Proteomic analysis of cognitive impairment in responders traumatized by the World Trade Center disaster: Biomarkers (non‐neuroimaging) / plasma/serum/urine biomarkers. (7th December 2020)

• Record Type: Journal Article
• Authors: Luft, Benjamin; Clouston, Sean; Kotov, Roman; Bromet, Evelyn; Kuan, Pei‐Fen
• Is Part Of: Alzheimer's & dementia. Volume 16(2020)Supplement 4
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-12-07
• Subjects: Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.040497
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Background: WTC responders, particularly those with long‐term PTSD, have an increased incidence of mild cognitive impairment (MCI), a prognostic marker of later dementia. In this study, we used proteomics to interrogate the interaction between PTSD and MCI in a cohort of disaster responders. Method: The sample included 181 responders to the World Trade Center (WTC) disaster, including 73 with probable PTSD, 61 with MCI, and 81 WTC traumatized controls with neither condition. 34 responders had comorbid PTSD and MCI. PTSD was measured with the Posttraumatic Stress Disorder Checklist (PCL; cut‐point >44). MCI was defined according to NIA‐AA criteria using the Montreal Cognitive Assessment (MoCA; cut‐point <23). In total, we profiled 282 proteins with known involvement in relevant biological processes using the Olink Proseek Multiplex Platform. Specifically, we focused on markers of neurodevelopmental processes, cellular regulation, immunological function, cardiovascular disease, inflammatory processes, neurological diseases. Differential expression analysis was conducted to identify protein biomarkers of PTSD, MCI, and co‐occurring PTSD/MCI. Results: In total, 46 unique proteins were identified from the combined list of PTSD and MCI associated proteins. Thirty‐seven proteins were differentially expressed in PTSD versus exposed controls at p < 0.05; nine were significant after correcting for multiple comparisons using the false discovery rate (FDR < 0.1). Twenty‐five proteins were differentially expressed in MCI versus exposed controls (p < 0.05); 6 attained an FDR < 0.1. After controlling for PTSD, effect size directions for these 25 MCI‐related proteins were unchanged; 13 remained significant at p < 0.05. Conclusion: The current study identified several novel protein biomarkers for PTSD and MCI, which were associated with disease burden characterized by co‐occurrence of the phenotypes. Results indicated that half of the proteins associated with PTSD, and vice versa proteins associated with MCI were found in comorbid PTSD and MCI. The results suggest that identification of protein biomarkers might be useful in development of a plasma‐based assay for early detection of MCI in traumatized patients, especially those showing signs of MCI.