Evaluation of the Alexon-Trend ProSpecT
            <i>Campylobacter</i>
            Microplate Assay

Tolcin, Rita; LaSalvia, Margaret M.; Kirkley, Barbara A.; Vetter, Emily A.; Cockerill, Franklin R.; Procop, Gary W.

doi:10.1128/jcm.38.10.3853-3855.2000

Cited by 30 publications

(11 citation statements)

References 34 publications

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“…These results agree with those obtained by Tolcin et al. [9]. These workers showed no apparent difference between fresh and preserved stool specimens.…”

Section: Discussionsupporting

confidence: 93%

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Evaluation of the ProSpecT Microplate Assay for detection of Campylobacter: a routine laboratory perspective

Dediste

Vandenberg

Vlaes

et al. 2003

Clinical Microbiology and Infection

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“…These results agree with those obtained by Tolcin et al. [9]. These workers showed no apparent difference between fresh and preserved stool specimens.…”

Section: Discussionsupporting

confidence: 93%

“…Since the first evaluation, several studies have shown that the ProSpecT Campylobacter Microplate Assay is sensitive and specific for C. jejuni and C. coli , and that the limit of detection is 3 × 10 6 CFU/mL in fecal specimens [8–10].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the ProSpecT Microplate Assay for detection of Campylobacter: a routine laboratory perspective

Dediste

Vandenberg

Vlaes

et al. 2003

Clinical Microbiology and Infection

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show abstract

“…Hippurate-positive Campylobacter strains were characterized as Campylobacter jejuni and hippurate-negative isolates as other Campylobacter species. Campylobacter testing directly on fecal samples stored at −70°C was done using a broadly reactive genus-specific ProSpecT enzyme-linked immunosorbent assay (ELISA) [ 33 ]. Details of diagnostic assays for >40 other enteropathogens are described elsewhere [ 34 ].…”

Section: Methodsmentioning

confidence: 99%

Gut Microbiota Features Associated With Campylobacter Burden and Postnatal Linear Growth Deficits in a Peruvian Birth Cohort

Rouhani

Griffin

Yori

et al. 2019

Clinical Infectious Diseases

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Background Campylobacter infection is associated with impaired growth of children, even in the absence of symptoms. To examine the underlying mechanisms, we evaluated associations between Campylobacter infection, linear growth, and fecal microbial community features in a prospective birth cohort of 271 children with a high burden of diarrhea and stunting in the Amazonian lowlands of Peru. Methods Campylobacter was identified using a broadly reactive, genus-specific enzyme-linked immunosorbent assay. 16S rRNA-based analyses were used to identify bacterial taxa in fecal samples at ages 6, 12, 18, and 24 months (N = 928). Associations between infection, growth, and gut microbial community composition were investigated using multiple linear regression adjusting for within-child correlations, age, and breastfeeding. Indicator species analyses identified taxa specifically associated with Campylobacter burden. Results Ninety-three percent (251) of children had Campylobacter present in asymptomatic fecal samples during the follow-up period. A 10% increase in the proportion of stools infected was associated with mean reductions of 0.02 length-for-age z scores (LAZ) at 3, 6, and 9 months thereafter (P < .01). We identified 13 bacterial taxa indicative of cumulative Campylobacter burden and 14 taxa significantly associated with high or low burden of enteroaggregative Escherichia coli, norovirus, or Giardia. Conclusions Campylobacter infection is common in this cohort and associated with changes in microbial community composition. These results support the notion that disruptions to the fecal microbiota may help explain the observed effects of asymptomatic infections on growth in early life.

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“…Traditional methods for the detection of Shigella and Campylobacter species involve sample culture in selective media followed by a number of biochemical and serological tests. , However, such methods are extremely time-consuming and can take 3−4 days at best to give a result. A number of researchers have explored the use of the polymerase chain reaction (PCR), − enzyme-linked immunosorbent assays (ELISA), ,− or a combination of both − for detection of these bacteria and have improved detection time to between 2 h and 2 days, depending on the extent of sample enrichment required. A number of sample matrixes have been analyzed using these techniques, including poultry, environmental water, and stool samples.…”

mentioning

confidence: 99%

Detection of Campylobacter and Shigella Species in Food Samples Using an Array Biosensor

et al. 2003

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Campylobacter and Shigella bacteria are common causes of food- and water-borne illness worldwide. There is a current need in food, medical, environmental, and military markets for a rapid and user-friendly method of detecting such pathogens. The array biosensor developed at the NRL encompasses these qualities. In this study, 25-min, sandwich immunoassays were developed for the detection of Campylobacter and Shigella species in both buffer and a variety of food and beverage samples. The limit of detection for Shigella dysenteriae in buffer and chicken carcass wash was 4.9 x 10(4) cfu mL(-)(1), whereas Campylobacter jejuni could be measured at concentrations as low as 9.7 x 10(2) cfu mL(-)(1). The limits of detection and dynamic range were found to vary depending on the sample matrix, but could be improved by running the sample over the waveguide surface for longer periods of time. Samples were run with no preconcentration or enrichment steps and little-to-no sample pretreatment prior to analysis.

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Evaluation of the Alexon-Trend ProSpecT Campylobacter Microplate Assay

Cited by 30 publications

References 34 publications

Evaluation of the ProSpecT Microplate Assay for detection of Campylobacter: a routine laboratory perspective

Evaluation of the ProSpecT Microplate Assay for detection of Campylobacter: a routine laboratory perspective

Gut Microbiota Features Associated With Campylobacter Burden and Postnatal Linear Growth Deficits in a Peruvian Birth Cohort

Detection of Campylobacter and Shigella Species in Food Samples Using an Array Biosensor

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