[Effects of childhood abuse experience, recent life events and coping styles on depressive symptoms of medical students].

OBJECTIVE: To analyze the influence of childhood abuse experience, recent life events and coping styles on depression symptoms of medical students based on the model of "vulnerability-stress-coping". METHODS: A longitudinal study design was adopted to select freshmen from Hefei City and Anqing City in Anhui province by cluster sampling. A total of 4211 questionnaires were collected at baseline from November to December 2019. Follow-up surveys were conducted in November to December 2020, and a total of 3662 medical students were finally included in this study. The childhood trauma questionnaire, adolescent self-rating life events checklist, coping style questionnaire and self-rating depression scale were used to evaluate childhood abuse experience, recent life events, coping styles and depression symptoms of medical students. The PROCESS software model 1(double interaction analysis) and model 3(triple interaction analysis) were used to investigate the independent and interactive effects of childhood abuse experience, recent life events, and different coping styles on depressive symptoms of medical students during follow-up. RESULTS: Among the 3662 medical students, 976 were male and 2686 were female, with an average age of(19.2±1.0) years. Spearman correlation analysis showed that childhood abuse experience, recent life events, self-blame, fantasy, problem avoidance, and rationalization coping style were positively related to depressive symptoms(P<0.05). The coping style of problem solving and seeking help was negatively related to depressive symptoms(P<0.05). In model 1, both childhood abuse experience(ß=0.097, 95%CI 0.065-0.129) and recent life events(ß=0.102, 95%CI 0.073-0.132) had a positive predictive effect on depressive symptoms, and they also had positive interaction on depressive symptoms(ß=0.030, 95%CI 0.025-0.004). In model 3, there was a negative interaction between childhood abuse, recent life events and seeking help(ß=-0.034, 95%CI-0.061--0.007) or fantasy(ß=-0.039, 95%CI-0.065--0.013) coping styles on depressive symptoms. CONCLUSION: Childhood abuse experience and recent life events are the predisposition factors for depressive symptoms of medical students, and they can mutually promote depression, while seeking help and fantasy coping styles could weaken the promoting effects of both.

MFCF-Gait: Small Silhouette-Sensitive Gait Recognition Algorithm Based on Multi-Scale Feature Cross-Fusion.

Gait recognition based on gait silhouette profiles is currently a major approach in the field of gait recognition. In previous studies, models typically used gait silhouette images sized at 64 × 64 pixels as input data. However, in practical applications, cases may arise where silhouette images are smaller than 64 × 64, leading to a loss in detail information and significantly affecting model accuracy. To address these challenges, we propose a gait recognition system named Multi-scale Feature Cross-Fusion Gait (MFCF-Gait). At the input stage of the model, we employ super-resolution algorithms to preprocess the data. During this process, we observed that different super-resolution algorithms applied to larger silhouette images also affect training outcomes. Improved super-resolution algorithms contribute to enhancing model performance. In terms of model architecture, we introduce a multi-scale feature cross-fusion network model. By integrating low-level feature information from higher-resolution images with high-level feature information from lower-resolution images, the model emphasizes smaller-scale details, thereby improving recognition accuracy for smaller silhouette images. The experimental results on the CASIA-B dataset demonstrate significant improvements. On 64 × 64 silhouette images, the accuracies for NM, BG, and CL states reached 96.49%, 91.42%, and 78.24%, respectively. On 32 × 32 silhouette images, the accuracies were 94.23%, 87.68%, and 71.57%, respectively, showing notable enhancements.

Exercise training upregulates CD55 to suppress complement-mediated synaptic phagocytosis in Parkinson's disease.

The primary pathological change in Parkinson's disease (PD) is the progressive degeneration of dopaminergic neurons in the substantia nigra. Additionally, excessive microglial activation and synaptic loss are also typical features observed in PD samples. Exercise trainings have been proven to improve PD symptoms, delay the disease progression as well as affect excessive microglial synaptic phagocytosis. In this study, we established a mouse model of PD by injecting mouse-derived α-synuclein preformed fibrils (M-α-syn PFFs) into the substantia nigra, and demonstrated that treadmill exercise inhibits microglial activation and synaptic phagocytosis in striatum. Using RNA-Seq and proteomics, we also found that PD involves excessive activation of the complement pathway which is closely related to over-activation of microglia and abnormal synaptic function. More importantly, exercise training can inhibit complement levels and complement-mediated microglial phagocytosis of synapses. It is probably triggered by CD55, as we observed that CD55 in the striatum significantly increased after exercise training and up-regulation of that molecule rescued motor deficits of PD mice, accompanied with reduced microglial synaptic phagocytosis in the striatum. This research elucidated the interplay among microglia, complement, and synapses, and analyzed the effects of exercise training on these factors. Our work also suggested CD55 as a complement-relevant candidate molecule for developing therapeutic strategies of PD.

