Browsing by Subject "Plasma biomarker"

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    Diagnostic and Prognostic Plasma Biomarkers for Idiopathic Pneumonia Syndrome after Hematopoietic Cell Transplantation
    (Elsevier, 2018-04) Seo, Sachiko; Yu, Jeffrey; Jenkins, Isaac C.; Leisenring, Wendy M.; Steven-Ayers, Terry; Kuypers, Jane M.; Huang, Meei-Li; Jerome, Keith R.; Boeckh, Michael; Paczesny, Sophie; Pediatrics, School of Medicine
    Idiopathic pneumonia syndrome (IPS) is a noninfectious pulmonary complication after hematopoietic cell transplantation (HCT) and is difficult to diagnose. In 41 patients with IPS, we evaluated 6 candidate proteins in plasma samples at day 7 post-HCT and at onset of IPS to identify potential diagnostic or prognostic biomarkers for IPS. Samples at similar times from 162 HCT recipients without documented infections and 37 HCT recipients with respiratory viral pneumonia served as controls. In multivariable models, a combination of Stimulation-2 (ST2; odds ratio [OR], 2.8; P < .001) and IL-6 (OR, 1.4; P = .025) was the best panel for distinguishing IPS at diagnosis from unaffected controls, whereas tumor necrosis factor receptor 1 (TNFR1; OR, 2.9; P = .002) was the best marker when comparing patients with IPS and viral pneumonia. The areas under the curve of the receiver operating characteristic (ROC) curves for discriminating between IPS and unaffected controls at day 7 post-HCT were .8 for ST2, .75 for IL-6, and .68 for TNFR1. Using estimated sensitivity and specificity values from cutoffs determined with the ROC analysis (cutoff level: ST2, 21 ng/mL; IL-6, 61 pg/mL; TNFR1, 3421 pg/mL), we calculated positive predictive values (PPV) for a range of estimated population prevalence values of IPS. Among the 3 markers, ST2 showed the highest PPV for IPS occurrence. Based on an assumed prevalence of 8%, a positive ST2 test increased likelihood of IPS to 50%. We conclude that a prospective validation study is warranted to determine whether a plasma biomarker panel can aid the noninvasive diagnosis and prognosis of IPS.
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    Using the Alzheimer's Disease Neuroimaging Initiative to improve early detection, diagnosis, and treatment of Alzheimer's disease
    (Wiley, 2022) Veitch, Dallas P.; Weiner, Michael W.; Aisen, Paul S.; Beckett, Laurel A.; DeCarli, Charles; Green, Robert C.; Harvey, Danielle; Jack, Clifford R., Jr.; Jagust, William; Landau, Susan M.; Morris, John C.; Okonkwo, Ozioma; Perrin, Richard J.; Petersen, Ronald C.; Rivera-Mindt, Monica; Saykin, Andrew J.; Shaw, Leslie M.; Toga, Arthur W.; Tosun, Duygu; Trojanowski, John Q.; Alzheimer’s Disease Neuroimaging Initiative; Radiology and Imaging Sciences, School of Medicine
    Introduction: The Alzheimer's Disease Neuroimaging Initiative (ADNI) has accumulated 15 years of clinical, neuroimaging, cognitive, biofluid biomarker and genetic data, and biofluid samples available to researchers, resulting in more than 3500 publications. This review covers studies from 2018 to 2020. Methods: We identified 1442 publications using ADNI data by conventional search methods and selected impactful studies for inclusion. Results: Disease progression studies supported pivotal roles for regional amyloid beta (Aβ) and tau deposition, and identified underlying genetic contributions to Alzheimer's disease (AD). Vascular disease, immune response, inflammation, resilience, and sex modulated disease course. Biologically coherent subgroups were identified at all clinical stages. Practical algorithms and methodological changes improved determination of Aβ status. Plasma Aβ, phosphorylated tau181, and neurofilament light were promising noninvasive biomarkers. Prognostic and diagnostic models were externally validated in ADNI but studies are limited by lack of ethnocultural cohort diversity. Discussion: ADNI has had a profound impact in improving clinical trials for AD.