AIM: To investigate the association between HOXA1 and FOXF2 gene variants and genetic susceptibility in multigenerational families with exotropia, and to elucidate the molecular genetic etiological mechanisms of exotropia.METHODS:A total of 10 multigenerational families with a definitive history of exotropia were recruited from September 2023 to February 2025, comprising 165 members(87 exotropia patients and 78 normal controls). Detailed ophthalmological examinations were performed, family pedigrees were constructed, peripheral blood samples were collected, genomic DNA was extracted, and PCR amplification followed by Sanger sequencing were used to detect exons and flanking sequences of the HOXA1 and FOXF2 genes. Identified variants were subjected to pathogenicity classification and association analyses.RESULTS:Among the 10 families, 5 variant sites in HOXA1(c.218G>A, c.385C>T, c.496A>G, c.652T>C, c.874C>T)and 4 in FOXF2(c.102C>T, c.344G>A, c.576T>C, c.892A>G)were identified. The HOXA1 c.496A>G variant showed statistically significant differences between carrier and noncarrier in exotropia angle, exotropia type, stereoscopic vision, and parallax(all P<0.05). The age of onset of FOXF2 gene c.344G>A mutation carrier group was younger than that of the non-carrier group(t=3.55, P=0.004).CONCLUSION:HOXA1 and FOXF2 gene variants are significantly associated with genetic susceptibility to exotropia, particularly influencing age of onset and deviation angle, offering novel targets for molecular diagnosis and precision treatment of exotropia.

Objective: To analyze the influencing factors of aggressive behaviors in high school students, rank the importance of relevant variables with visual presentation, so as to provide new references for developing intervention strategies. Methods: In December 2024, a convenience sampling method was used to select 5 330 students from 5 high schools in Wuhan for an online questionnaire survey. The survey included the Buss-Perry Aggression Questionnaire (BPAQ), Interaction Anxiety Scale (IAS), Emotion Regulation Ability Scale, Inventory of Parent and Peer Attachment (IPPA), and a self designed general information questionnaire. Variables were screened using LASSO regression, followed by multivariate Logistic regression analysis. The Random Forest model was then employed to rank and visualize variable importance. Results: Univariate analysis and LASSO regression results indicated that gender, emotion regulation capability, paternal attachment quality, maternal attachment quality, maternal parenting style, paternal parenting style, parenting consistency, monthly household income per capita, school climate, relationship with classmates, interaction anxiety, and academic ranking were all significant variables (all P <0.01). Multivariate Logistic regression analysis identified the following as influencing factors of aggressive behaviors in high school students: emotional management ability ( OR=0.38, 95%CI =0.34-0.43), gender ( OR=0.83, 95%CI =0.75-0.93), mother attachment quality ( OR=0.89, 95%CI = 0.74 -1.07), father attachment quality ( OR=0.76, 95%CI = 0.66- 0.87), interaction anxiousness ( OR=1.58, 95%CI =1.40- 1.78 ), consistency of parenting styles of parents ( OR=1.40, 95%CI =1.21-1.62), school atmosphere ( OR=1.50, 95%CI =1.14-1.98), academic performance ranking (upper middle: OR=0.76, 95%CI =0.61-0.93; middle: OR=0.70, 95%CI =0.57-0.86) were the influencing factors of aggressive behavior in high school students (all P <0.05). The results of Random Forest showed that emotional management ability was the most important factor affecting aggressive behavior in high school students. Conclusion Emotion regulation capability is identified as the core predictor of adolescent aggressive behaviors, which can significantly reduce the incidence of aggressive behaviors through enhanced emotion management.

