| Literature DB >> 28194090 |
Linda Aurelia Andoh1,2, Shabana Ahmed1, John Elmerdahl Olsen1, Kwasi Obiri-Danso2, Mercy Jemima Newman3, Japheth Awuletey Opintan3, Lisa Barco4, Anders Dalsgaard1.
Abstract
BACKGROUND: Non-typhoidal Salmonella (NTS) is a public health problem worldwide and particularly in Africa with high disease burden. This study characterized Salmonella isolates from humans in Ghana to determine serovar distribution, phage types, and antimicrobial resistance. Further, the clonal relatedness among isolates was determined.Entities:
Keywords: Antibiotic resistance; Ghana; Phage types; Salmonella; Serotypes
Year: 2017 PMID: 28194090 PMCID: PMC5301370 DOI: 10.1186/s41182-017-0043-z
Source DB: PubMed Journal: Trop Med Health ISSN: 1348-8945
Salmonella Serovars isolated from human clinical and fecal sludge samples.
| Sample types | |||||
|---|---|---|---|---|---|
| Serovar | Stoola | Fecal sludgeb | Blooda | Blood/stoolc | No. of isolates (%) |
|
| 1 | 1 (0.7) | |||
|
| 1 | 1 | 2 (1.5) | ||
|
| 3 | 1 | 4 (2.9) | ||
|
| 12 | 12 (8.8) | |||
|
| 3 | 2 | 5 (3.7) | ||
|
| 1 | 1 (0.7) | |||
|
| 1 | 1 | 2 (1.5) | ||
|
| 1 | 1 (0.7) | |||
|
| 5 | 5 (3.7) | |||
|
| 1 | 1 (0.7) | |||
|
| 1 | 4 | 9 | 40 | 54 (39.4) |
|
| 1 | 1 (0.7) | |||
|
| 1 | 1 | 2 (1.5) | ||
|
| 1 | 1 (0.7) | |||
|
| 1 | 1(0.7) | |||
|
| 1 | 1 (0.7) | |||
|
| 2 | 2(1.5) | |||
|
| 1 | 1 (0.7) | |||
|
| 1 | 1 | 2 (1.5) | ||
|
| 2 | 3 | 18 | 10 | 33 (24.1) |
|
| 1 | 1 | 2 | 4 (2.9) | |
|
| 1 | 1 (0.7) | |||
| Total | 13 | 26 | 35 | 63 | 137 (100) |
aBlood and stool prospectively collected from patients at the two hospitals
bFecal sludge collected from public toilets in slum communities
cBlood and stool retrospectively collected from patients at the Korle Bu teaching hospital
Phage type distribution of Salmonella Serovars Enteritidis and Typhimurium
| Sample types | |||||
|---|---|---|---|---|---|
| Phage type | Stoola | Fecal sludgeb | Blooda | Blood/stoolc | No. of isolates (%) |
|
| |||||
| PT1 | 2 | 1 | 3 (6.5) | ||
| PT4 | 1 | 1 | 2 | 4 (8.7) | |
| PT4B | 1 | 1 (2.2) | |||
| PT8 | 1 | 1 (2.2) | |||
| PT14B | 2 | 8 | 10 (21.7) | ||
| PT14C | 1 | 3 | 4 (8.7) | ||
| PT34 | 1 | 1 (2.2) | |||
| RDNC | 1 | 18 | 19 (41.3) | ||
| NT | 1 | 2 | 3 (6.5) | ||
| Total | 1 | 4 | 5 | 36 | 46 |
|
| |||||
| DT1 | 5 | 5 (17.9) | |||
| DT22 | 1 | 3 | 3 (10.7) | ||
| DT99 | 2 | 2 (7.1) | |||
| DT120 | 1 | 1 (3.6) | |||
| DT197 | 1 | 2 | 3 (10.7) | ||
| RDNC | 1 | 4 | 1 | 6 (21.4) | |
| NT | 1 | 6 | 7 (25.0) 1 | ||
| Total | 2 | 2 | 15 | 9 | 28 2 |
aBlood and stool prospectively collected from patients at the two hospitals
bFecal sludge collected from public toilets in slum communities
cBlood and stool retrospectively collected from patients at the Korle Bu teaching hospital
Antimicrobial resistance patterns of Salmonella serovars isolated from humans in Ghana
| Serotype |
| Antimicrobialsa | Summaryc | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TET | AMP | AMX | CIP | NAL | GEN | TMP | SUL | CHL | CAZ | FOX | CTX | 0 | 1–3 | >3 | ||
|
| 54 | 32b | 26 | 7 | 15 | 10 | 2 | 35 | 27 | 18 | 2 | 1 | 0 | 11 | 14 | 29 |
|
| 33 | 11 | 16 | 3 | 5 | 3 | 1 | 17 | 12 | 11 | 2 | 2 | 2 | 4 | 10 | 19 |
|
| 12 | 11 | 11 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 0 |
|
| 5 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 1 | 0 | 1 | 0 | 0 | 1 | 4 | 0 |
|
| 5 | 4 | 3 | 0 | 1 | 1 | 0 | 4 | 4 | 3 | 0 | 0 | 0 | 1 | 1 | 3 |
|
| 4 | 0 | 2 | 1 | 1 | 2 | 0 | 2 | 1 | 0 | 2 | 0 | 2 | 0 | 4 | 0 |
|
| 4 | 1 | 1 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 1 |
|
| 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
|
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
|
| 2 | 1 | 1 | 1 | 1 | 1 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 |
|
| 2 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
|
| 2 | 2 | 0 | 0 | 2 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
|
| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
|
| 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
|
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
|
| 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
|
| 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
|
| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
|
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
|
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
|
| 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
|
| 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| Total | 137 | 69 | 64 | 14 | 28 | 23 | 4 | 74 | 52 | 38 | 9 | 3 | 5 | 25 | 54 | 58 |
a TET tetracycline, AMP ampicillin, CIP ciprofloxacin, NAL nalidixic acid, GEN gentamicin, TMP trimethoprim, SUL sulfamethazole, CHL chloramphenicol, AMX amoxicillin clavulanic acid, CAZ ceftazidime, CTX cefotaxime, FOX cefoxitin
bNumbers under the different antimicrobials indicate the number of resistant isolates
c0 = susceptible to all tested antimicrobials, 1–3 = resistant up to three antimicrobials, >3 = multiresistant to more than three classes of antimicrobials
Fig. 1Dendrogram of cluster analysis of S. Enteritidis strains from human (B/S, blood, stool, and fecal sludge) and poultry (feces and dust) generated with gel Compar Software using unweighted pair-group arithmetic means (UPGMA) methods with 2.0% band position tolerance and 0.50% optimization parameter. n = not determined
Fig. 2Dendrogram of cluster analysis of S. Typhimurium strains from human (B/S, blood, stool, and fecal sludge) and poultry generated with gel Compar Software using unweighted pair-group arithmetic means (UPGMA) methods with 2.0% band position tolerance and 0.50% optimization parameter. n = not determined