Use of a multiantigen detection algorithm for diagnosis of Kaposi's sarcoma-associated herpesvirus infection.

Use of a multiantigen detection algorithm for diagnosis of Kaposi's sarcoma-associated herpesvirus infection. Research Abstract Details 

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Use of a multiantigen detection algorithm for diagnosis of Kaposi's sarcoma-associated herpesvirus infection. Abstract Text:

A Scott Laney,Jonathan S Peters,Susan M Manzi,Lawrence A Kingsley,Yuan Chang,Patrick S Moore,

The ability to readily and accurately diagnose Kaposi's sarcoma-associated herpesvirus (KSHV, or human herpesvirus 8) infection in individuals remains a demanding task. Among the available diagnostic methods, sensitivities and specificities range widely, and many are inadequate for large-scale screening studies. We examined a serological algorithm for detecting KSHV in human sera having high sensitivity and specificity. This method uses previously described open reading frame (ORF) K8.1 and ORF65 peptide-based enzyme-linked immunosorbent assays and a novel purified recombinant full-length LANA1 protein. We generated two multiantigen algorithms: one that maximized sensitivity and one that maximized specificity. These serological algorithms were then used to evaluate seroprevalence rates among populations of clinical and epidemiological importance. The serological algorithms yielded sensitivities of 96% and 93% and specificities of 94% and 98% for the more sensitive and specific algorithms, respectively. Among kidney donors, seroprevalence was low, 4.0% (2/50), and similar to that of blood donors (P = 0.46; odds ratio [OR], 1.4; confidence interval [CI], 0.14 to 7.9) using the highly specific algorithm. Using the sensitive algorithm, 8.0% (4/50) were infected compared to 6.4% (16/250) observed among blood donors (OR, 1.3; CI, 0.41 to 4.0; P = 0.43). Among subjects requiring bone marrow transplantation, seroprevalence rates were not elevated compared to those of blood donors (OR, 2.0; 95% CI, 0.10 to 122.9; P = 0.50). Because the need for high-quality KSHV detection methods are warranted and because questions remain about the optimal methods for assessing KSHV infection in individuals, we propose a systematic approach to standardize and optimize the assessment of KSHV infection rates using a combination of established and novel serological assays and methods.

Use of a multiantigen detection algorithm for diagnosis of Kaposi's sarcoma-associated herpesvirus infection. Publishing Authors By Initials

AS Laney,JS Peters,SM Manzi,LA Kingsley,Y Chang,PS Moore,

For similar investigative techniques: epidemiologic methods: epidemiologic study characteristics as topic: epidemiologic studies: seroepidemiologic studies research abstracts see: investigative techniques: epidemiologic methods: epidemiologic study characteristics as topic: epidemiologic studies: seroepidemiologic studies research

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Use of a multiantigen detection algorithm for diagnosis of Kaposi's sarcoma-associated herpesvirus infection. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: Journal of clinical microbiology

VOLUME: 44

Page Numbers: 3734-41

Journal Abbreviation: J. Clin. Microbiol.

ISSN: 0095-1137

DAY: 3

MONTH: Oct

YEAR: 2006

Use of a multiantigen detection algorithm for diagnosis of Kaposi's sarcoma-associated herpesvirus infection. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 7505564

Use of a multiantigen detection algorithm for diagnosis of Kaposi's sarcoma-associated herpesvirus infection. Keywords Mesh Terms:

KEYWORDS: Seroepidemiologic Studies

MESH TERMS: virology

Chemical & Substance for Abstract: Use of a multiantigen detection algorithm for diagnosis of Kaposi's sarcoma-associated herpesvirus infection. Information

Substance Name: Antigens, Viral

Registry Number: 0

Grant and Affiliation Information for Use of a multiantigen detection algorithm for diagnosis of Kaposi's sarcoma-associated herpesvirus infection.

AFFILIATION: Molecular Virology Program, University of Pittsburgh Cancer Institute, Hillman Cancer Research Pavilion Suite 1.8, 5117 Centre Avenue, Pittsburgh, PA 15213, USA.

Country: United States

AGENCY: United States NIAID

GRANT: U01-AI35041

ACRONYM: AI

MEDLINETA: J Clin Microbiol

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