Evidence map›Paper›PMID 18979120›Full record

ArticleParasitology research2009

Detection of Cryptosporidium spp. from human faeces by PCR-RFLP, cloning and sequencing.

Annalisa Leone, Giancarlo Ripabelli, Michela Lucia Sammarco, Guido Maria Grasso

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Parasitology research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 36% 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, 10 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
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

4 authors at 1 institution in 1 country.

Annalisa LeoneDepartment of Health Sciences, University of Molise, via de Sanctis, 86100, Campobasso, Italy.
Giancarlo Ripabelli
Michela Lucia Sammarco
Guido Maria Grasso
University of Molise · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we compared and validated a nested ABC polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) assay to amplify Cryptosporidium parvum oocyst wall protein (COWP) gene fragment with a previous nested PCR-RFLP method. When RFLP of COWP gene did not provide clear results, we further analysed samples by cloning and sequencing for species and genotype identification. ABC-PCR was performed on DNA extracted from human faecal samples collected in England where Cryptosporidium was previously detected by conventional methods. COWP gene amplification was successful for all specimens; RFLP analyses using both RsaI and AluI enzymes recognised 54/55 restriction profiles. Among these, 40 (72.7%) characteristic patterns were generated for C. parvum and six (10.9%) for Cryptosporidium hominis; four (7.3%) showed species mixtures, while the remaining four samples (7.3%) showed atypical genotypes. Cloning and sequencing of mixtures and atypical genotypes identified one C. parvum, one C. hominis and three Cryptosporidium meleagridis. Indeed, molecular tools improved PCR-RFLP results. In conclusion, this study showed that ABC-PCR-RFLP technique was quick, simple and specific. Cloning and sequencing were helpful in characterising mixtures or previously uncharacterised RFLP patterns. All these epidemiological findings are useful information for any preventive intervention to control disease diffusion.

Indexed as

Polymorphism, Restriction Fragment LengthAnimalsCloning, MolecularCryptosporidiosisCryptosporidiumDNA FingerprintingDNA, ProtozoanEnglandFecesGenotypeHumansPolymerase Chain ReactionProtozoan ProteinsSensitivity and SpecificitySequence Analysis, DNADNA, Protozoanoocyst wall protein, CryptosporidiumProtozoan Proteins

Identifiers

PMID18979120
OpenAlexW2017940890

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.