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Leukocyte extracellular vesicle concentration is inversely associated with liver fibrosis severity in NAFLD

Leukocyte extracellular vesicle concentration is inversely associated with liver fibrosis severity in NAFLD
Leukocyte extracellular vesicle concentration is inversely associated with liver fibrosis severity in NAFLD
The enhanced liver fibrosis (LFS) score and the nonalcoholic fatty liver disease (NAFLD) fibrosis score (NFS) are algorithmic-derived scores for diagnosing severe (F3/F4) liver fibrosis. In a pilot, substudy of the Wessex Evaluation of fatty Liver and Cardiovascular markers in NAFLD with OMacor thErapy (WELCOME) trial, we tested whether measurements of plasma platelet-, endothelial-, and leukocyte-derived extracellular vesicles (EVs) counts are (a) associated with, and predict, F3/F4 fibrosis and (b) able to improve risk prediction of F3/F4 fibrosis in NAFLD, building upon LFS or NFS algorithms. Twenty-six individuals with NAFLD had liver fibrosis severity determined by Kleiner scoring after liver biopsy. Plasma samples stained with CD41a, CD42b, CD31, CD105, CD14, CD16, and CD284 antibodies were analyzed using flow cytometry to measure platelet-, endothelial-, and leukocyte-derived EVs counts. The independence of associations between EVs and F3/F4 fibrosis were tested using logistic regression. Receiver operator characteristic (ROC) curves were used to evaluate F3/F4 fibrosis prediction models. LFS was more strongly associated with F3/F4 fibrosis than NFS (χ2= 15.403, P < 0.0001, and χ2= 6.300, P = 0.012, respectively). The association between LFS and F3/F4 fibrosis was further improved by addition of CD14+ EVs (χ2=20.847,P = 0.016 vs. χ2=12.803,P = 0.015, respectively) or CD16+ EVs (χ2=22.205,P = 0.009 vs. χ2=17.559,P = 0.001, respectively), and the area under the ROC for LFS (AUC = 0.915, se = 0.055, P = 0.001) was increased by the addition of CD14+ or CD16+ EVs (AUC = 0.948, se = 0.042, and P < 0.001 and AUC = 0.967, se = 0.055, P < 0.001, respectively) as predictor variables. In this small preliminary study, CD14+ and CD16+ EV counts show potential to predict liver fibrosis severity with either marker improving the ability of the LFS to identify F3/F4 fibrosis in this small preliminary cohort study.
0741-5400
631-639
Welsh, Joshua
3bbcb204-ddcb-49c9-8cd4-f5e2906a666e
Scorletti, Eleonora
42bb0659-ac67-4a73-bf36-a881fe6c1563
Clough, Geraldine
9f19639e-a929-4976-ac35-259f9011c494
Englyst, Nicola
f84399af-7265-4224-b556-102c3aa272b0
Byrne, Christopher
1370b997-cead-4229-83a7-53301ed2a43c
Welsh, Joshua
3bbcb204-ddcb-49c9-8cd4-f5e2906a666e
Scorletti, Eleonora
42bb0659-ac67-4a73-bf36-a881fe6c1563
Clough, Geraldine
9f19639e-a929-4976-ac35-259f9011c494
Englyst, Nicola
f84399af-7265-4224-b556-102c3aa272b0
Byrne, Christopher
1370b997-cead-4229-83a7-53301ed2a43c

Welsh, Joshua, Scorletti, Eleonora, Clough, Geraldine, Englyst, Nicola and Byrne, Christopher (2018) Leukocyte extracellular vesicle concentration is inversely associated with liver fibrosis severity in NAFLD. Journal of Leukocyte Biology, 104 (3), 631-639. (doi:10.1002/JLB.5A1217-501R).

Record type: Article

Abstract

The enhanced liver fibrosis (LFS) score and the nonalcoholic fatty liver disease (NAFLD) fibrosis score (NFS) are algorithmic-derived scores for diagnosing severe (F3/F4) liver fibrosis. In a pilot, substudy of the Wessex Evaluation of fatty Liver and Cardiovascular markers in NAFLD with OMacor thErapy (WELCOME) trial, we tested whether measurements of plasma platelet-, endothelial-, and leukocyte-derived extracellular vesicles (EVs) counts are (a) associated with, and predict, F3/F4 fibrosis and (b) able to improve risk prediction of F3/F4 fibrosis in NAFLD, building upon LFS or NFS algorithms. Twenty-six individuals with NAFLD had liver fibrosis severity determined by Kleiner scoring after liver biopsy. Plasma samples stained with CD41a, CD42b, CD31, CD105, CD14, CD16, and CD284 antibodies were analyzed using flow cytometry to measure platelet-, endothelial-, and leukocyte-derived EVs counts. The independence of associations between EVs and F3/F4 fibrosis were tested using logistic regression. Receiver operator characteristic (ROC) curves were used to evaluate F3/F4 fibrosis prediction models. LFS was more strongly associated with F3/F4 fibrosis than NFS (χ2= 15.403, P < 0.0001, and χ2= 6.300, P = 0.012, respectively). The association between LFS and F3/F4 fibrosis was further improved by addition of CD14+ EVs (χ2=20.847,P = 0.016 vs. χ2=12.803,P = 0.015, respectively) or CD16+ EVs (χ2=22.205,P = 0.009 vs. χ2=17.559,P = 0.001, respectively), and the area under the ROC for LFS (AUC = 0.915, se = 0.055, P = 0.001) was increased by the addition of CD14+ or CD16+ EVs (AUC = 0.948, se = 0.042, and P < 0.001 and AUC = 0.967, se = 0.055, P < 0.001, respectively) as predictor variables. In this small preliminary study, CD14+ and CD16+ EV counts show potential to predict liver fibrosis severity with either marker improving the ability of the LFS to identify F3/F4 fibrosis in this small preliminary cohort study.

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JLB EV Paper 4th Feb 2018 for Pure - Accepted Manuscript
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Accepted/In Press date: 8 March 2018
e-pub ahead of print date: 30 March 2018
Published date: September 2018

Identifiers

Local EPrints ID: 418805
URI: http://eprints.soton.ac.uk/id/eprint/418805
ISSN: 0741-5400
PURE UUID: 6eb76bc1-bdce-493e-a828-947f4d3c4693
ORCID for Joshua Welsh: ORCID iD orcid.org/0000-0002-1097-9756
ORCID for Geraldine Clough: ORCID iD orcid.org/0000-0002-6226-8964
ORCID for Nicola Englyst: ORCID iD orcid.org/0000-0003-0508-8323
ORCID for Christopher Byrne: ORCID iD orcid.org/0000-0001-6322-7753

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Date deposited: 22 Mar 2018 17:30
Last modified: 16 Mar 2024 06:21

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Contributors

Author: Joshua Welsh ORCID iD
Author: Eleonora Scorletti
Author: Nicola Englyst ORCID iD

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