10-MDP-钙盐形成对牙本质粘接成绩影响的评价

目的　分析10-MDP-钙盐形成对牙本质粘接成绩的影响。方法　采用酸蚀冲洗粘接模式，根据牙本质表面的处理方式和选择粘接剂的不同将牙齿随机分为以下4组（n=5）进行处理，制作牙本质/树脂粘接试件：①对照组，直接使用全酸蚀粘接剂Single bond 2(SB2)处理后粘接；②10-MDP组，使用SB2处理进行粘接前，牙本质表面以含有磷酸酯单体10-MDP的自配底涂剂预处理；③CHX组，使用SB2处理进行粘接前，先以氯己定（CHX）预处理牙本质表面;④SBU组，使用包含10-MDP的通用型粘接剂Single bond universal(SBU)处理后进行粘接。通过微拉伸测试（μTBS）测试粘接强度，以X射线衍射(XRD)、原位酶谱测试表征自配10-MDP底涂剂和两种牙本质粘接剂处理的牙本质表面，分析10-MDP-钙盐形成对牙本质粘接成绩的影响。结果　微拉伸结果显示，不同处理方式的粘接试件在24 h水储后没有表现出明显的统计学差异(P>0.1)；经过6个月的水储后，与10-MDP组和SBU组相比，对照组的微拉伸强度显著降低(P<0.05)，而CHX组的微拉伸强度没有明显变化(P>0.05)。XRD结果显示,在10-MDP组和SBU组均检测到10-MDP-钙盐形成的特征性峰，表明有10-MDP-钙盐的形成。原位酶谱结果显示，10-MDP组与SBU组之间混合层荧光强度没有明显区别，但均明显高于对照组，CHX组荧光强度低于10-MDP组与SBU组。结论　10-MDP-钙盐的形成能够保护暴露的胶原纤维不接触到MMPs而免于水解，从而增强牙本质/树脂的粘接成绩。     

Phase I Dose-Escalation Study of SCB01A,a Microtubule Inhibitor with Vascular Disrupting Activity,in Patients with Advanced Solid Tumors

Lessons Learned

• SCB01A is a novel microtubule inhibitor with vascular disrupting activity.
• This first‐in‐human study demonstrated SCB01A safety, pharmacokinetics, and preliminary antitumor activity.
• SCB01A is safe and well tolerated in patients with advanced solid malignancies with manageable neurotoxicity.

BackgroundSCB01A, a novel microtubule inhibitor, has vascular disrupting activity.MethodsIn this phase I dose‐escalation and extension study, patients with advanced solid tumors were administered intravenous SCB01A infusions for 3 hours once every 21 days. Rapid titration and a 3 + 3 design escalated the dose from 2 mg/m² to the maximum tolerated dose (MTD) based on dose‐limiting toxicity (DLT). SCB01A‐induced cellular neurotoxicity was evaluated in dorsal root ganglion cells. The primary endpoint was MTD. Safety, pharmacokinetics (PK), and tumor response were secondary endpoints.ResultsTreatment‐related adverse events included anemia, nausea, vomiting, fatigue, fever, and peripheral sensorimotor neuropathy. DLTs included grade 4 elevated creatine phosphokinase (CPK) in the 4 mg/m² cohort; grade 3 gastric hemorrhage in the 6.5 mg/m² cohort; grade 2 thromboembolic event in the 24 mg/m² cohort; and grade 3 peripheral sensorimotor neuropathy, grade 3 elevated aspartate aminotransferase, and grade 3 hypertension in the 32 mg/m² cohort. The MTD was 24 mg/m², and average half‐life was ~2.5 hours. The area under the curve‐dose response relationship was linear. Nineteen subjects were stable after two cycles. The longest treatment lasted 24 cycles. SCB01A‐induced neurotoxicity was reversible in vitro.ConclusionThe MTD of SCB01A was 24 mg/m² every 21 days; it is safe and tolerable in patients with solid tumors.     

基于网络药理学探讨搜风愈喘方拆方“祛宿痰方”调控儿童哮喘的作用机制＊

目的 基于“伏风暗瘀宿痰”小儿哮喘病机新说，采用网络药理学及实验验证的方法，探索搜风愈喘方拆方“祛宿痰方”治疗儿童哮喘的作用机制，验证中医“宿痰”病机与西医细胞外基质改变病理之间的交通性。方法 通过TCMSP数据库建立“祛宿痰方”的有效成分和靶点数据集，利用OMIM、GeneCards、DrugBank、TTD疾病数据库建立哮喘疾病靶点数据集，利用Cytoscape软件取交集并构建“祛宿痰方”与哮喘的蛋白质互作网络，筛选关键靶点蛋白。利用Metascape数据库进行基因本体（Gene ontology，GO）分析以及京都基因和基因组百科全书（Kyoto encyclopedia of genes and genomes，KEGG）富集分析。复制卵蛋白（OVA）诱导的哮喘大鼠模型，对核心通路及关键靶点进行实验验证。结果 共得到“祛宿痰方”治疗哮喘的靶点98个，包括IL-13、TP53、TGF-β1、VEGF-A、MMP9等，KEGG得到与哮喘相关的通路287条（P＜0.05），包括NF-κB信号通路、PI3K-AKT信号通路、IL-17信号通路等。GO结果显示与哮喘相关生物进程包括炎症反应、细胞外基质调控、氧化应激、血管生成等。动物实验证实“祛宿痰方”可下调大鼠肺组织中p-NF-κB-P65磷酸化水平，抑制NF-κB信号通路的激活，降低IL-13、TGF-β1 mRNA表达量（P<0.05），减少哮喘大鼠肺组织中炎症细胞浸润、黏液产生，从而延缓哮喘的进程。结论 “祛宿痰方”可抑制NF-κB信号通路的激活，降低肺组织中IL-13、TGF-β1 mRNA表达量，可能通过抑制炎症反应、调控细胞外基质等途径作用于哮喘，中医“宿痰”病机与西医细胞外基质改变病理之间存在一定的的交通性。     

PARP7 negatively regulates the type I interferon response in cancer cells and its inhibition triggers antitumor immunity

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Fluoxetine-induced hepatic lipid accumulation is mediated by prostaglandin endoperoxide synthase 1 and is linked to elevated 15-deoxy-Δ12,14PGJ2

Major depressive disorder and other neuropsychiatric disorders are often managed with long-term use of antidepressant medication. Fluoxetine, an SSRI antidepressant, is widely used as a first-line treatment for neuropsychiatric disorders. However, fluoxetine has also been shown to increase the risk of metabolic diseases such as non-alcoholic fatty liver disease. Fluoxetine has been shown to increase hepatic lipid accumulation in vivo and in vitro. In addition, fluoxetine has been shown to alter the production of prostaglandins which have also been implicated in the development of non-alcoholic fatty liver disease. The goal of this study was to assess the effect of fluoxetine exposure on the prostaglandin biosynthetic pathway and lipid accumulation in a hepatic cell line (H4-II-E-C3 cells). Fluoxetine treatment increased mRNA expression of prostaglandin biosynthetic enzymes (Ptgs1, Ptgs2, and Ptgds), PPAR gamma (Pparg), and PPAR gamma downstream targets involved in fatty acid uptake (Cd36, Fatp2, and Fatp5) as well as production of 15-deoxy-Δ^12,14PGJ₂ a PPAR gamma ligand. The effects of fluoxetine to induce lipid accumulation were attenuated with a PTGS1 specific inhibitor (SC-560), whereas inhibition of PTGS2 had no effect. Moreover, SC-560 attenuated 15-deoxy-Δ^12,14PGJ₂ production and expression of PPAR gamma downstream target genes. Taken together these results suggest that fluoxetine-induced lipid abnormalities appear to be mediated via PTGS1 and its downstream product 15d-PGJ₂ and suggest a novel therapeutic target to prevent some of the adverse effects of fluoxetine treatment.     

Confounded association between proton pump inhibitor use and risk of biliary tract cancer: Result from three cohorts

Recent epidemiological studies suggested that proton pump inhibitor (PPI) use was associated with an increased risk of biliary tract cancer (BTC), however, confounders were not adequately controlled. Our study aimed to evaluate PPI use and subsequent risk of BTC and its subtypes in three well-established cohorts. We conducted a pooled analysis of the subjects free of cancers in UK Biobank (n = 463 643), Nurses' Health Study (NHS, n = 80 235) and NHS II (n = 95 869). Propensity score weighted Cox models were used to estimate marginal HRs of PPIs use on BTC risk, accounting for potential confounders. We documented 284 BTC cases in UK Biobank (median follow-up: 7.6 years), and 91 cases in NHS and NHS II cohorts (median follow-up: 15.8 years). In UK biobank, PPI users had a 96% higher risk of BTC compared to nonusers in crude model (HR 1.96, 95% CI 1.44-2.66), but the effect was attenuated to null after adjusting for potential confounders (HR 0.95, 95% CI 0.60-1.49). PPI use was not associated with risk of BTC in the pooled analysis of three cohorts (HR 0.93, 95% CI 0.60-1.43). We also observed no associations between PPI use with risk of intrahepatic (HR 1.00, 95% CI 0.49-2.04), extrahepatic bile duct (HR 1.09, 95% CI 0.52-2.27) and gallbladder cancers (HR 0.66, 95% CI 0.26-1.66) in UK Biobank. In summary, regular use of PPIs was not associated with the risk of BTC and its subtypes.