| Literature DB >> 30781734 |
Manabu Kadoya1, Hidenori Koyama2.
Abstract
Behavioral and psychosocial factors related to development of cardiovascular disease have been gaining increased attention. Notably, sleep is considered to be one of the most important behavioral factors involved in progression of atherosclerosis and cardiovascular events, with autonomic nervous function a potential mechanism. Several studies have shown associations of sleep and autonomic dysfunction with major surrogate markers of atherosclerosis, such as carotid intima-media thickness and arterial stiffness. Endocrinological, immunological, oxidative, inflammatory, and metabolic responses, as well as endothelial dysfunction may mediate the effects of the autonomic nervous system. For this review, we examined recent findings related to sleep, autonomic nervous dysfunction, and atherosclerosis, with the aim of understanding the involved pathophysiological mechanisms.Entities:
Keywords: atherosclerosis; autonomic nervous dysfunction; cardiovascular disease; fatigue; obesity; sleep
Mesh:
Year: 2019 PMID: 30781734 PMCID: PMC6412503 DOI: 10.3390/ijms20040794
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Short sleep duration and low sleep quality, along with resultant autonomic nervous dysfunction may induce progression of atherosclerosis, potentially through endocrinological, immunological, inflammatory, and oxidative response, and endothelial dysfunction.
Association of subjective or objective sleep duration and quality with carotid IMT and baPWV in patients with atherosclerotic risk factors.
| Surrogate Marker of Atherosclerosis | Sleep Parameter | Study Design | Subjects | Sleep Measurement | Comments | References |
|---|---|---|---|---|---|---|
| Carotid intima media thickness (IMT) | Duration | Cross-sectional | Elderly ( | PSQI | Shorter sleep duration (<5 h) increased IMT as compared to longer duration (>7 h) | Nakazaki et al. [ |
| Quality | Cross-sectional | Elderly ( | Self-reported questionnaire | Insomnia associated with IMT as compared with non-insomnia | Nakazaki et al. [ | |
| Apnea-hypopnea | Cross-sectional | Cardiovascular risk factors ( | Apnomonitor | OSA associated with IMT and plaque score | Kadoya et al. [ | |
| Brachial-ankle pulse wave velocity (baPWV) | Quality | Cross-sectional | Type 2 diabetes mellitus ( | PSQI | Poor sleep quality associated with higher PWV | Osonoi et al. [ |
| Prospective | Cardiovascular risk factors ( | Actigraphy | Low sleep quality associated with progression of PWV over 3-year period | Kadoya et al. [ | ||
| Apnea-hypopnea | Cross-sectional | Ischemic stroke ( | Polysomnography | OSA associated with PWV | Chen et al. [ |
PSQI: Pittsburg sleep quality index, EEG: electro-encephalography: OSA: obstructive sleep apnea.
Associations of subjective or objective sleep duration, and quality with carotid IMT and baPWV in healthy populations.
| Surrogate Marker of Atherosclerosis | Sleep Parameter | Study Design | Population Characteristics | Sleep Measurement | Comments | References |
|---|---|---|---|---|---|---|
| Carotid intima media thickness (IMT) | Duration | Cross-sectional | Healthy, middle-aged ( | Actigraphy | Shorter sleep duration (<5 h) increase IMT. | Sands et al. [ |
| General population ( | Long sleep duration (>7 h or >11 h) significantly correlated with the incidence of carotid artery atherosclerosis | Wolff et al. [ | ||||
| Brachial-ankle pulse wave velocity (baPWV) | Duration | Cross-sectional | Health check-up subjects ( | PSQI | Subjective short sleep duration (<5 h) is associated with higher PWV | Kim et al. [ |
| Health check-up subjects ( | Self-Report questionnaire | Long sleep duration (> 8 h) is associated with elevated PWV | Kim et al. [ | |||
| Quality | Cross-sectional | Health check-up subjects (18,106) | PSQI | Poor sleep quality is associated with higher PWV | Kim et al. [ |
PSQI: Pittsburg sleep quality index.
Multiple linear regression analyses of macro TSH and sleep parameters.
| Variables | Sleep Physical Activity | % Sleep | ||
|---|---|---|---|---|
| β |
| β |
| |
| Macro TSH (high = 1. Low = 0) | 0.145 | 0.01 | −0.150 | <0.01 |
| Adjusted | 0.041 | <0.01 | 0.047 | <0.01 |
Multiple linear regression analyses were performed. Covariates in each model included age, male gender, body mass index, presence of hypertension, dyslipidemia, and diabetes mellitus. Higher sleep physical activity and lower % sleep each represent low sleep quality. TSH: thyroid-stimulating hormone. β: standard regression coefficient. Modified from [34].
Figure 2Macro-TSH and sleep quality assessed by actinography in patients with and without diabetes. Macro-TSH is significantly associated with low sleep quality [34]. When compared between non-diabetic (non-DM) and diabetic (DM) patients, all macro-TSH and activity index during sleep (high values represent poor sleep quality) were significantly higher in DM patients. Values shown in each column represent the mean ± standard error. Student’s t-test was used for analyses.
Figure 3Sleep quality assessed by actigraphy is significantly associated with annual changes of high density lipoprotein (HDL) cholesterol and triglyceride level. The parameters of sleep quality were natural logarithm-transformed (ln) to achieve a normal distribution. r: Pearson’s correlation coefficient.
Associations of HRV with carotid IMT and baPWV.
| Surrogate Marker of Atherosclerosis | Study Design | Population | Comments | References |
|---|---|---|---|---|
| Carotid intima media thickness (IMT) | Cross-sectional | Cardiovascular risk factors ( | HRV associated with carotid IMT, independent of sleep quality and apnea-hypopnea. | Kadoya et al. [ |
| Retrospective | Hypertensive ( | HRV associated with renal damage | Melillo et al. [ | |
| Prospective | Type 2 diabetes ( | Decreased HRV may predict progression of carotid atherosclerosis | Gottsater et al. [ | |
| Brachial-ankle pulse wave velocity (baPWV) | Cross-sectional | Type 1 diabetes ( | Lower HRV associated with higher baPWV (no prospective studies available) | Jaiswal et al. [ |
HRV: heart rate variability.
Figure 4Potential impacts of psycho-behavior factors on progression of atherosclerosis. As shown in vertical black arrow, psycho-behavior factors might accelerate the degree of atherosclerotic progression, which is induced by classical risk factors such as diabetes, hypertension, obesity, and others.