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Dive into the research topics where Leonard C. Harrison is active.

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Featured researches published by Leonard C. Harrison.


Journal of Clinical Investigation | 1991

Essential role for interferon-gamma and interleukin-6 in autoimmune insulin-dependent diabetes in NOD/Wehi mice.

Iain L. Campbell; Thomas W. H. Kay; L. Oxbrow; Leonard C. Harrison

Experimental studies in vitro suggest that cytokines are important mediators in the pathogenesis of autoimmune insulin-dependent diabetes mellitus (IDDM). However, there is little evidence for the role of cytokines in vivo, either in humans or in the spontaneous animal models of IDDM such as the NOD mouse or BB rat. To address this question, we used the model of cyclophosphamide (CYP)-induced autoimmune diabetes in the NOD/Wehi mouse to examine for (a) the production of IFN-gamma and IL-6 from isolated islets, and (b) the effect of anti IFN-gamma or anti IL-6 monoclonal antibodies on the development of diabetes. After cyclophosphamide, the majority of these mice develop of mononuclear cell infiltrate (insulitis) which by 10-14 d is associated with beta cell destruction. IFN-gamma activity at low levels (2.7 +/- 0.3 U/ml) could be detected only in culture supernatants from islets isolated at day 7 post-cyclophosphamide. In contrast, IL-6 activity progressively increased from 457 +/- 44 U/ml at day 0 to 6,020 +/- 777 U/ml at day 10. Culture of islets with anti-CD3 monoclonal antibody resulted in a significant increase in IFN-gamma activity from 41 +/- 7 U/ml at day 0 to 812 +/- 156 U/ml at day 10. Mice given either anti-IFN-gamma or anti-IL-6 antibody had a significantly reduced (P less than 0.001) incidence of diabetes and especially with IFN-gamma, decreased severity of insulitis. We conclude that IFN-gamma and IL-6 have essential roles in the pathogenesis of pancreatic islet beta cell destruction in this model.


Diabetes | 2010

Pro-Inflammatory CD11c+CD206+ Adipose Tissue Macrophages Are Associated With Insulin Resistance in Human Obesity

John M. Wentworth; Gaetano Naselli; Wendy A. Brown; Lisa Doyle; Belinda Phipson; Gordon K. Smyth; Martin Wabitsch; Paul E. O'Brien; Leonard C. Harrison

OBJECTIVE Insulin resistance and other features of the metabolic syndrome have been causally linked to adipose tissue macrophages (ATMs) in mice with diet-induced obesity. We aimed to characterize macrophage phenotype and function in human subcutaneous and omental adipose tissue in relation to insulin resistance in obesity. RESEARCH DESIGN AND METHODS Adipose tissue was obtained from lean and obese women undergoing bariatric surgery. Metabolic markers were measured in fasting serum and ATMs characterized by immunohistology, flow cytometry, and tissue culture studies. RESULTS ATMs comprised CD11c+CD206+ cells in “crown” aggregates and solitary CD11c−CD206+ cells at adipocyte junctions. In obese women, CD11c+ ATM density was greater in subcutaneous than omental adipose tissue and correlated with markers of insulin resistance. CD11c+ ATMs were distinguished by high expression of integrins and antigen presentation molecules; interleukin (IL)-1β, -6, -8, and -10; tumor necrosis factor-α; and CC chemokine ligand-3, indicative of an activated, proinflammatory state. In addition, CD11c+ ATMs were enriched for mitochondria and for RNA transcripts encoding mitochondrial, proteasomal, and lysosomal proteins, fatty acid metabolism enzymes, and T-cell chemoattractants, whereas CD11c− ATMs were enriched for transcripts involved in tissue maintenance and repair. Tissue culture medium conditioned by CD11c+ ATMs, but not CD11c− ATMs or other stromovascular cells, impaired insulin-stimulated glucose uptake by human adipocytes. CONCLUSIONS These findings identify proinflammatory CD11c+ ATMs as markers of insulin resistance in human obesity. In addition, the machinery of CD11c+ ATMs indicates they metabolize lipid and may initiate adaptive immune responses.


Nature Genetics | 2001

Linkage disequilibrium of a type 1 diabetes susceptibility locus with a regulatory IL12B allele

Grant Morahan; Dexing Huang; Susie I. Ymer; Michael Cancilla; Katrina Stephen; Preeti Dabadghao; George A. Werther; Brian D. Tait; Leonard C. Harrison; Peter G. Colman

Type 1 diabetes (T1D; or insulin-dependent diabetes mellitus, IDDM) is an autoimmune disease with both genetic and environmental components. In addition to the human leukocyte antigen (HLA) complex, the single major genetic contributor of susceptibility, an unknown number of other unidentified genes are required to mediate disease. Although many loci conferring susceptibility to T1D have been mapped, their identification has proven problematic due to the complex nature of this disease. Our strategy for finding T1D susceptibility genes has been to test for human homologues of loci implicated in diabetes-prone NOD (non-obese diabetic) mice, together with application of biologically relevant stratification methods. We report here a new susceptibility locus, IDDM18, located near the interleukin-12 (IL-12)p40 gene, IL12B. Significant bias in transmission of IL12B alleles was observed in affected sibpairs and was confirmed in an independent cohort of simplex families. A single base change in the 3′ UTR showed strong linkage disequilibrium with the T1D susceptibility locus. The IL12B 3′ UTR alleles showed different levels of expression in cell lines. Variation in IL-12p40 production may influence T-cell responses crucial for either mediating or protecting against this and other autoimmune diseases.


