คลังข้อมูลการวิจัยการเกษตรไทย

ผู้แต่ง Nina Marty

เผยแพร่โดย

1 Molecular Virology, Department Biomedicine-Petersplatz, University of Basel, Basel, Switzerland 2 Hazardous Pathogen Laboratory, National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand 3 Institute of Virology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany 4 Methods in Medical Informatics, Department of Computer Science, University of Tuebingen, Tuebingen, Germany 5 Medizinisches Infektiologiezentrum Berlin, Berlin, Germany 6 Max Planck Institute for Informatics, Saarland Informatics Campus E1 4, Saarbruecken, Germany

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งานวิจัยที่แนะนำ Naturally Occurring Mutations in HIV-1 CRF01_AE Capsid Affect Viral Sensitivity to Restriction Factors National Survey of Pretreatment HIV-Drug Resistance in Thai HIV-1-Infected Adults ผลงานนำเสนอประชุมวิชาการกระทรวงสาธารณสุข ปีงบประมาณ 2559 เรื่อง การประเมินการตรวจการติดเชื้อ HIV-1 ด้วยวิธี Real time PCR จากตัวอย่างเลือดและกระดาษซับเลือด Circulation of HIV-1 Multiple Complexity Recombinant Forms Among Female Sex Workers Recently Infected with HIV-1 in Thailand External Quality Assessment Scheme for HIV-1 Drug Resistance Genotyping in Thailand Genotyping of Mycobacterium tuberculosis by Spoligotyping การตรวจแยกสายพันธุ์เชื้อวัณโรคด้วยวิธี Spoligotyping Hepatitis B and C co-infection in HIV patients from the TREAT Asia HIV observational database: Analysis of risk factors and survival Distribution and Ecological Drivers of Spotted Fever Group Rickettsia in Asia PATHOGENICITY ASSAY OF CORYNESPORA CASSIICOLA ISOLATES FROM RUBBER TREE AND OTHER HOSTS IN VIETNAM Progress on research on rodents and rodent-borne zoonoses in South-east Asia

คัดลอก URL

ชื่อเรื่อง (EN):	Optimization of genotyping by phenotypic analysis of clinical HIV-1 subtype CRF01_AE isolates from South-East Asia
ผู้แต่ง / หัวหน้าโครงการ (EN):	Nina Marty
บทคัดย่อ (EN):	Objectives: The latent HIV reservoir in lymphoid cells continues to be a major obstacle for curing HIV. We reported (1) from the Swiss HIV cohort that, under ART, the viral tropism plays a role for decay and kinetics of the latent reservoir: Contrasting the untreated situation, the frequency of X4 tropic proviruses decreases in most patients on therapy, hinting a selective virus elimination and new perspectives for cure research. Hence the accurate determination of tropism appears crucial for strategies to eradicate HIV reservoir in patients. Different phenotypic and genotypic tools have been developed for tropism-prediction, e.g. geno2pheno[coreceptor] (2), which has been validated on large HIV-1 subtype B cohorts. However, for other HIV subtypes tropism prediction proved to be difficult. This study therefore aimed at improving the reliability of tropism prediction for subtype CRF01_AE. Methods: 45 HIV-1 clinical subtype CRF01_AE samples from Thailand were used for parallel phenotyping and genotyping. 15 of which were used to adapt the G2P algorithm, and 30 separate samples for functionally validating the new tool. Results: V3-sequences were used for the genotypic prediction by geno2pheno [coreceptor] and a new algorithm version. The results indicate an overcalling of X4 with a False-Positive-Rate cut-off (FPR) of 10%. In parallel, the tropism of most subtype CRF01_AE samples was phenotypically determined. Objectives: The latent HIV reservoir in lymphoid cells continues to be a major obstacle for curing HIV. We reported (1) from the Swiss HIV cohort that, under ART, the viral tropism plays a role for decay and kinetics of the latent reservoir: Contrasting the untreated situation, the frequency of X4 tropic proviruses decreases in most patients on therapy, hinting a selective virus elimination and new perspectives for cure research. Hence the accurate determination of tropism appears crucial for strategies to eradicate HIV reservoir in patients. Different phenotypic and genotypic tools have been developed for tropism-prediction, e.g. geno2pheno[coreceptor] (2), which has been validated on large HIV-1 subtype B cohorts. However, for other HIV subtypes tropism prediction proved to be difficult. This study therefore aimed at improving the reliability of tropism prediction for subtype CRF01_AE. Methods: 45 HIV-1 clinical subtype CRF01_AE samples from Thailand were used for parallel phenotyping and genotyping. 15 of which were used to adapt the G2P algorithm, and 30 separate samples for functionally validating the new tool. Results: V3-sequences were used for the genotypic prediction by geno2pheno [coreceptor] and a new algorithm version. The results indicate an overcalling of X4 with a False-Positive-Rate cut-off (FPR) of 10%. In parallel, the tropism of most subtype CRF01_AE samples was phenotypically determined.
บทคัดย่อ:	ไม่พบข้อมูลจากหน่วยงานต้นทาง
ภาษา (EN):	en
เอกสารแนบ (EN):	http://nih.dmsc.moph.go.th/research/showimgdetil.php?id=694
เผยแพร่โดย (EN):	1 Molecular Virology, Department Biomedicine-Petersplatz, University of Basel, Basel, Switzerland 2 Hazardous Pathogen Laboratory, National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand 3 Institute of Virology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany 4 Methods in Medical Informatics, Department of Computer Science, University of Tuebingen, Tuebingen, Germany 5 Medizinisches Infektiologiezentrum Berlin, Berlin, Germany 6 Max Planck Institute for Informatics, Saarland Informatics Campus E1 4, Saarbruecken, Germany
คำสำคัญ (EN):	HIV-1
เจ้าของลิขสิทธิ์ (EN):	National Institute of Health, Department of Medical Science