Publications
378 results found
Lee HJ, Georgiadou A, Walther M, et al., 2018, Integrated pathogen load and dual transcriptome analysis of systemic host-pathogen interactions in severe malaria, Science Translational Medicine, Vol: 10, Pages: 1-17, ISSN: 1946-6234
The pathogenesis of infectious diseases depends on the interaction of host and pathogen. In Plasmodium falciparum malaria, host and parasite processes can be assessed by dual RNA-sequencing of blood from infected patients. Here we performed dual transcriptome analyses on samples from 46 malaria-infected Gambian children to reveal mechanisms driving the systemic pathophysiology of severe malaria. Integrating these transcriptomic data with estimates of parasite load and detailed clinical information allowed consideration of potentially confounding effects due to differing leukocyte proportions in blood, parasite developmental stage, and whole-body pathogen load. We report hundreds of human and parasite genes differentially expressed between severe and uncomplicated malaria, with distinct profiles associated with coma, hyperlactatemia, and thrombocytopenia. High expression of neutrophil granule-related genes was consistently associated with all severe malaria phenotypes. We observed severity-associated variation in the expression of parasite genes which determine cytoadhesion to vascular endothelium, rigidity of infected erythrocytes, and parasite growth rate. Up to 99% of human differential gene expression in severe malaria was driven by differences in parasite load, whereas parasite gene expression showed little association with parasite load. Co-expression analyses revealed interactions between human and P. falciparum, with prominent co-regulation of translation genes in severe malaria between host and parasite. Multivariate analyses suggested that increased expression of granulopoiesis and interferon-γ related genes, together with inadequate suppression of type-1 interferon signalling, best explained severity of infection. These findings provide a framework for understanding the contributions of host and parasite to the pathogenesis of severe malaria and identifying targets for adjunctive therapy.
Lee HJ, Georgiadou A, Otto T, et al., 2018, Transcriptomic studies in malaria – a paradigm for investigation of systemic host-pathogen interactions, Microbiology and Molecular Biology Reviews, Vol: 82, ISSN: 1092-2172
Transcriptomics, the analysis of genome-wide RNA expression, is a common approach to investigate host and pathogen processes in infectious diseases. Technical and bioinformatic advances have permitted increasingly thorough analysis of the association of RNA expression with fundamental biology, immunity, pathogenesis, diagnosis, and prognosis. Transcriptomic approaches can now be used to realize a previously unattainable goal, simultaneous study of RNA expression in host and pathogen, in order to better understand their interactions. This exciting prospect is not without challenges, especially as focus moves from interactions in vitro under tightly controlled conditions to tissue-and systemic-level interactions in animal models and natural and experimental infections in humans. Here we review the contribution of transcriptomic studies to the understanding of malaria, a parasitic disease which has exerted a major influence on human evolution and continues to cause a huge global burden of disease. We consider malaria as a paradigm for transcriptomic assessment of systemic host-pathogen interaction in humans, because much of the direct host-pathogen interaction occurs within the blood–a readily sampled compartment of the body. We illustrate lessons learned from transcriptomic studies of malaria, and how these may guide studies of host-pathogen interaction in other infectious diseases. We propose that the potential of transcriptomic studies to improve understanding of malaria as a disease remains partly untapped because of limitations in study design rather than as a consequence of technological constraints. Further advances will require integration of transcriptomic data with analytical approaches from other scientific disciplines including epidemiology and mathematical modelling.
