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高海拔适应减轻了高血压和糖尿病相关贫血的风险。

High-altitude adaptations mitigate risk for hypertension and diabetes-associated anemia.

机构信息

Department of Anthropology, Binghamton University (SUNY), Binghamton, New York, USA.

Ministry of Education Key Laboratory of Contemporary Anthropology, B&R International Joint Laboratory of Eurasian Anthropology, School of Life Science, Fudan University, Shanghai, China.

出版信息

Am J Phys Anthropol. 2020 Jun;172(2):156-164. doi: 10.1002/ajpa.24032. Epub 2020 Apr 23.

Abstract

BACKGROUND

Human populations native to high altitude exhibit numerous genetic adaptations to hypobaric hypoxia. Among Tibetan plateau peoples, these include increased vasodilation and uncoupling of erythropoiesis from hypoxia.

OBJECTIVE/METHODS: We tested the hypothesis that these high-altitude adaptations reduce risk for hypertension and diabetes-associated anemia among the Mosuo, a Tibetan-descended population in the mountains of Southwest China that is experiencing rapid economic change and increased chronic disease risk.

RESULTS

Hypertension was substantially less common among Mosuo than low-altitude Han populations, and models fit to the Han predicted higher probability of hypertension than models fit to the Mosuo. Diabetes was positively associated with anemia among the Han, but not the Mosuo.

CONCLUSION

The Mosuo have lower risk for hypertension and diabetes-associated anemia than the Han, supporting the hypothesis that high-altitude adaptations affecting blood and circulation intersect with chronic disease processes to lower risk for these outcomes. As chronic diseases continue to grow as global health concerns, it is important to investigate how they may be affected by local genetic adaptations.

摘要

背景

生活在高海拔地区的人类群体表现出许多对低氧环境的遗传适应。在青藏高原地区的民族中,这些适应包括血管扩张增加和红细胞生成与缺氧脱耦联。

目的/方法:我们检验了这样一个假设,即这些高原适应可以降低中国西南部山区的摩梭人(一个藏族后裔的群体)患高血压和糖尿病相关贫血的风险,该人群正经历着快速的经济变化和慢性疾病风险的增加。

结果

与低海拔的汉族人群相比,高血压在摩梭人中明显较少见,适合汉族的模型比适合摩梭人的模型预测高血压的可能性更高。在汉族人群中,糖尿病与贫血呈正相关,但在摩梭人中则不然。

结论

与汉族人群相比,摩梭人患高血压和糖尿病相关贫血的风险较低,这支持了这样一个假设,即影响血液和循环的高原适应与慢性病过程相互作用,降低了这些结果的风险。随着慢性病作为全球健康问题的不断增加,研究它们可能受到当地遗传适应的影响非常重要。

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