Original ArticlesFree Access

The Phenotypic Characterization of the Cammalleri Sisters, an Example of Exceptional Longevity

    Published Online:https://doi.org/10.1089/rej.2019.2299

    Abstract

    This article shows demographic, clinical, anamnestic, cognitive, and functional data as well as biochemical, genetic, and epigenetic parameters of two exceptional siblings: Diega (supercentenarian) and Filippa (semisupercentenarian) Cammalleri. The purpose of this study is to provide new insights into the extreme phenotypes represented by semisupercentenarians and supercentenarians. Different studies have been published on supercentenarians, but to the best of our knowledge, this is the only concerning two sisters and the most detailed from a phenotypic point of view. Our findings agree with the suggestion that supercentenarians have an increasing relative resistance to age-related diseases, approximating the limits of the functional human reserve to address successfully the acute causes of death. More interestingly, our data agree with, and extend, the suggestion that inflammation and oxidative stress predict centenarian mortality.

    Introduction

    Population aging is a global issue that is becoming severe and is posing new challenges for public health.1 In this context, it is essential to study models of healthy aging and extreme longevity. Among long living individuals (LLIs, ≥90 years), centenarians (≥100 years), semisupercentenarians (≥105 years), and supercentenarians (≥110 years) are object of intense investigation.

    Centenarians are considered the most successful aged individuals. They were able to escape diseases or survive to age-related diseases such as cancer, diabetes, cardiovascular diseases, and stroke.2 Approximately, 1 in 1000 centenarians achieves the age of 110.3 These individuals can provide useful data to better understand phenotypic aspects of longevity and to identify factors associated with long-term good health. It is a crucial information in an aging society, in which the improvement of the quality of life of the oldest people is becoming a priority because of the continuous increase in number of this population at risk of frailty.1 Moreover, exceptional longevity is a rare event that may involve mechanisms other than those implicated in common human aging. It is typically characterized by strong genetic familiarity associated with lifestyle factors.4,5

    This article shows demographic, clinical, anamnestic, cognitive, and functional data as well as biochemical, genetic, and epigenetic parameters of two exceptional siblings: Diega (supercentenarian) and Filippa (semisupercentenarian) Cammalleri. The purpose of this study is to provide new insights into the extreme phenotype represented by semisupercentenarians and supercentenarians.

    Participants and Methods

    Participants

    The recruitment of the two sisters was conducted within the project “Discovery of molecular and genetic/epigenetic signatures underlying resistance to age-related diseases and comorbidities (DESIGN),” funded by the Italian Ministry of Education, University and Research. The Ethic Committee of Palermo University Hospital (Sicily, Italy) approved the study protocol. The study was conducted in accordance with the Declaration of Helsinki and its amendments.

    On July 27, 2017, well-trained nutritionists and physicians from University of Palermo administered to the sisters a detailed questionnaire to collect demographic, clinical, and anamnestic data of interest as well as cognitive and functional tests. The questionnaire includes nine sections: main pathologies, drugs, smoking, cognitive status (mini-mental state examination [MMSE]), geriatric depression scale (GDS), activities of daily living (ADL), instrumental activity of daily living (IADL), sleep, and eating habits. We also investigate the family history. Before the enrolment, their nephew, and legal guardian, signed the consent form to release the photos and the sensitive family data. The sisters underwent venipuncture, after a fasting period of 12 hours, in the morning (10 AM). The blood was collected in specific tubes containing ethylenediaminetetraacetic acid (EDTA) or without additives.

    Anthropometric measurements

    To obtain informative and reproducible body composition analysis, weight and height were measured, and bioelectrical impedance analysis (BIA) was performed in the supine position, with light clothes and barefoot. For the tetrapolar measurement, four skin electrodes were applied, one pair on the back of the hand and the other pair on the back of the ipsilateral foot. On the hand, they were placed one on the metacarpophalangeal joint of the third finger (injector electrode) and the other on the radioulnar joint (sensor electrode). On the foot, they were placed one on the metatarsophalangeal joint of the third toe (injector electrode) and the other on the tibiotarsal joint (sensor electrode).

    BIA device used was a portable Akern BIA 101, more suitable for at home visit, applying an alternating electrical current of 50 kHz (800 μA), not dangerous for tissues. The resistance and the reactance (in Ohm) and the phase angle were reported, and the body compartments measurements (in percentage by weight and in kg/m) were estimated, using regression equations by BodygramPlus 1.1.4.4 software.

    Hematochemical, biochemical, and oxidative stress tests

    Hematochemical tests were performed at the department of laboratory medicine, Palermo University Hospital “P. Giaccone,” according to standard procedures. The evaluation of inflammatory and oxidative parameters was conducted at the department of biomedical sciences, University of Sassari, Italy, as previously described.6–9

    Molecular tests

    Genomic DNA was extracted from leukocytes through a commercial kit. The single nucleotide polymorphism (SNP) rs2802292 G-allele (G>T) of Forkhead box O3A (FOXO3A) gene was genotyped using an amplification-refractory mutation system-polymerase chain reaction (ARMS-PCR), adopting registered and validated primers (certified at World International Property Organization, on 18/02/2010, n.WO 2010/019519 A2). Three genotypes were analyzed: GG, GT, and TT. The size separation was conducted using agarose gel electrophoresis (2%).

    The EzWayTM Direct ApoE Genotyping Kit (Komabiotech Inc) was used to analyze Apolipoprotein (Apo)E polymorphisms through a standard PCR. The genotype was defined by the combination of three alleles ɛ2, ɛ3, and ɛ4. The primer mixture of ApoE genes was enabled to perform one-step multiplex PCR. Six genotypes were analyzed: ɛ2/ɛ2, ɛ2/ɛ3, ɛ3/ɛ3, ɛ3/ɛ4, ɛ4/ɛ4, and ɛ2/ɛ4. The size separation was conducted using agarose gel electrophoresis (2.5%).

