| Literature DB >> 28649284 |
Piyali Mukherjee1, Shanta Dutta1, Asish K Mukhopadhyay1.
Abstract
BACKGROUND: Campylobacter is a well-known bacterial pathogen for triggering acute gastroenteritis in humans both in developed and developing countries. This organism is highly resistant to fluoroquinolones. Macrolides are very much useful for the treatment of campylobacteriosis when clinical therapy is necessary. However, increasing resistance to azithromycin, a potent macrolide has been reported in Campylobacter in recent years. Macrolide resistance in Campylobacter is found mainly due to point mutation in V region of 23S rRNA.Entities:
Keywords: Azithromycin resistance; Campylobacter; Campylobacteriosis; PCR assay
Year: 2017 PMID: 28649284 PMCID: PMC5480182 DOI: 10.1186/s13099-017-0186-9
Source DB: PubMed Journal: Gut Pathog ISSN: 1757-4749 Impact factor: 4.181
Sequence of the oligonucleotides used in the study
| Used for | Primer | Primer sequence (5′ to 3′) | Amplicon size (bp) | Reference |
|---|---|---|---|---|
| MAMA PCR | 23s rRNA-Campy-1912F | AGTAAACGGCGGCCGTAAC | This study | |
| 23s rRNA-Campy-2074 N-Rev | GTAAAGGTCCACGGGGTCATT | 183 | This study | |
| 23s rRNA-Campy-2075 R | GTAAAGGTCCACGGGGTCAC | 183 | This study | |
| Sequencing | F2-Campy-23S | AATTGATGGGGTTAGCATTAGC | 552 | 21 |
| 2420R-Campy-23S | AGAACCACCGGATCACTAAGA | 10 |
Fig. 1MAMA-PCR to detect the azithromycin resistant strains of Kolkata using primers 23s rRNA-Campy-1912F/23s rRNA-Campy-2075 R (a) and sensitive strains using primers 23s rRNA-Campy-1912F/23s-rRNA-Campy-2074 N-Rev (b) in representative Campylobacter strains of Kolkata. Lane 1 contains a 100-bp size ladder. Lanes 2 to 6 and 9—representative resistant strains. Lanes 7 and 8—sensitive strains
Comparative analysis of sensitivity and specificity of PCR assay and conventional antibiotic sensitivity test
| Conventional sensitivity test | Total | ||
|---|---|---|---|
| Resistant | Sensitive | ||
| PCR assay | |||
| Resistant | 24 | 0 | 24 |
| Sensitive | 0 | 335 | 335 |
| Total | 24 | 335 | 359 |
Sensitivity = 24/(0 + 24) × 100 = 100%
Specificity = 335/(0 + 335) × 100 = 100%
Positive predictive value = 24/(0 + 24) × 100 = 100%
Negative predictive value = 335/(0 + 335) × 100 = 100%