Integral characterization of normal and alopecic hair at different degeneration stages by in-situ visible and chemical imaging

https://doi.org/10.1016/j.saa.2020.118315Get rights and content

Highlights

  • ā€¢

    External laminated textures of hair revealed physical structures.

  • ā€¢

    Internal variation of lipids, phosphates, lipoproteins and phospholipids were characterized.

  • ā€¢

    Hair disorder of male pattern alopecia was revealed by infrared spectroscopic imaging combined with visible images.

Abstract

Direct exploration to differences between normal hair (NH) and alopecic hair (AH) at different degeneration stages is still lacking. To reveal compositional and structural variation of AH with reference to NH internally and externally, infrared spectroscopic imaging combined with scanning electron microscopy was applied to investigate integral changes of hair chemical profiles and surface texture structures, and infrared macro-fingerprinting analysis revealed detailed chemical compositions of NH and AH. Results showed that AH had excessive irregular laminated structures compared to NH, leading to a lower weight bearing capacity. Spatial distributions of lipids, phosphates, lipoproteins and phospholipids in hair transverse sections showed that their infrared absorptions were intensified and gradually centralized to medulla with average variable-areas increasing upto 2.3 folds (lipoproteins area changed from 13% in NH to 30% in AH)as the alopecia progressed. Extracted pixel spectra from the chemical images showed different fingerprint characteristics in 1075ā€“1120Ā cmāˆ’1. Specifically, compared to NH, AH showed red shift of phosphate peaks, indicating the occurrence of phosphates transformation. In this study, in-situ visible and infrared chemical imaging directly revealed more irregular laminated scalps with decreasing weight bearing capacity and increasing distributive areas expanding to medulla of key components (phosphates, phospholipids, etc.) that were relevant to alopecia development from NH to AH, and offered a fast, eco-friendly and effective method for hair research.

Introduction

Normal human hair usually remains a certain amount of quantity in dynamic balanced cycles from loss of old hair in telogen to growth of newly regrown hair in anagen. Hair fibers can be generally divided into three main structure units: cuticle, cortex and medulla, in them consisting of proteins, lipids, water and so on [1]. Integrity of hair, including various chemical components, distinct main structures and relatively stable quantity, is of great importance to human for scalp protection and also a signal of physiological wellness. However, hair loss, especially male-pattern alopecia, is presenting a global prevalence. According to the new reports released by WHO (World Health Organization) in 2019, the incidence of alopecia among Chinese men is approximately 20% and shows younger trend [2].

Both morphology and chemical property of hair are vulnerable to physiological and pathological factors [[3], [4], [5], [6], [7], [8], [9], [10], [11], [12]]. Patients with alopecic hair (AH) in different pathological stages have different hair conditions, and it has been proved over the world that diverse causes such as aging, malnutrition, hormonal regulation, pathogens infection and congenital disease can lead to hair loss disorders [13]. Alopecia has been studied in physiology and medical science perspectives [[14], [15], [16], [17], [18], [19], [20]]and the alopecia mechanism has been revealed in different degrees [21,22]. Prior studies noted the effect of androgen to hair that androgen-regulated factors deriving from dermal papilla cells were believed to influence growth of other components of the hair follicle [20,23,24]. Some studies involved people who suffered from cancers to investigate the relationship between hair loss and diseases [25,26]. Nevertheless, targeted analysis to AH is rarely conducted. Therefore, it would be essential to simultaneously reveal the morphological and chemical differences between NH and AH and thus to impel a more comprehensive and exact AH mechanism investigation.

Infrared spectroscopic imaging, obtaining generalized vibrational spectral images by collecting hundreds of pixel spectra simultaneously, can integrally and directly reveal chemical information and spatial distribution of various components in food, chemical materials and biological tissues in microscale. Applications of infrared spectroscopic imaging cover various realms, especially in biological and material fields. It had been reported that healthy articular cartilages and osteoarthritic articular cartilages of mature dogs were distinguished by analysis of infrared spectroscopic imaging combining with support vector machine discriminant analysis [27]. Carbohydrate excipients improperly added in formula granules was recognized spatially by infrared spectroscopic imaging, revealing authenticity of commercial formula granules directly and rapidly [28]. Impurities in pure surimi were successfully recognized with extracted spectra and principal component analysis of infrared spectroscopic imaging [29,30]. Spatial distributions of primary compounds in areca nut section were obtained to analyze cancerogens which could lead to cancers in mouth and esophagus [31]. Furthermore, a recent clinical diagnosis showed prediction of epileptic seizures with positive predictive value of 100% based on infrared spectroscopy outperformed the traditional analysis of electroencephalography, offering an effective and novel detection method for human wellness [32]. Hence, infrared spectroscopic imaging and infrared spectroscopy have become a powerful tool for bio-tissue investigation.