    Relative telomere length (RTL) was determined in the Dana Farber/Harvard Cancer Center Genotyping & Genetics for Population Sciences Facility (Boston, MA), using a modified high-throughput version of the real-time quantitative (Rtq) PCR-based telomere assay that was run on the Applied Biosystems 7900HT Sequence Detection System (Foster City, CA).10 Fifteen nanograms of genomic DNA were required for the protocol. The average RTL was determined as the copy-number ratio between telomere repeats and a single-copy (36B4) reference gene (T/S ratio, −ΔCt). Leukocyte RTL is reported as the exponentiated T/S ratio corrected for a reference sample. Although this assay measures RTL, the T/S ratio highly correlates with absolute TL provided by Southern Blot (r = 0.68–0.85; p < 0.001).11

    The analysis of three circulating microRNAs (mir-146a-5p, mir-126-3p, and mir-21-5p) of the two sisters and 30 controls was conducted in the laboratories of National Research Council of Palermo (Sicily, Italy). The 30 control subjects, subdivided into young (24–39 years, n = 10), adult (50–64 years, n = 10), and old (66–84 years, n = 10), were randomly selected from young, adult, and old people recruited within the DESIGN project. They were checked and judged to be in good health, based on their clinical history and blood tests (complete blood cell count, erythrocyte sedimentation rate, glucose, urea nitrogen, creatinine, electrolytes, C-reactive protein [CRP], liver function test, iron, total proteins, cholesterol, and triglycerides). Circulating microRNAs were isolated using the miRNeasy Serum/Plasma kit (Qiagen) according to the manufacturer's protocol. For each sample, the spike-in control, cel-miR-39, was used for normalization and extraction efficiency control.

    The analysis was conducted using a TaqMan RT-qPCR microRNA assay. In brief, the isolated microRNAs were retrotranscribed using the miScript Single Cell qPCR kit (Qiagen) according to the manufacturer's protocol. The expression levels of microRNAs were evaluated with a SYBR green-based RT-qPCR using the Step one plus (Applied Biosystem). For the amplification, the miScript SYBR green PCR kit (Qiagen) was used according to the manufacturer's protocol.12

    Results

    Anamnestic and clinical data

    Diega and Filippa Cammalleri (Fig. 1) were born and died in Canicattì (Agrigento, Sicily, Italy). Diega was born on October 23, 1905, and died on June 15, 2019. For the validation of her age, see Young and Kroczek.13 Filippa was born on December 12, 1911, and died on July 6, 2018 (Supplementary Figs. S1 and S2 depict her Italian identity card and death certificate). Their parents, Calogero Cammalleri and Maria Di Pasquale, died, respectively, at the age of 97 years (unknown cause) and at the age of 73 years (colon cancer). Their parents had three other sons, two twins, both died of colon cancer, and a third son died for a traumatic accident (Fig. 2 depicts the Cammalleri's family tree with birth and death dates). Diega earned a high school diploma as teacher for primary school, whereas Filippa received only the primary school diploma (5 years). Diega was a schoolteacher and Filippa was a housewife. Both were unmarried, and they lived in a flat with a live-in caretaker. The sisters had a quite high income.

    FIG. 1.

    FIG. 1. The picture depicts the two sisters with Prof. Calogero Caruso, Filippa on the left and Diega on the right. Photo used with permission.

    FIG. 2.

    FIG. 2. The figure depicts the Cammalleri's family tree. The birth and death dates are, respectively, (1) June 19, 1875 to March 18, 1972 (Calogero Cammalleri, father); (2) June 24, 1886 to March 1, 1960 (Maria Di Pasquale, mother); (3) October 23, 1905 to June 15, 2019 (Diega Cammalleri); (4) December 12, 1911 to July 6, 2018 (Filippa Cammalleri); (5) May 5, 1918 to January 31, 2000 (Giuseppe Cammalleri, one of the twin brothers); (6) May 5, 1918 to May 4, 2002 (Antonio Cammalleri, the other twin brother); (7) May 15, 1914 to February 2, 2001 (Luigi Cammalleri, the third brother).

    They never smoked, slept 5–6 hours per night, and were treated with antihypertensive drugs, diuretics, and antiplatelet agents. Diega was affected by macular degeneration and Filippa by cataract. Both suffered from arthrosis and osteoporosis. Over the last years, Filippa was admitted twice to the hospital. The first time, at the age of 100 years, for femur fracture, and then, at the age of 105 years, for fecal impaction. It was not possible to administer the GDS to both sisters, whereas the MMSE was administered to Filippa, receiving a score of 23 out of 30 (mild dementia). The assessment of ADL (e.g., personal hygiene, dressing, toileting/continence, ambulating, and eating) showed that the sisters needed help for <10 years in terms of basic physical needs. The IADL (e.g., food preparation, financial administration, housekeeping, use of telephone, and responsibility for own medication) showed that the sisters were not able to perform this complex behavior of domestic functioning in the last 10 years.

    About their eating habits, Cammalleri sisters did not show close adherence to the Mediterranean diet except for the assumption of cereals, such as pasta, extra virgin olive oil, milk, and fruits that they consumed twice a day, and legumes that they consumed twice a week. On the contrary, it was detected low consumption of vegetables (two/three times a week), high assumption of sweets (such as biscuits, small pastries, and sugar) twice a day, and eggs and potatoes once a day. About meat consumption, it was noticed very low intake of red and cured meat (one or two times in a month), frequent assumption of white meat (such as chicken) once a day, and moderate consumption of bluefish, once a week.

    Anthropometric measurements

    Table 1 shows anthropometric and bioimpedance values. For Diega, body mass index (BMI), fat mass (FM), both in percentage on weight and in effective measure, and free fat mass (FFM) in percentage and total body water, both in percentage on weight and in effective measure, were inside the range. For Filippa, BMI, FM in effective measure, and total body water in effective measure were inside the range. The rest of the values, including PhA, were out of range.

    Table 1. Anthropometric and Body Composition Values

    ParametersD.C.F.C.Reference range values
    Age (years.days)111.277105.227
    Height (cm)155153
    Weight (kg)5350
    BMI (kg/m2)22.121.418–24.9
    FM (%)36.930.431.2–42.5
    FM (kg/m)12.69.97–14
    FFM (%)63.169.657.5–68.8
    FFM (kg/m)21.622.823–28
    TBW (%)54.259.646–57
    TBW (L/m)18.519.515–22
    ECW (%)72.569.342–53
    BCM (%)25.128.638–70
    BCM (kg/m)5.46.510–17
    BMR (Kcal)993.41039.1
    Rz (Ω)620551
    Xc (Ω)2525
    PhA (°)2.32.63.4–5.8

    Values out of range are in bold, italic and underlined.

    BCM, body cell mass; BMI, body mass index; BMR, basal metabolic rate; D.C., Diega Cammalleri; ECW, extracellular water; F.C., Filippa Cammalleri; FFM, free fat mass; FM, fat mass; PhA, phase angle; Rz, resistance; TBW, total body water; Xc, reactance.

    Hematochemical and biochemical tests

    Table 2 shows the hematochemical values. It is possible to observe a slight anemia in Filippa, whose total and low-density lipoprotein (LDL) cholesterol levels were higher than the reference values. Both sisters showed values of thyroid-stimulating hormone (TSH) and osteocalcin higher than the reference values, whereas albumin and protein as well as high-density lipoprotein (HDL) cholesterol levels were lower than the reference values.

    Table 2. Hematochemical Values

    Variable (U)D.C.F.C.Reference range value
    Endocrine system
     TSH (μIU/mL)5.015.130.27–4.20
     FT3 (pg/mL)2.562.232.00–4.40
     FT4 (ng/dL)1.001.120.93–1.70
     Insulin (μU/mL)5.294.392.60–24.90
     Osteocalcin (ng/mL)82.358.314.00–46.00
    Electrolytes
     Potassium (mmol/L)4.515.053.50–5.10
     Calcium (mg/dL)8.588.158.40–10.20
     Magnesium (mg/dL)2.092.401.60–2.60
    Liver markers
     ALT (U/L)78<41
     AST (U/L)1217<40
     ALP (U/L)817140–129
     GGT (U/L)888–61
     Bilirubin (mg/dL)0.350.52<1.20
     Conjugated bilirubin (mg/dL)0.160.16<0.30
     Albumin (g/L)34.734.138–48
     Proteins (g/L)49.773.466–87
    Iron markers
     Iron (μg/dL)426337–145
     Ferritin (ng/mL)283115–400
     Transferrin (mg/dL)213250200–360
    Lipid values
     Cholesterol (mg/dL)171248<200
     LDL (mg/dL)11517870–129
     HDL (mg/dL)3850>50
     Triglycerides (mg/dL)92102<200
    Other values
     Creatinine (mg/dL)0.71.20.5–1.2
     Urea (mg/dL)49.773.416.8–48.5
     Glycemia (mg/dL)897470–100
     Uric acid (mg/dL)4.16.92.4–7.0
     CRP (mg/dL)1.141.59<5
    Hematological values
     Red blood cells (106μL)5.094.093.80–5.00
     Hemoglobin (g/dL)14.3011.9012–16
     Platelets (103μL)250215150–450
     Leukocytes (103μL)6.145.954.00–11.00
     Neutrophils (103 μL)4.333.222.00–8.00
     Lymphocytes (103 μL)1.131.801.00–5.00
     Monocytes (103 μL)0.520.680.16–1.00
     Eosinophils (103 μL)0.120.220.00–8.00
     Basophils (103 μL)0.040.030.00–1.50

    Values out of range are in bold, italic, and underlined.

    ALP, alkaline phosphatase; ALT, alanine transaminase; AST, aspartate transaminase; CRP, C-reactive protein; GGT, gamma-glutamyl transferase; HDL, high-density lipoprotein; LDL, low-density lipoprotein; T3, triiodothyronine; T4, thyroxine; TSH, thyroid-stimulating hormone.

    Table 3 depicts the oxidative and inflammatory parameters. The obtained results pointed out in both sisters lower values than the reference ones (obtained from subjects between 50 and 65 years old) for paraoxonase (PON), arginine, taurine (TAU), tryptophan (TRP), and blood reduced glutathione (GSH), and higher than reference value for malondialdehyde (MDA), asymmetric dimethylarginine (ADMA), kynurenine (KYN), KYN/TRP ratio, homocysteine (HCY), and cysteine (CYS).

    Table 3. Oxidative and Inflammatory Tests

    Variable (U)D.C.F.C.Reference range values
    PON (U/L)4352147–340
    MDA (μmol/L)3.195.782.46–3.23
    Arginine (μmol/L)23.955.068.3–90.4
    ADMA (μmol/L)0.7620.7250.454–0.544
    ADMA/Arg ratio0.03200.01320.0056–0.0077
    KYN (μmol/L)1.2562.1930.54–0.96
    TRP (μmol/L)27.934.456.0–71.2
    KYN/TRP ratio0.04500.06380.0080–0.0140
    HCY (μmol/L)33.936.53.1–30.3
    CYS (μmol/L)333533170–294
    TAU (μmol/L)21.626.749–76.8
    GSH (μmol/L)544767621–1085

    Values out of range are in bold, italic, and underlined.

