Objective: To define the mechanism by which swine TRIM25 restricts vesicular stomatitis virus replication. Methods: Porcine 3D4/21 cells with TRIM25 overexpression or knockdown were infected with vesicular stomatitis virus. Viral replication was quantified by immunoblotting, quantitative reverse transcription polymerase chain reaction, and 50% tissue culture infectious dose assays. Type I interferon signaling was assessed by transcript quantification, interferon-beta and interferon-stimulated response element reporter assays, and co-immunoprecipitation.Viral RNA binding was tested by RNA immunoprecipitation. Results: TRIM25 overexpression reduced viral RNA and infectious titers, whereas TRIM25 knockdown increased replication (p < 0.01). TRIM25 increased interferon-beta and interferon-stimulated gene expression and enhanced interferon-beta and interferonstimulated response element promoter activity (p < 0.01). Mechanistically, TRIM25 promoted Lys63-linked ubiquitination of RIG-I and increased phosphorylation of TANK-binding kinase 1 and interferon regulatory factor 3. TRIM25 also bound vesicular stomatitis virus genomic RNA, and binding required the C-terminal region. Conclusions and Relevance: Porcine TRIM25 restricts vesicular stomatitis virus replication by amplifying type I interferon signaling and directly binding viral RNA.

[Objective] To compare the diagnostic accuracy of three imaging modalities, inlducing CT urography (CTU), contrast-enhanced MRI (CE-MRI), and contrast-enhanced ultrasound (CEUS) in the qualitative diagnosis of renal space-occupying lesions. [Methods] A retrospective analysis was performed on 542 patients with renal lesions confirmed by surgical pathology in our hospital during Jan.2019 and May 2024.The diagnostic results of CTU, CE-MRI and CEUS were compared and analyzed based on the patients' clinical and pathological data. [Results] The diagnostic accuracy rate of CTU, CE-MRI and CEUS were 84.50%, 83.14% and 86.14%, respectively.For the 161 patients who underwent all three examinations, CEUS was significantly more accurate than CTU (84.16% vs. 77.02%, P=0.018), while there was no significant difference between CTU or CEUS and CE-MRI (79.81%) (P>0.05). Further analysis found that for lesions ≤4 cm, the accuracy of the three examinations was as follows: CEUS=CTU 79.55%, CE-MRI 76.14%, with no significant difference (P>0.05). However, for lesions >4 cm, CEUS ranked the first, followed by CE-MRI and CTU (89.73% vs. 84.25% vs. 73.97%), and CEUS and CE-MRI were better than CTU (P<0.05). Additionally, for the diagnosis of clear cell renal carcinoma and benign renal space-occupying lesions, there was no statistically significant difference among the three imaging modalities (P>0.05), while for the qualitative diagnosis of non-clear cell renal carcinoma, CEUS ranked the first, followed by CE-MRI and CTU (83.87% vs. 74.19% vs. 56.45%), and CE-MRI and CEUS were better than CTU (P<0.05). [Conclusion] All of them have important diagnostic value, and the appropriate selection should be based on patients' specifc conditions.CEUS and CE-MRI are more accurate in the qualitative diagnosis of renal space-occupying lesions than CTU, especially for large lesions and non-clear cell carcinoma.

Objective:To select low-dose radiation-activated genes with intrinsic radiation protection by developing a model for adaptive responses to low-dose ionizing radiation, in order to explore the mechanisms behind the radiation resistance of the candidate genes.Methods:The cells were divided into adaptive response induction group and whole transcriptome sequencing group. The level of DNA damage was assessed using the γ-H2AX immunofluorescence assay. The low-dose radiation-activated candidate genes with radiation protection were selected through whole transcriptome sequencing and quantitative reverse transcription PCR (RT-qPCR)-based validation. The anti-radiation effect of candidate gene CCND1 was assessed based on CCK-8 cell proliferation and γ-H2AX immunofluorescence assay. After up- and down-regulation of CCND1 expression, the anti-radiation mechanism of CCND1 was preliminarily explored through transcriptome sequencing analysis.Results:A model for low-dose ionizing radiation-induced adaptive responses of lymphocytes was constructed. Using this model, six candidate genes with radiation protection, including CCND1, ZMAT3, MGAT3, DFFB, CYP4F2, ITGA6, were selected. Compared to the control group, overexpressed CCND1 led to significantly enhanced proliferation ability of AHH-1 cells ( t = 7.92-14.76, P < 0.05) and distinctly lowered level of DNA damage ( t = 2.79-9.68, P < 0.05) after 2 Gy of X-ray irradiation. Furthermore, compared to the control group, the CCND1 knockdown caused significantly decreased cell proliferation ability ( t = 13.58-26.25, P < 0.05) and notably elevated level of DNA damage of cells ( t = 2.87-7.61, P < 0.05). Transcriptome sequencing revealed that up- and down-regulation of CCND1 expression resulted in the activation of pathways related to cell growth, death, and damage repair. Conclusions:By selecting six low-dose-activated candidate genes with radiation protection and revealing the function of CCND1 in radiation protection, this study provides a new perspective for the development of radiation protection agents from the perspective of adaptive responses to low-dose radiation.

