Evidence map›Paper›PMID 30279519›Full record

ArticleScientific reports2018

Diagnostic value of plasma tryptophan and symmetric dimethylarginine levels for acute kidney injury among tacrolimus-treated kidney transplant patients by targeted metabolomics analysis.

Feng Zhang, Qinghua Wang, Tianyi Xia, Shangxi Fu, Xia Tao, Yan Wen, Shen'an Chan, Shouhong Gao, Xiaojuan Xiong, Wansheng Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  13. Polyphenols and Polysaccharides fromFoods (Basel, Switzerland) · 2022
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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 2 institutions in 1 country.

Feng ZhangDepartment of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, P. R. China.
Qinghua WangKey Laboratory of Jiangxi Province for Research on Active Ingredients in Natural Medicines, Bioengineering Research Institute, Yichun University, Yichun, 336000, P. R. China.
Tianyi XiaDepartment of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, P. R. China.
Shangxi FuDepartment of Organ Transplantation, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, P. R. China.
Xia TaoDepartment of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, P. R. China.
Yan WenDepartment of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, P. R. China.
Shen'an ChanAgilent Technology, Inc., Taipei, 10492, Taiwan, P. R. China.
Shouhong GaoDepartment of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, P. R. China.
Xiaojuan XiongKey Laboratory of Jiangxi Province for Research on Active Ingredients in Natural Medicines, Bioengineering Research Institute, Yichun University, Yichun, 336000, P. R. China. ycxxxj@163.com.
Wansheng ChenDepartment of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, P. R. China. chenws126@126.com.
Second Military Medical University · CNYichun University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few literatures have evaluated the exact role of metabolomics in the identification process of potential biomarkers for acute kidney injury among the patients receiving renal transplantation. On top of this, the success of metabolomics in biomarker translation seems to lie in the robust quantitative method. As such, a single-center retrospective observational study was conducted enrolling 42 patients underwent renal transplantation with/without acute kidney injury, as well as 24 healthy volunteers, in Shanghai Changzheng Hospital. Plasma amino acid metabolic patterns for the participants were investigated by targeted UHPLC-MS/MS metabolic profiling. The most significant changes of the explored metabolites were related to the disturbance of tryptophan metabolism and arginine metabolism. Abnormal circulating tryptophan and symmetric dimethylarginine were identified to be potential biomarkers of acute kidney injury, combination of which showed a higher area under receiver-operator curve value (AUC = 0.901), improved sensitivity (0.889) and specificity (0.831) compared with creatinine only. Overall, these results revealed that targeted metabolomics analysis would be a potent and promising strategy for identification and pre-validation of biomarkers of acute kidney injury in renal transplantation patients.

Indexed as

Kidney TransplantationAcute Kidney InjuryAdultAntidepressive Agents, Second-GenerationArginineChinaFemaleHumansImmunosuppressive AgentsMaleMetabolomicsMiddle AgedPlasmaRetrospective StudiesSensitivity and SpecificityTacrolimusAntidepressive Agents, Second-GenerationArginineImmunosuppressive Agentssymmetric dimethylarginineTacrolimusTryptophan

Identifiers

PMID30279519
PMCPMC6168546
OpenAlexW2892589648

What OpenQuestion holds

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LicenceCC BY
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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.