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本文引用的文献

1
A novel healthy metabolic phenotype developed among a cohort of families enriched for longevity.在一个富含长寿的家族队列中,出现了一种新型的健康代谢表型。
Metabolism. 2019 May;94:28-38. doi: 10.1016/j.metabol.2019.01.010. Epub 2019 Jan 30.
2
A novel healthy blood pressure phenotype in the Long Life Family Study.长寿家族研究中的一种新型健康血压表型。
J Hypertens. 2018 Jan;36(1):43-53. doi: 10.1097/HJH.0000000000001514.
3
Dyspnea in Community-Dwelling Older Persons: A Multifactorial Geriatric Health Condition.社区居住老年人的呼吸困难:一种多因素老年健康状况。
J Am Geriatr Soc. 2016 Oct;64(10):2042-2050. doi: 10.1111/jgs.14290. Epub 2016 Aug 22.
4
Network biology concepts in complex disease comorbidities.网络生物学概念在复杂疾病共病中的应用。
Nat Rev Genet. 2016 Oct;17(10):615-29. doi: 10.1038/nrg.2016.87. Epub 2016 Aug 8.
5
Puzzling role of genetic risk factors in human longevity: "risk alleles" as pro-longevity variants.遗传风险因素在人类长寿中的令人困惑的作用:“风险等位基因”作为促进长寿的变体。
Biogerontology. 2016 Feb;17(1):109-27. doi: 10.1007/s10522-015-9600-1. Epub 2015 Aug 26.
6
Complex systems dynamics in aging: new evidence, continuing questions.衰老中的复杂系统动力学:新证据,持续的问题。
Biogerontology. 2016 Feb;17(1):205-20. doi: 10.1007/s10522-015-9584-x. Epub 2015 May 20.
7
Common genetic variants on 6q24 associated with exceptional episodic memory performance in the elderly.6号染色体长臂24区的常见基因变异与老年人卓越的情景记忆表现相关。
JAMA Neurol. 2014 Dec;71(12):1514-9. doi: 10.1001/jamaneurol.2014.1663.
8
Genome wide association and linkage analyses identified three loci-4q25, 17q23.2, and 10q11.21-associated with variation in leukocyte telomere length: the Long Life Family Study.全基因组关联和连锁分析确定了三个与白细胞端粒长度变化相关的位点:4q25、17q23.2 和 10q11.21:长寿家族研究。
Front Genet. 2014 Jan 17;4:310. doi: 10.3389/fgene.2013.00310. eCollection 2013.
9
Families Enriched for Exceptional Longevity also have Increased Health-Span: Findings from the Long Life Family Study.长寿家族研究发现,拥有异常长寿家族史的人也拥有更长的健康寿命。
Front Public Health. 2013 Sep 30;1:38. doi: 10.3389/fpubh.2013.00038. eCollection 2013.
10
Heritability of and mortality prediction with a longevity phenotype: the healthy aging index.长寿表型的遗传力和死亡率预测:健康衰老指数。
J Gerontol A Biol Sci Med Sci. 2014 Apr;69(4):479-85. doi: 10.1093/gerona/glt117. Epub 2013 Aug 2.

健康老龄化的异质性:比较长寿家族在血压、记忆、肺功能、握力和代谢五个健康老龄化表型中的表现。

Heterogeneity of healthy aging: comparing long-lived families across five healthy aging phenotypes of blood pressure, memory, pulmonary function, grip strength, and metabolism.

机构信息

Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 5126 Public Health, 130 DeSoto Street, Pittsburgh, PA, 15261, USA.

Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.

出版信息

Geroscience. 2019 Aug;41(4):383-393. doi: 10.1007/s11357-019-00086-y. Epub 2019 Jul 22.

DOI:10.1007/s11357-019-00086-y
PMID:31332674
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6815318/
Abstract

Five healthy aging phenotypes were developed in the Long Life Family Study to uncover longevity pathways and determine if healthy aging across multiple systems clustered in a subset of long-lived families. Using blood pressure, memory, pulmonary function, grip strength, and metabolic measures (body mass index, waist circumference and fasting levels of glucose, insulin, triglycerides, lipids, and inflammatory markers), offspring were ranked according to relative health using gender-, age-, and relevant confounder-adjusted z-scores. Based on our prior work, families met a healthy aging phenotype if ≥ 2 and ≥ 50% of their offspring were exceptionally healthy for that respective phenotype. Among 426 families, only two families met criteria for three healthy aging phenotypes and none met criteria for four or more healthy aging phenotypes. Using Spearman correlation, the proportion of offspring within families with exceptionally healthy pulmonary function was correlated with the proportion of offspring within families with exceptional strength (r = 0.19, p = 0.002). The proportion of offspring within families meeting the healthy blood pressure and metabolic phenotypes were also correlated (r = 0.14, p = 0.006), and more families were classified as meeting healthy blood pressure and metabolic phenotypes (Kappa = 0.10, p = 0.02), as well as the healthy pulmonary and blood pressure phenotypes than expected by chance (Kappa = 0.09, p = 0.03). Other phenotypes were weakly correlated (|r| ≤ 0.07) with low pairwise agreement (Kappa ≤ 0.06). Among these families selected for familial longevity, correspondence between healthy aging phenotypes was weak, supporting the heterogeneous nature of longevity and suggesting biological underpinnings of each individual phenotype should be examined separately to determine their shared and unique determinants.

摘要

五种健康衰老表型在长寿家族研究中被开发出来,以揭示长寿途径,并确定多个系统的健康衰老是否在一组长寿家族中聚集。使用血压、记忆、肺功能、握力和代谢指标(体重指数、腰围和空腹血糖、胰岛素、甘油三酯、血脂和炎症标志物),根据性别、年龄和相关混杂因素调整后的 z 分数,根据相对健康对后代进行排名。根据我们之前的工作,如果一个家族有≥2 个且≥50%的后代在该表型中具有异常健康,那么该家族就符合健康衰老表型的标准。在 426 个家族中,只有两个家族符合三种健康衰老表型的标准,没有一个家族符合四种或更多健康衰老表型的标准。使用 Spearman 相关系数,家族中具有异常健康肺功能的后代比例与家族中具有异常强壮的后代比例相关(r=0.19,p=0.002)。家族中具有健康血压和代谢表型的后代比例也呈正相关(r=0.14,p=0.006),并且更多的家族被归类为具有健康血压和代谢表型(Kappa=0.10,p=0.02),以及健康的血压和肺功能表型,这比随机预期的要多(Kappa=0.09,p=0.03)。其他表型与低配对一致性(Kappa≤0.06)的相关性较弱(|r|≤0.07)。在这些被选为具有家族长寿的家族中,健康衰老表型之间的一致性较弱,这支持了长寿的异质性性质,并表明应该分别检查每个个体表型的生物学基础,以确定它们的共同和独特决定因素。