Martinón-Torres F, Salas A, Rivero-Calle I, et al., 2018, Life-threatening infections in children in Europe (the EUCLIDS Project): a prospective cohort study, Lancet Child and Adolescent Health, Vol: 2, Pages: 404-414, ISSN: 2352-4642
Background: Sepsis and severe focal infections represent a substantial disease burden in children admitted to hospital. We aimed to understand the burden of disease and outcomes in children with life-threatening bacterial infections in Europe. Methods: The European Union Childhood Life-threatening Infectious Disease Study (EUCLIDS) was a prospective, multicentre, cohort study done in six countries in Europe. Patients aged 1 month to 18 years with sepsis (or suspected sepsis) or severe focal infections, admitted to 98 participating hospitals in the UK, Austria, Germany, Lithuania, Spain, and the Netherlands were prospectively recruited between July 1, 2012, and Dec 31, 2015. To assess disease burden and outcomes, we collected demographic and clinical data using a secured web-based platform and obtained microbiological data using locally available clinical diagnostic procedures. Findings: 2844 patients were recruited and included in the analysis. 1512 (53·2%) of 2841 patients were male and median age was 39·1 months (IQR 12·4–93·9). 1229 (43·2%) patients had sepsis and 1615 (56·8%) had severe focal infections. Patients diagnosed with sepsis had a median age of 27·6 months (IQR 9·0–80·2), whereas those diagnosed with severe focal infections had a median age of 46·5 months (15·8–100·4; p < 0·0001). Of 2844 patients in the entire cohort, the main clinical syndromes were pneumonia (511 [18·0%] patients), CNS infection (469 [16·5%] ), and skin and soft tissue infection (247 [8·7%]). The causal microorganism was identified in 1359 (47·8%) children, with the most prevalent ones being Neisseria meningitidis (in 259 [9·1%] patients), followed by Staphylococcus aureus (in 222 [7·8%]), Streptococcus pneumoniae (in 219 [7·7%] ), and group A streptococcus (in 162 [5·7%]). 1070 (37·6%) patients required admis
Dunning J, Blankley S, Hoang LT, et al., 2018, Progression of whole-blood transcriptional signatures from interferon-induced to neutrophil-associated patterns in severe influenza, Nature Immunology, Vol: 19, Pages: 625-635, ISSN: 1529-2916
Transcriptional profiles and host-response biomarkers are used increasingly to investigate the severity, subtype and pathogenesis of disease. We now describe whole-blood mRNA signatures and concentrations of local and systemic immunological mediators in 131 adults hospitalized with influenza, from whom extensive clinical and investigational data were obtained by MOSAIC investigators. Signatures reflective of interferon-related antiviral pathways were common up to day 4 of symptoms in patients who did not require mechanical ventilator support; in those who needed mechanical ventilation, an inflammatory, activated-neutrophil and cell-stress or death (‘bacterial’) pattern was seen, even early in disease. Identifiable bacterial co-infection was not necessary for this ‘bacterial’ signature but was able to enhance its development while attenuating the early ‘viral’ signature. Our findings emphasize the importance of timing and severity in the interpretation of host responses to acute viral infection and identify specific patterns of immune-system activation that might enable the development of novel diagnostic and therapeutic tools for severe influenza.
Boeddha NP, Schlapbach LJ, Driessen GJ, et al., 2018, Mortality and morbidity in community-acquired sepsis in European pediatric intensive care units: a prospective cohort study from the European Childhood Life-threatening Infectious Disease Study (EUCLIDS), Critical Care, Vol: 22, ISSN: 1364-8535
BACKGROUND: Sepsis is one of the main reasons for non-elective admission to pediatric intensive care units (PICUs), but little is known about determinants influencing outcome. We characterized children admitted with community-acquired sepsis to European PICUs and studied risk factors for mortality and disability. METHODS: Data were collected within the collaborative Seventh Framework Programme (FP7)-funded EUCLIDS study, which is a prospective multicenter cohort study aiming to evaluate genetic determinants of susceptibility and/or severity in sepsis. This report includes 795 children admitted with community-acquired sepsis to 52 PICUs from seven European countries between July 2012 and January 2016. The primary outcome measure was in-hospital death. Secondary outcome measures were PICU-free days censured at day 28, hospital length of stay, and disability. Independent predictors were identified by multivariate regression analysis. RESULTS: Patients most commonly presented clinically with sepsis without a source (n = 278, 35%), meningitis/encephalitis (n = 182, 23%), or pneumonia (n = 149, 19%). Of 428 (54%) patients with confirmed bacterial infection, Neisseria meningitidis (n = 131, 31%) and Streptococcus pneumoniae (n = 78, 18%) were the main pathogens. Mortality was 6% (51/795), increasing to 10% in the presence of septic shock (45/466). Of the survivors, 31% were discharged with disability, including 24% of previously healthy children who survived with disability. Mortality and disability were independently associated with S. pneumoniae infections (mortality OR 4.1, 95% CI 1.1-16.0, P = 0.04; disability OR 5.4, 95% CI 1.8-15.8, P < 0.01) and illness severity as measured by Pediatric Index of Mortality (PIM2) score (mortality OR 2.8, 95% CI 1.3-6.1, P < 0.01; disability OR 3.4, 95% CI 1.8-6.4, P < 0.001). CONCLUSIONS: Despite wide
Brent AJ, Mugo D, Musyimi R, et al., 2018, Bacteriological diagnosis of childhood TB: a prospective observational study (vol 7, 2017), SCIENTIFIC REPORTS, Vol: 8, ISSN: 2045-2322
Mashbat B, Bellos E, Bidmos F, et al., 2018, Whole exome sequencing identifies BPIFA1 mutation underlying invasive meningococcal disease, Human Genome Meeting 2018, Publisher: BIOMED CENTRAL LTD, ISSN: 1473-9542
Bellos E, Herberg J, Wright V, et al., 2018, The genetic basis of invasive meningococcal disease revealed thorough whole exome sequencing, Human Genome Meeting 2018, Publisher: BioMed Central, ISSN: 1479-7364
BackgroundInvasive meningococcal disease (IMD) is a rare condition affectingchildren and young adults due to infection with Neisseria meningitidis, resulting in meningitis or sepsis. Although the majority of thegeneral population is colonized by N. meningitidis, only a small minority go on to develop IMD, suggesting that those that succumb toinvasive disease may possess an underlying genetic susceptibility.The notion of a genetic contribution to disease manifestation is supported by the finding that patients with congenital complement deficiencies are susceptible to recurrent IMD, yet these conditions arerare. With the aim of identifying other genetic factors underlying IMD, we carried out whole exome sequencing (WES) of approximately 300 IMD patients from an extensive and well characterizedcohort of >2,000 childhood IMD patients.Materials and MethodsThe WES analysis focused on rare variants (MAF<0.01) predicted tohave a detrimental effect on protein function. We undertook analysisof seven multiplex families identifying IBD variants. The rest of theindex cases were analysed as a cohort and put through gene andpathway burden tests to identify any genes/pathways that wereenriched in the collection of patients.ResultsThese analyses revealed a number of patients harbouring mutationsin known primary immunodeficiency genes (approx. 10%) as well asa novel configuration of mutations underlying the complementgenes. Furthermore, novel mutations in the coagulation pathway andmucosal immunity genes were identified and functionally confirmed.ConclusionsThe identification of genes involved in IMD through WES has demonstrated the complex genetic architecture of meningococcal immunityrevealed some novel and unexpected genes/pathways that modulatedisease susceptibility and severity. The results from this studyprovide us with a more comprehensive understanding of IMDpathogenesis.
Brent AJ, Nyundo C, Langat J, et al., 2018, Prospective observational study of incidence and preventable burden of childhood tuberculosis, Kenya, Emerging Infectious Diseases, Vol: 24, Pages: 514-523, ISSN: 1080-6040
Substantial progress has been made in the fight against tuberculosis (TB); however, new approaches are needed to achieve the current target set by the World Health Organization (WHO) to reduce TB incidence to 90% of 2016 levels by 2035 (1). A key element of WHO’s End TB Strategy is the prioritization of preventive treatment (2). However, the preventable burden of childhood TB has not been quantified in prospective epidemiologic studies, and globally, only an estimated 7% of eligible children received isoniazid chemoprophylaxis in 2015 (1).Diagnosis of TB is more challenging in children than in adults (3). In low-resource settings, where TB burden is highest, diagnosis often relies on poorly validated clinical algorithms (4). As a result, adequate surveillance data are lacking, and published estimates of the global childhood TB burden vary widely (1,5–11). High-quality prospective data on the TB burden and case detection rate (CDR) in children are recognized priorities (8,11,12), and population-level data showing the preventable burden of childhood TB might reinforce the public health case for chemoprophylaxis in children. We designed the Kilifi Improving Diagnosis and Surveillance of Childhood TB (KIDS TB) Study to estimate the incidence, CDR, risk factors, and preventable burden of childhood TB in Kenya.
