Objective To systematically evaluate the relationship between atherosclerotic renal artery stenosis (ARAS) and cor‐onary artery disease (CAD) and peripheral arterial disease (PAD) .Methods We gathered all case‐control studies about the correla‐tion of ARAS with CAD and PAD in the following databases:Cochrane library ,PubMed ,EMBASE ,Web of science until April , 2014 .Two reviewers extracted all relevant datas from the screened documents independently according to exclusion and inclusion criteria ,RevMan 5 .2 software were used to conduct Meta‐analysis .Results Fourteen trials were included .Meta‐analysis showed that :the OR (95% CI)of CAD with 1 vascular lesions ,2 vascular lesions ,3 vascular lesions and left main stenosis ,PAD and ARAS were 0 .70(0 .59-0 .82) ,1 .28(1 .10 -1 .48) ,2 .09(1 .69 -2 .59) ,1 .82(1 .40 -2 .36) ,3 .68(2 .21 -6 .10) with statistical signifi‐cance (P<0 .05) .Conclusion CAD with 2 vascular lesions ,3 vascular lesions and left main stenosis ,PAD were connected with ARAS ,CAD with 1 vascular lesions has little relationship with ARAS .

Objective:To construct a risk prediction score for the needs of coronary care unit (CCU) care in stable condition acute ST-segment elevation myocardial infarction (STEMI) patients who receive percutaneous coronary intervention (PCI) treatment.Methods:The clinical data of 805 STEMI patients who accepted PCI in the First Hospital of Jilin University from November 2017 to October 2018 were retrospectively analyzed. Among the patients, 654 patients from November 2017 to July 2018 were served as the modeling group, the patients with needs of CCU had 125 cases, and the patients without needs of CCU had 529 cases; 151 patients from August 2018 to October 2018 were served as the validation group, the patients with needs of CCU had 28 cases, and the patients without needs of CCU had 123 cases. Binary Logistic regression analysis was used to establish the risk prediction model and determine the score standards. The critical value was determined according to the best Youden index of receiver operating characteristic (ROC) curve.Results:Among 805 patients with STEMI, 153 cases (19.01%) had the needs of CCU, and the most common reason was pump failure (heart failure and cardiogenic shock, 113 cases). In the modeling group, age (60 to 74 years old, OR = 1.513, 95% CI 0.945 to 2.424, P = 0.085; ≥75 years old, OR = 2.740, 95% CI 1.371 to 5.478, P = 0.004), total ischemic time>4 h ( OR = 1.701, 95% CI 1.022 to 2.831, P = 0.041), admission shock index ≥0.8 ( OR = 1.910, 95% CI 1.178 to 3.099, P = 0.009), multi-vessel disease ( OR = 2.090, 95% CI 1.272 to 3.432, P = 0.004), preoperative diseased vessels thrombolysis in myocardial ischemia (TIMI) blood flow grade 0 ( OR = 2.099, 95% CI 1.313 to 3.353, P = 0.002), acute anterior myocardial infarction ( OR = 3.696, 95% CI 2.347 to 5.819, P<0.001) and previous history of stroke ( OR = 3.927, 95% CI 2.057 to 7.500, P<0.001) were independent risk factors for CCU needs in STEMI patients undergoing PCI. The scoring criteria were as followings: age<60 years old was given 0 score, 60 to 74 years old 1 score, ≥75 years old 2 score; total ischemic time>4 h in 1 score, admission shock index ≥0.8 2 scores, multi-vessel disease 2 scores, preoperative diseased vessels TIMI blood flow grade 0 2 scores, acute anterior myocardial infarction 3 scores, previous history of stroke 3 scores, and the total score was 15 scores. The patients with 0 to 6 scores were low-risk, and the patients with 7 to 15 scores were high-risk. ROC curve analysis result showed that, in modeling group, the area under curve (AUC) of risk prediction score for predicting the needs of CCU in STEMI patients was 0.740 (95% CI 0.692 to 0.788, P = 0.580); in validation group, the AUC of risk prediction score for predicting the needs of CCU in STEMI patients was 0.755 (95% CI 0.658 to 0.853, P = 0.755). Conclusions:A predictive risk score based on seven risk factors such as age, total ischemic time, admission shock index, multi-vessel disease, preoperative diseased vessels TIMI blood flow grade, acute anterior myocardial infarction and previous history of stroke is constructed in order to predict the needs of CCU in STEMI patients with stable condition who receive PCI treatment. It can be used to help doctors to identify high-risk patients before the admission to CCU, thus providing simple and practical clinical tool for rational allocation of limited CCU resources.

Objective:To explore the predictive value of the recurrence risk estimator at 90-days(RRE-90) score combined with lipoprotein-associated phospholipase A2 (Lp-PLA2) and high sensitivity C-reactive protein(hs-CRP) in the recurrence risk of acute atherosclerotic cerebral infarction.Methods:Totally 400 patients with acute atherosclerotic cerebral infarction who were hospitalized for the first time in neurology department were followed up for 90 days.However, 8 cases were lost and 392 cases were included finally.According to recurrence or not, 64 cases were divided into recurrence group and 328 cases into non-recurrence group.The RRE-90 score was applied to all the participants and the levels of Lp-PLA2 was detected by enzyme-linked immunosorbent assay, the levels of hs-CRP was detected by immunoturbidimetry.The ROC curve was used to analyze the predictive value of RRE-90 score combined with Lp-PLA2 and hs-CRP for the recurrence risk of acute cerebral infarction.Results:Compared with the non-recurrence group(RRE-90: (3.07±1.01)score, Lp-PLA2: (103.53±8.11)μg/L, hs-CRP: (4.07±1.48)mg/L), the levels of (RRE-90 score: (4.11±0.78)score, Lp-PLA2: (121.52±13.95)μg/L, hs-CRP: (12.40±2.46) mg/L)in the recurrence group of cerebral infarction were significantly higher ( P<0.05, P<0.01). Compared with RRE-90 score (0.705), Lp-PLA2 (0.697), hs-CRP (0.622), RRE-90 score combined with Lp-PLA2 (0.752), RRE-90 score combined with hs-CRP (0.746), RRE-90 score combined with Lp-PLA2 and hs-CRP (0.782) had the largest area under the curve for predicting recurrence of cerebral infarction within 90 days, with statistical significance( P<0.05), sensitivity was 87.8%, specificity was 89.6%. Conclusion:RRE-90 score combined with Lp-PLA2 and hs-CRP detection can further improve the accuracy of predicting recurrence within 90 days in patients with cerebral atherosclerotic infarction, and the predictive value is high.

Modulating Tankyrases (TNKS), interactions with USP25 to promote TNKS degradation, rather than inhibiting their enzymatic activities, is emerging as an alternative/specific approach to inhibit the Wnt/β-catenin pathway. Here, we identified UAT-B, a novel neoantimycin analog isolated from Streptomyces conglobatus, as a small-molecule inhibitor of TNKS-USP25 protein-protein interaction (PPI) to overcome multi-drug resistance in colorectal cancer (CRC). The disruption of TNKS-USP25 complex formation by UAT-B led to a significant decrease in TNKS levels, triggering cell apoptosis through modulation of the Wnt/β-catenin pathway. Importantly, UAT-B successfully inhibited the CRC cells growth that harbored high TNKS levels, as demonstrated in various in vitro and in vivo studies utilizing cell line-based and patient-derived xenografts, as well as APC^min/+ spontaneous CRC models. Collectively, these findings suggest that targeting the TNKS-USP25 PPI using a small-molecule inhibitor represents a compelling therapeutic strategy for CRC treatment, and UAT-B emerges as a promising candidate for further preclinical and clinical investigations.