Objective To conduct preoperative simulations of three different osteotomy line design schemes under centric occlusion based on two distinct material assignment methods,evaluate biomechanical properties of the models,and explore which osteotomy line design schemes are more suitable for different types of mandibles.Methods Three types of mandibles were selected,and CT images were obtained for three-dimensional(3D)reconstruction.Material assignment was completed using the cortical/cancellous bone assignment method and the gray value assignment method.Osteotomy was simulated according to the three osteotomy line design schemes,followed by finite element analysis.Results In all simulation results of the mandibles,the maximum stress was 81.10 MPa,the maximum strain was 0.035 52,and the maximum displacement was 432.4 μm.The stress distributions obtained by the cortical/cancellous bone assignment method showed a larger stress distribution range than that that by the gray value assignment methods,but the maximum stress,strain,and displacement were generally lower.For the outflare type and common type mandibles,Scheme 1 showed lower maximum stress,strain,and displacement under both material assignment methods,but no clearly suitable scheme was found for the retracted type.Conclusions The outflare type and common type mandibles are more suitable for adopting the osteotomy line design scheme of Scheme 1.For the retracted type,other mandibular angle osteotomy plastic surgery methods may be considered to ensure better biomechanical characteristics.Whether choosing the osteotomy line design scheme or the modeling material assignment method,it is necessary to make the final decision based on the specific analysis objective and resource conditions.

Objective:To analyze serum inflammatory factors associated with antihistamine resistance in patients with chronic spontaneous urticaria (CSU) .Methods:A total of 88 CSU patients were enrolled from Guangzhou Dermatology Hospital from January 2022 to December 2024. All patients received antihistamine treatment according to the "Guideline for diagnosis and treatment of urticaria in China (2022) " . Based on the 7-day urticaria activity score (UAS7) after 4-week treatment, these patients were divided into an antihistamine-sensitive group and an antihistamine-resistant group. Serum levels of inflammatory factors at the initial visit were analyzed using the Olink-targeted proteomics technology. Specific biomarkers associated with antihistamine resistance were identified, and Spearman correlation analysis was carried out to analyze correlations among differentially expressed proteins. A logistic regression model was constructed based on the Olink proteomics data, and the predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis. Measurement data were expressed as mean ± standard deviation or median (lower quartile, upper quartile) .Results:The 88 CSU patients aged 12 to 81 (38.78 ± 13.89) years, with the disease duration being 18 (7.00, 60.00) months. There were 32 patients in the antihistamine-sensitive group and 56 in the antihistamine-resistant group. No significant differences were found between the two groups in terms of age, disease duration, gender, or history of allergic diseases (all P > 0.05) . After 4 weeks of antihistamine treatment, the UAS7 score was significantly higher in the antihistamine-resistant group (25.00 [15.25, 31.00] points) than in the antihistamine-sensitive group (0.50 [0.00, 4.00] points; Z = -7.08, P < 0.001) . The Olink-targeted proteomics identified 5 differentially expressed proteins between the two groups: compared with the antihistamine-sensitive group, the antihistamine-resistant group showed > 2-fold higher expression of fibroblast growth factor 19 (FGF19) , interleukin-15 receptor subunit alpha (IL-15RA) , eotaxin (CCL11) , and monocyte chemoattractant protein-1 (MCP-1) ; in contrast, the expression of sulfotransferase 1A1 (ST1A1) in the antihistamine-sensitive group was 2.54 times that in the antihistamine-resistant group. Among the differentially expressed proteins, MCP-1 showed the highest specificity (1.00) for predicting antihistamine resistance, followed by CCL11 (0.97) . Correlation analysis revealed a significant positive correlation between MCP-1 and CCL11, and a significant negative correlation between IL-15RA and ST1A1. ROC curve analysis showed that MCP-1 and CCL11 had area under the curve values of 0.603 and 0.630, respectively, in predicting antihistamine resistance. Conclusion:MCP-1 and CCL11 may be potential biomarkers for predicting antihistamine resistance in CSU patients.