    For explanation see text.

    ADMA, asymmetric dimethylarginine; CYS, cysteine; GSH, blood reduced glutathione; HCY, homocysteine; KYN, kynurenine; MDA, malondialdehyde; PON, paraoxonase; TAU, taurine; TRP, tryptophan.

    Molecular findings

    Table 4 reports FOXO3A, APOE, and RTL data. Concerning FOXO3A gene, only Filippa carried one copy of the allele associated with longevity (the G SNP).14 Regarding ApoE, both Diega and Filippa carried ɛ3/ɛ3. The RTL of these two sisters fitted in the range of 60–69 Sicilian women (unpublished observations).

    Table 4. Genetic Tests

    TestD.C.F.C.
    FOXO3AT/TG/T
    ApoEɛ3/ɛ3ɛ3/ɛ3
    RTL0.830.79

    For explanation see text.

    RTL, relative telomere length.

    The profile of three circulating microRNAs, mir-146a-5p, mir-126-3p, and mir-21-5p, known to be involved in inflammation, senescence, and carcinogenesis,15 has been also characterized. The levels of these microRNAs in the sisters were comparable with those measured in young (24–39 years) and middle-aged individuals (50–64 years), rather than those found in old subjects (66–84 years) (Fig. 3a–c). However, a caution note needs to be added for the small number of comparisons.

    FIG. 3.

    FIG. 3. (a–c) Comparison of expression variance of mir146a-5p (a), mir-126a-3p (b), and mir-21-5p (c) in plasma samples of the sisters (semisupercentenarian, ssc; supercentenarian, sc), (♦) and 10 young (•), 10 adults (▪), 10 old (▴) healthy individuals. All values were normalized with respect to the lowest samples and plotted on the Y-axis as folds change (fc). FC showed higher values than DC in (a) and (b), whereas Diega showed a higher value than Filippa in (c). Data from RTq-PCR assays. DC, Diega Cammalleri; FC, Filippa Cammalleri; RTq-PCR, real-time quantitative polymerase chain reaction.

    Discussion

    The Cammalleri sisters case is intriguing because three members of this family were long living (the two sisters and the father), whereas other three died of colon cancer (two brothers and the mother). It might be relevant to the suggestion of Sebastiani et al.,16 based on the whole genomic sequences of two supercentenarians, that several genes may have pleiotropic effects, and the same gene(s) that can increase risk for disease might also increase the ability to live long, depending on the genetic background. Another hypothesis might be that the two sisters have inherited from father alleles that protected them from age-related diseases.17

    About the diet of the two sisters, it was rich in bioactive Mediterranean foods as fruits and legumes but no close adherent to traditional Mediterranean diet. Since the 1960s, the consumption of meat, fish, fats, and sugars had significantly increased in the Italian Southern regions, whereas the consumption of bread, pasta, cereals, vegetables, and olive oil had decreased. It is likely that during this nutritional transition there was a great change in the diet of the two sisters, as in the rest of the Italians. Accordingly, the preliminary analysis of our survey in Sicilian LLIs confirms their adherence to Mediterranean diet, during young age, for scarcity of food rather than for choice.18 Necessarily, the nutritional options were strictly seasonal, and the amount of food was enough but never in excess. There were no variety of dishes but rather a monotonous diet, often based on legumes as main choice.14,19 This dietary habit might influence the ability of an individual to reach extreme longevity by epigenetic modifications.20

    The analysis of body composition demonstrated hyperhydration in extracellular compartment (Diega Cammalleri [DC] + 25%, Filippa Cammalleri [FC] + 21.8%) and lower PhA (PhA mean = 4.6°, DC −2.3°, FC −2°). Using the PhA we should classify the two sisters as cachectic. These data are not surprising because are in line to that we saw in Sicilian LLIs (mean age 101.3 ± 4.9, range 2–4.5°).14 The higher is the PhA value, the better is the healthy condition. PhA decreases when the body cell mass lowers. Moreover, it depends on the extracellular water with an inverse proportionality. Lower PhA appears to be consistent with either cell death or a breakdown in the selective permeability of the cell membrane, in accordance with hyper extracellular hydration (edema). About FFM, the expectation is a decline of this value with age and increase in body fat, due to disability and overall physical inactivity. In this case, it is possible to observe contrasting results between the two sisters. For Diega it was observed a percentage of FFM on weight perfectly in the range (63.1%) even if no physical activity nor ADL or IADL was performed.

    BIA specifically evaluates hydration in any condition (clinical or not) and it is a suitable method for nutritional assessment. However, it presents limitations due to substantial prediction errors associated with the use of calculation for the evaluation of body compartments.21 Current models have been developed starting from analyses in healthy subjects. Indeed, it is important to highlight that the measurement of body composition with BIA permits to directly measure reactance and resistance only. All the rest of measurements are estimated, rather than directly measured, using formulas that are probably not suitable for centenarian population that likely suffers massive fluids and electrolysis changes.22

    In relation to BMI, usually centenarians are underweight but, in this case, both have normal weight. Moreover, their estimated FM (kg/m) is within the range. These data are interesting considering that underweight and overweight conditions, as well as reduction or increase of FM (compared with normal range), are unfavorable for longevity. It is likely that, in certain people, such as old individuals, fat accumulation protects from death. This is the so-called obesity paradox that implies an inverse correlation between BMI and mortality, as demonstrated by several studies, although it could be related to a low specificity of BMI for certain people.23–27

    BIA analysis would be a piece of the puzzle to better detail the two extreme longevous sisters. It is important to note that the use of reference range values could be unsuitable for centenarians. In fact, they usually have a body composition different from young, adult, and old people, due to the unavoidable reduction of muscle mass.