Chemical communication in plant-microbiome and intra-microbiome interactions weaves a complex network, critically shaping ecosystem stability and agricultural productivity. This non-contact interaction is driven by small-molecule signals that orchestrate crosstalk dynamics and beneficial association. Plants leverage these signals to distinguish between pathogens and beneficial microbes, dynamically modulate immune responses, and secrete exudates to recruit a beneficial microbiome, while microbes in turn influence plant nutrient acquisition and stress resilience. Such bidirectional chemical dialogues underpin nutrient cycling, co-evolution, microbiome assembly, and plant resistance. However, knowledge gaps persist regarding validating the key molecules involved in plant-microbe interactions. Interpreting chemical communication requires multi-omics integration to predict key information, genome editing and click chemistry to verify the function of biomolecules, and artificial intelligence (AI) models to improve resolution and accuracy. This review helps advance the understanding of chemical communication and provides theoretical support for agriculture to cope with food insecurity and climate challenges.
Microbiota/physiology* ; Plants/microbiology* ; Artificial Intelligence ; Ecosystem

Objective To evaluate the risk of bias and reporting quality in randomized controlled trials(RCTs)of the Chinese medicine injection for acute cerebral infarction in the last five years.Methods RCTs literature on Chinese medicine injection in the treatment of acute cerebral infarction was systematically searched in CNKI,Wanfang Data,VIP,China Biology Medicine Database(CBM),PubMed,Embase and Cochrane Library from April 20,2018 to April 20,2023.The risk of bias and reporting quality of included RCTs were evaluated using the Cochrane Risk of Bias Tool(ROB 1.0)and CONSORT-CHM Formulas 2017,respectively.Results A total of 4 301 articles were retrieved,and 408 RCTs were included according to inclusion and exclusion criteria.The ROB evaluation results showed that the the majority of studies were rated as having an unclear risk of bias due to the lack of reporting on allocation concealment,blind method,trial registration information,and funding sources.The evaluation results of CONSORT-CHM Formulas 2017 showed that the number of reported papers of 17 items was greater than or equal to 50%,and the number of reported papers of 25 items was less than 10%,and most of the RCTs did not show the characteristics of TCM syndrome differentiation and treatment.Conclusion The quality of Chinese medicine injection in the treatment of acute cerebral infarction RCTs is generally low.It is recommended that researchers refer to the methodology design of RCTs and international reporting standards,improve the trial design,standardize the trial report,and highlight the characteristics of TCM syndrome differentiation and treatment.

Objective To establish an ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)method for determination of tobramycin in human serum,and examine the utility of the method in a clinical pharmacokinetic study of tobramycin inhalation.Methods Serum samples were pretreated by solid phase extraction with tobramycin-D12 as internal standard.Chromatographic separation was performed on a TitankHilic(2.1 mm × 100 mm,3 μm)column.The mobile phase consisted of0.1％formic acid-acetonitrile and 0.1％formic acid aqueous solution at a flow rate of 0.4 mL/min.Electrospray ionization source and multiple reaction monitoring(MRM)scanning were used for monitoring the quantitative ion pairs with m/z 468.3→m/z 163.3(tobramycin)and m/z 480.6→m/z 166.2(tobramycin-D12).The established method was investigated in terms of selectivity,interaction,concomitant medication,standard curve and lower limit of quantitation,precision and accuracy,recovery,matrix effect,and stability of tobramycinin.Results The linear range of tobramycin was 0.050 0-10.0 mg/L(R2=0.999 5).The intra-and inter-batch precision was satisfactory(coefficient of variation[CV]≤3.6％).The accuracy ranged from-0.4％to 6.0％.The matrix effect factor(MF)in human serum samples(including hemolysis and lipemia)ranged from 92.2％to 94.9％(CV≤2.7％).The recovery of tobramycinin was 79.5％-81.9％in serum samples,while the recovery of internal standard was 78.9％.The analyte was stable in serum samples for 72 h at room temperature and for 274 days at-20℃/-70℃.The pharmacokinetic study of tobramycin inhalation in bronchiectasis patients showed that after continuous administration of tobramycin 300 mg twice a day to 3 patients,the mean Cmax of tobramycin was(0.72±0.61)mg/L on Day 1 and(0.76±0.73)mg/L on Day 28,respectively.The corresponding Tmax was(1.83±0.61)h and(1.50±0.50)h,respectively.Conclusions The UPLC-MS/MS method established in this study is sensitive,accurate and rapid.It is successfully applied to the clinical pharmacokinetic study of tobramycin inhalation.The method may be suitable for therapeutic drug monitoring of tobramycin in clinical practice.

