Background: The fatality of adverse drug reactions (ADR) has become one of the major causes of the non-natural disease deaths globally, with the issue of drug safety emerging as a common topic of concern. Objective: T...Background: The fatality of adverse drug reactions (ADR) has become one of the major causes of the non-natural disease deaths globally, with the issue of drug safety emerging as a common topic of concern. Objective: The personalized ADR early warning method, based on contextual ontology and rule learning, proposed in this study aims to provide a reference method for personalized health and medical information services. Methods: First, the patient data is formalized, and the user contextual ontology is constructed, reflecting the characteristics of the patient population. The concept of ontology rule learning is then proposed, which is to mine the rules contained in the data set through machine learning to improve the efficiency and scientificity of ontology rule generation. Based on the contextual ontology of ADR, the high-level context information is identified and predicted by means of reasoning, so the occurrence of the specific adverse reaction in patients from different populations is extracted. Results: Finally, using diabetes drugs as an example, contextual information is identified and predicted through reasoning, to mine the occurrence of specific adverse reactions in different patient populations, and realize personalized medication decision-making and early warning of ADR.展开更多
Background and objective Invasion and metastasis is not only the malignant phenotypes of lung cancer but also the main cause of death. Elucidating the molecular mechanism of
Dear Editor,Chikungunya virus(CHIKV)is a mosquito-borne virus belonging to the family Togaviridae,genus Alphavirus,and was first isolated in Tanzania in the 1950s(Silva and Dermody 2017;Weaver and Lecuit 2015).Human i...Dear Editor,Chikungunya virus(CHIKV)is a mosquito-borne virus belonging to the family Togaviridae,genus Alphavirus,and was first isolated in Tanzania in the 1950s(Silva and Dermody 2017;Weaver and Lecuit 2015).Human infections with CHIKV typically result in a rapid-onset febrile disease,with symptoms that include fever,headache,rash,severe joint and muscle pain,as well as prolonged periods of disability in some patients(Weaver and Lecuit 2015;Silva and Dermody 2017).展开更多
The Zika virus(ZIKV) is an arbovirus that has spread rapidly worldwide within recent times. There is accumulating evidence that associates ZIKV infections with Guillain-Barré Syndrome(GBS) and microcephaly in hum...The Zika virus(ZIKV) is an arbovirus that has spread rapidly worldwide within recent times. There is accumulating evidence that associates ZIKV infections with Guillain-Barré Syndrome(GBS) and microcephaly in humans. The ZIKV is genetically diverse and can be separated into Asian and African lineages. A rapid, sensitive, and specific assay is needed for the detection of ZIKV across various pandemic regions. So far, the available primers and probes do not cover the genetic diversity and geographic distribution of all ZIKV strains. To this end, we have developed a one-step quantitative reverse transcription polymerase chain reaction(qRT-PCR) assay based on conserved sequences in the ZIKV envelope(E) gene. The detection limit of the assay was determined to be five RNA transcript copies and 2.94 × 10^(–3) 50% tissue culture infectious doses(TCID50) of live ZIKV per reaction. The assay was highly specific and able to detect five different ZIKV strains covering the Asian and African lineages without nonspecific amplification, when tested against other flaviviruses. The assay was also successful in testing for ZIKV in clinical samples. Our assay represents an improvement over the current methods available for the detection ZIKV and would be valuable as a diagnostic tool in various pandemic regions.展开更多
The worldwide epidemic of coronavirus disease 2019(COVID-19)is ongoing.Rapid and accurate detection of the causative virus SARSCoV-2 is vital for the treatment and control of COVID-19.In this study,the comparative sen...The worldwide epidemic of coronavirus disease 2019(COVID-19)is ongoing.Rapid and accurate detection of the causative virus SARSCoV-2 is vital for the treatment and control of COVID-19.In this study,the comparative sensitivity of different respiratory specimen types were retrospectively analyzed using 3,552 clinical samples from 410 COVID-19 patients confirmed by Guangdong CDC(Center for Disease Control and Prevention).Except for bronchoalveolar lavage fluid(BALF),the sputum possessed the highest positive rate(73.4%–87.5%),followed by nasal swabs(53.1%–85.3%)for both severe and mild cases during the first 14 days after illness onset(d.a.o.).Viral RNA could be detected in all BALF samples collected from the severe group within 14 d.a.o.and lasted up to 46 d.a.o.Moreover,although viral RNA was negative in the upper respiratory samples,it was also positive in BALF samples in most cases from the severe group during treatment.Notably,no viral RNA was detected in BALF samples from the mild group.Despite typical ground-glass opacity observed via computed tomographic scans,no viral RNA was detected in the first three or all upper respiratory tract specimens from some COVID-19 patients.In conclusion,sputum is most sensitive for routine laboratory diagnosis of COVID-19,followed by nasal swabs.Detection of viral RNA in BALF improves diagnostic accuracy in severe COVID-19 patients.展开更多
文摘Background: The fatality of adverse drug reactions (ADR) has become one of the major causes of the non-natural disease deaths globally, with the issue of drug safety emerging as a common topic of concern. Objective: The personalized ADR early warning method, based on contextual ontology and rule learning, proposed in this study aims to provide a reference method for personalized health and medical information services. Methods: First, the patient data is formalized, and the user contextual ontology is constructed, reflecting the characteristics of the patient population. The concept of ontology rule learning is then proposed, which is to mine the rules contained in the data set through machine learning to improve the efficiency and scientificity of ontology rule generation. Based on the contextual ontology of ADR, the high-level context information is identified and predicted by means of reasoning, so the occurrence of the specific adverse reaction in patients from different populations is extracted. Results: Finally, using diabetes drugs as an example, contextual information is identified and predicted through reasoning, to mine the occurrence of specific adverse reactions in different patient populations, and realize personalized medication decision-making and early warning of ADR.
