The prevalence of summer endogenous fever is closely related to the climate of summer.Based on Li Dongyuan's yin-fire theory,this article proposed that summer-heat,irregular diet,excessive consumption of cold foods,poor living habits,and summer damp-heat internal invasion damaging the spleen can all lead to the generation of yin-fire,thereby causing endogenous fever.The core pathogenesis of summer endogenous fever lies in spleen deficiency with yang collapse,which results into the blockage of qi movement and the production of yin-fire.The yin-fire persists throughout the entire course of the disease.Treatment of summer endogenous fever should focus on eliminating yin-fire,primarily by addressing the spleen via boosting qi and raising yang to restore the spleen's ascending and stomach's descending functions,thereby dispersing yin-fire.Clearing heat and resolving dampness can purge yin-fire and then the spleen qi's circulation is restored.By analyzing the pathological changes of dampness accumulation into phlegm,fire-heat damaging yin and liver stagnation with kidney deficiency,the disease progression can be predicted.Correspondingly,comprehensive therapy of resolving phlegm,nourishing yin,soothing liver,and tonifying kidney can be employed to prevent further deterioration.Based on Li Dongyuan's yin-fire theory,Shengyang Yiwei Decoction(mainly composed of Astragali Radix,Pinelliae Rhizoma,Ginseng Radix et Rhizoma,Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Angelicae Pubescentis Radix,Saposhnikoviae Radix,Paeoniae Radix Alba,Notopterygii Rhizoma et Radix,Citri Reticulatae Pericarpium,Poria,Bupleuri Radix,Alismatis Rhizoma,Atractylodis Macrocephalae Rhizoma,and Coptidis Rhizoma)can be used as a fundamental prescription to treat summer endogenous fever caused by yin-fire,with modifications tailored to specific clinical presentations.This theoretical exploration may provide a reference for the clinical management of summer endogenous fever.

Objective:This study aims to explore whether there are specific behavioral deficits of response inhibition and emotional processing in patients with checking obsessive-compulsive disorder (OCD) and those with washing OCD.Methods:A cross-sectional study was conducted from January 2020 to December 2022, collecting clinical data from 75 OCD patients at the outpatient psychological consultation clinic of Xiangya Second Hospital and the clinical psychology department of Hunan Brain Hospital. The sample included 40 OCD patients with checking type (checking group, 24 males, 16 females, aged 14-34 years, mean age 22.1±5.0 years) and 35 OCD patients with washing type (washing group, 12 males, 23 females, aged 14-41 years, mean age 22.6±6.7 years). An age-matched healthy control group (control group) of 80 individuals (HCs, 37 males and 43 females, aged 14-25 years, mean age 20.8±1.9 years) was also recruited. All participants completed the Go/No-go task and Hariri task with behavioral data recorded. The Dimensional Yale-Brown Obsessive-Compulsive Scale was used to assess the severity of OCD symptoms. The Center for Epidemiologic Studies Depression Scale (CES-D) and State Anxiety Inventory (STAI) were used to assess the severity of depression and anxiety. A 3 (group: checking OCD, washing OCD and HC)×2 (task type: Go vs. No-go/Shape vs. Face) repeated-measures ANOVA was conducted to compare the behavioral performance across tasks.Results:Compared with HC group, both checking OCD group and washing OCD group had significantly higher scores in depression and anxiety ( F=85.43, 32.33,both P<0.05). When performing Go/No-go task, a significant group×task interaction effect was observed ( F3(2, 152)=3.23, P3=0.042, partialη32=0.04). In the checking OCD group, No-go accuracy was significantly lower than Go accuracy (accuracy=0.821 vs. 0.893, P<0.001); the checking OCD had significantly lower accuracy than HC in the No-go task (accuracy=0.821 vs. 0.876, P=0.005); there were no significant group differences between the washing OCD and HC in the No-go task ( P>0.05). When performing Hariri task, a significant group×task interaction effect was found ( F3(2, 152)=4.91, P3=0.009, partial η32=0.06). The washing OCD group showed significantly lower accuracy in matching emotional faces than the control group (0.879 vs. 0.936, P=0.001), whereas the checking OCD group showed no significant difference from the HC ( P>0.05); there were no significant group differences in shape matching task ( P>0.05). The accuracy of shape matching task was significantly higher than face matching task in the three groups (shape: checking OCD=0.936,washing OCD=0.929,HC=0.943; face:checking OCD=0.877,washing OCD=0.844,HC=0.917;all P>0.05). Conclusions:Checking OCD and washing OCD exhibit distinct behavioral impairment patterns in response inhibition and emotional processing. Checking-type OCD is primarily characterized by impaired response inhibition, whereas washing-type OCD is mainly associated with deficits in emotion processing.

