Objective : To investigate the impact of fecal microbiota transplantation (FMT) on the composition of 15 intestinal-derived estrogens and their metabolites (EMs) and its correlation with non-alcoholic fatty liver disease (NAFLD) . Methods: Thirty male C57BL/6J mice were divided into a normal control group (Control) , a high- sugar high-fat diet combined with low-dose CCl4 -induced NAFLD model group ( Model) , and a group of model mice treated with fecal microbiota from normal female mice (FMT) . After 17 weeks of modeling , liver pathology in each group was observed using HE staining , biochemical methods were used to measure serum alanine aminotrans- ferase (ALT) and aspartate aminotransferase (AST) levels , as well as hepatic triglyceride (TG) and total choles- terol (TC) levels. and the content of 15 EMs in portal vein serum was detected using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS) . The correlation between disease phenotype and intesti- nal EMs was analyzed using Pearson ′s method. Results: The NAFLD model was successfully established , and the FMT group showed improved liver structure and morphology , with significant decreases in liver function and hepatic lipids compared to the Model group. In NAFLD mice , the contents of E1 , E2 , and their 2- and 4-position metabo- lites in portal vein blood serum was reduced compared to normal mice , while the content of most 16- and 17-posi- tion metabolites ( except 16α-OHE1) increased compared to normal mice. Correlation analysis showed that ALT was strongly positively correlated with E3 and 17-epiE3 , and strongly negatively correlated with E1 , E2 , 4- MeOE1 , and 16α-OHE1 . The TC was strongly positively correlated with 17-epiE3 and strongly negatively correla- ted with E1 , 4-MeOE1 , and 16α-OHE1 . Conclusion FMT restores the disrupted composition of intestinal EMs and improves NAFLD.

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.

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.

ObjectiveThis study aimed to evaluate the clinical efficacy of Ruyi Zhenbaowan（RYZBW）in the treatment of initial and early knee osteoarthritis （KOA） through a prospective multicenter，randomized，double-blind，and placebo-parallel controlled trial. MethodFrom October 13^th， 2021 to December 25^th， 2021， 240 KOA subjects meeting the acceptance criteria were enrolled in 15 sub-centers including Wangjing Hospital， Chinese Academy of Chinese Medical Sciences， and they were randomly divided into observation group and control group， with 120 cases in each group. The intervention measures for the observation group were RYZBW + health education， and the intervention measures for the control group were RYZBW placebo + health education. The intervention period in both groups was four weeks， and they were followed up for four weeks after the intervention. The primary outcome measure was the total score of Western Ontario and McMaster University Osteoarthritis Index score （WOMAC score）， and the secondary outcome measures were the response rate of visual scale （VAS） pain score， WOMAC sub item scores （joint pain， joint stiffness， and joint function）， quality of life （SF-12） score， and traditional Chinese medicine （TCM） syndrome score. Result（1） Efficacy evaluation. The marginal model results showed that the observation group was better than the control group in improving the WOMAC total score and WOMAC pain score in the treatment of KOA with RYZBW， and the difference was statistically significant （P<0.05）. There was no significant difference between the two groups in improving VAS score response rate， WOMAC function score， WOMAC stiffness score， SF12-PCS （quality of life-physical health） score， SF12-MCS （quality of life-mental health） score， and TCM syndrome score. （2） Subgroup analysis. ① In terms of VAS score response rate， the response rate of the observation group was higher than that of the control group for subjects with baseline VAS score of （4， 5］， and the difference was statistically significant （P<0.05）. ② In terms of TCM syndrome score， for subjects aged ［56， 60］ and ［61， 65］， the decrease in total TCM syndrome score in the observation group was better than that in the control group， and the difference was statistically significant （P<0.05）. ConclusionTibetan medicine RYZBW has good clinical efficacy in improving WOMAC total score， VAS score response rate， WOMAC pain score， WOMAC function score， and TCM syndrome score for patients with initial and early KOA， which can fill the lack of Tibetan medicine RYZBW in the treatment of KOA and make a demonstration study for the inheritance and development of ethnic medicine.

