ObjectiveTo construct and validate a clinical prediction model for inflammatory remission outcomes in rheumatoid arthritis （RA） patients with liver and kidney deficiency syndrome treated with Bushen Zhiwang Decoction （补肾治尪汤， BZD） based on metabolomics. MethodsA prospective cohort study was conducted， enrol-ling 60 RA patients with liver and kidney deficiency syndrome. All patients were treated with BZD and conventional-dose oral conventional synthetic disease-modifying antirheumatic drugs （csDMARDs） for 12 months. Clinical data were collected， and the change in disease activity score in 28 joints （DAS28） after treatment compared with baseline （△DAS28） was used as the primary outcome and grouping criterion. Peripheral blood samples were collected before treatment to analyze plasma metabolites. Differential analysis and least absolute shrinkage and selection operator （LASSO） regression were used to preliminarily screen differential metabolites， followed by machine learning algorithms to further identify a core metabolite combination. Based on the expression levels of the core metabolite combination， a novel metabolite index， namely the metabolomics-based inflammatory remission score （Met-IRS）， was calculated using standar-dized metabolite values， and its clinical applicability was evaluated. A clinical prediction model was constructed by integrating clinical characteristics and Met-IRS， and the model performance was assessed. ResultsAmong the 60 patients， those with △DAS28 ≥ 0.27 were assigned to the high inflammatory remission group， while those with △DAS28 ＜ 0.27 were assigned to the low inflammatory remission group， with 30 cases in each group. Compared to the low inflammatory remission group， the high inflammatory remission group showed a higher frequency of methotrexate use and a lower positive rate of rheumatoid factor （RF） （P＜0.05）. Seven core metabolites were identified as the optimal combination， including mangiferic acid， fatty acid-hydroxy fatty acid ester 40∶6， fatty acid-hydroxy fatty acid ester 18∶0， fatty acid-hydroxy fatty acid ester 36∶1， glucosylceramide， lysophosphatidylcholine 22∶5， and pregnanetriol ketone. The calculated Met-IRS comprehensively reflected the characteristics of differential metabolites and demonstrated clinical applicability. Met-IRS was significantly higher in the high inflammatory remission group than in the low inflammatory remission group， and was positively correlated with high inflammatory remission outcomes （P＜0.05）. Based on the variables Met-IRS， methotrexate use， leflunomide use， and RF positivity， a clinical prediction model for inflammatory remission in RA treatment （Cj-RTRM） was constructed. Model performance evaluation demonstrated that the model had good clinical predictive ability， with an area under the receiver operating characteristic curve （AUC） of 0.880， sensitivity 0.967， specificity 0.700 and Youden's index 0.667. ConclusionThe clinical prediction model Cj-RTRM constructed based on the metabolomics-based inflammatory remission score Met-IRS can effectively predict clinical inflammatory remission outcomes in RA patients treated with BZD and accurately identify the advantageous population for this treatment. This model provides guiding evidence for dynamic inflammation monitoring， targeted management， and identification of populations with advantages in traditional Chinese medicine.

Fusarium head blight (FHB), caused by Fusarium graminearum, not only leads to severe yield losses but also poses a threat to food safety due to the mycotoxins produced by the pathogen. Since this disease is preventable but not curable, the current control mainly relies on chemical fungicides, the long-term use of which may lead to pathogen resistance and environmental pollution. To develop green control methods, we screened 13 biocontrol strains from the rhizosphere soil of wheat, among which strain No. 12 (identified as Pythium aphanidermatum) showed significant antifungal effects. In the plate confrontation test, this strain reduced the colony diameter of the pathogen by 69.2% (1.47 mm vs. 4.78 mm in the control group), with an inhibition rate of 77% (P < 0.01). Microscopic observation revealed obvious deformations in the pathogen hyphae, suggesting a lysing effect. The coleoptile experiment further confirmed that the pre-treatment with this strain reduced the incidence rate to 0. These findings provide new candidate strains for the biocontrol of FHB and offer a scientific basis for reducing the use of chemical fungicides and promoting sustainable agricultural development.
Triticum/growth & development* ; Fusarium/growth & development* ; Plant Diseases/prevention & control* ; Soil Microbiology ; Pest Control, Biological/methods* ; Pythium/physiology* ; Biological Control Agents ; Rhizosphere ; Fungicides, Industrial

OBJECTIVES: End stage renal disease (ESRD) is a major disease that seriously threatens the health of young people, and kidney transplantation is an effective treatment method to improve its prognosis.Young ESRD patients at a critical stage of life development often face significant physical and psychological challenges while waiting for kidney transplantation. Their psychological state directly affects treatment compliance and transplantation outcomes.This study aims to explore the psychological experiences of young patients with end stage renal disease during the waiting period for kidney transplantation, and provide a reference for formulating relevant psychological intervention measures. METHODS: A descriptive qualitative research design was adopted. Using purposive sampling, 20 young ESRD patients awaiting for kidney transplantation at the Transplantation Center of Xiangya Third Hospital, Central South University, from June to August 2024, were recruited. Based on the socio-ecological systems theory, a semi-structured interview outline was developed, and directed content analysis was applied to analyze the interview data. RESULTS: According to the results of qualitative interviews, 3 themes and 9 sub-themes were summarized as follows: Microsystem (disease pain experience, anxiety during transplantation waiting period, cognitive differentiation and coping differences), mesosystem (imbalance of family roles and dependent guilt, physician-patient trust dynamics, ambivalence toward peer support), and macrosystem (decision-making powerlessness caused by information asymmetry, sociocultural stigma and public bias, institutional dependence and passive behavior). CONCLUSIONS Young ESRD patients experience complex psychological experiences during the waiting period for kidney transplantation. Healthcare providers should explore corresponding intervention measures based on patients' psychological status to improve their waiting period experience and promote both physical and mental health.
Humans ; Kidney Transplantation/psychology* ; Kidney Failure, Chronic/surgery* ; Qualitative Research ; Female ; Male ; Adult ; Adaptation, Psychological ; Waiting Lists ; Young Adult ; Adolescent ; Anxiety/psychology*

The liver has diverse functions such as metabolism， detoxification， and immune defense， and the maintenance of hepatic microenvironment homeostasis is crucial for overall bodily health. The hepatic microenvironment consists of the components such as parenchymal cells， non-parenchymal cells， and non-cellular components. Chronic inflammatory responses induced by various etiological factors may promote the formation and progression of liver fibrosis. During the dynamic progression of liver fibrosis， from the early to advanced stages， various components within the hepatic microenvironment undergo a series of changes， which can promote the malignant progression of liver fibrosis. An in-depth exploration of the mechanisms underlying such changes in each component of the liver fibrosis microenvironment is of great significance for understanding the pathogenesis of liver fibrosis and discovering potential treatment strategies.

Objective:To explore the potential mechanism underlying IL-6 production through the TLR7 signaling pathway,which regulates Th17 cell differentiation in the context of Coxsackievirus B3(CVB3)-induced acute viral myocarditis(AVMC).Meth-ods:A total of 110 patients diagnosed with AVMC were admitted to Quanzhou First Hospital,Fujian between January 2020 and Janu-ary 2023,alongside 93 healthy volunteers.CD4+T cells were isolated from the subjects'blood,and the levels of CVB3 and the number of Th17 cells were assessed.Subsequently,CD4+T cells were infected with CVB3,and the levels of Th17 cells,IL-17,IL-21,and TNF-α were measured.After knockdown of TLR7 or treatment with TLR7 inhibitors,the differentiation of CVB3-infected CD4+T cells into Th17 cells was observed.Results:In comparison to healthy controls,AVMC patients exhibited elevated plasma levels of hsCRP,IL-17,IL-21,and TNF-α(P<0.05).The levels of CVB3 mRNA in CD4+T cells were also notably higher in AVMC patients compared to healthy controls(P<0.05).The mean viral titer in AVMC patients measured 230 PFU/ml,while no detectable virus was found in healthy volunteers(P<0.05).In CD4+T cells,the count of Th17 cells was significantly increased in AVMC patients compared to healthy volunteers(P<0.05).Moreover,the number of Th17 cells in peripheral blood CD4+T cells of AVMC patients showed a positive correlation with CVB3 virus titer(P<0.05).Following CVB3 infection,the number of Th17 cells increased compared with the control group(P<0.05),accompanied by elevated levels of IL-17,IL-21,and TNF-α in the supernatant(P<0.05).Knockdown of TLR7 and CVB3 infection in CD4+T cells significantly reduced the levels of Th17 cells(P<0.05),while the expression level of phosphorylated-activated TLR7 increased significantly after CVB3 infection of CD4+T cells compared to the control group(P<0.05).Treatment with the TLR7 inhibitor M5049 and CVB3 infection led to a significant decrease in Th17 cell levels(P<0.05).The secretion of IL-6 in CD4+T cells increased after CVB3 infection(P<0.05),and this increase was mitigated by TLR7 knockdown and CVB3 infection(P<0.05)as well as TLR7 inhibitor M5049 treatment and CVB3 infection(P<0.05).Conclusion:CVB3 activates TLR7 via phosphoryla-tion,prompting CD4+T cells to release IL-6 and undergo differentiation into Th17 cells.Consequently,TLR7 emerges as a promising therapeutic target for AVMC.

