Publications by authors named "Kelli D Goodman"
Article Synopsis
- Untargeted metabolomics is a method that effectively analyzes small molecules in biological systems but faces challenges in data quality evaluation; using pooled quality control (QC) samples can help monitor and correct analytical variance during experiments.!* -
- A literature review of 109 published studies shows that the metabolomics community has widely adopted pooled QC samples across various biological types, but many studies fail to report their effectiveness in improving data quality.!* -
- The review reveals missing or unclear details in the QC framework, which hampers the ability to fully understand the quality control steps taken in these studies, indicating both strengths and areas for improvement in the field's reporting practices.!*
Article Synopsis
- Untargeted metabolomics is a promising method for detecting biomarkers, particularly advantageous in resource-limited situations where dried blood spots (DBS) can replace plasma.
- The study aimed to compare DBS and plasma assays for analyzing maternal metabolites, specifically within pregnant women living with HIV.
- Results revealed that both sample types produced unique metabolite profiles, with strong predictive capabilities for individual identification, and showed comparable accuracy in classification models despite using different features.
Article Synopsis
- Whole-exome sequencing has enhanced the diagnosis of genetic diseases, leading to the development of a clinical metabolomics method that uses mass spectrometry to screen for metabolic disorders by measuring hundreds of metabolites in a single sample.
- A precision study was conducted on human plasma to assess the reliability of four high-throughput metabolomics platforms, revealing a range of laboratory and inter-assay coefficient of variations (CVs) indicating good precision across samples.
- The evaluation confirms that the method is robust and reproducible for identifying key metabolites related to inborn errors of metabolism (IEMs), demonstrating its effectiveness in patient screening through consistent analytical results.
Background: Clinical practice guidelines recommend estimation of glomerular filtration rate (eGFR) using validated equations based on serum creatinine (eGFRcr), cystatin C (eGFRcys), or both (eGFRcr-cys). However, when compared with the measured GFR (mGFR), only eGFRcr-cys meets recommended performance standards. Our goal was to develop a more accurate eGFR method using a panel of metabolites without creatinine, cystatin C, or demographic variables.
View Article and Find Full Text PDFLC-MS/MS method for quantitation of seven biomarkers in human plasma for the assessment of insulin resistance and impaired glucose tolerance.
J Chromatogr B Analyt Technol Biomed Life Sci
October 2016
Early detection of insulin resistance (IR) and/or impaired glucose tolerance (IGT) is crucial for delaying and preventing the progression toward type 2 diabetes. We recently developed and validated a straightforward metabolite-based test for the assessment of IR and IGT in a single LC-MS/MS method. Plasma samples were diluted with isotopically-labeled internal standards and extracted by simple protein precipitation.
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