Plasma homocysteine and the risk of venous thromboembolism: insights from the FIELD study

Background The lipid-lowering effect of fenofibrate is accompanied by a rise in plasma homocysteine, a potential risk factor for venous thromboembolism (VTE). This study investigated the relationship between homocysteine and the risk of VTE in patients treated with fenofibrate. Methods and results The relationship between homocysteine and deep-vein thrombosis or pulmonary embolism was investigated in 9522 participants of the 5-year Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) trial. All subjects received fenofibrate during a 6-week active run-in phase before randomization. A Cox proportional-hazards model was used to assess the effect of homocysteine on risk of venous thromboembolic events. During active-drug run-in, homocysteine rose on average by 6.5 μmol/L, accompanied by a substantial rise in plasma creatinine (+12%). Fenofibrate-induced changes in homocysteine and creatinine were fully reversible in the placebo group but persisted in the treatment group until reversing at the end of therapy. During follow-up, 1.8% had at least one episode of deep-vein thrombosis or pulmonary embolism: 103 on fenofibrate and 68 on placebo (log-rank P=0.006). In multivariate analysis, every 5 µmol/L higher baseline homocysteine was associated with 19% higher risk of VTE. Fenofibrate treatment was associated with 52% higher risk, but the change in homocysteine with fenofibrate was not significantly associated with VTE after adjustment for baseline homocysteine. Conclusions Hyperhomocysteinemia is prospectively associated with VTE. Fenofibrate may predispose individuals with high pretreatment homocysteine towards VTE. The fenofibrate-induced increase in homocysteine did not, however, explain the risk associated with fenofibrate therapy

Optimised plasma sample preparation and LC-MS analysis to support large-scale proteomic analysis of clinical trial specimens : application to the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) trial

This work was performed by funding from The University of Sydney (CIA Jenkins) and funds provided by the National Health and Medical Research Council (Australia) APP1147897Purpose: Robust, affordable plasma proteomic biomarker workflows are needed for large-scale clinical studies. We evaluated aspects of sample preparation to allow LC-MS analysis of more than 1500 samples from the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) trial of adults with type 2 diabetes. Methods: Using LC-MS with data-independent acquisition we evaluated four variables: plasma protein depletion, EDTA or citrated anti-coagulant blood collection tubes, plasma lipid depletion strategies and plasma freeze-thaw cycles. Optimised methods were applied in a pilot study of FIELD participants. Results: LC-MS of undepleted plasma conducted over a 45 min gradient yielded 172 proteins after excluding immunoglobulin isoforms. Cibachrome-blue-based depletion yielded additional proteins but with cost and time expenses, while immunodepleting albumin and IgG provided few additional identifications. Only minor variations were associated with blood collection tube type, delipidation methods and freeze-thaw cycles. From 65 batches involving over 1500 injections, the median intra-batch quantitative differences in the top 100 proteins of the plasma external standard was less than 2%. Fenofibrate altered seven plasma proteins. Conclusions and Clinical Relevance: A robust plasma handling and LC-MS proteomics workflow for abundant plasma proteins has been developed for large-scale biomarker studies that balances proteomic depth with time and resource costs.Publisher PDFPeer reviewe

World Congress on Insulin Resistance, Diabetes, and Cardiovascular Disease: Part 1

City, UT) discussed the association of early life stresses with heart disease, can-cer, Alzheimer’s disease, renal disease, and diabetes, leading causes of morbidity and mortality in the U.S. The most common stressor, intrauterine growth retardation (IUGR), is strongly associated with insulin resistance (IR) and with cardiovascular disease (CVD). The classic example of this phenomenon comes from study of the Dutch famine at the end of World War II, which occurred during a 5-month period when the Nazi occupiers retaliated for a railroad strike. Caloric intake dropped from 1,800 to 600 per day and after liber

Prevalence and progression of visual impairment in patients newly diagnosed with clinical type 2 diabetes: a 6-year follow up study

<p>Abstract</p> <p>Background</p> <p>Many diabetic patients fear visual loss as the worst consequence of diabetes. In most studies the main eye pathology is assigned as the cause of visual impairment. This study analysed a broad range of possible ocular and non-ocular predictors of visual impairment prospectively in patients newly diagnosed with clinical type 2 diabetes.</p> <p>Methods</p> <p>Data were from a population-based cohort of 1,241 persons newly diagnosed with clinical, often symptomatic type 2 diabetes aged ≥ 40 years. After 6 years, 807 patients were followed up. Standard eye examinations were done by practising ophthalmologists.</p> <p>Results</p> <p>At diabetes diagnosis median age was 65.5 years. Over 6 years, the prevalence of blindness (visual acuity of best seeing eye ≤ 0.1) rose from 0.9% (11/1,241) to 2.4% (19/807) and the prevalence of moderate visual impairment (> 0.1; < 0.5) rose from 5.4% (67/1,241) to 6.7% (54/807). The incidence (95% confidence interval) of blindness was 40.2 (25.3-63.8) per 10,000 patient-years. Baseline predictors of level of visual acuity (age, age-related macular degeneration (AMD), cataract, living alone, low self-rated health, and sedentary life-style) and speed of continued visual loss (age, AMD, diabetic retinopathy (DR), cataract, living alone, and high fasting triglycerides) were identified.</p> <p>Conclusions</p> <p>In a comprehensive assessment of predictors of visual impairment, even in a health care system allowing self-referral to free eye examinations, treatable eye pathologies such as DR and cataract emerge together with age as the most notable predictors of continued visual loss after diabetes diagnosis. Our results underline the importance of eliminating barriers to efficient eye care by increasing patients' and primary care practitioners' awareness of the necessity of regular eye examinations and timely surgical treatment.</p