The perils of untimed serum cortisol measurement.
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Addison Disease↗
Biomedical subjects
N Petrovsky
Publications and source records attributed to N Petrovsky.
Development of a nasal vaccine for chronic hepatitis B infection that uses the ability of hepatitis B core antigen to stimulate a strong Th1 response against hepatitis B surface antigen.
There are estimated to be 350 million chronic carriers of hepatitis B infection worldwide. Patients with chronic hepatitis B are at risk of liver cirrhosis with associated mortality because of hepatocellular carcinoma and other complications. An important goal, therefore, is the development of an effective therapeutic vaccine against chronic hepatitis B virus (HBV). A major barrier to the development of such a vaccine is the impaired immune response to HBV antigens observed in the T cells of affected patients. One strategy to overcome these barriers is to activate mucosal T cells through the use of nasal vaccination because this may overcome the systemic immune downregulation that results from HBV infection. In addition, it may be beneficial to present additional HBV epitopes beyond those contained in the traditional hepatitis B surface antigen (HbsAg) vaccine, for example, by using the hepatitis B core antigen (HBcAg). This is advantageous because HBcAg has a unique ability to act as a potent Th1 adjuvant to HbsAg, while also serving as an immunogenic target. In this study we describe the effect of coadministration of HBsAg and HBcAg as part of a strategy to develop a more potent and effective HBV therapeutic vaccine.
Administration, Intranasal↗
Systematic genome-wide approach to positional candidate cloning for identification of novel human disease genes.
BACKGROUND: Recent large-scale genome projects afford a unique opportunity to identify many novel disease genes and thereby better understand the genetic basis of human disease. Functional Annotation of Mouse (FANTOM) 2, the largest mouse transcriptome project yet, provides a wealth of data on novel genes, splice variants and non-coding RNA, and provides a unique opportunity to identify novel human disease genes. AIMS: To demonstrate the power of combining the FANTOM 2 cDNA dataset with a positional candidate approach and bioinformatics analysis to identify genes underlying human genetic disease. RESULTS: By mapping all FANTOM 2 cDNA to the human genome, we were able to identify mouse clones that co-localised on the human genome with mapped but uncloned human disease loci. By this method we identified mouse and corresponding human genes mapping within the loci of 100 different human genetic diseases (mapped interval of <5 cM). Of particular interest was the elucidation through FANTOM 2 novel mouse gene data of candidate human genes for the following: (i) developmental -disorders: neural tube defect, Meckel syndrome, Wolf--Hirschhorn syndrome and keratosis follicularis spinulosa decalvans cum ophiasi; (ii) neurological disorders: benign familial infantile convulsions 3, early-onset cerebellar ataxia with retained tendon reflexes, infantile-onset spinocerebellar ataxia and vacuolar neuro-myopathy and (iii) cancer-related syndromes: tylosis with oesophageal cancer and low-grade B-cell chronic lymphatic leukaemia. CONCLUSIONS: The FANTOM 2 data will dramatically accelerate efforts to identify genes underlying human disease. It will also facilitate the creation of transgenic mouse models to help elucidate the function of potential human disease genes.
Animals↗
Computational tools for the study of allergens.
Allergy is a major cause of morbidity worldwide. The number of characterized allergens and related information is increasing rapidly creating demands for advanced information storage, retrieval and analysis. Bioinformatics provides useful tools for analysing allergens and these are complementary to traditional laboratory techniques for the study of allergens. Specific applications include structural analysis of allergens, identification of B- and T-cell epitopes, assessment of allergenicity and cross-reactivity, and genome analysis. In this paper, the most important bioinformatic tools and methods with relevance to the study of allergy have been reviewed.
Allergens↗
Allergen databases.
Allergies represent a significant medical and industrial problem. Molecular and clinical data on allergens are growing exponentially and in this article we have reviewed nine specialized allergen databases and identified data sources related to protein allergens contained in general purpose molecular databases. An analysis of allergens contained in public databases indicates a high level of redundancy of entries and a relatively low coverage of allergens by individual databases. From this analysis we identify current database needs for allergy research and, in particular, highlight the need for a centralized reference allergen database.
Allergens↗
The role of endoplasmic reticulum stress in nonimmune diabetes: NOD.k iHEL, a novel model of beta cell death.