Objective To investigate the effects of goal-directed fluid therapy(GDFT)combined with ultrasound-guided erector spinae plane block(ESPB)on perioperative stress response and postoperative recovery in patients undergoing robot-assisted pedicle screw fixation surgery.Methods Eighty patients scheduled for elec-tive surgery were randomly divided into two groups:control(general anesthesia+conventional fluid management,n=40)and intervention(general anesthesia+GDFT+ESPB,n=40).Heart rate(HR),mean arterial pressure(MAP),serum cortisol(Cor),norepinephrine(NE),blood glucose(GLU)levels,and resting VAS scores were measured and compared between the two groups preoperatively(T?),at screw placement(T?),at end of surgery(T?),30 minutes after extubation(T?),at 24 hours(T?),and 48 hours(T?)postoperatively.Intraoperative fluid volume,remifentanil consumption,postoperative rescue analgesia frequency,time to first ambulation,length of stay,and complications(agitation,nausea and vomiting,respiratory depression)were recorded.Results There were no differences in baseline(T?)indicators between the two groups(P>0.05).The intervention group exhibited significantly lower levels of HR,MAP,Cor,NE,and GLU at T?,T?,and T? compared with the control group(P<0.05),with Cor,NE,and GLU reduced by>30%at T?(P<0.05).Intraoperative fluid volume and remi-fentanil dosage were significantly reduced(both P<0.05).VAS scores and the number of rescue analgesia requests were lower at T?,T?,and T?(P<0.01).Time to first ambulation time and postoperative hospital stay were shortened(both P<0.01).The incidence of agitation,nausea/vomiting and overall complications was lower in the interven-tion group(P<0.05),whereas respiratory depression rates did not differ(P>0.05).Conclusion GDFT plus ESPB can effectively suppress perioperative stress response in robot-assisted spinal surgery,significantly reduce intraoperative opioid dosage and fluid volume,optimize postoperative analgesia,enhance recovery,and lower complication risk.This combination provides an effective ERAS strategy for improving surgical safety and recovery quality.

To evaluate the effectiveness of the modified post anesthesia care unit (PACU) discharge assessment tool in the field of bone oncology, in order to prevent and reduce postoperative adverse events in patients undergoing bone tumor surgery. This is a prospective controlled study. 81 bone tumor patients who underwent general anesthesia surgery in the PACU from January to December 2023 were prospectively selected as the study subjects. They were randomly divided into a control group and an intervention group using a random number table method, with 43 and 38 cases, respectively. The control group and intervention group respectively used the fast track scoring system and the improved fast track scoring system as exit assessment tools. Independent sample t-test was used to compare the duration of PACU stay, mean arterial pressure (MAP) at PACU exit, heart rate, and blood oxygen saturation (SpO 2) between two groups of patients. Chi square test was used to compare the occurrence of adverse events between the two groups. The results showed that there was no statistically significant difference between the intervention group and the control group in terms of PACU dwell time [(55.58±23.83) min vs. (46.14±21.87) min], MAP at PACU [(88.23±11.52) mmHg vs. (86.25±10.62) mmHg], heart rate [(86.25±10.62) beats/min vs. (72.93±18.86) beats/min], and SpO 2 [(99.84±0.68)% vs. (99.86±0.91)%] ( t=1.859, 0.805, 1.003, 0.101,all P>0.05). The total incidence of adverse events in the intervention group was significantly lower than the control group (68.42% vs. 90.70%, χ2=4.988, P<0.05). In conclusion, the modified fast-tracking criteria can significantly reduce the incidence of adverse events in PACU patients undergoing bone tumor surgery, but does not affect PACU dwell time and patient circulatory status.

ObjectiveTo preliminarily explore the active components and target pathways of Angelicae Sinensis Radix-Polygonati Rhizoma （ASR-PR） herb pair in the treatment of simple obesity through network pharmacology and molecular docking， and to verify and investigate its mechanism of action via animal experiments. MethodsThe chemical constituents and targets of ASR and PR were predicted using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）. Targets related to simple obesity were identified by retrieving the GeneCards， Online Mendelian Inheritance in Man （OMIM）， Pharmacogenomics Knowledgebase （PharmGKB）， and DisGeNET databases. The intersection of drug and disease targets was used to construct an active component-target network using Cytoscape software. This network was imported into the STRING database to construct a protein-protein interaction （PPI） network， and topological analysis was conducted to identify core genes. Gene Ontology （GO） analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis and mapping were performed using the DAVID database and the Microbioinformatics platform. AutoDock 1.5.7 software was used to perform molecular docking between the top five active components and core targets. An animal model of simple obesity was established by feeding C57BL/6J mice a high-fat diet. The mice were administered ASR （2.06 g·kg^-1）， PR （2.06 g·kg^-1）， or ASR-PR （4.11 g·kg^-1） for 10 weeks， while the model group received an equal volume of purified water by gavage. After the administration period， the mice were sacrificed to measure body fat weight and serum levels of total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein （HDL）， and low-density lipoprotein （LDL）. Hematoxylin-eosin （HE） staining was used to observe histopathological sections of liver and adipose tissue. Serum levels of leptin， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） were determined by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of epidermal growth factor receptor （EGFR） and signal transducer and activator of transcription 3 （STAT3） in liver tissue were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsNetwork pharmacology and molecular docking results indicated that the treatment of simple obesity by ASR-PR may involve the regulation of protein expression of core targets EGFR and STAT3 by its main components MOL009760 （Siberian glycoside A_qt）， MOL003889 （methyl protodioscin_qt）， MOL009766 （resveratrol）， MOL006331 （4′，5-dihydroxyflavone）， and MOL004941 （baicalin）， thereby modulating the PI3K/Akt and JAK/STAT signaling pathways. The animal experiment results showed that compared with the normal group， the model group had significantly increased body weight， body fat weight， and serum levels of TG， TC， TNF-α， IL-6， and leptin （P<0.01）. EGFR mRNA expression was significantly elevated （P<0.05）， while STAT3 mRNA expression was significantly decreased （P<0.01）. Histological analysis revealed disordered hepatic architecture in the model group， with pronounced lipid vacuoles， cytoplasmic loosening， lipid accumulation， and steatosis. Adipocytes in white adipose tissue （WAT） and brown adipose tissue （BAT） of the model group exhibited markedly increased diameters， reduced cell counts per unit area， and irregular morphology. Compared with the model group， the ASR-PR group significantly reduced body weight， body fat weight， serum TC， IL-6， TNF-α， leptin levels， and EGFR mRNA expression （P<0.01）. TG levels were also significantly decreased （P<0.05）， while STAT3 mRNA expression was significantly increased （P<0.01）. Histopathological improvements included reduced size and number of hepatic lipid vacuoles and restoration of liver cell morphology toward that of the normal group. The diameter of adipocytes significantly decreased， and the number of adipocytes per unit area increased. ConclusionASR-PR may regulate the expression of key target proteins such as EGFR and STAT3 via its core active components， modulate the PI3K/Akt and JAK/STAT signaling pathways， repair damaged liver and adipose tissues， and thereby alleviate the progression of obesity in mice.

