Inflammation is involved in the development of various acute and chronic diseases in the body. Sustained inflammatory responses are key driving factors for diseases such as cancer， neurodegenerative diseases， cardiovascular diseases， metabolic syndrome， inflammatory bowel disease， and arthritis. Therefore， finding anti-inflammatory drugs is crucial for the prevention and treatment of various diseases. In recent years， there has been increasing attention to finding natural drugs with minimal toxic side effects. Lonicerae Japonicae Flos and Lonicerae Flos， as traditional Chinese medicines potent in clearing heat and removing toxins， have strong biological activity and multiple pharmacological effects. They are widely distributed in the plant world and have significant medicinal value. With the continuous advancement of the research on Lonicerae Japonicae Flos and Lonicerae Flos， they have been widely used in the medical field and possess great development potential. Currently， research mainly focuses on the anti-inflammatory mechanisms of Lonicerae Japonicae Flos and Lonicerae Flos， while systematic summaries of their anti-inflammatory active ingredients are rare. Therefore， this paper focuses on the differential analysis of the anti-inflammatory active components of Lonicerae Japonicae Flos and Lonicerae Flos. In addition， it reviewed the possible mechanisms by which extracts and active ingredients of Lonicerae Japonicae Flos and Lonicerae Flos may exert anti-inflammatory effects through various pathways， such as influencing the release of cellular inflammatory factors， regulating inflammatory signaling pathways such as nuclear factor-κB （NF-κB）， mitogen-activated protein kinase （MAPK）， signal transducer and activator of transcription 3 （STAT3）， MAPK/extracellular signal-regulated kinase （ERK）/c-Jun N-terminal kinase （JNK）， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/NF-κB， and Janus kinase （JAK）/signal transducer and activator of transcription （STAT） signaling pathways， increasing antioxidant stress capacity， enhancing immune defense capabilities， and improving intestinal microbiota， aiming to provide a theoretical basis for the rational clinical application of Lonicerae Japonicae Flos and Lonicerae Flos.

Objective:To establish UPLC fingerprint method and 2 contents determination methods of Buddleja officinalis; To provide a reference for improving the quality control standard and evaluation of Buddleja officinalis from different habitats.Methods:UPLC method was used to establish the fingerprints of 17 batches of Buddleja officinalis. The similarity evaluation, clustering analysis, principal component analysis and orthogonal partial least squares discriminant analysis were used to compare the quality differences of Buddleja officinalis from different habitats. The contents of acteoside and linarin in Buddleja officinalis were determined.Results:There were 12 common peaks in UPLC fingerprints of Buddleja officinalis, six of which were identified as echinacoside, acteoside, cynaroside, isoacteoside, linarin, and apigenin. The fingerprint similarity of 17 batches of Buddleja officinalis was more than 0.9; Buddleja officinalis from different habitats were classified into 2 groups. Five differential markers were determined by OPLS-DA analysis. The order of significance was acteoside > peak 3 > echinacoside > isoacteoside > linarin. Edgeworthia chrysantha was identified by the method of fingerprint as counterfeit. The results of content determination showed that the content of Buddleja officinalis in Hubei and Sichuan was the high and stable.Conclusion:The method can effectively analyze the differences of Buddleja officinalis from different habitats, and provide reference for the quality control of Buddleja officinalis.

