1.Analysis of risk factors for leukoaraiosis in patients with large artery atherosclerosis
Zhenpeng DUAN ; Chengbo DAI ; Yuhu ZHANG ; Xiong ZHANG ; Shuo WANG ; Guixian MA ; Xintong LIU ; Biao HUANG ; Hongmei TANG ; Yumin CAO ; Long LONG ; Lijuan WANG
Chinese Journal of Cerebrovascular Diseases 2014;(9):449-453
Objective Toinvestigatetheriskfactorsforleukoaraiosis(LA)inpatientswithlarge arteryatherosclerosis(LAA).Methods Theclinicaldata(age,sex,hypertension,diabetes,smoking, serum lipid level,hyperhomocysteinemia,and numbers of stenosis or occluded cerebral arteries)of 312 patients with LAA classified by the modified stop stroke study trial of Org 10172 in acute stroke treatment (SSS-TOAST ) were analyzed retrospectively. The age-related white matter changes (age related white matter changes,ARWMC)scale was used to evaluate LA. All the 312 patients were divided into non-LA group(n=72)and LA group(n=240)according the T2 weighted magnetic resonance imaging (MRI) and fluid attenuated inversion recovery(FLAIR)sequence,and 3 groups according to the (age-related white matter changes,ARWMC)scores:mild LA,moderate LA,and severe LA groups. The patients with multiple risk factors were analyzed by the univariate and multivariate Logistic regression analyses. Results (1)Of the 312 patients with LA,227 were males (72. 8%). Their average age was 64 ± 11 years,and 240 of them (76. 9%)had LA. Multivariate Logistic regression analysis showed that age (OR,2. 911,95%CI 1. 647-5.146,P=0. 000),hypertension (OR,2. 583,95%CI 1. 373-4.857,P<0. 01),diabetes (OR,1. 882, 95%CI 1. 058-3. 348,P <0. 05),the numbers of stenosis or occlusion arteries (OR,1. 851,95%CI 1.018-3. 367,P<0. 05),and lacunar infarction (LI)(OR,1.493,95%CI 1. 202-1. 853,P<0. 01)were the risk factors for LA. (2)The comparison of the clinical data in patients with different severity in the LA group found that there were significant differences in age,hypertension,diabetes,the numbers of stenosis or occlusionarteries,andLIamongthe3groups(allP<0.05).Conclusion Age,hypertension,diabetes, the numbers of stenosis or occlusion arteries,and LI are the independent risk factors for patients with LAA,and it is associated with the severity of LA.
2.Anticarin-β shows a promising anti-osteosarcoma effect by specifically inhibiting CCT4 to impair proteostasis.
Gan WANG ; Min ZHANG ; Ping MENG ; Chengbo LONG ; Xiaodong LUO ; Xingwei YANG ; Yunfei WANG ; Zhiye ZHANG ; James MWANGI ; Peter Muiruri KAMAU ; Zhi DAI ; Zunfu KE ; Yi ZHANG ; Wenlin CHEN ; Xudong ZHAO ; Fei GE ; Qiumin LV ; Mingqiang RONG ; Dongsheng LI ; Yang JIN ; Xia SHENG ; Ren LAI
Acta Pharmaceutica Sinica B 2022;12(5):2268-2279
Unlike healthy, non-transformed cells, the proteostasis network of cancer cells is taxed to produce proteins involved in tumor development. Cancer cells have a higher dependency on molecular chaperones to maintain proteostasis. The chaperonin T-complex protein ring complex (TRiC) contains eight paralogous subunits (CCT1-8), and assists the folding of as many as 10% of cytosolic proteome. TRiC is essential for the progression of some cancers, but the roles of TRiC subunits in osteosarcoma remain to be explored. Here, we show that CCT4/TRiC is significantly correlated in human osteosarcoma, and plays a critical role in osteosarcoma cell survival. We identify a compound anticarin-β that can specifically bind to and inhibit CCT4. Anticarin-β shows higher selectivity in cancer cells than in normal cells. Mechanistically, anticarin-β potently impedes CCT4-mediated STAT3 maturation. Anticarin-β displays remarkable antitumor efficacy in orthotopic and patient-derived xenograft models of osteosarcoma. Collectively, our data uncover a key role of CCT4 in osteosarcoma, and propose a promising treatment strategy for osteosarcoma by disrupting CCT4 and proteostasis.