Evidence map›Paper›PMID 26496315›Full record

Observational studyMedicine2015

Urinary Cyclophilin A as a New Marker for Diabetic Nephropathy: A Cross-Sectional Analysis of Diabetes Mellitus.

Shang-Feng Tsai, Chien-Wei Su, Ming-Ju Wu, Cheng-Hsu Chen, Chia-Po Fu, Chin-San Liu, Mingli Hsieh

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Cyclophilin A (CyPA) as a Novel Biomarker for Early Detection of Diabetic Nephropathy in an Animal Model.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
  10. Article
  11. Article
  12. 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

7 authors at 2 institutions in 2 countries.

Shang-Feng TsaiFrom the Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital (S-FT, M-JW, C-HC); School of Medicine, China Medical University (S-FT, C-HC); Department of Life Science, Tunghai University (S-FT, C-WS, C-HC, MH); School of Medicine, Chung Shan Medical University (M-JW, C-HC); Division of Endocrinology and Metabolism, Department of Medicine, Taichung Veterans General Hospital, Taichung (C-PF); Vascular and Genomic Research Center, Changhua Christian Hospital, Changhua (C-SL); and Life Science Research Center, Tunghai University, Taichung, Taiwan R.O.C. (MH).
Chien-Wei Su
Ming-Ju Wu
Cheng-Hsu Chen
Chia-Po Fu
Chin-San Liu
Mingli Hsieh
SwissLitho (Switzerland) · CHChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (DM) is the most common single cause of end-stage renal disease. Albuminuria is the most commonly used marker to predict onset of diabetic nephropathy (DN) without enough sensitivity and specificity to detect early DN. This is the first study to identify urinary cyclophilin A (CypA) as a new biomarker for early DN.We recruited DM outpatients and healthy control subjects from January 2014 to December 2014. In this cross-sectional study, patients' urine samples were collected to determine the expression of urinary CypA. We also treated mesangial (MES-13) and tubular (HK-2) cells with glucose or free radicals to observe the expression of secreted CypA in Western blot analysis.A total of 100 DN patients and 20 healthy control subjects were enrolled. All variables were matched. In univariate analysis, the concentration of urinary CypA correlated well with the progression of renal function. A significant increase in urinary CypA was noted in stage 2 DN and persisted in later stages. We could diagnose stage 2 DN using urinary CypA with a sensitivity of 90.0% and specificity of 72.7%. The area under curve was up to 0.85, indicating a good discriminatory power. In cellular models, MES-13 and HK-2 cells can both release CypA.Urinary CypA is a good biomarker for early DN detection in humans and it can be released from either mesangial or tubular cells. The underlying molecular mechanisms still need further clarification in cellular and animal studies.

Indexed as

AdultBiomarkersCross-Sectional StudiesCyclophilin ADiabetic NephropathiesFemaleHumansMaleMiddle AgedBiomarkersCyclophilin A

Identifiers

PMID26496315
PMCPMC4620809
OpenAlexW2190018020

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.