BackgroundDiabetes distress is highly prevalent and has adverse impacts in adolescent patients with type 1 diabetes. However， the related factors of diabetes distress in adolescents with type 1 diabetes are not clear. ObjectiveTo identify the factors associated with diabetes distress in adolescents with type 1 diabetes using Meta-analysis， and to provide a scientific evidence for effective prevention and improvement of diabetes distress in adolescents with type 1 diabetes. MethodsOn December 1， 2022， a computerized search was conducted on databases including PubMed， Cochrane Library， Web of Science， Embase， CNKI， Wanfang Data， VIP and China Biomedical Literature Database， and studies relevant to diabetes distress in adolescents with type 1 diabetes were systematically included. Quality assessment of cross-sectional and cohort studies was carried out using criteria defined by the Agency for Healthcare Research and Quality （AHRQ） and Newcastle-Ottawa Scale （NOS）. Then the included studies were pooled in a Meta-analysis using Revman 5.3. ResultsA total of 22 studies were included， involving 6 442 adolescents with type 1 diabetes. Meta-analysis denoted that the occurrence of diabetes distress among adolescents with type 1 diabetes was correlated with age （r=0.094，95% CI： 0.042~0.145）， HbA1c （r=0.291， 95% CI： 0.248~0.335）， trait anxiety （r=0.585， 95% CI： 0.526~0.639）， depressive symptoms （r=0.635， 95% CI： 0.590~0.676）， resilience （r=-0.410， 95% CI： -0.528~-0.276） and parents' diabetes distress （r=0.462， 95% CI： 0.421~0.501）. ConclusionFactors including age， HbA1c， trait anxiety， depressive symptoms， resilience and parents' diabetes distress are correlated with diabetes distress in adolescents with type 1 diabetes. ［Funded by Sichuan Science and Technology Program （number， 24KJPX0034）］

Objective To compare the efficiency of nomogram and different machine learning algo-rithms for constructing the dental caries predictive models for middle-aged and elderly people.Methods The multi-stage stratified random sampling method was used to select 510 middle-aged and elderly people from Nanning City,Guigang City and Chongzuo City as the research subjects for conducting the questionnaire sur-vey and oral cavity examination.The univariate analysis and Lasso regression were used to screen the related variables,and the multivariate logistic regression analysis was used to determine the final independent influen-cing factors.Based on the salient features,the nomogram predictive model was established,and the seven ma-chine learning algorithms,including linear discriminant analysis (LDA),partial least squares (PLS),range Doppler algorithm (RDA),generalized linear models (GLM),random forest (RF),support vector machine (SVM) kernel function (SVM-Radial),and SVM linear kernel function (SVM-Linear),were used to construct the seven kinds of dental caries risk predictive models.The area under the receiver operating characteristic (ROC) curve (AUC) was adopted to evaluate the predictive performance of various models and the predictive performance of models constructed using different variable screening methods.Results The detection rate of dental caries in middle-aged and elderly people was 71.18％.After feature screening,the five predictive factors were ultimately retained,which were the age (OR=0.945,95％CI:0.917-0.973),brushing frequency (OR=0.688,95％CI:0.475-0.997),whether having teeth cleaning in the past one year (OR=0.303,95％CI:0.103-0.890),number of remaining teeth (OR=1.062,95％CI:1.038-1.087) and oral health assess-ment tool (OHAT) score (OR=1.363,95％CI:1.234-1.505).The results of comparison of various models showed that the predictive model constructed by the RF algorithm performed the best,the median of AUC was 0.747,followed by the nomogram,and the median of AUC was 0.733.The median of AUCs in the predic-tion model constructed by single factor+Lasso+multivariate logistic (Lasso+logistic) screening independent variables were higher than those constructed by RF algorithm screening independent variables.ConclusionBased on Lasso+logistic screening variables,RF provide more reliable predictive efficiency in predicting dental caries in middle-aged and elderly people than nomogram and the other machine learning algorithms.

