OBJECTIVE To evaluate the effects of ivabradine on vascular endothelial function in patients with coronary artery disease. METHODS PubMed， Embase， the Cochrane Library， Web of Science， CNKI， Wanfang Data， VIP and CBM databases were retrieved to collect randomized controlled trials （RCTs） about ivabradine （intervention group） versus placebo or β-blocker （control group） from the inception to Mar. 20th 2023. The meta-analysis was performed by using RevMan 5.4 software after literature screening， data extraction and quality evaluation. RESULTS A total of 12 RCTs were included， involving 1 206 patients. The results of meta-analysis showed that the levels of flow-mediated dilation （FMD） [MD＝1.71， 95%CI （0.96， 2.46）， P＜0.000 01] and nitric oxide （NO） [MD＝5.80， 95%CI （5.02， 6.59）， P＜0.000 01] in the intervention group were significantly higher than control group， while endothelin-1（ET-1） level was significantly lower than control group [MD＝－7.45， 95%CI （－8.42， －6.47）， P＜0.000 01]. There was no statistical significance in nitroglycerin-mediated dilation （NMD） level between 2 groups [MD＝0.13， 95%CI（－0.74， 1.00）， P＝0.77]. Subgroup analyses based on the different medications and intervention time in the control group showed better improvement in FMD level of patients receiving ivabradine， compared with placebo （P＜0.05）； compared with placebo and β-blocker， the level of NO in patients receiving ivabradine was improved significantly （P＜0.05）， while ET-1 level was decreased significantly （P＜0.05）. Regardless of the duration of the intervention， the levels of FMD， NO， and ET-1 in the intervention group were significantly improved compared to the control group （P＜0.01）， while the difference in NMD was not statistically significant （P＞0.05）. CONCLUSIONS Ivabradine can improve vascular endothelial function in patients with coronary artery disease.

To analyze the host factors affecting the drug resistance of Helicobacter pylori (Hp).

Objectives:To assess the effectiveness and safety of ivabradine for the treatment of chronic heart failure in the context of the new quadruple combination. Methods:Clinical data of 656 chronic heart failure patients hospitalized in Nanjing Drum Tower Hospital from March 2021 to June 2022 were retrospectively collected,and the patients were divided into control group(n=361)and observation group(n=295)according to ivabradine use,and both groups were treated with the new quadruple drug therapy.Propensity score matching was performed,268 patients in the observation group and 268 patients in the control group were successfully matched.The effectiveness(primary endpoint was the composite endpoint of cardiovascular death and rehospitalisation for worsening heart failure within 1 year of discharge;secondary endpoints were rehospitalisation for worsening heart failure,all-cause rehospitalisation,cardiovascular death,and all-cause death)and safety outcome measures(including bradycardia,atrial fibrillation,blurred vision,renal impairment,and hypertension)were compared between the two groups at 1 year after treatment. Results:After matching,there were no statistically significant differences at baseline characteristics between the two groups.Kaplan-Meier survival curve showed that the occurrence rates of primary endpoints(P=0.031),readmission for worsening heart failure(P=0.020),and all-cause readmission(P=0.036)were lower in the observation group than in the control group.Multivariate Cox proportional hazard regression analysis showed that the occurrence rates of primary endpoint events(P=0.045)and readmission for heart failure worsening(P=0.028)were lower in the observation group than in the control group. Conclusions:The ivabradine use on top of the new quadruple therapy regimen in patients with chronic heart failure is beneficial to improve one-year prognosis with favorable safety profile.

Objective lo investigate the protective effect of dihydromyricetin(DHM)against exercise-induced muscle damage(EIMD)in mice and its potential mechanism. Methods Adult male C57BL/6J mice were randomly divided into control group(CG),exercise group(EG),and exercise+100 mg/kg weightd DHM(DHM)group.The intervention lasted for four weeks,during which the animals in the EG and DHM groups were subjected to exercise training for 1 h per day.The day after the training,a 90-min treadmill exercise(slope:0 and speed:18 m/min)was conducted in both EG and DHM groups.Samples of blood and gastrocnemius muscles were harvested from the three groups 24 h after the exercise,followed by the measurement of serum creatine kinase(CK)and lactate dehydrogenase(LDH)activities,total superoxide dismutase(T-SOD)activity,malondialdehyde(MDA),and skeletal muscle mitochondrial enzyme complex Ⅰ and Ⅱ activities.Histological changes in the skeletal muscle were observed by transmission electron microscopy,and the protein expressions of mitochondrial function-related pathways were detected by Western blotting. Results Skeletal muscle morphological changes and mitochondrial damage were alleviated in the DHM group compared to those in the EG.The activities of EIMD markers CK and LDH and the level of lipid peroxidation were notably repressed and the serum T-SOD activity was enhanced after DHM intervention.Western blotting demonstrated that the expressions of sirtuin type 3(SIRT3),estrogen-related receptor alpha,and peroxisome proliferator-activated receptor-gamma coactivator-1 alpha in the skeletal muscle of mice increased after the DHM intervention. Conclusion DHM can relieve EIMD in mice,possibly by promoting the recovery of the mitochondrial structure and function in the skeletal muscle of mice after high-intensity exercise via the activation of the SIRT3 signaling pathway.

italic>Polygonum capitatum is a characteristic Miao medicine in Guizhou, commonly used in clinical practice to treat gastrointestinal and urinary tract infections. Research has found that it has good antibacterial and anti-inflammatory effects, and its main active ingredient is flavonoids. Lavonoid O-methyltransferase (FOMT) is a key enzyme for oxymethylation modification of flavonoid compounds. In order to understand the function and properties of FOMT protein in Polygonum capitatum, the transcriptome was sequenced by Illumina HiSeq 4000 high throughput sequencing technology. Then, the obtained transcripts were annotated and analyzed, and the whole genome of the FOMT gene family in Polygon capitalis was mined and identified. A total of 99 298 Unigenes were obtained, of which 71 514 were successfully annotated by the public database. In the genome of Polygonum capitatum, a total of 50 FOMT genes were identified. The phylogenetic tree showed that FOMT genes were divided into two subfamilies: caffeoyl CoA O-methyltransferase (CCoAOMT) and caffeic acid O-methyltransferase (COMT). Gene sequence analysis showed that the number of FOMT encoded amino acids ranged from 99 to 1 053 aa, the molecular weight ranged from 11 224.91 to 86 687.42 Da, and the isoelectric point ranged from 4.79 to 9.45. The 50 FOMT family members were hydrophobic proteins. Subcellular localization results showed that 54% of FOMT subfamily CCoAOMT and COMT members were located in cytoplasm and 28% were located in chloroplasts. The FOMT gene was tissue specific and highly expressed in the flowers of Polygonum capitatum, followed by the stems, and the least expressed in the roots. In this study, the FOMT gene family of Polygonum capitatum was identified and analyzed to provide theoretical basis for further study of FOMT function and biosynthesis of methylated flavonoids.

Thyroglobulin(Tg)is a glycoprotein with large molecular weight,which is synthesized and secreted into the bloodstream by thyroid follicular cells.The concentration level of Tg in blood is one of the important biomarkers for diagnosis of thyroid diseases such as differentiated thyroid cancer(DTC),subacute thyroiditis,etc..Radioimmunoassay(RIA),immunoradiometric assay(IRMA),and immunochemiluminescence assay(ICMA)are the main clinical methods for detecting Tg.Recently,for meeting the requirement of detecting low concentration of Tg in blood after thyroid clearance surgery,researchers have developed various high-performance analysis methods for detecting Tg concentration in blood samples,providing new assays for thyroid disease screening and efficacy evaluation.This review summarized the analysis methods of Tg,especially the new progresses in the biosensors for monitoring low concentration of Tg in blood during the past five years.The current technical challenges of these methods in clinical applications were briefly discussed,which might provide useful information for developing new liquid biopsy methods of DTC.

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.

Lipids,including fats(triglycerides)and lipoids(phospholipids and sterols),not only serve as an energy source for the body but also play a pivotal role throughout the reproductive process,particularly in the establishment and maintenance of early pregnancy.This encompasses the regulate of early embryonic development and uterine tolerance,and the facilitation of embryo implantation.Given the diversity of lipids,this review focuses on extensively studied lipid mediators such as polyunsaturated fatty acids,endocannabinoids,prostaglandins,lysophosphatidic acid,sphingolipids and steroid hormones.It systematically elaborates on the regulatory effects of fatty acid,phospholipid,and cholesterol metabolism on the formation of endometrial receptivity and embryo implantation,as well as the potential underlying mechanisms.The review aims to provide new insights and feasible intervention approaches for predicting and improving the outcomes of natural pregnancy and/or assisted reproductive technology.

Objective: To establish a predictive model for survival benefit of patients with intrahepatic cholangiocarcinoma (ICC) who received adjuvant chemotherapy after radical resection. Methods: The clinical and pathological data of 249 patients with ICC who underwent radical resection and adjuvant chemotherapy at 8 hospitals in China from January 2010 to December 2018 were retrospectively collected. There were 121 males and 128 females,with 88 cases>60 years old and 161 cases≤60 years old. Feature selection was performed by univariate and multivariate Cox regression analysis. Overall survival time and survival status were used as outcome indicators,then target clinical features were selected. Patients were stratified into high-risk group and low-risk group,survival differences between the two groups were analyzed. Using the selected clinical features, the traditional CoxPH model and deep learning DeepSurv survival prediction model were constructed, and the performance of the models were evaluated according to concordance index(C-index). Results: Portal vein invasion, carcinoembryonic antigen>5 μg/L,abnormal lymphocyte count, low grade tumor pathological differentiation and positive lymph nodes>0 were independent adverse prognostic factors for overall survival in 249 patients with adjuvant chemotherapy after radical resection (all P<0.05). The survival benefit of adjuvant chemotherapy in the high-risk group was significantly lower than that in the low-risk group (P<0.05). Using the above five features, the traditional CoxPH model and the deep learning DeepSurv survival prediction model were constructed. The C-index values of the training set were 0.687 and 0.770, and the C-index values of the test set were 0.606 and 0.763,respectively. Conclusion: Compared with the traditional Cox model, the DeepSurv model can more accurately predict the survival probability of patients with ICC undergoing adjuvant chemotherapy at a certain time point, and more accurately judge the survival benefit of adjuvant chemotherapy.

Objectives: To construct a nomogram for prediction of intrahepatic cholangiocarcinoma (ICC) lymph node metastasis based on inflammation-related markers,and to conduct its clinical verification. Methods: Clinical and pathological data of 858 ICC patients who underwent radical resection were retrospectively collected at 10 domestic tertiary hospitals in China from January 2010 to December 2018. Among the 508 patients who underwent lymph node dissection,207 cases had complete variable clinical data for constructing the nomogram,including 84 males,123 females,109 patients≥60 years old,98 patients<60 years old and 69 patients were pathologically diagnosed with positive lymph nodes after surgery. Receiver operating characteristic curve was drawn to calculate the accuracy of preoperative imaging examinations to determine lymph node status,and the difference in overall survival time was compared by Log-rank test. Partial regression squares and statistically significant preoperative variables were screened by backward stepwise regression analysis. R software was applied to construct a nomogram,clinical decision curve and clinical influence curve,and Bootstrap method was used for internal verification. Moreover,retrospectively collecting clinical information of 107 ICC patients with intraoperative lymph node dissection admitted to 9 tertiary hospitals in China from January 2019 to June 2021 was for external verification to verify the accuracy of the nomogram. 80 patients with complete clinical data but without lymph node dissection were divided into lymph node metastasis high-risk group and low-risk group according to the score of the nomogram among the 858 patients. Log-rank test was used to compare the overall survival of patients with or without lymph node metastasis diagnosed by pathology. Results: The area under the curve of preoperative imaging examinations for lymph node status assessment of 440 patients was 0.615,with a false negative rate of 62.8% (113/180) and a false positive rate of 14.2% (37/260). The median survival time of 207 patients used to construct a nomogram with positive or negative postoperative pathological lymph node metastases was 18.5 months and 27.1 months,respectively (P<0.05). Five variables related to lymph node metastasis were screened out by backward stepwise regression analysis,which were combined calculi,neutrophil/lymphocyte ratio,albumin,liver capsule invasion and systemic immune inflammation index,according to which a nomogram was constructed with concordance index(C-index) of 0.737 (95%CI: 0.667 to 0.806). The C-index of external verification was 0.674 (95%CI:0.569 to 0.779). The calibration prediction curve was in good agreement with the reference curve. The results of the clinical decision curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.32,the maximum net benefit could be obtained by 0.11,and the cost/benefit ratio was 1∶2. The results of clinical influence curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.6,the probability of correctly predicting lymph node metastasis could reach more than 90%. There was no significant difference in overall survival time between patients with high/low risk of lymph node metastasis assessed by the nomogram and those with pathologically confirmed lymph node metastasis or without lymph node metastasis (Log-rank test:P=0.082 and 0.510,respectively). Conclusion: The prediction accuracy of preoperative nomogram for ICC lymph node metastasis based on inflammation-related markers is satisfactory,which can be used as a supplementary method for preoperative diagnosis of lymph node metastasis and is helpful for clinicians to make personalized decision of lymph node dissection for patients with ICC.