Identification of fecal microbiome signatures associated with familial longevity and candidate metabolites for healthy aging

Gut microbiota associated with longevity plays an important role in the adaptation to damaging stimuli accumulated during the aging process. The mechanism by which the longevity-associated microbiota protects the senescent host remains unclear, while the metabolites of the gut bacteria are of particular interest. Here, an integrated analysis of untargeted metabolomics and 16S rRNA gene sequencing was used to characterize the metabolite and microbiota profiles of long-lived individuals (aged ≥90 years) in comparison to old-elderly (aged 75–89 years), young-elderly (aged 60–74 years), and young to middle-aged (aged ≤59 years) individuals. This novel study constructed both metabolite and microbiota trajectories across aging in populations from Jiaoling county (the seventh longevity town of the world) in China. We found that the long-lived group exhibited remarkably differential metabolomic signatures, highlighting the existence of metabolic heterogeneity with aging. Importantly, we also discovered that long-lived individuals from the familial longevity cohort harbored a microbiome distinguished from that of the general population. Specifically, we identified that the levels of a candidate metabolite, pinane thromboxane A2 (PTA2), which is positively associated with aging, were consistently higher in individuals with familial longevity and their younger descendants than in those of the general population. Furtherly, functional analysis revealed that PTA2 potentiated the efficiency of microglial phagocytosis of β-amyloid 40 and enhanced an anti-inflammatory phenotype, indicating a protective role of PTA2 toward host health. Collectively, our results improve the understanding of the role of the gut microbiome in longevity and may facilitate the development of strategies for healthy aging.     

长寿和衰老基因及相关基因研究进展

简要介绍了长寿和衰老基因及相关基因在酵母、线虫、果蝇和哺乳动物中的最新遗传学研究进展；概述了“生物钟”、端粒和端粒酶在人类长寿和衰老进程中的重要作用。相信随着人类遗传学和分子生物学研究的深入，将有更多的长寿和衰老基因及相关基因被发现，为揭示衰老机制和延年益寿提供依据。     

Genetics and epigenetics of aging and longevity

Evolutionary theories of aging predict the existence of certain genes that provide selective advantage early in life with adverse effect on lifespan later in life (antagonistic pleiotropy theory) or longevity insurance genes (disposable soma theory). Indeed, the study of human and animal genetics is gradually identifying new genes that increase lifespan when overexpressed or mutated: gerontogenes. Furthermore, genetic and epigenetic mechanisms are being identified that have a positive effect on longevity. The gerontogenes are classified as lifespan regulators, mediators, effectors, housekeeping genes, genes involved in mitochondrial function, and genes regulating cellular senescence and apoptosis. In this review we demonstrate that the majority of the genes as well as genetic and epigenetic mechanisms that are involved in regulation of longevity are highly interconnected and related to stress response.     

衰老机制及其学说

不同物种,同一个体的不同组织和细胞,它们的衰老速度并不相同。究其原因,遗传与环境都能影响衰老的进程。个体的平均寿命和物种的最高寿限可以从不同侧面反映衰老的进程。目前认为平均寿命主要与环境相关,而物种最高寿限与遗传相关。从两者的关系看,不良环境影响是通过对遗传物质或其产物的作用而影响衰老的进程。从遗传因素看,衰老并非由单一基因或单一作用所决定,而是一连串基因激活和阻抑及其通过各自产物相互作用的结果。DNA（特别是线粒体DNA）并不像原先设想的那样稳定,目前业已证明,包括基因在内的遗传控制体系可受内、外环境,特别是氧自由基等损伤因素的影响,从而加速衰老的进程。     

Current allele distribution of the human longevity gene APOE in Europe can mainly be explained by ancient admixture

Variation in apolipoprotein E (APOE) has been shown to have the strongest genetic effect on human longevity. The aim of this study was to unravel the evolutionary history of the three major APOE alleles in Europe by analysing ancient samples up to 12,000 years old. We detected significant allele frequency shifts between populations and over time. Our analyses indicated that selection led to large frequency differences between the earliest European populations (i.e., hunter-gatherers vs. first farmers), possibly due to changes in diet/lifestyle. In contrast, the allele distributions in populations from ~4000 BCE onward can mainly be explained by admixture, suggesting that it also played an important role in shaping current APOE variation. In any case, the resulting allele frequencies strongly influence the predisposition for longevity today, likely as a consequence of past adaptations and demographic processes.     

