Relation between skin micro‐topography, roughness, and skin age

Trojahn, Carina; Dobos, Gábor; Schario, Marianne; Ludriksone, Laine; Blume-Peytavi, Ulrike; Kottner, Jan

doi:10.1111/srt.12158

Cited by 56 publications

(83 citation statements)

References 41 publications

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“…NMF) that may cause these changes, the literature has barely addressed geometric changes in skin or considered how body growth and skin surface area growth may contribute to changing skin barrier properties [24]. However, there is converging evidence that these geometric properties may indeed be significant to barrier formation and functionality.…”

Section: Introductionmentioning

confidence: 99%

Developmental Changes in Skin Barrier and Structure during the First 5 Years of Life

Walters

Khanna

Chu

et al. 2016

Skin Pharmacol Physiol

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The structure of the stratum corneum (SC) and the corresponding skin barrier develops from before birth up to about 4 years of age. Large subject-to-subject variability within an age group requires a large population to observe trends in skin barrier properties over time. Barrier function, quantified by transepidermal water loss (TEWL) and SC thickness, was measured on the upper inner arm and dorsal forearm in subjects aged 3 months to 4 years (n = 171) and a subset of mothers (n = 44). The rate of skin surface area expansion as a function of age peaked before birth (∼90 cm²/week) and declined to a steady plateau (∼10 cm²/week) by 1 year of age. SC thickness increased and TEWL decreased, but did not reach adult values until 3-4 years of age. A better understanding of how skin hydration changes after birth suggests that barrier function may be related mechanistically to skin surface area expansion.

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Section: Introductionmentioning

confidence: 99%

Developmental Changes in Skin Barrier and Structure during the First 5 Years of Life

Walters

Khanna

Chu

et al. 2016

Skin Pharmacol Physiol

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“…This site was chosen because it did not receive long-term sun exposure (less than the face [6], [7]) and was less stressed than the buttocks. Furthermore, the ventral forearm as the most commonly used skin site in dermatological research, was convenient to acquire skin surface images [8].…”

Section: Skin Image Acquisitionmentioning

confidence: 99%

Age Estimation Based on Skin Surface Images

He¹,

Li²,

Jiang³

et al. 2017

Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)

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Abstract. This paper presents a model of detection age which quantifies the appearance changes of human skin at different stages of aging without traditional skeleton. We provide a novel method to extract age-related primitive features from skin surface images obtained by a digital camera, including skin surface heterogeneity parameters of the standard deviation of gray (Std) and the information entropy (Entropy) of skin images, the skin surface texture variations parameters of the mean area of the grids (MA) and the number of intersections (NI). Skin surface images of 97 individuals have been analyzed by our image processing program. The results show that the four parameters were statistically correlated with age, indicating their potential for the routine evaluation of skin aging.

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“…Functional parameters like skin surface pH, stratum corneum hydration (SCH) or transepidermal water loss (TEWL) are for instance applied as markers of the status and integrity of the skin barrier [14]. During ageing skin surface pH may increase, whereas TEWL decreases [15] and structural assessments revealed rougher human skin [16, 17] and decreased biological elasticity [18]. Age-dependent changes have also been demonstrated for skin colour [19].…”

Section: Introductionmentioning

confidence: 99%

Characterizing Facial Skin Ageing in Humans: Disentangling Extrinsic from Intrinsic Biological Phenomena

Trojahn

Dobos

Lichterfeld

et al. 2015

BioMed Research International

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Facial skin ageing is caused by intrinsic and extrinsic mechanisms. Intrinsic ageing is highly related to chronological age. Age related skin changes can be measured using clinical and biophysical methods. The aim of this study was to evaluate whether and how clinical characteristics and biophysical parameters are associated with each other with and without adjustment for chronological age. Twenty-four female subjects of three age groups were enrolled. Clinical assessments (global facial skin ageing, wrinkling, and sagging), and biophysical measurements (roughness, colour, skin elasticity, and barrier function) were conducted at both upper cheeks. Pearson's correlations and linear regression models adjusted for age were calculated. Most of the measured parameters were correlated with chronological age (e.g., association with wrinkle score, r = 0.901) and with each other (e.g., residual skin deformation and wrinkle score, r = 0.606). After statistical adjustment for age, only few associations remained (e.g., mean roughness (R z) and luminance (L *), β = −0.507, R 2 = 0.377). Chronological age as surrogate marker for intrinsic ageing has the most important influence on most facial skin ageing signs. Changes in skin elasticity, wrinkling, sagging, and yellowness seem to be caused by additional extrinsic ageing.

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Relation between skin micro‐topography, roughness, and skin age

Abstract: The NCP/mm² is a reproducible parameter for characterizing the skin surface topography. It is proposed as an additional parameter in dermatological research and practice because it represents distinct aspects of the cutaneous profile not covered by established roughness parameters.

Cited by 56 publications

References 41 publications

Developmental Changes in Skin Barrier and Structure during the First 5 Years of Life

Developmental Changes in Skin Barrier and Structure during the First 5 Years of Life

Age Estimation Based on Skin Surface Images

Characterizing Facial Skin Ageing in Humans: Disentangling Extrinsic from Intrinsic Biological Phenomena

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