Objective To elucidate the bidirectional causal relationship between lipid profiles and colorectal cancer(CRC)by using the two-sample and two-step Mendelian randomization(MR)methods,and to explore the mediating role and proportion of immune cells as intermediary factors.Methods The pooled statistical data related to the study were screened,and 179 lipids and CRC were analyzed using two-sample and two-step MR with the inverse variance weighted method.Simultaneously,the causal effect was verified via Bayesian weighted MR.Two-step MR analysis was conducted to determine whether a mediated effect was exerted on immune cell traits.Sensitivity,heterogeneity,and pleiotropy analyses were performed to verify the reliability of the study results.Results The causal relationship between nine lipid traits and CRC was preliminarily identified,and no reverse causal effect was found(P>0.05).The validity of the results was verified via Bayesian weighted MR(P<0.05).Twenty-seven types of immune cells were suggested to exert a causal effect on CRC.The causal effect of phosphatidylcholine(O-18:2_20:4)on CRC was determined via mediation analysis(OR:0.8579,95% CI=0.7395-0.9952,P=0.0429).The CD127-mediated proportion on CD45RA+CD4+T cells was 9.14% (β=-0.1052,P=0.0155).Conclusion A causal relationship exists between lipid traits and CRC,and the intervention of CD127 on CD45RA+CD4+T cell helps phosph-atidylcholine reduce the risk of CRC.

Background:The diversity and function of gut microbiota have been regarded as crucial factors affecting human health.With the advances in genetics and epidemiology,especially the application of Mendelian randomization analysis,a novel perspective has been provided for profoundly uncovering the causal relationship between gut microbiota and duodenal ulcer.Aims:To investigate the causal relationship between gut microbiota and duodenal ulcer through two-sample Mendelian randomization analysis.Methods:Genetic variation samples of the gut microbiota were screened from the MiBioGen database.Genetic loci related to duodenal ulcer were selected as instrumental variables from genome-wide association study.The inverse-variance weighted method,weighted median method,and MR-Egger regression analysis were used to assess the causal relationship between gut microbiota and duodenal ulcer.Tests for heterogeneity and horizontal pleiotropy were conducted to ensure the stability of the results.Results:Bacteroides(OR=0.998,95%CI:0.996-1.000,P=0.014),Prevotella_7(OR=0.999,95%CI:0.998-1.000,P=0.043)and Terrisporobacter(OR=0.998,95%CI:0.997-1.000,P=0.029)exhibited negative causal relationship with duodenal ulcer,while Bifidobacterium(OR=1.001,95%CI:1.000-1.003,P=0.046),Lachnoclostridium(OR=1.002,95%CI:1.001-1.004,P=0.007)and Olsenella(OR=1.001,95%CI:1.000-1.002,P=0.018)presented positive causal relationship with duodenal ulcer.The sensitivity analysis indicated that the influences of heterogeneity and horizontal pleiotropy on the causal relationship could be excluded.Conclusions:The two-sample Mendelian randomization analysis revealed that Bacteroides,Prevotella_7 and Terrisporobacter were protective factors for duodenal ulcer,while Bifidobacterium,Lachnoclostridium and Olsenella were risk factors.

Background:The diversity and function of gut microbiota have been regarded as crucial factors affecting human health.With the advances in genetics and epidemiology,especially the application of Mendelian randomization analysis,a novel perspective has been provided for profoundly uncovering the causal relationship between gut microbiota and duodenal ulcer.Aims:To investigate the causal relationship between gut microbiota and duodenal ulcer through two-sample Mendelian randomization analysis.Methods:Genetic variation samples of the gut microbiota were screened from the MiBioGen database.Genetic loci related to duodenal ulcer were selected as instrumental variables from genome-wide association study.The inverse-variance weighted method,weighted median method,and MR-Egger regression analysis were used to assess the causal relationship between gut microbiota and duodenal ulcer.Tests for heterogeneity and horizontal pleiotropy were conducted to ensure the stability of the results.Results:Bacteroides(OR=0.998,95%CI:0.996-1.000,P=0.014),Prevotella_7(OR=0.999,95%CI:0.998-1.000,P=0.043)and Terrisporobacter(OR=0.998,95%CI:0.997-1.000,P=0.029)exhibited negative causal relationship with duodenal ulcer,while Bifidobacterium(OR=1.001,95%CI:1.000-1.003,P=0.046),Lachnoclostridium(OR=1.002,95%CI:1.001-1.004,P=0.007)and Olsenella(OR=1.001,95%CI:1.000-1.002,P=0.018)presented positive causal relationship with duodenal ulcer.The sensitivity analysis indicated that the influences of heterogeneity and horizontal pleiotropy on the causal relationship could be excluded.Conclusions:The two-sample Mendelian randomization analysis revealed that Bacteroides,Prevotella_7 and Terrisporobacter were protective factors for duodenal ulcer,while Bifidobacterium,Lachnoclostridium and Olsenella were risk factors.