Chen KYH, Messina N, Germano S, et al., 2018, Innate immune responses following Kawasaki disease and toxic shock syndrome, PLOS ONE, Vol: 13, ISSN: 1932-6203
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- Citations: 14
von Both U, Berk M, Agapow P-M, et al., 2018, Mycobacterium tuberculosis Exploits a Molecular Off Switch of the Immune System for Intracellular Survival, Scientific Reports, Vol: 8, ISSN: 2045-2322
Mycobacterium tuberculosis (M. tuberculosis) survives and multiplies inside human macrophages by subversion of immune mechanisms. Although these immune evasion strategies are well characterised functionally, the underlying molecular mechanisms are poorly understood. Here we show that during infection of human whole blood with M. tuberculosis, host gene transcriptional suppression, rather than activation, is the predominant response. Spatial, temporal and functional characterisation of repressed genes revealed their involvement in pathogen sensing and phagocytosis, degradation within the phagolysosome and antigen processing and presentation. To identify mechanisms underlying suppression of multiple immune genes we undertook epigenetic analyses. We identified significantly differentially expressed microRNAs with known targets in suppressed genes. In addition, after searching regions upstream of the start of transcription of suppressed genes for common sequence motifs, we discovered novel enriched composite sequence patterns, which corresponded to Alu repeat elements, transposable elements known to have wide ranging influences on gene expression. Our findings suggest that to survive within infected cells, mycobacteria exploit a complex immune “molecular off switch” controlled by both microRNAs and Alu regulatory elements.
Georgiadou A, Bretscher M, Lee H, et al., 2018, COMBINING RNA-SEQUENCING AND MATHEMATICAL MODELLING TO IDENTIFY MECHANISTIC CORRELATES OF PROTECTION IN MALARIA, 67th Annual Meeting of the American-Society-of-Tropical-Medicine-and-Hygiene (ASTHM), Publisher: AMER SOC TROP MED & HYGIENE, Pages: 27-27, ISSN: 0002-9637
Hemingway C, Berk M, Anderson ST, et al., 2017, Childhood tuberculosis is associated with decreased abundance of T cell gene transcripts and impaired T cell function., PLoS ONE, Vol: 12, ISSN: 1932-6203
The WHO estimates around a million children contract tuberculosis (TB) annually with over 80 000 deaths from dissemination of infection outside of the lungs. The insidious onset and association with skin test anergy suggests failure of the immune system to both recognise and respond to infection. To understand the immune mechanisms, we studied genome-wide whole blood RNA expression in children with TB meningitis (TBM). Findings were validated in a second cohort of children with TBM and pulmonary TB (PTB), and functional T-cell responses studied in a third cohort of children with TBM, other extrapulmonary TB (EPTB) and PTB. The predominant RNA transcriptional response in children with TBM was decreased abundance of multiple genes, with 140/204 (68%) of all differentially regulated genes showing reduced abundance compared to healthy controls. Findings were validated in a second cohort with concordance of the direction of differential expression in both TBM (r2 = 0.78 p = 2x10-16) and PTB patients (r2 = 0.71 p = 2x10-16) when compared to a second group of healthy controls. Although the direction of expression of these significant genes was similar in the PTB patients, the magnitude of differential transcript abundance was less in PTB than in TBM. The majority of genes were involved in activation of leucocytes (p = 2.67E-11) and T-cell receptor signalling (p = 6.56E-07). Less abundant gene expression in immune cells was associated with a functional defect in T-cell proliferation that recovered after full TB treatment (p<0.0003). Multiple genes involved in T-cell activation show decreased abundance in children with acute TB, who also have impaired functional T-cell responses. Our data suggest that childhood TB is associated with an acquired immune defect, potentially resulting in failure to contain the pathogen. Elucidation of the mechanism causing the immune paresis may identify new treatment and prevention strategies.
Gliddon HD, Herberg JA, Levin M, et al., 2017, Genome-wide host RNA signatures of infectious diseases: discovery and clinical translation., Immunology, Vol: 153, Pages: 171-178, ISSN: 0019-2805
The use of whole blood gene expression to derive diagnostic biomarkers capable of distinguishing between phenotypically similar diseases holds great promise but remains a challenge. Differential gene expression analysis is used to identify the key genes that undergo changes in expression relative to healthy individuals, as well as to patients with other diseases. These key genes can act as diagnostic, prognostic and predictive markers of disease. Gene expression 'signatures' in the blood hold potential to be used for the diagnosis of infectious diseases, where current diagnostics are unreliable, ineffective or of limited potential. For diagnostic tests based on RNA signatures to be useful clinically, the first step is to identify the minimum set of gene transcripts that accurately identify the disease in question. The second requirement is rapid and cost effective detection of the gene expression levels. Whilst signatures have been described for a number of infectious diseases, 'clinic-ready' technologies for RNA detection from clinical samples are limited, though existing methods such as reverse transcription-polymerase chain reaction (RT-PCR) are likely to be superseded by a number of emerging technologies, which may form the basis of the translation of gene expression signatures into routine diagnostic tests for a range of disease states.