Objective:To search, evaluate, and summarize evidence regarding strategies to promote pelvic floor muscle contraction (PFMC) function in postpartum women, providing a basis for clinical practice.Methods:A comprehensive search was conducted in computer decision support systems, guideline websites, relevant professional association websites, and English and Chinese databases for evidence related to strategies to promote PFMC function in postpartum women. The sources included guidelines, expert consensus, evidence summaries, systematic reviews, and original studies, with the search period from June 2014 to January 2025. Two researchers independently assessed the quality of the included articles and extracted data for the evidence summary.Results:A total of 24 articles were included: nine guidelines, five expert consensus, three evidence summaries, two systematic reviews, and five original studies. The evidence was summarized across four domains: screening and assessment, team building, intervention strategies, and outcome evaluation, resulting in 25 key pieces of evidence.Conclusions:This study summarizes the best evidence for strategies to promote PFMC function in postpartum women, providing scientific and rigorous evidence for clinical practice. It supports the development of effective training programs to enhance postpartum women's quality of life.

Objective:To evaluate the diagnostic value of coronary angiography-derived fractional flow reserve (FFR) and index of microcirculatory resistance (IMR) for identifying coronary functional abnormalities.Methods:This diagnostic study enrolled patients with clinically suspected or diagnosed coronary artery disease who underwent coronary angiography at Beijing Anzhen Hospital, TEDA International Cardiovascular Hospital, and Qilu Hospital of Shandong University between December 2021 and June 2022. All enrolled patients successfully underwent invasive wire-based FFR and IMR measurements during angiography. In a core laboratory, FFR and IMR for the target vessels were measured using artificial intelligence technology based on coronary angiographic images. Spearman correlation analysis was used to evaluate the correlation between angiography-derived FFR and wire-based FFR, and between angiography-derived IMR and wire-based IMR. Coronary hemodynamic abnormality was defined as FFR≤0.80; the diagnostic performance of angiography-derived FFR for identifying this abnormality was evaluated. Microcirculatory dysfunction was defined as IMR≥25; the diagnostic performance of angiography-derived IMR for identifying microcirculatory dysfunction was evaluated.Results:A total of 181 patients, aged (60.6±8.8) years, with 62 (34.3%) females, and 181 target vessels were included in the final analysis. Angiography-derived FFR showed a significant positive correlation with wire-based FFR ( r=0.78, P<0.001). For identifying coronary hemodynamic abnormality, angiography-derived FFR showed an accuracy of 89.0%, sensitivity of 88.8%, specificity of 89.1%, positive predictive value (PPV) of 88.8%, negative predictive value (NPV) of 89.1%, and an area under the receiver operating characteristic curve ( AUC) of 0.88. Angiography-derived IMR showed a significant positive correlation with wire-based IMR ( r=0.93, P<0.001). For identifying microcirculatory dysfunction, angiography-derived IMR demonstrated an accuracy of 89.5%, sensitivity of 86.8%, specificity of 90.2%, PPV of 70.2%, NPV of 96.3%, and an AUC of 0.95. Conclusion:Angiography-derived FFR and IMR exhibit strong correlations with their invasive wire-based counterparts and demonstrate high diagnostic value for assessing coronary hemodynamics and coronary microcirculatory function.

Objective:To analyze serum inflammatory factors associated with antihistamine resistance in patients with chronic spontaneous urticaria (CSU) .Methods:A total of 88 CSU patients were enrolled from Guangzhou Dermatology Hospital from January 2022 to December 2024. All patients received antihistamine treatment according to the "Guideline for diagnosis and treatment of urticaria in China (2022) " . Based on the 7-day urticaria activity score (UAS7) after 4-week treatment, these patients were divided into an antihistamine-sensitive group and an antihistamine-resistant group. Serum levels of inflammatory factors at the initial visit were analyzed using the Olink-targeted proteomics technology. Specific biomarkers associated with antihistamine resistance were identified, and Spearman correlation analysis was carried out to analyze correlations among differentially expressed proteins. A logistic regression model was constructed based on the Olink proteomics data, and the predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis. Measurement data were expressed as mean ± standard deviation or median (lower quartile, upper quartile) .Results:The 88 CSU patients aged 12 to 81 (38.78 ± 13.89) years, with the disease duration being 18 (7.00, 60.00) months. There were 32 patients in the antihistamine-sensitive group and 56 in the antihistamine-resistant group. No significant differences were found between the two groups in terms of age, disease duration, gender, or history of allergic diseases (all P > 0.05) . After 4 weeks of antihistamine treatment, the UAS7 score was significantly higher in the antihistamine-resistant group (25.00 [15.25, 31.00] points) than in the antihistamine-sensitive group (0.50 [0.00, 4.00] points; Z = -7.08, P < 0.001) . The Olink-targeted proteomics identified 5 differentially expressed proteins between the two groups: compared with the antihistamine-sensitive group, the antihistamine-resistant group showed > 2-fold higher expression of fibroblast growth factor 19 (FGF19) , interleukin-15 receptor subunit alpha (IL-15RA) , eotaxin (CCL11) , and monocyte chemoattractant protein-1 (MCP-1) ; in contrast, the expression of sulfotransferase 1A1 (ST1A1) in the antihistamine-sensitive group was 2.54 times that in the antihistamine-resistant group. Among the differentially expressed proteins, MCP-1 showed the highest specificity (1.00) for predicting antihistamine resistance, followed by CCL11 (0.97) . Correlation analysis revealed a significant positive correlation between MCP-1 and CCL11, and a significant negative correlation between IL-15RA and ST1A1. ROC curve analysis showed that MCP-1 and CCL11 had area under the curve values of 0.603 and 0.630, respectively, in predicting antihistamine resistance. Conclusion:MCP-1 and CCL11 may be potential biomarkers for predicting antihistamine resistance in CSU patients.

