Skip to main content
Aging and Disease logoLink to Aging and Disease
. 2023 Jun 1;14(3):825–839. doi: 10.14336/AD.2022.1108

Which Factors Influence Healthy Aging? A Lesson from the Longevity Village of Bama in China

Wei Zhang 1,2,4,#,#, Qingyun Huang 1,2,4,#,#, Yongxin Kang 1,3,4,#,#, Hao Li 1,3,4, Guohe Tan 1,2,3,4,*
PMCID: PMC10187713  PMID: 37191421

Abstract

A growing aging population is associated with increasing incidences of aging-related diseases and socioeconomic burdens. Hence, research into healthy longevity and aging is urgently needed. Longevity is an important phenomenon in healthy aging. The present review summarizes the characteristics of longevity in the elderly population in Bama, China, where the proportion of centenarians is 5.7-fold greater than the international standard. We examined the impact of genetic and environmental factors on longevity from multiple perspectives. We proposed that the phenomenon of longevity in this region is of high value for future investigations in healthy aging and aging-related disease and may provide guidance for fostering the establishment and maintenance of a healthy aging society.

Keywords: longevity, bama, healthy aging, gene polymorphism, environment


Virtually every country in the world faces enormous challenges as the global population ages. According to World Population Aging 2019 released by the United Nations and the current trajectory, the population aged over 80 years will triple to 426 million, the population aged 65 years or over will double to 1.5 billion, and one in six people will be older than 65 years by 2050. The health risks posed by aging can bring enormous burdens on families, health systems, and social protection and security. The incidences of age-related cerebro-vascular diseases, type 2 diabetes mellitus (T2DM), cancer, and neurodegenerative diseases are rapidly rising as the elderly population sharply rises [1-5]. As medical technology advances, most of the elderly choose to live longer in sound health. Healthy aging is a crucial component of anti-aging and longevity and has been the ultimate goal of this research field. Researchers have conducted a series of studies on longevity population cohorts from several countries, including China, the United States, Italy, and Japan [6-9]. They used the long-lived population as the research model, summarized their characteristics, explored the potential mechanisms of longevity, and endeavored to elucidate the healthy aging process. Bama, a multi-ethnic village in Guangxi, China, is very famous for the longevity of its local population. The proportion of people aged 100 years or over in Bama is 5.7-fold greater than the internationally defined longevity standard, according to the data of the Seventh Census in China (www.bama.gov.cn/sjfb/tjgb/t9295862.shtml). The longevity phenomena in Bama are intriguing as the region has a closed, unique natural environment and a stable genetic background. Here we review a series of relevant studies on Bama phenomenon, analyze the demographic data about long-lived population using geographic information system (GIS), and further discuss the multiple-dimensional factors including genetic factors, diet, natural environment, social factors, and so on, in order to obtain beneficial lessons from the longevity village of Bama and provide novel insights into healthy aging.

Recently, a public data survey (www.bama.gov.cn/sjfb/tjgb/t9295862.shtml) showed that the long-lived people of Bama have several characteristics in common, as shown in Figure 1. (1) The regional distribution of the long-lived elderly in Bama shows spatial aggregation by using GIS to sort out the data. Bama has typical karst landforms, and limestone rocky mountain and hilly sandstone belts comprise most of the landscape. The hilly sandstone and limestone rocky mountain belts account for ~69% and ~30% of the total karst landform in the area [10]. However, the long-lived population is distributed mainly in the limestone rocky mountain belt. Demographics show that there are approximately 56 persons over 90 years of age per 10,000 in the ten towns of the county situated in the limestone rocky mountain belt (Fig. 1A). About 12 of these individuals are centenarians. There are approximately 34 people over 90 years of age per 10,000 in the hilly sandstone belt and at least two of them are centenarians. (2) They are mostly from ethnic minorities. As of 2019, Bama had 12 ethnic groups including Yao, Zhuang, Han, Miao, Maonan, Mulao, Hui, Shui, and others. The minority population accounted for 84.68% of the total in the county and the Zhuang and Yao populations accounted for 66.30% and 18.08% of the minority population, respectively. The Zhuang and Yao minority accounted for 69% and 16% of the elderly over 90 years of age, respectively, while Chinese Han accounted 15%. Importantly, the Zhuang, Yao, and Han accounted for 56%, 25%, and 19% of the centenarians, respectively (Fig. 1B). Data analysis shows that Yao minority appears to have highest normalized longevity index of the centenarians among the different ethnic groups, implying a positive link between the genetic background of Yao and longevity in Bama. (3) There are gender differences in the distribution of the long-lived population in Bama. Of all centenarians in Bama, 74% are women and 26% are men; the normalized longevity index of women is 2.94 times than men, indicating that women may live longer than men in Bama (Fig. 1C). This finding is basically consistent with the results of prior studies on the relative proportions of men and women in the long-lived population of other regions [11-13]. (4) The long-lived population of Bama is characterized by familial aggregation. Sixty-five families have members who are over 90 years of age. The number of people surnamed Huang, Wei, and Luo are substantially more than that of others, among the 907 people over 90 years of age. The longevity phenomena of these three superfamilies deserves further investigation in the next step. (5) The longevity phenomenon in Bama is unique from an economic perspective. Actually, income has a complex impact on human life expectancy, while Bama is a rural area with a relatively low economic status. As a neighboring county with resembling GDP to that of Bama, Nandan County has a centenarian population density of 8/100,000, which is much lower than Bama, 43/100,000. Additionally, Bama has a relatively closed natural environment, low population mobility, relatively stable genetic background, and well-preserved ethnic culture; therefore, longevity characteristics that uniquely differ from other regions. In general, the elderly people of Bama have relatively long-life expectancy, good physical and mental health, and low prevalence of aging-related diseases [14, 15]. Hence, Bama is an ideal subject for research into healthy aging. We summarize the distribution patterns of the long-lived elderly in Bama, analyzed the potential factors and candidate factors that may affect longevity combining with the local characteristics of Bama, so as to shed light on the future research on longevity and aging, as well as proposal useful strategies promoting healthy aging [16].

Figure 1.

Figure 1.

Distribution patterns of the centenarians in Bama, China. (A) Spatial distribution of the centenarians in Bama. Shown is a hotspot map by GIS. (B) Representative ethnic distribution of the centenarians in distinct ethnic groups of Bama. Left panel, proportion of the centenarians by ethnic group; right panel, data analysis of the normalized longevity index for centenarians. The index is defined as the ratio of the proportion of long-lived persons the indicated group to the proportion of this group in the total population. (C) Gender proportion in the centenarian population of Bama. Left panel, proportion of the centenarians by gender; Right panel, data analysis of the normalized longevity index for centenarians.

1. Genetic factors

Longevity and aging are the consequences of interactions among multiple genetic and environmental factors [17]. Biologists empirically confirmed that lifespan and aging have genetic traits [18, 19]. Genetic traits account for 25% of all factors affecting lifespan [20, 21]. Hence, it is necessary to study lifespan from a genetic perspective. The people living in Bama are known for a family history of longevity. For three consecutive generations, there have been nonagenarians in Bama and the siblings of the elderly there also live long [22]. Bama has relatively stable heredity because of the local geography and ethnic customs. It is useful to dissect out the naturally occurring genetic variation and hereditary features in the long-lived population of Bama that will help to establish the roles of the specific genetic factors in regulating human lifespan. Actually, genetic research on longevity and aging has been conducted worldwide. In the present review, we are firstly focused on the relationship between Bama longevity and genetic factors such as gene polymorphism, DNA methylation, telomere length, and so on [23-27].

1.1 Gene polymorphism

Prior research on Bama focused on the impact of gene polymorphism and lifespan on intermediate cardiovascular disease phenotypes such as blood lipid levels. Several gene single nucleotide polymorphisms (SNPs) may be associated with lifespan and blood lipid parameters of the local population (Fig. 2). Such SNPs were identified by analyzing blood samples drawn from people in Bama at the core of the Hongshui River Basin [23, 24]. People with a family history of exceptional longevity have elevated high-density lipoprotein cholesterol (HDL-C) and low triglyceride (TG) levels [23]. These characteristics may reduce the risk of cardiovascular disease (CVD) in the elderly [28, 29], compared with those without exceptional longevity. The differences in serum HDL-C and TG levels between the two groups may be related to rs584007 and rs4420638 SNPs (Fig. 2) [23]. Consistently, the association between APOC-I rs4420638 and longevity was also reported on long-lived people in Europe [30]. The longevity-related gene FOXO3A has been found to exist eight SNPs, including rs2764264, rs9400239, rs13217795, rs2802288, rs2802292, rs28002290, rs7762395, and rs13220810, that are closely associated with human longevity [31, 32]. Five main haplotypes constructed from these SNPs were found in Bama population; two haplotypes of them, AG and TTTGTC, were found to be strongly linked to exceptional longevity phenomena of Bama [24]. Meanwhile, the minor allelic frequencies (MAFs) of rs2764264, rs9400239, rs13217795, rs2802288, and rs2802292 SNPs of exceptional longevity group were significantly higher than that of control group, showing that these five SNPs are related to exceptional longevity phenomena in Bama (Fig. 2) [24]. This finding was consistent with the observation in European longevity regions [31, 32].

Figure 2.

Figure 2.

Main specific genetic factors are related to longevity in Bama, China.

