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Twin Research and Genetic Epidemiology Unit (A.V., T.D.S.) and Department of Chemical Pathology (R.S.), St. Thomas’ Hospital, London SE1 7EH, United Kingdom; and Department of Pediatrics (A.A., J.P.G., M.K.), Hypertension Research Center, University of Medicine and Dentistry of New Jersey, New Jersey Medical School, Newark, New Jersey 07103
Address all correspondence and requests for reprints to: Abraham Aviv, M.D., Room F-464 MSB, Department of Pediatrics, Hypertension Research Center, University of Medicine and Dentistry of New Jersey, New Jersey Medical School, 185 South Orange Avenue, Newark, New Jersey 07103. E-mail: avivab{at}umdnj.edu.
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Abstract |
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Objective: We explored whether menopausal status modifies the relations between leukocyte telomere length and insulin resistance. In addition, we examined the effect of menopause on the relation between leukocyte telomere length and C-reactive protein (CRP), an index of inflammation.
Design: This was an observational cohort study.
Setting: The study setting was community based.
Participants: A total of 1517 women aged 18–79 yr selected only for belonging to a twin pair and representative of the general population participated in the study.
Main Outcome Measure: Leukocyte telomere restriction fragment length (TRFL) was measured.
Results: Insulin resistance (expressed in the homeostasis model assessment), leptin, and CRP were inversely correlated with leukocyte TRFL in premenopausal but not postmenopausal women. Insulin resistance, CRP, but not leptin independently accounted for variation in white blood cell TRFL in premenopausal women.
Conclusions: Menopausal status impacts leukocyte telomere length and its relation with insulin resistance and inflammation in women.
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Introduction |
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There are considerable age-dependent reconfigurations of both insulin resistance and adiposity, which, in women, are further modified by the menopausal status. For instance, glucose intolerance is increased not only with the redistribution of body fat toward more central obesity but also due to fat accumulation in skeletal muscle and liver, a phenomenon associated with mitochondrial dysfunctions (10, 11, 12, 13, 14). These changes may alter insulin-dependent glucose regulation. Moreover, whereas insulin resistance primarily relates to visceral fat, leptin levels are predominantly a function of sc fat (15, 16, 17).
Given that the postmenopausal state is frequently marked by increased central obesity (18), the interrelation between leukocyte telomeres dynamics with both insulin resistance and leptin may differ in postmenopausal vs. premenopausal women. Although previous works have observed that insulin resistance (8) and leptin (9) were inversely correlated with age-adjusted telomere length, the question is whether these two variables, which are linked to adiposity, independently account for variation in leukocyte telomere length. In addition, because insulin resistance is a state of increased inflammation (1, 2, 3), we examined in this work the interrelation between leukocyte telomere length and C-reactive protein (CRP), the plasma concentration of which increases with inflammation (19, 20). Our main goal was to examine the effect of menopausal status (women 50 yr old or younger vs. women older than 50 yr) on the relations of leukocyte telomere length with insulin resistance, serum leptin, and CRP in a large female cohort and explore which of these variables independently accounts for variation in telomere length among individuals.
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Subjects and Methods |
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We studied 1517 Caucasian female twins (aged 18–79 yr) from the St. Thomas’ (Twins UK) Adult Twin Registry. They were ascertained from the general population and shown to be comparable with age-matched population singletons (21, 22). These unselected twins have been recruited since 1992 using twin registers and national media campaigns and used in a wide variety of studies (23). Historically the cohort is predominantly female, and measurements were performed preferentially on dizygotic twins as part of ongoing genetic studies. All women provided informed consent approved by The St. Thomas’ Hospital Research Ethics Committee. A recent communication reported leukocyte telomere length in relation to BMI, leptin, and cigarette smoking in a subset of this cohort (9).
For all practical purposes, by the age of 50 yr, most women have reached menopause. We therefore characterized women according to age 50 yr or younger as premenopausal and women older than 50 yr as postmenopausal. In this cohort, the subset of women for which age at natural menopause (at least 1 yr since the last period) could be accurately determined (excluding surgical menopause) was 715, with the median age at menopause 50 yr (mean 48.5, SD 4.8).
General considerations
Means and ranges of quantitative phenotypes in Twins UK are normally distributed and similar to the age-matched general population in the United Kingdom (22). Zygosity was determined by standardized questionnaire and confirmed by DNA fingerprinting.
