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Record W3009199563

[Rotavirus G9-Ⅵ Re-emerging and Circulating Predominantly in Children with Diarrhea in Beijing].

2016· article· en· W3009199563 on OpenAlexaboutno aff
Huijin Dong, Yu Sun, Linqing Zhao, Li Deng, Runan Zhu, Dongmei Chen, Liping Jia, Liying Liu, Zhang You, Yuan Qian

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsVirologyGenotypeBiologyRotavirusVirusGenBankMolecular biologyGeneGenetics
DOInot available

Abstract

fetched live from OpenAlex

The first reported group A rotavirus(RVA)G9 strain T203 in mainland China detected from an infant in Beijing in 1994 clustered within VP7 lineage Ⅵ(G9-Ⅵ),whereas the common RVA G9 belong to VP7 lineage Ⅲ(G9-Ⅲ) worldwide. Interestingly, since it was first reported in 1994 there was no G9-Ⅵ circulating in Beijing, until an unexpected G9-Ⅵ strain was identified by sequencing in 2010 RVA surveillance. This present study was to develop a convenient and effective dot-blot hybridization method for differentiating G9-Ⅲ and G9-Ⅵ rotaviruses, to investigate the re-emerging circulating distribution of G9-Ⅵ RVAs in outpatient children with diarrhea from 2011 to 2012in Beijing. By multiple-sequence aligning and analyzing the collected VP7 gene nucleotide sequences of G9 RVAs worldwide from GenBank database using Clustal W software, a region within VP7 gene which is highly divergent between G9-Ⅲ and G9-Ⅵ rotaviruses and conserved within themselves was selected as probe. One pair of common primers at both side of this probe region was designed, and used for synthesizing DIG labeled G9-Ⅲ and G9-Ⅵ probes with PCR, respectively. Subsequently, RVA G and P genotypes were identified as previously described. Then G9-Ⅲ and G9-Ⅵ were further differentiated from G9 RVAs using dot-blot hybridization method established in this study. It was showed that G9 was the most prevalent genotype(43.5%),followed by G3(30.5%)、G1(12.2%)and G2(11.5%),and no G4 genotype was detected.Interestingly,G9-Ⅵ was the most predominant(96.5%) type, while only 3.5% was G9-Ⅲ among these G9 rotaviruses.Phylogenetically,G9-Ⅵ rotaviruses in this study clustered closely with human G9-Ⅵ rotaviruses which were more recently re-emerging in several countries including China around the world as well as porcine G9-Ⅵ rotavirus strain F7P4 in Canada, whereas they clustered distantly to worldwide common G9-Ⅲ strains.G9-Ⅵ rotaviruses were re-emerging in the world, whether it gained stronger spreading ability or virulence than ever common G9-Ⅲ during evolution with porcine G9-Ⅵ rotaviruses need further analysis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.265
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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