Machine learning identified genetic features associated with HIV sequences in the monocytes

作     者：Xiaorong Peng Biao Zhu 

作者机构：State Key Laboratory for Diagnosis and Treatment of Infectious DiseasesNational Clinical Research Center for Infectious DiseasesCollaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesThe First Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhouZhejiang 310003China 

出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)

年 卷 期：2023年第136卷第24期

页      面：3002-3004页

核心收录：

学科分类：1004[医学-公共卫生与预防医学(可授医学、理学学位)] 1002[医学-临床医学] 100401[医学-流行病与卫生统计学] 10[医学] 

基　　金：supported by grants from the National Natural Science Foundation of China(No.82202522) the Independent Task of State Key Laboratory for Diagnosis and Treatment of Infectious Diseases(No.2019ZZ18) 

主　　题：monocytes latent harbor 

摘      要：To the Editor:Human immunodeficiency virus(HIV)DNA has been detected in circulating monocytes isolated from HIV-infected individuals with or without antiretroviral therapy(ART).[1]Infrequent and low levels of HIV DNA were detected in circulating monocytes.[2]Monocytes harbor replication-competent,non-latent HIV-1 in patients on ART.Earlier studies on circulating monocytes have revealed distinct viral populations and genetic characteristics compared to T cells.[3,4]However,there is currently no easy way to clearly distinguish virus in monocyte from virus in T-cell.