基金supported by grants from the Key Project of National Natural Science Foundation of China (to Qinghua ZHOU) (No.30430300)National Natural Science Foundation of China (to Qinghua ZHOU) (No.30070333)
文摘Background and objective Invasion and metastasis is not only the malignant phenotypes of lung cancer but also the main cause of death. Elucidating the molecular mechanism of
基金the grants from the National Natural Science Foundation(NSFC)of China(81802004)the Shenzhen Science and Technology Research and Development Project(JCYJ20160427153238750)+2 种基金the National Science and Technology Major Project(2018ZX10711001,2017ZX10103011)Strategic Priority Research Program of the Chinese Academy of Sciences(CAS)(XDB29010102)the Sanming Project of Medicine in Shenzhen(SZSM201412003).Y.B.is supported by the NSFC Outstanding Young Scholars(31822055).
文摘Dear Editor,Chikungunya virus(CHIKV)is a mosquito-borne virus belonging to the family Togaviridae,genus Alphavirus,and was first isolated in Tanzania in the 1950s(Silva and Dermody 2017;Weaver and Lecuit 2015).Human infections with CHIKV typically result in a rapid-onset febrile disease,with symptoms that include fever,headache,rash,severe joint and muscle pain,as well as prolonged periods of disability in some patients(Weaver and Lecuit 2015;Silva and Dermody 2017).
基金supported by the National Science and Technology Major Project(2016ZX10004222)the Sanming Project of Medicine in Shenzhen(ZDSYS201504301534057)+6 种基金the Key specialized fund for infectious diseases in Shenzhen City(No.201161)the intramural special grant for influenza virus research from the Chinese Academy of Sciences(KJZD-EW-L09 and KJZD-EWL15)the Shenzhen Science and Technology Research and Development Project(JCYJ20160427151920801 and JCYJ20160427153238750)G.F.G.is a leading principal investigator of the National Natural Science Foundation of China(NSFC)Innovative Research Group(81621091)supported by the Youth Innovation Promotion Association of Chinese Academy of Sciences(CAS)(2017122)G.W.is the recipient of a Banting Postdoctoral Fellowship from the Canadian Institutes of Health Research(CIHR)the President’s International Fellowship Initiative from the CAS
文摘The Zika virus(ZIKV) is an arbovirus that has spread rapidly worldwide within recent times. There is accumulating evidence that associates ZIKV infections with Guillain-Barré Syndrome(GBS) and microcephaly in humans. The ZIKV is genetically diverse and can be separated into Asian and African lineages. A rapid, sensitive, and specific assay is needed for the detection of ZIKV across various pandemic regions. So far, the available primers and probes do not cover the genetic diversity and geographic distribution of all ZIKV strains. To this end, we have developed a one-step quantitative reverse transcription polymerase chain reaction(qRT-PCR) assay based on conserved sequences in the ZIKV envelope(E) gene. The detection limit of the assay was determined to be five RNA transcript copies and 2.94 × 10^(–3) 50% tissue culture infectious doses(TCID50) of live ZIKV per reaction. The assay was highly specific and able to detect five different ZIKV strains covering the Asian and African lineages without nonspecific amplification, when tested against other flaviviruses. The assay was also successful in testing for ZIKV in clinical samples. Our assay represents an improvement over the current methods available for the detection ZIKV and would be valuable as a diagnostic tool in various pandemic regions.
基金supported by the Ministry of Science and Technology(2020YFC0846300)National Science and Technology Major Project(2017ZX10103011,2018ZX10711001)+1 种基金Shenzhen Science and Technology Research and Development Project(202002073000001)China Postdoctoral Science Foundation(2019T120147,2019M660836)。
文摘The worldwide epidemic of coronavirus disease 2019(COVID-19)is ongoing.Rapid and accurate detection of the causative virus SARSCoV-2 is vital for the treatment and control of COVID-19.In this study,the comparative sensitivity of different respiratory specimen types were retrospectively analyzed using 3,552 clinical samples from 410 COVID-19 patients confirmed by Guangdong CDC(Center for Disease Control and Prevention).Except for bronchoalveolar lavage fluid(BALF),the sputum possessed the highest positive rate(73.4%–87.5%),followed by nasal swabs(53.1%–85.3%)for both severe and mild cases during the first 14 days after illness onset(d.a.o.).Viral RNA could be detected in all BALF samples collected from the severe group within 14 d.a.o.and lasted up to 46 d.a.o.Moreover,although viral RNA was negative in the upper respiratory samples,it was also positive in BALF samples in most cases from the severe group during treatment.Notably,no viral RNA was detected in BALF samples from the mild group.Despite typical ground-glass opacity observed via computed tomographic scans,no viral RNA was detected in the first three or all upper respiratory tract specimens from some COVID-19 patients.In conclusion,sputum is most sensitive for routine laboratory diagnosis of COVID-19,followed by nasal swabs.Detection of viral RNA in BALF improves diagnostic accuracy in severe COVID-19 patients.