Biochemical measurements
Blood sample collection for determination of fasting insulin and glucose was as described by de Lange et al. (23). Fasting insulin was determined by immunoassay (Abbott Laboratories Ltd., Maidenhead, UK) and glucose measured on Ektachem 700 multichannel analyzer, using an enzymatic colorimetric slide assay (Johnson and Johnson Clinical Diagnostic Systems, Amersham, UK). Insulin resistance was evaluated using the homeostasis model assessment (HOMA-IR), calculated as (fasting insulin x glucose)/22.5 (23). Plasma leptin concentration was determined after an overnight fast using a RIA (Linco Research, St. Louis, MO). CRP assays were performed by an ELISA method, which has a lower detection limit of 0.15 mg/liter and a coefficient of variation of 8.7% at 0.5 mg/liter. Subjects with levels above 10 mg/liter were excluded because this indicated clinically relevant infection inflammation or malignancy.
Measurement of the mean terminal restriction fragment length (TRFL)
Measurements were performed as previously described (8). Briefly, DNA samples were checked for integrity on 0.8% agarose gel. They were then digested overnight with restriction enzymes HinfI (10 U) and RsaI (10 U) (Roche, Indianapolis IN). DNA samples (3 µg each) and four DNA ladders (1 kb DNA ladder plus 
DNA/HindIII fragments; Invitrogen, Carlsbad, CA) were resolved on a 0.5% agarose gel (20 cm x 20 cm) at 50 V (GNA-200; Pharmacia Biotech, Uppsala, Sweden). After 16 h, the DNA was depurinated for 15 min in 0.25 N HCl, denatured 30 min in 0.5 mol/liter NaOH per 1.5 mol/liter NaCl, and neutralized for 30 min in 0.5 mol/liter Tris (pH 8)/1.5 M NaCl. The DNA was transferred for 1 h to a positively charged nylon membrane (Roche) using a vacuum blotter (Appligene; Oncor, Gaithersburg, MD). The membranes were hybridized at 65 C with the telomeric probe [digoxigenin 3'-end-labeled 5'-(CCTAAA)3] overnight in 5x saline sodium citrate (SSC), 0.1% Sarkosyl, 0.02% sodium dodecyl sulfate, and 1% blocking reagent (Roche). The membranes were washed three times at room temperature in 2x SSC and 0.1% sodium dodecyl sulfate each for 15 min and once in 2x SSC for 15 min. The digoxigenin-labeled probe was detected by the digoxigenin luminescent detection procedure (Roche) and exposed on x-ray film. The autoradiographs were scanned and the TRFL signal digitized between molecular weight (MW) of 1–20 kb. The mean TRF length was then calculated accordingly. Conversion of the OD vs. DNA migration distance to OD (adjusted for background)/MW vs. MW yielded a new histogram from which the mean TRFL was calculated. We routinely resolve each DNA sample in duplicate (on different gels). If the difference between the duplicates is more than 5%, a third measurement is performed and the mean of two results less than 5% apart is taken.
Statistical analysis
Univariate and multivariate ANOVAs were used to compare the characteristics of women aged 50 yr or younger with women older than 50 yr. Standard multiple linear regression techniques were used to assess the correlation of TRFL with the individual factors listed in Table 1
including age and other covariates as indicated. Natural log-transformed leptin, insulin, glucose, HOMA-IR, and CRP values were used for all statistical analyses. Because twin-pair data are not independent observations, we examined the correlation between TRFL vs. the various factors, taking an independent sample each time, i.e. a subset of samples composed of a random twin from each pair. This bootstrap procedure was carried out 100 times, and the mean test statistic was used to assess statistical significance where indicated. S-Plus 6.0 (Insightful Corp., Basingstoke, UK) software was used.
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Results |
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Table 1
displays major characteristics of premenopausal (age 50 yr or younger), postmenopausal (age older than 50 yr), and both combined. There was an approximately 20-yr difference in the mean age between postmenopausal and premenopausal women. The BMI, fasting insulin, glucose, HOMA-IR, leptin, and CRP were all higher in postmenopausal than premenopausal women. Whereas 26.5% of women 50 yr or younger smoked, only 15.2% of women older than 50 yr were still smokers. Ex-smokers comprised 49.9% of women 50 yr or younger and 51.0% of women older than 50 yr.
