PRospective Observation on CErebral microvaScular Structure and Function

Overview

This is a population-based prospective cohort study, aiming to assess the prevalence, distributional characteristics, and dynamic change of cerebral small vessel dysfunction in a Chinese community population using advanced vascular imaging techniques; meanwhile to investigate the effect of vascular risk factors on cerebral small vessel dysfunction, cardiovascular and cerebrovascular diseases, cognitive dysfunction, and mortality.

Brain health is defined as normal brain structure, function and social adaptation and the absence of major brain diseases. Brain health is a lifespan-wide process that can be objectively measured and subjectively perceived and is determined by socio-psycho-biological factors. Currently, neurological disorders are the first cause of healthy life lost and the second leading cause of death globally, with nearly 9 million people dying each year from brain-related diseases. Prevention of major brain diseases, including stroke and dementia, is first and foremost for brain health management. Notably, cerebral small vessel dysfunction may be an earlier pathologic change for the aforementioned major brain diseases. Cerebral small vessel dysfunction includes increased blood-brain barrier permeability, altered neurovascular coupling, decreased cerebral perfusion, decreased cerebral autoregulation, decreased cerebrovascular reactivity, and altered cerebral resting blood flow. Previous studies have shown that the prevalence of cerebral small vessel dysfunction was as high as 40% to 70% in people with illness but data from the general population remain scarce. Vascular risk factors such as aging, hypertension, diabetes, obesity, dyslipidemia, and insulin resistance have been known as important risk factors for the development of major brain diseases. Whereas, it is unclear whether vascular risk factors will cause these brain diseases through affecting cerebral small vessel function. Thus, this prospective cohort study aims to assess the prevalence, distributional characteristics, and dynamic change of cerebral small vessel dysfunction, and to investigate the effect of vascular risk factors on cerebral small vessel dysfunction, cardiovascular and cerebrovascular diseases, cognitive dysfunction, and mortality in a Chinese community population. In this study, a total of 3500 participants aged 50 to 75 years from villages and communities of Daxing District, Beijing will be enrolled using cluster sampling method. All the participants will be interviewed at baseline and followed up for 8 years. Baseline data will be collected through face-to-face interviews by trained interviewers using a standardized questionnaire. Baseline data include demographics, lifestyle, physical activity, medical history, cardiovascular risk factors, dietary habits, medication use, sleep status, novel coronavirus infection. Cognitive function assessment and neuropsychiatric examination will be performed based on various scales such as the Montreal Cognitive Assessment (MoCA) Scale and Mini-Mental State Examination (MMSE) Scale. Additionally, heart function will be tested using electrocardiogram and color ultrasound. Peripheral vascular examination will be performed to measure ankle-brachial index. Fundus examination will be performed by trained ophthalmologists. Gait and eye movement examination will be performed by trained staff. The body composition will be tested using a body composition analyzer. The samples of fasting blood, morning urine, feces, oral plaque bacteria will be collected at baseline to test genetic and metabolomic markers. An oral glucose tolerance test will be performed to measure blood glucose, insulin, and C-peptide. Brain magnetic resonance imaging (MRI) examination will be performed to detect CSVD imaging markers, craniocarotid plaque and stenosis, neurovascular coupling, and cerebral perfusion. The sequences of brain MRI included 3D-T1, 3D-T2, 3D-FLAIR, DWI, HR-MRA, SWI, resting-state fMRI, DTI, ASL, etc. All MRI scans will be conducted on 3.0 T scanners. Imaging data will be saved in digital imaging and communications in medicine (DICOM) format on discs and be analyzed at the Imaging Research Center of Beijing Tiantan Hospital. Transcranial Doppler ultrasonography will be used to detect cerebral autoregulation and cerebral resting blood flow. Carotid ultrasound will be used to measure carotid artery diameter, carotid intramedullary thickness, carotid systolic maximal flow velocity, carotid end-diastolic velocity, pulsatility index, vascular resistance index, carotid artery plaque, carotid artery stenosis, and blood flow velocity. Routine follow-up will be performed each year to collect cardio-/cerebrovascular diseases and death after enrollment. A further face-to-face interview will be performed at 2, 4, 6, 8 years to collect the data of brain MRI scanning, transcranial Doppler ultrasonography, and cognitive impairment. Meanwhile, standard clinical and neuropsychologic examination will be conducted using the same scale as that at baseline. Fasting blood and morning urine samples will be collected at each follow-up visit following same protocol as that at baseline. The protocol of this study has been approved by the Ethics Committee of Beijing Tiantan Hospital. All participants will provide written informed consents before entering the study.