Evidence map›Paper›PMID 34692653›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Prioritization of Diagnostic and Prognostic Biomarkers for Lupus Nephritis Based on Integrated Bioinformatics Analyses.

Zhimin Chen, Ruilong Lan, Keng Ye, Hong Chen, Caiming Chen, Yanfang Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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  13. Identifying key genes in CD4Frontiers in genetics · 2022
    Article
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

6 authors at 2 institutions in 1 country.

Zhimin ChenDepartment of Nephrology, Blood Purification Research Center, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Ruilong LanCentral Laboratory, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Keng YeDepartment of Nephrology, Blood Purification Research Center, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Hong ChenDepartment of Pathology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Caiming ChenDepartment of Nephrology, Blood Purification Research Center, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Yanfang XuDepartment of Nephrology, Blood Purification Research Center, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Fujian Medical University · CNFirst Affiliated Hospital of Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lupus nephritis (LN) is an important driver of end-stage renal disease (ESRD). However, few biomarkers are available for evaluating the diagnosis and prognosis of LN. For this study, we downloaded microarray data of multiple LN expression profiles from the GEO database. We used the WGCNA and R limma packages to identify LN hub genes and differentially-expressed genes (DEGs). We identified nine co-DEGs in the intersection with LN-related genes from the Genecards database. We found DEGs that are primarily associated with immune-related functions and pathways (including with the complement pathway, primary immunodeficiency markers, and MHC-like protein complexes) through our comprehensive GSEA, GO, and KEGG enrichment analyses. We used other LN and SLE validation datasets and discovered six explicitly expressed co-DEGs:

Indexed as

bioinformaticsbiomarkersdiagnosislupus nephritisprognosisWGCNA

Identifiers

PMID34692653
PMCPMC8531593
OpenAlexW3205726961

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.