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。     

人类的致病基因

在人类基因组计划取得重大进展的背景下,有1000多种致病基因被克隆鉴定出来并加以分类。定位克隆,定位候选克隆及新兴的SNP标记均被用于搜索新的致病基因。对肿瘤,神经系统和视觉系统等致病遗传基因的研究已获初步成果。     

长寿与衰老相关分子机制研究进展

长寿是一个复杂的特征,因遗传、环境等因素的差异而不同,理想情况下主要取决于衰老速率。相关分子机制多种多样,主要有生长激素(GH)和胰岛素样生长因子1(IGF-1)途径、Forkhead box O3基因(FOXO3)、AMP活化蛋白激酶(AMPK)、sirtuins家族基因、载脂蛋白E基因(APOE)、端粒酶基因、mTOR信号通路、抑癌基因p53、慢性炎症转录因子NF-κB、自噬-溶酶体信号通路、长链非编码RNA(lncRNAs)、蛋氨酸亚砜还原酶系统(Msr)。同时,环境因素也影响着人类的寿命,例如饮食限制、运动、地理条件、环境压力等。本文从遗传和环境两方面综述影响人类寿命因素的最新研究进展。     

“衰老基因”与“长寿基因”

“衰老基因”与“长寿基因”童坦君,张宗玉（北京医科大学生物化学与分子生物学系,北京１０００８３）关键词衰老基因,长寿基因衰老过程存在着遗传程序控制,这一看法确有证据。至于生物体内是否存在专门引起衰老的“衰老基因”或专使寿命延长的“长寿基因”,近年来也...     

白癜风相关基因研究进展

白癜风是一种多基因遗传性疾病,虽然环境是白癜风的发病因素,遗传因素在白癜风发病机制中也起着重要作用。近年来不断有与白癜风相关基因的报道,综述近几年关于白癜风易感基因定位及相关基因的研究,为进一步研究白癜风的病因提供思路。     

果蝇长寿基因methuselah的研究进展

果蝇Drosophila 3号染色体上methuselah （mth）基因发生突变后, 成年果蝇的平均寿命会延长约35%, 并且对一系列外界胁迫因素如饥饿、 高温、 百草枯（可产生强氧化性自由基）的耐受性会显著增强。研究表明mth编码的Mth蛋白属于B家族G蛋白偶联受体（G protein-coupled receptor, GPCR）, 其内源性配体是sun基因编码的小分子肽Stunted。现已发现敲除sun基因或者过表达Mth受体的肽类拮抗剂均能延长果蝇的寿命。Mth受体是目前发现的首个与动物衰老调控相关的GPCR, 该受体除了具有GPCR典型的7次跨膜结构外, 还具有其独特的胞外结构域, 该胞外结构域能够与多种配体结合。Mth受体的生理功能主要体现为： 维持生物体内环境稳态和新陈代谢的平衡, 参与调控果蝇的寿命、 应激反应、 雄性种系干细胞数量和感知运动能力等。目前对Mth受体的研究尚处于起步阶段, 其工作机理的解析对于我们揭示GPCR如何参与寿命的调节具有重要意义, 为我们开发延长人类寿命的新药提供了可能。鉴于此, 本文主要对果蝇Mth受体的结构功能、 配体及其寿命调控信号转导通路等方面做了总结, 并对Mth受体寿命调控信号通路的实用研究价值做了一些展望。     

人类生精的相关基因

遗传因素在男性的生精过程中起重要作用。目前大多数的研究以小鼠为模型。该以精子发生过程的先后为主线,主要阐述通过基因剔除等技术,对与生殖相关的一些较重要基因功能的认识,并简述目前研究方法的局限性和对未来研究进展的展望。     

线粒体单体型与线粒体相关的人类疾病

线粒体是一种拥有自身遗传体系的半自主细胞器,它的遗传物质线粒体DNA(mitochondrial DNA,mt DNA)随着人类的迁移、隔离、进化而形成了广泛的线粒体基因组多态性,同一祖先所具有的一些相同mt DNA SNP位点的集合称为线粒体单体型.不同的线粒体单体型会在一定程度上影响线粒体功能,从而影响整个细胞的生长,并在某些情况下导致一些个体的病变,例如Leber遗传性视神经病变、母系遗传性耳聋、Ⅱ型糖尿病、帕金森以及各种癌症等复杂疾病.本文列举总结了几种线粒体相关疾病及其与线粒体单体型如A、B、D、F、G、H、J、K、M、N、T、U、Y及一些有特点的多态位点如G11778A、A1555G、T3394C、G10398A等的相关性.     