Bama is a multi-ethnic region. Certain ethnic groups live in relative isolation, have unique lifestyles and diet habits, strict intra-ethnic marriage customs, and distinct ethnic origins and phenotypes. Certain lipid metabolism-related genetic characteristics and genotypes may differ between the ethnic minorities of China and the Han Chinese. Blood lipid profiles differ among ethnic groups [25-27]. About 40-60% of the variation in serum lipid profiles is genetically determined [33, 34]. The A allele carriers of the MGAT1 SNP rs634501 in the Maonan ethnic group have higher APOB and lower APOA1 levels than other ethnicities [25]. The G allele carriers of the APOA1 SNP rs964184 have lower HDL-C levels than other ethnicities [26]. The A allele carriers of the SPTLC3 SNP rs364585 in the Jing ethnic group have higher TC and LDL-C and lower HDL-C levels than other ethnicities [27]. Thus, there may be racial/ethnic-specific associations between SNPs and serum lipid levels. The use of these minority populations facilitates the study of the genomic diversity and population genetics of longevity.

Currently, Apolipoprotein E (APOE) is also regarded as a common longevity-related variant gene that plays an important role in lipoprotein regulation [35]. Its role has been confirmed by the studies about Bama population [36, 37]. The heredity of the APOE genotypes is rather stable in the longevity families of Bama, as evidenced by the fact that there was no statistically significant difference in APOE genotypes frequencies between young and old subjects in the longevity family [38]. A recent gene-based association study of blood lipid levels in > 170,000 individuals with multiple ancestries and in different regions revealed rare coding variants in 35 genes including CD36, CETP, SCARB1, LDLR, and APOC3 related to circulating lipid levels [39]. Variants of the gene encoding angiotensin-converting enzyme (ACE) might also be associated with longevity. A meta-analysis of Caucasians, Chinese, and Koreans disclosed that ACE D alleles and DD genotypes moderately but significantly increase longevity [40]. Certain metabolism- and immune system-related genes are also associated with longevity. A genotype of IGF-1 related to low serum protein levels is overexpressed in long-lived people [41]. A non-synonymous mutation in IGF1R is comparatively more common in female centenarians [42]. The involvement of the immune-related IL-6 and TGF in genetic human lifespan variations was demonstrated in a study on an Italian population [43]. Investigations of the associations among genetic polymorphisms and longevity have been performed globally. As discussed above, emerging evidence suggests that the gene polymorphisms are related in part to longevity in Bama, since a few of gene SNPs have been detected in several studies [23-27]. Further functional studies need to be conducted in the next step that will greatly help to clarify the relationship between gene polymorphism and longevity.

1.2 DNA methylation

Recent studies suggested that DNA methylation is related to age-related sites and longevity [44-46]. In the same area of Bama, the long-lived family had 117 hypermethylated genes compared with non-the control family [47]. A gene annotation analysis showed that these hypermethylated longevity-related genes were enriched in the chemokine signaling and natural killer (NK) cell-mediated cytotoxicity pathways of cellular immunity [47]. Cytotoxic T lymphocytes and NK cells were also detected in the Japanese centenarians with superior resistance to various diseases [48]. Most centenarians maintained good states of lymphocyte proliferation, phagocytosis, and NK cells activity which extended their five-year lifespans [49, 50].

DNA methylation is an epigenetic modification that plays an important role in regulating gene expression [51]. Genes associated with disease occurrence may also be epigenetically modified and implicated in the health promotion and longevity phenotypes [52]. According to the “hypermethylation suppressing gene expression” theory [53, 54], H19 and fructose-6-phospho-2-kinase/fructose-2,6-bisphosphatase (PFKFB4) were downregulated in the people of Bama with a family history of longevity (Fig. 2) [47]. H19 is a disease susceptibility gene that is upregulated in various cancers [55, 56]. H19 methylation and inhibition may help people avoid lethal age-related diseases, thereby increasing the possibility of living longer [47, 57, 58]. PFKFB4 is a key regulatory enzyme of glucose metabolism and the main energy source of various malignant tumor cells [59]. PFKFB4 downregulation inhibits tumor cells through glucose restriction [60, 61]. PFKFB4 and H19 are in a similar state in people with a family history of longevity. PFKFB4 downregulation is a protective factor for the people in Bama as it may protect them from age-dependent malignancies [47]. In contrast, the rates of SIRT6 methylation were significantly decreased at the P2 and P5 CpG in the Bama longevity population. Hence, they had elevated SIRT6 mRNA levels. The level of SIRT6 protein is negatively correlated with methylation rate at the P2 and P5 CpG sites (Fig. 2) [62]. SIRT6, a member of the SIRT family, usually functions as a protein deacylase [63]. It regulates DNA repair, stabilizes the epigenome [64] and, by extension, prevents age-related diseases and extends a healthy lifespan [65]. Low methylation levels of SIRT6 lead to high SIRT6 protein expression. The latter may be a protective factor in the elderly population of Bama. Previous study has sequenced the genome-wide methylation profiles of four Chinese centenarians and four middle-aged controls [66]. They identified 626 regions significantly differing in terms of methylation. A subsequent analysis revealed that the genes associated with these differential methylation regions (DMRs) were significantly enriched in aging-related diseases including CVD, T2DM, stroke, and Alzheimer's disease. A comparison and an analysis of the genome-wide methylation data for Caucasian centenarians validated these discoveries. Previous investigations sought longevity-related genomic variations. The aforementioned studies consistently demonstrated that the elderly had a unique DNA methylation pattern that delays the onset of aging-related diseases and favors longevity by repressing the genes associated with susceptibility to them. DNA methylation and its variations at specific CpG islands were conserved in the offspring of the centenarians [62, 67, 68].

DNA methylation is usually in dynamic equilibrium. As the methylome operates at the interface between the genome and the environment [69], the methylation level may change in response to exercise [70, 71], diet [72], smoking [73, 74], and pollutants [75]. Aging-related diseases caused by epigenetic alterations such as DNA methylation are prevented and controlled by inhibiting or promoting their associated regulatory enzymes [76]. There is growing research interest in the development and administration of epigenetic medicines and diets [76]. Interventions targeting epigenetic information could potentially extend lifespans, counteract aging-related diseases, and favor healthy aging [19].

1.3 Telomere length

Genetic and environmental factors affect telomere length [77]. Average telomere length decreases with age because the telomere tandem repeat "TTAGGG" is lost during cell division (Fig. 2) [78]. Telomere shortening can trigger a number of secondary pro-aging phenomena such as increased DNA damage and genomic instability, cellular senescence and/or apoptosis, etc. [79]. Thus, it is always considered as an indicator for cellular senescence [80-82]. Telomere length was negatively correlated with aging in the Bama population [83]. Long-lived individuals and their offspring had longer telomeres than the general population [84]. In Bama, 70% of the telomere length in is heritable according to a clear maternal and paternal genetic model spanning > 2 generations [83]. Telomerase may preserve telomere length, repair telomeres, and synthesize telomere DNA [85]. Telomeres and telomerase play universal roles in aging characteristics, progeria, and aging-related neurodegenerative diseases and cancers [86]. In Bama, however, the relationships among telomere, telomerase, and longevity are unclear. An earlier study showed that the telomere lengths of German Jewish centenarians and their descendants were longer than those of the control possibly because of synonymous and intron mutations of the telomerase reverse transcriptase gene and telomerase RNA [87]. Another study on the long-lived people of Costa Rica shows that dietary factors and particularly traditional food patterns were related to telomere length and might have helped to prolong the lifespans of the elderly there [88].

Current research on telomeres and aging indicates that telomere dysfunction attenuates mitochondrial biogenesis and function, downregulates genes encoding antioxidant defense, and accelerates aging [89]. Epigenetically, telomeres control aging by regulating SIRT which, in turn, affects metabolism, antioxidant defense, and stress tolerance [90, 91]. Inflammatorily, telomere dysfunction may also stimulate proinflammatory factor production and secretion [92] and generate extrachromosomal fragments that promote autophagic cell death [93]. The studies of telomere length on Bama longevity are shallow, just measure the telomeres length of long-lived people and their offspring, but the specific mechanism is still unclear. Some literatures have suggested that change in leukocyte telomere length may be a more relevant metric than static levels [94, 95]. Hence, conducting in-depth investigations on telomeres and human longevity using the longevity resources of Bama combined with various methods to measure telomere length [96, 97] may provide strategies for the treatment of aging and aging-related diseases and the prognostication of advanced cancers.

2. Dietary patterns

The influence of diet on lifespan is complicated, thus the effects of any single nutrient or food on health should not be overstated [98]. By contrast, the health impact of multiple foods and nutrients in a complete diet merits serious consideration. The long-lived population in Bama consumed a fiber- and polysaccharide-rich diet with "five low, two high" characteristics, namely, low fat, animal protein, calorie, salt, and sugar content and high vitamin and fiber intake [99]. The basic diet in Bama consists of porridge, coarse grains, dark vegetables, and livestock meat (Fig. 3) [99, 100]. In contrast, the characteristic of dietary patterns in developed areas is typically "high oil and high salt". Specialty foods in Bama include hemp (Cannabis sativa L.) seeds, sow thistle (Sonchus oleraceus L.) (Fig. 3) [101], and Bama miniature pig. The residents of Bama use hemp seeds to make edible cooking oil [99]. Hemp seeds grow naturally in the limestone rocky mountain area of Bama and the hemp plants are free of pesticides and fertilizers. Hemp seeds contain the proper ω-6:ω-3 fatty acid (FA) ratio which can increase serum HDL-C, regulate lipid metabolism, and inhibit the production of proinflammatory cytokines [102, 103]. Bitter vegetables such as Sonchus oleraceus L. are widely distributed in Bama. Sonchus oleraceus L. contains abundant antioxidants, ω-3 FA, phenols, and flavonoids [104]. It protects cells from stress-induced aging, inhibits leukocyte recruitment, and has anti-inflammatory efficacy [105, 106]. Sonchus oleraceus L. has potent antioxidant activity as it releases low-MW antioxidants [107]. Diet also regulates gut microbiota community structure and function [108]. The foregoing diet composed of hemp seeds and bitter vegetables reduced the abundance of lipopolysaccharide (LPS)-producing E. coli and increased the abundance of beneficial Bifidobacterium and Lactobacillus in mice [101]. This diet promotes health and longevity, which has also been verified in mice [101].

Figure 3.

Figure 3.

Sankey diagram of the function of special foods and medicinal herbs in Bama, China.

The Mediterranean diet, a widely recommended traditional healthy diet, is also associated with longevity and vitality as it is characterized by high fiber and vitamin intake, low fat intake, and a high ratio of monounsaturated to saturated FA [109]. The Mediterranean diet consists of olive oil, vegetables, fruits, beans, nuts, seeds, fish, and seafood [98]. This dietary pattern resembles that of the Bama diet. The latter emphasizes the intake of vegetables, grains, and vegetable oil but only small quantities of meat. The Mediterranean diet maintains cognitive ability, reduces the risks of CVD and cancer [110, 111], and is strongly associated with lowering mortality in people over 65 years of age [112]. Hence, the effects of a mixed diet rather than single food items or nutrients on health and longevity should be investigated. Future research should explore the correlation between dietary patterns and the incidence rate of age-related diseases in Bama. However, it is difficult and even impractical to separate the influences of diet from complex factors such as lifestyle and cultural customs. Current scientific research on the Bama diet is not systematic. As the "five low, two high" standard of the Bama diet has neither been quantified nor unified, research on its effects on aging and longevity is restricted. Animal models could also be used in the future to segregate the influences of dietary factors from those of lifestyle and cultural customs on longevity and aging in Bama.

3. Medicinal herbs in Bama

The natural environment of Bama has high biodiversity and abundant plant resources with potential medicinal value. There are approximately 562 different medicinal plants in Bama including Lonicera japonica, Zanthoxylum nitidum, Akebia quinata, Polygonati Rhizoma, Smilax glabra, Polygonum multiflorum, Uncaria rhynchophylla, Amomi Fructus, Nervilia fordii, spatholobus Suberectus Dunn, Dendrobium catenatum, and Camellia nitidissima (www.bama.gov.cn/zjbm/zrdl/t6215241.shtml). Many researchers have extracted a large number of natural compounds from these medicinal herbs to explore their effects on diseases. These natural compounds exhibit antioxidant [113-115], anticancer [115-119], antitumor [118, 120], antibacterial [118, 121], anti-inflammatory [122-128], or anti-infection [122] efficacy that may be involved in longevity (Fig. 3). For example, nitidine chloride from Zanthoxylum nitidum can reduce inflammation by inhibiting the NF-κB pathway, as well as inhibit tumorgenesis by inactivating the JAK1/STAT3 pathway [118, 119]. Flavonoids in Camellia nitidissima, Smilax glabra, and Nervilia fordii, were found to prevent inflammation and carcinogenesis by inhibiting the formation of glycation end-products, inactivating the NF-κB and MAPK pathway, and preventing the release of IL-1 and IL-6 [115, 123, 124]. The rhamnocitrin in Nervilia fordii can inhibit the activation of the SOCE-mediated calcineurin/NFATc3 signaling pathway, suppress vascular endothelial activation, and thus may exert anti-inflammatory effects [122]. In fact, people in Bama always prefer to self-treat common illnesses by taking medicine herbs in such an area with limited access to modern medical resources. The medicinal value of herbs needs to be further explored by more studies in the future, providing novel insights into the regulation of lifespan.

4. The natural environment

Environmental factors have an enormous impact on human life expectancy and even alter genetic traits [129]. The correlation between longevity and environment is a hot research topic in modern gerontology, as this association may reflect the proclivity of healthy aging. Bama is in the subtropical zone of China and is characterized by moderate temperatures and abundant rainfall. The woodland has dense plant populations, the residential areas are scattered, and there is only sparse cultivated land. The original natural environment is well preserved and seldom developed and has good air quality. Various unique ecological elements contribute to the harmonious natural habitat in the region. The residents of Bama enjoy leisurely, peaceful lives with less mental anxiety and stress. Thus, the social environment there is calm and serene. The water and soil of Bama abound in trace elements [130], the geomagnetic field has an appropriate "power window" [131], and the sunshine duration is appropriate [132]. These factors affect the quality of human life and may be correlated with the longevity phenomenon observed in Bama. Relevant research on the elderly population in this region will help elucidate the complex influences of the environment on lifespan. These learnings may facilitate the development and implementation of measures preventing unhealthy aging, establish a suitable living environment, and promote a healthful lifestyle.

4.1 Trace elements

Bama is located in the subtropical zone of China and has typical karst landforms [10]. The stratum consists mainly of limestone and carbonate and has a high mineral content [130, 131]. The soil is rich in trace elements such as Ca, Co, Cr, Mg, Mn, Na, I, Fe, and K [130]. The trace elements in soil affect water quality, the atmosphere, and plant, animal, and human health through the food chain [133-136]. Though trace elements comprise only a minuscule portion of the human body, they nonetheless have a significant impact on it. Trace element toxicity and deficiency cause specific and, in certain cases, serious disorders. Magnesium inhibits certain enzymes in lipid metabolism and regulates the function of N-methyl-D-aspartic acid (NMDA) receptors [137, 138]. Thus, Mg helps prevent certain aging-related conditions such as Alzheimer's disease, insulin resistance, T2DM, hypertension, and CVD [139]. A recent study suggested that high Mg intake (39 mg/mL Mg2+ 15 g/L MgCl2) delayed aging in a premature aging model mouse [140]. The soil Cd, Co, Mg and drinking water Co concentrations were significantly higher and the soil and drinking water Na and hair Mg, Na, and Mn concentrations were significantly lower in the longevity than the non-longevity areas in Bama, within a normal range. Adequate soil Mg may be conducive to long lifespans while excess soil and drinking water Na and hair Mg, Mn, and Na may shorten lifespans [130]. Bama has abundant manganese ore. However, Mn ore mining and processing might cause manganese pollution in the air and water, and factory workers and people living adjacent to the mines and smelters may be exposed to excessively high Mn levels. Mn regulates glucose and lipid metabolism, accelerates protein and vitamin synthesis, controls the endocrine system, and maintains normal immune function [141]. Nevertheless, excess Mn crosses the blood-brain barrier (BBB), damages the central nervous system (CNS), and causes learning and memory disorders [142] and Parkinson-like symptoms [143]. Essential trace elements work synergistically in the human body and their levels were in proper balance in the long-lived population. Long-lived people may have a unique "longevity element spectrum" characterized by a healthy balance between the synergistic and antagonistic efficacy of trace elements.

4.2 Geomagnetic intensity

Research in geomagnetic biology evaluates whether human life is affected by the magnetic field of the Earth. Bama is located in a fault zone and has a limestone rocky mountain area on one side and a hilly sandstone area on the other [130, 131]. The limestone rocky mountain area is rich in Mn, Zn, Mg, Fe, and other minerals that are magnetized under the influences of the geomagnetic field. Hence, the geomagnetic intensities of the villages in limestone rocky mountain areas are generally higher than those of the villages in hilly sandstone areas. This pattern is roughly consistent with the spatial distribution of the long-lived population in Bama [131]. A "power window" curve describes the relationship between geomagnetic field intensity and longevity in Bama villages [131]. Nevertheless, few studies to date have investigated this association in Bama. An appropriate geomagnetic field promotes cell growth [144], activates cells [145], balances endocrine disorders [146], promotes blood circulation [144, 147], promotes inflammation regression [148], reduces swelling and pain [149], and regulates blood pressure [150]. However, there is still insufficient evidence to indicate that the predicted geomagnetic density has greater therapeutic efficacy than others. The complexity of the biological effects of the magnetic field makes research on its association with human health challenging. In the future, further analysis of the correlation between the geomagnetic field and the physiological state of Bama population may provide meaningful clues for the impact of magnetic field on human health and aging.

4.3 Sunshine duration

The region of Bama also has a unique sunshine pattern. The long-lived people of Bama tend to congregate in the karst regions of the northern and southwestern parts of the county. These areas have highly variable topography and unevenly distributed sunshine resources. Terrain shading and atmospheric cloud occlusion significantly affect the spatial distribution of sunshine duration, which is characterized by a unique, regular, non-latitudinal pattern. There is a clear seasonal imbalance in the daily real illumination hours in Bama County. The highest values occur in summer (May to September) while the lowest occur in winter (December to February) [132]. Previous research showed that the longevity of the adult citrus whitefly (Dialeurodes citri) decreased with increased sunlight exposure duration [151]. Excessive sunlight exposure increases the risks of skin aging and cancer in humans [152]. The Far-infrared Ray (FIR) generated by appropriate solar radiation increases arterial blood flow, improves peripheral blood circulation and endothelial function, lowers blood pressure, and promotes capillary dilatation [153]. Thus, appropriate sunlight duration may be conducive to human health. The characteristics of sunshine duration in Bama are partially consistent with the geographic distributions of the long-lived people there. Nevertheless, the precise correlations between these factors and longevity remain to be empirically determined.

