Literature DB >> 23707455

Assessment of macrophage migration inhibitory factor in humans: protocol for accurate and reproducible levels.

Julia Sobierajski1, Ulrike B Hendgen-Cotta, Peter Luedike, Pia Stock, Christos Rammos, Christian Meyer, Sandra Kraemer, Christian Stoppe, Jürgen Bernhagen, Malte Kelm, Tienush Rassaf.   

Abstract

The analytical validation of a possible biomarker is the first step in the long translational process from basic science to clinical routine. Although the chemokine-like cytokine macrophage migration inhibitory factor (MIF) has been investigated intensively in experimental approaches to various disease conditions, its transition into clinical research is just at the very beginning. Because of its presence in preformed storage pools, MIF is the first cytokine to be released under various stimulation conditions. In the first proof-of-concept studies, MIF levels correlated with the severity and outcome of various disease states. In a recent small study with acute coronary syndrome patients, elevation of MIF was described as a new factor for risk assessment. When these studies are compared, not only MIF levels in diseased patients differ, but also MIF levels in healthy control groups are inconsistent. Blood MIF concentrations in control groups vary between 0.56 and 95.6 ng/ml, corresponding to a 170-fold difference. MIF concentrations in blood were analyzed by ELISA. Other than the influence of this approach due to method-based variations, the impact of preanalytical processing on MIF concentrations is unclear and has not been systematically studied yet. Before large randomized studies are performed to determine the impact of circulating MIF on prognosis and outcome and before MIF is characterized as a diagnostic marker, an accurate protocol for the determination of reproducible MIF levels needs to be validated. In this study, the measurement of MIF in the blood of healthy volunteers was investigated focusing on the potential influence of critical preanalytical factors such as anticoagulants, storage conditions, freeze/thaw stability, hemolysis, and dilution. We show how to avoid pitfalls in the measurement of MIF and that MIF concentrations are highly susceptible to preanalytical factors. MIF serum concentrations are higher than plasma concentrations and show broader ranges. MIF concentrations are higher in samples processed with latency than in those processed directly and strongly correlate with hemoglobin in plasma. Neither storage temperature nor storage length or dilution or repeated freezing and thawing influenced MIF concentrations in plasma. Preanalytical validation of MIF is essential. In summary, we suggest using plasma and not serum samples when determining circulating MIF and avoiding hemolysis by processing samples immediately after blood drawing.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker; Free radicals; MIF; Plasma; Serum

Mesh:

Substances:

Year:  2013        PMID: 23707455     DOI: 10.1016/j.freeradbiomed.2013.05.018

Source DB:  PubMed          Journal:  Free Radic Biol Med        ISSN: 0891-5849            Impact factor:   7.376


  10 in total

1.  Macrophage Migration Inhibitory Factor Levels Correlate with Stroke Recurrence in Patients with Ischemic Stroke.

Authors:  Guangjie Wang; Chuanbin Li; Yashou Liu; Lei Xia
Journal:  Neurotox Res       Date:  2018-12-01       Impact factor: 3.911

2.  Methodical and pre-analytical characteristics of a multiplex cancer biomarker immunoassay.

Authors:  Natalie Hermann; Katja Dreßen; Frank A Schildberg; Christopher Jakobs; Stefan Holdenrieder
Journal:  World J Methodol       Date:  2014-12-26

3.  Macrophage Migration Inhibitory Factor as a Potential Biomarker in Acetaminophen Overdose: A Pilot Study.

Authors:  Joshua Bloom; Teddy Uzamere; Yasmin Hurd; Alex F Manini
Journal:  Toxicol Commun       Date:  2022-01-05

4.  Modulation of circulating macrophage migration inhibitory factor in the elderly.

Authors:  Christos Rammos; Ulrike B Hendgen-Cotta; Julia Pohl; Matthias Totzeck; Peter Luedike; Volker T Schulze; Malte Kelm; Tienush Rassaf
Journal:  Biomed Res Int       Date:  2014-07-08       Impact factor: 3.411

5.  Filtration of Macrophage Migration Inhibitory Factor (MIF) in Patients with End Stage Renal Disease Undergoing Hemodialysis.

Authors:  Peter Luedike; Christos Rammos; Julia Pohl; Martin Heisler; Matthias Totzeck; Werner Kleophas; Gerd R Hetzel; Malte Kelm; Ulrike Hendgen-Cotta; Tienush Rassaf
Journal:  PLoS One       Date:  2015-10-20       Impact factor: 3.240

6.  Haptenation of Macrophage Migration Inhibitory Factor: A Potential Biomarker for Contact Hypersensitivity.

Authors:  Lorena Ndreu; Samantha Sasse; Ann-Therese Karlberg; Isabella Karlsson
Journal:  Front Toxicol       Date:  2022-04-06

7.  Role of MIF in coordinated expression of hepatic chemokines in patients with alcohol-associated hepatitis.

Authors:  Kyle L Poulsen; Xiude Fan; Christopher D Kibler; Emily Huang; Xiaoqin Wu; Megan R McMullen; Lin Leng; Richard Bucala; Meritxell Ventura-Cots; Josepmaria Argemi; Ramon Bataller; Laura E Nagy
Journal:  JCI Insight       Date:  2021-06-08

8.  Pro-inflammatory action of MIF in acute myocardial infarction via activation of peripheral blood mononuclear cells.

Authors:  David A White; Lu Fang; William Chan; Eric F Morand; Helen Kiriazis; Stephen J Duffy; Andrew J Taylor; Anthony M Dart; Xiao-Jun Du; Xiao-Ming Gao
Journal:  PLoS One       Date:  2013-10-01       Impact factor: 3.240

9.  Renal replacement therapy neutralizes elevated MIF levels in septic shock.

Authors:  Julia Pohl; Maria Papathanasiou; Martin Heisler; Pia Stock; Malte Kelm; Ulrike B Hendgen-Cotta; Tienush Rassaf; Peter Luedike
Journal:  J Intensive Care       Date:  2016-06-16

10.  Predictive potential of macrophage migration inhibitory factor (MIF) in patients with heart failure with preserved ejection fraction (HFpEF).

Authors:  Peter Luedike; Georgios Alatzides; Maria Papathanasiou; Martin Heisler; Julia Pohl; Nils Lehmann; Tienush Rassaf
Journal:  Eur J Med Res       Date:  2018-05-04       Impact factor: 2.175

  10 in total

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