Evidence map›Paper›PMID 26883082›Full record

ArticleScientific reports2016

HIV coreceptor tropism determination and mutational pattern identification.

Hui-Shuang Shen, Jason Yin, Fei Leng, Rui-Fang Teng, Chao Xu, Xia-Yu Xia, Xian-Ming Pan

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

7 authors.

Hui-Shuang ShenThe Key Laboratory of Bioinformatics, Ministry of Education, School of Life Sciences, Tsinghua University, China.
Jason YinDepartment of Biostatistics, Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Fei LengThe Key Laboratory of Bioinformatics, Ministry of Education, School of Life Sciences, Tsinghua University, China.
Rui-Fang TengThe Key Laboratory of Bioinformatics, Ministry of Education, School of Life Sciences, Tsinghua University, China.
Chao XuThe Key Laboratory of Bioinformatics, Ministry of Education, School of Life Sciences, Tsinghua University, China.
Xia-Yu XiaThe Key Laboratory of Bioinformatics, Ministry of Education, School of Life Sciences, Tsinghua University, China.
Xian-Ming PanThe Key Laboratory of Bioinformatics, Ministry of Education, School of Life Sciences, Tsinghua University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the early stages of infection, Human Immunodeficiency Virus Type 1 (HIV-1) generally selects CCR5 as the primary coreceptor for entering the host cell. As infection progresses, the virus evolves and may exhibit a coreceptor-switch to CXCR4. Accurate determination coreceptor usage and identification key mutational patterns associated tropism switch are essential for selection of appropriate therapies and understanding mechanism of coreceptor change. We developed a classifier composed of two coreceptor-specific weight matrices (CMs) based on a full-scale dataset. For this classifier, we found an AUC of 0.97, an accuracy of 95.21% and an MCC of 0.885 (sensitivity 92.92%; specificity 95.54%) in a ten-fold cross-validation, outperforming all other methods on an independent dataset (13% higher MCC value than geno2pheno and 15% higher MCC value than PSSM). A web server (http://spg.med.tsinghua.edu.cn/CM.html) based on our classifier was provided. Patterns of genetic mutations that occur along with coreceptor transitions were further identified based on the score of each sequence. Six pairs of one-AA mutational patterns and three pairs of two-AA mutational patterns were identified to associate with increasing propensity for X4 tropism. These mutational patterns offered new insights into the mechanism of coreceptor switch and aided in monitoring coreceptor switch.

Indexed as

MutationViral TropismAlgorithmsComputational BiologyDatasets as TopicHIV-1HIV InfectionsHumansReceptors, CCR5Receptors, HIVReproducibility of ResultsROC CurveReceptors, CCR5Receptors, HIV

Identifiers

PMID26883082
PMCPMC4756667

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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.