    In 2008, a study was published in which, in a sample of 381 old subjects (between 65 and 85 years) and 120 healthy centenarians of Sicilian and Italian ancestry, laboratory parameters were evaluated. Compared with old people, significant differences were observed in blood urea nitrogen levels increased in centenarians, whereas blood glucose, cholesterol, and platelet levels were reduced in centenarians.28 In the ongoing DESIGN research on Sicilian LLIs preliminary results suggest no differences concerning lipid profile, glucose, and insulin levels when compared with young (mean age 30.7 ± 4.8) individuals, whereas creatinine was increased (unpublished observations). However, Filippa displayed quite high levels of cholesterol and LDL. At this regard, it is noteworthy that Filippa, but not Diega, showed very high levels of serum matrix metalloproteinases (MMP)-9 activity (unpublished observations) that correlates with cholesterol and LDL values, since it is known that MMP-9 affects cholesterol metabolism.29

    Regarding the increase of TSH observed in both sisters, familial longevity maybe associated with increased basal TSH secretion.30 In contrast, the two sisters should have subclinical hypothyroidism (high TSH, normal thyroid hormones) that could explain dyslipidemia (together with eggs consumed once a day), as well as low albumin levels and overhydration at BIA. In fact, as extensively discussed, clinical or latent hypothyroidism is rising both in general and in old population. Accordingly, it has been suggested that the reduction of thyroid signaling during older age might be beneficial for optimal aging, perhaps by lowering metabolism.31 Regarding osteocalcin, the increase is not surprising because osteocalcin, an osteoblast-specific secreted protein expressed by mature osteoblasts, is used in clinical practice and in research as a marker of bone turnover.32 Although the blood urea nitrogen levels were out of range, the creatinine levels were low likely due to their sarcopenia. It is noteworthy that CRP values were in the reference range, although other inflammatory markers were increased. Most of these values fall within the range of the values of the few hematochemical data studied in the only two reports published on hematochemical data of supercentenarians.33,34

    Aging is associated with a rise in pro-oxidant factors and to a decline in antioxidant mechanisms. Oxidative stress plays an important role in determining and maintaining the low-grade inflammation, which in turn contributes to oxidative stress.2,35,36 However, in several centenarian groups, from different geographical areas, some indices of oxidative stress were lower than in aged subjects. In contrast, centenarians show an increase in many inflammatory molecules, and it has been suggested that the proinflammatory status should be an adaptive mechanism that occurs throughout life and might coexist with longevity especially if counterbalanced by an anti-inflammatory component.2,36,37

    The sisters show a suffering status in the oxidative stress profile. They showed low levels of antioxidant PON and GSH (no for Filippa) as well as of sulfur amino acids CYS, HCY, and TAU. On the contrary, they showed high levels of MDA, the main product of the polyunsaturated fatty acids peroxidation, and ADMA.6–9 Since oxidative stress increases the activity of arginine methylating enzymes involved in ADMA synthesis and reduces ADMA degrading enzymes, increased ADMA concentrations and increased ADMA/arginine ratio are the mirror of increased oxidative stress.38 They simultaneously showed a worsened inflammatory condition as demonstrated by high levels of KYN, a marker of immune system activation, and KYN/TRP ratio, a sensitive biomarker of systemic inflammation.6–9 However, both sisters showed levels of mir-21-5p, considered a biomarker of aging inflammatory status, similar to that of young people.15

    Recent studies have, in fact, revealed that human aging can be characterized by a profile of circulating microRNAs that is predictive of chronological age and that can be used as a biomarker of risk for age-related outcomes. In particular, three microRNAs, mir-146-5p, mir-126-3p, and mir-21-5p, involved in pathways related to inflammation, senescence, and carcinogenesis, seem to be characteristic of the longevity phenotype.15,39 The three microRNA plasmatic levels observed in sisters suggest that the two subjects were experiencing healthy aging conditions relatively to age-related diseases. Accordingly, it has been demonstrated that the offspring of semisupercentenarians have a lower epigenetic age than age-matched controls.40 However, it is intriguing that mir-146-5p and mir-126-3p are involved in endothelial dysfunctions and that supercentenarians have been claimed to markedly delay and even escape clinical expression of vascular disease toward the end of their exceptionally long lives.15,41

    Oxidative stress and inflammation are also important telomere modulators and these processes accelerate the telomere attrition. Therefore, short telomeres represent a marker of the cumulative load of inflammation and oxidative stress. In fact, a larger study has demonstrated that short telomeres are associated with a higher risk of all-cause mortality. Conversely, individuals who lead a healthy lifestyle have been shown to have longer telomeres than those who do not adhere to this lifestyle.42,43 The RTL of the sisters fitted in the range of 60–69 Sicilian women RTL. In fact, in our sample of Sicilians, LLI women have RTL not significant different from those observed in women in the 60–69 years old range (unpublished observations).

