of Taohong Siwu Decoction mainly focus on the exploration of multi-system disease treatment, individualized syndrome differentiation and treatment, pharmacology and metabolic mechanism of Chinese materia medica, etc. Among them, the in-depth study of drug composition and metabolism, network pharmacology and mechanism is the research frontier in this field.
7.Exploration on the Acupoint Selection Law of Post-Stroke Respiratory Dysfunction Based on Data Mining with R Language
Wenyan WU ; Yike CHEN ; Wanshan LI ; Xingyue LEI ; Tong LIU ; Weichuan KUANG
Chinese Journal of Information on Traditional Chinese Medicine 2025;32(11):48-55
Objective To investigate the acupoint selection law in acupuncture therapy for post-stroke respiratory dysfunction through data mining techniques with R language;To provide references for acupoint selection of clinical acupuncture practice for this disease.Methods Clinical research literature about acupuncture therapy for post-stroke respiratory dysfunction was retrieved from CNKI,Wanfang Data,VIP,CBM,PubMed,Cochrane Library,Web of Science and Embase from the establishment of the databases to February 20,2025.An acupuncture prescription database was established using Excel 2021.R 4.4.3 was used to analyze acupoint application frequency,meridian tropism,regional distribution and specific acupoints,and clustering analysis and association rule analysis were performed.Results Totally 123 articles were obtained,including 123 acupuncture prescriptions,involving 110 acupoints with a total application frequency of 723 times.High-frequency acupoints included Feishu(BL13),Hegu(LI4),Zusanli(ST36)and Fengchi(GB20),etc.The most frequently used meridians were the Bladder Meridian,Ren Meridian,Lung Meridian and Stomach Meridian.Acupoints were predominantly distributed in the head,neck and back regions,with crossing acupoints being the most commonly employed specific acupoints.Clustering analysis identified five meaningful acupoint combinations.The acupoint pair"Feishu(BL13)-Pishu(BL20)"demonstrated the strongest association.Conclusion Acupuncture treatment for post-stroke respiratory dysfunction follows the principle of strengthening the spleen to resolve phlegm and ventilating lung qi.The core acupoint combination is Feishu(BL13)-Pishu(BL20),with additional a acupoints adjusted based on syndrome differentiation to optimize therapeutic efficacy.
8.Preliminary exploration of the application of multi-parameter ultrasound in the assessment of chronic kidney fibrosis
Yao ZHANG ; Xingyue HUANG ; Qing DENG ; Ting CHEN ; Xin HUANG ; Jun ZHANG ; Yugang HU ; Qing ZHOU
Chinese Journal of Ultrasonography 2025;34(1):65-73
Objective:To investigate the application value of multi-parameter ultrasound in the non-invasive assessment of renal fibrosis in patients with chronic kidney disease(CKD).Methods:From December 2023 to April 2024,77 CKD patients(CKD group)and 30 healthy individuals(control group)from Renmin Hospital of Wuhan University were prospectively collected. The CKD group was further classified into mild( n = 30),moderate( n = 25)and severe( n = 22)groups according to pathological assessment of renal fibrosis. Ultrasound parameters and clinical data of all patients were collected for group comparisons. Ultrasound parameters that showed statistically significant differences in univariate analysis were incorporated into a Logistic regression model to identify independent influencing factors. ROC curve was constructed,and the area under the curve(AUC)was calculated for statistical evaluation. Results:① The moderate and severe groups compared to control group,as well as the severe group compared to the mild and moderate groups,showed increased levels of SCr and BUN,and decreased level of eGFR,with statistically significant differences(all P < 0.05). The kidney length and renal parenchymal thickness in the moderate group were smaller than those in the control group,while the kidney length,renal parenchymal thickness,and renal cortical thickness in the severe group were smaller than those in the control,mild,and moderate groups,with statistically significant differences among the groups(all P < 0.05). The Vmax in the severe group was lower than those in the control,mild,and moderate groups,while the RI was higher than those in the control,mild,and moderate groups,with statistically significant differences(all P < 0.05). ②In superb microvascular imaging,perfusion levels were predominantly grade 5 in the control and mild groups(83.3%,25/30;70.0%,21/30),grade 4 in the moderate group(48.0%,12/25),and grade 3 in the severe group(63.6%,14/22). No significant differences were observed between the mild and control groups,or between the moderate and severe groups(all P>0.05),significant differences in blood flow perfusion were found between other groups( P < 0.05).③Shear wave elastography and super-resolution imaging revealed that mean of Young's modulus(Emean)in renal cortex increased progressively from the mild to the severe group,while microvascular density decreased. Except for Emean,which did not show significant differences between the moderate and severe groups( P > 0.05),all other parameters showed significant differences between groups( P < 0.05). ④ROC curve analysis indicated that differentiating the control group from the mild group using Emean and microvascular density,the AUC was 0.769(95% CI = 0.631 - 0.872, P<0.001),with a sensitivity of 0.821 and specificity of 0.539. For the combined use of Emean,microvascular density,peak inter-arterial velocity,and resistance index for distinguishing mild from moderate-to-severe fibrosis resulted in an AUC of 0.902(95% CI = 0.843 - 0.972,P < 0.001),with a sensitivity of 0.967 and specificity of 0.755. These multi-parameter combined diagnostic approaches outperformed single ultrasound parameters. Conclusions:Multi-parameter ultrasound technology can display multidimensional renal changes in patients with CKD and effectively assess the degree of renal fibrosis. It is expected to become a non-invasive,highly sensitive tool for evaluating renal fibrosis in CKD.