The final common pathway in diabetes development is beta cell apoptosis. We herein describe a novel diabetes model based on transgenic NOD.k iHEL mice, wherein male mice develop diabetes due to nonimmune-mediated beta cell death. Histology and electron microscopy confirm endoplasmic reticulum (ER) abnormalities that are consistent with endoplasmic stress caused by the HEL transgene. The NOD.k iHEL model may be particularly useful for studying mechanisms of beta cell death secondary to ER stress and also for testing potential therapies designed to protect beta cells from stress-induced apoptosis. The observation that only male NOD.k iHEL mice develop diabetes and exhibit ER abnormalities is intriguing and suggests these mice may be useful in deciphering the link between hyperandrogenism, insulin resistance, and diabetes.
Animals↗
Prevention of autoimmune diabetes through immunostimulation with Q fever complement-fixing antigen.
The most promising strategies for prevention of type 1 diabetes seem to be in the categories of immunomodulation (e.g., nondepleting anti-CD3, Diapep, linomide) and/or immunostimulation (e.g., QFA, BCG). We are currently undertaking a research program directed toward better understanding of immunostimulants to help maximize the likelihood of success of future human clinical trials for diabetes prevention. This program is focused on the key areas of optimization of vaccine dose and route of administration, development of surrogate immune markers, and elucidation of the mechanism of protection. The mechanism whereby QFA protects against diabetes currently is not known. The elucidation of the mechanism should help identify the optimal way in which to administer QFA to provide diabetes protection. It may also assist the development of even more potent immunostimulatory vaccines.
Animals↗
Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs.
Only a small proportion of the mouse genome is transcribed into mature messenger RNA transcripts. There is an international collaborative effort to identify all full-length mRNA transcripts from the mouse, and to ensure that each is represented in a physical collection of clones. Here we report the manual annotation of 60,770 full-length mouse complementary DNA sequences. These are clustered into 33,409 'transcriptional units', contributing 90.1% of a newly established mouse transcriptome database. Of these transcriptional units, 4,258 are new protein-coding and 11,665 are new non-coding messages, indicating that non-coding RNA is a major component of the transcriptome. 41% of all transcriptional units showed evidence of alternative splicing. In protein-coding transcripts, 79% of splice variations altered the protein product. Whole-transcriptome analyses resulted in the identification of 2,431 sense-antisense pairs. The present work, completely supported by physical clones, provides the most comprehensive survey of a mammalian transcriptome so far, and is a valuable resource for functional genomics.
Alternative Splicing↗
The role of Fas ligand in beta cell destruction in autoimmune diabetes of NOD mice.
Fas ligand (FasL), a type 2 membrane protein belonging to the TNF family, plays an important role in the induction of cell death. Ligation of Fas receptors by FasL results in apoptosis of the Fas-expressing cell. Autoimmune diabetes results from beta cell destruction by islet-reactive T cells, a process that involves beta cell apoptosis. This raises the question of whether the FasL-Fas pathway plays a major role in beta cell death. To address this issue it is important to know whether beta cells express Fas and/or FasL and, if so, whether induction of these molecules leads to beta cell death. In fact, both Fas and FasL have been demonstrated to be expressed by beta cells in response to cytokine stimulation, although there remains an argument in the literature as to whether beta cells truly express FasL. This is largely because FasL expression has only been demonstrable by immunohistochemistry and not by flow cytometry. Transgenic NOD mice with beta cells expressing a FasL transgene develop an accelerated form of diabetes. We show here that beta cells from FasL transgenic NOD mice are more susceptible to cytokine-induced apoptosis than wild-type beta cells, consistent with the hypothesis that if beta cells express FasL then Fas-FasL interaction on the beta cell surface is able to mediate beta cell self-death in the absence of T cells. Interventions that block the Fas-FasL pathway may be useful, therefore, in the prevention or treatment of type 1 diabetes.
Animals↗
Response of serum macrophage migration inhibitory factor levels to stimulation or suppression of the hypothalamo-pituitary-adrenal axis in normal subjects and patients with Cushing's disease.
