Literature DB >> 27737505

The use of biomarkers to describe plasma-, red cell-, and blood volume from a simple blood test.

Louisa Margit Lobigs1,2, Pierre-Edouard Sottas3, Pitre Collier Bourdon4,5, Zoran Nikolovski4, Mohamed El-Gingo4, Evdokia Varamenti4, Peter Peeling1, Brian Dawson1, Yorck Olaf Schumacher2.   

Abstract

Plasma volume and red cell mass are key health markers used to monitor numerous disease states, such as heart failure, kidney disease, or sepsis. Nevertheless, there is currently no practically applicable method to easily measure absolute plasma or red cell volumes in a clinical setting. Here, a novel marker for plasma volume and red cell mass was developed through analysis of the observed variability caused by plasma volume shifts in common biochemical measures, selected based on their propensity to present with low variations over time. Once a month for 6 months, serum and whole blood samples were collected from 33 active males. Concurrently, the CO-rebreathing method was applied to determine target levels of hemoglobin mass (HbM) and blood volumes. The variability of 18 common chemistry markers and 27 Full Blood Count variables was investigated and matched to the observed plasma volume variation. After the removal of between-subject variations using a Bayesian model, multivariate analysis identified two sets of 8 and 15 biomarkers explaining 68% and 69% of plasma volume variance, respectively. The final multiparametric model contains a weighting function to allow for isolated abnormalities in single biomarkers. This proof-of-concept investigation describes a novel approach to estimate absolute vascular volumes, with a simple blood test. Despite the physiological instability of critically ill patients, it is hypothesized the model, with its multiparametric approach and weighting function, maintains the capacity to describe vascular volumes. This model has potential to transform volume management in clinical settings. Am. J. Hematol. 92:62-67, 2017.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

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Year:  2017        PMID: 27737505     DOI: 10.1002/ajh.24577

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  4 in total

Review 1.  Blood Biomarker Profiling and Monitoring for High-Performance Physiology and Nutrition: Current Perspectives, Limitations and Recommendations.

Authors:  Charles R Pedlar; John Newell; Nathan A Lewis
Journal:  Sports Med       Date:  2019-12       Impact factor: 11.136

2.  A randomized clinical trial demonstrating cell type specific effects of hyperlipidemia and hyperinsulinemia on pituitary function.

Authors:  Rosemary McDonald; Katherine Kuhn; Thy B Nguyen; Andrew Tannous; Irene Schauer; Nanette Santoro; Andrew P Bradford
Journal:  PLoS One       Date:  2022-05-11       Impact factor: 3.240

3.  Removal of the influence of plasma volume fluctuations for the athlete biological passport and stability of haematological variables in active women taking oral contraception.

Authors:  Basile Moreillon; Tristan Equey; Tiffany Astolfi; Olivier Salamin; Raphael Faiss
Journal:  Drug Test Anal       Date:  2022-01-17       Impact factor: 3.234

4.  Corrected whole blood biomarkers - the equation of Dill and Costill revisited.

Authors:  Pekka Matomäki; Heikki Kainulainen; Heikki Kyröläinen
Journal:  Physiol Rep       Date:  2018-06
  4 in total

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