Distinct longevity mechanisms across and within species and their association with aging

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肠道微生物群在人类健康衰老中的作用机制研究进展北大核心

衰老的特征是组织器官的功能衰退以及衰老相关疾病风险的增加,这给维护和促进健康长寿带来一系列新的挑战。尽管进行了广泛的衰老相关研究,但进展有限。人们越来越意识到肠道微生物群的结构和功能积极参与了衰老过程。肠道微生物群紊乱表现为许多与年龄相关的肠外器官轴的衰老。肠道微生物群可以被调节,这暗示了通过肠道微生物群抗衰老是一个可以实现的重要目标。本综述总结了肠道微生物群在不同年龄段中的动态演替,这种动态的肠道微生物群从胎儿到出生和婴儿期开始迅速发展,从断奶期到幼儿期迅速变化,然后建立稳定的成年人菌群,直到随着年龄增长最后发生衰退;肠道微生物群与肠外器官轴(大脑、心脏、肝脏、胰腺、肌肉、皮肤和骨骼)衰老相关疾病,以及通过饮食、粪菌移植和微生态制剂调节肠道微生物群靶向抗衰老的研究进展,以期为调控肠道微生物群抗衰老研究提供参考。     

Heterochronic parabiosis: historical perspective and methodological considerations for studies of aging and longevity

Pairing two animals in parabiosis to test for systemic or circulatory factors from one animal affecting the other animal has been used in scientific studies for at least 150 years. These studies have led to advances in fields as diverse as endocrinology, immunology, and oncology. A variation on the technique, heterochronic parabiosis, whereby two animals of different ages are joined to test for systemic regulators of aspects of aging or age‐related diseases also has almost a century‐long scientific history. In this review, we focus on the history of heterochronic parabiosis, methodological considerations and caveats, and the major advances that have emerged from those studies, including recent advances in our understanding of stem cell aging.     

The G/C915 polymorphism of transforming growth factor beta1 is associated with human longevity: a study in Italian centenarians

Sequence variations in a variety of pro- or anti-inflammatory cytokine genes have been found to influence successful aging and longevity. Because of the role played by the transforming growth factor beta1 (TGF-beta1) cytokine in inflammation and regulation of immune responses, the variability of the TGF-beta1 gene may affect longevity by playing a role in inflamm-aging. Two polymorphisms, G/A -800 and C/T -509, located in the 5' region, and two missense polymorphisms, T/C 869 and G/C 915 which change (Leu > Pro)10 and (Arg > Pro)25, respectively, located in the signal peptide, were analysed in 419 subjects from Northern and Central Italy, including 172 centenarians and 247 younger controls. In addition, the effects of the TGF-beta1 genetic variability on plasma levels of the biologically active form (naturally processed) of this cytokine were studied in 143 randomly selected subjects, including 73 centenarians. Significant differences were found at the +915 site as far as the C allele and GC genotype were concerned, both of them being lower in centenarians than in young controls (P=0.034 and 0.028, respectively), but none of the other tested genetic variants was significantly different between centenarians and controls. Moreover, a particular haplotype combination (G -800/C -509/C 869/C 915) was notably lower in centenarians than in younger individuals (P=0.007). Finally, active TGF-beta1 plasma levels were significantly increased in the elderly group, but no relationship with TGF-beta1 genotypes was observed. These results suggest that, at least in this population, the variability of the TGF-beta1 gene influences longevity and that the age-related increase in plasma levels of active TGF-beta1 seems not to be genetically regulated.     

Why genes extending lifespan in model organisms have not been consistently associated with human longevity and what it means to translation research

A recent paper by Deelen et al. (2014) in Human Molecular Genetics reports the largest genome-wide association study of human longevity to date. While impressive, there is a remarkable lack of association of genes known to considerably extend lifespan in rodents with human longevity, both in this latest study and in genetic association studies in general. Here, I discuss several possible explanations, such as intrinsic limitations in longevity association studies and the complex genetic architecture of longevity. Yet one hypothesis is that the lack of correlation between longevity-associated genes in model organisms and genes associated with human longevity is, at least partly, due to intrinsic limitations and biases in animal studies. In particular, most studies in model organisms are conducted in strains of limited genetic diversity which are then not applicable to human populations. This has important implications and, together with other recent results demonstrating strain-specific longevity effects in rodents due to caloric restriction, it questions our capacity to translate the exciting findings from the genetics of aging to human therapies.     

Gene expression profiles associated with aging and mortality in humans

We investigated the hypothesis that gene expression profiles in cultured cell lines from adults, aged 57–97 years, contain information about the biological age and potential longevity of the donors. We studied 104 unrelated grandparents from 31 Utah CEU (Centre d'Etude du Polymorphisme Humain – Utah) families, for whom lymphoblastoid cell lines were established in the 1980s. Combining publicly available gene expression data from these cell lines, and survival data from the Utah Population Database, we tested the relationship between expression of 2151 always-expressed genes, age, and survival of the donors. Approximately 16% of 2151 expression levels were associated with donor age: 10% decreased in expression with age, and 6% increased with age. Cell division cycle 42 (CDC42) and CORO1A exhibited strong associations both with age at draw and survival after draw (multiple comparisons-adjusted Monte Carlo P -value < 0.05). In general, gene expressions that increased with age were associated with increased mortality. Gene expressions that decreased with age were generally associated with reduced mortality. A multivariate estimate of biological age modeled from expression data was dominated by CDC42 expression, and was a significant predictor of survival after blood draw. A multivariate model of survival as a function of gene expression was dominated by CORO1A expression. This model accounted for approximately 23% of the variation in survival among the CEU grandparents. Some expression levels were negligibly associated with age in this cross-sectional dataset, but strongly associated with inter-individual differences in survival. These observations may lead to new insights regarding the genetic contribution to exceptional longevity.     

NLRP3 inflammasome suppression improves longevity and prevents cardiac aging in male mice

While NLRP3‐inflammasome has been implicated in cardiovascular diseases, its role in physiological cardiac aging is largely unknown. During aging, many alterations occur in the organism, which are associated with progressive impairment of metabolic pathways related to insulin resistance, autophagy dysfunction, and inflammation. Here, we investigated the molecular mechanisms through which NLRP3 inhibition may attenuate cardiac aging. Ablation of NLRP3‐inflammasome protected mice from age‐related increased insulin sensitivity, reduced IGF‐1 and leptin/adiponectin ratio levels, and reduced cardiac damage with protection of the prolongation of the age‐dependent PR interval, which is associated with atrial fibrillation by cardiovascular aging and reduced telomere shortening. Furthermore, old NLRP3 KO mice showed an inhibition of the PI3K/AKT/mTOR pathway and autophagy improvement, compared with old wild mice and preserved Nampt‐mediated NAD⁺ levels with increased SIRT1 protein expression. These findings suggest that suppression of NLRP3 prevented many age‐associated changes in the heart, preserved cardiac function of aged mice and increased lifespan.     

DNA methylation and healthy human aging

The process of aging results in a host of changes at the cellular and molecular levels, which include senescence, telomere shortening, and changes in gene expression. Epigenetic patterns also change over the lifespan, suggesting that epigenetic changes may constitute an important component of the aging process. The epigenetic mark that has been most highly studied is DNA methylation, the presence of methyl groups at CpG dinucleotides. These dinucleotides are often located near gene promoters and associate with gene expression levels. Early studies indicated that global levels of DNA methylation increase over the first few years of life and then decrease beginning in late adulthood. Recently, with the advent of microarray and next‐generation sequencing technologies, increases in variability of DNA methylation with age have been observed, and a number of site‐specific patterns have been identified. It has also been shown that certain CpG sites are highly associated with age, to the extent that prediction models using a small number of these sites can accurately predict the chronological age of the donor. Together, these observations point to the existence of two phenomena that both contribute to age‐related DNA methylation changes: epigenetic drift and the epigenetic clock. In this review, we focus on healthy human aging throughout the lifetime and discuss the dynamics of DNA methylation as well as how interactions between the genome, environment, and the epigenome influence aging rates. We also discuss the impact of determining ‘epigenetic age’ for human health and outline some important caveats to existing and future studies.     

Wide‐scale comparative analysis of longevity genes and interventions

Hundreds of genes, when manipulated, affect the lifespan of model organisms (yeast, worm, fruit fly, and mouse) and thus can be defined as longevity‐associated genes (LAGs). A major challenge is to determine whether these LAGs are model‐specific or may play a universal role as longevity regulators across diverse taxa. A wide‐scale comparative analysis of the 1805 known LAGs across 205 species revealed that (i) LAG orthologs are substantially overrepresented, from bacteria to mammals, compared to the entire genomes or interactomes, and this was especially noted for essential LAGs; (ii) the effects on lifespan, when manipulating orthologous LAGs in different model organisms, were mostly concordant, despite a high evolutionary distance between them; (iii) LAGs that have orthologs across a high number of phyla were enriched in translational processes, energy metabolism, and DNA repair genes; (iv) LAGs that have no orthologs out of the taxa in which they were discovered were enriched in autophagy (Ascomycota/Fungi), G proteins (Nematodes), and neuroactive ligand–receptor interactions (Chordata). The results also suggest that antagonistic pleiotropy might be a conserved principle of aging and highlight the importance of overexpression studies in the search for longevity regulators.     

Daily activity profiles over the lifespan of female medflies as biomarkers of aging and longevity

The relationship between the early-age activity of Mediterranean fruit flies (medflies) or other fruit flies and their lifespan has not been much studied, in contrast to the connections between lifespan and diet, sexual signaling, and reproduction. The objective of this study is to assess intra-day and day-to-day activity profiles of female Mediterranean fruit flies and their role as biomarker of longevity as well as to explore the relationships between these activity profiles, diet, and age-at-death throughout the lifespan. We use advanced statistical methods from functional data analysis (FDA). Three distinct patterns of activity variations in early-age activity profiles can be distinguished. A low-caloric diet is associated with a delayed activity peak, while a high-caloric diet is linked with an earlier activity peak. We find that age-at-death of individual medflies is connected to their activity profiles in early life. An increased risk of mortality is associated with increased activity in early age, as well as with a higher contrast between daytime and nighttime activity. Conversely, medflies are more likely to have a longer lifespan when they are fed a medium-caloric diet and when their daily activity is more evenly distributed across the early-age span and between daytime and nighttime. The before-death activity profile of medflies displays two characteristic before-death patterns, where one pattern is characterized by slowly declining daily activity and the other by a sudden decline in activity that is followed by death.