The interactions between microorganisms and medicinal plants are crucial to the quality improvement of medicinal plants. Medicinal plants attract microorganisms to colonize by secreting specific compounds and provide niche and nutrient support for these microorganisms, with a symbiotic network formed. These microorganisms grow in the rhizosphere, phyllosphere, and endophytic tissues of plants and significantly improve the growth performance and medicinal component accumulation of medicinal plants by promoting nutrient uptake, enhancing disease resistance, and regulating the synthesis of secondary metabolites. Microorganisms are also widely used in the ecological planting of medicinal plants, and the growth conditions of medicinal plants are optimized by simulating the microbial effects in the natural environment. The interactions between microorganisms and medicinal plants not only significantly improve the yield and quality of medicinal plants but also enhance their geoherbalism, which is in line with the concept of green agriculture and eco-friendly development. This study reviewed the research results on the interactions between medicinal plants and microorganisms in recent years and focused on the analysis of the great potential of microorganisms in optimizing the growth environment of medicinal plants, regulating the accumulation of secondary metabolites, inducing systemic resistance, and promoting the ecological planting of medicinal plants. It provides a scientific basis for the research on the interactions between medicinal plants and microorganisms, the research and development of microbial agents, and the application of microorganisms in the ecological planting of medicinal plants and is of great significance for the quality improvement of medicinal plants and the green and sustainable development of TCM resources.
Plants, Medicinal/metabolism* ; Bacteria/genetics* ; Symbiosis

Cervical spine health issues not only seriously affect patients' quality of life but also impose a heavy burden on the social healthcare system. Existing guidelines lack sufficient clinical guidance on lifestyle and work habits, such as exercise, posture, daily routine, and diet, making it difficult to meet practical needs. To address this, relying on the China Association of Chinese Medicine, Wangjing Hospital of China Academy of Chinese Medical Sciences took the lead and joined hands with more than ten institutions to form a multidisciplinary guideline development group. For the first time, the group developed the Guidelines for Cervical Spine Health Intervention based on evidence-based medicine methods, strictly following the standardized procedures outlined in the World Health Organization Handbook for Guideline Development and the Guiding Principles for the Formulation/Revision of Clinical Practice Guidelines in China (2022 Edition). This proposal systematically explains the methods and steps for developing the guideline, aiming to make the guideline development process scientific, standardized, and transparent.
Humans ; Practice Guidelines as Topic/standards* ; Cervical Vertebrae ; China

OBJECTIVE: To explore the correlation between single nucleotide polymorphisms (SNPs) of ARID5B gene and the risk of acute lymphoblastic leukemia (ALL) and minimal residual disease (MRD) in children of Hui and Han nationality in Ningxia. METHODS: In this case-control study, 54 ALL children and control group with matched age, sex and nationality were detected for the polymorphism of ARID5B gene using fluorescence resonance energy transfer technique, and the susceptibility of different ALL genotypes and their correlation with MRD were analyzed. RESULTS: There were no significant differences in genotype and allele frequency of rs10994982, rs7089424, rs10740055, rs7073837, rs4245595 and rs7090445 between the two groups (P >0.05). At the locus of rs10821936, the frequencies of T/T genotype and T allele in ALL group were significantly higher than those in the control group (both P < 0.05). The C/C genotype of ARID5B gene SNP rs10821936 was a risk factor for early MRD positive in ALL children ( P < 0.05). CONCLUSION ARID5B gene SNP rs10821936 is related to the development of childhood ALL and MRD.
Humans ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics* ; Polymorphism, Single Nucleotide ; Case-Control Studies ; Neoplasm, Residual/genetics* ; DNA-Binding Proteins/genetics* ; Transcription Factors/genetics* ; Genotype ; Genetic Predisposition to Disease ; Gene Frequency ; Child ; Male ; Female ; Alleles ; Risk Factors ; Child, Preschool

