Your browser doesn't support javascript.
loading
Weakly activated core neuroinflammation pathways were identified as a central signaling mechanism contributing to the chronic neurodegeneration in Alzheimer's disease.
Li, Fuhai; Eteleeb, Abdallah M; Buchser, William; Sohn, Christopher; Wang, Guoqiao; Xiong, Chengjie; Payne, Philip R; McDade, Eric; Karch, Celeste M; Harari, Oscar; Cruchaga, Carlos.
Afiliación
  • Li F; Institute for Informatics (I2), Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
  • Eteleeb AM; Department of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
  • Buchser W; NeuroGenomics and Informatics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
  • Sohn C; NeuroGenomics and Informatics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
  • Wang G; Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
  • Xiong C; Hope Center for Neurological Disorders, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
  • Payne PR; Department of Neuroscience, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
  • McDade E; NeuroGenomics and Informatics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
  • Karch CM; Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
  • Harari O; Hope Center for Neurological Disorders, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
  • Cruchaga C; Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Front Aging Neurosci ; 14: 935279, 2022.
Article en En | MEDLINE | ID: mdl-36238934
ABSTRACT

Objectives:

Neuroinflammation signaling has been identified as an important hallmark of Alzheimer's disease (AD) in addition to amyloid ß plaques (Aß) and neurofibrillary tangles (NFTs). However, the molecular mechanisms and biological processes of neuroinflammation remain unclear and have not well delineated using transcriptomics data available. Our objectives are to uncover the core neuroinflammation signaling pathways in AD using integrative network analysis on the transcriptomics data. Materials and

methods:

From a novel perspective, i.e., investigating weakly activated molecular signals (rather than the strongly activated molecular signals), we developed integrative and systems biology network analysis to uncover potential core neuroinflammation signaling targets and pathways in AD using the two large-scale transcriptomics datasets, i.e., Mayo Clinic (77 controls and 81 AD samples) and ROSMAP (97 controls and 260 AD samples).

Results:

Our analysis identified interesting core neuroinflammation signaling pathways, which are not systematically reported in the previous studies of AD. Specifically, we identified 7 categories of signaling pathways implicated on AD and related to virus infection immune response, x-core signaling, apoptosis, lipid dysfunctional, biosynthesis and metabolism, and mineral absorption signaling pathways. More interestingly, most of the genes in the virus infection, immune response, and x-core signaling pathways are associated with inflammation molecular functions. The x-core signaling pathways were defined as a group of 9 signaling proteins MAPK, Rap1, NF-kappa B, HIF-1, PI3K-Akt, Wnt, TGF-beta, Hippo, and TNF, which indicated the core neuroinflammation signaling pathways responding to the low-level and weakly activated inflammation and hypoxia and leading to the chronic neurodegeneration. It is interesting to investigate the detailed signaling cascades of these weakly activated neuroinflammation signaling pathways causing neurodegeneration in a chronic process, and consequently uncover novel therapeutic targets for effective AD treatment and prevention.

Conclusions:

The potential core neuroinflammation and associated signaling targets and pathways were identified using integrative network analysis on two large-scale transcriptomics datasets of AD.
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Aging Neurosci Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Aging Neurosci Año: 2022 Tipo del documento: Article