Kaufmann SHE, Dockrell HM, Drager N, et al., 2017, TBVAC2020: Advancing Tuberculosis Vaccines from Discovery to Clinical Development, Frontiers in Immunology, Vol: 8, ISSN: 1664-3224
TBVAC2020 is a research project supported by the Horizon 2020 program of the European Commission (EC). It aims at the discovery and development of novel tuberculosis (TB) vaccines from preclinical research projects to early clinical assessment. The project builds on previous collaborations from 1998 onwards funded through the EC framework programs FP5, FP6, and FP7. It has succeeded in attracting new partners from outstanding laboratories from all over the world, now totaling 40 institutions. Next to the development of novel vaccines, TB biomarker development is also considered an important asset to facilitate rational vaccine selection and development. In addition, TBVAC2020 offers portfolio management that provides selection criteria for entry, gating, and priority settings of novel vaccines at an early developmental stage. The TBVAC2020 consortium coordinated by TBVI facilitates collaboration and early data sharing between partners with the common aim of working toward the development of an effective TB vaccine. Close links with funders and other consortia with shared interests further contribute to this goal.
Shimizu C, Kim J, Eleftherohorinou H, et al., 2017, Genetic Variants in HLA-C and Class I Pathway Genes Influence Susceptibility to Kawasaki Disease, 2017 ACR/ARHP Annual Meeting, Publisher: Wiley, ISSN: 2326-5205
de Pablo P, Romaguera D, Fisk H, et al., 2017, High Erythrocyte Levels of the n-6 Polyunsaturated Fatty Acid Linoleic Acid Are Associated with Lower Risk of Subsequent Rheumatoid Arthritis in a Southern European Nested Case-Control Study, 2017 ACR/ARHP Annual Meeting, Publisher: WILEY, ISSN: 2326-5191
Brent AJ, Mugo D, Musyimi R, et al., 2017, Bacteriological diagnosis of childhood TB: a prospective observational study, SCIENTIFIC REPORTS, Vol: 7, ISSN: 2045-2322
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- Citations: 9
Dietz SM, van Stijn D, Burgner D, et al., 2017, Dissecting Kawasaki disease: a state-of-the-art review, EUROPEAN JOURNAL OF PEDIATRICS, Vol: 176, Pages: 995-1009, ISSN: 0340-6199
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- Citations: 103
Kaforou M, Herberg JA, Wright VJ, et al., 2017, Diagnosis of bacterial infection using a 2-transcript host RNA signature in febrile infants 60 days or younger, JAMA: Journal of the American Medical Association, Vol: 317, Pages: 1577-1578, ISSN: 0098-7484
Israel L, Wang Y, Bulek K, et al., 2017, Human Adaptive Immunity Rescues an Inborn Error of Innate Immunity, CELL, Vol: 168, Pages: 789-800, ISSN: 0092-8674
The molecular basis of the incomplete penetrance of monogenic disorders is unclear. We describe here eight related individuals with autosomal recessive TIRAP deficiency. Life-threatening staphylococcal disease occurred during childhood in the proband, but not in the other seven homozygotes. Responses to all Toll-like receptor 1/2 (TLR1/2), TLR2/6, and TLR4 agonists were impaired in the fibroblasts and leukocytes of all TIRAP-deficient individuals. However, the whole-blood response to the TLR2/6 agonist staphylococcal lipoteichoic acid (LTA) was abolished only in the index case individual, the only family member lacking LTA-specific antibodies (Abs). This defective response was reversed in the patient, but not in interleukin-1 receptor-associated kinase 4 (IRAK-4)-deficient individuals, by anti-LTA monoclonal antibody (mAb). Anti-LTA mAb also rescued the macrophage response in mice lacking TIRAP, but not TLR2 or MyD88. Thus, acquired anti-LTA Abs rescue TLR2-dependent immunity to staphylococcal LTA in individuals with inherited TIRAP deficiency, accounting for incomplete penetrance. Combined TIRAP and anti-LTA Ab deficiencies underlie staphylococcal disease in this patient.
