24 research outputs found

    Guinea pig models for translation of the developmental origins of health and disease hypothesis into the clinic

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    Over 30 years ago Professor David Barker first proposed the theory that events in early life could explain an individual\u27s risk of non-communicable disease in later life: the developmental origins of health and disease (DOHaD) hypothesis. During the 1990s the validity of the DOHaD hypothesis was extensively tested in a number of human populations and the mechanisms underpinning it characterised in a range of experimental animal models. Over the past decade, researchers have sought to use this mechanistic understanding of DOHaD to develop therapeutic interventions during pregnancy and early life to improve adult health. A variety of animal models have been used to develop and evaluate interventions, each with strengths and limitations. It is becoming apparent that effective translational research requires that the animal paradigm selected mirrors the tempo of human fetal growth and development as closely as possible so that the effect of a perinatal insult and/or therapeutic intervention can be fully assessed. The guinea pig is one such animal model that over the past two decades has demonstrated itself to be a very useful platform for these important reproductive studies. This review highlights similarities in the in utero development between humans and guinea pigs, the strengths and limitations of the guinea pig as an experimental model of DOHaD and the guinea pig\u27s potential to enhance clinical therapeutic innovation to improve human health. (Figure presented.)

    Relapsing and Remitting Proliferative Glomerulonephritis With Monoclonal Immunoglobulin Deposits in Association With Infection and Vaccination: A Case Report

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    Proliferative glomerulonephritis with monoclonal immunoglobulin deposits (PGNMID) is the second most common monoclonal gammopathy of renal significance. Rates of progression to kidney failure as well as rates of recurrence after kidney transplantation are high, especially in the absence of treatment. Treatment is usually targeted toward the abnormal clone, but even in the absence of an identifiable clone, empiric treatment is still recommended to avoid worsening prognosis. In this report, we present an unusual course of a PGNMID case with a relapsing and remitting pattern of illness, likely triggered by infection and vaccination. The patient in this case showed subsequent improvement after each episode, with stable kidney function over the years. This case report highlights the importance of investigating possible recent infectious exposures or vaccinations as potential triggers for this disease. This association should be considered for future patients with PGNMID, especially when there is no identifiable clone to help guide therapy

    Progressive decline of function in renal allografts with normal 1-year biopsies: Gene expression studies fail to identify a classifier

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    Histologic findings on 1-year biopsies such as inflammation with fibrosis and transplant glomerulopathy predict renal allograft loss by 5 years. However, almost half of the patients with graft loss have a 1-year biopsy that is either normal or has only interstitial fibrosis. The goal of this study was to determine if there was a gene expression profile in these relatively normal 1-year biopsies that predicted subsequent decline in renal function. Using transcriptome microarrays we measured intragraft mRNA levels in a retrospective Discovery cohort (170 patients with a normal/minimal fibrosis 1-year biopsy, 54 with progressive decline in function/graft loss and 116 with stable function) and developed a nested 10-fold cross-validated gene classifier that predicted progressive decline in renal function (positive predictive value = 38 ± 34%%; negative predictive value = 73 ± 30%, c-statistic = .59). In a prospective, multicenter Validation cohort (270 patients with Normal/Interstitial Fibrosis [IF]), the classifier had a 20% positive predictive value, 85% negative predictive value and .58 c-statistic. Importantly, the majority of patients with graft loss in the prospective study had 1-year biopsies scored as Normal or IF. We conclude predicting graft loss in many renal allograft recipients (i.e., those with a relatively normal 1-year biopsy and eGFR \u3e 40) remains difficult
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