Bioinformatics | 1998

Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network.

Vladimir Brusic; George Rudy; G. Honeyman; Jürgen Hammer; Leonard C. Harrison

MOTIVATION Prediction methods for identifying binding peptides could minimize the number of peptides required to be synthesized and assayed, and thereby facilitate the identification of potential T-cell epitopes. We developed a bioinformatic method for the prediction of peptide binding to MHC class II molecules. RESULTS Experimental binding data and expert knowledge of anchor positions and binding motifs were combined with an evolutionary algorithm (EA) and an artificial neural network (ANN): binding data extraction --> peptide alignment --> ANN training and classification . This method, termed PERUN, was implemented for the prediction of peptides that bind to HLA-DR4(B1*0401). The respective positive predictive values of PERUN predictions of high-, moderate-, low- and zero-affinity binders were assessed as 0.8, 0.7, 0.5 and 0.8 by cross-validation, and 1.0, 0.8, 0.3 and 0.7 by experimental binding. This illustrates the synergy between experimentation and computer modeling, and its application to the identification of potential immunotherapeutic peptides. AVAILABILITY Software and data are available from the authors upon request. CONTACT [email protected]. au


Diabetes | 1997

Transgenic Expression of Mouse Proinsulin II Prevents Diabetes in Nonobese Diabetic Mice

Michelle B. French; Janette Allison; David S. Cram; Helen E. Thomas; Majella Dempsey-Collier; Anabel Silva; Harry M. Georgiou; Thomas W. H. Kay; Leonard C. Harrison; Andrew M. Lew

IDDM in humans and in nonobese diabetic (NOD) mice is a T-cell–dependent autoimmune disease in which the β-cells of the pancreatic islets are destroyed. Several putative β-cell autoantigens have been identified, but insulin and its precursor, proinsulin, are the only ones that are β-cell specific. (Pro)insulin may be a key autoantigen in IDDM. To address the role of proinsulin in the development of IDDM, we generated NOD mice transgenic for the mouse proinsulin II gene driven off a major histocompatibility complex (MHC) class II promoter to direct expression of the transgene to MHC class II bearing cells, including those in the thymus, with the aim of deleting proinsulin-reactive T-cells. The mononuclear cell infiltration of the islets (insulitis) is almost completely absent, and diabetes is prevented in these transgenic NOD mice. The mononuclear cell infiltration of the salivary glands (sialitis) and immune responses to ovalbumin (OVA) are not altered, indicating that the protective effect of the transgene is specific for islet pathology and not due to general immunosuppression. We conclude that autoimmunity to proinsulin plays a pivotal role in the development of IDDM.


Nature Reviews Immunology | 2003

Antigen-induced regulatory T cells in autoimmunity

von Herrath Mg; Leonard C. Harrison

The ultimate goal of any treatment for autoimmune diseases is antigen- and/or site-specific suppression of pathology. Autoaggressive lymphocytes need to be eliminated or controlled to prevent tissue damage and halt the progression of clinical disease. Strong evidence is emerging that the induction of regulatory T (TReg) cells by autoantigens can suppress disease, even if the primary, initiating autoantigens are unknown and if inflammation is progressive. An advantage of these autoreactive TReg cells is their ability to act as bystander suppressors and dampen inflammation in a site-specific manner in response to cognate antigen expressed locally by affected tissues. In this review, we consider the nature and function of such antigen-specific TReg cells, and strategies for their therapeutic induction are discussed.


The Lancet | 1993

Inverse relation between humoral and cellular immunity to glutamic acid decarboxylase in subjects at risk of insulin-dependent diabetes

Leonard C. Harrison; Margo C. Honeyman; Henry J. DeAizpurua; Robert S. Schmidli; Peter G. Colman; B.D Tait; David S. Cram

Glutamic acid decarboxylase (GAD) in pancreatic beta cells is an autoantigen in insulin-dependent diabetes (IDD). We measured immunity to GAD in 31 first-degree relatives of IDD patients judged to be at risk of developing IDD themselves because of the presence of islet-cell antibodies. We found that in most of the subjects GAD autoimmunity was either predominantly humoral or predominantly cellular. High concentrations of circulating autoantibodies that precipitate native GAD activity were associated with low proliferation of peripheral-blood T cells to recombinant GAD; conversely, low concentrations of autoantibody to GAD were associated with high T-cell proliferation to GAD. Although T-cell proliferation was measured in the presence of autologous serum, GAD autoantibodies did not have a blocking effect in vitro. This dichotomy of the immune response to GAD defined heterogeneity within at-risk relatives and could have prognostic importance. We postulate that, if GAD is a pathogenetic autoantigen, sensitisation to beta-cell GAD is more likely to lead to IDD when the immune response deviates towards the expansion of autoreactive T cells rather than towards generation of autoantibodies. This idea is consistent with evidence that beta-cell destruction is mediated by T cells and that high concentrations of GAD antibodies are associated with slower progression to clinical disease.


