Due to its synergistic effects and reduced side effects, combination therapy has become an important strategy for treating complex diseases. In traditional Chinese medicine (TCM), the "monarch, minister, assistant, envoy" compatibilities theory provides a systematic framework for drug compatibility and has guided the formation of a large number of classic formulas. However, due to the complex compositions and diverse mechanisms of action of TCM, it is difficult to comprehensively reveal its potential synergistic patterns using traditional methods. Synergistic prediction based on molecular compatibility theory provides new ideas for identifying combinations of active compounds in TCM. Compared to resource-intensive traditional experimental methods, artificial intelligence possesses the ability to mine synergistic patterns from multi-omics and structural data, providing an efficient means for modeling and optimizing TCM combinations. This paper systematically reviews the application progress of AI in the synergistic prediction of TCM active compounds and explores the challenges and prospects of its application in modeling combination relationships, thereby contributing to the modernization of TCM theory and methodological innovation.
Artificial Intelligence ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Drug Synergism

Objective:To explore the developmental trajectory and influencing factors of self-management behavior among stroke patients.Methods:A total of 478 ischemic stroke patients admitted to the department of neurology of a grade-Ⅲ hospital in Henan Province from July 2023 to June 2024 were selected as the investigation objects. Baseline data of patients were collected using the general situation questionnaire, stroke knowledge questionnaire, stroke health belief scale, stroke self-management behavior scale and self-rating depression scale. The self-management behavior level of patients was assessed at discharge, 1 month, 3 months and 6 months after discharge. Mplus 7.0 software was used to conduct trajectory analysis of stroke patients' self-management behaviors, and multiple Logistic regression analysis was used to analyze the influencing factors associated with the development trajectory types of different stroke self-management behaviors.Results:The self-management behavior scores of stroke patients at discharge, 1 month, 3 months and 6 months after discharge were 206.59(167.59, 230.57), 169.59(129.73, 196.73), 149.82(120.89, 171.48), and 147.14(123.02, 181.64), respectively. Four trajectory categories were described. Category 1 was low-level pattern of initial decrease followed by stabilization, accounting for 16.95%(81/478)( P<0.001, intercept=2.701). Category 2 was low-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept =2.696). Category 3 was medium-level pattern of initial decrease followed by stabilization, accounting for 57.11%(273/478)( P<0.001, intercept =3.829). Category 4 was high-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept=4.366). The self-management behavior of stroke patients with low level of stroke knowledge, low level of health belief, aged 60 to 70 years old, residence in rural areas and middle school and below education level were more likely to belong to the low level group(all P<0.05). Patients with low depression in the low level group were more likely to be classified as low-level pattern of initial decrease followed by increase( P<0.05). Conclusion:The trajectory category of self-management behavior could be predicted by stroke knowledge level, health belief level, age, place of residence, educational background and depression. Their self-management behavior level may be improved through targeted interventions according to the characteristics of different trajectory categories.

Objective:To understand the feelings and experiences of patients with dizziness caused by cerebrovascular diseases, and to provide a reference basis for the development of nursing intervention measures.Methods:Semi-structured interviews were carried out from November 2024 to February 2025 by phenomenology method. The patients with dizziness caused by cerebrovascular diseases who were hospitalized in the First Affiliated Hospital of Zhengzhou University were selected by purposive sampling method. The interview data were analyzed by the Colaizzi 7-step analysis method to summarize and extract the themes.Results:Finally, 16 patients with dizziness caused by cerebrovascular diseases were interviewed, including 6 males and 10 females, aged 43 to 73 years. The feeling and experience of patients with dizziness caused by cerebrovascular diseases could be summarized into three themes: persistent physical symptoms (physiological function imbalance, the superposition of multiple symptoms); patients had cognitive biases (symptom risk cognitive bias, symptom knowledge cognitive bias, drug effect cognitive bias); patients' self-perceived burden was obvious(physical burden, emotional burden, and economic burden).Conclusions:The patients with dizziness caused by cerebrovascular diseases show multi-dimensional characteristics, and there are many burdens and needs in physiological, psychological and social aspects. We should pay attention to the symptom experience and psychological feelings of such patients, and give targeted health education and multi-dimensional social support.