5. Summary and Perspectives

In general, the factors that influence longevity and lifespan are related to heredity (nature) or environment (nurture) [17, 154]. Here, these above studies conducted on the long-lived population in Bama, China, have given us some important lessons: (1) Several SNPs elevate HDL-C and lower LDL-C and TG levels, which may reduce the risk of cardiovascular diseases; (2) DNA methylation may repress the expression of susceptibility genes and increase that of longevity genes; (3) Telomere length is heritable and may affect antioxidant efficacy, tolerance and inflammation, respectively; (4) The diet pattern consisting of hemp seeds and Sonchus oleraceus L. etc. of Bama is characterized by high fiber, vitamin, but low animal fat and protein, sugar, salt, calorie; (5) Abundant natural compounds extracted from medicinal herbs in Bama, which probably play regulatory roles in anti-oxidation, anti-cancer, anti-inflammatory or other biological effects that may relate to healthy aging. (6) Some beneficial natural environmental factors, including trace elements, geomagnetic intensity, sunshine duration, etc., seem to contribute to the formation of Bama longevity phenomena to some extent.

Of note, the population density of centenarians per 100,000 people in Bama was twice as high as it was in Shanghai according to 2020 census data, despite the socioeconomic level of Bama is far lower and its medical resources is fewer than that of Shanghai. In fact, combining sociological and scientific methods have been used to reduce the error of age statistics in many longevity studies of Bama, including evaluating the bone age, checking registered residence, genealogy, and investigating social relations [23, 155]. This interesting phenomenon indicates that the socioeconomic factor is not the primary determinant among many factors affecting longevity population in Bama. The low economic level is often accompanied by the lack of education [156]. According to the demographics, more than half of long-lived elderly of Bama have no schooling (www.bama.gov.cn/sjfb/tjgb/t9295862.shtml). Thus, it's hard to discuss the direct relationship between school education and longevity in Bama. However, humanistic education seems to be more beneficial from their unique ethnic culture that shapes their belief, thinking, and lifestyle [156, 157], with sustainable trans-generation preservation. Since ancient times, people here believe that benevolent people live longer and thus have little mental stress with a simple lifestyle. Additionally, regular labor has been integrated into their daily life. Taken together, we suggest that more potential factors should be investigated from the Zhuang & Yao culture in future studies on longevity.

The factors affecting longevity are rather complex [158], and it is limited to analyze the phenomenon of longevity only from a single perspective. The probable involvement of numerous and complex factors with little effects are features that will produce many chance findings. In Bama, insufficient long-term follow-up of the population and the limited sample size of the survey population are common problems with the longevity study of Bama as well as other longevity studies worldwide [159-161]. Besides, in studies on longevity, observational research often emerges [162-164], but has disadvantages of subjective judgement [165]. Thus, further research requires more strict screening population mechanism [35]. It is used to collect more longitudinal data accompanied by extensive phenotyping, which would be required to evaluate the joint impact of multiple factors on lifespan and shift the focus from longevity to a better understanding of healthy aging [16, 166, 167].

Future investigations are necessary to establish genetic resource samples, biological, and environmental specimen banks for the long-lived population cohort in Bama to provide standardized biological materials and data for longevity and aging-related research. Go a step further, investigations should endeavor to build and implement a health record sharing and stream processing platform, long-term population queues, and comprehensive analytical systems generating big data and interaction mechanisms. On this basis, the genetic characteristics of longevity in Bama will provide more evidence for the wide genetic heterogeneity characteristic of humans. The latter is the basis of precision medicine [168]. This discipline aims to identify the key genetic determinants of disease and customize interventions and treatments based on these unique genetic variations. Personalized treatment based on unique gene mutation research and multi-target drug development based on medicinal herbs provide new directions for the advancement of gerontology [169]. Using some candidate longevity genes screened from Bama longevity population to explore these genes and the molecular mechanisms of aging can provide novel insights into aging interventions. Additionally, the living environment and habits of the elderly in Bama should be closely examined and evaluated as they are critical indices of the health status of this population and strongly influence the results of the evaluation. Tracking the long-lived population of Bama would also provide a useful tool for related research in other regions, as well as facilitate the design and implementation of a new health management model and a system of real-time, dynamic population data collection. In-depth research into the living environment and lifestyle of the long-lived elderly should aim towards defining a healthy, proactive lifestyle and providing a scientific reference enabling the urban elderly to achieve the goal of healthy aging. The longevity studies in Bama indicate that formulating differentiated population aging strategies may guide the establishment and maintenance of a healthy aging society.

Acknowledgments

This review was supported in part by grants from the National Natural Science Foundation of China (82171 468, 82060253, 82171200).

Footnotes

Conflicts of interest

None of the authors have any conflict of interest related to this project.

