Abstract:The challenge for -omics research is to tackle the problem of fragmentation of knowledge by integrating several sources of heterogeneous information into a coherent entity. It is widely recognized that successful data integration is one of the keys to improve productivity for stored data. Through proper data integration tools and algorithms, researchers may correlate relationships that enable them to make better and faster decisions. The need for data integration is essential for present -omics community, because -omics data is currently spread world wide in wide variety of formats. These formats can be integrated and migrated across platforms through different techniques and one of the important techniques often used is XML. XML is used to provide a document markup language that is easier to learn, retrieve, store and transmit. It is semantically richer than HTML. Here, we describe bio warehousing, database federation, controlled vocabularies and highlighting the XML application to store, migrate and validate -omics data.
Back ground: Platelets play an important role in the pathophysiology of Coronary Artery Disease(CAD). Naive platelets are larger in size and have more reactivity than older platelets. So the platelet indices including Mean Platelet Volume(MPV), Plateletcrit(Pct), and Platelet Distribution Width(PDW) may emerge a marker of CAD. The aim of the study is to study the role of platelet indices in patient with Acute Coronary Syndrome(ACS) and to see whether increase in platelet indices is associated with increased risk of ACS. Materials and methods: In thepresent study 60 patients who presented to NIMS with Acute Coronary Syndromes(ACS) including Acute STEMI, NSTEMI were included. Platelet indices including Mean Platelet Volume(MPV), Platelet Distribution Width(PDW) and Platelet Crit(Pct) were calculated in all these patients at the time of admission through automated analysers. These parameters were compared with 60 age and sex matched controls. Results: The mean age of the study population is 56.3 years. In patients with ACS the mean platelet count was 2.35 lakhs, the mean MPV was 11.56fl, the mean Pct is 0.221%, and mean PDW is 17.342. In the control population the mean MPV,PDW and Pct were 10.5fl,0.144% and 15.214. In our study MPV did not show any statistically significant difference in patients with ACS. On the other hand there was a significant difference in Pct& PDW in patients with ACS. Patients with ACS have higher values of Pct and PDW when compared to age matched controls. (p=0.0001). Conclusion: : Larger platelets are haemostatically more active and are a risk factor for developing coronary thrombosis and subsequent acute coronary event(Acute STEMI/NSTEMI). Platelets with higher Pct and PDW were at higher risk of ACS. These patients can easily be identified during routine hematological analysis and could possibly benefit from preventive treatment.
We report a case illustrating a 39-year-old man with delayed presentation of severe pulmonary valve (PV) stenosis, clinical evidence of congestive right heart failure in the form of enlarged liver, raised jugular venous pressure, and anasarca without cyanosis. Echocardiography (echo) was used both for diagnosis and monitoring this patient as main tool. The contractile reserve of the right ventricle (RV) was evaluated by infusion of dobutamine and diuretic for 4 days before pulmonary balloon valvotomy. Both the tricuspid annular peak systolic excursion and diastolic (diastolic anterograde flow through PV) function of RV improved after percutaneous balloon pulmonary valvotomy. These improvements were clinically apparent by complete resolution of anasarca, pericardial effusion, and normalization albumin-globulin ratio. The periprocedural echo findings were quite unique in this illustration.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.