Friday, December 21, 2012

Some Useful Shell Commands for Cluster

bkill
especially bkill 0 as it will kill all jobs submitted by the user

bjobs

bhosts

Monday, November 19, 2012

Farnesyl Pyrophosphate and ADP-mediated Platelet Aggregation

Read this article recently and it seems interesting. Farnesyl pyrophosphate (FPP) can itself activate platelets and can induce platelet aggregation. However, this study concludes that FPP can act as endogenous antithrombotic factor by acting as insurmountable antagonist of ADP-mediated platelet aggregation. FPP is an intermediate in the cholesterol biosynthetic pathway. FPP also serves as a donor in post-translational isoprenylation of proteins. The steady-state plasma level was reported to be 6.6 ng/ml,  but  even  the  mild  physiological alteration caused by eating a meal has been demonstrated to increase the plasma concentration 200 fold. FPP is a natural antagonist of the LPA2  (lysophosphatidic acid type 2) and LPA3  receptors, and an agonist at the LPA4  and LPA5 receptors. While these receptors are present in platelets, FPP doesn’t appear to act through these receptors. Hogberg et al realized that the structure of ADP and FPP is similar as are their receptors. Thus, through a series of experiments they should that FPP inhibits platelet aggregation by blocking ADP receptors.

Friday, November 16, 2012

Platelet Function and Subsequent MACE in ACS patients

An interesting substudy of TRILOGY ACS was published in JAMA recently in which a group of patients with ACS underwent evaluation of platelet function after prasugrel or clopidogrel. All patients were also on aspirin. Thus, platelet function studies were performed after treatment with aspirin + prasugrel and aspirin + clopidgorel. TRILOGY ACS trial was a randomized, double-blind, active-comparator trial comparing prasugrel with clopidogrel in patients with unstable angina or non–ST-segment elevation myocardial infarction (UA/NSTEMI) who were managed medically without planned revascularization.Platelet function was assessed in a subset of enrolled patients using VerifyNow kits. VerifyNow P2Y12 is a whole-blood, turbidimetric-based assay that measures platelet agglutination to fibrinogen-coated polystyrene beads after platelet activation with adenosine diphosphate. The results are expressed in PRU (P2Y12 reaction units). There was no significant association between platelet reactivity and occurrence of ischemic outcomes during a 30 month follow-up period.

The results of this study are important; it is a large study, enrolling a high-risk population and followed for a relatively longer period of time. While trials of antiplatelet agents have established, beyond doubt, that platelet play an important (if not essential) role in the pathogenesis of ACS and perhaps also in the development and progression of atherosclerosis, studies have generally failed to find an association of platelet function with future events. Probably the most likely explanation is that we have, so far, been unable to identify a platelet function test that ACTUALLY measures platelet function in a way which is important clinically. We can predict bleeding but not aggregability. We do need to explore existing platelet function tests for association with future events that have not yet been examined and we also need to develop newer tests that are more closer in measuring what happens inside the vessel.

Tuesday, August 28, 2012

WOEST - Optimal Antiplatelet Treatment in Patient Already taking Anticoagulants

Dual antiplatelet therapy (aspirin and clopidogrel or another P2Y12 inhibitor) is almost always prescribed (and is beneficial in preventing future adverse cardiovascular events) to patients with coronary artery disease who undergo coronary intervention and have stents placed (although it is associated with increased risk of bleeding). For most patients with atrial fibrillation or mechanical heart valves, anticoagulation therapy is a the standard of care (although it is associated with increased bleeding risk).

Question remains as to what to do with patients who are on anticoagulation but then develop coronary artery disease, undergo percutaneous coronary intervention (PCI) and stent placement. Use of dual antiplatelet therapy along with anticoagulation increases the overall risk of bleeding considerably and whether such a high risk of bleeding overshadows the benefit associated with dual antiplatelet therapy remains unknown.

In an ideal situation, one would randomize patients who are taking anticoagulants and who have undergone PCI with stent placement in one of the three arms: dual antiplatelet therapy, aspirin alone, or clopidogrel (or another P2Y12 agent) alone. Of course, all the three groups should continue taking their anticoagulation treatment. While, we don’t have such an ideal study, we do have results of a study (reported today in the ESC Congress 2012) in which patients taking anticoagulants were randomized to dual antiplatelet agents or clopidogrel alone. The results are interesting; not only that dual antiplatelet therapy in addition to anticoagulation was associated with increased risk of bleeding, it was also associated with higher risk of all-cause mortality (6.4% vs. 2.5%; p = 0.027).

One thing is certain from this study and that is that dual antiplatelet therapy, in addition to anticoagulation, is not optimal treatment and a single antiplatelet agent is likely to do a better job in reducing not only bleeding but also in decreasing all-cause mortality. However, whether this single antiplatelet agent has to be aspirin or clopidogrel, that remains unclear. In fact, it is quite possible that aspirin may have larger benefit than clopidogrel when used in such population. Perhaps future studies may be better able to point us relative benefits of antiplatelet agents in patients with PCI and stents who are also taking anticoagulants.

Sunday, August 26, 2012

Clopidogrel vs. Prasugrel in Medically Managed ACS

Clopidogrel (famous by its brand name Plavix) is now generic and while prices vary from one pharmacy to another, it is very likely that very soon its price will come down. On the other hand, Prasugrel (which works the same way as clopidogrel) has a long way to go before it becomes generic and thus is likely to remain costly for next several years.

