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Changes in RPV Resistance-Related Mutations Among Antiretroviral Therapy-Naïve HIV-1-Positive Individuals——China,2004-2023 认领 引用
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作者 Xiang Li Xiu Liu +8 位作者 Peixian Xin Dong Wang Jingjing Hao Chang Song Jing Hu Yi Feng Yuhua Ruan Hui Xing Lingjie Liao 《China CDC weekly》 SCIE CSCD 2026年第29期906-912,I0001,I0002,共7页
Introduction:Rilpivirine(RPV)is currently included in first-line antiretroviral therapy(ART)regimens in China.However,the baseline RPV resistance remains unclear,especially among different HIV-1 subtypes in China.Meth... Introduction:Rilpivirine(RPV)is currently included in first-line antiretroviral therapy(ART)regimens in China.However,the baseline RPV resistance remains unclear,especially among different HIV-1 subtypes in China.Methods:HIV-1 pol sequences were collected from ART-naïve HIV-infected individuals between 2004 and 2023.RPV resistance-associated mutations(RAMs)were identified and interpreted using the Stanford HIVdb algorithm.The prevalence of RPV resistance was evaluated over a 20-year study period across different HIV-1 subtypes.Results:In total,64,429 HIV-1 pol sequences from ART-naïve HIV-infected individuals were included in this analysis.The prevalence of RPV resistance increased significantly from 1.5%(2004-2007)to 3.5%(2020-2023)(P<0.001),which was driven by low-level resistance to RPV.CRF65_cpx(37.7%),CRF55_01B(8.5%),and CRF08_BC(5.0%)showed the highest rates of RPV resistance.In RPV-resistant strains,V179D/E/F/L(43.3%)and E138A/G/K/Q/R(38.0%)were the predominant RAMs.The mutations G190A/C/E/Q/S/T(12.5%)and Y181C/F/I/S/V(11.9%)were also commonly detected.Polymorphic and non-nucleoside reverse transcriptase inhibitor(NNRTI)cross-resistant RAMs were identified in 66.8 and 34.8%of RPV-resistant strains,respectively.The polymorphic mutation V179D/E frequently co-occurred with other RAMs,including E138G(14.4%),K103R(7.8%),and V90I(5.5%),and conferred low-or intermediate-level RPV resistance.Conclusions:Polymorphic RAMs and NNRTI cross-resistance mutations together account for the increased RPV resistance in China.Additional phenotypic data and clinical research are needed to verify the efficacy of RPV-based ART in patients infected with subtypes CRF65_cpx,CRF55_01B,and CRF08_BC. 展开更多
关键词 Clinical Research Antiretroviral Therapy Rilpivirine Resistance Pol Sequences HIV Subtypes Prevalence stanford hivdb algorithmthe China
Research on grid based fire warning algorithm with YOLOv5s for palace buildings 认领 引用 被引量：1
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作者 Zhiming Wang Jiangnan Peng +2 位作者 Xinzhi Liu Changan Di Bo Wang 《Emergency Management Science and Technology》 2024年第1期213-221,共9页
In response to the early warning requirements of fire security technology in the Imperial Palace&large Ming and Qing ancient architectural complexes in China,a grid based fire warning algorithm is proposed by comb... In response to the early warning requirements of fire security technology in the Imperial Palace&large Ming and Qing ancient architectural complexes in China,a grid based fire warning algorithm is proposed by combining neural network YOLOv5s smoke detection technology.In this algorithm,the inverse proportional gridding algorithm based on building density is used to optimize the grid of buildings,and compared with the results of the equidistant grid algorithm,the risk distribution division is more detailed and reasonable.The smoke detection part uses YOLOv5s based smoke detection technology to detect the distribution of fire smoke in various areas,and the positioning of this area in the overall grid realized by the remote transmission module.With detection experiments on relevant datasets,the results show that its accuracy and mAP both reach 0.99.By utilizing the collaborative effect of inverse proportional gridding algorithm and smoke detection technology,a grid based visualization of smoke warning is achieved. 展开更多
关键词 combining neural network yolov s smoke detection technologyin risk distribution grid based fire warning algorithm early warning fire security technology equidistant grid algorithmthe optimize grid inverse proportional gridding algorithm
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