Changes in lipids and medium- and long-chain fatty acids during the spontaneous fermentation of ripened pu-erh tea.

During the fermentation of ripened pu-erh tea (RPT), the composition of lipids and other compounds changes significantly. In this study, we conducted industrial fermentation of RPT and observed that the levels of water extract, tea polyphenols, free amino acids, catechins, caffeine, rutin, theophylline, luteolin, and myricetin decreased, while the level of soluble sugar increased. Additionally, the levels of gallic acid, quercetin, ellagic acid, and kaempferol first increased and then decreased during fermentation. We identified a total of 731 lipids, which were classified into seven categories using a lipomics method. Among these lipids, 85 with relatively high contents decreased, while 201 lipids with low contents increased after fermentation. This led to an overall decrease in the sum contents of lipids and dominant lipids, including glycerophospholipids and saccharolipids. We also detected 33 medium- and long-chain fatty acids, with α-linolenic acid (881.202 ± 12.13-1322.263 ± 19.78 µg/g), palmitic acid (797.275 ± 19.56-955.180 ± 30.49 µg/g), and linoleic acid (539.634 ± 15.551-706.869 ± 12.14 µg/g) being the predominant ones. Coenzymes Q9 (62.76-63.57 µg/g) and Q10 (50.82-59.33 µg/g) were also identified in the fermentation process. Our findings shed light on the changes in lipids during the fermentation of RPT and highlight the potential bio-active compounds, such as α-linolenic acid, linoleic acid, Coenzymes Q9, and Q10, in ripened pu-erh tea. This contributes to a better understanding of the fermentation mechanism for RPT.

Chinese expert consensus on management of antifungal-resistant dermatophytoses (2024 edition).

Antifungal-resistant dermatophytes (ARD) infection is a hotspot issue in clinical microbiology and the dermatology field. Trichophyton indotineae as the dominant species of dermatophyte with terbinafine-resistance or multidrug resistance, is easy to be missed detection clinically, which brings severe challenges to diagnosis and treatment. ARD infection cases have emerged in China, and it predicts a risk of transmission among human. Based on the existing medical evidence and research data, the Mycology Group of Combination of Traditional and Western Medicine Dermatology and Chinese Antifungal⁃Resistant Dermatophytoses Expert Consensus Group organized experts to make consensus on the management of the infection. Here, the consensus formulated diagnosis and treatment recommendations, to raise attention to dermatophytes drug resistance problem, and expect to provide reference information for the clinical diagnosis, treatment, prevention and control.

Cardiovascular comorbidities among patients with psoriasis: a national register-based study in China.

This study aims to illustrate epidemiology of comorbid CVD in the real-world clinical setting of patients with psoriasis in China. We used data of adult patients with psoriasis who were registered in the register of China National Clinical Center for Skin and Immune Diseases between August 2020 and September 2021. Psoriasis was clinically diagnosed following the national guidelines. Univariate and multivariate logistic regression models were used to examine the factors associated with comorbid CVD in patients with psoriasis. Of the 11,560 psoriasis patients (age ≥ 18 years, mean age 41.87 years, 64.88% males), 236 were ascertained with CVD, with the overall prevalence being 2.62%. Multivariate logistic regression analysis suggested that the odds ratio (95% confidence interval) of CVD in psoriasis patients was 2.27 (2.03-2.54) for older age (per 10-year increment), 0.65 (0.48-0.90) for female, 2.07 (1.39-3.06) for obesity (BMI ≥ 28 vs. < 24 kg/m2), 2.55 (1.85-2.52) for smoking, 7.63 (5.86-9.94) for hypertension, 4.27 (3.76-4.85) for diabetes, 1.14 (1.00-1.30) for having a history of drug allergy, 2.27 (1.61-3.20) for having family history of psoriasis, and 1.76 (1.16-2.67) for severe disease (severe vs. mild) with a dose-response relationship (Ptrend < 0.001). In patients with psoriasis, comorbid CVD was associated with smoking, obesity, hypertension, diabetes, history of drug allergy, family history of psoriasis, and the psoriasis severity.

Patterns of maternal adverse childhood experiences and the intergenerational association of preschool children's emotional and behavioral problems.

Introduction: Children of whose mothers exposed to adverse childhood experiences (ACEs) are at increased risk for developmental problems. This study aims to investigate the relationship between types and patterns of maternal ACEs and preschool children's emotional and behavioral problems (EBPs) in China, and to explore gender differences associated with these problems. Methods: In this cross-sectional study, we selected 9,647 children from 36 preschools in three cities of Anhui province, China. Questionnaires were used to report the details of maternal ACEs and children's EBPs. We used the latent class analysis (LCA) to identify "patterns" in the types of maternal ACEs. Binomial logistic regressions was performed to examine the relationship between types and patterns of maternal ACEs and preschoolers' EBPs. Results: Latent class analysis (LCA) revealed four different classes of maternal ACEs. Logistic regression analysis showed that compared with the low ACEs class, children of mothers in the high abuse and neglect class had the highest risk of developing EBPs (OR = 5.93, 95%CI: 4.70-7.49), followed by moderate ACEs class (OR = 2.44, 95%CI: 1.98-3.00), and high household dysfunction class (OR = 2.16, 95%CI: 1.19-3.90). We found gender differences in the effects of high abuse and neglect/moderate ACEs class and maternal childhood physical abuse/neglect on children's EBPs, which had a stronger impact on EBPs in boys than girls (P<0.05). Discussion: This study supports and refines existing research that confirms an intergenerational association between types and patterns of maternal ACEs and children's EBPs in a large Chinese sample, so as to provide references for the early prevention and control of children's EBPs.

Association of maternal and paternal adverse childhood experiences with emotional and behavioral problems among preschool children.

Although maternal adverse childhood experiences (ACEs) are known to be related to the emotional and behavioral problems (EBPs) of offspring, few studies have surveyed the intergenerational effects of paternal ACEs. In addition, no study has yet explored the combination and interaction effects of maternal and paternal ACEs on preschool children's EBPs in China, and the gender differences in these relationships also remain to be explored. A total of 3,575 preschool children from 12 preschools from Hefei city of Anhui province were included in this study. We used a binomial logistic regression to examine the relationship between maternal ACEs, paternal ACEs and children's EBPs. Logistic regression analysis indicated that maternal and paternal ACEs were significantly related to EBPs in children, respectively. The high maternal ACEs + high paternal ACEs group had the greatest association with children's EBPs. Interaction analysis results showed that, compared with the reference group (low maternal ACEs×low paternal ACEs), the other group (high maternal ACEs×high paternal ACEs ) were significantly related to children's EBPs (OR = 1.84, 95%CI: 1.55-2.19). We found that there were no gender differences in the combination and interaction effects (P>0.05). When fathers and mothers were jointly exposed to high levels of ACEs, children had a higher risk of developing EBPs than when they were exposed independently. Future studies should fully explore the intergenerational health effects of parental ACEs so that references for promoting the physical and mental health of preschool children can be developed.

PL-Net: progressive learning network for medical image segmentation.

In recent years, deep convolutional neural network-based segmentation methods have achieved state-of-the-art performance for many medical analysis tasks. However, most of these approaches rely on optimizing the U-Net structure or adding new functional modules, which overlooks the complementation and fusion of coarse-grained and fine-grained semantic information. To address these issues, we propose a 2D medical image segmentation framework called Progressive Learning Network (PL-Net), which comprises Internal Progressive Learning (IPL) and External Progressive Learning (EPL). PL-Net offers the following advantages: 1) IPL divides feature extraction into two steps, allowing for the mixing of different size receptive fields and capturing semantic information from coarse to fine granularity without introducing additional parameters; 2) EPL divides the training process into two stages to optimize parameters and facilitate the fusion of coarse-grained information in the first stage and fine-grained information in the second stage. We conducted comprehensive evaluations of our proposed method on five medical image segmentation datasets, and the experimental results demonstrate that PL-Net achieves competitive segmentation performance. It is worth noting that PL-Net does not introduce any additional learnable parameters compared to other U-Net variants.

Re-establishing immune tolerance in multiple sclerosis: focusing on novel mechanisms of mesenchymal stem cell regulation of Th17/Treg balance.

The T-helper 17 (Th17) cell and regulatory T cell (Treg) axis plays a crucial role in the development of multiple sclerosis (MS), which is regarded as an immune imbalance between pro-inflammatory cytokines and the maintenance of immune tolerance. Mesenchymal stem cell (MSC)-mediated therapies have received increasing attention in MS research. In MS and its animal model experimental autoimmune encephalomyelitis, MSC injection was shown to alter the differentiation of CD4+T cells. This alteration occurred by inducing anergy and reduction in the number of Th17 cells, stimulating the polarization of antigen-specific Treg to reverse the imbalance of the Th17/Treg axis, reducing the inflammatory cascade response and demyelination, and restoring an overall state of immune tolerance. In this review, we summarize the mechanisms by which MSCs regulate the balance between Th17 cells and Tregs, including extracellular vesicles, mitochondrial transfer, metabolic reprogramming, and autophagy. We aimed to identify new targets for MS treatment using cellular therapy by analyzing MSC-mediated Th17-to-Treg polarization.

