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Establishing the variation of blood metrics within UK Biobank to inform cell therapy manufacturing processes

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posted on 2019-10-07, 12:33 authored by Jamie Thurman-Newell, Jon PetzingJon Petzing, David Williams
Aim: Understanding blood component variation as a function of healthy population metrics is necessary to inform biomanufacturing process design. Methods: UK Biobank metrics were examined for variation in white blood cell count as an analog to potential manufacturing starting material input. Results: White Blood Cell count variation of four orders of magnitude (6.65 × 109 cells/liter) was found. Variation increased with age, increased with weight up to 80 kg then decreased. Health state showed a greater absolute number of participants with elevated count. Female range was greater than male. Cell count/distributions were different between centers. Conclusion: This variation and range of process input signals a requirement for new strategies for manufacturing process design and control.

Funding

UK EPSRC/MRC Doctoral Training Centre 743 for Regenerative Medicine at Loughborough University (EP/L105072/1)

UK 744 Biobank for access to UK biometric datasets (Application No. 4047)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Regenerative Medicine

Volume

14

Issue

11

Pages

1029 - 1046

Publisher

Future Science

Version

  • AM (Accepted Manuscript)

Rights holder

© Future Medicine Ltd

Publisher statement

This paper was accepted for publication in the journal Regenerative Medicine and the definitive published version is available at https://doi.org/10.2217/rme-2018-0168

Acceptance date

2019-09-30

Publication date

2019-11-13

Copyright date

2019

ISSN

1746-0751

eISSN

1746-076X

Language

  • en

Depositor

Dr Jon Petzing

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