BACKGROUND: Prior studies have shown that drivers with type 2 diabetes are more likely to be involved in motor vehicle collisions (MVCs) compared to the general population. Certain meteorological factors have been increasingly recognized as contributors to MVC risk. This study aims to examine the association of MVCs with temperature, rainfall, wind speed, and sunshine duration among drivers with type 2 diabetes. METHODS: Using Taiwan's National Health Insurance data (2019-2021), we identified individuals diagnosed with type 2 diabetes and linked their records to the Police-Reported Traffic Accident Registry to obtain daily MVC counts. Meteorological data were sourced from the Central Weather Administration. Associations between daily weather conditions and MVCs were assessed using a Distributed Lag Non-Linear Model. RESULTS: Over the 1,096-day study period, 170,468 MVC events involving drivers with type 2 diabetes were recorded. A U-shaped association was observed between same-day temperature and MVC rates. Compared with the reference temperature of 17.5 °C, both lower temperatures (≤15 °C; rate ratio [RR] = 1.014-1.053) and higher temperatures (≥30 °C; RR = 1.062) were associated with increased MVC risk. Rainfall showed an inverse relationship with MVCs. Compared with 70 mm of rainfall, the lowest MVC rate occurred at 129 mm (RR = 0.873), while the highest was on rain-free days (0 mm; RR = 1.068). Stronger effects were observed when lag periods up to 14 days were considered. Wind speed and sunshine duration were not significantly associated with MVC risk. CONCLUSIONS These findings suggest that drivers with type 2 diabetes should exercise greater caution on days with extreme temperatures or in days with lesser rainfall, as these conditions may elevate MVC risk.
Humans ; Diabetes Mellitus, Type 2/epidemiology* ; Taiwan/epidemiology* ; Accidents, Traffic/statistics & numerical data* ; Male ; Middle Aged ; Female ; Weather ; Aged ; Adult ; Temperature ; Risk Factors

OBJECTIVE: To investigate the anti-tumor effects of cinobufacini (CINO) on hepatocellular carcinoma (HCC) induced by des-gamma-carboxy-prothrombin (DCP) and to uncover the underlying mechanisms. METHODS: The inhibitory effect of CINO on HCC cell proliferation was evaluated using the cell counting kit-8 method, and the apoptosis rate was quantified using flow cytometry. Immunofluorescence and Western blot analyses were used to investigate the differential expression of proteins associated with cell growth, apoptosis, migration, and invasion pathways after CINO treatment. The therapeutic potential of CINO for HCC was confirmed, and the possibility of combining cinobufacini with c-Met inhibitor for the treatment of primary HCC was further validated by in vivo experiments. RESULTS: Under the induction of DCP, CINO inhibited the activity of HCC cells, induced apoptosis, and inhibited migration and invasion. Upon the induction of DCP, CINO regulated c-Met activation and the activation of the phosphatidylinositol-3 kinase/protein kinase B (PI3K/AKT) and mitogen-activated protein kinase kinase/extracellular signal-regulated kinase (MEK/ERK) pathways. In a mouse model of HCC, CINO exhibited significant antitumor effects by inhibiting the phosphorylation of c-Met and the downstream PI3K/AKT and MEK/ERK pathways in tumor tissues. CONCLUSIONS CINO inhibited HCC cell growth, promoted apoptosis, and suppressed HCC cell invasion and migration by targeting c-Met and PI3K/AKT and MEK/ERK signaling pathways under DCP induction.
Carcinoma, Hepatocellular/drug therapy* ; Proto-Oncogene Proteins c-met/metabolism* ; Liver Neoplasms/drug therapy* ; Signal Transduction/drug effects* ; Animals ; Humans ; Cell Movement/drug effects* ; Apoptosis/drug effects* ; Cell Proliferation/drug effects* ; Amphibian Venoms/therapeutic use* ; Cell Line, Tumor ; Neoplasm Metastasis ; Cell Survival/drug effects* ; Proto-Oncogene Proteins c-akt/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Neoplasm Invasiveness ; Mice, Inbred BALB C ; Mice, Nude ; Mice ; Male ; Bufanolides/therapeutic use* ; Protein Precursors ; Prothrombin ; Biomarkers

Objective:To explore the clinical characteristics and prognostic risk factors of Mycoplasma pneumoniae pneumonia(MPP)in adults across different age groups,providing evidence for age-stratified management strategies.Methods:A retrospective analysis was conducted on 80 MPP patients admitted to the Respiratory Department of a hospital between January 2023 and December 2024.Patients were divided into three groups based on age:young adults(18-40 years),middle-aged adults(41-60 years),and elderly adults(≥ 61 years).Demographic features,clinical indicators,and mixed infections were analyzed.Univariate and multivariate Logistic regression were used to identify risk factors for disease severity.Results:The severity rate was significantly higher in the elderly group(41.2％)compared to the young adult group(7.1％)and middle-aged group(20.0％)(P=0.022).Elderly patients also exhibited significantly higher rates of underlying diseases(chronic lung disease:35.3％vs.3.6％in young adults),elevated inflammatory markers(C-reactive protein:68.3±19.5 mg/L vs.32.5±8.4 mg/L in young adults),mixed infections(52.9％vs.14.3％),and prolonged hospital stays(8.61±2.22 days vs.5.01±1.11 days)(P＜0.05).Multivariate analysis identified age(OR=1.79 per 10 years),chronic lung disease(OR=3.25),blood urea nitrogen ≥6 mmol/L(OR=2.44),and mixed infections(OR=4.26)as independent risk factors for severe MPP(P＜0.05).Conclusion:Clinical manifestations and prognoses of MPP in adults vary significantly across age groups.Elderly patients are characterized by high mixed infection rates,intense inflammatory responses,and renal function impairment,necessitating individualized monitoring and intervention strategies.

