FAIR Data Reuse in Traumatic Brain Injury: Exploring Inflammation and Age as Moderators of Recovery in the TRACK-TBI Pilot

the TRACK-TBI Investigators

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


The guiding principle for data stewardship dictates that data be FAIR: findable, accessible, interoperable, and reusable. Data reuse allows researchers to probe data that may have been originally collected for other scientific purposes in order to gain novel insights. The current study reuses the Transforming Research and Clinical Knowledge for Traumatic Brain Injury (TRACK-TBI) Pilot dataset to build upon prior findings and ask new scientific questions. Specifically, we have previously used a multivariate analytics approach to multianalyte serum protein data from the TRACK-TBI Pilot dataset to show that an inflammatory ensemble of biomarkers can predict functional outcome at 3 and 6 months post-TBI. We and others have shown that there are quantitative and qualitative changes in inflammation that come with age, but little is known about how this interaction affects recovery from TBI. Here we replicate the prior proteomics findings with improved missing value analyses and non-linear principal component analysis and then expand upon this work to determine whether age moderates the effect of inflammation on recovery. We show that increased age correlates with worse functional recovery on the Glasgow Outcome Scale-Extended (GOS-E) as well as increased inflammatory signature. We then explore the interaction between age and inflammation on recovery, which suggests that inflammation has a more detrimental effect on recovery for older TBI patients.

Original languageEnglish (US)
Article number768735
JournalFrontiers in Neurology
StatePublished - Nov 3 2021

Bibliographical note

Funding Information:
This study was supported by National Institutes of Health Grants: R01NS088475 (AF); R01NS122888 (AF); UH3NS106899 (AF); and U24NS122732 (AF); Department of Veterans Affairs: 1I01RX002245 (AF) and I01RX002787 (AF); and Wings for Life Foundation and Craig H. Neilsen Foundation (AF), NIH/NINDS F32NS117728 (AC).

Funding Information:
The authors thank Amy J. Markowitz, JD for editorial support and also like to thank the following TRACK-TBI Investigators: Pratik Mukherjee, MD PhD, University of California, San Francisco; Ross Zafonte, DO, Harvard/Spaulding Rehabilitation Hospital; Michael A. McCrea, PhD, Medical College of Wisconsin; Mary Vassar, RN MS, University of California, San Francisco; Neeraj Badjatia, MD, University of Maryland, Baltimore; and Claudia Robertson, MD, Baylor College of Medicine.

Publisher Copyright:
Copyright © 2021 Huie, Chou, Torres-Espin, Nielson, Yuh, Gardner, Diaz-Arrastia, Manley, Ferguson and the TRACK-TBI Investigators.


  • aging
  • data sharing
  • evidence based healthcare
  • inflammation
  • leveraging data science for traumatic brain injury prevention
  • outcomes
  • precision medicine
  • proteomics


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