Investigating the morphology and genetics of scalp and facial hair characteristics for phenotype prediction

Kataria, Suraj; Dabas, Prashita; Saraswathy, K.N.; Sachdeva, M.P.; Jain, Sonal

doi:10.1016/j.scijus.2022.12.002

Cited by 5 publications

(2 citation statements)

References 177 publications

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“…We are only aware of one study that focused on studying the morphology of different body hairs in a male participant [ 52 ] and one that assessed cuticle scale morphometrics and showed differences based on gender and sampling region on the head, similar to our study [ 53 ]. Other reports have mostly focused on discriminating body hairs based on characteristic length, color, shape, root appearance and internal microscopic analysis of the medulla characteristics, cortical texture, thickness, and diameter, as well as pigment density and distribution [ 54 ]. Based on the results of this study, it is highly probable that cuticle scale margin morphology and cuticle scale layer differences between human body hairs may also present as an additional hair discriminatory feature besides hair chemical makeup, further supported by the fact that hair morphometry, e.g., hair shaft width in both animals and humans have been found to be greatly influenced by differential metabolic and nutritional states between individuals [ 51 ].…”

Section: Resultsmentioning

confidence: 99%

Multidimensional Profiling of Human Body Hairs Using Qualitative and Semi-Quantitative Approaches with SR-XRF, ATR-FTIR, DSC, and SEM-EDX

Cloete

Šmit

Gianoncelli

2023

IJMS

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This study aimed to assess the potential of a multidimensional approach to differentiate body hairs based on their physico-chemical properties and whether body hairs can replace the use of scalp hair in studies linked to forensic and systemic intoxication. This is the first case report controlling for confounding variables to explore the utility of multidimensional profiling of body hair using synchrotron synchrotron microbeam X-ray fluorescence (SR-XRF) for longitudinal and hair morphological region mapping) and benchtop methods, including attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) (complemented with chemometrics analysis), energy dispersive X-ray analysis (EDX) (complemented with heatmap analysis), differential scanning calorimetry (DSC), and scanning electron microscopy (SEM) analysis (complemented by descriptive statistics) to profile different body hairs in terms of their elemental, biochemical, thermal, and cuticle properties. This multidimensional approach provided supportive information to emphasize the intricate and rather complex interplay between the organization and levels of elements and biomolecules within the crystalline and amorphous matrix of different body hairs responsible for the differences in physico-chemical properties between body hairs that are predominantly affected by the growth rate, follicle or apocrine gland activity, and external factors such as cosmetic use and exposure to environmental xenobiotics. The data from this study may have important implications for forensic science, toxicology and systemic intoxication, or other studies involving hair as a research matrix.

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Section: Resultsmentioning

confidence: 99%

Multidimensional Profiling of Human Body Hairs Using Qualitative and Semi-Quantitative Approaches with SR-XRF, ATR-FTIR, DSC, and SEM-EDX

Cloete

Šmit

Gianoncelli

2023

IJMS

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“…Together with the phase of the hair growth cycle, seasonal effects will need to be considered, when investigating the variation of any and, namely, subtle properties for hair samples. These may include a wide range of differences in origin, environmental, and chemical conditions [29,[31][32][33][34][35], the changes of hair properties along its length [9,36], and differences and similarities of individual hairs in a forensic context [37].…”

Section: Discussionmentioning

confidence: 99%

A consumer cross‐over trial suggests that there are significant seasonal changes of the tensile properties (wet) of human hair

Wortmann,

Wortmann

2023

Intern J of Cosmetic Sci

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ObjectivesThrough the cooperation with an industrial partner, we gained a set of data for the tensile properties (wet) of human hair. The hair samples originated from a cross‐over study with two groups of individuals, using for a topical application sequentially two products (A and B). Each phase of the study lasted six months. The phases of the study were by chance covering first largely the winter and then the summer period. Initially, tensile variables were chosen, which not only reflect the mechanical properties of hair (modulus, break strain, break stress) but which are also considered to have a good connection to practice‐relevant hair properties. The initial analysis of the data showed that changes were observed for the variables due to the treatment phases. However, these were either small or difficult to interpret.MethodsAgainst this background and using Two‐Factor Analysis of Variance, we investigated the hypothesis that the tensile properties of hair (wet) may show significant seasonal changes. For this we chose those two independent variables, which reflect the properties of the intermediate filaments (modulus) and the matrix (break strain) in the composite structure of the hair cortex.ResultsThe results support the ‘seasonal’ hypothesis and clearly show that the variables show significant changes from Winter to Summer (modulus: 10% increase, break strain: 3% decrease). The seasonal effect was thus a major reason, why the first stage of the analysis of the data was inconclusive.ConclusionsThe tensile properties of the main morphological components of the cortex show distinct seasonal changes. Towards the summer the hair becomes stiffer and more brittle. Furthermore, the results suggest that seasonal effects may need to be taken into account when conducting studies on lengths of hair grown during different seasons.

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Human Hair Graying Revisited: Principles, Misconceptions, and Key Research Frontiers

Paus,

Sevilla,

Grichnik

2024

Journal of Investigative Dermatology

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Investigating the morphology and genetics of scalp and facial hair characteristics for phenotype prediction

Cited by 5 publications

References 177 publications

Multidimensional Profiling of Human Body Hairs Using Qualitative and Semi-Quantitative Approaches with SR-XRF, ATR-FTIR, DSC, and SEM-EDX

Multidimensional Profiling of Human Body Hairs Using Qualitative and Semi-Quantitative Approaches with SR-XRF, ATR-FTIR, DSC, and SEM-EDX

A consumer cross‐over trial suggests that there are significant seasonal changes of the tensile properties (wet) of human hair

Human Hair Graying Revisited: Principles, Misconceptions, and Key Research Frontiers

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