Literature DB >> 17050930

Western blot profile in HIV infection.

T Sudha1, V Lakshmi, V D Teja.   

Abstract

BACKGROUND: Although the overall sensitivity and specificity of the western blot (WB) test for detection of antibodies to various viral proteins is high, there has been a substantial difference in the timing of the appearance of antibody bands and their intensities during different stages of HIV infection. AIMS: Mapping different band patterns of Western blot results and correlating them with stages of HIV infection.
METHODS: We performed a retrospective study with 1,467 HIV-1 infected cases confirmed by WB test between January 2002 to July 2005, with the objective of mapping different band patterns of western blot results and determining whether the presence or absence of certain bands was associated with any specific stage of HIV infection. For the interpretation of the WB results in this study, the guidelines recommended by NACO, India were followed.
RESULTS: Reactivity with all the bands was the most commonly observed WB pattern, occurring in 92.91% (1363/1467) of cases, whereas the other 7.09% showed uncommon band patterns. Of all individual bands, p31 band was the most frequently missing one, absent in 7.09% cases. On classifying the WB reactive cases by the WHO clinical staging system, 38.45% (564/1467) were in Stage 1, 47.99% (704/1467) in stages 2 and 3 and 13.56% in stage 4. Correlation of CD4 cell counts with the various uncommon band patterns showed that only 5.56% (4/72) had counts in the 200-500 cells/microl range, whereas 45.83% and 48.61% had counts of < 200 and> 500 cells/microl respectively.
CONCLUSION: Interpretation of the WB band pattern in combination with clinical features may be occasionally useful in predicting the stage of HIV infection.

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Year:  2006        PMID: 17050930     DOI: 10.4103/0378-6323.27752

Source DB:  PubMed          Journal:  Indian J Dermatol Venereol Leprol        ISSN: 0378-6323            Impact factor:   2.545


  6 in total

1.  Multistrip Western blotting to increase quantitative data output.

Authors:  Edita Aksamitiene; Jan B Hoek; Boris Kholodenko; Anatoly Kiyatkin
Journal:  Electrophoresis       Date:  2007-09       Impact factor: 3.535

2.  Identifying the early post-HIV antibody seroconversion period.

Authors:  Frederick M Hecht; Robert Wellman; Michael P Busch; Christopher D Pilcher; Philip J Norris; Joseph B Margolick; Ann C Collier; Susan J Little; Martin Markowitz; Jean-Pierre Routy; Sarah Holte
Journal:  J Infect Dis       Date:  2011-08-15       Impact factor: 5.226

3.  Human Immunodeficiency Virus (HIV) types Western blot (WB) band profiles as potential surrogate markers of HIV disease progression and predictors of vertical transmission in a cohort of infected but antiretroviral therapy naïve pregnant women in Harare, Zimbabwe.

Authors:  Kerina Duri; Fredrik Müller; Felicity Z Gumbo; Nyaradzai E Kurewa; Simba Rusakaniko; Mike Z Chirenje; Munyaradzi P Mapingure; Babill Stray-Pedersen
Journal:  BMC Infect Dis       Date:  2011-01-06       Impact factor: 3.090

4.  Decision tree for accurate infection timing in individuals newly diagnosed with HIV-1 infection.

Authors:  Chris Verhofstede; Katrien Fransen; Annelies Van Den Heuvel; Kristel Van Laethem; Jean Ruelle; Ellen Vancutsem; Karolien Stoffels; Sigi Van den Wijngaert; Marie-Luce Delforge; Dolores Vaira; Laura Hebberecht; Marlies Schauvliege; Virginie Mortier; Kenny Dauwe; Steven Callens
Journal:  BMC Infect Dis       Date:  2017-11-29       Impact factor: 3.090

5.  Western Blot-Based Logistic Regression Model for the Identification of Recent HIV-1 Infection: A Promising HIV-1 Surveillance Approach for Resource-Limited Regions.

Authors:  Jiegang Huang; Minlian Wang; Chunyuan Huang; Bingyu Liang; Junjun Jiang; Chuanyi Ning; Ning Zang; Hui Chen; Jie Liu; Rongfeng Chen; Yanyan Liao; Li Ye; Hao Liang
Journal:  Biomed Res Int       Date:  2018-01-14       Impact factor: 3.411

6.  The evaluation of a rapid in situ HIV confirmation test in a programme with a high failure rate of the WHO HIV two-test diagnostic algorithm.

Authors:  Derryck B Klarkowski; Joseph M Wazome; Kamalini M Lokuge; Leslie Shanks; Clair F Mills; Daniel P O'Brien
Journal:  PLoS One       Date:  2009-02-06       Impact factor: 3.240

  6 in total

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