Macrophage migration inhibitory factor (MIF) is a proinflammatory pituitary and immune cell cytokine and a critical mediator of septic shock. It has been reported that MIF is secreted in parallel with ACTH from the pituitary in response to stress or inflammatory stimuli. MIF release from immune cells is also induced rather than inhibited by glucocorticoids. It has therefore been suggested that MIF may be a novel counterregulatory hormone of glucocorticoid action that acts both as a paracrine and endocrine modulator of host responses. We have measured circulating MIF levels, using a human MIF ELISA, in normal subjects and patients under numerous pathophysiological conditions. Serum MIF was measured in normal subjects who underwent stimulation of the hypothalamo-pituitary-adrenal axis with an insulin tolerance test (n = 8), a CRH-stimulation test (n = 5), a short synacthen test (n = 5), and following a low-dose dexamethasone suppression test (n = 6). We also sampled from a peripheral vein and both inferior petrosal sinuses before and after CRH stimulation in four patients with a histologically proven diagnosis of Cushing's disease. Immunostaining of the pituitary tumors for MIF was also performed. In normal subjects serum MIF levels did not rise in parallel with cortisol during the insulin tolerance or CRH test or after administration of synthetic ACTH. In all subjects cortisol levels became undetectable after the low-dose dexamethasone suppression test, and no consistent change was observed in serum MIF levels during the test. In patients with Cushing's disease, there was no basal central-to-peripheral gradient in MIF, and no consistent changes occurred in serum MIF levels in either the left or right inferior petrosal sinus after CRH stimulation; however, immunostaining of the surgically removed pituitary tumors from the same patients showed strong staining for both ACTH and MIF. These results show that in humans acute modulation of the hypothalamo-pituitary-adrenal axis does not significantly alter circulating MIF levels. In addition, ACTH-secreting pituitary tumors that express MIF do not release MIF either spontaneously or in response to CRH stimulation, and there is no gradient for MIF in the venous drainage of the pituitary. Our study suggests that the pituitary gland is not the major contributor to circulating MIF; an autocrine or paracrine role for pituitary-derived MIF is more likely.
Adrenocorticotropic Hormone↗
Efficient discovery of immune response targets by cyclical refinement of QSAR models of peptide binding.
Peptides that induce and recall T-cell responses are called T-cell epitopes. T-cell epitopes may be useful in a subunit vaccine against malaria. Computer models that simulate peptide binding to MHC are useful for selecting candidate T-cell epitopes since they minimize the number of experiments required for their identification. We applied a combination of computational and immunological strategies to select candidate T-cell epitopes. A total of 86 experimental binding assays were performed in three rounds of identification of HLA-A11 binding peptides from the six preerythrocytic malaria antigens. Thirty-six peptides were experimentally confirmed as binders. We show that the cyclical refinement of the ANN models results in a significant improvement of the efficiency of identifying potential T-cell epitopes.
Animals↗
Towards a unified model of neuroendocrine-immune interaction.
Although the neuroendocrine system has immunomodulating potential, studies examining the relationship between stress, immunity and infection have, until recently, largely been the preserve of behavioural psychologists. Over the last decade, however, immunologists have begun to increasingly appreciate that neuroendocrine-immune interactions hold the key to understanding the complex behaviour of the immune system in vivo. The nervous, endocrine and immune systems communicate bidirectionally via shared messenger molecules variously called neurotransmitters, cytokines or hormones. Their classification as neurotransmitters, cytokines or hormones is more serendipity than a true reflection of their sphere of influence. Rather than these systems being discrete entities we would propose that they constitute, in reality, a single higher-order entity. This paper reviews current knowledge of neuroendocrine-immune interaction and uses the example of T-cell subset differentiation to show the previously under-appreciated importance of neuroendocrine influences in the regulation of immune function and, in particular, Th1/Th2 balance and diurnal variation there of.
Animals↗
Molecular immunology databases and data repositories.
Over recent years databases have become an extremely important resource for biomedical research. Immunology research is increasingly dependent on access to extensive biological databases to extract existing information, plan experiments, and analyse experimental results. This review describes 15 immunological databases that have appeared over the last 30 years. In addition, important issues regarding database design and the potential for misuse of information contained within these databases are discussed. Access pointers are provided for the major immunological databases and also for a number of other immunological resources accessible over the World Wide Web (WWW).
Allergy and Immunology↗
Macrophage migration inhibitory factor (MIF). A critical neurohumoral mediator.
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Animals↗
A neural network model approach to the study of human TAP transporter.
We used an artificial neural network (ANN) computer model to study peptide binding to the human transporter associated with antigen processing (TAP). After validation, an ANN model of TAP-peptide binding was used to mine a database of HLA-binding peptides to elucidate patterns of TAP binding. The affinity of HLA-binding peptides for TAP was found to differ according to the HLA supertype concerned: HLA-B27, -A3 or -A24 binding peptides had high, whereas HLA-A2, -B7 or -B8 binding peptides had low affinity for TAP. These results support the idea that TAP and particular HLA molecules may have co-evolved for efficient peptide processing and presentation. The strong similarity between the sets of peptides bound by TAP or HLA-B27 suggests functional co-evolution whereas the lack of a relationship between the sets of peptides bound by TAP or HLA-A2 is against these particular molecules having co-evolved. In support of these conclusions, the affinities of HLA-A2 and HLA-B7 binding peptides for TAP show similar distributions to that of randomly generated peptides. On the basis of these results we propose that HLA alleles constitute two separate classes: those that are TAP-efficient for peptide loading (HLA-B27, -A3 and -A24) and those that are TAP-inefficient (HLA-A2, -B7 and -B8). Computer modelling can be used to complement laboratory experiments and thereby speed up knowledge discovery in biology. In particular, we provide evidence that large-scale experiments can be avoided by combining initial experimental data with limited laboratory experiments sufficient to develop and validate appropriate computer models. These models can then be used to perform large-scale simulated experiments the results of which can then be validated by further small-scale laboratory experiments.