Objective:To analyze the risk factors for fat liquefaction after surgery for pediatric appendiceal abscess and to construct and validate a predictive model for post-operative fat liquefaction.Methods:The training set collected clinical data from 60 children who developed fat liquefaction after appendiceal abscess surgery and 60 children who did not develop fat liquefaction for comparison.The validation set collected data from 97 children during the same period ac-cording to the same criteria to test the model's efficacy.LASSO logistic regression was used to screen potential diag-nostic factors,and a Logistic regression model was employed for univariate analysis.Collinearity diagnostic tests were conducted among the risk factors.The stepwise regression method using the training dataset was applied to evaluate the importance of each risk factor for fat liquefaction.A multivariate Cox proportional hazards model was used to calcu-late the concordance index of the risk factors in both the training and validation sets.A predictive model was constructed using Logistic regression,and the clinical value of the predictive model was evaluated using ROC curves,calibration curves,and decision curves.Results:Compared with the non-liquefaction group,the liquefaction group had higher val-ues in terms of body weight,heart rate,diameter of the tender mass in the right lower abdomen,degree of appendiceal thickening,body temperature upon admission,fasting plasma glucose(FPG)level,surgical duration,intraoperative blood loss,wound healing time,length of hospital stay,volume of abdominal drainage fluid,and infection status(P<0.05).LASSO logistic regression analysis identified potential factors including body temperature upon admission,heart rate,body weight,diameter of the tender mass in the right lower abdomen,degree of appendiceal thickening,FPG level,sur-gical duration,and intraoperative blood loss.Univariate analysis revealed that body weight,diameter of the tender mass in the right lower abdomen,FPG level,surgical duration,and intraoperative blood loss were influencing factors for fat lique-faction after appendectomy(P<0.05).Body weight and FPG factors were mutually independent with no multicollinearity,while there was multicollinearity among the diameter of the tender mass in the right lower abdomen,surgical duration,and intraoperative blood loss.The risk model combining the diameter of the tender mass in the right lower abdomen,in-traoperative blood loss,FPG,surgical duration,and body weight had the highest concordance index in both the training and validation sets,with values of 0.811 and 0.814,respectively.The Logistic regression model established the predictive model as Logit(P)=-1.136+0.664×(diameter of the tender mass in the right lower abdomen)+0.449×(surgical duration)+0.622×(intraoperative blood loss)+0.200×(body weight)+0.578×(FPG).The area under the ROC curve was 0.920(95%CI:0.869～0.942),with a sensitivity of 93.14%and a specificity of 85.73%.The calibration curve of the predictive model showed good fit with the ideal curve.The predictive model had a high net benefit.Conclusion:Body weight,diameter of the tender mass in the right lower abdomen,FPG level,surgical duration,and intraoperative blood loss are risk factors for fat liquefaction after appendectomy and have good predictive value for the occurrence of fat liquefaction.

Objective:To examine the manifestations and causes of administrative burden among primary healthcare professionals,and to explore its impact on job burnout through the mediating role of role conflict,providing theoretical and empirical support for governance-level burden-reduction strategies.Methods:An exploratory sequential mixed-methods design was employed,focusing on primary healthcare professionals in Shandong Province.In the first phase,in-depth interviews were conducted with 175 participants;in the second phase,a questionnaire survey of 1,096 participants and follow-up interviews with 107 participants were carried out.Results:The proportions of respondents who reported"heavy"or"very heavy"burdens were 62.7%for inspection,54.8%for documentation,51.8%for reporting,and 24.4%for meetings.Structural equation modeling showed that administrative burden had a direct effect on job burnout(0.150)and an indirect effect through role conflict(0.093).Qualitative findings further indicated that administrative burden largely stemmed from public health traceability requirements and medical insurance policies,and operated through both resource-based and value-based conflicts.Conclusions:Primary healthcare professionals face considerable administrative burdens,which may heighten job burnout through role conflict.Governance reforms should optimize inspection and assessment,streamline data reporting,refine record-keeping,and promote collaborative governance to break the chain of institutional pressure leading to burnout.

