Evidence map›Paper›PMID 29567951›Full record

ArticleScientific reports2018

Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation.

Linpei Jia, Wenjing Fu, Rufu Jia, Leiyun Wu, Xiaoxia Li, Qiang Jia, Hongliang Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Linpei JiaDepartment of Nephrology, Xuanwu Hospital of Capital Medical University, Changchun Street 45#, 100053, Beijing, China. anny_069@163.com.
Wenjing FuDepartment of Nephrology, Xuanwu Hospital of Capital Medical University, Changchun Street 45#, 100053, Beijing, China.
Rufu JiaCentral Hospital of Cangzhou, Xinhua Middle Street 201#, 061001, Cangzhou, Hebei Province, China.
Leiyun WuDepartment of Nephrology, Xuanwu Hospital of Capital Medical University, Changchun Street 45#, 100053, Beijing, China.
Xiaoxia LiDepartment of Nephrology, Xuanwu Hospital of Capital Medical University, Changchun Street 45#, 100053, Beijing, China.
Qiang JiaDepartment of Nephrology, Xuanwu Hospital of Capital Medical University, Changchun Street 45#, 100053, Beijing, China. jiaqiang9509@sina.com.
Hongliang ZhangDepartment of Life Sciences, the National Natural Science Foundation of China, Shuangqing Road 83#, 100085, Beijing, China. drzhl@hotmail.com.
Capital Medical University · CNCangzhou Central Hospital · CNNational Natural Science Foundation of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to identify the key protein interaction networks and implicated pathways of BK virus nephropathy (BKVN) via bioinformatic methods. The microarray data GSE75693 of 30 patients with stable kidney transplantation and 15 with BKVN were downloaded and analyzed by using the limma package to identify differentially expressed genes (DEGs). Then the gene ontology (GO) functional enrichment analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were done to investigate the molecular function (MF), biological process (BP), cellular components (CC) and pathways of DEGs. Finally, protein-protein interactions (PPIs) were constructed, and the hub proteins were  identified. As a result, 249 up-regulated genes and 253 down-regulated genes of BKVN patients were selected based on criteria of P > 0.01 and fold change >2.0. GO and KEGG showed that DEGs were mainly located in nucleus and cytosol, and were implicated in the immune responses. In the PPI analysis, 26 up-regulated and 8 down-regulated proteins composed the pivotal interaction network. CXCL10, EGF and STAT1 were identified as hub proteins in BKVN. In conclusion, CXCL10, EGF and STAT1 may induce kidney injuries by promoting inflammation and prohibiting reparation of tissue damage in BKVN.

Indexed as

Protein Interaction MappingAllograftsBiopsyBK VirusChemokine CXCL10Computational BiologyDatasets as TopicEpidermal Growth FactorGene Expression ProfilingGene Regulatory NetworksGraft RejectionHumansKidneyKidney TransplantationOligonucleotide Array Sequence AnalysisPolyomavirus InfectionsChemokine CXCL10CXCL10 protein, humanEpidermal Growth FactorSTAT1 protein, humanSTAT1 Transcription Factor

Identifiers

PMID29567951
PMCPMC5864740
OpenAlexW2806306090

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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.