Dataset Information

Chronic stress exposure and daily stress appraisals relate to biological aging marker p16INK4a.

ABSTRACT: Previous research has linked exposure to adverse social conditions with DNA damage and accelerated telomere shortening, raising the possibility that chronic stress may impact biological aging pathways, ultimately increasing risk for age-related diseases. Less clear, however, is whether these stress-related effects extend to additional hallmarks of biological aging, including cellular senescence, a stable state of cell cycle arrest. The present study aimed to investigate associations between psychosocial stress and two markers of cellular aging-leukocyte telomere length (LTL) and cellular senescence signal p16INK4a. Seventy-three adults (Mage?=?43.0, SD?=?7.2; 55% female) with children between 8-13 years of age completed interview-based and questionnaire measures of their exposures to and experiences of stress, as well as daily reports of stress appraisals over an 8-week diary period. Blood samples were used to assess markers of cellular aging: LTL and gene expression of senescent cell signal p16INK4a (CDKN2A). Random effects models covarying for age, sex, ethnicity/race, and BMI revealed that participants with greater chronic stress exposure over the previous 6 months (b?=?0.011, p?=? .04), perceived stress (b = 0.020, p?

SUBMITTER: Rentscher KE

PROVIDER: S-EPMC6420375 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Chronic stress exposure and daily stress appraisals relate to biological aging marker p16<sup>INK4a</sup>.

Rentscher Kelly E KE Carroll Judith E JE Repetti Rena L RL Cole Steve W SW Reynolds Bridget M BM Robles Theodore F TF

Psychoneuroendocrinology 20181207

Previous research has linked exposure to adverse social conditions with DNA damage and accelerated telomere shortening, raising the possibility that chronic stress may impact biological aging pathways, ultimately increasing risk for age-related diseases. Less clear, however, is whether these stress-related effects extend to additional hallmarks of biological aging, including cellular senescence, a stable state of cell cycle arrest. The present study aimed to investigate associations between psyc ...[more]

PMID: 30557761

Similar Datasets

Project description:The high packing density inside proteins leads to certain geometric regularities and also is one of the most important contributors to the high extent of cooperativity manifested by proteins in their cohesive domain motions. The orientations between neighboring nonbonded residues in proteins substantially follow the similar geometric regularities, regardless of whether the residues are on the surface or buried, a direct result of hydrophobicity forces. These orientations are relatively fixed and correspond closely to small deformations from those of the face-centered cubic lattice, which is the way in which identical spheres pack at the highest density. Packing density also is related to the extent of conservation of residues, and we show this relationship for residue packing densities by averaging over a large sample or residue packings. There are three regimes: (1) over a broad range of packing densities the relationship between sequence entropy and inverse packing density is nearly linear, (2) over a limited range of low packing densities the sequence entropy is nearly constant, and (3) at extremely low packing densities the sequence entropy is highly variable. These packing results provide important justification for the simple elastic network models that have been shown for a large number of proteins to represent protein dynamics so successfully, even when the models are extremely coarse grained. Elastic network models for polymeric chains are simple and could be combined with these protein elastic networks to represent partially denatured parts of proteins. Finally, we show results of applications of the elastic network model to study the functional motions of the ribosome, based on its known structure. These results indicate expected correlations among its components for the step-wise processing steps in protein synthesis, and suggest ways to use these elastic network models to develop more detailed mechanisms, an important possibility because most experiments yield only static structures.

Dataset Information

Chronic stress exposure and daily stress appraisals relate to biological aging marker p16INK4a.

Publications

Chronic stress exposure and daily stress appraisals relate to biological aging marker p16<sup>INK4a</sup>.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets