How Language Shapes Mechanistic Thinking in Parkinson Disease.

Abstract

Language often incorporates mechanistic assumptions. Terms used to describe protein behavior and properties, such as "accumulation," "replication," "propagation," and "strains," largely borrowed from prion biology and investigated in animal models, have shaped how Parkinson disease is understood. Similarly, clinical constructs such as "phenoconversion," "prodrome," "resilience," and "copathology" embed assumptions about disease onset and pathogenicity. In this article, we explore how our vocabulary has contributed to the transformation of hypotheses into widely accepted conventions. We argue that greater precision in language may help clarify the difference between observation and inference: Aggregated proteins can be described as pathologic deposits representing the insoluble fraction of proteins no longer in their soluble functional state, their variants as polymorphs rather than "strains," and seeding phenomena as nucleation-dependent aggregation or precipitation rather than replication. Such distinctions avoid conflating pathologic observations with etiology and have implications for biomarker interpretation, taxonomy, and therapeutic innovation.