Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes

Ultrasensitive methods for detection of biomarkers for infectious disease are needed for diagnosing, monitoring and targeting treatment. Here the authors develop a digital assay for inflammatory markers, bacterial DNA and antibotic-resistance genes and apply it to characterise asthma patients and pr...

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Autores principales:	M. Fatih Abasıyanık, Krysta Wolfe, Hoang Van Phan, Jing Lin, Bharathi Laxman, Steven R. White, Philip A. Verhoef, Gökhan M. Mutlu, Bhakti Patel, Savaş Tay
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/b5d1efb0f6d045c4b3695d27b42dc37d
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spelling	oai:doaj.org-article:b5d1efb0f6d045c4b3695d27b42dc37d2021-12-02T15:00:39ZUltrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes10.1038/s41467-020-16124-92041-1723https://doaj.org/article/b5d1efb0f6d045c4b3695d27b42dc37d2020-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16124-9https://doaj.org/toc/2041-1723Ultrasensitive methods for detection of biomarkers for infectious disease are needed for diagnosing, monitoring and targeting treatment. Here the authors develop a digital assay for inflammatory markers, bacterial DNA and antibotic-resistance genes and apply it to characterise asthma patients and predict mortality from septic shock.M. Fatih AbasıyanıkKrysta WolfeHoang Van PhanJing LinBharathi LaxmanSteven R. WhitePhilip A. VerhoefGökhan M. MutluBhakti PatelSavaş TayNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q M. Fatih Abasıyanık Krysta Wolfe Hoang Van Phan Jing Lin Bharathi Laxman Steven R. White Philip A. Verhoef Gökhan M. Mutlu Bhakti Patel Savaş Tay Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes
description	Ultrasensitive methods for detection of biomarkers for infectious disease are needed for diagnosing, monitoring and targeting treatment. Here the authors develop a digital assay for inflammatory markers, bacterial DNA and antibotic-resistance genes and apply it to characterise asthma patients and predict mortality from septic shock.
format	article
author	M. Fatih Abasıyanık Krysta Wolfe Hoang Van Phan Jing Lin Bharathi Laxman Steven R. White Philip A. Verhoef Gökhan M. Mutlu Bhakti Patel Savaş Tay
author_facet	M. Fatih Abasıyanık Krysta Wolfe Hoang Van Phan Jing Lin Bharathi Laxman Steven R. White Philip A. Verhoef Gökhan M. Mutlu Bhakti Patel Savaş Tay
author_sort	M. Fatih Abasıyanık
title	Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes
title_short	Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes
title_full	Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes
title_fullStr	Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes
title_full_unstemmed	Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes
title_sort	ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/b5d1efb0f6d045c4b3695d27b42dc37d
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Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes

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