Model System:

TBI

Reference Type:

Journal article

Accession No.:

J85577

Journal:

Neurorehabilitation and Neural Repair (NNR)

Year, Volume, Issue, Page(s):

, 35, 2, 169-184

Publication Website:

Abstract:

Study assessed whether the trajectory of traumatic brain injury (TBI)-responsive peptides secreted into urine can produce a predictive model of functional recovery during TBI rehabilitation. The multivariate urinary peptidome of 12 individuals with TBI was examined using quantitative peptidomics. Measures were assessed upon admission and discharge from inpatient rehabilitation. A combination of Pavlidis template matching and partial least-squares discriminant analysis was used to build models on Disability Rating Scale (DRS) and Functional Independence Measure (FIM) scores, with participants classified into more- or less-functional improvement groups. The produced models exhibited high sensitivity and specificity with the area under the receiver operator curve being 0.99 for DRS-based and 0.95 for FIM-based models using the top 20 discriminant peptides. Predictive ability for each model was assessed using robust leave-one-out cross-validation with Q2 statistics of 0.64 and 0.62 for DRS-based and FIM-based models, respectively, both with a high predictive accuracy of 0.875. Identified peptides that discriminated improved functional recovery reflected heightened neuroplasticity and synaptic refinement and diminished cell death and neuroinflammation, consistent with postacute TBI pathobiology. Produced models of urine-based peptide measures reflective of ongoing recovery pathobiology can inform on rehabilitation progress after TBI, warranting further study to assess refined stratification across a larger population and efficacy in assessing therapeutic interventions.

Author(s):

Patel, Parantap D. |Stafflinger, Jillian E. |Marwitz, Jennifer H. |Niemeier, Janet P. |Ottens, Andrew K.|

Participating Centers: