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.

Chinese patent medicines are the core preparations for disease prevention and treatment in clinical traditional Chinese medicine （TCM）. Their quality is the key to ensuring safe and effective medication and promoting the high-quality development of the TCM industry. At present， the quality evaluation of Chinese patent medicines faces prominent problems， such as inadequate control of quality consistency， over-reliance on single indicators， one-sided evaluation dimensions， unstable statistical methods， and poor implementability of research findings. These defects lead to insufficient scientificity of evaluation results， making it difficult to support the implementation of policies including centralized procurement， high quality， and favorable prices for Chinese patent medicines. According to the core requirements of quality evaluation for Chinese patent medicines， this study established a four-dimensional comprehensive evaluation system encompassing consistency index（CI）， content index（MI）， effect index（EI）， and preparation index（PI）. All evaluation indicators were normalized to achieve horizontal comparability. Meanwhile， an improved radar chart was introduced to realize the visualization of evaluation results. This method can systematically integrate four types of core quality attributes： Quality consistency， component content， biological activity， and preparation characteristics. It can effectively distinguish quality differences among products of the same specification from different manufacturers. The evaluation results are unique， stable， and not affected by the addition or reduction of samples， which takes scientificity， objectivity， and operability into account. This method can provide scientific and technical support for screening high-quality Chinese patent medicines and implementing policies of centralized procurement， high quality， and favorable prices. Moreover， it has important practical significance for improving the quality evaluation system of Chinese patent medicines and advancing the standard and modern development of TCM.

ObjectiveTo evaluate the clinical efficacy and safety of Qidan Tangshen Granules （芪丹糖肾颗粒， QTG） in the treatment of early diabetic kidney disease （DKD） with qi deficiency， blood stasis， and kidney deficiency syndrome， and to explore its mechanism. MethodsA double-blind， double-simulated method was used to enroll 200 patients with early DKD and qi deficiency， blood stasis， and kidney deficiency syndrome. Patients were randomly assigned in a 1∶1 ratio to the treatment group （100 cases） and the control group （100 cases）. The treatment group received QTG plus a valsartan capsule simulant， while the control group received valsartan capsules plus a QTG simulant， both for 12 weeks. The primary outcome was the urinary albumin-to-creatinine ratio （UACR）. Secondary outcomes included estimated glomerular filtration rate （eGFR）， fasting blood glucose （FBG）， 2-hour postprandial blood glucose （PBG）， glycated hemoglobin （HbA1c）， and traditional Chinese medicine （TCM） syndrome scores （including individual symptom scores for fatigue， dull complexion， soreness and weakness of the waist and knees， headache and chest pain， irritability， spontaneous sweating， thirst and polydipsia， polyphagia， polyuria， numbness of the limbs， and the total TCM syndrome score）. Oxidative stress markers including serum 8-hydroxy-2'-deoxyguanosine （8-OHDG）， 3-nitrotyrosine （3-NT）， and superoxide dismutase （SOD） were also assessed. Clinical efficacy and TCM syndrome efficacy were evaluated after treatment， and routine blood tests， urinalysis， and liver function tests were conducted and adverse reaction during the tria was recorded to assess safety. ResultsA total of 191 patients completed the study （95 in the treatment group and 96 in the control group）. The treatment group showed significant reductions in UACR， FBG， PBG， and HbA1c levels after treatment （P＜0.05 or P＜0.01）. The single TCM symptom scores except for polyphagia and total TCM syndrome scores significantly decreased （P＜0.05 or P＜0.01）. Compared to the control group， the treatment group had signi-ficantly lower UACR， FBG， PBG levels， and total TCM syndrome scores， sinlge symptoms scores except for polyphagia and limb numbness （P＜0.05 or P＜0.01）. Among 40 randomly selected patients （21 cases in the treatment group and 19 cases in the control group） for oxidative stress analysis， there were no significant differences in SOD， 3-NT， and 8-OHDG levels before and after treatment within or between groups （P＞0.05）. The overall effective rate in the treatment group was 64.2% （61/95） and 39.6% （38/96） in the control group， while the TCM syndrome efficacy rates were 80.0% （76/95） and 24.0% （23/96）， respectively， with the treatment group showing superior efficacy （P＜0.01）. No significant differences were observed in routine blood tests， urinalysis， or liver function indices before and after treatment in either group （P＞0.05）. The incidence of adverse reactions was 8.4% （8/95） in the treatment group and 9.4% （9/96） in the control group， with no statistically significant difference （P＞0.05）. ConclusionQTG can effectively reduce UACR and blood glucose levels， alleviate clinical symptoms， and improve clinical efficacy in patients with early DKD with qi deficiency， blood stasis， and kidney deficiency syndrome. The treatment is well-tolerated and safe， with no significant impact on oxidative stress markers.

ObjectiveThis study proposes a novel single-cell protein localization method based on a class perception graph convolutional network (CP-GCN) to overcome several critical challenges in protein microscopic image analysis, including the scarcity of cell-level annotations, inadequate feature extraction, and the difficulty in achieving precise protein localization within individual cells. The methodology involves multiple innovative components designed to enhance both feature extraction and localization accuracy. MethodsFirst, a class perception module (CPM) is developed to effectively capture and distinguish semantic features across different subcellular categories, enabling more discriminative feature representation. Building upon this, the CP-GCN network is designed to explore global features of subcellular proteins in multicellular environments. This network incorporates a category feature-aware module to extract protein semantic features aligned with label dimensions and establishes a subcellular relationship mining module to model correlations between different subcellular structures. By doing so, it generates co-occurrence embedding features that encode spatial and contextual relationships among subcellular locations, thereby improving feature representation. To further refine localization, a multi-scale feature analysis approach is employed using the K-means clustering algorithm, which classifies multi-scale features within each subcellular category and generates multi-cell class activation maps (CAMs). These CAMs highlight discriminative regions associated with specific subcellular locations, facilitating more accurate protein localization. Additionally, a pseudo-label generation strategy is introduced to address the lack of annotated single-cell data. This strategy segments multicellular images into single-cell images and assigns reliable pseudo-labels based on the CAM-predicted regions, ensuring high-quality training data for single-cell analysis. Under a transfer learning framework, the model is trained to achieve precise single-cell-level protein localization, leveraging both the extracted features and pseudo-labels for robust performance. ResultsExperimental validation on multiple single-cell test datasets demonstrates that the proposed method significantly outperforms existing approaches in terms of robustness and localization accuracy. Specifically, on the Kaggle 2021 dataset, the method achieves superior mean average precision (mAP) metrics across 18 subcellular categories, highlighting its effectiveness in diverse protein localization tasks. Visualization of the generated CAM results further confirms the model’s capability to accurately localize subcellular proteins within individual cells, even in complex multicellular environments. ConclusionThe integration of the CP-GCN network with a pseudo-labeling strategy enables the proposed method to effectively capture heterogeneous cellular features in protein images and achieve precise single-cell protein localization. This advancement not only addresses key limitations in current protein image analysis but also provides a scalable and accurate solution for subcellular protein studies, with potential applications in biomedical research and diagnostic imaging. The success of this method underscores the importance of combining advanced deep learning architectures with innovative training strategies to overcome data scarcity and improve localization performance in biological image analysis. Future work could explore the extension of this framework to other types of microscopic imaging and its application in large-scale protein interaction studies.

