Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0020538 (hypertension)
 170,190 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Early, ideally pre-symptomatic, recognition of common diseases (e.g., heart disease, cancer, diabetes, Alzheimer's disease) facilitates early treatment or lifestyle modifications, such as diet and exercise. Sensitive, specific identification of diseases using blood samples would facilitate early recognition. We explored the potential of disease identification in high dimensional blood microRNA (miRNA) datasets using a powerful data reduction method: principal component analysis (PCA). Using Qlucore Omics Explorer (QOE), a dynamic, interactive visualization-guided bioinformatics program with a built-in statistical platform, we analyzed publicly available blood miRNA datasets from the Gene Expression Omnibus (GEO) maintained at the National Center for Biotechnology Information at the National Institutes of Health (NIH). The miRNA expression profiles were generated from real time PCR arrays, microarrays or next generation sequencing of biologic materials (e.g., blood, serum or blood components such as platelets). PCA identified the top three principal components that distinguished cohorts of patients with specific diseases (e.g., heart disease, stroke, hypertension, sepsis, diabetes, specific types of cancer, HIV, hemophilia, subtypes of meningitis, multiple sclerosis, amyotrophic lateral sclerosis, Alzheimer's disease, mild cognitive impairment, aging, and autism), from healthy subjects. Literature searches verified the functional relevance of the discriminating miRNAs. Our goal is to assemble PCA and heatmap analyses of existing and future blood miRNA datasets into a clinical reference database to facilitate the diagnosis of diseases using routine blood draws.
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PMID:Principal component analysis of blood microRNA datasets facilitates diagnosis of diverse diseases. 3250 86

A 54-year-old man with a long history of severe haemophilia A treated prophylactically with efmoroctocog alpha (3,000 IU twice weekly) was diagnosed with COVID-19 infection. He had multiple risk factors for COVID-19 severity including obesity, diabetes mellitus and hypertension. He required prolonged intensive care unit (ICU) stay due to the severity of respiratory failure until his death on day 24. During his ICU stay, he received a continuous infusion of efmoroctocog alpha in order to maintain factor VIII activity between 80 and 100%, together with therapeutic doses of low-molecular-weight heparin targeting anti-Xa activity above 0.5 IU/mol. He tolerated numerous invasive procedures without bleeding. At post-mortem examination, there was no evidence for thrombosis or haemorrhage in the different organs.
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PMID:Management of COVID-19 Coagulopathy in a Patient with Severe Haemophilia A. 3298 Aug 42


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