Evidence map›Paper›PMID 24696276›Full record

ArticleParasitology research2014

Identification and characterization of an asparaginyl endopeptidase from Angiostrongylus cantonensis.

Shih-Hsin Chang, Kuang-Yao Chen, Lian-Chen Wang

Abstract read
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In one paragraph

Article in Parasitology research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Pathogens (Basel, Switzerland) · 2024
    Article
  2. 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

3 authors at 1 institution in 1 country.

Shih-Hsin ChangGraduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Tao-yuan, 333, Taiwan.
Kuang-Yao Chen
Lian-Chen Wang
Chang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asparaginyl endopeptidase, also known as legumain, is a family of cysteine proteases in many organisms. In this study, an asparaginyl endopeptidase (Ac-AEP) was identified from the cDNA library of Angiostrongylus cantonensis. The full-length of Ac-AEP was determined to be 1,472 bp with an open reading frame of 1,341 bp encoding a putative protein with 446 amino acids. This putative protein was determined to have 37-65% identity in the amino acid sequences of the asparaginyl endopeptidases of other parasitic helminths. By real-time quantitative PCR analysis, Ac-AEP was revealed to be more abundantly expressed in the female adult worms than in other development stages. A recombinant asparaginyl endopeptidase (rAc-AEP) was then produced by a Pichia pastoris expression system. Posttranslational modification was shown to occur via N-linked glycosylation in this recombinant enzyme. The proteolytic activity of rAc-AEP was inhibited by iodoacetamide but not affected by E64, pepatain A, AEBSF, and EDTA. Moreover, the purified rAc-AEP was recognized by IgG in serum samples from BALB/c or ICR mice with A. cantonensis infection and patients with eosinophilic meningitis. These findings indicate that the rAc-AEP may have the potential for detecting A. cantonensis infection.

Indexed as

Amino Acid SequenceAngiostrongylus cantonensisAnimalsAntibodies, HelminthAntibody SpecificityAsparaginyl EndopeptidaseBase CompositionCloning, MolecularCysteine EndopeptidasesFemaleGene Expression Regulation, EnzymologicGene LibraryHumansImmunoglobulin GMiceMice, Inbred BALB CAntibodies, HelminthAsparaginyl EndopeptidaseCysteine EndopeptidasesImmunoglobulin G

Identifiers

PMID24696276
OpenAlexW2160327535

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.