Purpose To evaluate the predictive performance of mean apparent propagator-magnetic resonance imaging(MAP-MRI)combined with habitat analysis for determining O6-methylguanine-DNA methyltransferase(MGMT)promoter methylation status in glioma.Materials and Methods This retrospective study analyzed MRI and clinical data from 55 patients with surgically confirmed glioma at Fujian Medical University Union Hospital from January 2019 to December 2023.All patients underwent structural and diffusion-weighted imaging.Three-dimensional volumes of interest were delineated in the tumor solid region using ImageJ software.The nn-FAE tool was used to segment the tumor solid region into two habitat subregions based on mean diffusivity(MD)maps:high-MD and low-MD habitats.Average diffusion parameter values were extracted from the entire tumor solid region and each habitat subregion.Differences in parameters between methylated and unmethylated groups were compared,and the area under the curve was calculated.Results Among 55 patients,significant differences were observed in all MAP-MRI parameters and MD in the tumor solid region and low-MD habitat,as well as all parameters in the high-MD habitat between methylated and unmethylated groups(t/Z=-3.780-3.153,all P<0.05).The return-to-origin probability(RTOP)in the low-MD habitat demonstrated the highest diagnostic performance,with the area under the curve improving from 0.771 before habitat analysis to 0.827 after habitat analysis.In the high-grade subgroup,significant differences were observed in return-to-axis probability(RTAP)and RTOP in the tumor solid region;RTOP,non-Gaussianity,non-Gaussianity axial,and RTAP in the low-MD habitat;and non-Gaussianity in the high-MD habitat(t/Z=-2.820--1.976,all P<0.05).RTOP in the low-MD habitat again showed optimal diagnostic efficacy(the area under the curve 0.725 before habitat analysis,0.798 after).Multivariate analysis identified RTAP and RTOP in the tumor solid region and low-MD habitat as independent predictors of MGMT methylation.Conclusion MAP-MRI diffusion parameters demonstrate the ability to predict MGMT promoter methylation status in glioma,with superior performance compared with diffusion tensor imaging.Habitat imaging further enhances the predictive efficacy of MAP-MRI parameters for MGMT promoter methylation.

Purpose To evaluate the predictive performance of mean apparent propagator-magnetic resonance imaging(MAP-MRI)combined with habitat analysis for determining O6-methylguanine-DNA methyltransferase(MGMT)promoter methylation status in glioma.Materials and Methods This retrospective study analyzed MRI and clinical data from 55 patients with surgically confirmed glioma at Fujian Medical University Union Hospital from January 2019 to December 2023.All patients underwent structural and diffusion-weighted imaging.Three-dimensional volumes of interest were delineated in the tumor solid region using ImageJ software.The nn-FAE tool was used to segment the tumor solid region into two habitat subregions based on mean diffusivity(MD)maps:high-MD and low-MD habitats.Average diffusion parameter values were extracted from the entire tumor solid region and each habitat subregion.Differences in parameters between methylated and unmethylated groups were compared,and the area under the curve was calculated.Results Among 55 patients,significant differences were observed in all MAP-MRI parameters and MD in the tumor solid region and low-MD habitat,as well as all parameters in the high-MD habitat between methylated and unmethylated groups(t/Z=-3.780-3.153,all P<0.05).The return-to-origin probability(RTOP)in the low-MD habitat demonstrated the highest diagnostic performance,with the area under the curve improving from 0.771 before habitat analysis to 0.827 after habitat analysis.In the high-grade subgroup,significant differences were observed in return-to-axis probability(RTAP)and RTOP in the tumor solid region;RTOP,non-Gaussianity,non-Gaussianity axial,and RTAP in the low-MD habitat;and non-Gaussianity in the high-MD habitat(t/Z=-2.820--1.976,all P<0.05).RTOP in the low-MD habitat again showed optimal diagnostic efficacy(the area under the curve 0.725 before habitat analysis,0.798 after).Multivariate analysis identified RTAP and RTOP in the tumor solid region and low-MD habitat as independent predictors of MGMT methylation.Conclusion MAP-MRI diffusion parameters demonstrate the ability to predict MGMT promoter methylation status in glioma,with superior performance compared with diffusion tensor imaging.Habitat imaging further enhances the predictive efficacy of MAP-MRI parameters for MGMT promoter methylation.

