CodY is a nutritional regulator mainly involved in amino acid metabolism. It has been extensively studied in Bacillus subtilis and Lactococcus lactis. We investigated the role of CodY in gene regulation and virulence of the human pathogen Streptococcus pneumoniae. We constructed a codY mutant and examined the effect on gene and protein expression by microarray and two-dimensional differential gel electrophoresis analysis. The pneumococcal CodY regulon was found to consist predominantly of genes involved in amino acid metabolism but also several other cellular processes, such as carbon metabolism and iron uptake. By means of electrophoretic mobility shift assays and DNA footprinting, we showed that most of the targets identified are under the direct control of CodY. By mutating DNA predicted to represent the CodY box based on the L. lactis consensus, we demonstrated that this sequence is indeed required for in vitro DNA binding to target promoters. Similar to L. lactis, DNA binding of CodY was enhanced in the presence of branched-chain amino acids, but not by GTP. We observed in experimental mouse models that codY is transcribed in the murine nasopharynx and lungs and is specifically required for colonization. This finding was underscored by the diminished ability of the codY mutant to adhere to nasopharyngeal cells in vitro. Furthermore, we found that pcpA, activated by CodY, is required for adherence to nasopharyngeal cells, suggesting a direct link between nutritional regulation and adherence. In conclusion, pneumococcal CodY predominantly regulates genes involved in amino acid metabolism and contributes to the early stages of infection, i.e., colonization of the nasopharynx.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2223708 | PMC |
http://dx.doi.org/10.1128/JB.00917-07 | DOI Listing |
Patient Educ Couns
January 2025
Department of Communication, Rutgers University, New Brunswick, USA. Electronic address:
Objective: We conducted a systematic scoping review to characterize the landscape of communication scholarship within racial health equity in and through the patient-provider interaction.
Methods: We employed three waves of data collection to identify relevant articles (N = 454) about racial equity within provider-patient interactions. We iteratively developed a codebook concerning article characteristics, coding for journal names, data source, descriptive characteristics for the study samples, and presence of theory and equity in sections of the manuscripts.
Pathogens
December 2024
Department of Microbiology & Immunology, University of Texas Medical Branch, Galveston, TX 77555, USA.
Flaviviruses, a group of single-stranded RNA viruses spread by mosquitoes or ticks, include several significant neurotropic viruses, such as West Nile virus (WNV), Japanese encephalitis virus (JEV), tick-borne encephalitis virus (TBEV), and Zika virus (ZIKV). These viruses can cause a range of neurological diseases during acute infection, from mild, flu-like symptoms to severe and fatal encephalitis. A total of 20-50% of patients who recovered from acute flavivirus infections experienced long-term cognitive issues.
View Article and Find Full Text PDFPhysiol Rev
January 2025
Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
Physical activity is a meaningful part of life, which starts before birth and lasts until death. There are many health benefits to be derived from physical activity, hence, regular engagement is recommended on a weekly basis. However, these recommendations are often not met.
View Article and Find Full Text PDFJ Arthroplasty
January 2025
Orthopedic Surgery Artificial Intelligence Laboratory, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA; Mayo Clinic Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA. Electronic address:
Background: A drastic increase in the volume of primary total knee arthroplasties (TKAs) performed nationwide will inevitably lead to higher volumes of revision TKAs in which the primary knee implant must be removed. An important step in preoperative planning for revision TKA is implant identification, which is time-consuming and difficult even for experienced surgeons. We sought to develop a deep learning algorithm to automatically identify the most common models of primary TKA implants.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!