Consensus for antifungal stewardship in China (2024 edition).

Background: Invasive fungal disease (IFD) has become a serious threat to human health in China and around the world, with high mortality and morbidity. Currently, the misdiagnosis rate of IFD is extremely high, compounded with the low quality of prescription antifungals and the high incidence of adverse events associated with IFD treatment, resulting in lengthy hospitalization, low clinical response, and high disease burden, which have become serious challenges in clinical practice. Antifungal stewardship (AFS) can not only significantly increase the early diagnosis rate of IFD, reduce inappropriate utilization of antifungal drugs, improve patient prognosis, but can also improve therapeutic safety and reduce healthcare expenses. Thus, it is urgent to identify key AFS metrics suitable for China's current situation. Methods: Based on metrics recommended by international AFS consensuses, combined with the current situation of China and the clinical experience of authoritative experts in various fields, several metrics were selected, and experts in the fields of respiratory diseases, hematology, intensive care units (ICUs), dermatology, infectious diseases, microbiology laboratory and pharmacy were invited to assess AFS metrics by the Delphi method. Consensus was considered to be reached with an agreement level of ≥80% for the metric. Results: Consensus was reached for 24 metrics, including right patient metrics (n=4), right time metrics (n=3), and right use metrics (n=17). Right use metrics were further subdivided into drug choice (n=8), drug dosage (n=4), drug de-escalation (n=1), drug duration (n=2), and drug consumption (n=2) metrics. Forty-six authoritative experts assessed and reviewed the above metrics, and a consensus was reached with a final agreement level of ≥80% for 22 metrics. Conclusions: This consensus is the first to propose a set of AFS metrics suitable for China, which helps to establish AFS standards in China and is also the first AFS consensus in Asia, and may improve the standard of clinical diagnosis and treatment of IFD, and guide hospitals to implement AFS, ultimately promoting the rational use of antifungal drugs and improving patient prognosis.

The carbohydrate metabolism and expression of carbohydrate-active enzyme genes in Aspergillus luchuensis fermentation of tea leaves.

Introduction: Carbohydrates, which make up 20 to 25% of tea beverages, are responsible for their flavor and bioactivity. Carbohydrates of pu-erh tea change during microbial fermentation and require further research. In this study, we examined the carbohydrate metabolism and expression of carbohydrate-active enzyme genes during the fermentation of tea leaves with Aspergillus luchuensis. Methods: Widely targeted metabolomics analysis, high-performance anion-exchange chromatography measurements, and transcriptomics were used in this study. Results: After fermentation, the levels of soluble sugar, hemicellulose, lignin, eight monosaccharides, and seven sugar alcohols increased. Meanwhile, the relative contents of polysaccharides, D-sorbitol, D-glucose, and cellulose decreased. High expression of 40 genes encoding 16 carbohydrate enzymes was observed during fermentation (FPKM>10). These genes encode L-iditol 2-dehydrogenase, pectinesterase, polygalacturonase, α-amylase, glucoamylase, endoglucanase, ß-glucosidase, ß-galactosidase, α-galactosidase, α-glucosidase, and glucose-6-phosphate isomerase, among others. Discussion: These enzymes are known to break down polysaccharides and cell wall cellulose, increasing the content of monosaccharides and soluble sugars.

Synergistic and stepwise treatment of resveratrol and catechol in Haematococcus pluvialis for the overproduction of biomass and astaxanthin.

To increase the production of biomass and astaxanthin from Haematococcus pluvialis to meet the high market demand for astaxanthin, this study recruited two typical and negligible phytohormones (namely resveratrol and catechol) for the stepwise treatments of H. pluvialis. It was found that the hybrid and sequential treatments of resveratrol (200 µmol) and catechol (100 µmol) had achieved the maximum astaxanthin content at 33.96 mg/L and 42.99 mg/L, respectively. Compared with the hybrid treatment, the physiological data of H. pluvialis using the sequential strategy revealed that the enhanced photosynthetic performance via the Calvin cycle by RuBisCO improved the biomass accumulation during the macrozooid stage; meanwhile, the excessive ROS production had occurred to enhance astaxanthin production with the help of NADPH overproduction during the hematocyst stage. Overall, this study provides improved knowledge of the impacts of phytohormones in improving biomass and astaxanthin of H. pluvialis, which shed valuable insights for advancing microalgae-based biorefinery.

