Radar des Essais Cliniques

The ENIGMA study is a single-centre prospective clinical observational study with the aim to investigate vascular contributions to cognitive decline and dementia. By studying MRI-defined capillary dysfunction and EV profiles, the ENIGMA study links novel imaging and basic research techniques to a clinical cohort of stroke patients. With this study we hope to enhance the understanding of the mechanisms behind post-stroke cognitive decline and dementia.

Post-stroke cognitive impairment (PSCI) is common. However, the underlying pathophysiology remains largely unknown. Understanding how microvascular changes relate to PSCI and finding markers that can predict PSCI, could be a first step towards better screening and management.

Cerebral capillary dysfunction is characterized by limited oxygen extraction from the brain capillaries due to age- and risk factor-related capillary flow heterogeneity. Capillary dysfunction is a pathophysiological feature of cerebral small vessel disease (cSVD) and may play an important role in the vascular mechanisms underlying PSCI. Extracellular vesicles (EVs) carry molecules between cells. EV profiles may change during acute stroke, in the chronic stroke phase, and according to the level of cSVD, and EV profiles may therefore act as disease biomarkers.

The ENIGMA study aims to investigate capillary dysfunction and EV profiles as predictors of cognitive function one year after acute ischemic stroke (AIS) and transient ischemic attack (TIA). Consecutive patients with AIS and TIA are included and followed for one year with follow-up visits at three and 12 months. An MRI is performed at 24 hours and 12 months after admission. EV profiles will be characterised from blood samples drawn at 24 hours and three months after admission. Cognitive function is assessed three and 12 months after AIS and TIA using the Repeatable Battery for the Assessment of Neuropsychological Status and the Montreal Cognitive Assessment (MoCA).

The study has two main objectives: 1) to study associations between capillary dysfunction and PSCI and 2) to assess associations between EV profiles and PSCI.