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A randomized, double blind, placebo controlled, multicenter clinical trial to assess the efficacy and safety of Emblica officinalis extract in patients with dyslipidemia.
Upadya, H, Prabhu, S, Prasad, A, Subramanian, D, Gupta, S, Goel, A
BMC complementary and alternative medicine. 2019;19(1):27
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Plain language summary
Emblica officinalis (Amla or Indian gooseberry) is a fruit that has been traditionally used in Ayurvedic medicine. It has been shown to be effective in the management of dyslipidemia (abnormal fat metabolism), a risk factor for heart disease, in animal models and in pilot clinical studies without major side effects. This multicenter, randomised, placebo controlled, double blind clinical trial was designed to evaluate the efficacy and safety of a proprietary full spectrum amla extract (containing pulp and seeds) in patients with dyslipidemia. 98 patients were enrolled and all completed the 12 week study. None of them were taking any medication for their dyslipidaemia. All the patients enrolled in the study were also asked to initiate lifestyle changes (healthy diet with exercise at least 4 days a week). Apart from conventional lipid parameters, the investigators also measured a number of other parameters relevant to heart disease, including the atherogenic index of plasma (AIP, a marker of heart disease risk). Compared to the placebo group the amla group had significantly greater reductions in triglycerides, LDL-cholesterol, VLDL-cholesterol and the atherogenic index of plasma (AIP, a better predictor of heart disease risk). There were no significant changes in HDL-cholesterol, CoQ10 (lowering of CoQ10 is a concern with many cholesterol lowering drugs), homocysteine, thyroid stimulating hormone (TSH) or fasting blood glucose. Four non-serious adverse events were observed: mild headache, mild fever, two times gastritis (all resolved with standard treatment), three were in the placebo group, one in the amla group. There were no changes in routine blood tests and vital signs (blood pressure, heart rate, temperature, respiratory rate). The authors conclude that the amla extract has significant potential to improve dyslipidaemia without side effects commonly seen with cholesterol lowering drugs.
Abstract
BACKGROUND Dyslipidemia is one of the most frequently implicated risk factors for development of atherosclerosis. This study evaluated the efficacy of amla (Emblica officinalis) extract (composed of polyphenols, triterpenoids, oils etc. as found in the fresh wild amla fruit) in patients with dyslipidemia. METHODS A total of 98 dyslipidemic patients were enrolled and divided into amla and placebo groups. Amla extract (500 mg) or a matching placebo capsule was administered twice daily for 12 weeks to the respective group of patients. The patients were followed up for 12 weeks and efficacy of study medication was assessed by analyzing lipid profile. Other parameters evaluated were apolipoprotein B (Apo B), apolipoprotein A1 (Apo A1), Coenzyme Q10 (CoQ10), high-sensitive C-reactive protein (hsCRP), fasting blood sugar (FBS), homocysteine and thyroid stimulating hormone (TSH). RESULTS In 12 weeks, the major lipids such as total cholesterol (TC) (p = 0.0003), triglyceride (TG) (p = 0.0003), low density lipoprotein cholesterol (LDL-C) (p = 0.0064) and very low density lipoprotein cholesterol (VLDL-C) (p = 0.0001) were significantly lower in amla group as compared to placebo group. Additionally, a 39% reduction in atherogenic index of the plasma (AIP) (p = 0.0177) was also noted in amla group. The ratio of Apo B to Apo A1 was reduced more (p = 0.0866) in the amla group as compared to the placebo. There was no significant change in CoQ10 level of amla (p = 0.2942) or placebo groups (p = 0.6744). Although there was a general trend of FBS reduction, the numbers of participants who may be classified as pre-diabetes and diabetes groups (FBS > 100 mg/dl) in the amla group were only 8. These results show that the amla extract used in the study is potentially a hypoglycaemic as well. However, this needs reconfirmation in a larger study. CONCLUSIONS The Amla extract has shown significant potential in reducing TC and TG levels as well as lipid ratios, AIP and apoB/apo A-I in dyslipidemic persons and thus has scope to treat general as well as diabetic dyslipidemia. A single agent to reduce cholesterol as well as TG is rare. Cholesterol reduction is achieved without concomitant reduction of Co Q10, in contrast to what is observed with statins. TRIAL REGISTRATION Registered with Clinical Trials Registry- India at www.ctri.nic.in (Registration number: CTRI/2015/04/005682 ) on 8 April 2015 (retrospectively registered).
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Identification of a novel proinsulin-associated SNP and demonstration that proinsulin is unlikely to be a causal factor in subclinical vascular remodelling using Mendelian randomisation.
Strawbridge, RJ, Silveira, A, Hoed, MD, Gustafsson, S, Luan, J, Rybin, D, Dupuis, J, Li-Gao, R, Kavousi, M, Dehghan, A, et al
Atherosclerosis. 2017;:196-204
Abstract
BACKGROUND AND AIMS Increased proinsulin relative to insulin levels have been associated with subclinical atherosclerosis (measured by carotid intima-media thickness (cIMT)) and are predictive of future cardiovascular disease (CVD), independently of established risk factors. The mechanisms linking proinsulin to atherosclerosis and CVD are unclear. A genome-wide meta-analysis has identified nine loci associated with circulating proinsulin levels. Using proinsulin-associated SNPs, we set out to use a Mendelian randomisation approach to test the hypothesis that proinsulin plays a causal role in subclinical vascular remodelling. METHODS We studied the high CVD-risk IMPROVE cohort (n = 3345), which has detailed biochemical phenotyping and repeated, state-of-the-art, high-resolution carotid ultrasound examinations. Genotyping was performed using Illumina Cardio-Metabo and Immuno arrays, which include reported proinsulin-associated loci. Participants with type 2 diabetes (n = 904) were omitted from the analysis. Linear regression was used to identify proinsulin-associated genetic variants. RESULTS We identified a proinsulin locus on chromosome 15 (rs8029765) and replicated it in data from 20,003 additional individuals. An 11-SNP score, including the previously identified and the chromosome 15 proinsulin-associated loci, was significantly and negatively associated with baseline IMTmean and IMTmax (the primary cIMT phenotypes) but not with progression measures. However, MR-Eggers refuted any significant effect of the proinsulin-associated 11-SNP score, and a non-pleiotropic SNP score of three variants (including rs8029765) demonstrated no effect on baseline or progression cIMT measures. CONCLUSIONS We identified a novel proinsulin-associated locus and demonstrated that whilst proinsulin levels are associated with cIMT measures, proinsulin per se is unlikely to have a causative effect on cIMT.
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A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration.
de Vries, PS, Chasman, DI, Sabater-Lleal, M, Chen, MH, Huffman, JE, Steri, M, Tang, W, Teumer, A, Marioni, RE, Grossmann, V, et al
Human molecular genetics. 2016;(2):358-70
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Abstract
Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including ∼120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3% of the variance in plasma fibrinogen concentration.