References

  • [1].Moskalev A, Stambler I, Caruso C (2020). Innate and Adaptive Immunity in Aging and Longevity: The Foundation of Resilience. Aging Dis, 11:1363-1373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [2].Stakos DA, Stamatelopoulos K, Bampatsias D, Sachse M, Zormpas E, Vlachogiannis NI, et al. (2020). The Alzheimer's Disease Amyloid-Beta Hypothesis in Cardiovascular Aging and Disease: JACC Focus Seminar. J Am Coll Cardiol, 75:952-967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [3].Bellantuono I (2018). Find drugs that delay many diseases of old age. Nature, 554:293-295. [DOI] [PubMed] [Google Scholar]
  • [4].Fane M, Weeraratna AT (2020). How the ageing microenvironment influences tumour progression. Nat Rev Cancer, 20:89-106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5].Heemels MT (2016). Neurodegenerative diseases. Nature, 539:179. [DOI] [PubMed] [Google Scholar]
  • [6].Montesanto A, Passarino G, Senatore A, Carotenuto L, De Benedictis G (2008). Spatial analysis and surname analysis: complementary tools for shedding light on human longevity patterns. Ann Hum Genet, 72:253-260. [DOI] [PubMed] [Google Scholar]
  • [7].Xiao FH, Yu Q, Deng ZL, Yang K, Ye Y, Ge MX, et al. (2022). ETS1 acts as a regulator of human healthy aging via decreasing ribosomal activity. Sci Adv, 8:eabf2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [8].Willcox BJ, Willcox DC, Todoriki H, Fujiyoshi A, Yano K, He Q, et al. (2007). Caloric restriction, the traditional Okinawan diet, and healthy aging: the diet of the world's longest-lived people and its potential impact on morbidity and life span. Ann N Y Acad Sci, 1114:434-455. [DOI] [PubMed] [Google Scholar]
  • [9].Rosero-Bixby L, Dow WH, Rehkopf DH (2013). The Nicoya region of Costa Rica: a high longevity island for elderly males. Vienna Yearb Popul Res, 11:109-136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [10].Lu H, He H, Liu Q, Cai J, Mo C, Liu S, et al. (2022). Geographical distinctions of longevity indicators and their correlation with climatic factors in the area where most Chinese Yao are distributed. Int J Biometeorol, 66:97-110. [DOI] [PubMed] [Google Scholar]
  • [11].Xirocostas ZA, Everingham SE, Moles AT (2020). The sex with the reduced sex chromosome dies earlier: a comparison across the tree of life. Biol Lett, 16:20190867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [12].Austad SN, Fischer KE (2016). Sex Differences in Lifespan. Cell Metab, 23:1022-1033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [13].Barrett EL, Richardson DS (2011). Sex differences in telomeres and lifespan. Aging Cell, 10:913-921. [DOI] [PubMed] [Google Scholar]
  • [14].Ni XL, Zhang L, Wang ZP, Su HB, Pang GF, Lyu Y, et al. (2021). [The study on the distribution characteristics and relevant factors of healthy and long-lived people in multiple regions of Guangxi Zhuang Autonomous Region]. Zhonghua Liu Xing Bing Xue Za Zhi, 42:99-105. [DOI] [PubMed] [Google Scholar]
  • [15].Wu J, Liu J, Qin J, Lan C, Yang H, Yang L (2017). Mental Health Status and Coping Behaviors of the Guangxi Baiku Yao Population in Response to Life Events. Med Sci Monit, 23:580-587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [16].Bou Sleiman M, Roy S, Gao AW, Sadler MC, von Alvensleben GVG, Li H, et al. (2022). Sex- and age-dependent genetics of longevity in a heterogeneous mouse population. Science, 377:eabo3191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [17].Xu Q, Wu C, Zhu Q, Gao R, Lu J, Valles-Colomer M, et al. (2022). Metagenomic and metabolomic remodeling in nonagenarians and centenarians and its association with genetic and socioeconomic factors. Nature Aging, 2:438-452. [DOI] [PubMed] [Google Scholar]
  • [18].Campisi J, Kapahi P, Lithgow GJ, Melov S, Newman JC, Verdin E (2019). From discoveries in ageing research to therapeutics for healthy ageing. Nature, 571:183-192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [19].Yuan J, Chang SY, Yin SG, Liu ZY, Cheng X, Liu XJ, et al. (2020). Two conserved epigenetic regulators prevent healthy ageing. Nature, 579:118-122. [DOI] [PubMed] [Google Scholar]
  • [20].McDaid AF, Joshi PK, Porcu E, Komljenovic A, Li H, Sorrentino V, et al. (2017). Bayesian association scan reveals loci associated with human lifespan and linked biomarkers. Nat Commun, 8:15842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [21].Witten TM, Bonchev D (2007). Predicting aging/longevity-related genes in the nematode Caenorhabditis elegans. Chem Biodivers, 4:2639-2655. [DOI] [PubMed] [Google Scholar]
  • [22].Zhang L, Bai C, Nie C, Zhu X, Yuan H, Sun L, et al. (2020). Identification of cardiovascular health gene variants related to longevity in a Chinese population. Aging (Albany NY), 12:16775-16802. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23].Li Y, Huang Y, Liang X, Long B, Chen S, Lian J, et al. (2017). Apolipoprotein C-I Polymorphism and Its Association with Serum Lipid Levels and Longevity in the Bama Population. Int J Environ Res Public Health, 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [24].Li XJ, Zhang ZY, Qin J, Zhang N, Rong MH, Nong QQ (2010). Correlation between FOXO3A Gene Polymorphisms and Human Longevity in Bama County, Guangxi Province. J Environment Health, 27:54-56. [Google Scholar]
  • [25].Wu J, Yin RX, Zhou YG, Zhang QH, Wu JZ, Chen WX (2018). Association between the MGAT1 rs634501 polymorphism and serum lipid traits in the Chinese Han and Maonan ethnic groups. Int J Clin Exp Pathol, 11:5923-5937. [PMC free article] [PubMed] [Google Scholar]
  • [26].Qiu L, Yin RX, Khounphinith E, Zhang FH, Yang DZ, Pan SL (2018). Association of the APOA1 rs964184 SNP and serum lipid traits in the Chinese Maonan and Han populations. Lipids Health Dis, 17:105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [27].Zhang QH, Yin RX, Gao H, Huang F, Wu JZ, Pan SL, et al. (2017). Association of the SPTLC3 rs364585 polymorphism and serum lipid profiles in two Chinese ethnic groups. Lipids Health Dis, 16:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [28].Navab M, Reddy ST, Van Lenten BJ, Fogelman AM (2011). HDL and cardiovascular disease: atherogenic and atheroprotective mechanisms. Nat Rev Cardiol, 8:222-232. [DOI] [PubMed] [Google Scholar]
  • [29].Duran EK, Aday AW, Cook NR, Buring JE, Ridker PM, Pradhan AD (2020). Triglyceride-Rich Lipoprotein Cholesterol, Small Dense LDL Cholesterol, and Incident Cardiovascular Disease. J Am Coll Cardiol, 75:2122-2135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [30].Beekman M, Blanche H, Perola M, Hervonen A, Bezrukov V, Sikora E, et al. (2013). Genome-wide linkage analysis for human longevity: Genetics of Healthy Aging Study. Aging Cell, 12:184-193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [31].Willcox BJ, Donlon TA, He Q, Chen R, Grove JS, Yano K, et al. (2008). FOXO3A genotype is strongly associated with human longevity. Proc Natl Acad Sci U S A, 105:13987-13992. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [32].Flachsbart F, Caliebe A, Kleindorp R, Blanche H, von Eller-Eberstein H, Nikolaus S, et al. (2009). Association of FOXO3A variation with human longevity confirmed in German centenarians. Proc Natl Acad Sci U S A, 106:2700-2705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [33].Zheng PF, Yin RX, Guan YZ, Wei BL, Liu CX, Deng GX (2020). Association between SLC44A4-NOTCH4 SNPs and serum lipid levels in the Chinese Han and Maonan ethnic groups. Nutr Metab (Lond), 17:105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [34].Pilia G, Chen WM, Scuteri A, Orru M, Albai G, Dei M, et al. (2006). Heritability of cardiovascular and personality traits in 6,148 Sardinians. PLoS Genet, 2:e132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [35].Christensen K, Johnson TE, Vaupel JW (2006). The quest for genetic determinants of human longevity: challenges and insights. Nat Rev Genet, 7:436-448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [36].Hu CY, Zheng XG, Lv ZP, Yang Z, Liang JY, Wei Y, et al. (2007). The study of relation between blood pressure and apolipoprotein E genotypes in long-lived elderly in Bama area of Guangxi. Chinese Journal of Geriatric Heart Brain and Vessel Diseases, 9:11-13. [Google Scholar]
  • [37].Hu CY, Yang Z, Zheng XG, Lv ZP, Liang JY, Pang GF, et al. (2005). Cognitive Ability and Apolipoprotein E Genotypes in Long Lived Elderly in Bama area of Guangxi. Chinese Mental Health Journal, 19:383-386. [Google Scholar]
  • [38].Wang J, Shi L, Zou Y, Tang J, Cai J, Wei Y, et al. (2018). Positive association of familial longevity with the moderate-high HDL-C concentration in Bama Aging Study. Aging (Albany NY), 10:3528-3540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [39].Hindy G, Dornbos P, Chaffin MD, Liu DJ, Wang M, Selvaraj MS, et al. (2022). Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet, 109:81-96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [40].Garatachea N, Marin PJ, Lucia A (2013). The ACE DD genotype and D-allele are associated with exceptional longevity: a meta-analysis. Ageing Res Rev, 12:1079-1087. [DOI] [PubMed] [Google Scholar]
  • [41].Bonafe M, Barbieri M, Marchegiani F, Olivieri F, Ragno E, Giampieri C, et al. (2003). Polymorphic variants of insulin-like growth factor I (IGF-I) receptor and phosphoinositide 3-kinase genes affect IGF-I plasma levels and human longevity: cues for an evolutionarily conserved mechanism of life span control. J Clin Endocrinol Metab, 88:3299-3304. [DOI] [PubMed] [Google Scholar]
