Whole Blood Expression Pattern of Inflammation and Redox Genes in Mild Alzheimer's Disease

J Inflamm Res. 2021 Nov 20:14:6085-6102. doi: 10.2147/JIR.S334337. eCollection 2021.

Abstract

Background: Although Alzheimer's disease (AD) is associated with alterations of the central nervous system, this disease has an echo in blood that might represent a valuable source of biomarkers for improved diagnosis, prognosis and for monitoring drug response.

Methods: We performed a targeted transcriptomics study on 38 mild Alzheimer's disease (AD) patients and 38 matched controls for evaluating the expression levels of 136 inflammation and 84 redox genes in whole blood. Patients were diagnosed as mild AD based on altered levels of total TAU, phospho-TAU and Abeta(1-42) in cerebrospinal fluid, and Abeta(1-40), Abeta(1-42) and total TAU levels in plasma. Whenever possible, blood and brain comparisons were made using public datasets.

Results: We found 48 inflammation and 34 redox genes differentially expressed in the blood of AD patients vs controls (FC >1.5, p < 0.01), out of which 22 pro-inflammatory and 12 redox genes exhibited FC >2 and p < 0.001. Receiver operating characteristic (ROC) analysis identified nine inflammation and seven redox genes that discriminated between AD patients and controls (area under the curve >0.9). Correlations of the dysregulated inflammation and redox transcripts indicated that RELA may regulate several redox genes including DUOX1 and GSR. Based on the gene expression profile, we have found that the master regulators of inflammation and redox homeostasis, NFκB and NRF2, were significantly disturbed in the blood of AD patients, as well as several zinc finger and helix-loop-helix transcription factors.

Conclusion: The selected inflammation and redox genes might be useful biomarkers for monitoring anti-inflammatory therapy in mild AD.

Keywords: NFkappaB; NRF2; dementia; gene expression; neuroinflammation; oxidative stress.

Grants and funding

Research and publication of the present study was funded by the Romanian Ministry of Research, Innovation and Digitization through the European Regional Development Fund, Competitiveness Operational Program 2014–2020 [the REDBRAIN project, ID: P_37_732].