TRFL parameters
The overall yearly rate of leukocyte TRFL attrition was 20.5 ± 1.1 bp (r = –0.385, P = 1 x 10–62). The yearly TRFL attrition for premenopausal women and postmenopausal women were, respectively, 22.1 ± 2.9 and 20.2 ± 4.1 bp.
Table 2 displays the leukocyte TRFL without and with adjustment for age, smoking, and BMI. These adjustments were undertaken based on our previous observations that leukocyte TRFL was inversely correlated with not only age but also BMI and cigarette smoking (8, 9). Without adjustments, TRFL was shorter by 390 bp in postmenopausal than premenopausal women, but this difference largely disappeared after adjustment for age, smoking, and BMI.
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For both pre- and postmenopausal women, there were strong positive correlations between ln-HOMA-IR and ln-leptin (Fig. 1). Strong positive correlations were also observed for ln-HOMA-IR and ln-leptin with BMI (Fig. 1).
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There were strong correlations of ln-CRP with both ln-HOMA-IR and ln-leptin for women 50 yr or younger, women older than 50 yr, and all women combined (Table 3).
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Table 4 summarizes the relations of age- and smoking-adjusted TRFL with indices of glucose regulation (fasting insulin, glucose, and HOMA-IR), leptin, and CRP in pre- and postmenopausal women. Age- and smoking-adjusted TRFL was inversely correlated with indices of glucose regulation in premenopausal but not postmenopausal women. Age- and smoking-adjusted TRFL was also inversely correlated with leptin in premenopausal women. This relation was of borderline significance in the postmenopausal women. For the premenopausal women, the relations between age- and smoking-adjusted TRFL and indices of glucose regulation were considerably more robust than those between TRFL and leptin. Age- and smoking-adjusted TRFL was inversely correlated with CRP in premenopausal but not postmenopausal women.
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). For premenopausal women, age, smoking, ln-HOMA-IR, ln-CRP, but not ln-leptin independently accounted for variation in TRFL. For postmenopausal women, age and smoking but not ln-HOMA-IR, ln-leptin, and ln-CRP independently accounted for variation in TRFL.
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Discussion |
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TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
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Neither insulin nor glucose is likely to be the factor that mechanistically connects insulin resistance with leukocyte telomere dynamics. Rather, the states of insulin resistance and adiposity, expressed by inflammation and perhaps oxidative stress (1, 2, 3, 4, 5), probably modify leukocyte telomere attrition.
One potential explanation for the altered relation between insulin resistance and leukocyte telomere length in postmenopausal women is aging itself. As women get older, the underlying reasons for their insulin resistance might be less related to the body mass and adiposity per se. Such a transformation would weaken the relation between leukocyte telomere dynamics and insulin resistance. For instance, studying lean (BMI < 25 kg/m2) elderly and young volunteers, Peterson et al. (14) observed marked insulin resistance in the elderly, which arose from a decline in insulin-mediated glucose metabolism in skeletal muscle, associated with a considerable reduction in mitochondrial oxidative activity and phosphorylation. These findings indicate that independent of adiposity, aging itself contributes to insulin resistance, and they point to an aging-related shift in the mechanisms behind insulin resistance.
Another alternative explaining the absent association between leukocyte telomere length and insulin resistance in postmenopausal women is the dramatic decline in ovarian steroid hormones, particularly estrogen, during the postmenopausal period. Estrogen may be linked to leukocyte telomere dynamics through its antiinflammatory and antioxidant attributes and its ability to stimulate telomerase, a reverse transcriptase that elongates telomere ends (24).
Estrogen is a potent antiinflammatory agent because it lowers the production of cytokines, including the proinflammatory TNF
(25, 26, 27, 28). Depending on tissues examined, insulin resistance may arise from or be caused by oxidative stress (29, 30, 31, 32). One of the factors that defend against oxidative stress is estrogen (32, 33, 34). The antioxidant activity of estrogen may also mediate its antidiabetic property (35). Estrogen serves as an antioxidant by mechanisms that are not fully elucidated but appear to be exerted via membrane/cytoplasmic receptors (36). Estrogen stimulates the mitochondrial superoxide dismutase (Mn-SOD) and glutathione peroxidase (Gpx) (32), two powerful enzymes engaged in the metabolism of reactive oxygen species. Because neither Mn-SOD nor Gpx has an estrogen-responsive element in its promoter regions, a direct genomic effect in this stimulation is unlikely.