Objective:To evaluate the diagnostic value of coronary angiography-derived fractional flow reserve (FFR) and index of microcirculatory resistance (IMR) for identifying coronary functional abnormalities.Methods:This diagnostic study enrolled patients with clinically suspected or diagnosed coronary artery disease who underwent coronary angiography at Beijing Anzhen Hospital, TEDA International Cardiovascular Hospital, and Qilu Hospital of Shandong University between December 2021 and June 2022. All enrolled patients successfully underwent invasive wire-based FFR and IMR measurements during angiography. In a core laboratory, FFR and IMR for the target vessels were measured using artificial intelligence technology based on coronary angiographic images. Spearman correlation analysis was used to evaluate the correlation between angiography-derived FFR and wire-based FFR, and between angiography-derived IMR and wire-based IMR. Coronary hemodynamic abnormality was defined as FFR≤0.80; the diagnostic performance of angiography-derived FFR for identifying this abnormality was evaluated. Microcirculatory dysfunction was defined as IMR≥25; the diagnostic performance of angiography-derived IMR for identifying microcirculatory dysfunction was evaluated.Results:A total of 181 patients, aged (60.6±8.8) years, with 62 (34.3%) females, and 181 target vessels were included in the final analysis. Angiography-derived FFR showed a significant positive correlation with wire-based FFR ( r=0.78, P<0.001). For identifying coronary hemodynamic abnormality, angiography-derived FFR showed an accuracy of 89.0%, sensitivity of 88.8%, specificity of 89.1%, positive predictive value (PPV) of 88.8%, negative predictive value (NPV) of 89.1%, and an area under the receiver operating characteristic curve ( AUC) of 0.88. Angiography-derived IMR showed a significant positive correlation with wire-based IMR ( r=0.93, P<0.001). For identifying microcirculatory dysfunction, angiography-derived IMR demonstrated an accuracy of 89.5%, sensitivity of 86.8%, specificity of 90.2%, PPV of 70.2%, NPV of 96.3%, and an AUC of 0.95. Conclusion:Angiography-derived FFR and IMR exhibit strong correlations with their invasive wire-based counterparts and demonstrate high diagnostic value for assessing coronary hemodynamics and coronary microcirculatory function.

Objective To conduct preoperative simulations of three different osteotomy line design schemes under centric occlusion based on two distinct material assignment methods,evaluate biomechanical properties of the models,and explore which osteotomy line design schemes are more suitable for different types of mandibles.Methods Three types of mandibles were selected,and CT images were obtained for three-dimensional(3D)reconstruction.Material assignment was completed using the cortical/cancellous bone assignment method and the gray value assignment method.Osteotomy was simulated according to the three osteotomy line design schemes,followed by finite element analysis.Results In all simulation results of the mandibles,the maximum stress was 81.10 MPa,the maximum strain was 0.035 52,and the maximum displacement was 432.4 μm.The stress distributions obtained by the cortical/cancellous bone assignment method showed a larger stress distribution range than that that by the gray value assignment methods,but the maximum stress,strain,and displacement were generally lower.For the outflare type and common type mandibles,Scheme 1 showed lower maximum stress,strain,and displacement under both material assignment methods,but no clearly suitable scheme was found for the retracted type.Conclusions The outflare type and common type mandibles are more suitable for adopting the osteotomy line design scheme of Scheme 1.For the retracted type,other mandibular angle osteotomy plastic surgery methods may be considered to ensure better biomechanical characteristics.Whether choosing the osteotomy line design scheme or the modeling material assignment method,it is necessary to make the final decision based on the specific analysis objective and resource conditions.