Objective:To examine the manifestations and causes of administrative burden among primary healthcare professionals,and to explore its impact on job burnout through the mediating role of role conflict,providing theoretical and empirical support for governance-level burden-reduction strategies.Methods:An exploratory sequential mixed-methods design was employed,focusing on primary healthcare professionals in Shandong Province.In the first phase,in-depth interviews were conducted with 175 participants;in the second phase,a questionnaire survey of 1,096 participants and follow-up interviews with 107 participants were carried out.Results:The proportions of respondents who reported"heavy"or"very heavy"burdens were 62.7%for inspection,54.8%for documentation,51.8%for reporting,and 24.4%for meetings.Structural equation modeling showed that administrative burden had a direct effect on job burnout(0.150)and an indirect effect through role conflict(0.093).Qualitative findings further indicated that administrative burden largely stemmed from public health traceability requirements and medical insurance policies,and operated through both resource-based and value-based conflicts.Conclusions:Primary healthcare professionals face considerable administrative burdens,which may heighten job burnout through role conflict.Governance reforms should optimize inspection and assessment,streamline data reporting,refine record-keeping,and promote collaborative governance to break the chain of institutional pressure leading to burnout.

Objective:To analyze the risk factors for fat liquefaction after surgery for pediatric appendiceal abscess and to construct and validate a predictive model for post-operative fat liquefaction.Methods:The training set collected clinical data from 60 children who developed fat liquefaction after appendiceal abscess surgery and 60 children who did not develop fat liquefaction for comparison.The validation set collected data from 97 children during the same period ac-cording to the same criteria to test the model's efficacy.LASSO logistic regression was used to screen potential diag-nostic factors,and a Logistic regression model was employed for univariate analysis.Collinearity diagnostic tests were conducted among the risk factors.The stepwise regression method using the training dataset was applied to evaluate the importance of each risk factor for fat liquefaction.A multivariate Cox proportional hazards model was used to calcu-late the concordance index of the risk factors in both the training and validation sets.A predictive model was constructed using Logistic regression,and the clinical value of the predictive model was evaluated using ROC curves,calibration curves,and decision curves.Results:Compared with the non-liquefaction group,the liquefaction group had higher val-ues in terms of body weight,heart rate,diameter of the tender mass in the right lower abdomen,degree of appendiceal thickening,body temperature upon admission,fasting plasma glucose(FPG)level,surgical duration,intraoperative blood loss,wound healing time,length of hospital stay,volume of abdominal drainage fluid,and infection status(P<0.05).LASSO logistic regression analysis identified potential factors including body temperature upon admission,heart rate,body weight,diameter of the tender mass in the right lower abdomen,degree of appendiceal thickening,FPG level,sur-gical duration,and intraoperative blood loss.Univariate analysis revealed that body weight,diameter of the tender mass in the right lower abdomen,FPG level,surgical duration,and intraoperative blood loss were influencing factors for fat lique-faction after appendectomy(P<0.05).Body weight and FPG factors were mutually independent with no multicollinearity,while there was multicollinearity among the diameter of the tender mass in the right lower abdomen,surgical duration,and intraoperative blood loss.The risk model combining the diameter of the tender mass in the right lower abdomen,in-traoperative blood loss,FPG,surgical duration,and body weight had the highest concordance index in both the training and validation sets,with values of 0.811 and 0.814,respectively.The Logistic regression model established the predictive model as Logit(P)=-1.136+0.664×(diameter of the tender mass in the right lower abdomen)+0.449×(surgical duration)+0.622×(intraoperative blood loss)+0.200×(body weight)+0.578×(FPG).The area under the ROC curve was 0.920(95%CI:0.869～0.942),with a sensitivity of 93.14%and a specificity of 85.73%.The calibration curve of the predictive model showed good fit with the ideal curve.The predictive model had a high net benefit.Conclusion:Body weight,diameter of the tender mass in the right lower abdomen,FPG level,surgical duration,and intraoperative blood loss are risk factors for fat liquefaction after appendectomy and have good predictive value for the occurrence of fat liquefaction.