Two recently commercialized enzyme-linked immunosorbent assay kits, the SRSV(II)-AD (Denka Seiken Co. Ltd., Tokyo, Japan) and IDEIA NLV (DakoCytomation Ltd., Ely, United Kingdom) kits, that detect human norovirus (HuNV) antigens in stool samples were evaluated to assess whether they could be used instead of reverse transcription-PCR (RT-PCR) for routine diagnosis. The sensitivities and specificities of the two kits were tested with a panel of 103 stool samples containing HuNVs of 4 and 10 genetic subgroups within genogroups I and II (GI and GII), respectively, and 39 stool samples containing other enteric viruses. The Denka kit had a high sensitivity (>70% for 10 of the 14 subgroups) but a specificity of only 69%, and the Dako kit had a low sensitivity (<30% for 6 GII subgroups) but a high specificity of 100%. Statistical analysis suggests that HuNVs of four subgroups (subgroups GII/2, GII/5, GII/6, and GII/n) are likely to elude detection by the Dako kit. The two kits also demonstrated differences in reactivities. While the Dako kit discriminated between the GI and GII antigens of HuNVs, the Denka kit cross-reacted with samples containing all GI and GII subgroups of HuNVs. Moreover, the Denka kit also reacted with samples containing human sapovirus (HuSV). We demonstrate that the cross-reactivity of the Denka kit is not due to specific reactions with HuNV and HuSV antigens. These results indicate that neither the Denka kit nor the Dako kit has all the performance characteristics required to replace the RT-PCR methods used to detect HuNVs.
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http://dx.doi.org/10.1128/JCM.42.6.2587-2595.2004 | DOI Listing |
Parasitol Res
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College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, P.R. China.
Swine coccidiosis is a host-specific protozoan disease caused by Cystoisospora suis and various Eimeria species, leading to diarrhea or subclinical signs in pigs. In this study, 3296 fecal samples from 55 farms across six provinces in China were collected and examined to determine the prevalence and molecular characteristics of swine coccidia. The single oocyst isolation technique (SOIT) and molecular characterization identified nine coccidian species, with an overall infection prevalence of 13.
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Iraktânia Vitorino Diniz, MSc, RN, Doctoral Student in Nursing at the Federal University of Paraiba, Campus I - Lot. City Universitaria, João Pessoa, Paraíba 58051-900, Brazil.
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Design: Single group before-and-after study.
Subjects And Setting: The study sample comprised 19 people with a colostomy who attended an outpatient clinic João Pessoa, in Paraiba, Brazil.
Front Public Health
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Center for Food Animal Health, The Ohio State University, Columbus, OH, United States.
Introduction: Enteric pathogens are a leading causes of diarrheal deaths in low-and middle-income countries. The Exposure Assessment of Infections in Rural Ethiopia (EXCAM) project, aims to identify potential sources of bacteria in the genus and, more generally, fecal contamination of infants during the first 1.5 years of life using as indicator.
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Clinic of Gastroenterology, Nephro-Urology, and Surgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Introduction: The current understanding of colorectal carcinogenesis is based on the adenoma-carcinoma sequence, where genetics, intestinal microbiota changes and local immunity shifts seem to play the key roles. Despite the emerging evidence of dysbiotic intestinal state and immune-cell infiltration changes in patients with colorectal adenocarcinoma, early and advanced adenoma as precursors of colorectal cancer, and carcinoma as the following progression, are rather less studied. The newly colon-site adapted AI-based analysis of immune infiltrates is able to predict long-term outcomes of colon carcinoma.
View Article and Find Full Text PDFHeliyon
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Laboratorio de Investigación de Aguas, Universidad Nacional del Centro del Perú, Av. Mariscal Castilla N° 3989-4089, Huancayo, Peru.
Introduction: Contamination of drinking water by can cause serious diseases, including cancer. The determinants of the infection rate are socioeconomic status, low standard of living and overcrowding. In addition, exposure to environmental sources contaminated with feces, such as water and vegetables, is another risk factor for infection.
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