Evidence map›Paper›PMID 26149603›Full record

ArticleScientific reports2015

Metabonomic analysis of potential biomarkers and drug targets involved in diabetic nephropathy mice.

Tingting Wei, Liangcai Zhao, Jianmin Jia, Huanhuan Xia, Yao Du, Qiuting Lin, Xiaodong Lin, Xinjian Ye, Zhihan Yan, Hongchang Gao

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  9. A hybrid approach reveals the allosteric regulation of GTP cyclohydrolase I.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  16. Evidence-based complementary and alternative medicine : eCAM · 2019
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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

10 authors at 1 institution in 1 country.

Tingting WeiSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035 China.
Liangcai ZhaoSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035 China.
Jianmin JiaSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035 China.
Huanhuan XiaSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035 China.
Yao DuSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035 China.
Qiuting LinSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035 China.
Xiaodong LinSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035 China.
Xinjian YeRadiology Department of the Second Affiliated Hospital, Wenzhou Medical University, Wenzhou 325027, China.
Zhihan YanRadiology Department of the Second Affiliated Hospital, Wenzhou Medical University, Wenzhou 325027, China.
Hongchang GaoSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035 China.
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is one of the lethal manifestations of diabetic systemic microvascular disease. Elucidation of characteristic metabolic alterations during diabetic progression is critical to understand its pathogenesis and identify potential biomarkers and drug targets involved in the disease. In this study, (1)H nuclear magnetic resonance ((1)H NMR)-based metabonomics with correlative analysis was performed to study the characteristic metabolites, as well as the related pathways in urine and kidney samples of db/db diabetic mice, compared with age-matched wildtype mice. The time trajectory plot of db/db mice revealed alterations, in an age-dependent manner, in urinary metabolic profiles along with progression of renal damage and dysfunction. Age-dependent and correlated metabolite analysis identified that cis-aconitate and allantoin could serve as biomarkers for the diagnosis of DN. Further correlative analysis revealed that the enzymes dimethylarginine dimethylaminohydrolase (DDAH), guanosine triphosphate cyclohydrolase I (GTPCH I), and 3-hydroxy-3-methylglutaryl-CoA lyase (HMG-CoA lyase) were involved in dimethylamine metabolism, ketogenesis and GTP metabolism pathways, respectively, and could be potential therapeutic targets for DN. Our results highlight that metabonomic analysis can be used as a tool to identify potential biomarkers and novel therapeutic targets to gain a better understanding of the mechanisms underlying the initiation and progression of diseases.

Indexed as

Aconitic AcidAcyl Coenzyme AAllantoinAmidohydrolasesAnimalsBiomarkersDiabetic NephropathiesDiscriminant AnalysisFatty AcidsGuanosine TriphosphateKidneyMaleMetabolomicsMethylaminesMiceMice, Inbred C57BL3-hydroxy-3-methylglutaryl-coenzyme AAconitic AcidAcyl Coenzyme AAllantoinAmidohydrolasesBiomarkersdimethylargininaseFatty AcidsGuanosine TriphosphatemethylamineMethylaminesReceptors, Leptin

Identifiers

PMID26149603
PMCPMC4493693
OpenAlexW786270880

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Registered trials

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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.