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1.
J Infect Dev Ctries ; 18(4): 579-586, 2024 Apr 30.
Article in English | MEDLINE | ID: mdl-38728636

ABSTRACT

INTRODUCTION: Streptococcus pneumoniae cause a significant global health challenge. We aimed to determine nasopharyngeal carriage, serotypes distribution, and antimicrobial profile of pneumococci among the children of Aden. METHODOLOGY: A total of 385 children, aged 2-17 years, were included. Asymptomatic samples were randomly collected from children in selected schools and vaccination centers. Symptomatic samples were obtained from selected pediatric clinics. The nasopharyngeal swabs were tested for pneumococci using culture and real time polymerase chain reaction (RT-PCR). Serotyping was done with a pneumotest-latex kit and antimicrobial susceptibility was tested by disc diffusion and Epsilometer test. RESULTS: The total pneumococcal carriage was 44.4% and 57.1% by culture and RT-PCR, respectively. There was a statistically significant association between carriage rate and living in single room (OR = 7.9; p = 0.00001), sharing a sleeping space (OR = 15.1; p = 0.00001), and low monthly income (OR = 2.02; p = 0.007). The common serotypes were 19, 1, 4, 5, 2, and 23. The proportion of non-pneumococcal conjugate vaccine (non-PCV13) serotypes was 24%. Pneumococci were resistant to penicillin (96.5%), cefepime (15.8%), ceftriaxone (16.4%), and amoxicillin-clavulanate (0%). Erythromycin, azithromycin, and doxycycline had resistance rates of 48%, 31%, and 53.3%, respectively. CONCLUSIONS: A high pneumococcal carriage rate was observed in Yemeni children, particularly in low-income households and shared living conditions. There was significant penicillin resistance at meningitis breakpoint. Furthermore, non-PCV13 serotypes were gradually replacing PCV13 serotypes. The findings underscore the urgent need for enhanced surveillance and stewardship to improve vaccination and antibiotic policies in Yemen.


Subject(s)
Carrier State , Nasopharynx , Pneumococcal Infections , Pneumococcal Vaccines , Serogroup , Streptococcus pneumoniae , Vaccines, Conjugate , Humans , Streptococcus pneumoniae/drug effects , Streptococcus pneumoniae/isolation & purification , Streptococcus pneumoniae/classification , Child , Child, Preschool , Cross-Sectional Studies , Yemen/epidemiology , Pneumococcal Infections/epidemiology , Pneumococcal Infections/prevention & control , Pneumococcal Infections/microbiology , Female , Male , Pneumococcal Vaccines/administration & dosage , Adolescent , Carrier State/epidemiology , Carrier State/microbiology , Nasopharynx/microbiology , Vaccines, Conjugate/administration & dosage , Anti-Bacterial Agents/pharmacology , Microbial Sensitivity Tests , Serotyping
2.
Int J Biol Macromol ; 257(Pt 1): 128563, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38070800

ABSTRACT

Biofilm formation by Pseudomonas aeruginosa is primarily responsible for chronic wound and lung infections in humans. These infections are persistent owing to the biofilm's high tolerance to antimicrobials and constantly changing environmental factors. Understanding the mechanism governing biofilm formation can help to develop therapeutics explicitly directed against the molecular markers responsible for this process. After numerous years of research, many genes responsible for both in vitro and in vivo biofilm development remain unidentified. However, there is no "all in one" complete in vivo or in vitro biofilm model. Recent findings imply that the shift from planktonic bacteria to biofilms is a complicated and interrelated differentiation process. Research on the applications of omics technologies in P. aeruginosa biofilm development is ongoing, and these approaches hold great promise for expanding our knowledge of the mechanisms of biofilm formation. This review discusses the different factors that affect biofilm formation and compares P. aeruginosa biofilm formation using the omics approaches targeting essential biological macromolecules, such as DNA, RNA, Protein, and metabolome. Furthermore, we have outlined the application of currently available omics tools, such as genomics, proteomics, metabolomics, transcriptomics, and integrated multi-omics methodologies, to understand the differential gene expression (biofilm vs. planktonic bacteria) of P. aeruginosa biofilms.


Subject(s)
Pseudomonas Infections , Pseudomonas aeruginosa , Humans , Proteomics , Plankton/genetics , Multiomics , Biofilms , Pseudomonas Infections/microbiology , Bacteria/genetics , Gene Expression Profiling
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