9 resultados para Fibrosis

em Digital Commons at Florida International University


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One in 3,000 people in the US are born with cystic fibrosis (CF), a genetic disorder affecting the reproductive system, pancreas, and lungs. Lung disease caused by chronic bacterial and fungal infections is the leading cause of morbidity and mortality in CF. Identities of the microbes are traditionally determined by culturing followed by phenotypic and biochemical assays. It was first thought that the bacterial infections were caused by a select handful of bacteria such as S. aureus, H. influenzae, B. cenocepacia, and P. aeruginosa. With the advent of PCR and molecular techniques, the polymicrobial nature of the CF lung became evident. The CF lung contains numerous bacteria and the communities are diverse and unique to each patient. The total complexity of the bacterial infections is still being determined. In addition, only a few members of the fungal communities have been identified. Much of the fungal community composition is still a mystery. This dissertation addresses this gap in knowledge. A snap shot of CF sputa bacterial community was obtained using the length heterogeneity-PCR community profiling technique. The profiles show that south Florida CF patients have a unique, diverse, and dynamic bacterial community which changes over time. The identities of the bacteria and fungi present were determined using the state-of-the-art 454 sequencing. Sequencing results show that the CF lung microbiome contains commonly cultured pathogenic bacteria, organisms considered a part of the healthy core biome, and novel organisms. Understanding the dynamic changes of these identified microbes will ultimately lead to better therapeutical interventions. Early detection is key in reducing the lung damage caused by chronic infections. Thus, there is a need for accurate and sensitive diagnostic tests. This issue was addressed by designing a bacterial diagnostic tool targeted towards CF pathogens using SPR. By identifying the organisms associated with the CF lung and understanding their community interactions, patients can receive better treatment and live longer.

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This thesis would not have been possible without the aid of my family, friends, laboratory members, and professors. First and foremost, I would like to thank Dr. Kalai Mathee for allowing me to enter her lab in August 2007 and enabling to embark on this journey. This experience has transformed me into more mature scientist, teaching me how to ask the right questions and the process needed to solve them. I would also like to acknowledge Dr. Lisa Schneper. She has helped me throughout the whole process, by graciously giving me input at every step of the way. I would like to express gratitude to Dr. Jennifer Richards for all her input in writing the thesis. She has been a great teacher and being in her class has been a pleasure. Moreover, I would like to thank all the committee members for their constructive criticism throughout the process. When I entered the lab in August, there was one person who literally was by my side, Melissa Doud. Without your input and guidance I would not have even been able to do these experiments. I would also like to thank you and Dr. Light for allowing me to meet some cystic fibrosis patients. It has allowed me to put a face on the disease, and help the patients' fight. For a period before I had entered the lab, Ms. Doud had an apprentice, who started the fungal aspect of the project, Caroline Veronese. Her initial work has enabled me to prefect the protocols and complete the ITS 1 region.One very unique aspect about Dr. Mathee's lab is the camaraderie. I would like to thank all the lab members for the good times in and out of the lab. These individuals have been able to make smile and laugh in parties and lab meetings. I would like to individually thank Balachandar Dananjeyan, Deepak Balasubramanian, and V arinderpal Singh Pannu for all the PCR help and Natalie Maricic for the laughs and being a great classmate. Last, but not least, I would like to acknowledge my family and friends for their support and keeping me sane: Cecilia, my mother, Mohammad, my father, Amir, my older brother, Billal, my younger brother, Ouday Akkari and Stephanie De Bedout, my best friends.

