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| 1 | Characteristics of distribution of Mycobacterium tuberculosis lineages in China显示文摘The genotyping methods of Mycobacterium tuberculosis would dramatically improve our understanding of the molecular epidemiology of tuberculosis. 3,929 isolates, from a National Survey of Drug-Resistant Tuberculosis in 2007 in China, were successfully genotyped by large sequence polymorphisms and 15 loci variable number tandem repeats. We found that 2,905(2,905/3,929, 73.9%) cases belonged to Lineage 2, dominated in the east and central regions, 975 cases(975/3,929, 24.8%) were Lineage 4, highly prevailed in the west regions, and 36 and 13 cases were Lineage 3 and Lineage 1, respectively. We also explored the associations between lineages(Lineage 2 vs. Lineage 4) and clinical characteristics by logistic regression. For Lineage 2, the risk factors were Han-ethnicity population and fever. However, for Lineage 4, they were occupation(farmer), and degree of education(non-literate). Fully understanding of the distribution of Mycobacterium tuberculosis lineage and its risk factors would play a critical role in tuberculosis prevention, control, and treatment. | Haixia Chen Li He Chao Cai Jingyi Liu Junnan Jia Liang Ma Hairong Huang Lixia Wang Xumin Ni Jimin Gao Weimin Li | 2018 | Science China(Life Sciences)2018，61，6： | 7 |
| 2 | Clinical characteristics and risk factors for mortality in cancer patients with COVID-19显示文摘Patients with cancer are at increased risk of severe infections.From a cohort including 3060 patients with confirmed COVID-19,109(3.4%)cancer patients were included in this study.Among them,23(21.1%)patients died in the hospital.Cancer patients,especially those with hematological malignancies(41.6%),urinary carcinoma(35.7%),malignancies of the digestive system(33.3%),gynecological malignancies(20%),and lung cancer(14.3%),had a much higher mortality than patients without cancer.A total of 19(17.4%)cancer patients were infected in the hospital.The clinical characteristics of deceased cancer patients were compared with those of recovered cancer patients.Multivariate Cox regression analysis indicated that a Nutritional Risk Screening(NRS2002)score≥3(adjusted hazard ratio(HR)11.00;95%confidence interval(CI)4.60–26.32;P<0.001),high-risk type(adjusted HR 18.81;95%CI 4.21–83.93;P<0.001),tumor stage IV(adjusted HR 4.26;95%CI 2.34–7.75;P<0.001),and recent adjuvant therapy(<1 month)(adjusted HR 3.16;95%CI 1.75–5.70;P<0.01)were independent risk factors for in-hospital death after adjusting for age,comorbidities,D-dimer,and lymphocyte count.In conclusion,cancer patients showed a higher risk of COVID-19 infection with a poorer prognosis than patients without cancer.Cancer patients with high-risk tumor,NRS2002 score≥3,advanced tumor stage,and recent adjuvant therapy(<1 month)may have high risk of mortality. | Junnan Liang Guannan Jin Tongtong Liu Jingyuan Wen Ganxun Li Lin Chen Wei Wang Yuwei Wang Wei Liao Jia Song Zeyang Ding Xiao-ping Chen Bixiang Zhang | 2021 | Frontiers of Medicine2021，15，2： | 2 |
| 3 | Aiphanol, a native compound, suppresses angiogenesis via dual-targeting VEGFR2 and C0X2显示文摘Dear Editor,Pathological neo-vascularization is a hallmark of cancer and several diseases.Accumulating evidence supports the notion that antiangiogenic treatment can abolish tumor angiogenesis to achieve Ion ger disease-free survival.Although growth factors and their receptors function as the main drivers in angiogenesis,the involvement of other regulators,e.g.,Cyclooxygenase-2(COX2),^(1) should also be con sidered,especially for managi ng the resista nee to therapies against receptor tyrosine kinases(RTKs). | Shanmei Chen Junnan Feng Chuanke Zhao Lixin Wang Lin Meng Caiyun Liu Shaoqing Cai Yanxing Jia Like Qu Chengchao Shou | 2022 | Signal Transduction and Targeted Therapy2022，7，1： | 0 |
| 4 | A lightweight DDoS detection scheme under SDN context显示文摘Software-defined networking(SDN),a novel network paradigm,separates the control plane and data plane into dif-ferent network equipment to realize the flexible control of network traffic.Its excellent programmability and global view present many new opportunities.DDoS detection under the SDN context is an important and challenging research field.Some previous works attempted to collect and analyze statistics related to flows,usually recorded in switches,to address DDoS threats.In contrast,other works applied machine learning-based solutions to identify DDos and achieved promising results.Generally,most previous works need to periodically request flow rules or packets to obtain flow statistics or features to detect stealthy exceptions.Nevertheless,the request for flow rules is very time-consuming and CPU-consuming;moreover may congest the communication channel between the controller and the switches.Therefore,we present FORT,a lightweight DDoS detection scheme,which spreads the rule-based detection algorithm at edge switches and determines whether to start it by periodically retrieving the ports state.A time-series algorithm,ARIMA,is utilized to determine the port statistics adaptively,and an SVM algorithm is applied to detect whether a DDoS attack does occur.Representative experiments demonstrate that FORT can significantly reduce the controller load and provide a reliable detection accuracy.Referring to the false alarm rate of 1.24%in the comparison scheme,the false alarm rate of this scheme is only 0.039%,which significantly reduces the probability of false alarm.Besides,by introducing the alarm mechanism,this scheme can reduce the load of the southbound chan-nel by more than 60%in the normal state. | Kun Jia Chaoge Liu Qixu Liu Junnan Wang Jiazhi Liu Feng Liu | 2023 | Cybersecurity2023，6，1： | 0 |
| 5 | Correction: Aiphanol, a native compound, suppresses angiogenesis via dual-targeting VEGFR2 and COX2显示文摘Correction to:Signal Transduction and Targeted Therapy http://gffzzd3cc09b8251d45dfsknkfo66b5q5b6qkn.ffgz.tsg.suse.edu.cn/10.1038/s41392-021-00739-5,published online 03 December 2021 After online publication of the letter1,the author found two images in the supplement materials were used incorrectly,Additionally,there is an error in the chemical structure of Aiphanol in Figs.1a and 1s that needs to be corrected.The correct data are provided as follows.The key findings of the article are not affected by these corrections.The original article has been corrected. | Shanmei Chen Junnan Feng Chuanke Zhao Lixin Wang Lin Meng Caiyun Liu Shaoqing Cai Yanxing Jia Like Qu Chengchao Shou | 2022 | Signal Transduction and Targeted Therapy2022，7，5： | 0 |
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