» Articles » PMID: 25496803

Biomarkers for Assessing Population and Individual Health and Disease Related to Stress and Adaptation

Overview
Journal Metabolism
Specialty Endocrinology
Date 2014 Dec 16
PMID 25496803
Citations 61
Authors
Affiliations
Soon will be listed here.
Abstract

Biomarkers are important in stress biology in relation to assessing individual and population health. They facilitate tapping meaningfully into the complex, non-linear interactions that affect the brain and multiple systems of the body and promote adaptation or, when dysregulated, they can accelerate disease processes. This has demanded a multifactorial approach to the choice of biomarkers. This is necessary in order to adequately describe and predict how an individual embedded in a particular social and physical environment, and with a unique genotype and set of lifetime experiences, will fare in terms of health and disease risk, as well as how that individual will respond to an intervention. Yet, at the same time, single biomarkers can have a predictive or diagnostic value when combined with carefully designed longitudinal assessment of behavior and disease related to stress. Moreover, the methods of brain imaging, themselves the reflection of the complexity of brain functional architecture, have provided new ways of diagnosing, and possibly differentiating, subtypes of depressive illness and anxiety disorders that are precipitated or exacerbated by stress. Furthermore, postmortem assessment of brain biomarkers provides important clues about individual vulnerability for suicide related to depression and this may lead to predictive biomarkers to better treat individuals with suicidal depression. Once biomarkers are available, approaches to prevention and treatment should take advantage of the emerging evidence that activating brain plasticity together with targeted behavioral interventions is a promising strategy.

Citing Articles

Applying evidence-based cross-disciplinary concepts helps to explain the heterogeneity in pain, function, and biological measures in individuals with knee pain with/at risk of osteoarthritis.

Mickle A, Tanner J, Holmes 3rd U, Rashid A, Barolette O, Addison B Pain Rep. 2024; 10(1):e1225.

PMID: 39726853 PMC: 11671054. DOI: 10.1097/PR9.0000000000001225.


Allostatic load modelling, lifestyle and cardiological risk factor: evidence for integrating patient profiling in the optimisation of pharmacological therapies during follow-ups in hospital setting - PLAY-UP cohort study protocol.

Di Giacomo D, Sciarra L, Fusco L, Robles A, Pernat A, Romano S BMJ Open. 2024; 14(11):e082459.

PMID: 39572090 PMC: 11580299. DOI: 10.1136/bmjopen-2023-082459.


Occupational stress trajectories and metabolic dysfunction-associated steatotic liver disease among female nurses: a prospective Cohort Study.

Luo H, Xing L, Fu T, Xiao S, Fan L BMC Public Health. 2024; 24(1):3188.

PMID: 39550545 PMC: 11569610. DOI: 10.1186/s12889-024-20742-z.


Allostatic load and physiological responses to work stress: an integrative review.

Garcia J, Arteaga A Rev Bras Med Trab. 2024; 21(4):e2023945.

PMID: 39132278 PMC: 11316529. DOI: 10.47626/1679-4435-2023-945.


The Stress Phenotyping Framework: A multidisciplinary biobehavioral approach for assessing and therapeutically targeting maladaptive stress physiology.

Gilgoff R, Mengelkoch S, Elbers J, Kotz K, Radin A, Pasumarthi I Stress. 2024; 27(1):2327333.

PMID: 38711299 PMC: 11219250. DOI: 10.1080/10253890.2024.2327333.