A systematic approach to identify gaps in neuroimmunology: TNF-α and fear learning deficits, a worked example

The pathophysiology of several neurodegenerative and neuropsychiatric disorders is linked to an altered immune system. However, it is often unclear how the immune system specifically affects these disorders since neuroimmune interactions are very complex. In this paper, we introduce an adjusted version of the adverse outcome pathway (AOP) approach from toxicology to the field of neuroimmunology. A review of the effect of TNF-α on fear learning deficits is used as a worked example to demonstrate how an AOP approach can help identify gaps of knowledge and crucial steps in the pathophysiology of neuroimmunological disorders.

The AOP was constructed in five steps. First, the adverse outcome was formulated clearly and specifically. Second, the link between the molecular initiating event and the adverse outcome was established with a preliminary literature search in the Medline database. Third, a systematic literature search was performed in which we identified 95 relevant articles. Fourth, the main biological processes and relevant key events were identified. Fifth, the links between key events were determined and an AOP network was constructed.

We identified three pathways through which TNF-α may affect fear learning. First, TNF-α receptor activation increases NF-κB levels which increases oxidative stress levels and reduces the activity of glutamate transporters. This alters the synaptic plasticity which is associated with impaired fear acquisition, consolidation, and fear extinction. Second, activation of TNF-α receptors increases the expression and capacity of the serotonin transporter which is linked to impaired fear acquisition, expression, and extinction. Third, TNF-α receptor 1 activation can induce necroptosis, leading to neuroinflammation which is linked to fear learning deficits.

To successfully apply the AOP approach in neuroimmunology we recommend defining adverse outcomes more precisely, establishing stronger connections between key events from various biological processes, incorporating feedforward and feedback loops, and identifying more mechanistic knowledge in later key events. These adjustments are needed to map the complex processes within the field of neuroimmunology and to identify gaps of knowledge.