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An indicator cell assay for blood-based diagnostics.
Danziger, Samuel A; Miller, Leslie R; Singh, Karanbir; Whitney, G Adam; Peskind, Elaine R; Li, Ge; Lipshutz, Robert J; Aitchison, John D; Smith, Jennifer J.
Afiliación
  • Danziger SA; Institute for Systems Biology, Seattle, WA, United States of America.
  • Miller LR; Center for Infectious Disease Research (formerly Seattle Biomedical Research Institute), Seattle, WA, United States of America.
  • Singh K; Institute for Systems Biology, Seattle, WA, United States of America.
  • Whitney GA; Institute for Systems Biology, Seattle, WA, United States of America.
  • Peskind ER; PreCyte Inc., Seattle, WA, United States of America.
  • Li G; Northwest Network (VISN-20) Mental Illness, Research, Education, and Clinical Center (MIRECC), VA Puget Sound, Seattle, WA, United States of America.
  • Lipshutz RJ; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States of America.
  • Aitchison JD; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States of America.
  • Smith JJ; Geriatric Research, Education, and Clinical Center, Veterans Affairs (VA) Puget Sound Health Care System (VA Puget Sound), Seattle, WA, United States of America.
PLoS One ; 12(6): e0178608, 2017.
Article en En | MEDLINE | ID: mdl-28594877
ABSTRACT
We have established proof of principle for the Indicator Cell Assay Platform™ (iCAP™), a broadly applicable tool for blood-based diagnostics that uses specifically-selected, standardized cells as biosensors, relying on their innate ability to integrate and respond to diverse signals present in patients' blood. To develop an assay, indicator cells are exposed in vitro to serum from case or control subjects and their global differential response patterns are used to train reliable, disease classifiers based on a small number of features. In a feasibility study, the iCAP detected pre-symptomatic disease in a murine model of amyotrophic lateral sclerosis (ALS) with 94% accuracy (p-Value = 3.81E-6) and correctly identified samples from a murine Huntington's disease model as non-carriers of ALS. Beyond the mouse model, in a preliminary human disease study, the iCAP detected early stage Alzheimer's disease with 72% cross-validated accuracy (p-Value = 3.10E-3). For both assays, iCAP features were enriched for disease-related genes, supporting the assay's relevance for disease research.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bioensayo / Enfermedad de Alzheimer / Esclerosis Amiotrófica Lateral Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans / Male Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bioensayo / Enfermedad de Alzheimer / Esclerosis Amiotrófica Lateral Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans / Male Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos