Evidence map›Paper›PMID 33123032›Full record

ArticleFrontiers in physiology2020

Urine Metabolomics Analysis in Patients With Normoalbuminuric Diabetic Kidney Disease.

Qian Feng, Yuanmeng Li, Yuwei Yang, Jiafu Feng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

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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

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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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Urinary metabolomics profile in children with ureteropelvic junction obstruction.Metabolomics : Official journal of the Metabolomic Society · 2026
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  10. Screening candidate diagnostic biomarkers for diabetic kidney disease.Journal of clinical laboratory analysis · 2024
    Article
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  13. CKD Urine Metabolomics: Modern Concepts and Approaches.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    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

4 authors at 3 institutions in 1 country.

Qian FengCollege of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yuanmeng LiDepartment of Medical Laboratory, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Yuwei YangDepartment of Clinical Laboratory, Mianyang Central Hospital, Mianyang, China.
Jiafu FengDepartment of Clinical Laboratory, Mianyang Central Hospital, Mianyang, China.
Mianyang Central Hospital · CNAffiliated Hospital of Southwest Medical University · CNChengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiabetic kidney disease (DKD) leads to low high albuminuria and gradually progresses to very high albuminuria with kidney insufficiency. However, about 20-40% of DKD is normoalbuminuric DKD (NADKD), which has impaired kidney function but normal urine albumin. This study is to investigate the urine metabolomic profiles of patients with NADKD and albuminuria DKD (ADKD).

methodsIn total, 95 patients were divided into a simple diabetes mellitus group (SDM group), an ADKD group, and a NADKD group. All subjects were analyzed for urine metabolites using non-targeted metabolomics based on ultra-performance liquid chromatography - tandem mass spectrometry.

resultsThe urine metabolomic profiles of the SDM group, NADKD group, and ADKD group were significantly different, and 65 different metabolites were identified among the three groups. Metabolic pathway analysis of these differential metabolites found that the top three significantly changed metabolic pathways were linoleic acid metabolism, citrate cycle, and, arginine and proline metabolism. There are 12 metabolites enriched in these three metabolic pathways. In detail, compared with those in the SDM group, the levels of γ-linolenic acid in the ADKD group were increased significantly, while the levels of succinic acid,

conclusionThe urine metabolomic profiles between the NADKD group and the ADKD group are significantly different. Specifically, these two groups have distinct levels of linoleic acid, γ-linolenic acid, L-malic acid, L-proline, L-erythro-4-hydroxyglutamate,

Indexed as

albuminuriadiabetes mellitusdiabetic kidney diseaseglomerular filtration ratemetabolomics

Identifiers

PMID33123032
PMCPMC7573362
OpenAlexW3092307004

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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.