Evidence map›Paper›PMID 37393341›Full record

ArticleArthritis research & therapy2023

Renal interferon-inducible protein 16 expression is associated with disease activity and prognosis in lupus nephritis.

Xueyao Wang, Shaojie Fu, Jinyu Yu, Fuzhe Ma, Lihong Zhang, Jiahui Wang, Luyu Wang, Yue Tan, Huanfa Yi, Hao Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Biomarkers for systemic lupus erythematosus: A scoping review.Immunity, inflammation and disease · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Lupus Nephritis Risk Factors and Biomarkers: An Update.International journal of molecular sciences · 2023
    Review
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

11 authors at 3 institutions in 1 country.

Xueyao WangDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Shaojie FuDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Jinyu YuDepartment of Renal Pathology, The First Hospital of Jilin University, Changchun, China.
Fuzhe MaDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Lihong ZhangDepartment of Pathology, Basic Medical College of Jilin University, Changchun, China.
Jiahui WangDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Luyu WangDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Yue TanDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Huanfa YiCentral Laboratory, The First Hospital of Jilin University, Changchun, China.
Hao Wu *Department of Nephrology, The First Hospital of Jilin University, Changchun, China. wu_hao@jlu.edu.cn.
Zhonggao Xu *Department of Nephrology, The First Hospital of Jilin University, Changchun, China. zhonggao@jlu.edu.cn.
First Hospital of Jilin University · CNJilin University · CNJilin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLupus nephritis (LN) is one of the most severe complications of systemic lupus erythematosus (SLE). However, the current management of LN remains unsatisfactory due to sneaky symptoms during early stages and lack of reliable predictors of disease progression.

methodsBioinformatics and machine learning algorithms were initially used to explore the potential biomarkers for LN development. Identified biomarker expression was evaluated by immunohistochemistry (IHC) and multiplex immunofluorescence (IF) in 104 LN patients, 12 diabetic kidney disease (DKD) patients, 12 minimal change disease (MCD) patients, 12 IgA nephropathy (IgAN) patients and 14 normal controls (NC). The association of biomarker expression with clinicopathologic indices and prognosis was analyzed. Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were utilized to explore potential mechanisms.

resultsInterferon-inducible protein 16 (IFI16) was identified as a potential biomarker for LN. IFI16 was highly expressed in the kidneys of LN patients compared to those with MCD, DKD, IgAN or NC. IFI16 co-localized with certain renal and inflammatory cells. Glomerular IFI16 expression was correlated with pathological activity indices of LN, while tubulointerstitial IFI16 expression was correlated with pathological chronicity indices. Renal IFI16 expression was positively associated with systemic lupus erythematosus disease activity index (SLEDAI) and serum creatinine while negatively related to baseline eGFR and serum complement C3. Additionally, higher IFI16 expression was closely related to poorer prognosis of LN patients. GSEA and GSVA suggested that IFI16 expression was involved in adaptive immune-related processes of LN.

conclusionRenal IFI16 expression is a potential biomarker for disease activity and clinical prognosis in LN patients. Renal IFI16 levels may be used to shed light on predicting the renal response and develop precise therapy for LN.

Indexed as

Lupus Erythematosus, SystemicLupus NephritisHumansInterferonsKidneyPrognosisInterferonsBioinformaticsBiomarkerClinicopathologic significanceInterferon-inducible protein 16Lupus nephritis

Identifiers

PMID37393341
PMCPMC10314472
OpenAlexW4382797457

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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.