Genetic Background of a Juvenile Onset Gout Patient.
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ABSTRACT:
SUBMITTER: Zhang Y
PROVIDER: S-EPMC6085844 | biostudies-literature | 2018 Aug
REPOSITORIES: biostudies-literature
Publications
Genetic Background of a Juvenile Onset Gout Patient.
Zhang Yun Y Yin Yue Y Liu Wei W Zeng Xue-Jun XJ
Chinese medical journal 20180801 16
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Project description:BackgroundSandhoff disease (SD) is a rare neurological disease with high clinical heterogeneity. SD in juvenile form is much rarer and it is often misdiagnosed in clinics. Therein, it is necessary to provide more cases and review the literature on juvenile onset SD.Case presentationA 14 years-old boy with eight years of walking difficulties, and was ever misdiagnosed as spinocerebellar ataxia. We found this patient after genetic testing carried rs201580118 and a novel gross deletion in HEXB (g.74012742_74052694del). Through review the literature, we found that was the first gross deletion identified at the 3'end of HEXB, associated with juvenile onset SD from China.ConclusionThis case expanded our knowledge about the genotype and phenotype correlations in SD. Comprehensive genetic testing is important for the diagnosis of unexplained ataxia.
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Project description:BackgroundJuvenile-onset systemic lupus erythematosus (SLE) is a rare autoimmune rheumatic disease characterised by more severe disease manifestations, earlier damage accrual, and higher mortality than in adult-onset SLE. We aimed to use machine-learning approaches to characterise the immune cell profile of patients with juvenile-onset SLE and investigate links with the disease trajectory over time.MethodsThis study included patients who attended the University College London Hospital (London, UK) adolescent rheumatology service, had juvenile-onset SLE according to the 1997 American College of Rheumatology revised classification criteria for lupus or the 2012 Systemic Lupus International Collaborating Clinics criteria, and were diagnosed before 18 years of age. Blood donated by healthy age-matched and sex-matched volunteers who were taking part in educational events in the Centre for Adolescent Rheumatology Versus Arthritis at University College London (London, UK) was used as a control. Immunophenotyping profiles (28 immune cell subsets) of peripheral blood mononuclear cells from patients with juvenile-onset SLE and healthy controls were determined by flow cytometry. We used balanced random forest (BRF) and sparse partial least squares-discriminant analysis (sPLS-DA) to assess classification and parameter selection, and validation was by ten-fold cross-validation. We used logistic regression to test the association between immune phenotypes and k-means clustering to determine patient stratification. Retrospective longitudinal clinical data, including disease activity and medication, were related to the immunological features identified.FindingsBetween Sept 5, 2012, and March 7, 2018, peripheral blood was collected from 67 patients with juvenile-onset SLE and 39 healthy controls. The median age was 19 years (IQR 13-25) for patients with juvenile-onset SLE and 18 years (16-25) for healthy controls. The BRF model discriminated patients with juvenile-onset SLE from healthy controls with 90·9% prediction accuracy. The top-ranked immunological features from the BRF model were confirmed using sPLS-DA and logistic regression, and included total CD4, total CD8, CD8 effector memory, and CD8 naive T cells, Bm1, and unswitched memory B cells, total CD14 monocytes, and invariant natural killer T cells. Using these markers patients were clustered into four distinct groups. Notably, CD8 T-cell subsets were important in driving patient stratification, whereas B-cell markers were similarly expressed across the cohort of patients with juvenile-onset SLE. Patients with juvenile-onset SLE and elevated CD8 effector memory T-cell frequencies had more persistently active disease over time, as assessed by the SLE disease activity index 2000, and this was associated with increased treatment with mycophenolate mofetil and an increased prevalence of lupus nephritis. Finally, network analysis confirmed the strong association between immune phenotype and differential clinical features.InterpretationMachine-learning models can define potential disease-associated and patient-specific immune characteristics in rare disease patient populations. Immunological association studies are warranted to develop data-driven personalised medicine approaches for treatment of patients with juvenile-onset SLE.FundingLupus UK, The Rosetrees Trust, Versus Arthritis, and UK National Institute for Health Research University College London Hospital Biomedical Research Centre.
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Project description:Background: Systemic-Onset Juvenile Idiopathic Arthritis (SJIA) is a rare disease associated with dysregulated interleukin (IL)-1 activity. Objectives: To assess the efficacy and safety of Anakinra, an IL-1 receptor antagonist in SJIA and its effects on gene expression profiling. Methods: We conducted a multicenter, randomized, double-blind placebo-controlled trial. The primary objective was to compare the efficacy of a one-month treatment with anakinra (2 mg/kg subcutaneoulsy daily, maximum 100 mg) to a placebo between 2 groups of 12 SJIA patients each. Response was defined by a 30% improvement of the pediatric American College of Rheumatology criteria for JIA, resolution of systemic symptoms and a decrease of at least 50% of both C-reactive protein and erythrocyte sedimentation rate compared to baseline. An intention-to-treat analyze was performed. After Month 1 (M1), patients taking placebo were switched to Anakinra. Secondary objectives included tolerance and efficacy assessment for 12 months. Results: At M1, concluding the randomized trial, there was a significant difference in the response rate between patients treated with Anakinra (8/12 responders) and placebo (1/12) (p=0.003). The number of adverse events, mainly pain to injections, was similar between both groups. Ten patients from the placebo group switched to Anakinra at M1; nine were responders at M2. Between M1 and M12, six patients stopped treatment for an adverse event (Crohn’s disease, hepatitis), a lack of efficacy or a disease flare (2 cases each). Blood gene expression profiling at enrollment and upon follow-up allowed us to identify one set of dysregulated genes that reverted to normal values in the clinical responders and a second set, including interferon-inducible genes, that was induced by Anakinra. Conclusion: Anakinra is an effective treatment of SJIA. Its effect is associated with normalization of blood gene expression profiles in clinical responders and de novo induction of an interferon signature. (Clinical trials registration number: NCT00339157)
2009-12-31 | GSE17590 | GEO