Objective:To establish HPLC fingerprints of Aristolochia contorta and honey-processed Aristolochia contorta; To analyze the changes of chemical components before and after honey processing with multivariate statistics; To provide a reference for the study on the toxicity reduction of Aristolochia contorta.Methods:The fingerprints of 11 batches of Aristolochia contorta and honey-processed Aristolochia contorta were established through HPLC. Clustering analysis (HCA), principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and independent sample t-test were used to compare the changes of chemical components of Aristolochia contorta before and after honey processing.Results:The results showed that there were 14 common peaks in the fingerprints of Aristolochia contorta and Aristolochia contorta. 7 common peaks were identified. Both HCA and PCA could clearly distinguish the samples of Aristolochia contorta before and after honey processing. OPLS-DA found and screened 7 differential markers, and the order of difference significance was peak 3 > peak 7 (7-hydroxy aristolochic acid A) > peak 5 (aristolochic acid C)> peak 8 (aristolochic acid D) > peak 6 > peak 2 (Magnolia alkaloid) > peak 14 (aristolochic acid Ⅰ). After honey processing, the content of chemical components represented by peaks 2, 3, 5, 6, 7, 8 and 14 decreased ( P<0.05). Conclusion:This method is simple and specific, which can be used for the fingerprint analysis of Aristolochia contorta and honey-processed Aristolochia contorta, and can effectively distinguish Aristolochia contorta and honey-processed Aristolochia contorta, and provide a reference for the processing research of toxicity reduction of Aristolochia contorta honey processing.

Objective:To establish the ultra-high performance liquid chromatography (UPLC) fingerprint and high performance liquid chromatography (HPLC) content determination method of Curcumae Radix standard decoction; To predict the quality markers of Curcumae Radix standard decoction combined with network pharmacology.Methods:UPLC method was used to establish the fingerprint of Curcumae Radix standard decoction, and the common peaks were determined. Combined with chemical pattern recognition techniques such as similarity analysis and clustering analysis, Curcumae Radix standard decoction from different producing areas was studied, and curcumol was used as an index to determine the content of 24 batches of Curcumae Radix standard decoction. At the same time, network pharmacology was used to predict potential of curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one.Results:A total of 24 batches of Curcumae Radix standard decoction from different habitats were compared and analyzed, and 10 common peaks were calibrated. The similarity of 24 batches of samples ranged from 0.982 to 0.999. Clustering analysis and principal component analysis divided them into three categories. Heat map analysis showed that peak 8 (curcumol) and peak 9 ((1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one) were the main components. The content of curcumol in 24 batches of Curcumae Radix standard decoction was 0.69-1.87 mg/g; curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β- (3-oxobutyl) bicyclo [4.1.0] heptan-3-one may regulate the neuroactive ligand-receptor interaction signaling pathway, calcium signaling, and excitation by regulating neuroactive ligand-receptor interaction signaling pathway, calcium signaling, and excitation. It was preliminarily predicted that curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one were potential quality markers of Curcumae Radix.Conclusion:Curcumol and (1S, 6β)-1β-Methyl-4-(1-methylethylidene)-7β-(3-oxobutyl) bicyclo [4.1.0] heptan-3-one are potential quality markers of Curcumae Radix standard decoction, and the established fingerprint can be used for the quality control of Curcumae Radix standard decoction.

Objective To investigate the application value of slice encoding for metal artifact correction-view angle tilting(SEMAC-VAT)in chronic hip pain after total hip arthroplasty(THA).Methods A total of 22 patients who underwent TH A and required MRI reassessment for chronic hip pain were enrolled.All patients underwent coronal and axial short time inversion recovery(STIR)and SEMAC-VAT sequence scans.The prosthesis and surrounding artifact areas of STIR sequence and SEMAC-VAT sequence images were measured respectively.Likert scores were assigned to evaluate prosthesis clarity and visibility of surrounding anatomical structures.The number of abnormal lesions detected was recorded.Paired t-test and rank-sum test were used for comparisons between groups.Results Among the 22 patients,the mean prosthesis and surrounding artifact areas measured in coronal and axial STIR sequences were(73.08±11.28)cm2 and(34.36±8.47)cm2,respectively.For SEMAC-VAT sequences,the corresponding values were(44.30±8.41)cm2 and(23.08±5.85)cm2,respectively.These differences were statistically significant(t=13.942,8.659,P＜0.05).SEMAC-VAT sequences had higher Likert scores on coronal and axial prosthesis clarity and surrounding anatomical structures visibility than STIR sequences(P＜0.05).Additionally,SEMAC-VAT sequences were more effective in detecting abnormal lesions than STIR sequences(P＜0.05).Conclusion Compared to STIR sequences,SEMAC-VAT sequences significantly reduce metal artifacts and enhance image quality in the assessment of chronic hip pain after THA.This technique is advantageous in detecting more positive signs,facilitating the evaluation of hip images in patients with chronic pain after TH A,and subsequently clarifying the etiology of pain.