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The predominant pathogen found in the lungs of cystic fibrosis (CF) patients is Pseudomonas aeruginosa. The success of the infection is partially due to virulence factor production, which is regulated by quorum sensing (QS) signaling. Currently, antibiotics are used to treat the infection, but resistant forms of P. aeruginosa have evolved, necessitating alternative treatments. Previous animal studies showed that treatment with extracts from the Chinese herb Panax ginseng C.A. Meyer reduced bacterial load resulting in a favorable immune response. It is hypothesized that ginsenosides, the major bioactive compounds in ginseng, is responsible for this effect. This study explores the role of ginseng extracts in attenuating P. aeruginosa virulence. A sequential extraction was performed using hexane, methylene chloride, methanol, and water. High performance liquid chromatography (HPLC) analysis showed the methanol and water ginseng extracts contained the known ginsenosides Rb1, Rb2, Rc, Rd, Re, and Rg1• All extracts were tested on biomonitor strains of Agrobacterium tumefaciens,Chromobacterium violaceum, and P. aeruginosa. Antibacterial and anti-QS activity were assessed using a disc diffusion assay. This was then followed by thin layer chromatography (TLC) bioautographic assay to further separate active compounds. The hexane and dichloromethane extracts, that lacked ginsenosides, displayed antibacterial activity against C. violaceum, whereas methanol and water extracts had anti-QS activity. The results of the bioassay with the pure ginsenoside standards showed that they lack antibacterial or anti-QS activity. Our results indicate that there are bioactive compounds, other than ginsenosides, that are the cause of antibacterial effects and anti-QS in the ginseng extracts.

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Majority of the microbial activity in humans is in the form of biofilms i.e. an Exopolysaccharide-enclosed bacterial mass. Unlike planktonic cells and the cells on the surface of the biofilm, the biofilm-embedded cells are more resistant to the effects of the antibiotics and the host cellular defense mechanisms. A combination of biofilm growth and inherent resistance prevents effective antibiotics treatment of Pseudomonas aeruginosa infections including those in patients with cystic fibrosis. This has lead to an increasing interest in alternative modalities of treatment. Thus, phages that multiply in situ, only in the presence of susceptible hosts can be used as natural, self-limiting, and deeply penetrating antibacterial agents. The objective of this study is to identify effective phages against a collection of P. aeruginosa isolates (PCOR strains) including the prototype PAOl and the isogenic constitutively alginate-producing PD0300 strains.These PCOR strains were tested against six phages (P105, P134, P140, P168, P175B and P182). Analysis shows 69 % of the PCOR isolates are sensitive and the rest are resistant to all six phages. These phages were then tested for their ability to inhibit biofilm formation using a modified biofilm assay. The analysis demonstrated that the sensitive strains showed increased resistance but none of the sensitive strains from the initial screening were resistant. Using the minimum biofilm eradication concentration (MBEC) assay for biofilm formation, the biofilm eradication ability of the phages was tested. The data showed that a higher volume of phage was required to eradicate preformed biofilms than the volume required to prevent colonization of planktonic cells. This data supports the idea of phage therapy more as a prophylactic treatment.

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Pseudomonas aeruginosa is an opportunistic pathogen that has received attention because of its close association with cystic fibrosis (CF). Chronic pulmonary infection with the mucoid P. aeruginosa is the leading cause of mortality in CF patients. This bacterium has the ability to sense and adapt to the harsh environment in the CF lung by converting from a nonmucoid to a mucoid state. The mucoid phenotype is caused by overproduction of a polysaccharide called alginate. Alginate production is regulated by the algT/U operon containing five genes, algT/U-mucA-mucB-mucC-mucD. Alginate overproduction in CF isolates has been partially attributed to a loss-of-function mutation in mucA that results in the overexpression of algT. This mucoid phenotype is unstable, reverting to the nonmucoid form when the isolates are cultured outside of the CF lung. This study was undertaken to determine the mechanisms involved in the conversion from the mucoid to the nonmucoid form. Thirty-six spontaneous nonmucoid variants of a known mucoid isolate with a mucA mutation were analyzed. Ten of these isolates were complemented in trans by plasmids containing the algT operon and the algT gene. Chromosomal DNA was extracted and the mucA and algT genes were amplified by the polymerase chain reaction. Sequence analysis of the genes showed that these mutants retained the original mucA mutation but acquired secondary mutations in the algT gene.

