1.Cryptosporidium Oocyst Detection in Water Samples: Floatation Technique Enhanced with Immunofluorescence Is as Effective as Immunomagnetic Separation Method.
Khuanchai KOOMPAPONG ; Chantira SUTTHIKORNCHAI ; Yowalark SUKTHANA
The Korean Journal of Parasitology 2009;47(4):353-357
Cryptosporidium can cause gastrointestinal diseases worldwide, consequently posing public health problems and economic burden. Effective techniques for detecting contaminated oocysts in water are important to prevent and control the contamination. Immunomagnetic separation (IMS) method has been widely employed recently due to its efficiency, but, it is costly. Sucrose floatation technique is generally used for separating organisms by using their different specific gravity. It is effective and cheap but time consuming as well as requiring highly skilled personnel. Water turbidity and parasite load in water sample are additional factors affecting to the recovery rate of those 2 methods. We compared the efficiency of IMS and sucrose floatation methods to recover the spiked Cryptosporidium oocysts in various turbidity water samples. Cryptosporidium oocysts concentration at 1, 10(1), 10(2), and 10(3) per 10 microliter were spiked into 3 sets of 10 ml-water turbidity (5, 50, and 500 NTU). The recovery rate of the 2 methods was not different. Oocyst load at the concentration < 10(2) per 10 ml yielded unreliable results. Water turbidity at 500 NTU decreased the recovery rate of both techniques. The combination of sucrose floatation and immunofluorescense assay techniques (SF-FA) showed higher recovery rate than IMS and immunofluorescense assay (IMS-FA). We used this SF-FA to detect Cryptosporidium and Giardia from the river water samples and found 9 and 19 out of 30 (30% and 63.3%) positive, respectively. Our results favored sucrose floatation technique enhanced with immunofluorescense assay for detecting contaminated protozoa in water samples in general laboratories and in the real practical setting.
Animals
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Cryptosporidium/*isolation & purification
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Fluorescent Antibody Technique/*methods
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Immunomagnetic Separation/*methods
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*Oocysts
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Parasitology/*methods
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Sensitivity and Specificity
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Water/*parasitology
2.Subtype Distribution of Blastocystis in Thai-Myanmar Border, Thailand.
Supaluk POPRUK ; Ruenruetai UDONSOM ; Khuanchai KOOMPAPONG ; Aongart MAHITTIKORN ; Teera KUSOLSUK ; Jiraporn RUANGSITTICHAI ; Attakorn PALASUWAN
The Korean Journal of Parasitology 2015;53(1):13-19
Blastocystis sp. is a common zoonotic intestinal protozoa which has been classified into 17 subtypes (STs). A cross-sectional study was conducted to determine the prevalence and subtype distribution of Blastocystis in villagers living on the Thai-Myanmar border, where the risk of parasitic infection is high. A total of 207 stool samples were collected and DNA was extracted. PCR and sequencing using primers targeting small-subunit ribosomal RNA (SSU rRNA) gene were performed. The prevalence of Blastocystis infection was 37.2% (77/207). ST3 (19.8%; 41/207) was the predominant subtype, followed by ST1 (11.6%; 24/207), ST2 (5.3%; 11/207), and ST4 (0.5%; 1/207). A phylogenetic tree was reconstructed using the maximum likelihood (ML) method based on the Hasegawa-Kishino-Yano + G + I model. The percentage of bootstrapped trees in which the associated taxa clustered together was relatively high. Some sequences of Blastocystis positive samples (TK18, 39, 46, 71, and 90) were closely related to animals (pig and cattle) indicating zoonotic risks. Therefore, proper health education in parasitic prevention for the villagers should be promoted to improve their personal hygiene. Further longitudinal studies are required to monitor the prevalence of parasitic infections after providing health education and to investigate Blastocystis ST in animals living in these villages.
Adult
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Aged
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Animals
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Blastocystis/*classification/immunology/*isolation & purification
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Blastocystis Infections/*parasitology
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Cluster Analysis
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Cross-Sectional Studies
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DNA, Protozoan/chemistry/genetics
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DNA, Ribosomal/chemistry/genetics
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Female
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Humans
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Male
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Middle Aged
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Myanmar
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Phylogeny
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RNA, Ribosomal, 18S/genetics
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Rural Population
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Sequence Analysis, DNA
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Seroepidemiologic Studies
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*Serogroup
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Thailand
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Young Adult