Neuroimmunology: an expanding frontier in autoimmunity

Area of Science:

• Neuroimmunology
• Neurology
• Autoimmune Disorders

Background:

• Anti-neuronal autoimmune encephalitis (AIE) is an immune-mediated disorder characterized by autoantibodies targeting neuronal surface or synaptic proteins.
• These autoantibodies lead to limbic, multifocal, or diffuse encephalitis, causing a range of neurological dysfunctions.
• AIE presents diagnostic challenges, often mimicking psychiatric illnesses, dementia, or viral encephalitis.

Purpose of the Study:

• To review recent advancements in understanding anti-neuronal autoimmune encephalitis (AIE).
• To focus on the pathogenetic mechanisms and novel associations of AIE with other central nervous system (CNS) disorders.
• To propose an algorithmic approach for detecting and characterizing neuronal cell surface autoantibodies.

Main Methods:

• Literature review of recent advances in anti-neuronal autoimmune encephalitis.
• Analysis of pathogenetic mechanisms involving autoantibodies and neuronal targets.
• Exploration of associations with neurodegeneration, post-HSV encephalitis relapses, and demyelinating diseases.
• Development of a proposed algorithmic approach for autoantibody detection.

Main Results:

• The pathological effects of autoantibodies in AIE are antigen-dependent but often reversible upon antibody removal.
• Ongoing research identifies novel autoantibodies, expanding the spectrum of neurological syndromes associated with AIE.
• AIE is increasingly recognized for its role in the differential diagnosis of various neurological and psychiatric conditions.

Conclusions:

• Anti-neuronal autoimmune encephalitis is a significant group of disorders with diverse clinical presentations.
• Understanding AIE's pathogenesis and associations with other CNS disorders is crucial for diagnosis and management.
• An algorithmic approach can aid in the detection and characterization of relevant neuronal autoantibodies.