M
Michelle D. Failla
Researcher at Vanderbilt University Medical Center
Publications - 46
Citations - 1009
Michelle D. Failla is an academic researcher from Vanderbilt University Medical Center. The author has contributed to research in topics: Autism & Medicine. The author has an hindex of 15, co-authored 35 publications receiving 776 citations. Previous affiliations of Michelle D. Failla include New York University & Ohio State University.
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Journal ArticleDOI
IL‐1β associations with posttraumatic epilepsy development: A genetics and biomarker cohort study
Matthew L. Diamond,Anne C. Ritter,Michelle D. Failla,Jennifer A. Boles,Yvette P. Conley,Patrick M. Kochanek,Amy K. Wagner +6 more
TL;DR: It is hypothesized that TBI‐induced inflammation likely contributes to seizure development, and genetic variation in the interleukin‐1beta (IL‐1 β) gene, IL‐1β levels in cerebrospinal fluid and serum, and CSF/serum IL-1β ratios would predict PTE development post‐TBI.
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S100b as a prognostic biomarker in outcome prediction for patients with severe traumatic brain injury.
Akash Goyal,Michelle D. Failla,Christian Niyonkuru,Krutika Amin,Anthony Fabio,Rachel P. Berger,Amy K. Wagner +6 more
TL;DR: Though CSF and serum levels were highly correlated during early time points post-TBI, this association diminished over time and Multivariate logistic regression confirmed CSF S 100b profiles in predicting GOS and DRS and showed mean and peak serum S100b as acute mortality predictors after sTBI.
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Brain-Derived Neurotrophic Factor (BDNF) in Traumatic Brain Injury-Related Mortality: Interrelationships Between Genetics and Acute Systemic and Central Nervous System BDNF Profiles.
TL;DR: BDNF levels predicted mortality, in addition to gene * age interactions, suggesting levels capture additional mortality risk, in the context of age and genetic risk.
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Acute inflammatory biomarker profiles predict depression risk following moderate to severe traumatic brain injury
TL;DR: Acute CSF IBR scores show promise for identifying individuals at risk forPTD and should explore anti-inflammatory treatments for PTD, as well as prevention and screening protocols, and link inflammatory biomarkers to symptom tracking.
Journal ArticleDOI
Variation in the BDNF gene interacts with age to predict mortality in a prospective, longitudinal cohort with severe TBI
Michelle D. Failla,Raj G. Kumar,Andrew B. Peitzman,Yvette P. Conley,Robert E. Ferrell,Amy K. Wagner +5 more
TL;DR: Data suggest complex relationships between BDNF and TBI mortality that interact with age to influence survival predictions beyond clinical variables alone, and evidence supporting dynamic, temporal balances of pro-survival/pro-apoptotic target receptors may explain injury and age-related gene associations.