ObjectiveTo preliminarily explore the active components and target pathways of Angelicae Sinensis Radix-Polygonati Rhizoma （ASR-PR） herb pair in the treatment of simple obesity through network pharmacology and molecular docking， and to verify and investigate its mechanism of action via animal experiments. MethodsThe chemical constituents and targets of ASR and PR were predicted using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）. Targets related to simple obesity were identified by retrieving the GeneCards， Online Mendelian Inheritance in Man （OMIM）， Pharmacogenomics Knowledgebase （PharmGKB）， and DisGeNET databases. The intersection of drug and disease targets was used to construct an active component-target network using Cytoscape software. This network was imported into the STRING database to construct a protein-protein interaction （PPI） network， and topological analysis was conducted to identify core genes. Gene Ontology （GO） analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis and mapping were performed using the DAVID database and the Microbioinformatics platform. AutoDock 1.5.7 software was used to perform molecular docking between the top five active components and core targets. An animal model of simple obesity was established by feeding C57BL/6J mice a high-fat diet. The mice were administered ASR （2.06 g·kg^-1）， PR （2.06 g·kg^-1）， or ASR-PR （4.11 g·kg^-1） for 10 weeks， while the model group received an equal volume of purified water by gavage. After the administration period， the mice were sacrificed to measure body fat weight and serum levels of total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein （HDL）， and low-density lipoprotein （LDL）. Hematoxylin-eosin （HE） staining was used to observe histopathological sections of liver and adipose tissue. Serum levels of leptin， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） were determined by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of epidermal growth factor receptor （EGFR） and signal transducer and activator of transcription 3 （STAT3） in liver tissue were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsNetwork pharmacology and molecular docking results indicated that the treatment of simple obesity by ASR-PR may involve the regulation of protein expression of core targets EGFR and STAT3 by its main components MOL009760 （Siberian glycoside A_qt）， MOL003889 （methyl protodioscin_qt）， MOL009766 （resveratrol）， MOL006331 （4′，5-dihydroxyflavone）， and MOL004941 （baicalin）， thereby modulating the PI3K/Akt and JAK/STAT signaling pathways. The animal experiment results showed that compared with the normal group， the model group had significantly increased body weight， body fat weight， and serum levels of TG， TC， TNF-α， IL-6， and leptin （P<0.01）. EGFR mRNA expression was significantly elevated （P<0.05）， while STAT3 mRNA expression was significantly decreased （P<0.01）. Histological analysis revealed disordered hepatic architecture in the model group， with pronounced lipid vacuoles， cytoplasmic loosening， lipid accumulation， and steatosis. Adipocytes in white adipose tissue （WAT） and brown adipose tissue （BAT） of the model group exhibited markedly increased diameters， reduced cell counts per unit area， and irregular morphology. Compared with the model group， the ASR-PR group significantly reduced body weight， body fat weight， serum TC， IL-6， TNF-α， leptin levels， and EGFR mRNA expression （P<0.01）. TG levels were also significantly decreased （P<0.05）， while STAT3 mRNA expression was significantly increased （P<0.01）. Histopathological improvements included reduced size and number of hepatic lipid vacuoles and restoration of liver cell morphology toward that of the normal group. The diameter of adipocytes significantly decreased， and the number of adipocytes per unit area increased. ConclusionASR-PR may regulate the expression of key target proteins such as EGFR and STAT3 via its core active components， modulate the PI3K/Akt and JAK/STAT signaling pathways， repair damaged liver and adipose tissues， and thereby alleviate the progression of obesity in mice.

Objective To investigate the status and influencing factors of psychological distress associated with weight loss among young and middle-aged adults with obesity,so as to provide a theoretical basis for developing personalized interventions and improving psychological well-being.Methods A convenience sampling method was used to select young and middle-aged obese patients who visited the weight management clinic of a Grade A tertiary hospital in Jiangxi Province from October 2024 to May 2025.Data were collected using a general information questionnaire,the distress thermometer,the perceived social support scale,the brief illness perception questionnaire,and the simplified coping style questionnaire.Binary logistic regression was applied to identify factors influencing psychological distress.Results A total of 204 valid questionnaires were collected.The detection rate of significant psychological distress was 58.82%(120 cases).Regarding weight loss methods,32.84%of participants opted for medication.The top five issues reported on the psychological distress problem list were:appearance/body image,work/studies,lack of time/energy to care for elderly parents or children,bathing/dressing,and relationship with a partner.Binary logistic regression indicated that age,body mass index,waist circumference,history of chronic disease,perceived social support,illness perception,and negative coping style were significant influencing factors of psychological distress(P﹤0.05).Conclusions The rate of significant psychological distress is relatively high among young and middle-aged obese patients and is influenced by multiple factors.Medical staff may develop personalized interventions based on these factors to reduce the incidence of psychological distress.

Objective To analyze the serum metabolomic changes of preterm infants with bronchopulmonary dysplasia(BPD)at postmenstrual age(PMA)36 weeks,screen potential biomarkers and associated metabolic pathways,and assess their relationship with short-term respiratory outcomes.Methods A retrospective case-control study was conducted.Infants with gestational age 28-32 weeks admitted to the Children's Hospital Affiliated to Zhengzhou University from January to December 2024 were included.Twenty infants with BPD and 20 gestational age-,birth weight-,and sex-matched non-BPD preterm infants were included.Serum collected at PMA 36 weeks was subjected to untargeted metabolomics analysis,and associations with short-term respiratory outcomes were analyzed.Results Thirteen potential biomarkers distinguishing BPD were identified(area under the curve>0.75,P<0.05).Eight biomarkers—including terephthalic acid,phosphatidylinositol,fumarate,and lysophosphatidic acid—were significantly upregulated(FC≥1.5),while five biomarkers,such as 7α-hydroxy-3-oxo-4-cholestenoate ester and phosphatidylcholine,were significantly downregulated(FC≤1/1.5).Pathway analysis indicated five pathways associated with BPD,including glycerophospholipid metabolism and phenylalanine metabolism.Dysregulation of glycerophospholipid and bile acid metabolism may affect adverse short-term respiratory outcomes in infants with BPD.Conclusions The 13 significantly different metabolites may serve as biomarkers for the diagnosis of BPD.Glycerophospholipid metabolism is associated with the occurrence of BPD and with adverse short-term respiratory outcomes.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.