Genomics of human longevity

In animal models, single-gene mutations in genes involved in insulin/IGF and target of rapamycin signalling pathways extend lifespan to a considerable extent. The genetic, genomic and epigenetic influences on human longevity are expected to be much more complex. Strikingly however, beneficial metabolic and cellular features of long-lived families resemble those in animals for whom the lifespan is extended by applying genetic manipulation and, especially, dietary restriction. Candidate gene studies in humans support the notion that human orthologues from longevity genes identified in lower species do contribute to longevity but that the influence of the genetic variants involved is small. Here we discuss how an integration of novel study designs, labour-intensive biobanking, deep phenotyping and genomic research may provide insights into the mechanisms that drive human longevity and healthy ageing, beyond the associations usually provided by molecular and genetic epidemiology. Although prospective studies of humans from the cradle to the grave have never been performed, it is feasible to extract life histories from different cohorts jointly covering the molecular changes that occur with age from early development all the way up to the age at death. By the integration of research in different study cohorts, and with research in animal models, biological research into human longevity is thus making considerable progress.     

Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals

There is growing interest in studying the genetic contributions to longevity, but limited relevant genes have been identified. In this study, we performed a genetic association study of longevity in a total of 15,651 Chinese individuals. Novel longevity loci, BMPER (rs17169634; p = 7.91 × 10⁻¹⁵) and TMEM43/XPC (rs1043943; p = 3.59 × 10⁻⁸), were identified in a case–control analysis of 11,045 individuals. BRAF (rs1267601; p = 8.33 × 10⁻¹⁵) and BMPER (rs17169634; p = 1.45 × 10⁻¹⁰) were significantly associated with life expectancy in 12,664 individuals who had survival status records. Additional sex‐stratified analyses identified sex‐specific longevity genes. Notably, sex‐differential associations were identified in two linkage disequilibrium blocks in the TOMM40/APOE region, indicating potential differences during meiosis between males and females. Moreover, polygenic risk scores and Mendelian randomization analyses revealed that longevity was genetically causally correlated with reduced risks of multiple diseases, such as type 2 diabetes, cardiovascular diseases, and arthritis. Finally, we incorporated genetic markers, disease status, and lifestyles to classify longevity or not‐longevity groups and predict life span. Our predictive models showed good performance (AUC = 0.86 for longevity classification and explained 19.8% variance of life span) and presented a greater predictive efficiency in females than in males. Taken together, our findings not only shed light on the genetic contributions to longevity but also elucidate correlations between diseases and longevity.     

Human longevity and common variations in the LMNA gene: a meta-analysis

A mutation in the LMNA gene is responsible for the most dramatic form of premature aging, Hutchinson-Gilford progeria syndrome (HGPS). Several recent studies have suggested that protein products of this gene might have a role in normal physiological cellular senescence. To explore further LMNA's possible role in normal aging, we genotyped 16 SNPs over a span of 75.4 kb of the LMNA gene on a sample of long-lived individuals (LLI) (US Caucasians with age ≥ 95 years, N=873) and genetically matched younger controls (N=443). We tested all common nonredundant haplotypes (frequency ≥ 0.05) based on subgroups of these 16 SNPs for association with longevity. The most significant haplotype, based on four SNPs, remained significant after adjustment for multiple testing (OR=1.56, P=2.5 × 10(-5) , multiple-testing-adjusted P=0.0045). To attempt to replicate these results, we genotyped 3619 subjects from four independent samples of LLI and control subjects from (i) the New England Centenarian Study (NECS) (N=738), (ii) the Southern Italian Centenarian Study (SICS) (N=905), (iii) France (N=1103), and (iv) the Einstein Ashkenazi Longevity Study (N= 702). We replicated the association with the most significant haplotype from our initial analysis in the NECS sample (OR=1.60, P=0.0023), but not in the other three samples (P > 0.15). In a meta-analysis combining all five samples, the best haplotype remained significantly associated with longevity after adjustment for multiple testing in the initial and follow-up samples (OR=1.18, P=7.5 × 10(-4) , multiple-testing-adjusted P=0.037). These results suggest that LMNA variants may play a role in human lifespan.     

Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity

The insulin/IGF1 signaling pathways affect lifespan in several model organisms, including worms, flies and mice. To investigate whether common genetic variation in this pathway influences lifespan in humans, we genotyped 291 common variants in 30 genes encoding proteins in the insulin/IGF1 signaling pathway in a cohort of elderly Caucasian women selected from the Study of Osteoporotic Fractures (SOF). The cohort included 293 long-lived cases (lifespan ≥ 92 years (y), mean ± standard deviation (SD) = 95.3 ± 2.2y) and 603 average-lifespan controls (lifespan ≤ 79y, mean = 75.7 ± 2.6y). Variants were selected for genotyping using a haplotype-tagging approach. We found a modest excess of variants nominally associated with longevity. Nominally significant variants were then replicated in two additional Caucasian cohorts including both males and females: the Cardiovascular Health Study and Ashkenazi Jewish Centenarians. An intronic single nucleotide polymorphism in AKT1 , rs3803304, was significantly associated with lifespan in a meta-analysis across the three cohorts (OR = 0.78 95%CI = 0.68–0.89, adjusted P  = 0.043); two intronic single nucleotide polymorphisms in FOXO3A demonstrated a significant lifespan association among women only (rs1935949, OR = 1.35, 95%CI = 1.15–1.57, adjusted P  = 0.0093). These results demonstrate that common variants in several genes in the insulin/IGF1 pathway are associated with human lifespan.     

Mitochondrially encoded methionine is inversely related to longevity in mammals

Methionine residues in proteins react readily with reactive oxygen species making them particularly sensitive to oxidation. However, because oxidized methionine can be reduced back in a catalyzed reaction, it has been suggested that methionine residues act as oxidant scavengers, protecting not only the proteins where they are located but also the surrounding macromolecules. To investigate whether methionine residues may be selected for or against animal longevity, we carried out a meta-examination of mitochondrial genomes from mammalian species. Our analyses unveiled a hitherto unnoticed observation: mitochondrially encoded polypeptides from short-lived species are enriched in methionine when compared with their long-lived counterparts. We show evidence suggesting that methionine addition to proteins in short-lived species, rather than methionine loss from proteins in long-lived species, is behind the reported difference in methionine usage. The inverse association between longevity and methionine, which persisted after correction for body mass and phylogenetic interdependence, was paralleled by the methionine codon AUA, but not by the codon AUG. Although nuclear encoded mitochondrial polypeptides exhibited higher methionine usage than nonmitochondrial proteins, correlation with longevity was only found within the group of those polypeptides located in the inner mitochondrial membrane. Based on these results, we propose that short-lived animals subjected to higher oxidative stress selectively accumulate methionine in their mitochondrially encoded proteins, which supports the role of oxidative damage in aging.     

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.     

Genes encoding longevity: from model organisms to humans

Ample evidence from model organisms has indicated that subtle variation in genes can dramatically influence lifespan. The key genes and molecular pathways that have been identified so far encode for metabolism, maintenance and repair mechanisms that minimize age-related accumulation of permanent damage. Here, we describe the evolutionary conserved genes that are involved in lifespan regulation of model organisms and humans, and explore the reasons of discrepancies that exist between the results found in the various species. In general, the accumulated data have revealed that when moving up the evolutionary ladder, together with an increase of genome complexity, the impact of candidate genes on lifespan becomes smaller. The presence of genetic networks makes it more likely to expect impact of variation in several interacting genes to affect lifespan in humans. Extrapolation of findings from experimental models to humans is further complicated as phenotypes are critically dependent on the setting in which genes are expressed, while laboratory conditions and modern environments are markedly dissimilar. Finally, currently used methodologies may have only little power and validity to reveal genetic variation in the population. In conclusion, although the study of model organisms has revealed potential candidate genetic mechanisms determining aging and lifespan, to what extent they explain variation in human populations is still uncertain.     

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.