Mechanistic Understanding of Socioeconomic Disparities in Cardiovascular Disease.
Mechanistic Understanding of Socioeconomic Disparities in Cardiovascular Disease.
复制标题
对心血管疾病社会经济差异的机制理解。
DOI:
10.1016/j.jacc.2019.04.043
复制
发表时间:
2019
影响因子:
24
通讯作者:
Shimbo,Daichi
中科院分区:
文献类型:
--
作者:
Miller,GregoryE;Chen,Edith;Shimbo,Daichi
Demographers have noted socioeconomic disparities in morbidity and mortality for more than a century. But, it was not until Marmot’s pioneering studies of British civil servants began to appear in the 1980s (1, 2) that socioeconomic status (SES) started to receive serious attention as a cardiovascular risk factor. In the ensuing years, we have learned a great deal about the scope and scale of these disparities (3, 4). The gap is large, and it is growing. In a recent meta-analysis of 22 million adults, low education was associated with a 42% to 66% increased risk of cardiovascular disease (CVD)(5, 6). We have also learned a great deal about the relative importance of various mechanisms thought to underlie these disparities. Genetic variations and lifestyle differences both play a role, and so does access to health care. Yet, none of these factors can fully explain the gaps (7). These observations, coupled with animal studies indicating that there is a robust, lasting physiological response to subordination, have led researchers with a focus on health disparities to hypothesize that stressors associated with low SES may contribute directly to CVD pathogenesis (8, 9). Consistent with that view, research has found higher levels of multiple CVD biomarkers in low-SES populations, including endothelial dysfunction, inflammation, and platelet activation (9). But, convincing evidence for this hypothesis is lacking. Against that backdrop, this issue of the Journal features a fascinating and important report from Tawakol et al.(10), examining a putative stressassociated neurobiological pathway connecting low SES with CVD risk. The paper leverages a statistical technique called mediation path analysis to integrate data on neighborhood conditions, whole-body 18F-fluorodeoxyglucose positron emission tomography/computed tomography imaging, and CVD outcomes. In doing so, it offers the most detailed mechanistic account to date of how low SES, a stress exposure,“gets inside of the body” to accelerate CVD progression. Briefly, the results suggest that adverse neighborhood SES factors, such as low median income and high crime rate, induce persistent activation of the amygdala, a brain region that is centrally involved in judging the degree of threat posed by external stimuli. In turn, higher amygdala activation is associated with greater metabolic activity in the bone marrow.Based on previous evidence, the authors suggest that this connection is mediated by the sympathetic nervous system, which, under conditions of threat, causes hematopoietic stem and progenitor cells to egress from bone marrow (11–13). This stress-related mobilization of progenitor cells is selective, and it is dominated by immature myeloid cells with a strong pro-inflammatory skew (14). Once in circulation, these cells migrate to sites of trauma and infection, including atherosclerotic lesions. This chain of events helps to explain the findings in the study by Tawakol et al.(10) that individuals with higher 18F-fluorodeoxyglucose bone marrow uptake show greater metabolic activity in the aortic wall, and over the
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影响因子:
82.9
作者:
通讯作者:
--
DOI:
10.1146/annurev.soc.29.010202.095956
发表时间:
2005
期刊:
Review of Sociology
影响因子:
--
作者:
Mary Pattillo
通讯作者:
Mary Pattillo
影响因子:
--
作者:
Gopal K Singh;M. Siahpush;R. Azuine;Shanita D. Williams
通讯作者:
Shanita D. Williams
影响因子:
3.7
作者:
Gianaros, Peter J.;Manuck, Stephen B.;Hariri, Ahmad R.
通讯作者:
Hariri, Ahmad R.
影响因子:
3.7
作者:
Gianaros, Peter J.;Marsland, Anna L.;Verstynen, Timothy D.
通讯作者:
Verstynen, Timothy D.