HIV-1 progression links with viral genetic variability and subtype, and patient's HLA type: Analysis of a Nairobi-Kenyan cohort

Syed Hani Abidi; Aniqa Shahid; Laila S. Lakhani; Reena Shah; Nancy Okinda; Peter Ojwang; Farhat Abbas; Sarah Rowland-Jones; Syed Ali

doi:10.1007/s00430-013-0314-1

HIV-1 progression links with viral genetic variability and subtype, and patient's HLA type: Analysis of a Nairobi-Kenyan cohort

Syed Hani Abidi, Aniqa Shahid, Laila S. Lakhani, Reena Shah, Nancy Okinda, Peter Ojwang, Farhat Abbas, Sarah Rowland-Jones, Syed Ali

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

In a Nairobi-Kenyan cohort of 50 HIV-1 positive patients, we analysed the prevalence of HIV-1 subtypes and human leucocyte antigen (HLA) alleles. From this cohort, 33 patients were selected for the analysis of HIV-1 infection progression markers (i.e. CD4 cell counts and viral loads) and their association with HIV-1 genetic variability and subtype, and patient's HLA type. HIV-1 gag genetic variability, analysed using bioinformatics tools, showed an inverse relationship with CD4 cell count whereas with viral load that relationship was direct. Certain HLA types and viral subtypes were also found to associate with patients' viral load. Associations between disease parameters and the genetic makeup of the host and virus may be crucial in determining the outcome of HIV-1 infection.

Original language	English (US)
Pages (from-to)	57-63
Number of pages	7
Journal	Medical Microbiology and Immunology
Volume	203
Issue number	1
DOIs	https://doi.org/10.1007/s00430-013-0314-1
State	Published - Feb 2014
Externally published	Yes

Keywords

Genetic variability
HIV
HLA
Kenya
Progression markers
Subtype

ASJC Scopus subject areas

Immunology and Allergy
Immunology
Microbiology (medical)

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10.1007/s00430-013-0314-1

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title = "HIV-1 progression links with viral genetic variability and subtype, and patient's HLA type: Analysis of a Nairobi-Kenyan cohort",

abstract = "In a Nairobi-Kenyan cohort of 50 HIV-1 positive patients, we analysed the prevalence of HIV-1 subtypes and human leucocyte antigen (HLA) alleles. From this cohort, 33 patients were selected for the analysis of HIV-1 infection progression markers (i.e. CD4 cell counts and viral loads) and their association with HIV-1 genetic variability and subtype, and patient's HLA type. HIV-1 gag genetic variability, analysed using bioinformatics tools, showed an inverse relationship with CD4 cell count whereas with viral load that relationship was direct. Certain HLA types and viral subtypes were also found to associate with patients' viral load. Associations between disease parameters and the genetic makeup of the host and virus may be crucial in determining the outcome of HIV-1 infection.",

keywords = "Genetic variability, HIV, HLA, Kenya, Progression markers, Subtype",

author = "Abidi, {Syed Hani} and Aniqa Shahid and Lakhani, {Laila S.} and Reena Shah and Nancy Okinda and Peter Ojwang and Farhat Abbas and Sarah Rowland-Jones and Syed Ali",

note = "Funding Information: Acknowledgments For this study, Syed Hani Abidi{\textquoteright}s training was funded by HIV Research Trust (Scholarship No. HIVRT 10-059).",

year = "2014",

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doi = "10.1007/s00430-013-0314-1",

language = "English (US)",

volume = "203",

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journal = "Medical Microbiology and Immunology",

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T2 - Analysis of a Nairobi-Kenyan cohort

AU - Abidi, Syed Hani

AU - Shahid, Aniqa

AU - Lakhani, Laila S.

AU - Shah, Reena

AU - Okinda, Nancy

AU - Ojwang, Peter

AU - Abbas, Farhat

AU - Rowland-Jones, Sarah

AU - Ali, Syed

N1 - Funding Information: Acknowledgments For this study, Syed Hani Abidi’s training was funded by HIV Research Trust (Scholarship No. HIVRT 10-059).

PY - 2014/2

Y1 - 2014/2

N2 - In a Nairobi-Kenyan cohort of 50 HIV-1 positive patients, we analysed the prevalence of HIV-1 subtypes and human leucocyte antigen (HLA) alleles. From this cohort, 33 patients were selected for the analysis of HIV-1 infection progression markers (i.e. CD4 cell counts and viral loads) and their association with HIV-1 genetic variability and subtype, and patient's HLA type. HIV-1 gag genetic variability, analysed using bioinformatics tools, showed an inverse relationship with CD4 cell count whereas with viral load that relationship was direct. Certain HLA types and viral subtypes were also found to associate with patients' viral load. Associations between disease parameters and the genetic makeup of the host and virus may be crucial in determining the outcome of HIV-1 infection.

AB - In a Nairobi-Kenyan cohort of 50 HIV-1 positive patients, we analysed the prevalence of HIV-1 subtypes and human leucocyte antigen (HLA) alleles. From this cohort, 33 patients were selected for the analysis of HIV-1 infection progression markers (i.e. CD4 cell counts and viral loads) and their association with HIV-1 genetic variability and subtype, and patient's HLA type. HIV-1 gag genetic variability, analysed using bioinformatics tools, showed an inverse relationship with CD4 cell count whereas with viral load that relationship was direct. Certain HLA types and viral subtypes were also found to associate with patients' viral load. Associations between disease parameters and the genetic makeup of the host and virus may be crucial in determining the outcome of HIV-1 infection.

KW - Genetic variability

KW - HIV

KW - HLA

KW - Kenya

KW - Progression markers

KW - Subtype

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HIV-1 progression links with viral genetic variability and subtype, and patient's HLA type: Analysis of a Nairobi-Kenyan cohort

Abstract

Keywords

ASJC Scopus subject areas

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