scholarly journals The nonhuman primate hypothalamo-pituitary-adrenal axis is an orchestrator of programming-aging interactions: role of nutrition

2020 ◽  
Vol 78 (Supplement_2) ◽  
pp. 48-61 ◽  
Author(s):  
Peter W Nathanielsz ◽  
Hillary F Huber ◽  
Cun Li ◽  
Geoffrey D Clarke ◽  
Anderson H Kuo ◽  
...  

Abstract Developmental programming alters life-course multi-organ function and significantly affects life-course health. Recently, interest has developed in how programming may influence the rate of aging. This review describes interactions of nutrition and programming-aging interactions in hypothalamo-pituitary-adrenal (HPA) development and function from fetal development to old age. A full picture of these interactions requires data on levels of HPA activity relating to the hypothalamic, adrenal cortical, circulating blood, and peripheral cortisol metabolism. Data are provided from studies on our baboon, nonhuman primate model both across the normal life course and in offspring of maternal baboons who were moderately undernourished by a global 30% diet reduction during pregnancy and lactation. Sex differences in offspring outcomes in response to similar challenges are described. The data clearly show programming of increased HPA axis activity by moderate maternal undernutrition. Increased postnatal circulating cortisol concentrations are related to accelerated aging of the brain and cardiovascular systems. Future studies should address peripheral cortisol production and the influence of aging advantage in females. These data support the view that the HPA is an orchestrator of interactions of programming-aging mechanisms.

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 222-OR
Author(s):  
MICHAEL J. NASH ◽  
TAYLOR K. SODERBORG ◽  
RACHEL C. JANSSEN ◽  
ERIC M. PIETRAS ◽  
JACOB E. FRIEDMAN

2017 ◽  
Vol 13 (12) ◽  
pp. e1006753 ◽  
Author(s):  
Anjie Zhen ◽  
Christopher W. Peterson ◽  
Mayra A. Carrillo ◽  
Sowmya Somashekar Reddy ◽  
Cindy S. Youn ◽  
...  

2018 ◽  
Vol 14 (3) ◽  
pp. e1006891 ◽  
Author(s):  
Anjie Zhen ◽  
Christopher W. Peterson ◽  
Mayra A. Carrillo ◽  
Sowmya Somashekar Reddy ◽  
Cindy S. Youn ◽  
...  

2020 ◽  
Author(s):  
Di Wu ◽  
Yongjuan Fu ◽  
Longfei Wu ◽  
Mitchell Huber ◽  
Jian Chen ◽  
...  

Author(s):  
Yining Chen ◽  
Meredith C. Poole ◽  
Shelby V. Olesovsky ◽  
Allen A. Champagne ◽  
Kathleen A. Harrison ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jeffrey L. Ebersole ◽  
Radhakrishnan Nagarajan ◽  
Sreenatha Kirakodu ◽  
Octavio A. Gonzalez

AbstractWe used a nonhuman primate model of ligature-induced periodontitis to identify patterns of gingival transcriptomic after changes demarcating phases of periodontitis lesions (initiation, progression, resolution). A total of 18 adult Macaca mulatta (12–22 years) had ligatures placed (premolar, 1st molar teeth) in all 4 quadrants. Gingival tissue samples were obtained (baseline, 2 weeks, 1 and 3 months during periodontitis and at 5 months resolution). Gene expression was analyzed by microarray [Rhesus Gene 1.0 ST Array (Affymetrix)]. Compared to baseline, a large array of genes were significantly altered at initiation (n = 6049), early progression (n = 4893), and late progression (n = 5078) of disease, with the preponderance being up-regulated. Additionally, 1918 genes were altered in expression with disease resolution, skewed towards down-regulation. Assessment of the genes demonstrated specific profiles of epithelial, bone/connective tissue, apoptosis/autophagy, metabolism, regulatory, immune, and inflammatory responses that were related to health, stages of disease, and tissues with resolved lesions. Unique transcriptomic profiles occured during the kinetics of the periodontitis lesion exacerbation and remission. We delineated phase specific gene expression profiles of the disease lesion. Detection of these gene products in gingival crevicular fluid samples from human disease may contribute to a better understanding of the biological dynamics of the disease to improve patient management.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.C Topriceanu ◽  
J.C Moon ◽  
R Hardy ◽  
A.D Hughes ◽  
N Chaturvedi ◽  
...  

Abstract Background Cardiovascular diseases are an important component of the multi-morbidity syndrome which is associated with negative health outcomes resulting in a major societal economic burden. An objective way to assess multi-morbidity is to calculate a frailty index based on medical deficit accumulation. Late-life frailty has been validated to predict mortality, but little is known about the association between life-course frailty and cardiovascular health in later-life. Purpose To study the association between life-course frailty and later-life heart size and function using data from the world's longest running birth cohort with continuous follow-up. Methods A 45-deficit frailty index (FI) was calculated at 4 age-intervals across the life-course (0 to 16 years old, 19 to 44 years old, 45 to 54 years old and 60 to 64 years old) in participants from the UK 1946 Medical Research Council (MRC) National Survey of Heath and Development (NSHD) birth cohort. The life-course frailty indices (FI0_16, FI19_44, FI45_54 and FI60_64) reflect the cumulative medical deficits at the corresponding age-intervals. They were used to derive FImean and FIsum reflecting overall-life frailty. The step change in deficit accumulation between age-intervals was also calculated (FI2-1, FI3-1, FI4-1, FI3-2, FI4-2, FI4-3). Echocardiographic data at 60–64 years provided: E/e' ratio, ejection fraction (EF), myocardial contraction fraction index (MCFi) and left ventricular mass index (LVmassi). Generalized linear mixed models with gamma distribution and log link assessed the association between FIs and echo parameters after adjustment for sex, socio-economic position and body mass index. Results 1.805 NSHD participants were included (834 male). Accumulation of a single deficit had a significant impact (p<0.0001 to p<0.049) on LVmassi and MCFi in all the life-course FIs and overall FIs. LVmassi increased by 0.89% to 1.42% for the life-course FIs and by 0.36%/1.82% for FIsum and FImean respectively. MCFi decreased by 0.62% to 1.02% for the life-course FIs and by 0.33%/ 1.04%. for FIsum and FImean respectively. One accumulated deficit translated into higher multiplicative odds (13.2 for FI60-64, 2.1 for FI4-1, 75.4 for FI4-2 and 78.5 for FI4-3) of elevated filling pressure (defined as E/e' ratio >13, p<0.0.005 to p<0.02).A unit increase in frailty decreased LV EF (%) by 11%/12% for FI45-54 and FI60-64 respectively, by 10% to 12% for FI2-1, FI3-1, FI4-1 and FI4-2, and 4%/15% for FIsum and FImean respectively (p<0.0014 to p<0.044). Conclusion Frailty during the life-course, overall life-frailty and the step change in deficit accumulation is associated with later-life cardiac dysfunction. Frailty strain appears to have its greatest impact on pathological myocardial hypertrophy (high LVmassi and low MCFi) potentially paving the way to later-life systolic or diastolic dysfunction in susceptible individuals. Funding Acknowledgement Type of funding source: None


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