Evidence map›Paper›PMID 31673979›Full record

ArticleClinical rheumatology2020

Bioinformatics identification of key candidate genes and pathways associated with systemic lupus erythematosus.

Fangyuan Yang, Zeqing Zhai, Xiaoqing Luo, Guihu Luo, Lili Zhuang, Yanan Zhang, Yehao Li, Erwei Sun, Yi He

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular and Cellular Mediators of Renal Fibrosis in Lupus Nephritis.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Expression and function of Smad7 in autoimmune and inflammatory diseases.Journal of molecular medicine (Berlin, Germany) · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. IFN-BioMed research international · 2020
    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

9 authors at 1 institution in 1 country.

Fangyuan Yang *Department of Rheumatology and Immunology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Zeqing Zhai *Department of Rheumatology and Immunology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Xiaoqing LuoDepartment of Rheumatology and Immunology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Guihu LuoDepartment of Rheumatology and Immunology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Lili ZhuangDepartment of Rheumatology and Immunology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Yanan ZhangDepartment of Rheumatology and Immunology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Yehao LiDepartment of Rheumatology and Immunology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Erwei SunDepartment of Rheumatology and Immunology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China. sunew@smu.edu.cn.
Yi HeDepartment of Rheumatology and Immunology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China. heyi1983@smu.edu.cn.ORCID http://orcid.org/0000-0002-9367-6186
Third Affiliated Hospital of Southern Medical University · CN

Funding

Guangdong Science and Technology Department 2014B020212024National Natural Science Foundation of China 81501417National Natural Science Foundation of China 81671623
6 · The paper itself

Abstract

objectiveSystemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by autoantibody production and multi-system involvement, but the etiology is largely unclear. This study aimed to elucidate candidate genes and pathways involved in SLE.

methodsThree original datasets GSE72509, GSE20864, and GSE39088 were downloaded from Gene Expression Omnibus (GEO) and the data were further integrated and analyzed. Subsequently, differentially expressed genes (DEGs) between SLE patients and healthy people were identified. And then we performed gene ontology (GO) function and pathway enrichment analyses of common DEGs, and constructed a protein-protein interaction (PPI) network with STRING database. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was carried out to validate the expression levels of candidate genes in blood samples from SLE patients and healthy controls.

resultsIn total, 321 common DEGs were identified in SLE patients compared with healthy controls, including 231 upregulated and 90 downregulated genes. GO function analysis revealed that 321 common DEGs were mainly enriched in innate immune response, defense response, cytokine-mediated signaling pathway, response to interferon-alpha, and I-kappaB kinase/NF-kappaB signaling. Additionally, pathway enrichment analysis indicated that DEGs were mainly enriched in several signaling pathways associated with immune system and apoptosis, including RIG-I-like receptor signaling pathway, antigen processing and presentation, and p53 signaling pathway. The expression levels of candidate genes RPL26L1, FBXW11, FOXO1, and SMAD7 were validated by RT-qPCR analysis.

conclusionsThe four hub genes including RPL26L1, FBXW11, FOXO1, and SMAD7 may play key roles in the pathogenesis and development of SLE. RIG-I-like receptor signaling pathway, antigen processing and presentation pathway, and p53 signaling pathway may be closely implicated in SLE pathogenesis. Collectively, these results may provide valuable novel markers or targets for the diagnosis and treatment of SLE.Key Points• Integrated bioinformatics analysis of three profile datasets based on SLE patients and healthy controls was performed and 321 common DEGs were identified.• The 321 common DEGs were mainly enriched in biological processes related to immune responses and inflammatory responses, including innate immune response, defense response, cytokine-mediated signaling pathway, response to interferon-alpha, I-kappaB kinase/NF-kappaB signaling, whereas the three most significant cellular components were oxidoreductase complex, AIM2 inflammasome complex, and ubiquitin ligase complex.• KEGG pathway enrichment analysis indicated that common DEGs were mainly enriched in several signaling pathways associated with immune system and apoptosis, including RIG-I-like receptor signaling pathway, antigen processing and presentation, and p53 signaling pathway.• Candidate genes RPL26L1, FBXW11, FOXO1, and SMAD7 may be closely involved in the pathogenesis and development of SLE and may provide valuable novel markers or targets for the diagnosis and treatment of SLE.

Indexed as

TranscriptomeCase-Control StudiesComputational BiologyHumansLupus Erythematosus, SystemicProtein Interaction MapsSignal TransductionBioinformatics analysisInterferon signaling pathwayNF-κB signaling pathwayRIG-I-like receptor signaling pathwaySystemic lupus erythematosus

Identifiers

PMID31673979
OpenAlexW2988606493

What OpenQuestion holds

Textmetadata
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.