Evidence map›Paper›PMID 25471902›Full record

ArticleParasitology research2015

Molecular characterization of Cryptosporidium and Giardia occurring in natural water bodies in Poland.

Małgorzata Adamska

Open access · hybridAbstract read
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Małgorzata AdamskaDepartment of Genetics, Szczecin University, Felczaka 3c, 71-412, Szczecin, Poland, adamska.us@wp.pl.
University of Szczecin · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptosporidium and Giardia protozoa are zoonotic parasites that cause human gastroenteritis and can be transmitted to human through the fecal-oral route and water or food. Several species belong to these genera and their resistant forms occur in water, but only some of them are infectious to human. Health risk depends on the occurrence of infectious Cryptosporidium and Giardia species and genotypes in water, and only molecular techniques allow detecting them, as well as enable to identify the contamination source. In this work, genotyping and phylogenetic analysis have been performed on the basis of 18S rDNA and ß-giardin genes sequences of Cryptosporidium and Giardia, respectively, in order to provide the molecular characterization of these parasites detected earlier in five natural water bodies in Poland and to track possible sources of their (oo)cysts in water. Genotyping revealed a high similarity (over 99 up to 100 %) of analyzed sequences to cattle genotype of C. parvum isolated from cattle and human and to G. intestinalis assemblage B isolated from human. The sequences obtained by others originated from patients with clinical symptoms of cryptosporidiosis or giardiasis and/or with the infection confirmed by different methods. The contamination of three examined lakes is probably human-originated, while the sources of contamination of two remaining lakes are wild and domestic animals. Obtained phylogenetic trees support suggestions of other authors that the bovine genotype of C. parvum should be a separate species, as well as A and B assemblages of G. intestinalis.

Indexed as

AnimalsBase SequenceCattleCryptosporidiosisCryptosporidiumDNA, ProtozoanDNA, RibosomalFecesGenotypeGiardiaGiardiasisHumansMolecular Sequence DataPhylogenyPolandSequence Analysis, DNADNA, ProtozoanDNA, RibosomalWater

Identifiers

PMID25471902
PMCPMC4303712
OpenAlexW2072905146

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.