Purpose/Significance To study the typical characteristics of urban residents when they choose internet medical services,and to establish patient behavior portraits,so as to provide decision-making basis for improving internet medical services.Method/Process Taking patients in Beijing as the research object,patient group portraits are constructed from three dimensions:individual attrib-ute characteristics,online consultation behavior and medical demand preference,and online patient groups are classified by the clustering method.Result/Conclusion Online patients are classified into five distinct groups:value potential,platform loyalty,potential conver-sion,strong demand,and service transfer.Overall,online patients from major cities tend to have lower case severity and lower levels of activity.They typically prefer lower-cost text-based consultations and show a preference for doctors from top-tier hospitals with higher professional titles and superior online service quality.These five different patient groups possess their own typical characteristics,and specific measures need to be taken to meet their personalized medical needs.

OBJECTIVE To provide a detailed report and interpretation of the method and results for determining the weights of the technical indicators from the “multi-dimensional and multi-criteria comprehensive evaluation index system （first edition）” stated in Guideline for Multi-dimensional and Multi-criteria Comprehensive Evaluation of Chinese Patent Medicine. METHODS Normalization calculations were performed on the comprehensive weight values calculated by the analytic hierarchy process and expert weighting method to obtain the objective weights of the indicators. RESULTS The weight results of the six primary dimensions in the current comprehensive evaluation indicator system of Chinese patent medicine showed effectiveness dimension＞ safety dimension＞standard dimension＞application dimension＞scientific dimension＞economic dimension， with weight values of 0.281 0， 0.268 5， 0.195 8， 0.107 3， 0.096 1 and 0.051 3 respectively， consistent with the results of most researches currently. CONCLUSIONS The process of weight determination in this indicator system is scientifically reasonable， with clear methods and clear interpretations， and is worthy of further optimization and widespread application.

The irrational use of Chinese patent medicines （CPM） is becoming more and more prominent， which makes the demand for clinical practice guidelines of CPM gradually increase. In order to make domestic scholars understand the latest developments and existing problems of the CPM guidelines， and promote its development， this paper introduced the concept of CPM guidelines， summarized the characteristics of the two development modes， namely “taking CPM as the key” and “taking disease/syndrome as the key”， and analyzed the current methodological status of developing and reporting CPM guidelines. Based on the existed problems， three suggestions have been put forward to optimize the quality of CPM guidelines， which were clarifying the target users and scope of CPM guidelines， establishing an open and transparent mechanism of the personnel involvement and process steps， and formulating implementable and operable recommendations for the use of CPM.

This paper summarized the key points and methods in terms of the establishment of the guideline working group and the management of conflict of interests， trying to provide reference for the development of clinical practice guidelines for Chinese patent medicine （CPM）. The establishment of the working group is the first important step for developing CPM guidelines. Considering the characteristics of the clinical practice guidelines for CPM， this study suggests that the three key elements of ‘multidisciplinarity’， ‘clinical relevance’ and ‘geographical representativeness’ should be put focus on when forming the working group. The guideline advisory committee， clinical expert group， evidence systematic evaluation group， secretary group and the external review group should be established. All group members should clarify the conflict of interest， and the process and management method of the conflict of interest should be clearly reported.

The identification of clinical questions for clinical practice guidelines of Chinese patent medicine （CPM） is important for subsequent evidence retrieval， evaluation of evidence quality， formation of recommendations. This paper described a methodological proposal for the identification of clinical questions for CPM guidelines to highlight the characteristics of Chinese patent medicine and reflect its effect in specific stage of the disease. Considering four aspects， namely， the drug of Chinese patent medicine （D）， the specific disease stage （S）， comparison （C）， and specific outcome （O）， DSCO framework has been proposed to formulate the clinical questions. Multi-source information through scientific research， policy or standard documents， and clinical data are suggested for collecting clinical questions， and clear selection criteria should be set to finalize the clinical questions to be addressed by the guideline. In addition， the above process needs to be transparently and publicly reported in order to ensure the clarity and completeness of the guidelines.