ATP Binding Cassette Transporter, Subfamily B, Mem↗
Relationship between peptide selectivities of human transporters associated with antigen processing and HLA class I molecules.
Efficiency of presentation of a peptide epitope by a MHC class I molecule depends on two parameters: its binding to the MHC molecule and its generation by intracellular Ag processing. In contrast to the former parameter, the mechanisms underlying peptide selection in Ag processing are poorly understood. Peptide translocation by the TAP transporter is required for presentation of most epitopes and may modulate peptide supply to MHC class I molecules. To study the role of human TAP for peptide presentation by individual HLA class I molecules, we generated artificial neural networks capable of predicting the affinity of TAP for random sequence 9-mer peptides. Using neural network-based predictions of TAP affinity, we found that peptides eluted from three different HLA class I molecules had higher TAP affinities than control peptides with equal binding affinities for the same HLA class I molecules, suggesting that human TAP may contribute to epitope selection. In simulated TAP binding experiments with 408 HLA class I binding peptides, HLA class I molecules differed significantly with respect to TAP affinities of their ligands. As a result, some class I molecules, especially HLA-B27, may be particularly efficient in presentation of cytosolic peptides with low concentrations, while most class I molecules may predominantly present abundant cytosolic peptides.
ATP-Binding Cassette Transporters↗
Diurnal rhythms of pro-inflammatory cytokines: regulation by plasma cortisol and therapeutic implications.
Clinical features of certain immuno-inflammatory disorders such as rheumatoid arthritis and asthma exhibit diurnal fluctuation, which could be related to diurnal rhythmicity of pro-inflammatory cytokine production. To investigate the latter, the authors performed measurements of lipopolysaccharide (LPS)-stimulated whole blood, interferon gamma (IFN-gamma), tumour necrosis factor alpha (TNF-alpha), interleukin 1 (IL-1) and IL-12 production in 13 healthy volunteers over 24 h. These cytokines exhibited distinct diurnal rhythms that peaked in the early morning and were inversely related to the rhythm of plasma cortisol. Elevation of plasma cortisol within the physiological range by administration of cortisone acetate, 25 mg at 21.00, markedly suppressed IFN-gamma, TNF-alpha, IL-1 and IL-12 production, but not the later early morning rise of endogenous plasma cortisol. Suppression of cytokine production was temporally dissociated from changes in numbers of circulating mononuclear cells. Regulation of pro-inflammatory cytokine production by plasma cortisol has potential therapeutic implications. In contrast to standard schedules, a small, late evening, dose of glucocorticoid to suppress the diurnal increase in pro-inflammatory cytokine production could alleviate early morning inflammatory symptoms and minimize side-effects.
Adult↗
The chronobiology of human cytokine production.
Cytokine production in human whole blood exhibits diurnal rhythmicity. Peak production of the pro-inflammatory cytokines IFN-gamma, TNF-alpha, IL-1 and IL-12 occurs during the night and early morning at a time when plasma cortisol is lowest. The existence of a causal relationship between plasma cortisol and production is suggested by the finding that elevation of plasma cortisol within the physiological range by the administration of cortisone acetate results in a corresponding fall in pro-inflammatory cytokine production. Cortisol may not be the only neuroendocrine hormone that entrains cytokine rhythms; other candidates include 17-hydroxy progesterone, melatonin and dihydroepiandrostene dione (DHEAS). The finding of diurnal cytokine rhythms may be relevant to understanding why immuno-inflammatory disorders such as rheumatoid arthritis or asthma exhibit night-time or early morning exacerbations and to the optimisation of treatment for these disorders. Diurnal rhythmicity of cytokine production also has implications for the timing of blood samples drawn for diagnostic T-cell assays. Finally, diurnal rhythmicity of immune function suggests that the nature of an immune response, for example in response to vaccination, may be modified by the time of day of antigen administration and raises the possibility that immune responses could be therapeutically manipulated by co-administration of immuno-regulatory hormones such as glucocorticoids.
Animals↗