Biomedical subjects

Hamid Hossain

Publications and source records attributed to Hamid Hossain.

4 recordsLinked to original sources

PubMed2006

Host gene expression profiling in pathogen-host interactions.

Microarray technology is a powerful high-throughput tool for the analysis of host-pathogen interactions that permits simultaneous interrogation of the transcriptional status of thousands of genes. Emerging topics from microarray-based studies employing diverse pathogens and cell types suggest an initial common host response largely characterised by features of the innate immune response. However, specific host gene expression patterns that reflect differences between bacteria of related genera, different species of a particular genus, as well as strains within a single species can also be discerned. These differences are indicative of virulence determinant functions and suggest adaptive survival strategies. These studies have led to a more comprehensive understanding of the host response and identified new avenues of research for potential control strategies against pathogens.

Animals↗

PubMed2006

Intracellular gene expression profile of Listeria monocytogenes.

Listeria monocytogenes is a gram-positive, food-borne microorganism responsible for invasive infections with a high overall mortality. L. monocytogenes is among the very few microorganisms that can induce uptake into the host cell and subsequently enter the host cell cytosol by breaching the vacuolar membrane. We infected the murine macrophage cell line P388D1 with L. monocytogenes strain EGD-e and examined the gene expression profile of L. monocytogenes inside the vacuolar and cytosolic environments of the host cell by using whole-genome microarray and mutant analyses. We found that approximately 17% of the total genome was mobilized to enable adaptation for intracellular growth. Intracellularly expressed genes showed responses typical of glucose limitation within bacteria, with a decrease in the amount of mRNA encoding enzymes in the central metabolism and a temporal induction of genes involved in alternative-carbon-source utilization pathways and their regulation. Adaptive intracellular gene expression involved genes that are associated with virulence, the general stress response, cell division, and changes in cell wall structure and included many genes with unknown functions. A total of 41 genes were species specific, being absent from the genome of the nonpathogenic Listeria innocua CLIP 11262 strain. We also detected 25 genes that were strain specific, i.e., absent from the genome of the previously sequenced L. monocytogenes F2365 serotype 4b strain, suggesting heterogeneity in the gene pool required for intracellular survival of L. monocytogenes in host cells. Overall, our study provides crucial insights into the strategy of intracellular survival and measures taken by L. monocytogenes to escape the host cell responses.

Animals↗

PubMed2005

An integrated data-warehouse-concept for clinical and biological information.

The development of medical research networks within the framework of translational research has fostered interest in the integration of clinical and biological research data in a common database. The building of one single database integrating clinical data and biological research data requires a concept which enables scientists to retrieve information and to connect known facts to new findings. Clinical parameters are collected by a Patient Data Management System and viewed in a database which also includes genomic data. This database is designed as an Entity Attribute Value model, which implicates the development of a data warehouse concept. For the realization of this project, various requirements have to be taken into account which has to be fulfilled sufficiently in order to align with international standards. Data security and protection of data privacy are most important parts of the data warehouse concept. It has to be clear how patient pseudonymization has to be carried out in order to be within the scope of data security law. To be able to evaluate the data stored in a database consisting of clinical data collected by a Patient Data Management System and genomic research data easily, a data warehouse concept based on an Entity Attribute Value datamodel has been developed.

Computer Security↗

PubMed2003

Culture-independent identification of pathogenic bacteria and polymicrobial infections in the genitourinary tract of renal transplant recipients.

Renal transplant recipients are predisposed to urinary tract infections caused by both common uropathogens and opportunistic bacteria resulting frequently in significant polymicrobial infections. In this study, a culture-independent 16S rRNA-based approach was established to identify unusual, fastidious, or anaerobic bacteria and to investigate bacterial diversity in urinary tract specimens. Similarly sized amplicons encompassing the V6 to V8 region of the 16S rRNA were analyzed with denaturing high-performance liquid chromatography (DHPLC) (WAVE System). Artificial mixtures of single amplicons from commonly encountered uropathogenic bacteria produced distinct peak profiles whose identities were confirmed by sequencing individually collected peak products. We evaluated the application of the method on 109 urinary tract specimens from renal transplant recipients; 100% correlation was found for culture-positive specimens, and DHPLC generated peak profiles. However, for culture-negative specimens, DHPLC facilitated the detection of novel peak profiles. DNA sequencing of these individual peaks was used to identify the bacteria involved. Thus, in PCR-positive but culture-negative samples the method allowed detection of previously known uropathogens such as Corynebacterium urealyticum and Gardnerella vaginalis, but also unusual agents including Anaerococcus lactolyticus, Bacteroides vulgatus, Dialister invisus, Fusobacterium nucleatum, Lactobacillus iners, Leptotrichia amnionii, Prevotella buccalis, Prevotella ruminicola, Rahnella aquatilis, and Streptococcus intermedius were detected as single pathogens or as constituents of polymicrobial infections. The method described is reproducible and rapidly and enables both DHPLC-based profiling and sequence-based investigation of microbial communities and polymicrobial infections. A detailed understanding of infections found in recipients of renal transplants will guide antibiotic therapy regimens and provide new perspectives for decreasing the risk of graft rejection.

Bacteria↗