9.Identification of Taste Critical Quality Attribute and Formulation Optimization of Qingre Jiedu Oral Liquid Based on the Combination of Electronic Tongue and Real Human Senses
Xingyue HUAN ; Zhisheng WU ; Ying LU ; Haiyang LI ; Shuoshuo XU ; Han HE ; Qiatong XIE ; Nan LI ; Jun JIA ; Lu YAO ; Run ZHANG ; Jiafu CHEN ; Xingxing DAI
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(11):3213-3223
Objective To identify the taste critical quality attribute and design and optimize the flavor-correcting formulation of the traditional Chinese medicine oral preparation Qingre Jiedu Oral Liquid,in order to improve its taste and enhance patient medication adherence.Methods The taste assignment method was employed to identify the taste critical quality attribute of Qingre Jiedu Oral Liquid.Based on human sensory evaluation and the standardized Euclidean distance in electronic tongue analysis,suitable types of corrigent were determined.Subsequently,under constraints such as maximum allowable dosage,solubility,and sweetness,the optimal taste formulation for the sugar-free intermediate of Qingre Jiedu Oral Liquid was determined using Box-Behnken experimental design combined with electronic tongue and human sensory evaluation results.The study was reviewed and approved by the Ethics Committee of Beijing University of Chinese Medicine(Ethics Approval Number 2020BZYLL0609).Results The quantitative score for bitter taste of Qingre Jiedu Oral Liquid accounted for 30.36%,confirming bitterness as the taste critical quality attribute requiring attention.The optimal taste formulation for the sugar-free intermediate of Qingre Jiedu Oral Liquid was determined to be 120 mg·mL?1 erythritol,12 mg·mL?1 acesulfame potassium,and 2.4 mg·mL?1 stevioside.This formulation achieved an 11.75-point improvement in sensory evaluation scores compared to the original commercially available oral liquid.Conclusion This study successfully improved the taste of Qingre Jiedu Oral Liquid and established a comprehensive strategy for flavor-correcting formulation optimization,including a method for identifying taste critical quality attribute.This strategy provides a referential paradigm for palatability enhancement of similar traditional Chinese medicine oral preparations,laying a crucial technical foundation for elevating the clinical value of Chinese herbal medicines and promoting the high-quality development of traditional Chinese medicine(TCM).
10.To construct nursing sensitive index system for patients with tracheotomy and dysphagia after brain injury based on evidence
Delian AN ; Yingjie ZHANG ; Ping FAN ; Hengfang RUAN ; Xingyue HOU ; Miaoxia CHEN ; Huijuan LI
Chinese Journal of Practical Nursing 2025;41(30):2366-2372
Objective:To construct a scientific, systematic, and clinically applicable evaluation system of quality-sensitive indicators for nursing care of patients with tracheostomy and swallowing disorders following brain injury, providing a basis for evaluating nursing care quality in this patient population.Methods:By reviewing the literature and qualitative studies, a draft evaluation indicator was formed based on nursing issues related to patients with swallowing disorders during their hospital stay, employing the "structure-process-outcome" three-dimensional quality management model as the theoretical foundation. Between July and September 2023, two rounds of Delphi method expert consultations were conducted to add, delete, and modify indicators, and the analytic hierarchy process was used to determine indicator weights.Results:A total of 18 experts participated in two rounds of consultations, with a questionnaire return rate of 18/18. All 18 experts were female, with an average age of (47.61 ± 8.17) years. The expert authority coefficients were 0.895 and 0.910, while the Kendall concordance coefficients were 0.304 and 0.138 (all P<0.001). The average importance values assigned to each level of indicators ranged from 4.28 to 5.00. The final nursing evaluation indicators for patients with tracheostomy and swallowing disorders following brain injury included 4 first-level indicators, 21 second-level indicators, and 45 third-level indicators. Conclusions:By combining evidence-based research, current situation surveys, qualitative studies, and the Delphi method, a successful nursing quality evaluation indicator system was established for patients with tracheostomy and swallowing disorders following brain injury. These indicators are scientific, systematic, and clinically operable, playing an important role in improving the quality of nursing care for patients with tracheostomy and swallowing disorders following brain injury.

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