Objective:To standardize the management of auditory hallucination symptoms in inpatients with mental illness and develop an expert consensus on the management of auditory hallucinations in hospitalized psychiatric patients.Methods:From March 2023 to July 2023, the Mental Health Committee of the Chinese Nursing Association focused on the key issues in the management of auditory hallucinations symptoms in inpatients with mental illness, based on clinical practice, using literature analysis combined with the work experience of mental health experts, and formed the first draft of the expert consensus on the management of auditory hallucinations in inpatients with mental illness (hereinafter referred to as the consensus). Through 3 rounds of expert consultation and 3 rounds of expert demonstration meeting, the draft was adjusted, revised, and improved.Results:37 experts were included in the Delphi expert consultation, 1 male and 36 females with 39-67(51.48 ± 6.61) years old. The positive coefficients of experts in 3 rounds of Delphi expert consultations were all 100%, and the degrees of expert authority were 0.924, 0.938 and 0.949, respectively. The average importance value of each item was higher than 4.00, the variation coefficient of each item was less than 0.25. The Kendall harmony coefficient of the experts were 0.179, 0.195 and 0.198, respectively (all P<0.05). There were 15, 12, 12 experts in the first, seeond, third rounds of expert demonstration meeting. Finally, a consensus was reached on the recommendation of 4 parts, included auditory hallucination assessment, management format, symptom management implementation, and precautions. Conclusions:The consensus covers all parts of the management of auditory hallucination symptoms in hospitalized patients with mental disorders, which is practical and scientific. It is helpful to guide mental health professionals to standardize the management of auditory hallucination symptoms, improve the quality of nursing and ensure the safety of patients.

Vaginal birth after cesarean (VBAC) can reduce the cesarean section rate and has many benefits for both mother and infant. Decision-making aids can promote communication between doctors and patients regarding childbirth methods and increase pregnant women's informed consent and decision-making participation in VBAC, thereby supporting pregnant women in making choices and improving the quality of childbirth decisions. This article summarizes the content of VBAC decision-making aids, evaluation of different VBAC decision-making aids, application of VBAC decision-making aids, and obstacles to the application of VBAC decision-making aids in China to provide reference for the development and application of domestic childbirth decision-making aids.

Objective:To conduct systematic review of mother-infant attachment measurement tools based on Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) guidelines.Methods:The researches on mother-infant attachment measurement tools in PubMed, Scopus, Embase, Web of Science, China Biology Medicine disc, China National Knowledge Infrastructure, WanFang Data and VIP was searched by computer, and the search period was from establishment of the databases to October 30, 2023. Two reviewers trained in evidence-based methodology independently screened the literature, extracted and summarized the data, and systematically evaluated the attributes of the measurement tools using the COSMIN guideline bias risk list and good measurement attribute standards.Results:A total of 35 studies were included, including seven maternal-infant attachment measurement tools. Among them, the content validity quality of the Maternal-fetal Attachment Tool was sufficient (evidence quality was advanced), the structural validity quality was uncertain (evidence quality was intermediate), the internal consistency quality was sufficient (evidence quality was advanced) and the hypothesis testing quality was sufficient (evidence quality was advanced), which was recommended at level A.Conclusions:This study systematically evaluates seven measurement tools for maternal-infant attachment, among which the Maternal-fetal Attachment Tool is class A tool and is recommended for use.