  • [42].Suh Y, Atzmon G, Cho MO, Hwang D, Liu B, Leahy DJ, et al. (2008). Functionally significant insulin-like growth factor I receptor mutations in centenarians. Proc Natl Acad Sci U S A, 105:3438-3442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [43].Ruberto S, Santovito A (2021). Association of TGFbeta1 codon 10 (T>C) and IL-10 (G>C) cytokine gene polymorphisms with longevity in a cohort of Italian population. Am J Hum Biol, 33:e23491. [DOI] [PubMed] [Google Scholar]
  • [44].Wilkinson GS, Adams DM, Haghani A, Lu AT, Zoller J, Breeze CE, et al. (2021). DNA methylation predicts age and provides insight into exceptional longevity of bats. Nat Commun, 12:1615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [45].Petkovich DA, Podolskiy DI, Lobanov AV, Lee SG, Miller RA, Gladyshev VN (2017). Using DNA Methylation Profiling to Evaluate Biological Age and Longevity Interventions. Cell Metab, 25:954-960 e956. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [46].McCartney DL, Min JL, Richmond RC, Lu AT, Sobczyk MK, Davies G, et al. (2021). Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging. Genome Biol, 22:194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [47].Li C, Nong Q, Guan B, He H, Zhang Z (2021). Specific Differentially Methylated and Expressed Genes in People with Longevity Family History. Iran J Public Health, 50:152-160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [48].Hashimoto K, Kouno T, Ikawa T, Hayatsu N, Miyajima Y, Yabukami H, et al. (2019). Single-cell transcriptomics reveals expansion of cytotoxic CD4 T cells in supercentenarians. Proc Natl Acad Sci U S A, 116:24242-24251. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [49].Minchenko OH, Ochiai A, Opentanova IL, Ogura T, et al. (2005). Overexpression of 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase-4 in the human breast and colon malignant tumors. Biochimie, 87:1005-1010. [DOI] [PubMed] [Google Scholar]
  • [50].Mendelsohn AR, Larrick JW (2017). Epigenetic Drift Is a Determinant of Mammalian Lifespan. Rejuvenation Res, 20:430-436. [DOI] [PubMed] [Google Scholar]
  • [51].Greenberg MVC, Bourc'his D (2019). The diverse roles of DNA methylation in mammalian development and disease. Nat Rev Mol Cell Biol, 20:590-607. [DOI] [PubMed] [Google Scholar]
  • [52].Coignard J, Lush M, Beesley J, O'Mara TA, Dennis J, Tyrer JP, et al. (2021). A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers. Nat Commun, 12:1078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [53].Zhang W, Qu J, Liu GH, Belmonte JCI (2020). The ageing epigenome and its rejuvenation. Nat Rev Mol Cell Biol, 21:137-150. [DOI] [PubMed] [Google Scholar]
  • [54].Jasiulionis MG (2018). Abnormal Epigenetic Regulation of Immune System during Aging. Front Immunol, 9:197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [55].Ghafouri-Fard S, Esmaeili M, Taheri M (2020). H19 lncRNA: Roles in tumorigenesis. Biomed Pharmacother, 123:109774. [DOI] [PubMed] [Google Scholar]
  • [56].Liu C, Chen L, You Z, Wu Y, Wang C, Zhang G, et al. (2020). Association between lncRNA H19 polymorphisms and cancer susceptibility based on a meta-analysis from 25 studies. Gene, 729:144317. [DOI] [PubMed] [Google Scholar]
  • [57].Singh N, Ramnarine VR, Song JH, Pandey R, Padi SKR, Nouri M, et al. (2021). The long noncoding RNA H19 regulates tumor plasticity in neuroendocrine prostate cancer. Nat Commun, 12:7349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [58].Viereck J, Buhrke A, Foinquinos A, Chatterjee S, Kleeberger JA, Xiao K, et al. (2020). Targeting muscle-enriched long non-coding RNA H19 reverses pathological cardiac hypertrophy. Eur Heart J, 41:3462-3474. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [59].Zhang Y, Hapala J, Brenner H, Wagner W (2017). Individual CpG sites that are associated with age and life expectancy become hypomethylated upon aging. Clin Epigenetics, 9:9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [60].Gao R, Li D, Xun J, Zhou W, Li J, Wang J, et al. (2018). CD44ICD promotes breast cancer stemness via PFKFB4-mediated glucose metabolism. Theranostics, 8:6248-6262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [61].Chesney J, Clark J, Klarer AC, Imbert-Fernandez Y, Lane AN, Telang S (2014). Fructose-2,6-bisphosphate synthesis by 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 4 (PFKFB4) is required for the glycolytic response to hypoxia and tumor growth. Oncotarget, 5:6670-6686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [62].Tang X, Wei Y, Wang J, Chen S, Cai J, Tang J, et al. (2020). Association between SIRT6 Methylation and Human Longevity in a Chinese Population. Public Health Genomics, 23:190-199. [DOI] [PubMed] [Google Scholar]
  • [63].Carrico C, Meyer JG, He W, Gibson BW, Verdin E (2018). The Mitochondrial Acylome Emerges: Proteomics, Regulation by Sirtuins, and Metabolic and Disease Implications. Cell Metab, 27:497-512. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [64].Tian X, Firsanov D, Zhang Z, Cheng Y, Luo L, Tombline G, et al. (2019). SIRT6 Is Responsible for More Efficient DNA Double-Strand Break Repair in Long-Lived Species. Cell, 177:622-638 e622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [65].Kanfi Y, Naiman S, Amir G, Peshti V, Zinman G, Nahum L, et al. (2012). The sirtuin SIRT6 regulates lifespan in male mice. Nature, 483:218-221. [DOI] [PubMed] [Google Scholar]
  • [66].Xiao FH, He YH, Li QG, Wu H, Luo LH, Kong QP (2015). A genome-wide scan reveals important roles of DNA methylation in human longevity by regulating age-related disease genes. PLoS One, 10:e0120388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [67].Terry DF, Wilcox MA, McCormick MA, Pennington JY, Schoenhofen EA, Andersen SL, et al. (2004). Lower all-cause, cardiovascular, and cancer mortality in centenarians' offspring. J Am Geriatr Soc, 52:2074-2076. [DOI] [PubMed] [Google Scholar]
  • [68].Gentilini D, Mari D, Castaldi D, Remondini D, Ogliari G, Ostan R, et al. (2013). Role of epigenetics in human aging and longevity: genome-wide DNA methylation profile in centenarians and centenarians' offspring. Age (Dordr), 35:1961-1973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [69].Jones MJ, Goodman SJ, Kobor MS (2015). DNA methylation and healthy human aging. Aging Cell, 14:924-932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [70].Barres R, Yan J, Egan B, Treebak JT, Rasmussen M, Fritz T, et al. (2012). Acute exercise remodels promoter methylation in human skeletal muscle. Cell Metab, 15:405-411. [DOI] [PubMed] [Google Scholar]
  • [71].Urdinguio RG, Tejedor JR, Fernandez-Sanjurjo M, Perez RF, Penarroya A, Ferrero C, et al. (2021). Physical exercise shapes the mouse brain epigenome. Mol Metab, 54:101398. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [72].Pauwels S, Ghosh M, Duca RC, Bekaert B, Freson K, Huybrechts I, et al. (2017). Maternal intake of methyl-group donors affects DNA methylation of metabolic genes in infants. Clin Epigenetics, 9:16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [73].Joubert BR, Felix JF, Yousefi P, Bakulski KM, Just AC, Breton C, et al. (2016). DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis. Am J Hum Genet, 98:680-696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [74].Elliott HR, Tillin T, McArdle WL, Ho K, Duggirala A, Frayling TM, et al. (2014). Differences in smoking associated DNA methylation patterns in South Asians and Europeans. Clin Epigenetics, 6:4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [75].Plusquin M, Guida F, Polidoro S, Vermeulen R, Raaschou-Nielsen O, Campanella G, et al. (2017). DNA methylation and exposure to ambient air pollution in two prospective cohorts. Environ Int, 108:127-136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [76].Pal S, Tyler JK (2016). Epigenetics and aging. Sci Adv, 2:e1600584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [77].Cheng F, Carroll L, Joglekar MV, Januszewski AS, Wong KK, Hardikar AA, et al. (2021). Diabetes, metabolic disease, and telomere length. Lancet Diabetes Endocrinol, 9:117-126. [DOI] [PubMed] [Google Scholar]
  • [78].Liu B, He Y, Wang Y, Song H, Zhou ZH, Feigon J (2022). Structure of active human telomerase with telomere shelterin protein TPP1. Nature, 604:578-583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [79].Lopez-Otin C, Blasco MA, Partridge L, Serrano M, Kroemer G (2013). The hallmarks of aging. Cell, 153:1194-1217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [80].Nersisyan L (2016). Integration of Telomere Length Dynamics into Systems Biology Framework: A Review. Gene Regul Syst Bio, 10:35-42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [81].Vidacek NS, Nanic L, Ravlic S, Sopta M, Geric M, Gajski G, et al. (2017). Telomeres, Nutrition, and Longevity: Can We Really Navigate Our Aging? J Gerontol A Biol Sci Med Sci, 73:39-47. [DOI] [PubMed] [Google Scholar]
  • [82].Barrett EL, Burke TA, Hammers M, Komdeur J, Richardson DS (2013). Telomere length and dynamics predict mortality in a wild longitudinal study. Mol Ecol, 22:249-259. [DOI] [PubMed] [Google Scholar]
  • [83].Luo XQ, Wu HY, Luo H, Peng JH, Liu CW, Yin RX, et al. (2014). The inheritance mode of buccal cell telomere length in Guangxi Zhuang families. Chinese Journal of Gerontology, 33:6073-6075. [Google Scholar]
  • [84].Nong QQ, Chen XD, He M, Qin J, Zhang ZY, Li CH, et al. (2010). Telomere length of peripheral blood leukocytes among persons living in Bama county of Guangxi. Chinese Journal of Public Health, 26:973-974. [Google Scholar]