Epidemiologic features and therapeutic strategies of kerion: A nationwide multicentre study.

BACKGROUND: Kerion is a severe type of tinea capitis that is difficult to treat and remains a public health problem. OBJECTIVES: To evaluate the epidemiologic features and efficacy of different treatment schemes from real-world experience. METHODS: From 2019 to 2021, 316 patients diagnosed with kerion at 32 tertiary Chinese hospitals were enrolled. We analysed the data of each patient, including clinical characteristics, causative pathogens, treatments and outcomes. RESULTS: Preschool children were predominantly affected and were more likely to have zoophilic infection. The most common pathogen in China was Microsporum canis. Atopic dermatitis (AD), animal contact, endothrix infection and geophilic pathogens were linked with kerion occurrence. In terms of treatment, itraconazole was the most applied antifungal agent and reduced the time to mycological cure. A total of 22.5% of patients received systemic glucocorticoids simultaneously, which reduced the time to complete symptom relief. Furthermore, glucocorticoids combined with itraconazole had better treatment efficacy, with a higher rate and shorter time to achieving mycological cure. CONCLUSIONS: Kerion often affects preschoolers and leads to serious sequelae, with AD, animal contact, and endothrix infection as potential risk factors. Glucocorticoids, especially those combined with itraconazole, had better treatment efficacy.

Association between green space and multiple ambient air pollutants with depressive and anxiety symptoms among Chinese adolescents: The role of physical activity.

OBJECTIVE: To explore the association between green space, multiple ambient air pollutants and depressive/anxiety symptoms and the mediating role of physical activity (PA) in Chinese adolescents. METHOD: A school-based health survey was conducted in eight provinces in China in 2021. 22,868 students aged 14.64 (±1.77) years completed standard questionnaires to record details of depressive, anxiety symptoms and PA. We calculated the average normalized difference vegetation index (NDVI) in circular buffers of 200 m, 500 m and 1000 m and estimated the concentrations of PM10, PM2.5, CO, NO2, O3, SO2 around the adolescents' school addresses. RESULTS: The exposure-response curves showed that the lower the NDVI value, the higher the risk of depressive and anxiety symptoms. CO, PM2.5 and SO2 and air pollution score were associated with increased risk of depressive and anxiety symptoms. NDVI in all circular buffers decreased the risk of depressive and anxiety symptoms at low levels of PA, but the associations were not significant at high levels of PA. In the subgroup analysis, PM10, PM2.5, CO, NO2, SO2, AQI and air pollution score increased the risk of depressive and anxiety symptoms at low PA levels, but the associations were not significant at high levels of PA. Mediation analysis indicated that the mediating effect of PA on the association between NDVI, NDVI-200 m NDVI-500 m, CO, PM10, PM2.5, SO2, AQI and depressive/anxiety symptoms was statistically significant（p < 0.05）. CONCLUSION: Middle-high level PA could reduce the strength of association between air pollution and depressive and anxiety symptoms. Meanwhile, the association between green space/air pollution and depressive/anxiety symptoms was partly mediated by PA.

Effects of social-ecological risk factors and resilience on the relationship between metabolic metrics and mental health among young adults.

The correlation between metabolic metrics and mental health remains underexplored, with few in-depth studies examining whether this association exists among college students and whether it might be moderated by socio-ecological risk factors (SERFs) and mediated by resilience. A follow-up study design investigated the association between baseline metabolic metrics, SERFs and resilience and mental health. A multivariable linear regression model using the PROCESS method established the relationship of SERFs, resilience and metabolic metrics with mental health. Participants were 794 adolescents (mean age: 18.64 [±0.90] years). In multivariable linear regression, the high-level SERFs (ß = 0.124), resilience (ß = -0.042), LCI (ß = 0.072), and RFM (ß = 0.145) were associated with higher depression symptoms, while CVH (ß = 0.602), TyG (ß = 0.295), TyG-BMI (ß = 0.004), and RC (ß = -0.041) were not. An association was also observed between SERFs, resilience, RFM and anxiety. Resilience mediated the relationship between metabolic metrics and depression and anxiety, and SERFs moderated this relationship, demonstrating the relationship between resilience, metabolic metrics, SERFs and mental health. By revealing the potential sociological mechanism underlying the relationship between metabolic metrics and adolescents' mental health, this study provides a theoretical basis for further exploration of the biological foundations of mental health.