Publications by authors named "Adil Jadoon"
Article Synopsis
- Amyloidosis derived from apolipoprotein C-II (AApoCII) is a rare condition that primarily affects the kidneys, presenting with symptoms like proteinuria and reduced kidney function, particularly in older patients.
- A study conducted with 25 cases from the Mayo Clinic revealed common histological characteristics, such as nodular amyloid deposits in glomeruli, and proteomic analysis identified specific Apo C-II variants in many patients.
- Despite significant kidney issues, including end-stage kidney disease in about half of the patients, the overall survival rate was more favorable, indicating potential for better outcomes in this condition.
Rationale And Objective: Despite contribution of dyslipidemia to ischemic stroke, plasma lipidomic correlates of stroke in CKD is not studied. This study is aimed to identify plasma lipid alterations associated with stroke.
Study Design: Cross sectional.
Background: The gut microbiota is altered in patients with chronic kidney disease (CKD), and cardiovascular risk increases with progressive CKD. This study examined the potential link between short chain fatty acids (SCFAs), which are produced by the gut microbiota, and cardiovascular outcomes in patients with CKD.
Methods: SCFAs were measured using a targeted liquid chromatography-mass spectrometry platform in baseline plasma samples from 214 patients with CKD enrolled in the Clinical Phenotyping Resource and Biobank Core; 81 patients with coronary artery disease (CAD) and 133 without CAD were randomly assigned to training and validation subsets.
Technological advances in mass spectrometry-based lipidomic platforms have provided the opportunity for comprehensive profiling of lipids in biological samples and shown alterations in the lipidome that occur in metabolic disorders. A lipidomic approach serves as a powerful tool for biomarker discovery and gaining insight to molecular mechanisms of disease, especially when integrated with other -omics platforms (ie, transcriptomics, proteomics, and metabolomics) in the context of systems biology. In this review, we describe the workflow commonly applied to the conduct of lipidomic studies including important aspects of study design, sample preparation, biomarker identification and quantification, and data processing and analysis, as well as crucial considerations in clinical applications.
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