Objective:To evaluate the clinical value of an obstetric intelligent assistant in predicting postpartum hemorrhage (PPH) after vaginal delivery.Methods:This retrospective cohort study included 4 832 women who delivered vaginally at ≥26 weeks of gestation at the Third Affiliated Hospital, Guangzhou Medical University between May 2023 and April 2025. Participants were categorized into PPH (382 cases, blood loss ≥500 ml within 24 h after delivery) and non-PPH groups (4 450 cases). Using traditional statistical methods combined with machine learning approaches, including support vector machines and extreme gradient boosting, supplemented with deep learning techniques, we developed a novel artificial neural network model—the obstetric intelligent assistant. This model provides a refined classification of PPH occurrence and estimated blood loss volume. The obstetric intelligent assistant integrates 70 antenatal and intrapartum risk factors through hospital information system interfacing to generate visualized risk probability outputs. Predictive performance was compared between the obstetric intelligent assistant and four conventional prediction tools (Chinese Labor Room Traffic Light System; Association of Women's Health, Obstetric and Neonatal Nurses; American College of Obstetrics and Gynecology Safe Motherhood Initiative; and California Maternal Quality Care Collaborative prediction tools) using receiver operating characteristic curve.Results:(1) For antenatal prediction, the obstetric intelligent assistant achieved an area under the curve of 0.826 (95% CI: 0.774-0.838), with sensitivity of 0.794 and specificity of 0.712, while the four conventional prediction tools showed area under the curve ranging from 0.569 to 0.586. (2) For intrapartum prediction, the obstetric intelligent assistant achieved an area under the curve of 0.786 (95% CI: 0.751-0.820), with sensitivity of 0.837 and specificity of 0.762, whereas the conventional tools showed area under the curve between 0.600 and 0.613. Conclusion:The obstetric intelligent assistant demonstrates superior performance in predicting PPH compared to conventional prediction tools.

Objective To explore the mechanism of malt alcohol extract improving depression-like behavior induced by CUMS in rats by regulating gut microbiota.Methods The depression model of rats was established using an 8-weeks CUMS procedure,and the administration group was given low(59.6 mg·kg-1)and high(178.8 mg·kg-1)doses of malt alcohol extract,respectively.The depression-like behavior of rats was evaluated by classic behavioral test.The composition of intestinal microbiota of rats was analyzed by 16S rRNA sequencing.The morphological changes of colon were observed by hematoxylin and eosin(HE),the expression of ZO-1 and Occludin in colon was detected by immunofluorescence(IF),and the expression of IL-10,IL-1βand 5-HT were detected by ELISA.Results The low dose of malt alcohol extract attenuated the depressive behavior and restored the expression of 5-HT in the brain of CUMS rats.16S rRNA sequencing results showed that the diversity and relative abundance of gut microbiota changed after treatment with the low dose of malt alcohol extract.ELISA results showed that the low dose of malt alcohol extract significantly reversed the CUMS-induced reduction of IL-10 and elevation of IL-1 β.HE results showed that the low dose of malt alcohol extract significantly ameliorated CUMS-induced structural damage in colon.IF results showed increased protain expression of intestinal epithelial barrier tight junction proteins ZO-1 and Occludin by the low dose of malt alcohol extract.Conclusion The low dose of malt alcohol extract can ameliorate CUMS-induced depressive-like behavior in rats by modulating intestinal flora,restoring 5-HT expression in the brain,inhibiting inflammation,and repairing the intestinal barrier.

