Exploring Reference Values for Hair Cortisol: Hair Weight versus Hair Protein.


Journal

Therapeutic drug monitoring
ISSN: 1536-3694
Titre abrégé: Ther Drug Monit
Pays: United States
ID NLM: 7909660

Informations de publication

Date de publication:
12 Jun 2020
Historique:
entrez: 20 6 2020
pubmed: 20 6 2020
medline: 20 6 2020
Statut: aheadofprint

Résumé

As a marker of cumulative cortisol activity, hair cortisol has received attention in clinical and methodological research. Currently, it is common practice to relate hair cortisol concentration (HCC) to hair weight. The present paper explores hair protein concentration (HPC) as another possible reference value for HCC. For n = 18 hair samples cut from the posterior vertex, the HCC, HPC, and hair sample weight were determined, and the cortisol-to-weight and cortisol-to-protein ratios were calculated. Correlations were analyzed between HCC, HPC, and hair sample weight as well as between the cortisol-to-weight and cortisol-to-protein ratios. Hair sample weight and HPC were included as independent variables in a stepwise linear regression model to predict HCC. HCC and HPC did not correlate significantly (r = .393, p = .106); however, the correlation between HCC and hair sample weight was significant (r = .520, p = .027). HPC and hair sample weight (r = .605, p = .008) as well as the cortisol-to-weight and cortisol-to-protein ratios (r = .858, p < .000) showed a high correlation. Hair sample weight was the better predictor of HCC (β = .520, p = .027) than HPC (β = .125, p = .657). The results indicate that hair sample weight is the more suitable reference value for HCC. Thus, the standard cortisol-to-weight ratio should be used as the preferred expression for cumulative cortisol activity measured in scalp hair. However, calculating the cortisol-to-protein ratio can be considered as an alternative if the hair sample weight is not available.

Sections du résumé

BACKGROUND BACKGROUND
As a marker of cumulative cortisol activity, hair cortisol has received attention in clinical and methodological research. Currently, it is common practice to relate hair cortisol concentration (HCC) to hair weight. The present paper explores hair protein concentration (HPC) as another possible reference value for HCC.
METHODS METHODS
For n = 18 hair samples cut from the posterior vertex, the HCC, HPC, and hair sample weight were determined, and the cortisol-to-weight and cortisol-to-protein ratios were calculated. Correlations were analyzed between HCC, HPC, and hair sample weight as well as between the cortisol-to-weight and cortisol-to-protein ratios. Hair sample weight and HPC were included as independent variables in a stepwise linear regression model to predict HCC.
RESULTS RESULTS
HCC and HPC did not correlate significantly (r = .393, p = .106); however, the correlation between HCC and hair sample weight was significant (r = .520, p = .027). HPC and hair sample weight (r = .605, p = .008) as well as the cortisol-to-weight and cortisol-to-protein ratios (r = .858, p < .000) showed a high correlation. Hair sample weight was the better predictor of HCC (β = .520, p = .027) than HPC (β = .125, p = .657).
CONCLUSIONS CONCLUSIONS
The results indicate that hair sample weight is the more suitable reference value for HCC. Thus, the standard cortisol-to-weight ratio should be used as the preferred expression for cumulative cortisol activity measured in scalp hair. However, calculating the cortisol-to-protein ratio can be considered as an alternative if the hair sample weight is not available.

Identifiants

pubmed: 32558675
doi: 10.1097/FTD.0000000000000782
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Nadine Frisch (N)

Department of Child and Adolescent Mental Health, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6 and 10, 91054 Erlangen, Germany.

Anna Eichler (A)

Department of Child and Adolescent Mental Health, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6 and 10, 91054 Erlangen, Germany.

Anne-Christine Plank (AC)

Department of Child and Adolescent Mental Health, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6 and 10, 91054 Erlangen, Germany.

Yulia Golub (Y)

Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Fetscherstraße 74, 01307 Dresden, Germany.

Gunther H Moll (GH)

Department of Child and Adolescent Mental Health, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6 and 10, 91054 Erlangen, Germany.

Oliver Kratz (O)

Department of Child and Adolescent Mental Health, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6 and 10, 91054 Erlangen, Germany.

Classifications MeSH