This study aims to explore the mechanism of Huanglian Jiedu Decoction(HJD) in treating acute liver injury(ALI) in the mouse model of sepsis induced by lipopolysaccharide(LPS). Fifty-four male C57BL/6 mice were randomized into six groups: blank group, model group, low-, medium-, and high-dose group HJD, and dexamethasone group. The mouse model of sepsis was established by intraperitoneal injection of LPS after 7 days of gavage with HJD, and dexamethasone(0.2 mL) was injected intraperitoneally 1.5 h after modeling. The murine sepsis score(MSS) was recorded 12 h after modeling. The levels of alanine aminotransferase(ALT) and aspartate aminotransferase(AST) in the liver tissue and tumor necrosis factor-α(TNF-α) and interleukin-6(IL-6) in the serum were measured by ELISA. Hematoxylin-eosin(HE) staining was used to observe the pathological changes of the mouse liver. The content of light chain 3 of microtubule-associated protein 1(LC3) was detected by immunofluorescence, and that of sirtuin 1(SIRT1) was detected by immunohistochemistry. The mRNA levels of adenosine 5'-monophosphate-activated protein kinase(AMPK), LC3, and P62 were detected by RT-PCR. Western blot was employed to determine the protein levels of AMPK, p-AMPK, and SIRT1 in the liver tissue. The results showed that compared with model group, drug interventions decreased the MSS and liver injury indicators, lowered the levels of inflammatory cytokines, improved the liver tissue structure, upregulated the protein levels of of p-AMPK/AMPK and SIRT1 and the mRNA levels of AMPK and LC3, and downregulated the mRNA level of P62. To sum up, HJD can regulate the autophagy level and reduce inflammation to ameliorate acute liver injury in septic mice by activating the AMPK/SIRT1 autophagy pathway.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Sirtuin 1/genetics* ; Male ; Mice ; Sepsis/metabolism* ; Mice, Inbred C57BL ; Autophagy/drug effects* ; AMP-Activated Protein Kinases/genetics* ; Liver/metabolism* ; Humans ; Signal Transduction/drug effects* ; Disease Models, Animal ; Tumor Necrosis Factor-alpha/genetics*

OBJECTIVE: To explore the therapeutic effect of polygonum cuspidatum glycoside on steroid-induced osteonecrosis of the femoral head(SONFH) in rats and its potential mechanism of protecting bone tissue by regulating the Janus kinase 2/signal transducer and activator of transcription 3 signaling pathway(JAK2/STAT3). METHODS: Fifty male SD rats were randomly divided into control group, model group, low-dose polygonum cuspidatum glycoside group (polygonum cuspidatum glycoside-L), high-dose polygonum cuspidatum glycoside group (polygonum cuspidatum glycoside-H), and polygonum cuspidatum glycoside-H+Colivelin (JAK2/STAT3 pathway activator) group. SONFH model was induced by lipopolysaccharide and dexamethasone. The treatment groups were given polygonum cuspidatum glycoside orally(polygonum cuspidatum glycoside-L 10 mg·kg^-1, polygonum cuspidatum glycoside-H 20 mg·kg^-1, and the polygonum cuspidatum glycoside-H+Colivelin group was injected with Colivelin (1 mg·kg^-1) intraperitoneally once a day, while the control and model groups were given an equal volume of saline for 6 weeks. The observed indicators included serum calcium(Ca), serum phosphorus (P), alkaline phosphatase, and transforming growth factor β1(TGF-β1) levels, micro-CT scanning, hematoxylin-eosin staining, and Western blot detection of JAK2/STAT3 signaling pathway and osteogenic differentiation marker genes, including Runt-related transcription factor 2 (Runx2), bone morphogenetic protein 2 (BMP2), and osteopontin (OPN) protein expression. RESULTS: Compared with the model group, the trabecular bone area percentage in the polygonum cuspidatum glycoside-L and polygonum cuspidatum glycoside-H groups was significantly increased, and the empty lacunar rate was significantly decreased (P<0.05). Micro-CT analysis showed that the bone volume fraction, trabecular number, and thickness increased, and the trabecular separation decreased in the polygonum cuspidatum glycoside-treated groups(P<0.05). Serum biochemical tests found that the serum Ca and P concentrations in the polygonum cuspidatum glycoside-L and polygonum cuspidatum glycoside-H groups were restored, the alkaline phosphatase levels decreased, and the transforming growth factor β1 levels increased (P<0.05). Western blot analysis showed that polygonum cuspidatum glycoside significantly inhibited the activation of the JAK2/STAT3 signaling pathway in the model group and promoted the expression of osteogenic differentiation marker genes such as Runx2, BMP2, and OPN (P<0.05). Compared with the polygonum cuspidatum glycoside-H group, the improvements in the polygonum cuspidatum glycoside-H+Colivelin group were somewhat weakened, indicating the importance of the JAK2/STAT3 signaling pathway in the action of polygonum cuspidatum glycoside. CONCLUSION polygonum cuspidatum glycoside promotes osteogenic differentiation, improves bone microstructure, and has significant therapeutic effects on rat SONFH by regulating the JAK2/STAT3 signaling pathway.