In this study, infrared spectroscopic imaging and scanning electron microscope (SEM) were employed to comprehensively obtain external and internal properties of hair from normal and alopecic persons, aiming to reveal integral changes of AH related to chemical components distribution and surface morphology as alopecia progressed. This study would also offer a fast, eco-friendly and effective method for hair research.

Section snippets

Participants and apparatus

Volunteers of 5 male pattern alopecia were recruited from the hospital of SIMSON HAIR TRANSPLANT, and 5 normal persons were recruited from society and universities. All volunteers were males and their ages ranged from 25 to 40. Hair of alopecic persons (PAH) had the characteristic of obvious baldness accounting for at least 30% of hair-growth area on head, while hair of normal persons (PNH) had healthy hair conditions without any hairline recession (Fig. 1). Twenty hairs were sampled in vertex

Visible images

Visible images (Fig. 2) of surface texture of NH and AH were obtained at the magnification of 1000Ɨ and 2000Ɨ. It can be seen obviously that sampling areas from NH at the magnification of 2000Ɨ (image area is 3002Ā Ī¼m2) show compact and orderly hair scales with 7ā€“9 laminated structures, while AH show rough, unconsolidated and cracked hair scales with 9ā€“11 laminated structures at the same magnification.

Spectra extracted in ATR-IR images

Fig. 3 is ATR-IR (attenuated total reflection infrared) microspectroscopic images and the

Visible characterization

Vertical photographs of volunteers were obtained during sampling hairs from scalps. Fig. 1 shows three random selections from PNH and PAH. PNH have no hairline recession along the anterior border in the frontotemporal region, which means that no hair loss has occurred. PAH have sparse hair on the vertex and their hairline resembles the letter M. Hairlines of PAH had receded back to a point between the limit of coronal plane and the level of the external auditory meatus, and the two areas of

CRediT authorship contribution statement

Shi-Wei Hou: Conceptualization, Methodology, Writing - original draft. Si-Yu He: Methodology, Formal analysis, Validation. Jun Xie:Methodology. Ming-You Li: Resources. Miao-Si Hong: Resources. Fu-Lan Guan: Investigation. Yu-Ling Hu: Resources. Yan-Li Huang: Resources. Chang-Hua Xu: Supervision, Writing - review & editing.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was supported by Shanghai Pujiang Program (18PJ1432600), the National Key Research and Development Program of China (2016YFD0401501), and the Young and middle-aged talents cultivation project of food science and engineering plateau discipline of Shanghai Ocean University (A1-3203-19-100610).

References (59)

  • D.J. Tobin et al.

    Plasticity and cytokinetic dynamics of the hair follicle mesenchyme: implications for hair growth control

    J. Investig. Dermatol.

    (2003)
  • N. Fujioka et al.

    Discrimination between normal and malignant human gastric tissues by Fourier transform infrared spectroscopy

    Cancer Detect. Prev.

    (2004)
  • X. Wang et al.

    Fourier transform infrared spectroscopic imaging application for multi-stage discrimination in cartilage degeneration

    Infrared Phys. Technol.

    (2018)
  • S.-W. Hou et al.

    Integrated recognition and quantitative detection of starch in surimi by infrared spectroscopy and spectroscopic imaging

    Spectrochim. Acta A Mol. Biomol. Spectrosc.

    (2019)
  • W. Wei et al.

    Enhanced chemical and spatial recognition of fish bones in surimi by tri-step infrared spectroscopy and infrared microspectroscopic imaging

    Spectrochim. Acta A Mol. Biomol. Spectrosc.

    (2018)
  • J.B. Chen et al.

    Chemical morphology of Areca nut characterized directly by Fourier transform near-infrared and mid-infrared microspectroscopic imaging in reflection modes

    Food Chem.

    (2016)
  • N. Fujioka et al.

    Discrimination between normal and malignant human gastric tissues by Fourier transform infrared spectroscopy

    Cancer Detect. Prev.

    (2004)
  • C. Paluszkiewicz et al.

    Analysis of human cancer prostate tissues using FTIR microspectroscopy and SRIXE techniques

    J. Mol. Struct.

    (2001)
  • T. Richter et al.

    Identification of tumor tissue by FTIR spectroscopy in combination with positron emission tomography

    Vib. Spectrosc.

    (2002)
  • G.I. Dovbeshko et al.

    FTIR spectroscopy studies of nucleic acid damage

    Talanta

    (2000)
  • W.-S. Lee et al.

    A new classification of pattern hair loss that is universal for men and women: basic and specific (BASP) classification

    J. Am. Acad. Dermatol.

    (2007)
  • The Hair Fibre: Proteins, Structure and Development, Advances in Experimental Medicine and Biology, Lincoln, New Zealand

    (2017)
  • H.H. