3篇
您的检索式：作者名="Yanting Han"
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| 1 | PINK1 kinase dysfunction triggers neurodegeneration in the primate brain without impacting mitochondrial homeostasis显示文摘In vitro studies have established the prevalent theory that the mitochondrial kinase PINK1 protects neurodegeneration by removing damaged mitochondria in Parkinson's disease(PD).However,difficulty in detecting endogenous PINK1 protein in rodent brains and cell lines has prevented the rigorous investigation of the in vivo role of PINK1.Here we report that PINK1 kinase form is selectively expressed in the human and monkey brains.CRISPR/Cas9-mediated deficiency of PINK1 causes similar neurodegeneration in the brains of fetal and adult monkeys as well as cultured monkey neurons without affecting mitochondrial protein expression and morphology.Importantly,PINK1 mutations in the primate brain and human cells reduce protein phosphorylation that is important for neuronal function and survival.Our findings suggest that PINK1 kinase activity rather than its mitochondrial function is essential for the neuronal survival in the primate brains and that its kinase dysfunction could be involved in the pathogenesis of PD. | Weili Yang Xiangyu Guo Zhuchi Tu Xiusheng Chen Rui Han Yanting Liu Sen Yan Qi Wang Zhifu Wang Xianxian Zhao Yunpeng Zhang Xin Xiong Huiming Yang Peng Yin Huida Wan Xingxing Chen Jifeng Guo Xiao-Xin Yan Lujian Liao Shihua Li Xiao-Jiang Li | 2022 | Protein & Cell2022，13，1： | 3 |
| 2 | Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer显示文摘Background:Distinguishing anorectal malignant melanoma from low rectal cancer remains challenging because of the overlap of clinical symptoms and imaging findings.We aim to investigate whether combining quantitative and qualitative magnetic resonance imaging(MRI)features could differentiate anorectal malignant melanoma from low rectal cancer.Methods:Thirty-seven anorectal malignant melanoma and 98 low rectal cancer patients who underwent preoperative rectal MRI from three hospitals were retrospectively enrolled.All patients were divided into the primary cohort(N=84)and validation cohort(N=51).Quantitative image analysiswas performed on T1-weighted(T1WI),T2-weighted(T2WI),and contrast-enhanced T1-weighted imaging(CE-T1WI).The subjective qualitative MRI findings were evaluated by two radiologists in consensus.Multivariable analysis was performed using stepwise logistic regression.The discrimination performance was assessed by the area under the receiver operating characteristic curve(AUC)with a 95%confidence interval(CI).Results:The skewness derived from T2WI(T2WI-skewness)showed the best discrimination performance among the entire quantitative image features for differentiating anorectal malignant melanoma from low rectal cancer(primary cohort:AUC=0.852,95%CI 0.788–0.916;validation cohort:0.730,0.645–0.815).Multivariable analysis indicated that T2WI-skewness and the signal intensity of T1WI were independent factors,and incorporating both factors achieved good discrimination performance in two cohorts(primary cohort:AUC=0.913,95%CI 0.868–0.958;validation cohort:0.902,0.844–0.960).Conclusions:Incorporating T2WI-skewness and the signal intensity of T1WI achieved good performance for differentiating anorectal malignant melanoma from low rectal cancer.The quantitative image analysis helps improve diagnostic accuracy. | Zeyan Xu Ke Zhao Lujun Han Pinxiong Li Zhenwei Shi Xiaomei Huang Chu Han Huihui Wang Minglei Chen Chen Liu Yanting Liang Suyun Li Yanqi Huang Xin Chen Changhong Liang Wuteng Cao Zaiyi Liu | 2021 | Precision Clinical Medicine2021，4，2： | 0 |
| 3 | Recent advances in skin collagen:functionality and non-medical applications显示文摘During nature evolution process,living organisms have gradually adapted to the environment and been adept in synthesizing high performance structural materials at mild conditions by using fairly simple building elements.The skin,as the largest organ of animals,is such a representative example.Conferred by its intricate organization where collagen fibers are arranged in a randomly interwoven network,skin collagen(SC),defined as a biomass derived from skin by removing non-collagen components displays remarkable performance with combinations of mechanical properties,chemical-reactivity and biocompatibility,which far surpasses those of synthetic materials.At present,the application of SC in medical field has been largely studied,and there have been many reviews summarizing these efforts.However,the generalized view on the aspects of SC as smart materials in non-medical fields is still lacking,although SC has shown great potential in terms of its intrinsic properties and functionality.Hence,this review will provide a comprehensive summary that integrated the recent advances in SC,including its preparation method,structure,reactivity,and functionality,as well as applications,particularly in the promising area of smart materials. | Yanting Han Jinlian Hu Gang Sun | 2021 | Journal of Leather Science and Engineering2021，3，1： | 0 |
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