Objective:To evaluate the effect of ozone preconditioning on splenic natural killer (NK) cells in septic mice.Methods:Twenty-four SPF-grade male C57BL/6 mice, aged 6-8 weeks, weighing 18-22 g, were divided into 4 groups ( n=6 each) according to the random number table method: control group (group C), lipopolysaccharide (LPS)group, ozone+ LPS group (O 3+ LPS) and air+ LPS group (Air+ LPS). The sepsis was induced by intraperitoneal injection of LPS 10 mg/kg. Ozone preconditioning was started at 5 days before developing the model: ozone 1 mg/kg was intraperitoneally injected once a day for 5 consecutive days, the equal volume of air was injected in Air+ LPS group. The survival was observed within 72 h after LPS injection, and sepsis score and ear temperature (once every 2 h, an average was calculated) were recorded. The posterior orbital venous blood samples were taken at 6 and 24 h after LPS injection for determination of serum interferon-γ (IFN-γ) and interleukin-10 (IL-10) concentrations using enzyme-linked immunosorbent assay. The spleen was then taken, and a single cell suspension of the spleen was prepared for measurement of the percentage of NK cells in the spleen by flow cytometry. Results:Compared with C group, the ear temperature, sepsis score and 72-h survival rate were significantly decreased, serum IFN-γ and IL-10 concentrations were increased at each time point after LPS injection, and the percentage of splenic NK cells was increased at 6 h after LPS injection and decreased at 24 h after LPS injection in LPS, Air+ LPS and O 3+ LPS groups ( P<0.05). Compared with LPS group, the ear temperature, sepsis score and 72-h survival rate were significantly increased, serum IFN-γ concentrations were decreased at each time point after LPS injection, serum IL-10 concentrations were increased at each time point after LPS injection, and the percentage of splenic NK cells was decreased at 6 h after LPS injection and increased at 24 h after LPS injection in O 3+ LPS group ( P<0.05), and no significant change was found in the parameters mentioned above in Air+ LPS group ( P>0.05). Conclusions:The mechanism by which ozone preconditioning reduces sepsis may be related to reduction of inflammatory responses and regulation of splenic NK cell levels in septic mice.

OBJECTIVE To systematically review the efficacy and safety of tranexamic acid （TXA） for hemostasis in cancer patients before and during surgery， and to provide evidence-based reference for clinical drug use. METHODS Retrieved from PubMed， Embase， the Cochrane Library， CNKI， VIP and Wanfang databases， randomized controlled trials （RCTs） about tranexamic acid （trial group） versus 0.9% Sodium chloride injection， Lactated Ringer’s solution， Compound electrolyte solution or placebo （control group） for cancer surgery were electronically searched from the inception to June 9， 2022. After literature screening and data extraction， the quality of included RCTs were evaluated by bias risk assessment tool recommended by Cochrane system evaluator manual 5.1.0. RevMan 5.3 software was used for meta-analysis or descriptive analysis， sensitivity analysis and publication bias analysis. RESULTS A total of 2 032 patients in 22 RCTs were included for meta-analysis. Results of meta-analysis showed that the blood transfusion rate [RR＝0.59， 95%CI （0.50， 0.69）， P＜0.000 01] and the volume of erythrocyte suspension infusion [MD＝－0.53， 95%CI （－0.92， －0.14）， P＝0.007] in trial group were significantly lower than control group； there was no statistical significance in the incidence of thromboembolic events [RR＝0.44， 95%CI （0.16， 1.17）， P＝0.10] or post-operative mortality [RR＝1.27， 95%CI（0.32，5.08）， P＝0.73] between two groups. Results of descriptive analysis showed that the total blood loss and postoperative drainage volume were still controversial between two groups. The results of sensitivity analysis showed that the results were basically stable. The results of publication bias analysis showed that there was little possibility of publication bias in this study. CONCLUSIONS TXA can significantly decrease the blood transfusion， reduce the volume of erythrocyte suspension infusion， whereas does not increase the incidence of thromboembolic events and post-operative mortality in cancer surgery.

Objective:To investigate the value of net water uptake (NWU) in predicting malignant edema (ME) in large hemispheric infarction (LHI).Methods:Fifty-six patients suffering from LHI in the General Hospital of Northern Theater Command from September 2017 to July 2018 were retrospectively analyzed, and their NWU was calculated separately. Patients were divided into two groups according to the occurrence of ME, which was defined as space-occupying infarct requiring decompressive craniectomy or death resulting from cerebral hernia in seven days from onset. The clinical characteristics were analyzed, and receiver operating characteristic (ROC) curve and respective area under curve (AUC) were used to assess the value of NWU and other factors.Results:After adjusting for atrial fibrillation, National Institutes of Health Stroke Scale scores at admission, and time from onset to imaging, multivariable analysis showed that NWU was an independent predictor of ME ( OR=1.226，95% CI 1.040-1.446, P=0.015). According to the ROC curve, NWU≥13.08% identified ME with great predictive power (AUC=0.813;sensitivity 0.64, specificity 0.94). Conclusions:NWU is an important predictor of ME in patients with LHI. It can help identify patients at risk of ME.