Animals ; Male ; Janus Kinase 2/physiology* ; Rats, Sprague-Dawley ; Rats ; Signal Transduction/drug effects* ; Glucosides/pharmacology* ; STAT3 Transcription Factor/genetics* ; Femur Head Necrosis/chemically induced* ; Stilbenes/pharmacology*

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Adverse pregnancy outcome (APO) refers to any pregnancy outcome other than a normal live birth, mainly including preeclampsia, fetal growth restriction, recurrent pregnancy loss, etc., which seriously threaten the health of both the mother and the fetus. Most APOs originate from abnormal uterine endometrial microenvironment before pregnancy. Once a woman confirms pregnancy, intervening in the uterine endometrium at this stage is often too late. The uterine endometrium, as a key site for embryo implantation and development, its abnormal microenvironment can lead to APO. Therefore, in-depth exploration of the relationship between the pre-pregnancy uterine endometrial microenvironment and APO is helpful for clarifying the mechanism of APO occurrence and providing key ideas and methods for early prevention and treatment. This article reviews the latest research on the mechanism of action between uterine endometrial microenvironment and APO, systematically summarizing the research progress and main conclusions in this field from several aspects such as immune imbalance, inflammatory response, abnormal energy metabolism, and senescence of uterine endometrial stromal cells.

Objective:To investigate the impact of Wenyang Ligong Decoction on pregnancy outcomes after transcervical resection of adhesions (TCRA) in patients with intrauterine adhesions (IUA).Methods:A retrospective cohort study was conducted to collect clinical data from 151 patients with IUA who underwent TCRA in the Reproductive Medicine Department of the First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine between January 2020 and January 2023. Patients were divided into a Traditional Chinese medicine (TCM) group (79 patients) and a control group (72 patients) based on whether they received Wenyang Ligong Decoction after TCRA. The TCM group received estrogen and progesterone sequential therapy post-surgery, combined with Wenyang Ligong Decoction for 2-3 menstrual cycles. The control only received sequential treatment with estrogen and progesterone.Pregnancy outcomes one year after surgery were compared between the two groups. After adjusting for confounding factors using multivariate Cox regression analysis, the effect of Wenyang Ligong Decoction on pregnancy outcomes after TCRA in patients with IUA was observed.Results:The live birth rate [54.43%　(43/79)], the ongoing pregnancy rate [56.96% (45/79)], and the clinical pregnancy rate [52.03% (49/79)] were higher in the TCM group than in the control [26.39% (19/72), P<0.001; 30.56% (22/72), P=0.001;37.50% (27/72), P=0.003], with statistically significant differences. There were no statistically significant differences in early abortion rate and late abortion rate between the TCM group and the control (all P>0.05). According to the stratified analysis by preparation methods, in the natural conception group, the live birth rate [60.78% (31/51)], the ongoing pregnancy rate [62.75% (32/51)], and the clinical pregnancy rate [68.63% (35/51)] in the TCM group were significantly higher than those in control group [21.43% (12/56), P<0.001; 26.79% (15/56), P<0.001; 33.93% (19/56), P<0.001]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05). In the assisted reproductive technology group, there were no statistically significant differences in live birth rate, ongoing pregnancy rate, clinical pregnancy rate, early miscarriage rate, and late miscarriage rate between the two groups (all P>0.05). According to the stratified analysis by age, in the <35-year-old patients, the live birth rate [66.00% (33/50)], the ongoing pregnancy rate [70.00% (35/50)], and the clinical pregnancy rate [74.00% (37/50)] in the TCM group were significantly higher than those in control group [41.30% (19/46), P=0.015; 47.83% (22/46), P=0.027; 54.35% (25/46), P=0.044]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05). In the ≥35-year-old patients, the live birth rate [34.48% (10/29)], the ongoing pregnancy rate [34.48% (10/29)], and the clinical pregnancy rate [41.38% (12/29)] in the TCM group