Objective:This study aims to explore whether there are specific behavioral deficits of response inhibition and emotional processing in patients with checking obsessive-compulsive disorder (OCD) and those with washing OCD.Methods:A cross-sectional study was conducted from January 2020 to December 2022, collecting clinical data from 75 OCD patients at the outpatient psychological consultation clinic of Xiangya Second Hospital and the clinical psychology department of Hunan Brain Hospital. The sample included 40 OCD patients with checking type (checking group, 24 males, 16 females, aged 14-34 years, mean age 22.1±5.0 years) and 35 OCD patients with washing type (washing group, 12 males, 23 females, aged 14-41 years, mean age 22.6±6.7 years). An age-matched healthy control group (control group) of 80 individuals (HCs, 37 males and 43 females, aged 14-25 years, mean age 20.8±1.9 years) was also recruited. All participants completed the Go/No-go task and Hariri task with behavioral data recorded. The Dimensional Yale-Brown Obsessive-Compulsive Scale was used to assess the severity of OCD symptoms. The Center for Epidemiologic Studies Depression Scale (CES-D) and State Anxiety Inventory (STAI) were used to assess the severity of depression and anxiety. A 3 (group: checking OCD, washing OCD and HC)×2 (task type: Go vs. No-go/Shape vs. Face) repeated-measures ANOVA was conducted to compare the behavioral performance across tasks.Results:Compared with HC group, both checking OCD group and washing OCD group had significantly higher scores in depression and anxiety ( F=85.43, 32.33,both P<0.05). When performing Go/No-go task, a significant group×task interaction effect was observed ( F3(2, 152)=3.23, P3=0.042, partialη32=0.04). In the checking OCD group, No-go accuracy was significantly lower than Go accuracy (accuracy=0.821 vs. 0.893, P<0.001); the checking OCD had significantly lower accuracy than HC in the No-go task (accuracy=0.821 vs. 0.876, P=0.005); there were no significant group differences between the washing OCD and HC in the No-go task ( P>0.05). When performing Hariri task, a significant group×task interaction effect was found ( F3(2, 152)=4.91, P3=0.009, partial η32=0.06). The washing OCD group showed significantly lower accuracy in matching emotional faces than the control group (0.879 vs. 0.936, P=0.001), whereas the checking OCD group showed no significant difference from the HC ( P>0.05); there were no significant group differences in shape matching task ( P>0.05). The accuracy of shape matching task was significantly higher than face matching task in the three groups (shape: checking OCD=0.936,washing OCD=0.929,HC=0.943; face:checking OCD=0.877,washing OCD=0.844,HC=0.917;all P>0.05). Conclusions:Checking OCD and washing OCD exhibit distinct behavioral impairment patterns in response inhibition and emotional processing. Checking-type OCD is primarily characterized by impaired response inhibition, whereas washing-type OCD is mainly associated with deficits in emotion processing.

