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利用KORA和CARLA研究的两时间点代谢组学数据进行衰老研究。

Ageing Investigation Using Two-Time-Point Metabolomics Data from KORA and CARLA Studies.

作者信息

Chak Choiwai Maggie, Lacruz Maria Elena, Adam Jonathan, Brandmaier Stefan, Covic Marcela, Huang Jialing, Meisinger Christa, Tiller Daniel, Prehn Cornelia, Adamski Jerzy, Berger Ursula, Gieger Christian, Peters Annette, Kluttig Alexander, Wang-Sattler Rui

机构信息

Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.

Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.

出版信息

Metabolites. 2019 Mar 5;9(3):44. doi: 10.3390/metabo9030044.

DOI:10.3390/metabo9030044
PMID:30841604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6468431/
Abstract

Ageing, one of the largest risk factors for many complex diseases, is highly interconnected to metabolic processes. Investigating the changes in metabolite concentration during ageing among healthy individuals offers us unique insights to healthy ageing. We aim to identify ageing-associated metabolites that are independent from chronological age to deepen our understanding of the long-term changes in metabolites upon ageing. Sex-stratified longitudinal analyses were performed using fasting serum samples of 590 healthy KORA individuals (317 women and 273 men) who participated in both baseline (KORA S4) and seven-year follow-up (KORA F4) studies. Replication was conducted using serum samples of 386 healthy CARLA participants (195 women and 191 men) in both baseline (CARLA-0) and four-year follow-up (CARLA-1) studies. Generalized estimation equation models were performed on each metabolite to identify ageing-associated metabolites after adjusting for baseline chronological age, body mass index, physical activity, smoking status, alcohol intake and systolic blood pressure. Literature researches were conducted to understand their biochemical relevance. Out of 122 metabolites analysed, we identified and replicated five (C18, arginine, ornithine, serine and tyrosine) and four (arginine, ornithine, PC aa C36:3 and PC ae C40:5) significant metabolites in women and men respectively. Arginine decreased, while ornithine increased in both sexes. These metabolites are involved in several ageing processes: apoptosis, mitochondrial dysfunction, inflammation, lipid metabolism, autophagy and oxidative stress resistance. The study reveals several significant ageing-associated metabolite changes with two-time-point measurements on healthy individuals. Larger studies are required to confirm our findings.

摘要

衰老作为许多复杂疾病的最大风险因素之一,与代谢过程高度相关。研究健康个体衰老过程中代谢物浓度的变化,能为我们提供关于健康衰老的独特见解。我们旨在识别与衰老相关的、独立于实际年龄的代谢物,以加深对衰老后代谢物长期变化的理解。我们对590名参与了基线(KORA S4)和七年随访(KORA F4)研究的健康KORA个体(317名女性和273名男性)的空腹血清样本进行了性别分层纵向分析。使用386名参与了基线(CARLA-0)和四年随访(CARLA-1)研究的健康CARLA参与者(195名女性和191名男性)的血清样本进行了重复验证。对每种代谢物进行广义估计方程模型分析,以在调整了基线实际年龄、体重指数、身体活动、吸烟状况、酒精摄入量和收缩压后识别与衰老相关的代谢物。进行文献研究以了解它们的生化相关性。在分析的122种代谢物中,我们分别在女性和男性中识别并重复验证了5种(C18、精氨酸、鸟氨酸、丝氨酸和酪氨酸)和4种(精氨酸、鸟氨酸、PC aa C36:3和PC ae C40:5)显著代谢物。精氨酸减少,而鸟氨酸在两性中均增加。这些代谢物参与了多个衰老过程:细胞凋亡、线粒体功能障碍、炎症、脂质代谢、自噬和抗氧化应激。该研究通过对健康个体进行两个时间点的测量,揭示了几种与衰老相关的显著代谢物变化。需要更大规模的研究来证实我们的发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4e9/6468431/81f5c2d6f003/metabolites-09-00044-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4e9/6468431/c1394dcd3883/metabolites-09-00044-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4e9/6468431/51872aa60239/metabolites-09-00044-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4e9/6468431/81f5c2d6f003/metabolites-09-00044-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4e9/6468431/c1394dcd3883/metabolites-09-00044-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4e9/6468431/51872aa60239/metabolites-09-00044-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4e9/6468431/81f5c2d6f003/metabolites-09-00044-g003.jpg

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