Evidence map›Paper›PMID 30367668›Full record

ArticleParasites & vectors2018

Molecular detection and genotyping of pathogenic protozoan parasites in raw and treated water samples from southwest Colombia.

Claudia Sánchez, Myriam Consuelo López, Luis Alejandro Galeano, Yvonne Qvarnstrom, Katelyn Houghton, Juan David Ramírez

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

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  14. Microbiological assessment of an urban lagoon system in the coastal zone of Rio de Janeiro, Brazil.Environmental science and pollution research international · 2021
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  16. International journal of environmental research and public health · 2019
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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

6 authors at 5 institutions in 2 countries.

Claudia SánchezGrupo de Investigación en Materiales Funcionales y Catálisis (GIMFC), Departamento de Química, Facultad de Ciencias Exactas y Naturales, Universidad de Nariño, 520002, Pasto, Colombia.
Myriam Consuelo LópezDepartamento de Salud Pública, Facultad de Medicina, Universidad Nacional de Colombia, 111321, Bogotá, Colombia.
Luis Alejandro GaleanoGrupo de Investigación en Materiales Funcionales y Catálisis (GIMFC), Departamento de Química, Facultad de Ciencias Exactas y Naturales, Universidad de Nariño, 520002, Pasto, Colombia.
Yvonne QvarnstromDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention (CDC), Atlanta, 30329, USA.
Katelyn HoughtonDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention (CDC), Atlanta, 30329, USA.
Juan David RamírezGrupo de Investigaciones Microbiológicas-UR (GIMUR), Programa de Biología, Facultad de Ciencias Naturales y Matemáticas, Universidad del Rosario, 110111, Bogotá, Colombia. juand.ramirez@urosario.edu.co.ORCID http://orcid.org/0000-0002-1344-9312
University of Nariño · COCenters for Disease Control and Prevention · USOak Ridge Associated Universities · USUniversidad del Rosario · COUniversidad Nacional de Colombia · CO

Funding

CEIBA FOUNDATION 2015DIRECCION DE INVESTIGACION E INNOVACION UNIVERSIDAD DEL ROSARIO 2018SISTEMA GENERAL DE REGALIAS DEPARTAMENTO DE NARIÑO AGUA POTABLE NARIÑO 2014000100020
6 · The paper itself

Abstract

backgroundProtozoan parasites such as Giardia duodenalis, Cryptosporidium spp., Cyclospora cayetanensis, Toxoplasma gondii and Entamoeba histolytica represent a great challenge to the systems producing water for human consumption because their cystic forms are persistent in the environment and resist to the disinfection methods conventionally used for their control. In this study, we investigated the presence of these protozoan pathogens in both raw and treated water samples used for the production of drinking water in Nariño Department, southwest Colombia. We collected 110 water samples (10 lof each sample) and analyzed them with real-time PCR (qPCR). qPCR-positive samples were genotyped with PCR and DNA sequencing.

resultsGiardia duodenalis was detected in 35/110 (31.8%) of the samples and Cryptosporidium spp. in 9/110 (8.2%) of the samples; no sample was positive for T. gondii, E. histolytica or C. cayetanensis. Giardia duodenalis was detected in samples of both raw water (Drinking Water Treatment Plants (DWTP): 47.83%;Drinking Water Rural Plants (DWRP): 18.42%) and water collected either after conventional physicochemical treatment (26.09%) or after disinfection by chlorine (50%), whereas Cryptosporidium spp. were only detected in raw waters (DWTP: 17.39%; DWRP: 13.16%). The two pathogens were detected in both types of treatment plants supplying water to urban areas and to rural zones. Analysis of gdh and tpi markers identified assemblages AI, AII and H of G. duodenalis, while analysis of the small subunit rRNA and gp60 markers of Cryptosporidium-positive samples identified C. parvum (Subtype IIcA5G3c), C. galli, C. molnari, Cryptosporidium sp. genotype II of bats and Cryptosporidium sp. genotype VIII of birds.

conclusionsThe results obtained demonstrate the presence of protozoan parasites in the water of the study region, and the need to improve the surveillance systems for these pathogens and identify the corresponding sources of contamination.

Indexed as

ColombiaCryptosporidiosisCyclosporaDrinking WaterGenotypeGiardia lambliaGiardiasisHumansToxoplasmaToxoplasmosisWater PurificationDrinking WaterPCRProtozoan parasitesRaw waterSequencing analysisTreated water

Identifiers

PMID30367668
PMCPMC6203992
OpenAlexW2898540093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.