  • [85].Gonzalez-Garcia MP, Pavelescu I, Canela A, Sevillano X, Leehy KA, Nelson ADL, et al. (2015). Single-cell telomere-length quantification couples telomere length to meristem activity and stem cell development in Arabidopsis. Cell Rep, 11:977-989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [86].Chakravarti D, LaBella KA, DePinho RA (2021). Telomeres: history, health, and hallmarks of aging. Cell, 184:306-322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [87].Atzmon G, Cho M, Cawthon RM, Budagov T, Katz M, Yang X, et al. (2010). Evolution in health and medicine Sackler colloquium: Genetic variation in human telomerase is associated with telomere length in Ashkenazi centenarians. Proc Natl Acad Sci U S A, 107 Suppl 1:1710-1717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [88].Ruiz-Narvaez EA, Baylin A, Azofeifa J, Leal A, Rosero-Bixby L (2021). Diet and Leukocyte Telomere Length in a Population with Extended Longevity: The Costa Rican Longevity and Healthy Aging Study (CRELES). Nutrients, 13:2585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [89].Sahin E, Colla S, Liesa M, Moslehi J, Muller FL, Guo M, et al. (2011). Telomere dysfunction induces metabolic and mitochondrial compromise. Nature, 470:359-365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [90].Houtkooper RH, Pirinen E, Auwerx J (2012). Sirtuins as regulators of metabolism and healthspan. Nat Rev Mol Cell Biol, 13:225-238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [91].Amano H, Sahin E (2019). Telomeres and sirtuins: at the end we meet again. Mol Cell Oncol, 6:e1632613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [92].Coppe JP, Desprez PY, Krtolica A, Campisi J (2010). The senescence-associated secretory phenotype: the dark side of tumor suppression. Annu Rev Pathol, 5:99-118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [93].Nassour J, Radford R, Correia A, Fuste JM, Schoell B, Jauch A, et al. (2019). Autophagic cell death restricts chromosomal instability during replicative crisis. Nature, 565:659-663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [94].Goglin SE, Farzaneh-Far R, Epel ES, Lin J, Blackburn EH, Whooley MA (2016). Change in Leukocyte Telomere Length Predicts Mortality in Patients with Stable Coronary Heart Disease from the Heart and Soul Study. PLoS One, 11:e0160748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [95].Duggan C, Risques R, Alfano C, Prunkard D, Imayama I, Holte S, et al. (2014). Change in peripheral blood leukocyte telomere length and mortality in breast cancer survivors. J Natl Cancer Inst, 106:dju035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [96].Weischer M, Bojesen SE, Nordestgaard BG (2014). Telomere shortening unrelated to smoking, body weight, physical activity, and alcohol intake: 4,576 general population individuals with repeat measurements 10 years apart. PLoS Genet, 10:e1004191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [97].Verhulst S, Aviv A, Benetos A, Berenson GS, Kark JD (2013). Do leukocyte telomere length dynamics depend on baseline telomere length? An analysis that corrects for 'regression to the mean'. Eur J Epidemiol, 28:859-866. [DOI] [PubMed] [Google Scholar]
  • [98].Katz DL, Meller S (2014). Can we say what diet is best for health? Annu Rev Public Health, 35:83-103. [DOI] [PubMed] [Google Scholar]
  • [99].Xie Q, Cai DL, Chen JC, Wang AY (2005). Survey of Dietary Nutrition in Families with Long-lived People in Bama of Guangxi Province. Chinese Journal of Clinical Nutrition, 14:276-280. [Google Scholar]
  • [100].Fu J, Zhang Y, Hu Y, Zhao G, Tang Y, Zou L (2020). Concise review: Coarse cereals exert multiple beneficial effects on human health. Food Chem, 325:126761. [DOI] [PubMed] [Google Scholar]
  • [101].Li XY, Liu YH, Wang B, Chen CY, Zhang HM, Kang JX (2018). Identification of a sustainable two-plant diet that effectively prevents age-related metabolic syndrome and extends lifespan in aged mice. J Nutr Biochem, 51:16-26. [DOI] [PubMed] [Google Scholar]
  • [102].Kang JX (2011). The omega-6/omega-3 fatty acid ratio in chronic diseases: animal models and molecular aspects. World Rev Nutr Diet, 102:22-29. [DOI] [PubMed] [Google Scholar]
  • [103].Lorente-Cebrian S, Costa AG, Navas-Carretero S, Zabala M, Martinez JA, Moreno-Aliaga MJ (2013). Role of omega-3 fatty acids in obesity, metabolic syndrome, and cardiovascular diseases: a review of the evidence. J Physiol Biochem, 69:633-651. [DOI] [PubMed] [Google Scholar]
  • [104].Xia DZ, Yu XF, Zhu ZY, Zou ZD (2011). Antioxidant and antibacterial activity of six edible wild plants (Sonchus spp.) in China. Nat Prod Res, 25:1893-1901. [DOI] [PubMed] [Google Scholar]
  • [105].Ou ZQ, Rades T, McDowell A (2015). Anti-ageing effects of Sonchus oleraceus L. (puha) leaf extracts on H(2)O(2)-induced cell senescence. Molecules, 20:4548-4564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [106].Vilela FC, Bitencourt AD, Cabral LD, Franqui LS, Soncini R, Giusti-Paiva A (2010). Anti-inflammatory and antipyretic effects of Sonchus oleraceus in rats. J Ethnopharmacol, 127:737-741. [DOI] [PubMed] [Google Scholar]
  • [107].McDowell A, Thompson S, Stark M, Ou ZQ, Gould KS (2011). Antioxidant activity of puha (Sonchus oleraceus L.) as assessed by the cellular antioxidant activity (CAA) assay. Phytother Res, 25:1876-1882. [DOI] [PubMed] [Google Scholar]
  • [108].Pan Y, Wang F, Sun DW, Li Q (2016). Intestinal Lactobacillus community structure and its correlation with diet of Southern Chinese elderly subjects. J Microbiol, 54:594-601. [DOI] [PubMed] [Google Scholar]
  • [109].Davis C, Bryan J, Hodgson J, Murphy K (2015). Definition of the Mediterranean Diet; a Literature Review. Nutrients, 7:9139-9153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [110].Estruch R, Ros E, Salas-Salvado J, Covas MI, Corella D, Aros F, et al. (2013). Primary prevention of cardiovascular disease with a Mediterranean diet. N Engl J Med, 368:1279-1290.23432189 [Google Scholar]
  • [111].Giacosa A, Barale R, Bavaresco L, Gatenby P, Gerbi V, Janssens J, et al. (2013). Cancer prevention in Europe: the Mediterranean diet as a protective choice. Eur J Cancer Prev, 22:90-95. [DOI] [PubMed] [Google Scholar]
  • [112].Hidalgo-Liberona N, Merono T, Zamora-Ros R, Rabassa M, Semba R, Tanaka T, et al. (2021). Adherence to the Mediterranean diet assessed by a novel dietary biomarker score and mortality in older adults: the InCHIANTI cohort study. BMC Med, 19:280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [113].Heitzman ME, Neto CC, Winiarz E, Vaisberg AJ, Hammond GB (2005). Ethnobotany, phytochemistry and pharmacology of Uncaria (Rubiaceae). Phytochemistry, 66:5-29. [DOI] [PubMed] [Google Scholar]
  • [114].Olivas-Aguirre FJ, Rodrigo-Garcia J, Martinez-Ruiz ND, Cardenas-Robles AI, Mendoza-Diaz SO, Alvarez-Parrilla E, et al. (2016). Cyanidin-3-O-glucoside: Physical-Chemistry, Foodomics and Health Effects. Molecules, 21:1264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [115].Chhipa AS, Borse SP, Baksi R, Lalotra S, Nivsarkar M (2019). Targeting receptors of advanced glycation end products (RAGE): Preventing diabetes induced cancer and diabetic complications. Pathol Res Pract, 215:152643. [DOI] [PubMed] [Google Scholar]
  • [116].Tang H, Zhao T, Sheng Y, Zheng T, Fu L, Zhang Y (2017). Dendrobium officinale Kimura et Migo: A Review on Its Ethnopharmacology, Phytochemistry, Pharmacology, and Industrialization. Evid Based Complement Alternat Med, 2017:7436259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [117].Xie Y, Mu C, Kazybay B, Sun Q, Kutzhanova A, Nazarbek G, et al. (2021). Network pharmacology and experimental investigation of Rhizoma polygonati extract targeted kinase with herbzyme activity for potent drug delivery. Drug Deliv, 28:2187-2197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [118].Cui Y, Wu L, Cao R, Xu H, Xia J, Wang ZP, et al. (2020). Antitumor functions and mechanisms of nitidine chloride in human cancers. J Cancer, 11:1250-1256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [119].Lu Q, Ma R, Yang Y, Mo Z, Pu X, Li C (2020). Zanthoxylum nitidum (Roxb.) DC: Traditional uses, phytochemistry, pharmacological activities and toxicology. J Ethnopharmacol, 260:112946. [DOI] [PubMed] [Google Scholar]
  • [120].Yue J, Zhang S, Zheng B, Raza F, Luo Z, Li X, et al. (2021). Efficacy and Mechanism of Active Fractions in Fruit of Amomum villosum Lour. for Gastric Cancer. J Cancer, 12:5991-5998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [121].Suo S, Lai Y, Li M, Song Q, Cai J, Zhao J, et al. (2018). Phytochemicals, pharmacology, clinical application, patents, and products of Amomi fructus. Food Chem Toxicol, 119:31-36. [DOI] [PubMed] [Google Scholar]
  • [122].Lin T, Luo W, Li Z, Zhang L, Zheng X, Mai L, et al. (2020). Rhamnocitrin extracted from Nervilia fordii inhibited vascular endothelial activation via miR-185/STIM-1/SOCE/NFATc3. Phytomedicine, 79:153350. [DOI] [PubMed] [Google Scholar]
  • [123].Yang R, Wang W-X, Chen H-J, He Z-C, Jia A-Q (2018). The inhibition of advanced glycation end-products by five fractions and three main flavonoids from Camellia nitidissima Chi flowers. Journal of Food and Drug Analysis, 26:252-259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [124].Zou W, Gong L, Zhou F, Long Y, Li Z, Xiao Z, et al. (2021). Anti-inflammatory effect of traditional Chinese medicine preparation Penyanling on pelvic inflammatory disease. J Ethnopharmacol, 266:113405. [DOI] [PubMed] [Google Scholar]
  • [125].Lin L, Ni B, Lin H, Zhang M, Li X, Yin X, et al. (2015). Traditional usages, botany, phytochemistry, pharmacology and toxicology of Polygonum multiflorum Thunb.: a review. J Ethnopharmacol, 159:158-183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [126].Maciag D, Dobrowolska E, Sharafan M, Ekiert H, Tomczyk M, Szopa A (2021). Akebia quinata and Akebia trifoliata - a review of phytochemical composition, ethnopharmacological approaches and biological studies. J Ethnopharmacol, 280:114486. [DOI] [PubMed] [Google Scholar]