    FOXO3A, a member of the Forkhead family of transcription factors, is an evolutionary conserved transcription factor that plays important regulatory roles in insulin/insulin-like growth factor signaling. The FOXO3A rs2802292 was associated with longevity in different populations, likely due to an increased expression of FOXO3A, involved in homeostatic responses.44,45 Only one of the two sisters carried the G allele associated with longevity. However, this is not surprising because in our analysis of FOXO3A SNP in Sicilian LLIs, we did not observe an association with longevity.14

    ApoE has multiple effects on aging and longevity. The ɛ4 allele is a risk factor for the onset of Alzheimer's disease and has a deleterious effect on longevity. ɛ2 is the allele that promotes longevity and healthy aging, whereas the ɛ3 allele is a neutral allele.14,46 Both sisters were homozygotes for ApoE ɛ3; therefore, they carried neither the protective allele ɛ2 nor the detrimental ɛ4. It is noteworthy that in our small sample of Sicilian LLIs, we did not observe an association of ɛ2 allele with longevity, but we did not find ɛ4 alleles in our LLI population.14 These results are consistent with a recent analysis on a large group of 1309 subjects enriched of Southern Italian genetic ancestry with weaker protective effect of ɛ2 and no detrimental effect of ɛ4. The author hypothesis is that the Mediterranean diet that was followed in Italy by generation under study contributes to the weaker role of ɛ2 and ɛ4 alleles.46

    Supercentenarians generally delay or escape age-related diseases and disability well beyond the age of 100 and this exceptional survival has been claimed to be influenced by a genetic predisposition that includes both common and rare genetic variants.16 However, Gierman et al. have sequenced the genomes of 13 supercentenarian Caucasian women. From this relatively small sample size, they found no significant evidence of enrichment for a single rare protein-altering variant or for a gene, harboring different rare protein altering variants with extreme longevity.47

    Conclusion

    Compared with centenarians, supercentenarians are extremely rare. Unlike so-called blue zones, where centenarians are said to cluster, seemingly there is no geographical shortcut for netting supercentenarians. However, geographic area where supercentenarians are more numerous have been reported (i.e., Japan that is considered the country with the highest number of supercentenarians48). In 2020, the number of living validated supercentenarians by the “Gerontology Research Group” is 27 worldwide.13 In Sicily, according to the Italian supercentenarians database, the number of living is estimated to be one (https://www.supercentenariditalia.it/persone-viventi-piu-longeve-in-italia). Nevertheless, it is difficult to estimate the exact number of supercentenarians in the world, because some individuals lack a birth certificate, or it might be difficult to obtain a reliable birth certificate.

    The analysis of these individuals who have survived to extremely old ages should provide insight into the processes that contribute to the maintenance of health during aging, which has assumed a central position in terms of refining preventive intervention for health promotion at advanced ages.

    Different studies have been published on this topic, but to the best of our knowledge this is the only concerning two sisters and the most detailed from a phenotypic point of view.3,16,33,34,41,47,49–54

    Our findings agree with the suggestion that supercentenarians and semisupercentenarians have increasing relative resistance to age-related diseases, approximating the limits of the functional human reserve to successfully address the acute causes of death.49 More interestingly, our data agree with and extend the suggestion that inflammation and oxidative stress predict centenarian mortality.51

    Acknowledgment

    The authors thank Aldo Cammalleri, nephew and legal guardian of the sisters, for allowing us to study them and for signing the consent form to release the photos and the sensitive family data.

    Author Disclosure Statement

    No competing financial interests exist.

    Funding Information

    The original study was supported by 20157ATSLF project (Discovery of molecular, and genetic/epigenetic signatures underlying resistance to age-related diseases and comorbidities), granted by the Italian Ministry of Education, University, and Research to C.C. and G.C. The Institutional Ethics Committee (“Paolo Giaccone,” University Hospital) approved the study protocol (Nutrition and Longevity, No. 032017).

