Evidence map›Paper›PMID 30859350›Full record

ArticleClinical and experimental nephrology2019

Metabolitic profiling of amino acids in paraquat-induced acute kidney injury.

Xiuxian Wan, XinHua Li, Qiang Wang, Bin Zheng, Chunyu Zhou, Xin Kang, Dayong Hu, Hui Bao, Ai Peng

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical and experimental nephrology, 2019. 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
2.0field-weighted citation impact, top 15% 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, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Metabolic origin and significance of 3-methylglutaryl CoA.Clinica chimica acta; international journal of clinical chemistry · 2025
    Review
  4. 3-Methylglutarylcarnitine: A biomarker of mitochondrial dysfunction.Clinica chimica acta; international journal of clinical chemistry · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
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

9 authors at 2 institutions in 1 country.

Xiuxian WanDepartment of Nephrology and Rheumatology, Affiliated Shanghai Tenth Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu Province, China.
XinHua LiCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China.
Qiang WangCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China.
Bin ZhengDepartment of Nephrology, Lianyungang Oriental Hospital, Lianyungang, Jiangsu Province, China.
Chunyu ZhouCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China.
Xin KangCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China.
Dayong HuCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China.
Hui BaoCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China.
Ai PengDepartment of Nephrology and Rheumatology, Affiliated Shanghai Tenth Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu Province, China. pengai@tongji.edu.cn.ORCID http://orcid.org/0000-0001-5612-5142
Tongji University · CNLianyungang Oriental Hospital · CN

Funding

National Natural Science Foundation of China 81671897National Natural Science Foundation of China No: 81500508National Natural Science Foundation of China (CN) 81270136Shanghai international cooperation program No: 16410724200Shanghai Pujiang Program No: 15PJ1406800
6 · The paper itself

Abstract

backgroundThe herbicide paraquat (1, 1'-dimethyl-4, 4'-bipyridylium dichloride; PQ) is a poison well-known to cause delayed mortality due to acute kidney injuries (AKI). This study examines the changes in serum amino acids (AAs) metabolite profiles as surrogate markers of renal cell metabolism and function after paraquat poisoning.

methodsTo identify the metabolic profiling of free serum AAs and its metabolites, serum from 40 paraquat-poisoned patients with or without AKI is collected. LC-MS/GC-MS is performed to analyze AA molecules. A Cox proportional hazard model was used to assess for incidence of AKI. Receiver operating characteristic (ROC) curve is applied to evaluate AKI occurrence and prognosis.

resultsA total of 102 serum AAs and its metabolites were identified. Compared with non-AKI patients, 37 varied significantly in AKI patients. The univariate Cox proportional hazard model analysis revealed that the estimated PQ amount, plasma PQ concentration, urine PQ concentration, APACHE, SOFA scores and 16 amino acids correlated with the incidence of AKI. Further analyses revealed that 3-methylglutarylcarnitine, 1-methylimidazoleacetate, and urea showed higher cumulative hazard ratios for the occurrence of AKI during follow-up (P < 0.05). The area under the curve (AUC) of 3-methylglutarylcarnitine, 1-methylimidazoleacetate and urea were 0.917, 0.857, 0.872, respectively.

conclusion3-methylglutarylcarnitine, 1-methylimidazoleacetate and urea were associated with AKI in patients with paraquat intoxication.

Indexed as

Acute Kidney InjuryAdultAmino AcidsArea Under CurveBiomarkersCarnitineCase-Control StudiesFemaleGlutaratesHerbicidesHumansImidazolesMaleMetabolomeMiddle AgedParaquat3-methylglutarylcarnitineAmino AcidsBiomarkersCarnitineGlutaratesHerbicidesImidazolesmethylimidazoleacetic acidParaquatUreaAcute kidney injuryAmino acidsMetabolic pathwayParaquatPoisoning

Identifiers

PMID30859350
OpenAlexW2922495302

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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.