Evidence map›Paper›PMID 37736814›Full record

ArticleAmino acids2023

Metabolomic profiling of amino acids study reveals a distinct diagnostic model for diabetic kidney disease.

Jiao Wang, Chunyu Zhou, Qing Zhang, Zhangsuo Liu

Open access · hybridAbstract read
In one paragraph

Article in Amino acids, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  9. Understanding Renal Tubular Function: Key Mechanisms, Clinical Relevance, and Comprehensive Urine Assessment.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
    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.

Jiao WangDepartment of Geriatric Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.
Chunyu ZhouResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450000, China.
Qing ZhangResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450000, China. aquamarine61@163.com.
Zhangsuo LiuResearch Institute of Nephrology, Zhengzhou University, Zhengzhou, 450000, China. zhangsuoliu@zzu.edu.cn.
First Affiliated Hospital of Zhengzhou University · CNHenan Provincial Center for Disease Control and Prevention · CNZhengzhou University · CN

Funding

Henan Medical Science and Technique Foundation SBGJ202103080Henan Medical Science and Technology Research Program Joint Construction Project LHGJ20200290Henan Medical Science and Technology Research Program Joint Construction Project LHGJ20200328Natural Science Foundation of Henan Province 222300420343Natural Science Foundation of Henan Province 222300420345
6 · The paper itself

Abstract

Diabetic kidney disease (DKD), a highly prevalent complication of diabetes mellitus, is a major cause of mortality in patients. However, identifying circulatory markers to diagnose DKD requires a thorough understanding of the metabolic mechanisms of DKD. In this study, we performed ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) to reveal altered metabolic profiles of amino acids (AAs) in patients with DKD. We found decreased plasma levels of histidine and valine, increased urine levels of proline, decreased urine levels of histidine and valine, and increased saliva levels of arginine in patients with DKD compared with the levels in patients with type 2 diabetes mellitus (T2DM) and in healthy controls. Our analyses of the key metabolites and metabolic enzymes involved in histidine and valine metabolism indicated that the AAs level alterations may be due to enhanced carnosine hydrolysis, decreased degradation of homocarnosine and anserine, enhanced histidine methylation, and systemic enhancement of valine metabolism in patients with DKD. Notably, we generated a distinct diagnostic model with an AUC of 0.957 and an accuracy up to 92.2% on the basis of the AA profiles in plasma, urine and saliva differing in patients with DKD using logistic regression and receiver operating characteristic analyses. In conclusion, our results suggest that altered AA metabolic profiles are associated with the progression of DKD. Our DKD diagnostic model on the basis of AA levels in plasma, urine, and saliva may provide a theoretical basis for innovative strategies to diagnose DKD that may replace cumbersome kidney biopsies.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesAminesAmino AcidsChromatography, LiquidHistidineHumansTandem Mass SpectrometryValineAminesAmino AcidsHistidineValineAmino acidsDiabetic kidney diseaseDiagnostic modelLC–MS/MSMetabolomics

Identifiers

PMID37736814
PMCPMC10689543
OpenAlexW4386945540

What OpenQuestion holds

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LicenceCC BY
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.