Walker J, Peters M, Nadel S, et al., 2016, THE ABILITY OF SEPSIS CRITERIA TO PREDICT SERIOUS BACTERIAL INFECTION IN CRITICALLY ILL CHILDREN, 46th Critical Care Congress of the Society-of-Critical-Care-Medicine, Publisher: LIPPINCOTT WILLIAMS & WILKINS, ISSN: 0090-3493
Shimizu C, Eleftherohorinou H, Wright VJ, et al., 2016, Genetic variation in the SLC8A1 calcium signaling pathway is associated with susceptibility to Kawasaki disease and coronary artery abnormalities, Circulation. Cardiovascular Genetics, Vol: 9, Pages: 559-568, ISSN: 1942-3268
BACKGROUND: -Kawasaki disease (KD) is an acute pediatric vasculitis in which host genetics influence both susceptibility to KD and the formation of coronary artery aneurysms. Variants discovered by genome-wide association studies (GWAS) and linkage studies only partially explain the influence of genetics on KD susceptibility. METHODS AND RESULTS: -To search for additional functional genetic variation, we performed pathway and gene stability analysis on a GWAS dataset. Pathway analysis using European GWAS data identified 100 significantly associated pathways (p< 5 ×10(-4)). Gene stability selection identified 116 single nucleotide polymorphisms (SNPs) in 26 genes that were responsible for driving the pathway associations and gene ontology analysis demonstrated enrichment for calcium transport (p=1.05 ×10(-4)). Three SNPs in solute carrier family 8 member 1 (SLC8A1), a sodium/calcium exchanger encoding NCX1, were validated in an independent Japanese GWAS dataset (metaanalysis p=0.0001). Patients homozygous for the A (risk) allele of rs13017968 had higher rates of coronary artery abnormalities (p=0.029). NCX1, the protein encoded by SLC8A1, was expressed in spindle-shaped and inflammatory cells in the aneurysm wall. Increased intracellular calcium mobilization was observed in B cell lines from healthy controls carrying the risk allele. CONCLUSIONS: -Pathway-based association analysis followed by gene stability selection proved to be a valuable tool for identifying risk alleles in a rare disease with complex genetics. The role of SLC8A1 polymorphisms in altering calcium flux in cells that mediate coronary artery damage in KD suggests that this pathway may be a therapeutic target and supports the study of calcineurin inhibitors in acute KD.
Martinón-Torres F, Png E, Khor CC, et al., 2016, Natural resistance to Meningococcal Disease related to CFH loci: Meta-analysis of genome-wide association studies, Scientific Reports, Vol: 6, ISSN: 2045-2322
Meningococcal disease (MD) remains an important infectious cause of life threatening infection in both industrialized and resource poor countries. Genetic factors influence both occurrence and severity of presentation, but the genes responsible are largely unknown. We performed a genome-wide association study (GWAS) examining 5,440,063 SNPs in 422 Spanish MD patients and 910 controls. We then performed a meta-analysis of the Spanish GWAS with GWAS data from the United Kingdom (combined cohorts: 897 cases and 5,613 controls; 4,898,259 SNPs). The meta-analysis identified strong evidence of association (P-value ≤ 5 × 10(-8)) in 20 variants located at the CFH gene. SNP rs193053835 showed the most significant protective effect (Odds Ratio (OR) = 0.62, 95% confidence interval (C.I.) = 0.52-0.73; P-value = 9.62 × 10(-9)). Five other variants had been previously reported to be associated with susceptibility to MD, including the missense SNP rs1065489 (OR = 0.64, 95% C.I.) = 0.55-0.76, P-value = 3.25 × 10(-8)). Theoretical predictions point to a functional effect of rs1065489, which may be directly responsible for protection against MD. Our study confirms the association of CFH with susceptibility to MD and strengthens the importance of this link in understanding pathogenesis of the disease.
