Evidence map›Paper›PMID 31166908›Full record

ArticleParasite (Paris, France)2019

Identification of newly developed advanced schistosomiasis with MALDI-TOF mass spectrometry and ClinProTools analysis.

Yuzheng Huang, Yongliang Xu, Yi Huang, Fang Sun, Haisong Tian, Nannan Hu, Liang Shi, Haiyong Hua

Abstract read
In one paragraph

Article in Parasite (Paris, France), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Accurately IdentifyingDiagnostics (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Rapid Peak Alignment for MALDI-TOF Lipid Analysis.Journal of bioanalytical methods and techniques · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. 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

8 authors.

Yuzheng HuangNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu Province, PR China - Public Health Research Center, Jiangnan University, Wuxi, 214122 Jiangsu Province, PR China.
Yongliang XuNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu Province, PR China - Public Health Research Center, Jiangnan University, Wuxi, 214122 Jiangsu Province, PR China.
Yi HuangNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu Province, PR China - Public Health Research Center, Jiangnan University, Wuxi, 214122 Jiangsu Province, PR China.
Fang SunNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu Province, PR China - Public Health Research Center, Jiangnan University, Wuxi, 214122 Jiangsu Province, PR China.
Haisong TianNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu Province, PR China - Public Health Research Center, Jiangnan University, Wuxi, 214122 Jiangsu Province, PR China.
Nannan HuNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu Province, PR China - Public Health Research Center, Jiangnan University, Wuxi, 214122 Jiangsu Province, PR China.
Liang ShiNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu Province, PR China - Public Health Research Center, Jiangnan University, Wuxi, 214122 Jiangsu Province, PR China.
Haiyong HuaNational Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, 214064 Jiangsu Province, PR China - Public Health Research Center, Jiangnan University, Wuxi, 214122 Jiangsu Province, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cases of newly developed advanced schistosomiasis (NDAS) have occurred in areas where schistosomiasis transmission has been blocked for more than 25 years. The causes and pathogenesis of NDAS are still unknown. Diagnosis of NDAS relies on historical investigation and clinical symptoms, such as liver fibrosis, hepatic ascites and abnormal biochemical indexes in serum. It is important but difficult at this stage to develop a new tool for early screening and rapid diagnosis. In this study, serum peptides from thirty patients with NDAS and thirty healthy controls were captured with weak cation exchange magnetic beads, and subjected to MALDI-TOF mass spectrometry and ClinProTools analysis. Eleven peaks with m/z 924, 2661, 2953, 2991, 3241, 3884, 5337, 5905, 5943, 7766 and 9289 were decreased and three peaks with m/z 1945, 2082 and 4282 were increased in the NDAS group. The proteomic detection pattern (PDP) was established with 14 different peptide peaks, and its sensitivity and specificity were investigated with a blind test. The peptide mass fingerprints of sera from 50 NDAS patients and 100 healthy controls were double-blind subjected to the PDP method, and 50 patients and 92 healthy controls were classified as NDAS and healthy separately, which showed 100% sensitivity and 92% specificity. Our results showed that the PDP could be a new and useful method to detect NDAS.

Indexed as

AgedDouble-Blind MethodFemalegamma-GlutamyltransferaseHumansHyaluronic AcidMaleMiddle AgedPeptidesProteomicsReproducibility of ResultsSchistosomiasisSensitivity and SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionizationgamma-GlutamyltransferaseHyaluronic AcidPeptides

Identifiers

PMID31166908
PMCPMC6550559

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.