Mark Lennon

Signature Gene Expression Profiles Discriminate between Isoniazid-, Thiolactomycin-, and Triclosan-Treated Mycobacterium tuberculosis

ABSTRACT Genomic technologies have the potential to greatly increase the efficiency of the drug development process. As part of our tuberculosis drug discovery program, we used DNA microarray technology to profile drug-induced effects in Mycobacterium tuberculosis. Expression profiles of M. tuberculosis treated with compounds that inhibit key metabolic pathways are required as references for the assessment of novel antimycobacterial agents. We have studied the response of M. tuberculosis to treatment with the mycolic acid biosynthesis inhibitors isoniazid, thiolactomycin, and triclosan. Thiolactomycin targets the β-ketoacyl-acyl carrier protein (ACP) synthases KasA and KasB, while triclosan inhibits the enoyl-ACP reductase InhA. However, controversy surrounds the precise mode of action of isoniazid, with both InhA and KasA having been proposed as the primary target. We have shown that although the global response profiles of isoniazid and thiolactomycin are more closely related to each other than to that of triclosan, there are differences that distinguish the mode of action of these two drugs. In addition, we have identified two groups of genes, possibly forming efflux and detoxification systems, through which M. tuberculosis may limit the effects of triclosan. We have developed a mathematical model, based on the expression of 21 genes, which is able to perfectly discriminate between isoniazid-, thiolactomycin-, or triclosan-treated M. tuberculosis. This model is likely to prove invaluable as a tool to improve the efficiency of our drug development programs by providing a means to rapidly confirm the mode of action of thiolactomycin analogues or novel InhA inhibitors as well as helping to translate enzyme activity into whole-cell activity.

Identifying and testing candidate genetic polymorphisms in the irritable bowel syndrome (IBS): association with TNFSF15 and TNFα

Objectives The postinfectious irritable bowel syndrome (PI-IBS) suggests that impaired resolution of inflammation could cause IBS symptoms. The authors hypothesised that polymorphisms in genes whose expression were altered by gastroenteritis might be linked to IBS with diarrhoea (IBS-D) which closely resembles PI-IBS. Design Part 1: 25 healthy volunteers (HVs), 21 patients 6 months after Campylobacter jejuni infection, 37 IBS-D and 19 IBS with constipation (IBS-C) underwent rectal biopsy for gene expression analysis and peripheral blood mononuclear cell cytokine production assessment. Part 2: Polymorphisms in genes whose expression was altered in Part 1 were assessed in 179 HV, 179 IBS-D, 122 IBS-C and 41 PI-IBS. Results Part 1: Mucosal expression of seven genes was altered in IBS: CCL11, CCL13, Calpain 8 and TNFSF15 increased while NR1D1, GPR161 and GABRE decreased with similar patterns after infection with C jejuni. Part 2: The authors assessed 21 known single nucleotide polymorphisms (SNPs) in these seven genes and one SNP in each of the TNFα and IL-10 genes. Three out of five TNFSF15 SNPs (rs6478108, rs6478109 and rs7848647) showed reduced minor allele frequency (MAF) (0.28, 0.27 and 0.27) in subjects with IBS-D compared with HV (0.38, 0.36 and 0.37; p=0.007, 0.015 and 0.007, respectively) confirming others recent findings. The authors also replicated the previously reported association of the TNFα SNP rs1800629 with PI-IBS which showed an increase in the MAF at 0.30 versus 0.19 for HV (p=0.04). Conclusion IBS-D and PI-IBS patients are associated with TNFSF15 and TNFα genetic polymorphisms which also predispose to Crohns disease suggesting possible common underlying pathogenesis.

Analysis of gene expression in two large schizophrenia cohorts identifies multiple changes associated with nerve terminal function

Schizophrenia is a severe psychiatric disorder with a world-wide prevalence of 1%. The pathophysiology of the illness is not understood, but is thought to have a strong genetic component with some environmental influences on aetiology. To gain further insight into disease mechanism, we used microarray technology to determine the expression of over 30 000 mRNA transcripts in post-mortem tissue from a brain region associated with the pathophysiology of the disease (Brodmann area 10: anterior prefrontal cortex) in 28 schizophrenic and 23 control patients. We then compared our study (Charing Cross Hospital prospective collection) with that of an independent prefrontal cortex dataset from the Harvard Brain Bank. We report the first direct comparison between two independent studies. A total of 51 gene expression changes have been identified that are common between the schizophrenia cohorts, and 49 show the same direction of disease-associated regulation. In particular, changes were observed in gene sets associated with synaptic vesicle recycling, transmitter release and cytoskeletal dynamics. This strongly suggests multiple, small but synergistic changes in gene expression that affect nerve terminal function.

Transcription and pathway analysis of the superior temporal cortex and anterior prefrontal cortex in schizophrenia

The molecular basis of schizophrenia is poorly understood; however, different brain regions are believed to play distinct roles in disease symptomology. We have studied gene expression in the superior temporal cortex (Brodmann area 22; BA22), which may play a role in positive pathophysiology, and compared our results with data from the anterior prefrontal cortex (BA10), which shows evidence for a role in negative symptoms. Genome‐wide mRNA expression was determined in the BA22 region in 23 schizophrenics and 19 controls and compared with a BA10 data set from the same subjects. After adjustments for confounding sources of variation, we carried out GeneGO pathway enrichment analysis in each region. Significant differences were seen in age‐related transcriptional changes between the BA22 and the BA10 regions, 21.8% and 41.4% of disease‐associated transcripts showing age association, respectively. After removing age associated changes from our data, we saw the highest enrichment in processes mediating cell adhesion, synaptic contact, cytoskeletal remodelling, and apoptosis in the BA22 region. For the BA10 region, we observed the strongest changes in reproductive signalling, tissue remodelling, and cell differentiation. Further exploratory analysis also identified potentially disease‐relevant processes that were undetected in our more stringent primary analysis, including autophagy in the BA22 region and the amyloid process in the BA10 region. Collectively, our analysis suggests disruption of many common pathways and processes underpinning synaptic plasticity in both regions in schizophrenia, whereas individual regions emphasize changes in certain pathways that may help to highlight pathway‐specific therapeutic opportunities to treat negative or positive symptoms of the disease.

Differential Gene Expression Identifies Novel Markers of CD4+ and CD8+ T Cell Activation Following Stimulation by Mycobacterium tuberculosis

T cell activation in response to antigenic stimulation is a complex process, involving changes in the expression level of a large number of genes. We have used cDNA array technology to characterize the differences in gene expression between human CD4+ and CD8+ T cells. PBMC from six healthy donors were stimulated with live Mycobacterium tuberculosis, and the gene expression profiles of each donor’s CD4+ and CD8+ T cells were analyzed separately. ANOVA revealed 518 genes that were consistently differentially expressed between CD4+ and CD8+ T cells. These differentially expressed genes include a combination of well-known, previously characterized genes with a range of biological functions and unknown in silico predicted hypothetical genes. Where possible, the novel genes have been characterized using bioinformatics, and putative transcription factors, signaling molecules, transmembrane, and secreted factors have been identified. A subset of these differentially expressed genes could be exploited as markers of CD4+ and CD8+ T cell activation for use in vaccine trials. These observed differences in the gene expression profile of CD4+ and CD8+ T cells following activation by a human pathogen contribute to an increased understanding of T cell activation and differentiation and the roles these T cell subsets may play in immunity to infection.

Genome-wide transcription profiling in neutrophils in acute respiratory distress syndrome

BACKGROUND Acute respiratory distress syndrome (ARDS) is characterised by diffuse neutrophil-mediated alveolar inflammation. Recently, we demonstrated that blood polymorphonuclear leucocytes (PMNs) in ARDS are basally activated, and exhibit aberrant oxidative burst and survival responses. The molecular mechanisms governing ARDS PMN function and longevity are incompletely understood. We aimed to use genome-wide transcriptional profiling of ARDS blood PMNs to explore underlying disease mechanisms and identify therapeutic targets aimed at manipulating PMN function and longevity. METHODS GeneChip Affymetrix oligonucleotide arrays were used to assess global transcriptional profiles in highly pure PMNs from ventilated patients fulfilling the Berlin ARDS definition (n=10), in freshly isolated PMNs from age-matched and sex-matched healthy volunteers (n=10), and in healthy volunteer PMNs exposed in vitro to recombinant human granulocyte-macrophage colony stimulating factor (rhGM-CSF) (1 ng/mL for 6 h). Ingenuity Pathway Analysis software was used to map probes identified as important onto specific pathways. FINDINGS Transcriptomic analysis showed that 1319 genes were altered in ARDS PMNs relative to healthy volunteer PMNs. Compared with well established reference databases, the gene expression profile in ARDS PMNs showed near-complete correlation to datasets derived from patients with sepsis and burns. Transcripts enriched in ARDS PMNs were differentially expressed in known functional network pathways associated with cancer, cellular compromise, apoptotic mechanisms, and chemotaxis. Of the observed gene changes, only 292 (22%) were seen in healthy volunteer PMNs after exposure to rhGM-CSF, of which 216 showed the same directional change as ARDS PMNs. INTERPRETATION Existing genome-wide studies in ARDS use total blood leucocytes; our study is the first, to our knowledge, to use unbiased global genomic profiling of highly pure ARDS blood PMNs in parallel with age-matched and gender-matched healthy volunteer PMNs treated with rhGM-CSF. Collectively our results show that ARDS PMNs display important de-novo transcriptional activity. The global transcriptomic changes were consistent with the observed aberrant ARDS PMN survival and functional phenotype that we have previously reported, and show near-complete correlation to existing sepsis and burns datasets, but only limited transcriptomic overlap with healthy volunteer PMNs treated with rhGM-CSF. FUNDING National Institute for Health Research, GlaxoSmithKline.