Leukocyte telomere length is associated with HDL cholesterol levels: The Bogalusa heart study

2009 ◽  
Vol 205 (2) ◽  
pp. 620-625 ◽  
Author(s):  
Wei Chen ◽  
Jeffrey P. Gardner ◽  
Masayuki Kimura ◽  
Michael Brimacombe ◽  
Xiaojian Cao ◽  
...  
Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Christina D Jordan

Introduction: Leukocyte telomere length (LTL), a biomarker of cellular aging, is associated with human longevity. Psychosocial stressors are associated with shorter LTL. African Americans (AAs) experience greater stressor levels compared to other racial and ethnic groups. Research on associations of psychosocial factors with LTL among AAs is not well understood. Using Jackson Heart Study (JHS) data, we examined associations of psychosocial factors (negative affect and stressors) with LTL among AAs. Hypothesis: We hypothesized that psychosocial factors are inversely associated with LTL. Methods: Analysis was restricted to 2,516 JHS participants with LTL and psychosocial data between 2000-2004. Cross-sectional associations of negative affect [cynical distrust, anger-in, anger-out, depressive symptoms] and stressors [perceived stress, weekly stress inventory event (WSI-event), WSI-impact, major life event (MLE)] were examined with LTL among participants aged 21-95 years old (women=1,542; men=974). Psychosocial variables were measured by standardized questionnaires; LTL was measured by Southern blot. Summations of the four psychosocial measures were created for negative affect and stressors, with scores ranging from 4-12. We expressed each individual psychosocial measure into categories (tertiles: low, moderate, high) and in continuous standard deviation (SD) units. Using multivariable linear regression we evaluated the associations of psychosocial factors with mean differences (beta coefficient, b) in LTL adjusting for demographics (Model 1), socioeconomic status (SES) (Model 2), health behaviors, cardiovascular disease (CVD) risk factors (Model 3), and coping (Model 4). Results: High (vs low) anger-out was inversely associated with LTL in Model 1 (b = -0.043, p=0.008) and Model 2 (b = -0.0395, p=0.03), where 1-SD unit increase in anger-out was associated with shorter LTL. High (vs low) cumulative negative affect was marginally associated with insignificantly shorter LTL in Model 1 (b = -0.09, p=0.06) and Model 2 (b = -0.09, p=0.07) before transformation to SD units. There was no association between psychosocial stressors and shorter LTL in this sample. Paradoxically, high (vs low) WSI-event was positively associated with LTL (b =0.042, p=0.016), where 1-SD unit increase in WSI-event was associated with longer LTL after full adjustment. Conclusion: Depressive symptoms were associated with LTL shortening in the literature. The current study associates anger-out with shorter LTL, while WSI-event was associated with longer LTL among AAs in the JHS. Possibly, stress pathways that effect telomere length vary, where high stress can trigger LTL lengthening or shortening. Mechanisms of the paradoxical association between stress and telomere length must be further explored among AAs.


2018 ◽  
Vol 35 (2) ◽  
pp. 138-145 ◽  
Author(s):  
Christina D. Jordan ◽  
LáShauntá M. Glover ◽  
Yan Gao ◽  
Solomon K. Musani ◽  
Stanford Mwasongwe ◽  
...  

Aging ◽  
2019 ◽  
Vol 11 (21) ◽  
pp. 9893-9900
Author(s):  
Miaoying Yun ◽  
Shengxu Li ◽  
Yinkun Yan ◽  
Tao Zhang ◽  
Lydia Bazzano ◽  
...  

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Kirsten S Dorans ◽  
Jiang He ◽  
Jovia L Nierenberg ◽  
Changwei Li ◽  
Xiaoying Gu ◽  
...  

Background: The increasing prevalence of diabetes mellitus, a major cause of morbidity and mortality worldwide, is a critical public health concern. Though a number of studies have evaluated the associations of metabolites with prediabetes and diabetes, further exploration in this relatively new field may identify novel biomarkers for predicting, detecting, and managing hyperglycemia and diabetes. Objective: We conducted a metabolome-wide association study among 805 white and 426 African-American participants of the Bogalusa Heart Study (BHS) to identify metabolites associated with markers of glycemia and diabetes. Methods: After rigorous quality control, 1,202 metabolites quantified by untargeted, ultra-high performance liquid chromatography tandem-mass spectroscopy were tested for association with fasting glucose, hemoglobin A1c and diabetes. Multiple regression analyses were run in race-stratified and combined samples, adjusting for age, sex, education, blood pressure, body mass index, HDL-cholesterol, smoking, eGFR, fasting glucose (for HbA1c and diabetes), and race (in combined analyses). For fasting glucose and HbA1c, those taking diabetes medications were excluded. Metabolites were considered significant if they were significant (P<4.15х10 -5 ; Bonferroni corrected for 1,202 metabolites) in one race group and the entire cohort, with a similar trend observed in the other race group. Results: After Bonferroni corrections, among 72 metabolites significantly associated with at least one glycemic outcome, 27 were novel and in known pathways: 5 from amino acid, 1 from carbohydrate, 18 from lipid, 1 from xenobiotics, and 2 from nucleotide pathways. Metabolites consistently associated with diabetes are shown in the Table . Conclusions: These results identified novel metabolites associated with glycemic outcomes, providing additional evidence on the importance of serum metabolites in hyperglycemia and diabetes.


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