    Supplementary Material

    Supplementary Figure S1

    Supplementary Figure S2

    References

    • 1. Christensen K, Doblhammer G, Rau R, Vaupel JW. Ageing populations: The challenges ahead. Lancet 2009;374:1196–1208. Crossref, MedlineGoogle Scholar
    • 2. Accardi G, Ligotti ME, Candore G. Phenotypic aspects of longevity. In: Caruso C (ed): Centenarians: An Example of Positive Biology. Switzerland: Springer, 2019, pp. 23–34. CrossrefGoogle Scholar
    • 3. Maier H, Gampe J, Jeune B, Robine JM, Waupel JW (eds): Supercentenarians. Berlin, Heidelberg: Springer, 2010. CrossrefGoogle Scholar
    • 4. Perls T, Shea-Drinkwater M, Bowen-Flynn J, et al. Exceptional familial clustering for extreme longevity in humans. J Am Geriatr Soc 2000;48:1483–1485. Crossref, MedlineGoogle Scholar
    • 5. Villa F, Ferrario A, Puca AA. Genetic signatures of centenarians. In: Caruso C, Ed., Centenarians. An Example of Positive Biology. Switzerland: Springer 2019; 87–97. CrossrefGoogle Scholar
    • 6. Pinna A, Zinellu A, Franconi F, Carru C. Plasma thiols and taurine levels in central retinal vein occlusion. Curr Eye Res 2010;35:644–650. Crossref, MedlineGoogle Scholar
    • 7. Zinellu A, Fois AG, Sotgia S, et al. Arginines plasma concentration and oxidative stress in mild to moderate COPD. PLoS One 2016;11:e0160237. Crossref, MedlineGoogle Scholar
    • 8. Sotgia S, Arru D, Sotgiu E, et al. Simultaneous determination of the main amino thiol and thione in human whole blood by CE and LC. Bioanalysis 2016;8:945–951. Crossref, MedlineGoogle Scholar
    • 9. Zinellu A, Fois AG, Zinellu E, et al. Increased kynurenine plasma concentrations and kynurenine-tryptophan ratio in mild-to-moderate chronic obstructive pulmonary disease patients. Biomark Med 2018;12:229–237 Crossref, MedlineGoogle Scholar
    • 10. Cawthon RM. Telomere measurement by quantitative PCR. Nucleic Acids Res 2002;30:e47. Crossref, MedlineGoogle Scholar
    • 11. Aviv A, Hunt SC, Lin J, Cao X, Kimura M, Blackburn E. Impartial comparative analysis of measurement of leukocyte telomere length/DNA content by Southern blots and qPCR. Nucleic Acids Res 2011;39:e134. Crossref, MedlineGoogle Scholar
    • 12. Cammarata G, Scalia S, Colomba P, et al. A pilot study of circulating microRNAs as potential biomarkers of Fabry disease. Oncotarget 2018;9:27333–27345. Crossref, MedlineGoogle Scholar
    • 13. Young RD, Kroczek WJ. Validated living worldwide supercentenarians 112+, living and recently deceased: February 2020. Rejuvenation Res 2020;23:65–67. LinkGoogle Scholar
    • 14. Accardi G, Aprile S, Candore G, et al. Genotypic and phenotypic aspects of longevity: Results from a Sicilian survey and implication for the prevention and treatment of age-related diseases. Curr Pharm Des 2019;25:228–235. Crossref, MedlineGoogle Scholar
    • 15. Olivieri F, Rippo MR, Monsurrò V, et al. MicroRNAs linking inflamm-aging, cellular senescence and cancer. Ageing Res Rev 2013;12:1056–1068. Crossref, MedlineGoogle Scholar
    • 16. Sebastiani P, Riva A, Montano M, et al. Whole genome sequences of a male and female supercentenarian, ages greater than 114 years. Front Genet 2012;2:90. Crossref, MedlineGoogle Scholar
    • 17. Brooks-Wilson AR. Genetics of healthy aging and longevity. Hum Genet 2013;132:1323–1338. Crossref, MedlineGoogle Scholar
    • 18. Vasto S, Buscemi S, Barera A, Di Carlo M, Accardi G, Caruso C. Mediterranean diet and healthy ageing: A Sicilian perspective. Gerontology 2014;60:508–518. Crossref, MedlineGoogle Scholar
    • 19. Vasto S, Rizzo C, Caruso C. Centenarians and diet: What they eat in the Western part of Sicily. Immun Ageing 2012;9:10. Crossref, MedlineGoogle Scholar
    • 20. Puca AA, Spinelli C, Accardi G, Villa F, Caruso C. Centenarians as a model to discover genetic and epigenetic signatures of healthy ageing. Mech Ageing Dev 2018;174:95–102. Crossref, MedlineGoogle Scholar
    • 21. Genton L, Karsegard VL, Kyle UG, Hans DB, Michel JP, Pichard C. Comparison of four bioelectrical impedance analysis formulas in healthy elderly subjects. Gerontology 2001;47:315–323. Crossref, MedlineGoogle Scholar
    • 22. Yalin SF, Gulcicek S, Avci S, et al. Single-frequency and multi-frequency bioimpedance analysis: What is the difference? Nephrology (Carlton) 2018;23:438–445. Crossref, MedlineGoogle Scholar
    • 23. Paolisso G, Barbieri M, Bonafè M, Franceschi C. Metabolic age modelling: The lesson from centenarians. Eur J Clin Invest 2000;30:888–894. Crossref, MedlineGoogle Scholar
    • 24. Romero-Corral A, Montori VM, Somers VK, et al. Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: A systematic review of cohort studies. Lancet 2006;368:666–678. Crossref, MedlineGoogle Scholar
    • 25. Pereira da Silva A, Matos A, Valente A, et al. Body composition assessment and nutritional status evaluation in men and women Portuguese centenarians. J Nutr Health Aging 2016;20:256–266. Crossref, MedlineGoogle Scholar
    • 26. Kouvari M, Chrysohoou C, Tsiamis E, et al. The “overweight paradox” in the prognosis of acute coronary syndrome for patients with heart failure-A truth for all? A 10-year follow-up study. Maturitas 2017;102:6–12. Crossref, MedlineGoogle Scholar
    • 27. Puzianowska-Kuznicka M, Kuryłowicz A, Walkiewicz D, et al. Obesity paradox in Caucasian seniors: Results of the PolSenior Study. J Nutr Health Aging 2019;23:796–804. Crossref, MedlineGoogle Scholar
    • 28. Lio D, Malaguarnera M, Maugeri D, et al. Laboratory parameters in centenarians of Italian ancestry. Exp Gerontol 2008;43:119–122. Crossref, MedlineGoogle Scholar