Objective:To compare the differences in lung function between sanitation workers and the general population undergoing routine physical examinations, and to analyze the risk factors for restricted airflow and severity of the condition in sanitation workers.Methods:This study is a large cross-sectional study called "Shanxin Respiratory Health Screening for Ten Thousand People". A total of 1 036 sanitation workers (sanitation group) and 6 701 individuals from the general population undergoing routine physical examinations (control group) were selected as the original study subjects from June 2021 to April 2022 (before matching). Both groups underwent pre-bronchodilator lung function tests, and the differences in lung function characteristics between the two groups were compared. The sanitation group also completed a questionnaire survey. Multivariate and ordinal multinomial logistic regression analysis were used to analyze the risk factors for airflow limitation and its severity.Results:A total of 1 027 individuals from the sanitation group and 999 individuals from the control group were included in the study. There were no significant differences in age, gender, height, weight, and body mass index (BMI) between the two groups (all P>0.05). The rate of airflow restriction was significantly higher in the sanitation group compared to the control group (22.88% vs 8.81%, P<0.001). In the sanitation group, there was no statistically significant difference in a self-assessment test for chronic obstructive pulmonary disease (CAT) scores between individuals with airflow restriction (235 cases) and those without airflow restriction (792 cases) [(1.50±2.50) vs (1.15±2.03) points, P=0.084]. There were no statistically significant differences in forced vital capacity (FVC) as a percentage of predicted value (FVC%pred) between the two groups. However, the sanitation group had significantly lower %pred for forced expiratory volume in one second (FEV 1%pred), FVC/FEV 1 ratio (FEV 1/FVC%pred), forced expiratory flow at 50% of FVC (FEF 50%%pred), forced expiratory flow at 75% of FVC (FEF 75%%pred), and maximal mid-expiratory flow (MMEF%pred) compared to the control group (all P<0.05). The rates of abnormal FEF 50%%pred, FEF 75%%pred, and MMEF%pred were significantly higher in the sanitation group compared to the control group (17.62% vs 10.31%, 17.04% vs 10.01%, 27.26% vs 18.41%, all P<0.001). Small airway parameters and the rate of airflow restriction were significantly higher in past and current smokers of the sanitation group compared to never smokers (all P<0.05). Multifactorial analysis showed that high BMI ( OR=0.929, 95% CI: 0.885-0.974) was a protective factor for airflow restriction, while high smoking index was a risk factor ( OR=1.020, 95% CI: 1.011-1.030). Ordered multinomial logistic regression analysis showed that high BMI ( OR=0.925, 95% CI: 0.882-0.971) was a protective factor for the severity of airflow restriction, while high smoking index ( OR=1.020, 95% CI: 1.011-1.029) was a risk factor for the severity of airflow restriction. Conclusions:The incidences of airflow limitation and small airway abnormalities in sanitation workers are higher than that in general physical examination population. High smoking index and low BMI are independent risk factors for airflow limitation and its severity.

Scar, especially pathological scar, not only cause cosmetic concerns, but also affect the physiological function of related tissues or organs, leading to malformation and dysfunction, that will seriously affect the quality of patients’ life. Nowadays, there are many ways to prevent and improve scar. Local topical medicine such as silicone-based products and plant extracts, become more and more popular with patients because of convenience and reasonable price. In this review, the topical agents for the prevention and improvement of scar, and their therapeutic mechanisms were summarized, providing ideas for the treatment of scar with topical agents.

Scar, especially pathological scar, not only cause cosmetic concerns, but also affect the physiological function of related tissues or organs, leading to malformation and dysfunction, that will seriously affect the quality of patients’ life. Nowadays, there are many ways to prevent and improve scar. Local topical medicine such as silicone-based products and plant extracts, become more and more popular with patients because of convenience and reasonable price. In this review, the topical agents for the prevention and improvement of scar, and their therapeutic mechanisms were summarized, providing ideas for the treatment of scar with topical agents.

Hypertrophic scar is a pathological lesion during the repair of skin wound, involving fibroblast, extracellular matrix and cytokines. The prevention and treatment of hypertrophic scar has been a clinical problem, but its exact mechanism is still unclear. The renin angiotensin system (RAS) in the skin is proved to directly involve in wound healing and hypertrophic scar formation. After local RAS activating during wound repair, the expression of angiotensinogen Ⅱ (Ang Ⅱ) and angiotensin converting enzyme (ACE) have increased. They can lead to pathological scarring by stimulating the proliferation of fibroblasts in the skin, affecting collagen metabolism, promoting skin fibrosis and angiogenesis. This review will focus on the role of Ang Ⅱ and ACE in hypertrophic scar formation, which will help to further understand the mechanism of scar formation, and summarize the potential application of RAS antagonists in hypertrophic scar prevention and treatment, so as to provide a new direction for the prevention and treatment of hypertrophic scar.

Hypertrophic scar is a pathological lesion during the repair of skin wound, involving fibroblast, extracellular matrix and cytokines. The prevention and treatment of hypertrophic scar has been a clinical problem, but its exact mechanism is still unclear. The renin angiotensin system (RAS) in the skin is proved to directly involve in wound healing and hypertrophic scar formation. After local RAS activating during wound repair, the expression of angiotensinogen Ⅱ (Ang Ⅱ) and angiotensin converting enzyme (ACE) have increased. They can lead to pathological scarring by stimulating the proliferation of fibroblasts in the skin, affecting collagen metabolism, promoting skin fibrosis and angiogenesis. This review will focus on the role of Ang Ⅱ and ACE in hypertrophic scar formation, which will help to further understand the mechanism of scar formation, and summarize the potential application of RAS antagonists in hypertrophic scar prevention and treatment, so as to provide a new direction for the prevention and treatment of hypertrophic scar.