Evidence map›Paper›PMID 21990424›Full record

ArticleThe Journal of infectious diseases2011

Comparison of humoral immune responses to Epstein-Barr virus and Kaposi's sarcoma-associated herpesvirus using a viral proteome microarray.

Dasheng Zheng, Jun Wan, Yong Gu Cho, Leyao Wang, Chuang-Jiun Chiou, Shweta Pai, Crystal Woodard, Jian Zhu, Gangling Liao, Otoniel Martinez-Maza and 5 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The Journal of infectious diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Circulating Antibodies against Epstein-Barr Virus (EBV) and p53 in EBV-Positive and -Negative Gastric Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Pooled it
  2. Article
  3. Immunoproteomics: The Evolution from Classical Methods to Emerging Techniques.Methods in molecular biology (Clifton, N.J.) · 2026
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  13. Luciferase immunoprecipitation systems for measuring antibodies in autoimmune and infectious diseases.Translational research : the journal of laboratory and clinical medicine · 2015
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 2 countries.

Dasheng ZhengViral Oncology Program, Sidney Kimmel Cancer Center, Baltimore, Maryland, USA.
Jun Wan
Yong Gu Cho
Leyao Wang
Chuang-Jiun Chiou
Shweta Pai
Crystal Woodard
Jian Zhu
Gangling Liao
Otoniel Martinez-Maza
Jiang Qian
Heng Zhu
Gary S Hayward
Richard F Ambinder
S Diane Hayward
Global Viral · USSidney Kimmel Cancer Center · USBlack AIDS Institute · USChinese Academy of Sciences · CNJohns Hopkins University · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Regulation of replication and latency EBV EBNAsR37CA042245 · NCI · JOHNS HOPKINS UNIVERSITY · PI HAYWARD, S DIANE · 2003 to 2012
$3.6M
EBV GENOME EXPRESSION:LOCALIZATION OF SPECIFIC FUNCTIONSR01CA030356 · NCI · JOHNS HOPKINS UNIVERSITY · PI HAYWARD, S DIANE · 1986 to 2009
$3.3M
Development of a virion display (VirD) array to profile human GPCR interactionsR33CA186790 · NCI · JOHNS HOPKINS UNIVERSITY · PI DESAI, PRASHANT J, ZHU, HENG · 2015 to 2017
$1.2M
Generation and Evaluation of KSHV VLPs as VaccinesRC2CA148402 · NCI · JOHNS HOPKINS UNIVERSITY · PI DESAI, PRASHANT J, HAYWARD, GARY S · 2009 to 2010
$994k
MANIPULATION OF KINASE ACTIVITY BY KSHV LANAR21CA138163 · NCI · JOHNS HOPKINS UNIVERSITY · PI HAYWARD, S DIANE · 2009 to 2010
$397k
NCI NIH HHS P30 CA006973NCI NIH HHS P30CA006973NCI NIH HHS R01 CA030356NCI NIH HHS R01 CA30356NCI NIH HHS R21 CA138163NCI NIH HHS R33 CA186790NCI NIH HHS R37 CA042245NCI NIH HHS R37 CA42245NCI NIH HHS RC2 CA148402
6 · The paper itself

Abstract

backgroundEpstein-Barr virus (EBV) is a ubiquitous herpesvirus, and Kaposi's sarcoma-associated herpesvirus (KSHV) has a restricted seroprevalence. Both viruses are associated with malignancies that have an increased frequency in individuals who are coinfected with human immunodeficiency virus type 1 (HIV-1).

methodsTo obtain an overview of humoral immune responses to these viruses, we generated a protein array that displayed 174 EBV and KSHV polypeptides purified from yeast. Antibody responses to EBV and KSHV were examined in plasma from healthy volunteers and patients with B cell lymphoma or with AIDS-related Kaposi's sarcoma or lymphoma.

resultsIn addition to the commonly studied antigens, IgG responses were frequently detected to the tegument proteins KSHV ORF38 and EBV BBRF and BGLF2 and BNRF1 and to the EBV early lytic proteins BRRF1 and BORF2. The EBV vIL-10 protein was particularly well recognized by plasma IgA. The most intense IgG responses to EBV antigens occurred in HIV-1-positive patients. No clear correlation was observed between viral DNA load in plasma and antibody profile.

conclusionsThe protein array provided a sensitive platform for global screening; identified new, frequently recognized viral antigens; and revealed a broader humoral response to EBV compared with KSHV in the same patients.

Indexed as

Immunity, HumoralAntigens, ViralHerpesvirus 4, HumanHerpesvirus 8, HumanHIV-1HIV SeronegativityHIV SeropositivityHumansImmunoglobulin ALymphoma, AIDS-RelatedLymphoma, B-CellProtein Array AnalysisSarcoma, KaposiViral LoadAntigens, ViralImmunoglobulin A

Identifiers

PMID21990424
PMCPMC3203236
OpenAlexW2152607530

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.