27
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Technical and clinical aspects of cortisol as a biochemical marker of chronic stress

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Stress is now recognized as a universal premorbid factor associated with many risk factors of various chronic diseases. Acute stress may induce an individual’s adaptive response to environmental demands. However, chronic, excessive stress causes cumulative negative impacts on health outcomes through “allostatic load”. Thus, monitoring the quantified levels of long-term stress mediators would provide a timely opportunity for prevention or earlier intervention of stressrelated chronic illnesses. Although either acute or chronic stress could be quantified through measurement of changes in physiological parameters such as heart rate, blood pressure, and levels of various metabolic hormones, it is still elusive to interpret whether the changes in circulating levels of stress mediators such as cortisol can reflect the acute, chronic, or diurnal variations. Both serum and salivary cortisol levels reveal acute changes at a single point in time, but the overall long-term systemic cortisol exposure is difficult to evaluate due to circadian variations and its protein-binding capacity. Scalp hair has a fairy predictable growth rate of approximately 1 cm/month, and the most 1 cm segment approximates the last month’s cortisol production as the mean value. The analysis of cortisol in hair is a highly promising technique for the retrospective assessment of chronic stress. [BMB Reports 2015; 48(4): 209-216]

          Related collections

          Most cited references60

          • Record: found
          • Abstract: not found
          • Article: not found

          Protective and damaging effects of stress mediators.

          B S McEwen (1998)
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Salivary cortisol as a biomarker in stress research.

            Salivary cortisol is frequently used as a biomarker of psychological stress. However, psychobiological mechanisms, which trigger the hypothalamus-pituitary-adrenal axis (HPAA) can only indirectly be assessed by salivary cortisol measures. The different instances that control HPAA reactivity (hippocampus, hypothalamus, pituitary, adrenals) and their respective modulators, receptors, or binding proteins, may all affect salivary cortisol measures. Thus, a linear relationship with measures of plasma ACTH and cortisol in blood or urine does not necessarily exist. This is particularly true under response conditions. The present paper addresses several psychological and biological variables, which may account for such dissociations, and aims to help researchers to rate the validity and psychobiological significance of salivary cortisol as an HPAA biomarker of stress in their experiments.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis

              First released in 2009, MetaboAnalyst (www.metaboanalyst.ca) was a relatively simple web server designed to facilitate metabolomic data processing and statistical analysis. With continuing advances in metabolomics along with constant user feedback, it became clear that a substantial upgrade to the original server was necessary. MetaboAnalyst 2.0, which is the successor to MetaboAnalyst, represents just such an upgrade. MetaboAnalyst 2.0 now contains dozens of new features and functions including new procedures for data filtering, data editing and data normalization. It also supports multi-group data analysis, two-factor analysis as well as time-series data analysis. These new functions have also been supplemented with: (i) a quality-control module that allows users to evaluate their data quality before conducting any analysis, (ii) a functional enrichment analysis module that allows users to identify biologically meaningful patterns using metabolite set enrichment analysis and (iii) a metabolic pathway analysis module that allows users to perform pathway analysis and visualization for 15 different model organisms. In developing MetaboAnalyst 2.0 we have also substantially improved its graphical presentation tools. All images are now generated using anti-aliasing and are available over a range of resolutions, sizes and formats (PNG, TIFF, PDF, PostScript, or SVG). To improve its performance, MetaboAnalyst 2.0 is now hosted on a much more powerful server with substantially modified code to take advantage the server’s multi-core CPUs for computationally intensive tasks. MetaboAnalyst 2.0 also maintains a collection of 50 or more FAQs and more than a dozen tutorials compiled from user queries and requests. A downloadable version of MetaboAnalyst 2.0, along detailed instructions for local installation is now available as well.
                Bookmark

                Author and article information

                Journal
                BMB Rep
                BMB Rep
                ksbmb
                BMB Reports
                Korean Society for Biochemistry and Molecular Biology
                1976-6696
                1976-670X
                April 2015
                : 48
                : 4
                : 209-216
                Affiliations
                [1 ]Department of Bio and Fermentation Convergence Technology, Kookmin University, Seoul 136-702, Korea
                [2 ]Department of Psychiatry, Institute of Behavioral Science in Medicine, Brain Korea 21 Plus Project for Medical Science, Yonsei University College of Medicine, Seoul 120-752, Korea
                [3 ]Future Convergence Research Division, Korea Institute of Science and Technology, Seoul 136-791, Korea
                Author notes
                [* ]Eosu Kim, Tel: +82-2-2228-1620; Fax: +82-2-318-0891; E-mail: kimeosu@ 123456yuhs.ac Man Ho Choi, Tel: +82-2-958-5081, Fax: +82-2-958-5059, E-mail: mh_choi@ 123456kist.re.kr
                Article
                BMB-48-209
                10.5483/BMBRep.2015.48.4.275
                4436856
                25560699
                9a3b7681-2f30-4a39-a8b6-b08ebc58fd19
                Copyright © 2015, Korean Society for Biochemistry and Molecular Biology

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (-g0 http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 October 2014
                Categories
                Invited Mini Review

                stress,allostasis,cortisol,hair,mass spectrometry,metabolomics
                stress, allostasis, cortisol, hair, mass spectrometry, metabolomics

                Comments

                Comment on this article