| Literature DB >> 30532182 |
Codou Ndiaye1,2, Hubert Bassene2, Jean-Christophe Lagier1, Didier Raoult1, Cheikh Sokhna3,2.
Abstract
Aside from malaria, infectious diseases are an important cause of death in sub-Saharan Africa and continue to pose major public health problems in African countries, notably pneumonia. Streptococcus pneumoniae remains the most common bacterial cause of pneumonia in all age groups. The skin is one of the main infection sites followed by the oropharynx. The skin carriage of certain pathogenic bacteria such as S. pneumoniae is often ignored or under-diagnosed. Finally, the mode of transmission of these infections remains uncertain. Here, we hypothesized that skin could play a role in the transmission of these infections. We collected 649 cotton swabs from a healthy population in Dielmo and Ndiop, rural Senegal. The sampling was carried out on the palm of the hands. After DNA extraction and actin control, qPCR targeting eight different bacteria was performed on 614 skin samples. We detected Streptococcus pneumoniae in 33.06% (203/614), Staphylococcus aureus in 18.08% (111/614) and Streptococcus pyogenes in 1.95% (12/614) of samples. A skin S. pneumoniae carriage was detected in more than a third of a rural population in rural Africa, highlighting the need to develop hand disinfection programs in order to reduce the burden of infections.Entities:
Mesh:
Year: 2018 PMID: 30532182 PMCID: PMC6312329 DOI: 10.1371/journal.pntd.0006945
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Target sequences, primers and probes used in a study.
| Targeted Organism | Targeted gène | Name | Sequences | References |
|---|---|---|---|---|
| RC0338 | 1029-F1 | GAM AAA TGA ATT ATA TAC GCC GCA AA | [ | |
| 1029-R1 | ATT ATT KCC AAA TAT TCG TCC TGT AC | |||
| Rick1029_MBP | 6FAM- CGG CAG GTA AGK ATG CTA CTC AAG ATA A-TAMRA | |||
| Biotin syntase | R_fel0527_F | ATG TTC GGG CTT CCG GTA TG | [ | |
| R_fel0527_R | CCG ATT CAG CAG GTT CTT CAA | |||
| R_fel0527_P | 6FAM- GCT GCG GCG GTA TTT TAG GAA TGG G -TAMRA | |||
| ITS | Barto_ ITS3_ F | GAT GCC GGG GAA GGT TTT C | [ | |
| Barto_ ITS3_ R | GCC TGG GAG GAC TTG AA CCT | |||
| Barto _ITS3 _P | 6FAM- GCG CGC GCT TGA TAA GCG TG -TAMRA | |||
| 16S | Bor_16S_3_F | AGC CTT TAA AGC TTC GCT TGT AG | [ | |
| Bor_16S_3_R | GCC TCC CGT AGG AGT CTG G | |||
| Bor_16S_3_P | 6FAM-CCG GCC TGA GAG GGT GAA CGG-TAMRA | |||
| glpQ | Borcro_glpQ_F | CCT TGG ATA CCC CAA ATC ATC | [ | |
| Borcro_glpQ_R | GGC AAT GCA TCA ATT CTA AAC | |||
| Brocro_glpQ_MGB_P | 6FAM-ATG GAC AAA TGA CAG GTC TTAC-MGB | |||
| IS1111A | Coxbur_IS1111_0706_F | CAA GAA ACG TAT CGC TGT GGC | [ | |
