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| 1 | Alzheimer's disease treated with combined therapy based on nourishing marrow and reinforcing Qi显示文摘OBJECTIVE:To study the efficacy and safety of combined Traditional Chinese Medicine(TCM) therapy based on nourishing marrow to improve intellect and reinforcing Qi to activate bloodon mild to moderate Alzheimer's disease(AD).METHODS:Sixty-six patients with AD,whoseMini-Mental State Examination(MMSE) score were from 10-24,were randomized equally into an intervention group and a control group.The control group was given Aricept(5 mg,once daily).The intervention group was further divided into Yang-Qi deficiency(n = 18) and of Yin-Qi deficiency(n = 15)subgroups.Patients in the Yang-Qi deficiency group were intravenously administered Shenfu injection,60 mL,and deproteinized calf blood injection(DCBl),1.2 g,once daily.The Yin-Qi deficiency group was given Shenmai injection,60 mL,and DCBl,1.2 g,once daily.Each course lasted 21 days.RESULTS:Compared with the control group and with pre-treatment in the same group,MMSE,clinical dementia rating,and activities of daily living scale scores in the intervention group were significantly improved(all P<0.05).These metrics mildly improved in the control group compared with before treatment(P>0.05).No adverse effects were observed in any group during treatment.CONCLUSION:We found that combined TCM therapy is effective and safe for managing mild to moderate AD. | Chen Songlin Yao Xiaoli Liang Yinying Mei Weiyi Liu Xiaoyun Zhang Changran | 2015 | Journal of Traditional Chinese Medicine2015，35，3： | 4 |
| 2 | Loss of chromosome 9p21 is associated with a poor prognosis in adenosquamous carcinoma of the pancreas显示文摘Adenosquamous carcinoma of the pancreas(ASCP)is a rare histological subtype of pancreatic cancer with a poor prognosis and a high metastasis rate.However,little is known about its genomic landscape and prognostic biomarkers.A total of 48 ASCP specimens and 98 pancreatic ductal adenocarcinoma(PDAC)tumour specimens were sequenced to explore the genomic landscape and prognostic biomarkers.The homozygous deletion of the 9p21.3 region(including CDKN2A,CDKN2B,and MTAP)(9p21 loss)occurred in both ASCP and PDAC,and a higher frequency of 9p21 loss was observed in ASCP(12.5%vs 2.0%,P=0.022).Notably,9p21 loss was significantly associated with poor disease-free survival(DFS)in ASCP patients(mDFS(Median DFS)=4.17 vs 7.33 months,HR(Hazard Ratio)=3.70,P=0.009).The most common gene alterations in patients with ASCP were KRAS(96%),TP53(81%),CDKN2A(42%),SMAD4(21%),CDKN2B(13%),and FAT3(13%).The mutation rates of ACVR2A(6.25%vs 0%),FANCA(6.25%vs 0%),RBM10(6.25%vs 0%),and SPTA1(8.33%vs 1.02%)were significantly higher in ASCP than in PDAC.In conclusion,we have comprehensively described the genomic landscape of the largest cohort of ASCP patients to date and highlight that 9p21 loss may be a promising prognostic biomarker for ASCP,which provides a molecular basis for prognosis prediction and new therapeutic strategies for ASCP. | Yina Jiang Yinying Wu Liwen Zhang Yan Wang Guiping Xu Yuan Deng Liang Han Enxiao Li Qingyong Ma Mian Xu Zheng Wu Zheng Wang | 2023 | Precision Clinical Medicine2023，6，4： | 0 |
| 3 | Lung Nodule Detection Based on YOLOv3 Deep Learning with Limited Datasets显示文摘The early symptom of lung tumor is always appeared as nodule on CT scans,among which 30%to 40%are malignant according to statistics studies.Therefore,early detection and classification of lung nodules are crucial to the treatment of lung cancer.With the increasing prevalence of lung cancer,large amount of CT images waiting for diagnosis are huge burdens to doctors who may missed or false detect abnormalities due to fatigue.Methods:In this study,we propose a novel lung nodule detection method based on YOLOv3 deep learning algorithm with only one preprocessing step is needed.In order to overcome the problem of less training data when starting a new study of Computer Aided Diagnosis(CAD),we firstly pick up a small number of diseased regions to simulate a limited datasets training procedure:5 nodule patterns are selected and deformed into 110 nodules by random geometric transformation before fusing into 10 normal lung CT images using Poisson image editing.According to the experimental results,the Poisson fusion method achieves a detection rate of about 65.24%for testing 100 new images.Secondly,419 slices from common database RIDER are used to train and test our YOLOv3 network.The time of lung nodule detection by YOLOv3 is shortened by 2–3 times compared with the mainstream algorithm,with the detection accuracy rate of 95.17%.Finally,the configuration of YOLOv3 is optimized by the learning data sets.The results show that YOLOv3 has the advantages of high speed and high accuracy in lung nodule detection,and it can access a large amount of CT image data within a short time to meet the huge demand of clinical practice.In addition,the use of Poisson image editing algorithms to generate data sets can reduce the need for raw training data and improve the training efficiency. | Zhaohui Bu Xuejun Zhang Jianxiang Lu Huan Lao Chan Liang Xianfu Xu Yini Wei Hongjie Zeng | 2022 | Molecular & Cellular Biomechanics2022，19，1： | 0 |
| 4 | Molecular deconvolution of the neutralizing antibodies in duced by an in activated SARS-CoV-2 virus vaccine显示文摘Dear Editor,The rapid emerge nee and persistence of the pan demic caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)has had enormous impacts on global health and the economy.Effective vaccines against SARS-CoV-2 are urgently needed to control the coronavirus disease 2019(COVID-19)pandemic,and multiple vaccines have been found to be efficacious in preventing symptomatic COVID-19(Polack et al.,2020;Wu et al.,2020;Jones and Roy,2021). | Xingdong Zhou Hui Wang Qun Ji Mingjuan Du Yuexia Liang Huanhuan Li Fan Li Hang Shang Xiujuan Zhu Wei Wang Lichun Jiang Alexey V.Stepanov Tianyu Ma Nanxin Gong Xiaodong Jia Alexander G.Gabibov Zhiyong Lou Yinying Lu Yu Guo Hongkai Zhang Xiaoming Yang | 2021 | Protein & Cell2021，12，10： | 0 |
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