Project description:Melioidosis is a serious infection caused by the bacterium Burkholderia pseudomallei (Bp) with a case fatality rate of up to 40% in Northeast Thailand. Diabetes increases the risk of developing melioidosis by 12-fold. A similar, but less marked, relationship with diabetes is seen in tuberculosis (TB) patients, with a 3-fold increased risk of developing TB in people with diabetes. However, the mechanisms underlying increased susceptibility are not fully understood. Whole blood samples of 81 acute melioidosis patients from Northeast Thailand and 151 TB patients from South Africa, Indonesia, Romania and Peru alongside uninfected control cohorts were studied by whole blood RNA sequencing. We identified that having diabetes is associated with a hyper-inflammatory response to both melioidosis and TB, with increased neutrophil and platelet degranulation, and exaggerated activation of coagulation and scavenger activation pathways. The impact is more subtle in melioidosis but pronounced in tuberculosis with stunted interferon responses
Project description:The genes had different expression between healthy people and acute myocardial infarction.We aimed to identify the differentially expressed genes involved in acute myocardial infarction in Northeast Chinese Han people. We used microarrays to detail the global programme of gene expression to identify the differentially gene between the patients with acute myocardial infarction and healthy people in Northeast Chinese Han people
Project description:To investigate the transcriptomes in colorectal cancer patients, who were diagnosed and treated at Siriraj Hospital, Thailand, we performed gene expression profiling analysis using data obtained from RNA-seq and Nanostring platforms.
Project description:To investigate the transcriptomes in colorectal cancer patients, who were diagnosed and treated at Siriraj Hospital, Thailand, we performed gene expression profiling analysis using data obtained from RNA-seq and Nanostring platforms.
Project description:The temporal evolution of sepsis was monitored by transcriptional profiling of five critically ill children with meningococcal sepsis and sepsis-induced multiple organ failure. Blood was sampled at 6 time points during the first 48 hours of their admission to pediatric intensive care, where the children received standard clinical treatment including organ support and antimicrobial therapy. Striking transcript instability was observed over the 48 hours, with increasing numbers of regulated genes over time. Most notably, proposed biomarkers for sepsis risk stratification also showed expression instability, with varied expression levels over 48 hours. This study demonstrates the extent of the complexity of temporal changes in gene expression that occur during the evolution of sepsis-induced multiple organ failure. Importantly, stratification tools that propose expression of biomarkers must take into account the temporal changes, over the use of single snapshots that may be less informative.