Evidence map›Paper›PMID 35540476›Full record

ArticleRSC advances2018

Identification of potential serum biomarkers of acute paraquat poisoning in humans using an iTRAQ quantitative proteomic.

Liming Wei, Yi Wang, Ling Lin, Lei Zhang, Yan Shi, Ping Xiang, Shujun Cao, Min Shen, Pengyuan Yang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Liming WeiInstitutes of Biomedical Sciences & Department of Chemistry, Fudan University Shanghai China pyyang@fudan.edu.cn.ORCID 0000-0003-1971-7004
Yi WangInstitutes of Biomedical Sciences & Department of Chemistry, Fudan University Shanghai China pyyang@fudan.edu.cn.
Ling LinInstitutes of Biomedical Sciences & Department of Chemistry, Fudan University Shanghai China pyyang@fudan.edu.cn.
Lei ZhangInstitutes of Biomedical Sciences & Department of Chemistry, Fudan University Shanghai China pyyang@fudan.edu.cn.
Yan ShiShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice Shanghai China shenm@ssfjd.cn.
Ping XiangShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice Shanghai China shenm@ssfjd.cn.
Shujun CaoShanghai Songjiang District Central Hospital Shanghai China shujun-cao@163.com.
Min ShenShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice Shanghai China shenm@ssfjd.cn.
Pengyuan YangInstitutes of Biomedical Sciences & Department of Chemistry, Fudan University Shanghai China pyyang@fudan.edu.cn.
Fudan University · CNInstitute of Forensic Science · CNSongjiang District Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paraquat (PQ) poisoning has high mortality rates in many countries. Due to it readily being absorbed through the gastrointestinal tract and rapidly excreted in the urine, few biomarkers possess satisfactory specificity and sensitivity in diagnostic and forensic practices. To investigate serum biomarkers in patients with PQ poisoning, pooled sera was analyzed using a proteomic approach based on iTRAQ coupled LC-MS/MS. Of the 413 proteins identified with high confidence, 81 were found to be differentially expressed (1.5-fold change) in the sera of patients with PQ poisoning. The differential expression pattern of 4 of these proteins was validated by enzyme-linked immunosorbent assay (ELISA) in clinical samples. A sera sample from a PQ poisoning patient has shown relatively increased abundance of S100A8 and S100A9. The overexpression of S100A8 and S100A9 was further validated in the lung tissue of PQ-treated rat associated with lung damage. Meanwhile, we identified another two down-expressed proteins, transferrin receptor protein 1 (TfR1) and serum amyloid P-component (SAP), which may be also practicable in human clinical samples as PQ poisoning serum biomarkers. Furthermore, receiver operating characteristic curve analysis confirmed that the expression levels of S100 alarmins, TfR1 and SAP in patient serum could provide a discriminatory diagnostic test for predicting PQ poisoning in patients. Therefore, our results suggest that increased serum levels of S100 alarmins and decreased serum levels of TfR1 and SAP may constitute potential biomarkers for the prediction of PQ poisoning in humans, and might be novel therapeutic targets in PQ poisoning.

Identifiers

PMID35540476
PMCPMC9078879
OpenAlexW2792738319

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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.