Objective:To search, evaluate, and summarize evidence regarding strategies to promote pelvic floor muscle contraction (PFMC) function in postpartum women, providing a basis for clinical practice.Methods:A comprehensive search was conducted in computer decision support systems, guideline websites, relevant professional association websites, and English and Chinese databases for evidence related to strategies to promote PFMC function in postpartum women. The sources included guidelines, expert consensus, evidence summaries, systematic reviews, and original studies, with the search period from June 2014 to January 2025. Two researchers independently assessed the quality of the included articles and extracted data for the evidence summary.Results:A total of 24 articles were included: nine guidelines, five expert consensus, three evidence summaries, two systematic reviews, and five original studies. The evidence was summarized across four domains: screening and assessment, team building, intervention strategies, and outcome evaluation, resulting in 25 key pieces of evidence.Conclusions:This study summarizes the best evidence for strategies to promote PFMC function in postpartum women, providing scientific and rigorous evidence for clinical practice. It supports the development of effective training programs to enhance postpartum women's quality of life.

Polycyclic aromatic hydrocarbons (PAHs) are compounds with more than two benzene rings, widely exist in the environment, and can affect human health in various ways. Previous studies on the health effects of PAHs mainly focused on their carcinogenicity, teratogenicity, and effects on pulmonary diseases, cardiovascular diseases, etc. In recent years, increasing attention has been paid to the negative influence of PAHs to inflammatory skin diseases (especially psoriasis, atopic dermatitis, and lupus erythematosus). This review summarizes recent research advances in the role of PAHs in the occurrence and development of inflammatory skin diseases.

Objective To investigate the effects of qigong abdominal breathing training on human brain function.Methods Seventy-two university students were recruited and randomly divided into the control and treatment groups in a 1:1 ratio. Both the control and treatment groups underwent the same standing pile work operation. However,only the treatment group received additional abdominal breathing training. The intervention process comprised two phases:2 weeks of intensive training and 6 weeks of counseling training. Electrocardiogram and electroencephalogram (EEG) tests were performed before (baseline period) and after training respectively. Sample entropy algorithm and empirical mode decomposition were used to analyze the EEG signals. The sample entropy complexity index and the correlation between EEG changes and respiratory curves were calculated to explore the brain function regulation effect. Results The complexity of different brain regions in the treatment group was higher than that of the control group after training. A large difference was observed when comparing the brain complexity in the temporoparietal junction,posterior temporal,parietal,parietal-occipital junction,and occipital regions. The brain complexity in the posterior temporal region of the treatment group was significantly higher than that of the control group after the intervention,with a significant difference (P<0.05). In the control group,the brain complexity in the frontal pole,anterior temporal,frontal reion,frontal-temporal junction,frontal-central junction,middle temporal,central,and temporal-parietal junction regions decreased to different degrees. However,the comparison between before and after was not significant. Furthermore,brain complexity in the central-parietal junction,posterior temporal,parietal,parietal-occipital junction,and occipital regions increased to different degrees in the control group;however,the difference was not significant. The brain complexity of the treatment group in the frontotemporal junction,middle temporal,and temporoparietal junction areas decreased slightly;however,the before-and-after comparison was not significant. The brain complexity of the treatment group in the frontal pole,frontotemporal,frontal,frontal-central junction,central,central-parietal junction,posterior-temporal,parietal,parietal-occipital junction,and occipital areas increased. The posterior-temporal,parietal,parietal-occipital junction,and occipital areas had more significant increases than the other areas. However,the before-and-after comparison was not significant. In both groups,brain complexity decreased in the frontotemporal junction,middle temporal,and temporoparietal junction areas and increased in the parietal,parieto-occipital junction,and occipital areas. The comparison of complexity between the treatment and control groups in P3 and PO3 leads after training was significant. P3 and PO3 are situated in the parietal region and parieto-occipital junction areas,respectively,indicating that antebellum breathing also affects brain function in these regions. The correlation between the respiratory curve and EEG components was enhanced after training. Conclusion Abdominal breathing training can significantly increase the complexity of the corresponding brain regions (posterior temporal,parietal,and parieto-occipital junction regions),and a significant correlation was observed between the two.