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Immune responses accelerate ageing: proof-of-principle in an insect model.

ABSTRACT: The pathology of many of the world's most important infectious diseases is caused by the immune response. Additionally age-related disease is often attributed to inflammatory responses. Consequently a reduction in infections and hence inflammation early in life has been hypothesized to explain the rise in lifespan in industrialized societies. Here we demonstrate experimentally for the first time that eliciting an immune response early in life accelerates ageing. We use the beetle Tenebrio molitor as an inflammation model. We provide a proof of principle for the effects of early infection on morbidity late in life and demonstrate a long-lasting cost of immunopathology. Along with presenting a proof-of-principle study, we discuss a mechanism for the apparently counter-adaptive persistence of immunopathology in natural populations. If immunopathology from early immune response only becomes costly later in life, natural selection on reducing self-harm would be relaxed, which could explain the presence of immune self-harm in nature.

SUBMITTER: Pursall ER

PROVIDER: S-EPMC3097213 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Immune responses accelerate ageing: proof-of-principle in an insect model.

Pursall E Rhiannon ER Rolff Jens J

PloS one 20110518 5

The pathology of many of the world's most important infectious diseases is caused by the immune response. Additionally age-related disease is often attributed to inflammatory responses. Consequently a reduction in infections and hence inflammation early in life has been hypothesized to explain the rise in lifespan in industrialized societies. Here we demonstrate experimentally for the first time that eliciting an immune response early in life accelerates ageing. We use the beetle Tenebrio molito ...[more]

PMID: 21625631

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Project description:INTRODUCTION:Dehydroepiandrosterone (DHEA) has been proposed to improve pregnancy rates in women with diminished ovarian reserve undergoing in vitro fertilisation (IVF) treatment. However, evidence regarding its efficacy is supported by a limited number of randomised controlled trials (RCTs). This double-blinded RCT aims to measure the effect of DHEA supplementation prior to and during controlled ovarian hyperstimulation on ovarian response prior to IVF treatment in women predicted to have poor ovarian reserve. METHODS AND ANALYSIS:Sixty women with ovarian antral follicle count ?10 and serum anti-Mullerian hormone ?5 pmol/L undergoing IVF/intracytoplasmic sperm injection (ICSI) treatment at the Nurture fertility clinic, Nottingham will be recruited. They will be randomised to either receive DHEA capsule 75?mg/day or placebo for at least 12?weeks before egg collection. All participants will undergo standard long down regulation protocol using human menopausal gonadotropin 300?IU/day. Serum samples and follicular fluids at the time of egg collection will be collected for hormonal immunoassays. For ICSI participants, cumulus cells stripped from oocyte will be collected for cumulus gene expression analyses regarding oocyte competence. Microdrops of oocyte culture media before the time of ICSI will be assessed for glucose, pyruvate and lactate utilisation. Embryo transfer will be performed on day 2, 3 or 5 based on the number and quality of the embryos available. Pregnancy will be defined as urine pregnancy test positive (biochemical pregnancy) and 6-8?weeks ultrasound scan with fetal heart beat (clinical pregnancy) and live birth. It is planned to perform the molecular and nutritional fingerprint analyses in batches after finishing the clinical phase of the study. ETHICS AND DISSEMINATION:The approval of the study was granted by the NHS Research Ethics Committee (Ref number NRES 12/EM/0002), the Medicines and Healthcare products Regulatory Agency (MHRA), and the Nottingham University Hospitals Trust Research and Development department. All participants shall provide written informed consent before being randomised into allocated treatment groups. TRIAL REGISTRATION NUMBER:Protocol V.2.0; EudraCT number: 2011-002425-21; http://www.clinicaltrials.gov; NCT01572025; CTA reference: 03057/0053/001-0002.

Project description:The accurate diagnosis of idiopathic pulmonary fibrosis (IPF) is a major clinical challenge. We developed a model to diagnose IPF by applying Bayesian probit regression (BPR) modelling to gene expression profiles of whole lung tissue.Whole lung tissue was obtained from patients with idiopathic pulmonary fibrosis (IPF) undergoing surgical lung biopsy or lung transplantation. Controls were obtained from normal organ donors. We performed cluster analyses to explore differences in our dataset. No significant difference was found between samples obtained from different lobes of the same patient. A significant difference was found between samples obtained at biopsy versus explant. Following preliminary analysis of the complete dataset, we selected three subsets for the development of diagnostic gene signatures: the first signature was developed from all IPF samples (as compared to controls); the second signature was developed from the subset of IPF samples obtained at biopsy; the third signature was developed from IPF explants. To assess the validity of each signature, we used an independent cohort of IPF and normal samples. Each signature was used to predict phenotype (IPF versus normal) in samples from the validation cohort. We compared the models' predictions to the true phenotype of each validation sample, and then calculated sensitivity, specificity and accuracy.Surprisingly, we found that all three signatures were reasonably valid predictors of diagnosis, with small differences in test sensitivity, specificity and overall accuracy.This study represents the first use of BPR on whole lung tissue; previously, BPR was primarily used to develop predictive models for cancer. This also represents the first report of an independently validated IPF gene expression signature. In summary, BPR is a promising tool for the development of gene expression signatures from non-neoplastic lung tissue. In the future, BPR might be used to develop definitive diagnostic gene signatures for IPF, prognostic gene signatures for IPF or gene signatures for other non-neoplastic lung disorders such as bronchiolitis obliterans.

Project description:In this work we demonstrate a novel method of methylation detection that utilises immunoaffinity to detect the presence of methylated DNA hybridised to a cDNA microarray. We use a monoclonal antibody specific to 5 methylcytosine to detect the presence of 5 methylcytosine in genomic DNA from human fibroblasts bearing the karyotype 45 XO. We report that over 2900 genes show the presence of methylation in this condition. We also report that 165 genes are consistently methylated in all replicates of these experiments. The methylated genes show a uniform distribution over all the chromosomes. The gene ontology of these also indicates no functional correlation between the genes that are methylated. We detect the presence of methylation in IGF2, an imprinted gene and thus known to harbour DNA methylation. The method is extremely specific and offers a quick and efficient way to analyse the methylation landscape on a high throughput scale. This method uses existing technology to assess methylation and thus can integrate very efficiently into any platform used. A method that detects DNA methylation that is not restricted to specific sequences would provide a useful platform to analyse methylation distribution among the genes in any given phenotypic condition.Availability of additional approaches to examine DNA methylation would lead to increase in our understanding of the methylome and would help define the intrinsic and extrinsic factors which govern it. Microarray based high throughput methods have been extensively used for gene expression analysis. The method described uses a microarray to analyse DNA methylation levels in a gene/cDNA/oligo specific manner. Here, genomic DNA is fragmented and used for hybridization to microarray slides. The presence of DNA cytosine methylation in the hybridized DNA is detected by employing Cy3 labelled anti 5mC( 5-methyl cytidine) antibody (monoclonal). The resolution provided by this method is dependent upon the microarray platform used. This method can be adapted to any platform thus enabling seamless integration with existing technology of gene expression analysis

Dataset Information

Immune responses accelerate ageing: proof-of-principle in an insect model.

Publications

Immune responses accelerate ageing: proof-of-principle in an insect model.

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