Publications by authors named "Maryam A Aldossary"

Von Willebrand factor (VWF) is a plasma glycoprotein that plays a key role in hemostasis. Mutations in this protein can result in von Willebrand disease (VWD), the most common form of bleeding disorder in humans. Patients with type 1 VWD have a quantitative plasmatic deficiency of normal structural and functional VWF.

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Background: Cardiovascular diseases (CVD) are leading cause of mortality in patients with type 2 diabetes mellitus (T2DM). Increased soluble sP-selectin and 715Thr > Pro polymorphism were studied in CVD and T2DM, but association between them hasn't been explored in Saudi Arabia. We aimed to assess sP-selectin levels in T2DM and T2DM-associated CVD patients in comparison to healthy control cohort.

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Thrombophilia, where multiple genetic and acquired risk factors interact synergistically, are associated with thrombosis and pregnancy-related complications. Despite being studied profusely, an inconsistent association exists between thrombophilia and pregnancy complications. Between 2018 and 2020, ninety-three women with pregnancy complications were enrolled in the study.

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Introduction: von Willebrand disease (VWD) is the most prevalent bleeding disease, which is associated with either low levels of von Willebrand factor (VWF) or abnormality in its structure. Three types of the disease have been described; type 1 (VWD1) and 3 (VWD3) are caused by deficiency of VWF and type 2 (VWD2) is caused by production of defective VWF. The aim of the current study was to characterize gene variants of gene; exon 18 in particular, in a cohort of Saudi families as well as healthy control subjects.

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Introduction: Bloodstream infections (BSI) among patients with hematological malignancies (HM) could predispose them to higher morbidity and mortality for various underlying conditions. Several microorganisms, either pathogenic or opportunistic normal human flora, could cause severe bacteremia and septicemia. While conventional methods have their own limitations, molecular methods such as next-generation sequencing (NGS) can detect these blood infections with more reliability, specificity, and sensitivity, in addition to information on microbial population landscape.

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With the advent of large-scale next-generation sequencing initiatives, there is an increasing importance to interpret and understand the potential phenotypic influence of identified genetic variation and its significance in the human genome. Bioinformatics analyses can provide useful information to assist with variant interpretation. This review provides an overview of tools/resources currently available, and how they can help predict the impact of genetic variation at the deoxyribonucleic acid, ribonucleic acid, and protein level.

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