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基于体检指标和个性化衰老生物标志物揭示广西达到极端长寿的人类长寿密码。

Revealing the Longevity Code of Humans with up to Extreme Longevity in Guangxi Based on Physical Examination Indicators and Personalized Biomarkers of Aging.

机构信息

College of Light Industry and Food Engineering, Guangxi University, Nanning, China.

Guangxi University Hospital, Guangxi University, Nanning, China.

出版信息

Biomed Res Int. 2022 May 14;2022:2810379. doi: 10.1155/2022/2810379. eCollection 2022.

Abstract

BACKGROUND

The pursuit of health and longevity is the eternal theme of humanity. Guangxi has a remarkable phenomenon of longevity in long-lived regions and ranks with the highest number of longevity villages in China, thus providing a natural advantage for health longevity research.

METHODS

In this study, we selected 117 natives of a longevity area in Guangxi, covering a large age range (38-118 years old) as subjects to measure peripheral leukocyte telomere length (LTL). Nineteen physical examination indicators and two inflammatory factor levels were measured.

RESULTS

Pearson's analysis revealed a significant negative correlation between age and LTL ( = -0.3694, = 0.003), as well as alanine aminotransferase, albumin, total bilirubin, direct bilirubin, -glutamyltransferase, triglycerides, Interleukin-10, and tumor necrosis factor type-. Systolic blood pressure and blood urea nitrogen were positively correlated with age. In addition, LTL decreased in people aged 38-89 years, and an upward trend was observed in people aged older than 90 years.

CONCLUSIONS

Longevity individuals have characteristics, such as longer LTL, good hepatic function, and lower triglycerides and inflammation levels.

摘要

背景

追求健康和长寿是人类永恒的主题。广西长寿地区长寿现象显著,是中国长寿村最多的省份,为健康长寿研究提供了得天独厚的自然优势。

方法

本研究选取广西长寿地区 117 名本地人作为研究对象,年龄跨度较大(38-118 岁),测量外周血白细胞端粒长度(LTL)。测量了 19 个体检指标和 2 项炎症因子水平。

结果

Pearson 分析显示,年龄与 LTL 呈显著负相关(r=-0.3694,p=0.003),丙氨酸氨基转移酶、白蛋白、总胆红素、直接胆红素、γ-谷氨酰转肽酶、三酰甘油、白细胞介素-10、肿瘤坏死因子-α与年龄呈正相关。此外,38-89 岁人群的 LTL 逐渐降低,90 岁以上人群的 LTL 呈上升趋势。

结论

长寿人群具有端粒较长、肝功能良好、三酰甘油和炎症水平较低等特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb3f/9124135/0f814685c0a8/BMRI2022-2810379.001.jpg

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