were significantly higher than those in control group [0%, P=0.001; 0%, P=0.001; 7.69% (2/26), P=0.004]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05).Univariate Cox regression analysis showed that age, number of previous uterine cavity interventions, IUA score, degree of IUA, and endometrial thickness after TCRA were independent risk factors for live births, and age, IUA score, degree of IUA, intima thickness after TCRA, and treatment group were the influencing factors of persistent pregnancy (all P<0.05). After adjusting for confounding factors, multivariate Cox regression analysis showed that Wenyang Ligong Decoction significantly improved the live birth rate ( HR=3.19, 95% CI: 1.77-8.11, P=0.001) and the rate of continuous pregnancy ( HR=3.66, 95% CI: 1.80-7.48, P<0.001) in patients with IUA. Conclusion:Wenyang Ligong Decoction can significantly improve pregnancy outcomes after TCRA in patients with IUA.

Objectives:To compare the incision exposure time,and accuracy rates of puncture and screw placement of open screw placement with robot-assisted percutaneous needle puncture technique with tradition-al robot-assisted open screw placement,and to explore the learning curve of such technique.Methods:The clinical data of 53 patients who underwent robot-assisted open pedicle screw fixation surgery between August 2020 and December 2023 were retrospectively analyzed.According to the surgical methods,21 patients were divided into observation group(treated with robot-assisted pedicle screw placement with percutaneous needle puncture technique),and the other 32 patients were divided into control group(treated with traditional robot-assisted open pedicle screw placement).There were no statistically significant differences in gender,age,and disease type between the two groups of patients(P＞0.05).The total operation time,incision exposure time,blood loss,accuracy rate of puncture,and accuracy rate of screw placement,as well as complications,were recorded.The patients in the observation group were divided into three groups(A,B and C)according to the order of operation,with 7 cases in each group,and the total operation time,robot operation time,accuracy rate of puncture,accuracy rate of screw placement,and complications in each group were compared.ln curve regression analysis was used to analyze the trend of operation time with the number of operations.Results:There was no statistical difference between the observation group and control group in the total operation time(265.5±108.8min vs 309.2±154.9min,P＞0.05).The incision exposure time in the observation group(189.00±94.74min)was statistically less than that in the control group(309.2±154.9min)(P＜0.05).In the control group,the incision was exposed immediately at the onset of surgery,so the incision exposure time was the same as the total operation time.The accuracy rate of puncture between the observation group and control group showed no statistical difference(94.2％vs 95.0％,P＞0.05).The accuracy rates of screw placement of both groups were 100％.There was no statistical difference in blood loss between the observation group and con-trol group(343.8±207.0mL vs 480.6±392.0mL,P＞0.05).There were 1 cases of incision infection in the obser-vation group and 3 cases in the control group,with no statistical difference(P＞0.05).The total operation time of groups A,B and C was 350.9±92.8min,263.7±116.2min and,181.9±25.8min respectively,and the robot operation time was 90.1±25.1min,73.9±12.1min and,65.4±9.5min respectively.The differences between the three groups were statistically significant(P＜0.05).The results of the ln curve regression analysis showed that the total operation time[y=-71.324ln(x)+419.603]and the robot operation time[y=-15.757ln(x)+110.527]de-creased significantly with the increase of the number of cases and reached a relatively stable level in the 8th case.There was no significant difference in the accuracy rate of puncture,accuracy rate of screw placement and the incidence of complications between groups A,B and C(P＞0.05).Conclusions:Robot-assisted percuta-neous needle puncture technique reduces the incision exposure time and maintains a high screw placement accuracy.With the increase of the number of surgical cases,the total operation time and robot operation time decrease,and the learning curve becomes stable fast.