  • [127].Shang X, Pan H, Li M, Miao X, Ding H (2011). Lonicera japonica Thunb.: ethnopharmacology, phytochemistry and pharmacology of an important traditional Chinese medicine. J Ethnopharmacol, 138:1-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [128].Li M, Shang X, Zhang R, Jia Z, Fan P, Ying Q, et al. (2010). Antinociceptive and anti-inflammatory activities of iridoid glycosides extract of Lamiophlomis rotata. Kudo. Fitoterapia, 81:167-172. [DOI] [PubMed] [Google Scholar]
  • [129].Cavalli G, Heard E (2019). Advances in epigenetics link genetics to the environment and disease. Nature, 571:489-499. [DOI] [PubMed] [Google Scholar]
  • [130].Cai J, Chen S, Yu G, Zou Y, Lu H, Wei Y, et al. (2021). Comparations of major and trace elements in soil, water and residents' hair between longevity and non-longevity areas in Bama, China. Int J Environ Health Res, 31:581-594. [DOI] [PubMed] [Google Scholar]
  • [131].Qin YR, Zhang ZY, Gan YF, Qin J, Lu HX, Su J, et al. (2016). The Influence of the Earth's Magnetic Field on the Longevous Population of Bama County in Guangxi. Progress in Modern Biomedicine, 16:860-863. [Google Scholar]
  • [132].Zhang C, Wu LL, Yang N, Lan CL, Deng SL (2014). Study on Temporal and Spatial Distribution of Sunshine Duration Based on GIS in Karst Mountain Area -Taking Guangxi Bama County for Example. Journal of Natural Resources, 29:1968-1977. [Google Scholar]
  • [133].Liu YL, Luo KL, Lin XX, Gao X, Ni RX, Wang SB, et al. (2014). Regional distribution of longevity population and chemical characteristics of natural water in Xinjiang, China. Sci Total Environ, 473-474:54-62. [DOI] [PubMed] [Google Scholar]
  • [134].Deng Q, Chen L, Wei Y, Li Y, Han X, Liang W, et al. (2018). Understanding the Association between Environmental Factors and Longevity in Hechi, China: A Drinking Water and Soil Quality Perspective. Int J Environ Res Public Health, 15:2272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [135].Liu Y, Li Y, Jiang Y, Li H, Wang W, Yang L (2013). Effects of soil trace elements on longevity population in China. Biol Trace Elem Res, 153:119-126. [DOI] [PubMed] [Google Scholar]
  • [136].Huang B, Zhao Y, Sun W, Yang R, Gong Z, Zou Z, et al. (2009). Relationships between distributions of longevous population and trace elements in the agricultural ecosystem of Rugao County, Jiangsu, China. Environ Geochem Health, 31:379-390. [DOI] [PubMed] [Google Scholar]
  • [137].Barbagallo M, Veronese N, Dominguez LJ (2021). Magnesium in Aging, Health and Diseases. Nutrients, 13:463. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [138].Wang P, Yu X, Guan PP, Guo JW, Wang Y, Zhang Y, et al. (2017). Magnesium ion influx reduces neuroinflammation in Abeta precursor protein/Presenilin 1 transgenic mice by suppressing the expression of interleukin-1beta. Cell Mol Immunol, 14:451-464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [139].Zhang Y, Qiu H (2018). Dietary Magnesium Intake and Hyperuricemia among US Adults. Nutrients, 10:296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [140].Villa-Bellosta R (2020). Dietary magnesium supplementation improves lifespan in a mouse model of progeria. EMBO Mol Med, 12:e12423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [141].Li L, Yang X (2018). The Essential Element Manganese, Oxidative Stress, and Metabolic Diseases: Links and Interactions. Oxid Med Cell Longev, 2018:7580707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [142].Shu H, Guo Z, Chen X, Qi S, Xiong X, Xia S, et al. (2021). Intracerebral Transplantation of Neural Stem Cells Restores Manganese-Induced Cognitive Deficits in Mice. Aging Dis, 12:371-385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [143].Koh ES, Kim SJ, Yoon HE, Chung JH, Chung S, Park CW, et al. (2014). Association of blood manganese level with diabetes and renal dysfunction: a cross-sectional study of the Korean general population. BMC Endocr Disord, 14:24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [144].Sengupta S, Balla VK (2018). A review on the use of magnetic fields and ultrasound for non-invasive cancer treatment. J Adv Res, 14:97-111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [145].Usselman RJ, Hill I, Singel DJ, Martino CF (2014). Spin biochemistry modulates reactive oxygen species (ROS) production by radio frequency magnetic fields. PLoS One, 9:e93065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [146].Markov M (2015). XXIst century magnetotherapy. Electromagn Biol Med, 34:190-196. [DOI] [PubMed] [Google Scholar]
  • [147].Lew WZ, Feng SW, Lee SY, Huang HM (2021). The Review of Bioeffects of Static Magnetic Fields on the Oral Tissue-Derived Cells and Its Application in Regenerative Medicine. Cells, 10:2662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [148].Jin Z, Chen S, Jin J, Chen K, Sun Y, Zhao M (2021). Study of the Relationship between the Structural Parameters of Magnetic Polypropylene-Knitted Fabric and Human Skin Microcirculation. Materials (Basel), 14:4368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [149].Xu J, Liu K, Chen T, Zhan T, Ouyang Z, Wang Y, et al. (2019). Rotating magnetic field delays human umbilical vein endothelial cell aging and prolongs the lifespan of Caenorhabditis elegans. Aging (Albany NY), 11:10385-10408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [150].Jarusevicius G, Rugelis T, McCraty R, Landauskas M, Berskiene K, Vainoras A (2018). Correlation between Changes in Local Earth's Magnetic Field and Cases of Acute Myocardial Infarction. Int J Environ Res Public Health, 15:399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [151].Tariq K, Noor M, Saeed S, Zhang H (2015). The Effect of Ultraviolet-A Radiation Exposure on the Reproductive Ability, Longevity, and Development of the Dialeurodes citri (Homoptera: Aleyrodidae) F1 Generation. Environ Entomol, 44:1614-1618. [DOI] [PubMed] [Google Scholar]
  • [152].Saladi RN, Persaud AN (2005). The causes of skin cancer: a comprehensive review. Drugs Today (Barc), 41:37-53. [DOI] [PubMed] [Google Scholar]
  • [153].Shui S, Wang X, Chiang JY, Zheng L (2015). Far-infrared therapy for cardiovascular, autoimmune, and other chronic health problems: A systematic review. Exp Biol Med (Maywood), 240:1257-1265. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • [154].Giuliani C, Garagnani P, Franceschi C (2019). Response by Giuliani et al to Letter Regarding Article, "Genetics of Human Longevity Within an Eco-Evolutionary Nature-Nurture Framework". Circ Res, 124:e2-e3. [DOI] [PubMed] [Google Scholar]
  • [155].Huang XF, Zhou Q, H., Wang JH, Lin CW, Huang CS, Wei RY (2013). Progress in the study of physical anthropology of minorities and molecular genetics of osteoporosis. Journal of Youjiang Medical University for Nationalities, 35:75-77. [Google Scholar]
  • [156].Marioni RE, Ritchie SJ, Joshi PK, Hagenaars SP, Okbay A, Fischer K, et al. (2016). Genetic variants linked to education predict longevity. Proc Natl Acad Sci U S A, 113:13366-13371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [157].Qin HY (2011). The cultural interpretation of Bama longevity phenomenon. Inheritance & Innovation, 9:62-64. [Google Scholar]
  • [158].Giuliani C, Garagnani P, Franceschi C (2018). Genetics of Human Longevity Within an Eco-Evolutionary Nature-Nurture Framework. Circ Res, 123:745-772. [DOI] [PubMed] [Google Scholar]
  • [159].Pes GM, Dore MP, Tsofliou F, Poulain M (2022). Diet and longevity in the Blue Zones: A set-and-forget issue? Maturitas, 164:31-37. [DOI] [PubMed] [Google Scholar]
  • [160].Legrand R, Nuemi G, Poulain M, Manckoundia P (2021). Description of Lifestyle, Including Social Life, Diet and Physical Activity, of People >/=90 years Living in Ikaria, a Longevity Blue Zone. Int J Environ Res Public Health, 18:6602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [161].Nieddu A, Vindas L, Errigo A, Vindas J, Pes GM, Dore MP (2020). Dietary Habits, Anthropometric Features and Daily Performance in Two Independent Long-Lived Populations from Nicoya peninsula (Costa Rica) and Ogliastra (Sardinia). Nutrients, 12:1621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [162].Yan B, Yang J, Zhao B, Wu Y, Bai L, Ma X (2021). Causal Effect of Visceral Adipose Tissue Accumulation on the Human Longevity: A Mendelian Randomization Study. Front Endocrinol (Lausanne), 12:722187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [163].Silva-Sena GG, Camporez D, Santos LRD, Silva ASD, Sagrillo Pimassoni LH, Tieppo A, et al. (2018). An association study of FOXO3 variant and longevity. Genet Mol Biol, 41:386-396. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [164].Kalichman L, Batsevich V, Kobyliansky E (2020). Finger length ratio in longevity populations. Am J Hum Biol, 32:e23325. [DOI] [PubMed] [Google Scholar]
  • [165].Ejima K, Li P, Smith DL Jr, Nagy TR, Kadish I, van Groen T, et al. (2016). Observational research rigour alone does not justify causal inference. Eur J Clin Invest, 46:985-993. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [166].Dato S, Rose G, Crocco P, Monti D, Garagnani P, Franceschi C, et al. (2017). The genetics of human longevity: an intricacy of genes, environment, culture and microbiome. Mech Ageing Dev, 165:147-155. [DOI] [PubMed] [Google Scholar]
  • [167].Zhou F, Ren J, Lu X, Ma S, Wu C (2021). Gene-Environment Interaction: A Variable Selection Perspective. Methods Mol Biol, 2212:191-223. [DOI] [PubMed] [Google Scholar]
  • [168].Ashley EA (2016). Towards precision medicine. Nat Rev Genet, 17:507-522. [DOI] [PubMed] [Google Scholar]
  • [169].Zang Y, Wan J, Zhang Z, Huang S, Liu X, Zhang W (2020). An updated role of astragaloside IV in heart failure. Biomed Pharmacother, 126:110012. [DOI] [PubMed] [Google Scholar]

Articles from Aging and Disease are provided here courtesy of JKL International LLC

RESOURCES