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Articles by P. J Talmud
Total Records ( 2 ) for P. J Talmud
  R Sofat , A. D Hingorani , L Smeeth , S. E Humphries , P. J Talmud , J Cooper , T Shah , M. S Sandhu , S. L Ricketts , S. M Boekholdt , N Wareham , K. T Khaw , M Kumari , M Kivimaki , M Marmot , F. W Asselbergs , P van der Harst , R. P.F Dullaart , G Navis , D. J van Veldhuisen , W. H Van Gilst , J. F Thompson , P McCaskie , L. J Palmer , M Arca , F Quagliarini , C Gaudio , F Cambien , V Nicaud , O Poirer , V Gudnason , A Isaacs , J. C.M Witteman , C. M van Duijn , M Pencina , R. S Vasan , R. B D'Agostino , J Ordovas , T. Y Li , S Kakko , H Kauma , M. J Savolainen , Y. A Kesaniemi , A Sandhofer , B Paulweber , J. V Sorli , A Goto , S Yokoyama , K Okumura , B. D Horne , C Packard , D Freeman , I Ford , N Sattar , V McCormack , D. A Lawlor , S Ebrahim , G. D Smith , J. J.P Kastelein , J Deanfield and J. P. Casas
 

Background— Cholesteryl ester transfer protein (CETP) inhibitors raise high-density lipoprotein (HDL) cholesterol, but torcetrapib, the first-in-class inhibitor tested in a large outcome trial, caused an unexpected blood pressure elevation and increased cardiovascular events. Whether the hypertensive effect resulted from CETP inhibition or an off-target action of torcetrapib has been debated. We hypothesized that common single-nucleotide polymorphisms in the CETP gene could help distinguish mechanism-based from off-target actions of CETP inhibitors to inform on the validity of CETP as a therapeutic target.

Methods and Results— We compared the effect of CETP single-nucleotide polymorphisms and torcetrapib treatment on lipid fractions, blood pressure, and electrolytes in up to 67 687 individuals from genetic studies and 17 911 from randomized trials. CETP single-nucleotide polymorphisms and torcetrapib treatment reduced CETP activity and had a directionally concordant effect on 8 lipid and lipoprotein traits (total, low-density lipoprotein, and HDL cholesterol; HDL2; HDL3; apolipoproteins A-I and B; and triglycerides), with the genetic effect on HDL cholesterol (0.13 mmol/L, 95% confidence interval [CI] 0.11 to 0.14 mmol/L) being consistent with that expected of a 10-mg dose of torcetrapib (0.13 mmol/L, 95% CI 0.10 to 0.15). In trials, 60 mg of torcetrapib elevated systolic and diastolic blood pressure by 4.47 mm Hg (95% CI 4.10 to 4.84 mm Hg) and 2.08 mm Hg (95% CI 1.84 to 2.31 mm Hg), respectively. However, the effect of CETP single-nucleotide polymorphisms on systolic blood pressure (0.16 mm Hg, 95% CI –0.28 to 0.60 mm Hg) and diastolic blood pressure (–0.04 mm Hg, 95% CI –0.36 to 0.28 mm Hg) was null and significantly different from that expected of 10 mg of torcetrapib.

Conclusions— Discordance in the effects of CETP single-nucleotide polymorphisms and torcetrapib treatment on blood pressure despite the concordant effects on lipids indicates the hypertensive action of torcetrapib is unlikely to be due to CETP inhibition or shared by chemically dissimilar CETP inhibitors. Genetic studies could find a place in drug-development programs as a new source of randomized evidence for drug-target validation in humans.

  F Drenos , P. J Talmud , J. P Casas , L Smeeth , J Palmen , S. E Humphries and A. D. Hingorani
 

Individuals at risk of coronary heart disease (CHD) show multiple correlations across blood biomarkers. Single nucleotide polymorphisms (SNPs) indexing biomarker differences could help distinguish causal from confounded associations because of their random allocation prior to disease. We examined the association of 948 SNPs in 122 candidate genes with 12 CHD-associated phenotypes in 2775 middle aged men (a genic scan). Of these, 140 SNPs indexed differences in HDL- and LDL-cholesterol, triglycerides, C-reactive protein, fibrinogen, factor VII, apolipoproteins AI and B, lipoprotein-associated phospholipase A2, homocysteine or folate, some with large effect sizes and highly significant P-values (e.g. 2.15 standard deviations at P = 9.2 x 10–140 for F7 rs6046 and FVII levels). Top ranking SNPs were then tested for association with additional biomarkers correlated with the index phenotype (phenome scan). Several SNPs (e.g. in APOE, CETP, LPL, APOB and LDLR) influenced multiple phenotypes, while others (e.g. in F7, CRP and FBB) showed restricted association to the index marker. SNPs influencing six blood proteins were used to evaluate the nature of the associations between correlated blood proteins utilizing Mendelian randomization. Multiple SNPs were associated with CHD-related quantitative traits, with some associations restricted to a single marker and others exerting a wider genetic ‘footprint’. SNPs indexing biomarkers provide new tools for investigating biological relationships and causal links with disease. Broader and deeper integrated analyses, linking genomic with transcriptomic, proteomic and metabolomic analysis, as well as clinical events could, in principle, better delineate CHD causing pathways amenable to treatment.

 
 
 
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