Evidence map›Paper›PMID 27103565›Full record

ArticleJournal of diabetes and its complications2016

Urine AQP5 is a potential novel biomarker of diabetic nephropathy.

Yiyang Lu, Lihe Chen, Binhong Zhao, Zhou Xiao, Ting Meng, Qiaoling Zhou, Wenzheng Zhang

Abstract readValidation Study
In one paragraph

Article in Journal of diabetes and its complications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  6. Article
  7. Aquaporins in Renal Diseases.International journal of molecular sciences · 2019
    Review
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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 4 institutions in 2 countries.

Yiyang LuDepartment of Internal Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China. Electronic address: luy6@mail.uc.edu.
Lihe ChenEpithelial Systems Biology Laboratory, Systems Biology Center, NHLBI, Bethesda, MD 20892-1603, USA.
Binhong ZhaoDepartment of Pathology and Laboratory medicine, The University of Texas, Medical School at Houston, 6431 Fannin Street, Houston, TX 77030.
Zhou XiaoDepartment of Internal Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China.
Ting MengDepartment of Internal Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China.
Qiaoling ZhouDepartment of Internal Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China.
Wenzheng ZhangAlbany Medical College, MC-165, 47 New Scotland Avenue, Albany, New York 12208. Electronic address: zhangw1@mail.amc.edu.
Central South University · CNAlbany Medical Center Hospital · USCenter for Systems Biology · USThe University of Texas Health Science Center at Houston · US

Funding

Epigenic Control of ENaC Transcription and Sodium TransportR01DK080236 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHANG, WENZHENG · 2009 to 2016
$2.2M
A novel urinary biomarker of diabetic nephropathyR21DK104073 · NIDDK · ALBANY MEDICAL COLLEGE · PI ZHANG, WENZHENG · 2015 to 2016
$435k
NIDDK NIH HHS R01 DK080236NIDDK NIH HHS R21 DK104073
6 · The paper itself

Abstract

aimsTo investigate if urinary AQP5 serves as a new potential biomarker of diabetic nephropathy.

methodsUsing an AQP5-specific enzyme-linked immunosorbent assay, we measured serum and urine AQP5 first in a cohort consisting of normal controls (n=26) and patients with diabetes mellitus (n=25) or diabetic nephropathy (n=33) and then in a validation cohort possessing normal controls (n=10), patients with diabetes mellitus (n=10) or diabetic nephropathy (n=14), and patients with chronic kidney disease of unknown etiology (n=10). We used various statistical methods including Pearson's correlation coefficient, ANOVA with Holm-Sidak test, Receiver Operator Curve, and multiple logistic regression to analyze the data.

resultsUrine AQP5/creatinine 1) is significantly higher in diabetic nephropathy than in other two groups, and in diabetic nephropathy stage V than in stage III; 2) correlates with serum creatinine, urine albumin, and multiple other known risk factors of the disease; and 3) improves the clinical models in distinguishing diabetic nephropathy from normal controls and diabetic mellitus.

conclusionOur data suggest that urine AQP5/creatinine may possess diagnostic and prognostic values as a biomarker of diabetic nephropathy.

Indexed as

AgedAlgorithmsAquaporin 5BiomarkersCohort StudiesCreatinineDiabetes Mellitus, Type 2Diabetic NephropathiesEnzyme-Linked Immunosorbent AssayGlycated HemoglobinHumansMaleMiddle AgedPilot ProjectsPrognosisRenal InsufficiencyAQP5 protein, humanAquaporin 5BiomarkersCreatinineGlycated Hemoglobinhemoglobin A1c protein, humanDiabetesGene expressionKidney biopsyUrinary biomarkerWater channels

Identifiers

PMID27103565
PMCPMC5715662
OpenAlexW2325576427

What OpenQuestion holds

Textmetadata
LicenceTDM
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.