Objective:To explore the developmental trajectory and influencing factors of self-management behavior among stroke patients.Methods:A total of 478 ischemic stroke patients admitted to the department of neurology of a grade-Ⅲ hospital in Henan Province from July 2023 to June 2024 were selected as the investigation objects. Baseline data of patients were collected using the general situation questionnaire, stroke knowledge questionnaire, stroke health belief scale, stroke self-management behavior scale and self-rating depression scale. The self-management behavior level of patients was assessed at discharge, 1 month, 3 months and 6 months after discharge. Mplus 7.0 software was used to conduct trajectory analysis of stroke patients' self-management behaviors, and multiple Logistic regression analysis was used to analyze the influencing factors associated with the development trajectory types of different stroke self-management behaviors.Results:The self-management behavior scores of stroke patients at discharge, 1 month, 3 months and 6 months after discharge were 206.59(167.59, 230.57), 169.59(129.73, 196.73), 149.82(120.89, 171.48), and 147.14(123.02, 181.64), respectively. Four trajectory categories were described. Category 1 was low-level pattern of initial decrease followed by stabilization, accounting for 16.95%(81/478)( P<0.001, intercept=2.701). Category 2 was low-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept =2.696). Category 3 was medium-level pattern of initial decrease followed by stabilization, accounting for 57.11%(273/478)( P<0.001, intercept =3.829). Category 4 was high-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept=4.366). The self-management behavior of stroke patients with low level of stroke knowledge, low level of health belief, aged 60 to 70 years old, residence in rural areas and middle school and below education level were more likely to belong to the low level group(all P<0.05). Patients with low depression in the low level group were more likely to be classified as low-level pattern of initial decrease followed by increase( P<0.05). Conclusion:The trajectory category of self-management behavior could be predicted by stroke knowledge level, health belief level, age, place of residence, educational background and depression. Their self-management behavior level may be improved through targeted interventions according to the characteristics of different trajectory categories.

Objective:To understand the feelings and experiences of patients with dizziness caused by cerebrovascular diseases, and to provide a reference basis for the development of nursing intervention measures.Methods:Semi-structured interviews were carried out from November 2024 to February 2025 by phenomenology method. The patients with dizziness caused by cerebrovascular diseases who were hospitalized in the First Affiliated Hospital of Zhengzhou University were selected by purposive sampling method. The interview data were analyzed by the Colaizzi 7-step analysis method to summarize and extract the themes.Results:Finally, 16 patients with dizziness caused by cerebrovascular diseases were interviewed, including 6 males and 10 females, aged 43 to 73 years. The feeling and experience of patients with dizziness caused by cerebrovascular diseases could be summarized into three themes: persistent physical symptoms (physiological function imbalance, the superposition of multiple symptoms); patients had cognitive biases (symptom risk cognitive bias, symptom knowledge cognitive bias, drug effect cognitive bias); patients' self-perceived burden was obvious(physical burden, emotional burden, and economic burden).Conclusions:The patients with dizziness caused by cerebrovascular diseases show multi-dimensional characteristics, and there are many burdens and needs in physiological, psychological and social aspects. We should pay attention to the symptom experience and psychological feelings of such patients, and give targeted health education and multi-dimensional social support.

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Sepsis-induced cell lysis and necrosis lead to the passive release of mitochondrial DNA (mtDNA) and nuclear DNA (nDNA) into circulation. These DNAs bind to pattern recognition receptor (PRR), triggering excessive inflammatory cytokines production and increasing mortality. Three prime repair exonuclease 1 (TREX1) is a 3' to 5' exonuclease that rapidly degrades single-stranded DNA (ssDNA) and double-stranded DNA (dsDNA) by cleaving phosphodiester bonds. This process can prevent the accumulation of damaged DNA in the cytoplasm, thereby averting abnormal inflammation and pathological immune responses. TREX1 thus plays a significant role in regulating DNA-related damage caused by sepsis. However, the role and underlying mechanisms of TREX1 in sepsis have not been thoroughly discussed. This review aims to elucidate the structure and function of TREX1 and its mediated immune regulatory mechanisms, with the hope of clarifying the potential role of TREX1 in the field of sepsis.

?? [Abstract]? Objective? To explore the correlation between walking gait characteristics and fall fear in hemiplegic patients with acute ischemic stroke. Methods? 189 patients with hemiplegia after acute ischemic stroke treated in the First Affiliated Hospital of Zhengzhou University from March 2016 to March 2018 were selected as the research subjects. The patients were investigated by General Data Questionnaire, Single Item Fall Fear Assessment and Modified Fall Efficacy Scale(MFES). The gait parameters of patients were measured by gait analyzer to detect and analyze the correlation between gait characteristics and fall fear in hemiplegic patients with acute ischemic stroke. Results? Among 189 patients with hemiplegia after acute ischemic stroke, 123 (65.08%) were fearful of falling and 66 (34.92%) were not fearful of falling. The average score of items in Single Item Fall Fear Assessment in the patients with fear of falling were (7.64±1.63) and those without fear of falling were (9.01±1.33), the difference between the two groups was statistically significan(t P＜0.05). The step speed, step frequency, step length and standing phase in the fear of falling group were lower than those in the non-fear of falling group, and the step time and swing phase were higher than those in the non-fear of falling group with statistical difference(P＜0.05). Pearson correlation analysis showed that the step speed, step frequency, step length and standing phase were positively correlated with the MFES score(P＜0.05), and the step time and swing phase were negatively correlated with the MFES score (P＜0.05). Conclusions? Most of the hemiplegic patients with acute stroke have the fear of falling, and those who are afraid of falling are more likely to have abnormal gait, which indicates that those who are afraid of falling are more likely to fall, and need the attention of family members and medical staff.