In contrast to Mn-SOD and Gpx, the catalytic subunit of telomerase (TERT) promoter possesses not only an estrogen-response element (37) but also binding sites for a number of transcription factors, including nuclear factor-
B (NFB) (38). Telomerase comprises, in addition to TERT, a RNA subunit (24). Whereas the RNA subunit is constitutively expressed in most cells, the activity of the enzyme correlates with the expression of TERT. Estrogen stimulates telomerase via TERT and through other posttranscriptional modifications that include Akt protein kinase, a downstream mediator of phosphoinositol 3-kinase (PI3K) (39, 40). The PI3K mode of telomerase activation is particularly relevant in that estrogen stimulates the PI3K/Akt cascade and induces the association of NFB with TERT in different cell types, including lymphocytes (41, 42, 43). In addition, estrogen induces the Akt-dependent endothelial nitric-oxide synthase (44) to increase nitric oxide production and stimulate telomerase activity (45). These effects may explain telomere dynamics in cells possessing estrogen receptors (45, 46). Because estrogen-mediated up-regulation of Mn-SOD and Gpx expressions is also through the NFB (32), the hormone may exert some of its antioxidant effects and stimulate telomerase through the same cellular pathways.
The postmenopausal period would therefore dramatically recast some of the key variables that affect leukocyte telomere dynamics. Not only the drop in estrogen but also the redistribution of body fat centrally would alter leukocyte telomere attrition because fat is the source of both leptin and other adipocytokines that impact both inflammation and insulin resistance (47, 48). Subsequently the changing nature of insulin resistance with age would further modify its link to leukocyte telomere dynamics. In this regard, the fact that CRP accounted independently of insulin resistance for variation in leukocyte telomere length in premenopausal women suggests that the effect of inflammation on leukocyte telomere dynamics goes above and beyond that of insulin resistance.
Because leukocyte telomere length is a record of their replicative history and the cumulative burden of inflammation and oxidative stress over the life of the individual, menopause might alter the trajectory of telomere attrition and thereby offset the relations between telomere length and indices of insulin resistance and inflammation observed during the premenopausal period. This tenet can be explored by longitudinal studies of leukocyte telomere dynamics, which may enrich our understanding of the role of menopause in the biology of human aging.
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Footnotes |
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First Published Online November 22, 2005
Abbreviations: BMI, Body mass index; CRP, C-reactive protein; Gpx, glutathione peroxidase; HOMA-IR, insulin resistance evaluation using the homeostasis model assessment; Mn-SOD, mitochondrial superoxide dismutase; MW, molecular weight; NFB, nuclear factor-B; PI3K, phosphoinositol 3-kinase; SSC, saline sodium citrate; TERT, catalytic subunit of telomerase; TRFL, telomere restriction fragment length.
Received August 11, 2005.
Accepted November 11, 2005.
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References |
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TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
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inhibition enhances NO modulation of vascular function in estrogen-deficient rats. Hypertension 46:76–81 inhibits endothelial nitric-oxide synthase gene promoter activity in bovine aortic endothelial cells. J Biol Chem 279:963–969: a missing link between menopause and cardiovascular risk in women? Hypertension 56:21–22 induces rapid activation and nuclear translocation of telomerase in human lymphocytes. Biochem Biophys Res Commun 316:528–532[CrossRef][Medline]-transfected PC12 cells by activation of telomerase activity via Akt cascade. J Endocrinol 183:605–615This article has been cited by other articles:
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 |
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 C. J. O'Donnell, S. Demissie, M. Kimura, D. Levy, J. P. Gardner, C. White, R. B. D'Agostino, P. A. Wolf, J. Polak, L. A. Cupples, et al. Leukocyte Telomere Length and Carotid Artery Intimal Medial Thickness: The Framingham Heart Study Arterioscler Thromb Vasc Biol, June 1, 2008; 28(6): 1165 - 1171. [Abstract] [Full Text] [PDF]
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 A. Aviv, A. M Valdes, and T. D Spector Human telomere biology: pitfalls of moving from the laboratory to epidemiology Int. J. Epidemiol., December 1, 2006; 35(6): 1424 - 1429. [Abstract] [Full Text] [PDF]
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