Diabetologia | 2005

Latent autoimmune diabetes in adults (LADA) should be less latent.

Spiros Fourlanos; Francesco Dotta; Carla J. Greenbaum; Jerry P. Palmer; Olov Rolandsson; Peter G. Colman; Leonard C. Harrison

Abstract‘Latent autoimmune diabetes in adults’ (LADA) is the term coined to describe adults who have a slowly progressive form of autoimmune or type 1 diabetes that can be treated initially without insulin injections. The diagnosis of LADA is currently based on three clinical criteria: (1) adult age at onset of diabetes; (2) the presence of circulating islet autoantibodies, which distinguishes LADA from type 2 diabetes; and (3) insulin independence at diagnosis, which distinguishes LADA from classic type 1 diabetes. The prevalence of LADA in adults presenting with non-insulin-requiring diabetes is approximately 10%. Recognition of LADA expands the concept and prevalence of autoimmune diabetes, but LADA remains poorly understood at both a clinical and research level. In this perspective, we review the nomenclature, diagnostic criteria, genetics, pathology and therapy of LADA, to arrive at recommendations that might advance knowledge and management of this form of diabetes.


Nucleic Acids Research | 1996

MHCPEP, a database of MHC-binding peptides: update 1996

Vladimir Brusic; George Rudy; Anthony P. Kyne; Leonard C. Harrison

MHCPEP is a curated database comprising over 9000 peptide sequences known to bind MHC molecules. Entries are compiled from published reports as well as from direct submissions of experimental data. Each entry contains the peptide sequence, its MHC specificity and, when available, experimental method, observed activity, binding affinity, source protein, anchor positions and publication references. The present format of the database allows text string matching searches but can easily be converted for use in conjunction with sequence analysis packages. The database can be accessed via Internet using WWW, FTP or Gopher.


Diabetologia | 2004

Insulin resistance is a risk factor for progression to Type 1 diabetes

Spiros Fourlanos; P. Narendran; Graham Byrnes; Peter G. Colman; Leonard C. Harrison

Aims/hypothesisGlucose homeostasis is determined by an interplay between insulin secretion and insulin action. In Type 1 diabetes, autoimmune destruction of pancreatic beta cells leads to impaired insulin secretion. However, the contribution of impaired insulin action (insulin resistance) to the development of Type 1 diabetes has received little attention. We investigated whether insulin resistance was a risk factor for progression to Type 1 diabetes.MethodsIslet-antibody-positive first-degree relatives of Type 1 diabetes probands were followed for 4.0 years (median). Insulin secretion was measured as first-phase insulin response (FPIR) to intravenous glucose. Insulin resistance was estimated by homeostasis model assessment of insulin resistance (HOMA-R). We compared subjects who progressed (n=43) and subjects who did not progress (n=61) to diabetes, including 21 pairs matched for age, sex, islet antibodies and FPIR.ResultsProgressors had higher insulin resistance relative to insulin secretion at baseline (median HOMA-R : FPIR 0.033 vs 0.013, p<0.0001). According to Cox proportional hazards analysis, islet antibody number, FPIR, fasting plasma glucose, fasting serum insulin, HOMA-R and log(HOMA-R : FPIR) were each predictive of progression to diabetes. However, log(HOMA-R : FPIR) (hazard ratio 2.57 per doubling, p<0.001) was the only metabolic variable independently associated with progression. In the matched comparison, progressors had higher fasting glucose, fasting insulin, HOMA-R and HOMA-R : FPIR, both at baseline and during the follow-up pre-clinical phase.Conclusions/interpretationRelatives positive for islet antibodies who progress most rapidly to diabetes have a subtle disturbance of insulin–glucose homeostasis years before the onset of symptoms, distinguished by greater insulin resistance for their level of insulin secretion. Taking steps to reduce this insulin resistance could therefore delay the development of Type 1 diabetes.

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Margo C. Honeyman

Walter and Eliza Hall Institute of Medical Research

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David S. Cram

Walter and Eliza Hall Institute of Medical Research

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Gaetano Naselli

Walter and Eliza Hall Institute of Medical Research

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Andrew M. Lew

Walter and Eliza Hall Institute of Medical Research

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John M. Wentworth

Walter and Eliza Hall Institute of Medical Research

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Stuart I. Mannering

St. Vincent's Institute of Medical Research

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Spiros Fourlanos

Walter and Eliza Hall Institute of Medical Research

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