Evidence map›Paper›PMID 22237892›Full record

ArticleClinical and vaccine immunology : CVI2012

Monitoring of peptide-specific and gamma interferon-productive T cells in patients with active and convalescent tuberculosis using an enzyme-linked immunosorbent spot assay.

Fang-Fang Yang, Zhi-Quan Tu, Yi-Min Fang, Yan Li, Yi Peng, Tao Dong, Cong Wang, Shu-Xian Lin, Neng-Yong Zhan, Zhi-Ming Ma and 3 more

Abstract read
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Article in Clinical and vaccine immunology : CVI, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors.

Fang-Fang YangDepartment of Microbiology, Ministry of Education Key Laboratory of Tropical Diseases Control, Guangdong Provincial Research Center for Severe Infectious Disease Prevention and Control Technology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Zhi-Quan Tu
Yi-Min Fang
Yan Li
Yi Peng
Tao Dong
Cong Wang
Shu-Xian Lin
Neng-Yong Zhan
Zhi-Ming Ma
Yong-Zhong Feng
Shou-Yong Tan
Xiao-Min Lai

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To establish a high-efficiency gamma interferon-specific enzyme-linked immunosorbent spot assay (IFN-γ ELISPOT assay) for detection of tuberculosis (TB), peptides (E6, E7, and C14) and peptide mixtures (E6 plus E7 and E6 plus E7 plus C14) were used to monitor peripheral blood (PBL) samples from patients with pulmonary TB (PTB), as well as control samples. The positive detection rates of the five IFN-γ ELISPOT assays were 78.38%, 74.86%, 55.83%, 90.43%, and 91.51%, respectively, and there were similar detection rates between the two combined peptide mixture IFN-γ ELISPOT assays and the tuberculin skin test (TST) (90.62% versus 95.59%). No significant difference was found between the detection rates of the two combined peptide mixture IFN-γ ELISPOT assays and the T-SPOT.TB assay for 86 patients with PTB (P > 0.05), but the median number of spot-forming cells/10(6) cells (SFP value) for positive results was higher by the former than by the latter assay (P < 0.05). In contrast, the 29.93% positive detection rate and median SFP value of 482 by the two combined peptide mixture IFN-γ ELISPOT assays were significantly higher than the corresponding values of 14.29% and 152 by T-SPOT.TB assay for the same 147 community donors (P < 0.05). For nine PTB patients tracked, the SFP value of 7 for the two peptide mixture IFN-γ ELISPOT assays began to decrease from the second month after regular treatment. A relatively low, almost normal, SFP level was reached and maintained after the third or fourth month. Two in-house IFN-γ ELISPOT assays and the T-SPOT.TB assay could reduce the false-positive and false-negative detection rates of TST and sputum acid-fast staining. Therefore, these two combined peptide mixture IFN-γ ELISPOT assays have a potential advantage, beyond their greater specificity and sensitivity, for use in screening and detection of active TB infection (TBI) and latent TB infection (LTBI) in China.

Indexed as

Antigens, BacterialAdolescentAdultAgedAged, 80 and overChinaEnzyme-Linked Immunospot AssayFemaleHumansInterferon-gammaMaleMiddle AgedPeptidesSensitivity and SpecificityT-LymphocytesTuberculosis, PulmonaryAntigens, BacterialInterferon-gammaPeptides

Identifiers

PMID22237892
PMCPMC3294602

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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.