Herberg JA, Kaforou M, Wright VJ, et al., 2016, Diagnostic Test Accuracy of a 2-Transcript Host RNA Signature for Discriminating Bacterial vs Viral Infection in Febrile Children, Journal of the American Medical Association, Vol: 316, Pages: 835-845, ISSN: 0002-9955
IMPORTANCE: Because clinical features do not reliably distinguish bacterial from viral infection, many children worldwide receive unnecessary antibiotic treatment, while bacterial infection is missed in others. OBJECTIVE: To identify a blood RNA expression signature that distinguishes bacterial from viral infection in febrile children. DESIGN, SETTING, AND PARTICIPANTS: Febrile children presenting to participating hospitals in the United Kingdom, Spain, the Netherlands, and the United States between 2009-2013 were prospectively recruited, comprising a discovery group and validation group. Each group was classified after microbiological investigation as having definite bacterial infection, definite viral infection, or indeterminate infection. RNA expression signatures distinguishing definite bacterial from viral infection were identified in the discovery group and diagnostic performance assessed in the validation group. Additional validation was undertaken in separate studies of children with meningococcal disease (n = 24) and inflammatory diseases (n = 48) and on published gene expression datasets. EXPOSURES: A 2-transcript RNA expression signature distinguishing bacterial infection from viral infection was evaluated against clinical and microbiological diagnosis. MAIN OUTCOMES AND MEASURES: Definite bacterial and viral infection was confirmed by culture or molecular detection of the pathogens. Performance of the RNA signature was evaluated in the definite bacterial and viral group and in the indeterminate infection group. RESULTS: The discovery group of 240 children (median age, 19 months; 62% male) included 52 with definite bacterial infection, of whom 36 (69%) required intensive care, and 92 with definite viral infection, of whom 32 (35%) required intensive care. Ninety-six children had indeterminate infection. Analysis of RNA expression data identified a 38-transcript signature distinguishing bacterial from viral infection. A smaller
Mcdonald J, Kaforou M, Clare S, et al., 2016, A Simple Screening Approach To Prioritize Genes for Functional Analysis Identifies a Role for Interferon Regulatory Factor 7 in the Control of Respiratory Syncytial Virus Disease, mSystems, Vol: 1, ISSN: 2379-5077
Greater understanding of the functions of host gene products in response to infection is required. While many of these genes enable pathogen clearance, some enhance pathogen growth or contribute to disease symptoms. Many studies have profiled transcriptomic and proteomic responses to infection, generating large data sets, but selecting targets for further study is challenging. Here we propose a novel data-mining approach combining multiple heterogeneous data sets to prioritize genes for further study by using respiratory syncytial virus (RSV) infection as a model pathogen with a significant health care impact. The assumption was that the more frequently a gene is detected across multiple studies, the more important its role is. A literature search was performed to find data sets of genes and proteins that change after RSV infection. The data sets were standardized, collated into a single database, and then panned to determine which genes occurred in multiple data sets, generating a candidate gene list. This candidate gene list was validated by using both a clinical cohort and in vitro screening. We identified several genes that were frequently expressed following RSV infection with no assigned function in RSV control, including IFI27, IFIT3, IFI44L, GBP1, OAS3, IFI44, and IRF7. Drilling down into the function of these genes, we demonstrate a role in disease for the gene for interferon regulatory factor 7, which was highly ranked on the list, but not for IRF1, which was not. Thus, we have developed and validated an approach for collating published data sets into a manageable list of candidates, identifying novel targets for future analysis.
Levin M, Kaforou M, 2016, Predicting active tuberculosis progression by RNA analysis, Lancet, Vol: 387, Pages: 2268-2270, ISSN: 0140-6736
Stevens MM, Gliddon H, Howes P, et al., 2016, A nucleic acid strand displacement system for the multiplexed detection of tuberculosis-specific mRNA using quantum dots, Nanoscale, Vol: 8, Pages: 10087-10095, ISSN: 2040-3372
The development of rapid, robust and high performance point-of-care diagnostics relies on the advancement and combination of various areas of research. We have developed an assay for the detection of multiple mRNA molecules that combines DNA nanotechnology with fluorescent nanomaterials. The core switching mechanism is toehold-mediated strand displacement. We have used fluorescent quantum dots (QDs) as signal transducers in this assay, as they bring many benefits including bright fluorescence and multiplexing abilities. The resulting assay is capable of multiplexed detection of long RNA targets against a high concentration background of non-target RNAs, with high sensitivity and specificity and limits of detection in the nanomolar range using only a standard laboratory plate reader. We demonstrate the utility of our QD-based system for the detection of two genes selected from a microarray-derived tuberculosis-specific gene expression signature. Levels of up- and downregulated gene transcripts comprising this signature can be combined to give a disease risk score, making the signature more amenable for use as a diagnostic marker. Our QD-based approach to detect these transcripts could pave the way for novel diagnostic assays for tuberculosis.
Seaby EG, Wright VJ, Levin M, 2016, Genome-wide association studies in infectious diseases., Pediatric Infectious Disease Journal, Vol: 35, Pages: 802-804, ISSN: 1532-0987
Gliddon H, Howes P, Kim E, et al., 2016, Engineering a novel diagnostic test for tuberculosis using nanoparticle-based detection of a whole blood gene expression signature, Publisher: AMER CHEMICAL SOC, ISSN: 0065-7727
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