Objective To investigate the effect of supine regulating on maternal fetal occiput posterior position during the delivery after epidural analgesia. Methods Totally600 cases of parturient with intravaginal posterior occipital position with 3cm voluntary labor analgesia were selected,who were born in Dalian maternity hospital from October 2015 to October 2016.The(Visual Analogue Scale/Score) VAS pain score at 15min after epidural labor analgesia was as effective as less than 3 points.They were randomly divided into the control group and the observation group by random number table method,with 300 cases in each group.The control group monitored parturient respiration, pulse, blood pressure, heart rate and fetal heart rate according to routine treatment.The control group monitored parturient respiration, pulse, blood pressure, heart rate and fetal heart rate according to routine treatment.In the observation group,except for routine treatment according to the labor process,after the opening of 5cm,the pregnant women were instructed to take the lateral prone position,so that the maternal side and the fetal side of the spinal column should be the same side. To observe the difference between the two groups in the rate of spontaneous vaginal delivery, delivery rate, cesarean section rate, fetal cardioversion rate, time of birth process and neonatal Apgar score. Results Totally 283 cases delivery through vagina and 17 cases of cesarean section in observation group,while 257 cases of vaginal delivery and 43 cases of cesarean section in the control group.The successful rate of fetal position transfer in the observation group was 74.6%(211/283) which was significantly higher than 45.9% (118/257) of the control group (Χ2=62.782, P<0.01), natural labor rate was also 87.3% (262/300) which increased significantly according to 64.7% (194/300) (Χ2=42.251, P<0.01),the rate of midwifery (7.0%, 21/300) and cesarean section (5.7%, 17/300) were significantly lower than 21.0% (63/300)and 14.3% (43/300) of the control group (Χ2=24.419, 12.519,P<0.01),the second stage of labor was(1.60±0.56)h which was significantly shortened than(2.19±0.53)h also(t=-12.589,P<0.01).In the observation group, the ratio of the posterior occipital position to the occipital transverse position after the opening of 8-10 cm and the complete dilation of the cervical were 7.4%(21/283)and 13.1%(37/283),which were also significantly increased than 3.4%(9/264),6.8%(18/264) of the control group (Χ2=4.240, 5.911, P<0.05). Conclusions Supine adjustment after the cervix dilatation larger than 5cm is more conducive to fetal rotation and to avoid the adverse complications, reduce the rate of vaginal delivery and cesarean section rate,improve the rate of natural childbirth,shorten delivery time,improve the quality of delivery.

Objective To detect the changes of G protein-coupled inwardly rectifying potassium channels (GIRK)expression in allergic asthma model and identify the regulatory factors.Methods The E3 rat asthma models were induced by challenge with ovalbumin 14 days after immunization with ovalbumin and aluminium adjuvant.The asthma models were evaluated based on changes in lung pathomorphology and total IgE levels.The levels of GIRK1-4 mRNA and protein were detected using real time-PCR and Western blot.The anatomic sites where GIRK was expressed dominantly in the lung were identified using immunohistological staining.To identify the effects of IL-4 on the expressions of GIRK channels,GIRK 1 -4 mRNA and protein in IL-4 stimulated bronchial epithelial cell line A549 were detected by RT-PCR and Western blot.Results The levels of GIRK1-4 mRNA and protein decreased significantly in the lung in asthmatic E3 rats.The results of immunohistological staining showed that GIRK channels were dominantly expressed in airway epithelia in the lung.The levels of GIRK 1-4 mRNA and protein were down-regulated in time-and dose-dependent manners in IL-4 treated A549.Conclusion IL-4 down-regulates the expression levels of GIRK subunits in bronchial epithelia during allergic asthma.

Objective To observe the effect of proanthocyanidin on the expression of nuclear factor kappa B (NF-кB) and interleukin-6 (IL-6) in rats with spinal cord injury (SCI). Methods 36 healthy adult Sprague-Dawley rats were randomly divided into proanthocyanidin treatment group (group A, n=12), methylprednisolone (MP) treatment group (group B, n=12) and model control group (group C, n=12). Allen's method was used to establish the model of acute spinal cord injury in T9. On the 1st, 3rd and 7th days after operation, 4 rats in each group were assessed with Basso-Beattie-Bresnahan (BBB) scale and Slanting Board Test (SBT), and the expression of NF-кB and IL-6 of the spinal cord were detected with immunohistochemistry. Results The scores of BBB and SBT were better in groups A and B than in the group C 3 and 7 days after SCI (P<0.05). Compared with group C, the expression of NF-кB in group A decreased all the time after SCI (P<0.01), and 3 and 7 days after SCI in group B (P<0.01); while the expression of IL-6 decreased all the time after SCI in groups A and B (P<0.05). Conclusion Proanthocyanidin may inhibit the expression of NF-кB and IL-6 in spinal cord after SCI in order to reduce inflammation and improve the hindlimb motor function in rats after SCI.