ridm@nrct.go.th   ระบบคลังข้อมูลงานวิจัยไทย   รายการโปรดที่คุณเลือกไว้

Estimating the timing of mother-to-child transmission of the human immunodeficiency virus type 1 using a viral molecular evolution model

หน่วยงาน มหาวิทยาลัยเชียงใหม่

รายละเอียด

ชื่อเรื่อง : Estimating the timing of mother-to-child transmission of the human immunodeficiency virus type 1 using a viral molecular evolution model
นักวิจัย : Chaillon A. , Samleerat T. , Zoveda F. , Ballesteros S. , Moreau A. , Ngo-Giang-Huong N. , Jourdain G. , Gianella S. , Lallemant M. , Depaulis F. , Barin F.
คำค้น : -
หน่วยงาน : มหาวิทยาลัยเชียงใหม่
ผู้ร่วมงาน : -
ปีพิมพ์ : 2557
อ้างอิง : 19326203 , 10.1371/journal.pone.0090421 , POLNC , http://www.scopus.com/inward/record.url?eid=2-s2.0-84899580589&partnerID=40&md5=f31fac0e7800a9b96b8af4f3c763463c , http://cmuir.cmu.ac.th/handle/6653943832/692
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : -
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

Background: Mother-to-child transmission (MTCT) is responsible for most pediatric HIV-1 infections worldwide. It can occur during pregnancy, labor, or breastfeeding. Numerous studies have used coalescent and molecular clock methods to understand the epidemic history of HIV-1, but the timing of vertical transmission has not been studied using these methods. Taking advantage of the constant accumulation of HIV genetic variation over time and using longitudinally sampled viral sequences, we used a coalescent approach to investigate the timing of MTCT. Materials and Methods: Six-hundred and twenty-two clonal env sequences from the RNA and DNA viral population were longitudinally sampled from nine HIV-1 infected mother-and-child pairs [range: 277-1034 days]. For each transmission pair, timing of MTCT was determined using a coalescent-based model within a Bayesian statistical framework. Results were compared with available estimates of MTCT timing obtained with the classic biomedical approach based on serial HIV DNA detection by PCR assays. Results: Four children were infected during pregnancy, whereas the remaining five children were infected at time of delivery. For eight out of nine pairs, results were consistent with the transmission periods assessed by standard PCR-based assay. The discordance in the remaining case was likely confused by co-infection, with simultaneous introduction of multiple maternal viral variants at the time of delivery. Conclusions: The study provided the opportunity to validate the Bayesian coalescent approach that determines the timing of MTCT of HIV-1. It illustrates the power of population genetics approaches to reliably estimate the timing of transmission events and deepens our knowledge about the dynamics of viral evolution in HIV-infected children, accounting for the complexity of multiple transmission events. © 2014 Chaillon et al.

บรรณานุกรม :
Chaillon A. , Samleerat T. , Zoveda F. , Ballesteros S. , Moreau A. , Ngo-Giang-Huong N. , Jourdain G. , Gianella S. , Lallemant M. , Depaulis F. , Barin F. . (2557). Estimating the timing of mother-to-child transmission of the human immunodeficiency virus type 1 using a viral molecular evolution model.
    เชียงใหม่ : มหาวิทยาลัยเชียงใหม่ .
Chaillon A. , Samleerat T. , Zoveda F. , Ballesteros S. , Moreau A. , Ngo-Giang-Huong N. , Jourdain G. , Gianella S. , Lallemant M. , Depaulis F. , Barin F. . 2557. "Estimating the timing of mother-to-child transmission of the human immunodeficiency virus type 1 using a viral molecular evolution model".
    เชียงใหม่ : มหาวิทยาลัยเชียงใหม่ .
Chaillon A. , Samleerat T. , Zoveda F. , Ballesteros S. , Moreau A. , Ngo-Giang-Huong N. , Jourdain G. , Gianella S. , Lallemant M. , Depaulis F. , Barin F. . "Estimating the timing of mother-to-child transmission of the human immunodeficiency virus type 1 using a viral molecular evolution model."
    เชียงใหม่ : มหาวิทยาลัยเชียงใหม่ , 2557. Print.
Chaillon A. , Samleerat T. , Zoveda F. , Ballesteros S. , Moreau A. , Ngo-Giang-Huong N. , Jourdain G. , Gianella S. , Lallemant M. , Depaulis F. , Barin F. . Estimating the timing of mother-to-child transmission of the human immunodeficiency virus type 1 using a viral molecular evolution model. เชียงใหม่ : มหาวิทยาลัยเชียงใหม่ ; 2557.