Prasugrel has one advantage over clopidogrel; its metabolism is not dependent on CYP2C19 (a member of cytochrome P450 system). A mutation within the gene of this particular enzyme decreases its function and decreases the conversion of the pro-drug, clopidogrel, into its active metabolite. The metabolism is shunted towards inactive metabolites and hence individuals with certain mutations in this gene are associated with increased platelet reactivity while on clopidogrel. This was shown conclusively in a GWAS by Alan Shuldiner and his team.

Prasugrel does seem to be superior to clopidogrel in individuals who undergo percutaneous coronary intervention (PCI) however, it was not clear if prasugrel is also superior to clopidogrel in individuals who are managed conservatively.

The results of the TRILOGY-ACS trial (double blind, randomized, double-dummy, active control, event-driven), announced today at the ESC Congress 2012 suggest that there is no difference. In this study, investigators randomized >9,000 patients with acute coronary syndromes (ACS) to either clopidogrel+acetyl salicylic acid (ASA or aspirin) or prasugrel+ASA. The primary end point of the trial was cardiovascular death, myocardial infarction, or stroke. The study did not find a benefit of prasugrel over clopidogrel for either the primary outcome or individual components of the primary outcome (p = 0.21). Post-hoc analysis suggests some interesting hypothesis that may be worth looking into in future studies.

Ticagrelor, another anti-platelet agent that also works by inhibiting the same ADP receptors (P2Y12), on the other hand, was shown to be superior to clopidogrel in a similar type of medically managed population in the PLATO trial. It will be interesting to see how they do in their head-to-head comparison (if ever done).

Wednesday, August 22, 2012

GWAS of Correlated Traits

Korte et al has written an interesting paper which extends the analysis of correlated traits to genome-wide association studies (GWAS). (Korte A, Vilhjálmsson BJ, Segura V, Platt A, Long Q,Nordborg M. A mixed-model approach for genome-wide association studies of correlated traits in structured populations. Nat Genet. 2012 Aug 19. doi: 10.1038/ng.2376. [Epub ahead of print] PubMed PMID: 22902788.)

GWA studies have commonly employed a simple statistical model in which a single locus is tested for association with a single phenotype (usually in an additive model). There have been few attempts so far, if any to utilize correlated phenotypes and perhaps improve power of the studies. 
In the 2011 meeting of American Society of Human Genetics at Montreal, Canada, I have used one, relatively simple, method to combine results from two correlated traits with resulting increase in power of GWAS. (Qayyum R et al. Correlated meta-analysis of genome-wide association studies of agonist-mediated native platelet aggregation in African Americans). What we did was to conduct two separate GWAS studies of correlated platelet aggregation phenotypes and then combined the results using meta-analysis. However, the resulting p-values were adjusted for correlation between the two phenotypes using tetrachoric correlation. We further conformed our findings using the simulations from correlated distributions, confirming our findings. 
Korte et al, use linear mixed model approach to not only adjust for population stratification but also for correlation between phenotypes. They use ASReml and R for this analysis and provide R scripts on their website. Using their techniques, Korte et al unveil additional SNPs in a GWAS of LDL and triglycerides.

 

 

Friday, August 17, 2012

Some Interesting Articles to Read

This one claims that odds are against men because of natural selection

Extreme phenotypes are helpful in identifying genetic loci and this study provides such an example

Here is introduction to Personal Genome Project, an interesting resource.

Monday, April 09, 2012

Ornithine Decarboxylase, Aspirin, and Platelets

Ornithine Decarboxylase (gene name ODC1) is the rate limiting enzymes of the polyamine biosynthesis pathway and catalyzes ornithine to putrescine. The activity level for the enzyme varies in response to growth-promoting stimuli and exhibits a high turnover rate in comparison to other mammalian proteins. Interestingly, this enzyme (as well as its inhibitor, Ornithine decarboxylase antizyme, gene name OAZ1) is also differentially expressed at higher levels in platelets from individuals with sickle cell disease than in in those without sickle cell disease (PMCID: PMC2225987). Platelets are in a basally activated state in patients with sickle cell disease and may contribute to at least some of the long-term vascular complications seen in patients with sickle cell disease. In patients with CAD, variants in OAZ1 have shown to be associated with increased risk of 6-month in-stent restenosis, increase in carotid intima-media thickness over the a 4-year period, and an increased risk of CAD (PMID: 17761941).

Aspirin is widely used for its anti-platelet effects and is also shown to be beneficial in reducing the recurrence of colon adenomatous polyps. A recent study has found that variants located downstream of the 3’ end of ODC1 gene may influence the risk of colorectal adenoma and impact the efficacy of aspirin. (PMID: 21930798)Whether there is a similar relationship between the antiplatelet effect of aspirin and ODC1 gene variants is unknown. Although one may be tempted to postulate that such a relationship exists based on the above noted studies, there are other potential mechanisms that may play a role. For example, ornithine decarboxylase has been shown to affect proliferation of vascular smooth muscle cells (PMID: 21894530) and the function of endothelial cells (PMID: 20594968); both cell types important in the process of atherosclerosis.

Thursday, February 23, 2012

Selective Genotyping

In selective genotyping, a large number of individuals are phenotyped; however, only individuals with extreme traits are genotyped. This design tends to be more efficient than pure random sampling because phenotypically extreme individuals are likely to be genetically more informative [Huang and Lin, 2007].

Several regression-based methods have been developed for mapping QTLs under selective genotyping. These include the prospective linear regression [Xiong et al.,
2002], the retrospective likelihood approach [Wallace et al., 2006] and the conditional likelihood method [Huang and Lin, 2007]. Tang Y [2010] showed that the prospective, retrospective and conditional likelihoods actually yield identical score tests for association between a quantitative trait and a candidate locus.