| Literature DB >> 32355184 |
Huimin Qian1, Siyun Cheng2, Guoye Liu2, Zhongming Tan1, Chen Dong1, Jinfeng Bao2, Jie Hong1, Dazhi Jin3,4, Changjun Bao5, Bing Gu6,7.
Abstract
OBJECTIVE: To investigate the prevalence of Salmonella Typhi and Paratyphi resistance to quinolones and characterize the underlying mechanism in Jiangsu Province of China.Entities:
Mesh:
Substances:
Year: 2020 PMID: 32355184 PMCID: PMC7193621 DOI: 10.1038/s41598-020-64346-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Primers for PCR detection of antimicrobial resistance determinants.
| Target | Primer sequence (5′–3′) | Annealing temperature (°C) | Amplicon size (bp) |
|---|---|---|---|
| TCT CCG AGA TGG CCT GAA GC | 55 | 347 | |
| TGC CGT CAT AGT TAT CCA CG | |||
| CAA ACT GGC GGA CTG TCA GG | 55 | 345 | |
| TTC CGG CAT CTG ACG ATA GA | |||
| CTA TGC GAT GTC AGA GCT GC | 55 | 275 | |
| TGA CCG AGT TCG CTT AAC AG | |||
| GAC CGA GCT GTT CCT TGT GG | 60 | 492 | |
| GCG TAA CTG CAT CGG GTT CA | |||
| GAG GAT TTC TCA CGC CAG GA | 60 | 575 | |
| TGC CAG GCA CAG ATC TTG AC | |||
| GAT CGT GAA AGC CAG AAA GG | 55 | 468 | |
| ACG ATG CCT GGT AGT TGT CC | |||
| GTT GGC GAA AAA ATT GAC AGA A | 57 | 451 | |
| TTT GCA AGG CGT CAA ACT GG | |||
| GGG TTG TAC ATT TAT TGA ATC | 47 | 446 | |
| TCC ACT TTA CGA GGT TCT | |||
| CGA GAT CAA TTT ACG GGG AAT A | 60 | 581 | |
| AAC AAG CTG AAG CGC CTG | |||
| GGA AAC CTA CAA TCA TAC ATA TCG GC | 55 | 530 | |
| TAA ATT GGC ACC CTG TAG GC | |||
| ATG GAA ACC TAC CGT CAC AC | 55 | 638 | |
| ATA CCC AAC GCT TCG AGA AG | |||
| GCA ACG CAA AAA CAA AGT TAG G | 47 | 560 | |
| GTG TTT GAA CCA TGT ACA | |||
| GCA GGT CCA GCA GCG GGT AG | 63 | 217 | |
| CTT CCT GCC CGA GTA TCG TG | |||
Figure 1Distribution of Salmonella enterica serovar Typhi and Salmonella enterica serovar Paratyphi (A–C) isolates in patients by (A) number (B) gender (C) age and(D) months (2013–2017) in Jiangsu, China.
Antimicrobial sensitivity patterns of S. Typhi and S. Paratyphi A, B and C isolates in Jiangsu Province, China, between 2013 and 2017.
| Antimicrobial agents | Aggregate (%) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| I | R | I | R | I | R | I | R | I | R | |
| Nalidixic acid | 3(1.8) | 94(57.3) | 1(2.3) | 25(56.8) | 2(6.8) | 9(30.0) | 0 | 0 | 6(2.5) | 128(53.6) |
| Ciprofloxacin | 58(35.4) | 4(2.4) | 5(11.4) | 6(13.6) | 2(6.8) | 1(3.3) | 1(100) | 0 | 66(27.6) | 11(4.6) |
| Ceftofur | 2(1.2) | 10(6.1) | 0 | 1(2.3) | 0 | 11(36.7) | 0 | 1(100) | 2(0.8) | 23(9.7) |
| Cefotaxime | 0 | 2(1.2) | 0 | 0 | 1(3.3) | 7(23.3) | 0 | 0 | 1(0.4) | 9(3.8) |
| Ceftazidime | 1(0.6) | 2(1.2) | 0 | 1(2.3) | 1(3.3) | 7(23.3) | 0 | 0 | 3(1.3) | 9(3.8) |
| Ceftriaxone | 1(0.6) | 3(1.8) | 0 | 0 | 0 | 7(23.3) | 0 | 0 | 1(0.4) | 10(4.2) |
| Ampicillin | 0 | 16(9.8) | 0 | 2(4.7) | 0 | 11(36.7) | 0 | 1(100) | 0 | 30(12.6) |
| Amoxicillin-clavulanic acid | 3(1.8) | 3(1.8) | 0 | 2(4.7) | 0 | 11(36.7) | 0 | 0 | 5(2.1) | 16(6.7) |
| Gentamicin | 1(0.6) | 2(1.2) | 0 | 0 | 1(3.3) | 5(16.7) | 0 | 0 | 2(0.8) | 7(2.9) |
| Tetracycline | 2(1.2) | 5(3.0) | 2(4.7) | 2(4.7) | 0 | 15(50.0) | 0 | 1(100) | 4(1.7) | 23(9.6) |
| Sulfamethoxazole | 0 | 2(1.2) | 2(4.7) | 1(2.3) | 0 | 12(40.0) | 0 | 1(100) | 2(0.8) | 16(6.7) |
R- Resistant, I- Intermediate.
Figure 2Number of different cases of major mutations among Salmonella enterica serovar Typhi and Salmonella enterica serovar Paratyphi isolates.
Combinations of quinolone phenotypes and genotypes identified in Salmonella Typhi and Salmonella Paratyphi A and B in Jiangsu, China between 2013 and 2017.
| Phenotypic profile | Genetic resistance determinant | |||
|---|---|---|---|---|
| NAL | CIP | |||
| R | S | WT (8) | WT (2) | WT (0) |
| Total | 43 | 16 | 7 | |
| R | I | WT (15) | WT (1) | WT (0) |
| Total | 47 | 3 | 2 | |
| R | R | WT (1) | WT (1) | WT (0) |
| Total | 4 | 6 | 0 | |
NAL, nalidixic acid; CIP, ciprofloxacin; R – Resistant; I – Intermediate; S – Susceptible; WT – Wild Type.