Evidence map›Paper›PMID 24489966›Full record

ArticlePloS one2014

Serum CXCL16 as a novel marker of renal injury in type 2 diabetes mellitus.

Leping Zhao, Fan Wu, Leigang Jin, Tingting Lu, Lihui Yang, Xuebo Pan, Chuanfeng Shao, Xiaokun Li, Zhuofeng Lin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Chemokines in Gestational Diabetes Mellitus.Frontiers in immunology · 2022
    Pooled it
  2. Review
  3. Review
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  8. Review
  9. Cxcr6-Based Mesenchymal Stem Cell Gene Therapy Potentiates Skin Regeneration in Murine Diabetic Wounds.Molecular therapy : the journal of the American Society of Gene Therapy · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Diabetes-associated dysregulated cytokines and cancer.Integrative cancer science and therapeutics · 2016
    Article
  16. Review
  17. Article
  18. Roles of pattern recognition receptors in diabetic nephropathy.Journal of Zhejiang University. Science. B
    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

9 authors at 2 institutions in 1 country.

Leping ZhaoThe affiliated Yueqing Hospital of Wenzhou Medical University, Wenzhou Zhejiang, China.
Fan WuEngineering Research Center of Bioreactor and Pharmaceutical Development, Ministry of Education, Jilin Agricultural University, Changchun, Jilin, China.
Leigang JinSchool of Pharmacy, Wenzhou Medical University, Chashan College Park, Wenzhou Zhejiang, China.
Tingting LuSchool of Pharmacy, Wenzhou Medical University, Chashan College Park, Wenzhou Zhejiang, China.
Lihui YangThe affiliated Yueqing Hospital of Wenzhou Medical University, Wenzhou Zhejiang, China.
Xuebo PanSchool of Pharmacy, Wenzhou Medical University, Chashan College Park, Wenzhou Zhejiang, China.
Chuanfeng ShaoThe affiliated Yueqing Hospital of Wenzhou Medical University, Wenzhou Zhejiang, China.
Xiaokun LiSchool of Pharmacy, Wenzhou Medical University, Chashan College Park, Wenzhou Zhejiang, China.
Zhuofeng LinEngineering Research Center of Bioreactor and Pharmaceutical Development, Ministry of Education, Jilin Agricultural University, Changchun, Jilin, China ; School of Pharmacy, Wenzhou Medical University, Chashan College Park, Wenzhou Zhejiang, China.
Wenzhou Medical University · CNJilin Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoluble C-X-C chemokine ligand 16 (CXCL16), a scavenger receptor for oxidized low density lipoprotein, has been shown to promote atherogenic effects in vivo and to predict long-term mortality in acute coronary syndrome. The aim of this study was to explore the association of circulating CXCL16 levels with diabetic subjects with and without renal disease. METHODOLOGY/PRINCIPAL

findingsOne hundred twenty Chinese subjects, which included patients with type 2 diabetes mellitus (T2DM), diabetic nephropathy (DN), and CKD, as well as healthy controls, were enrolled in this study. Serum CXCL16 levels were examined by immunoassay and other clinical biochemical parameters were tested based on standard methods. Our results indicated that, HDL and LDL cholesterol levels are significantly different in DN but not in T2D patients in comparison with healthy subjects. On the other hand, Serum CXCL16 levels were significantly increased in DN subjects compared with age and gender matched healthy and T2DM subjects (p<0.05 respectively). However, no significant changes in serum CXCL16 levels were found between T2DM and healthy subjects. Furthermore, serum CXCL16 concentration negatively correlated with estimated glomerular filtrate rate, creatinine clearance rate and blood albumin, and positively with 24 h proteinuria, blood urea nitrogen (BUN), creatinine, and uric acid after adjusting for age, gender and BMI in subjects with DN. Multiple stepwise regression analyses indicated that serum CXCL16 levels were independently associated with serum 24 h proteinuria, and BUN (p<0.05 respectively).

conclusionSerum CXCL16 may be an indicator of renal injury in subjects with T2DM. Understanding the exact mechanism of elevated CXCL16 in subjects with DN requires further study.

Indexed as

BiomarkersBlood Urea NitrogenChemokine CXCL16Chemokines, CXCCreatinineDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleHumansMaleMiddle AgedProteinuriaReceptors, ScavengerRenal Insufficiency, ChronicBiomarkersChemokine CXCL16Chemokines, CXCCreatinineCXCL16 protein, humanReceptors, Scavenger

Identifiers

PMID24489966
PMCPMC3906379
OpenAlexW2148511893

What OpenQuestion holds

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LicenceCC BY
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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.