| Coxbur_IS1111_0706_R | CAC AGA GCC ACC GTA TGA ATC | |||
| Coxbur_IS1111_0706_P | 6FAM-CCG AGT TCG AAA CAA TGA GGG CTG-TAMRA | |||
| Hyp.Protein | Coxbur_IS30A_3_F | CGC TGA CCT ACA GAA ATA TGT CC | [ | |
| Coxbur_IS30A_3_R | GGG GTA AGT AAA TAA TAC CTT CTG G | |||
| Coxbur_IS30A_3_P | 6-FAM- CAT GAA GCG ATT TAT CAA TAC GTG TAT GC-TAMRA | |||
| NucA | Saur__NucA__F | TTG ATA CGC CAG AAA CGG TG | [ | |
| Saur__NucA__R | TGA TGC TTC TTT GCC AAA TGG | |||
| Saur__NucA_MGB_P | 6FAM- AAC CGA ATA CGC CTG TAC -MGB | |||
| Saur_F | CCT CGA CAG GTA ACG CAT CA | [ | ||
| Saur_R | AAA CTC CTA TCG GCC GCA AT | |||
| Saur_P | 6FAM-TGC AAT GGT AGG TCC TGT GCC CA | |||
| hypothetical | Spyo_hypp_F | ACA GGA ACT AAT ACT GAT TGG AAA GG | [ | |
| Spyo_hypp_R | TGT AAA GTG AAA ATA GCA GCT CTA GCA | |||
| Spyo_hypp_P | 6FAM- AAAATGTTGTGTTTTAGGCACTGGCGG-TAMRA | |||
| MipB | Spyo_mipB_F | CCA TAC GGT TAT AGT AAG GAG CCA AA | [ | |
| Spyo_mipB_R | GGC TAT CAC ATC ACA GCA ACC | |||
| Spyo_mipB_P | 6FAM- TCAGCGCCAGCTTCAATGGC- TAMRA | |||
| plyN | Pneumo_plyN_F | GCG ATA GCT TTC TCC AAG TGG | [ | |
| Pneumo_plyN_R | TTA GCC AAC AAA TCG TTT ACC G | |||
| Pneumo_plyN_P | 6FAM-CCC AGC AAT TCA AGT GTT CGC CGA-TAMRA | |||
| lyt A | Pneumo_lytA_F | CCT GTA GCC ATT TCG CCT GA | [ | |
| Pneumo_lytA_R | GAC CGC TGG AGG AAG CAC A | |||
| Pneumo_lytA_P | 6-FAM- AGA CGG CAA CTG GTA CTG GTT CGA CAA-TAMRA | |||
| WiSP family protein (WHI2) | T_whi2_F | TGA GGA TGT ATC TGT GTA TGG GAC A | [ | |
| T_whi2_R | TCC TGT TAC AAG CAG TAC AAA ACA AA | |||
| T_whi2_P | 6FAM- GAG AGA TGG GGT GCA GGA CAG GG-TAMRA | |||
| WiSP family protein (WHI3) | T_whi3_F | TTG TGT ATT TGG TAT TAG ATG AAA CAG | [ | |
| T_whi3_R | CCC TAC AAT ATG AAA CAG CCT TTG | |||
| T_whi3_P | 6FAM- GGG ATA GAG CAG GAG GTG TCT GTC TGG-TAMRA |
Results of prevalence of pathogenic bacteria in Dielmo and Ndiop.
| Bacterium identified | Incidences (%) |
|---|---|
| 33.06% (203/614) | |
| 13.35% (82/614) | |
| 18.08% (111/614) | |
| 3.42% (21/614) | |
| 1.95% (12/614) |
Results of prevalence of pathogenic bacteria in Dielmo and Ndiop by Age-group.
| Age group (years) | |||
|---|---|---|---|
| 39.40% (47/119) | 15.96% (19/119) | ||
| 47.93% (58/121) | 19.83% (24/121) | ||
| 37.34% (31/83) | 22.89% (19/83) | ||
| 23.30% (31/133) | 19.55% (26/133) | ||
| 25.97% (20/77) | 15.58%(12/77) | ||
| 17.02% (8/47) | 17.02% (8/47) | ||
| 23.52% (8/34) | 8.82% (3/34) |
Results of prevalence of pathogenic bacteria in Dielmo and Ndiop by sex.
| Men | Women | ||
|---|---|---|---|
| 46.74% (115 /246) | 23.91% (88/368) | ||
| 14.22% (35/246) | 20.65% (76/368) |