Evidence map›Paper›PMID 30514379›Full record

ArticleInfectious diseases of poverty2018

Establishment of a Chinese street rabies virus library and its application for detecting neutralizing activity.

Peng-Cheng Yu, Xiao-Yan Tao, Li-Hua Wang, Qing Tang, Li-Yun Fan, Shu-Xia Zhang, Shu-Qing Liu, Xue-Xin Lu, Gui-Zhen Wu, Wu-Yang Zhu

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
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  6. Fucosylated oligosaccharide Lacto-Food chemistry: X · 2022
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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

10 authors.

Peng-Cheng YuKey Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Xiao-Yan TaoKey Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Li-Hua WangKey Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Qing TangKey Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Li-Yun FanKey Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Shu-Xia ZhangKey Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Shu-Qing LiuKey Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Xue-Xin LuKey Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Gui-Zhen WuKey Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. wgzcdc@hotmail.com.
Wu-Yang ZhuKey Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. zhuwuyang1971@sina.com.

Funding

China Mega-Project for Infectious Disease 2017ZX10104001-004-001The National Natural Science Foundation of China 31500152The National Program on Key Research Project of China 2016YFD0500400
6 · The paper itself

Abstract

backgroundThe injection of rabies immune globulin (RIG) is of the utmost importance in the management of category III exposures to rabies-suspect animals. Because of the high cost and limited availability of existing RIG, one possible replacement for RIG is monoclonal antibodies (MAbs) against the rabies virus (RABV). Consequently, it is necessary to determine the neutralizing activity of the MAbs against rabies viruses, especially street rabies virus. However, the method to detect the neutralizing activity of MAbs against street rabies virus remains undefined.

methodsTo establish a method for detecting the neutralizing activity of MAbs against street rabies virus, we constructed a library consisting of 12 strains of street RABV from 11 provinces in China. Using this street RABV library and the Reed-Muench formula, we established a method for detecting the neutralizing titer of the MAbs. The reliability and repeatability of the method were evaluated by repeatedly measuring the neutralizing activity of a MAb and a post vaccination serum.

resultsA total of 12 strains of street RABV were chosen for inclusion in the street RABV library, which covered six Chinese lineages (China I-China VI) and grew to high titers in N2A cells (> 10

conclusionsThis study established a street RABV library reflecting the epidemiological features of Chinese rabies viruses, which provides a platform for detecting the neutralizing activity of MAbs against rabies viruses circulating in China.

Indexed as

AnimalsAntibodies, MonoclonalAntibodies, ViralChinaGene LibraryHumansImmunoglobulinsNeutralization TestsPhylogenyRabiesRabies VaccinesRabies virusAntibodies, MonoclonalAntibodies, ViralImmunoglobulinsRabies VaccinesMAbsNeutralizing activityStreet RABV

Identifiers

PMID30514379
PMCPMC6280407

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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.