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Pseudomonas aeruginosa is an ubiquitous Gram-negative opportunistic pathogen that is commonly found in nosocomial infections, immunocompromised patients and burn victims. In addition, P. aeruginosa colonizes the lungs of cystic fibrosis patients, leading to chronic infection, which inevitably leads to their demise. In this research, I analyzed the factors contributing to P. aeruginosa antibiotic resistance, such as the biofilm mode of growth, alginate production, and 13-lactamase synthesis. Using the biofilm eradication assay (MBEC™ assay), I exposed P. aeruginosa to B-lactams (piperacillin, ceftazidime, and cefotaxime ), aminoglycosides ( amikacin, tobramycin and gentamicin), and a fluoroquinolone ( ciprofloxacin) at various concentrations. I analyzed the effects of biofilm on P. aeruginosa antibiotic resistance, and confirmed that the parent strain PAO 1 biofilms cells were > 100 times more resistant than planktonic (freefloating) cells. The constitutively alginate-producing strain PDO300 exhibited an altered resistance pattern as compared to the parent strain P AO 1. Finally, the role of AmpR, the regulator of ampC-encoded 13-lactamase expression was analyzed by determining the resistance of the strain carrying a mutation in the ampR gene and compared to the parent strain PAOl. It was confirmed that the loss of ampR contributes to increased antibiotic resistance.

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Chronic bronchopulmonary bacterial infections remain the most common cause of morbidity and mortality among patients with cystic fibrosis (CF). Recent community sequencing work has now shown that the bacterial community in the CF lung is polymicrobial. Identifying bacteria in the CF lung through sequencing can be costly and is not practical for many laboratories. Molecular techniques such as terminal restriction fragment length polymorphism or amplicon length heterogeneity-polymerase chain reaction (LH-PCR) can provide many laboratories with the ability to study CF bacterial communities without costly sequencing. The aim of this study was to determine if the use of LH-PCR with multiple hypervariable regions of the 16S rRNA gene could be used to identify organisms found in sputum DNA. This work also determined if LH-PCR could be used to observe the dynamics of lung infections over a period of time. Nineteen samples were analysed with the V1 and the V1_V2 region of the 16S rRNA gene. Based on the amplicon size present in the V1_V2 region, Pseudomonas aeruginosa was confirmed to be in all 19 samples obtained from the patients. The V1 region provided a higher power of discrimination between bacterial profiles of patients. Both regions were able to identify trends in the bacterial population over a period of time. LH profiles showed that the CF lung community is dynamic and that changes in the community may in part be driven by the patient's antibiotic treatment. LH-PCR is a tool that is well suited for studying bacterial communities and their dynamics.

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One in 3,000 people in the US are born with cystic fibrosis (CF), a genetic disorder affecting the reproductive system, pancreas, and lungs. Lung disease caused by chronic bacterial and fungal infections is the leading cause of morbidity and mortality in CF. Identities of the microbes are traditionally determined by culturing followed by phenotypic and biochemical assays. It was first thought that the bacterial infections were caused by a select handful of bacteria such as S. aureus, H. influenzae, B. cenocepacia, and P. aeruginosa. With the advent of PCR and molecular techniques, the polymicrobial nature of the CF lung became evident. The CF lung contains numerous bacteria and the communities are diverse and unique to each patient. The total complexity of the bacterial infections is still being determined. In addition, only a few members of the fungal communities have been identified. Much of the fungal community composition is still a mystery. This dissertation addresses this gap in knowledge. A snap shot of CF sputa bacterial community was obtained using the length heterogeneity-PCR community profiling technique. The profiles show that south Florida CF patients have a unique, diverse, and dynamic bacterial community which changes over time. The identities of the bacteria and fungi present were determined using the state-of-the-art 454 sequencing. Sequencing results show that the CF lung microbiome contains commonly cultured pathogenic bacteria, organisms considered a part of the healthy core biome, and novel organisms. Understanding the dynamic changes of these identified microbes will ultimately lead to better therapeutical interventions. Early detection is key in reducing the lung damage caused by chronic infections. Thus, there is a need for accurate and sensitive diagnostic tests. This issue was addressed by designing a bacterial diagnostic tool targeted towards CF pathogens using SPR. By identifying the organisms associated with the CF lung and understanding their community interactions, patients can receive better treatment and live longer.