    • 29. Hernandez-Anzaldo S, Brglez V, Hemmeryckx B, et al. Novel role for matrix metalloproteinase 9 in modulation of cholesterol metabolism. J Am Heart Assoc 2016;5:e004228. Crossref, MedlineGoogle Scholar
    • 30. Jansen SW, Roelfsema F, van der Spoel E, et al. Familial longevity is associated with higher TSH secretion and strong TSH-fT3 relationship. J Clin Endocrinol Metab 2015;100:3806–3813. Crossref, MedlineGoogle Scholar
    • 31. Duntas LH. Thyroid function in aging: A discerning approach. Rejuvenation Res 2018;21:22–28. LinkGoogle Scholar
    • 32. Smith C, Voisin S, Al Saedi A, et al. Osteocalcin and its forms across the lifespan in adult men. Bone 2020;130:115085. Crossref, MedlineGoogle Scholar
    • 33. Willcox DC, Willcox BJ, Wang NC, He Q, Rosenbaum M, Suzuki M. Life at the extreme limit: Phenotypic characteristics of supercentenarians in Okinawa. J Gerontol A Biol Sci Med Sci 2008;63:1201–1208. Crossref, MedlineGoogle Scholar
    • 34. Arai Y, Inagaki H, Takayama M, et al. Physical independence and mortality at the extreme limit of life span: Supercentenarians study in Japan. J Gerontol A Biol Sci Med Sci 2014;69:486–494. Crossref, MedlineGoogle Scholar
    • 35. Aiello A, Di Bona D, Candore G, et al. Targeting aging with functional food: Pasta with opuntia single-arm pilot study. Rejuvenation Res 2018;21:249–256. LinkGoogle Scholar
    • 36. Accardi G, Aiello A, Vasto S, Caruso C. Chance and causality in ageing and longevity. In: Caruso C (ed): Centenarians: An Example of Positive Biology. Switzerland: Springer, 2019, pp. 1–21. CrossrefGoogle Scholar
    • 37. Salvioli S, Monti D, Lanzarini C, et al. Immune system, cell senescence, aging and longevity-inflamm-aging reappraised. Curr Pharm Des 2013;19:1675–1679. MedlineGoogle Scholar
    • 38. Bode-Böger SM, Scalera F, Ignarro LJ. The L-arginine paradox: Importance of the L-arginine/asymmetrical dimethylarginine ratio. Pharmacol Ther 2007;114:295–306. Crossref, MedlineGoogle Scholar
    • 39. Cammarata G, Duro G, Di Chiara T, Lo Curto A, Taverna S, Candore G. Circulating miRNAs in successful and unsuccessful aging. A mini-review. Curr Pharm Des 2019;25:4150–4153. Crossref, MedlineGoogle Scholar
    • 40. Horvath S, Pirazzini C, Bacalini MG, et al. Decreased epigenetic age of PBMCs from Italian semi-supercentenarians and their offspring. Aging (Albany NY) 2015;7:1159–1170. Crossref, MedlineGoogle Scholar
    • 41. Schoenhofen EA, Wyszynski DF, Andersen S, et al. Characteristics of 32 supercentenarians. J Am Geriatr Soc 2006;54:1237–1240. Crossref, MedlineGoogle Scholar
    • 42. Davinelli S, De Vivo I. Lifestyle choises, psychological stress and their impact on ageing: The role of telomeres. In: Caruso C (ed): Centenarians: An Example of Positive Biology. Switzerland: Springer, 2019, pp. 135–148. CrossrefGoogle Scholar
    • 43. Rode L, Nordestgaard BG, Bojesen SE. Peripheral blood leukocyte telomere length and mortality among 64,637 individuals from the general population. J Natl Cancer Inst 2015;107:djv074. Crossref, MedlineGoogle Scholar
    • 44. Di Bona D, Accardi G, Virruso C, Candore G, Caruso C. Association between genetic variations in the insulin/insulin-like growth factor (Igf-1) signaling pathway and longevity: A systematic review and meta-analysis. Curr Vasc Pharmacol 2014;12:674–681. Crossref, MedlineGoogle Scholar
    • 45. Revelas M, Thalamuthu A, Oldmeadow C, et al. Review and meta-analysis of genetic polymorphisms associated with exceptional human longevity. Mech Ageing Dev 2018;175:24–34. Crossref, MedlineGoogle Scholar
    • 46. Gurinovich A, Andersen SL, Puca A, Atzmon G, Barzilai N, Sebastiani P. Varying effects of APOE alleles on extreme longevity in European ethnicities. J Gerontol A Biol Sci Med Sci 2019;74(S1):S45–S51. Crossref, MedlineGoogle Scholar
    • 47. Gierman HJ, Fortney K, Roach JC, et al. Whole-genome sequencing of the world's oldest people. PLoS One 2014:9:e112430. Crossref, MedlineGoogle Scholar
    • 48. Santos-Lozano A, Sanchis-Gomar F, Pareja-Galeano H, et al. Where are supercentenarians located? A worldwide demographic study. Rejuvenation Res 2015;18:14–19. LinkGoogle Scholar
    • 49. Andersen SL, Sebastiani P, Dworkis DA, Feldman L, Perls TT. Health span approximates life span among many supercentenarians: Compression of morbidity at the approximate limit of life span. J Gerontol A Biol Sci Med Sci 2012;67:395–405. Crossref, MedlineGoogle Scholar
    • 50. Akhtarkhavari T, Joghataei MT, Fattahi Z, et al. Genetic investigation of an Iranian supercentenarian by whole exome sequencing. Arch Iran Med 2015;18:688–697. MedlineGoogle Scholar
    • 51. Arai Y, Martin-Ruiz CM, Takayama M, et al. Inflammation, but not telomere length, predicts successful ageing at extreme old age: A longitudinal study of semi-supercentenarians. EBioMedicine 2015;2:1549–1558. Crossref, MedlineGoogle Scholar
    • 52. Gondo Y, Hirose N, Yasumoto S, Arai Y, Saito Y. Age verification of the longest lived man in the world. Exp Gerontol 2017;99:7–17. Crossref, MedlineGoogle Scholar
    • 53. Hashimoto K, Kouno T, Ikawa T, et al. Single-cell transcriptomics reveals expansion of cytotoxic CD4 T cells in supercentenarians. Proc Natl Acad Sci U S A 2019;116:24242–24251. Crossref, MedlineGoogle Scholar
    • 54. Ribeiro O, Brandão D, Araújo L, Teixeira L, Paúl C, Poulain M. Exceptional siblings: The Andrade brothers. J Am Geriatr Soc 2020 [Epub ahead of print]; DOI: 10.1111/jgs.16396. Crossref, MedlineGoogle Scholar
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