Objective:To explore the potential mechanism underlying IL-6 production through the TLR7 signaling pathway,which regulates Th17 cell differentiation in the context of Coxsackievirus B3(CVB3)-induced acute viral myocarditis(AVMC).Meth-ods:A total of 110 patients diagnosed with AVMC were admitted to Quanzhou First Hospital,Fujian between January 2020 and Janu-ary 2023,alongside 93 healthy volunteers.CD4+T cells were isolated from the subjects'blood,and the levels of CVB3 and the number of Th17 cells were assessed.Subsequently,CD4+T cells were infected with CVB3,and the levels of Th17 cells,IL-17,IL-21,and TNF-α were measured.After knockdown of TLR7 or treatment with TLR7 inhibitors,the differentiation of CVB3-infected CD4+T cells into Th17 cells was observed.Results:In comparison to healthy controls,AVMC patients exhibited elevated plasma levels of hsCRP,IL-17,IL-21,and TNF-α(P<0.05).The levels of CVB3 mRNA in CD4+T cells were also notably higher in AVMC patients compared to healthy controls(P<0.05).The mean viral titer in AVMC patients measured 230 PFU/ml,while no detectable virus was found in healthy volunteers(P<0.05).In CD4+T cells,the count of Th17 cells was significantly increased in AVMC patients compared to healthy volunteers(P<0.05).Moreover,the number of Th17 cells in peripheral blood CD4+T cells of AVMC patients showed a positive correlation with CVB3 virus titer(P<0.05).Following CVB3 infection,the number of Th17 cells increased compared with the control group(P<0.05),accompanied by elevated levels of IL-17,IL-21,and TNF-α in the supernatant(P<0.05).Knockdown of TLR7 and CVB3 infection in CD4+T cells significantly reduced the levels of Th17 cells(P<0.05),while the expression level of phosphorylated-activated TLR7 increased significantly after CVB3 infection of CD4+T cells compared to the control group(P<0.05).Treatment with the TLR7 inhibitor M5049 and CVB3 infection led to a significant decrease in Th17 cell levels(P<0.05).The secretion of IL-6 in CD4+T cells increased after CVB3 infection(P<0.05),and this increase was mitigated by TLR7 knockdown and CVB3 infection(P<0.05)as well as TLR7 inhibitor M5049 treatment and CVB3 infection(P<0.05).Conclusion:CVB3 activates TLR7 via phosphoryla-tion,prompting CD4+T cells to release IL-6 and undergo differentiation into Th17 cells.Consequently,TLR7 emerges as a promising therapeutic target for AVMC.

Objective To explore the mechanism of malt alcohol extract improving depression-like behavior induced by CUMS in rats by regulating gut microbiota.Methods The depression model of rats was established using an 8-weeks CUMS procedure,and the administration group was given low(59.6 mg·kg-1)and high(178.8 mg·kg-1)doses of malt alcohol extract,respectively.The depression-like behavior of rats was evaluated by classic behavioral test.The composition of intestinal microbiota of rats was analyzed by 16S rRNA sequencing.The morphological changes of colon were observed by hematoxylin and eosin(HE),the expression of ZO-1 and Occludin in colon was detected by immunofluorescence(IF),and the expression of IL-10,IL-1βand 5-HT were detected by ELISA.Results The low dose of malt alcohol extract attenuated the depressive behavior and restored the expression of 5-HT in the brain of CUMS rats.16S rRNA sequencing results showed that the diversity and relative abundance of gut microbiota changed after treatment with the low dose of malt alcohol extract.ELISA results showed that the low dose of malt alcohol extract significantly reversed the CUMS-induced reduction of IL-10 and elevation of IL-1 β.HE results showed that the low dose of malt alcohol extract significantly ameliorated CUMS-induced structural damage in colon.IF results showed increased protain expression of intestinal epithelial barrier tight junction proteins ZO-1 and Occludin by the low dose of malt alcohol extract.Conclusion The low dose of malt alcohol extract can ameliorate CUMS-induced depressive-like behavior in rats by modulating intestinal flora,restoring 5-HT expression in the brain,inhibiting inflammation,and repairing the intestinal barrier.