Evidence map›Paper›PMID 25532486›Full record

ArticleParasitology research2015

Serodiagnosis of sparganosis by ELISA using recombinant cysteine protease of Spirometra erinaceieuropaei spargana.

Li Na Liu, Xi Zhang, Peng Jiang, Ruo Dan Liu, Jian Zhou, Rui Zhe He, Jing Cui, Zhong Quan Wang

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Parasitology research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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.

Li Na LiuDepartment of Parasitology, Medical College, Zhengzhou University, 40 Daxue Road, Zhengzhou, 450052, People's Republic of China.
Xi Zhang
Peng Jiang
Ruo Dan Liu
Jian Zhou
Rui Zhe He
Jing Cui
Zhong Quan Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Spirometra erinaceieuropaei cysteine protease (SeCP) gene encoding a 36 kDa protein was expressed in Escherichia coli, and the potential of recombinant SeCP protein (rSeCP) as an antigen for the serodiagnosis of sparganosis was investigated by ELISA and compared with those of ELISA with sparganum excretory-secretory (ES) antigens. The sensitivity of rSeCP-ELISA and ES-ELISA was 96.67 % (29/30) and 100 % (30/30) respectively, for the detection of anti-sparganum IgG antibodies in sera of the experimentally infected mice (P > 0.05), and the specificities of both ELISA were 100 % (77/77). In heavily, moderately, and lightly infected mice (five, three, and one larvae per mouse), anti-sparganum antibodies were firstly detected by rSeCP-ELISA at 10-12 days post-infection (dpi), respectively, and then continued to increase with a detection rate of 100 % at 14-22 dpi. In three groups of infected mice, the anti-sparganum antibody levels at different times after infection were statistically different (P < 0.05). The results showed that the rSeCP might be a potential candidate antigen for early and specific serodiagnosis of sparganosis. But, it needs to be further evaluated with sera of the patients with sparganosis and other helminthiasis.

Indexed as

AnimalsAntibodies, HelminthAntigens, HelminthCysteine ProteasesEnzyme-Linked Immunosorbent AssayEscherichia coliFemaleImmunoglobulin GMiceMice, Inbred BALB CRecombinant ProteinsSensitivity and SpecificitySerologic TestsSparganosisSparganumSpirometraAntibodies, HelminthAntigens, HelminthCysteine ProteasesImmunoglobulin GRecombinant Proteins

Identifiers

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.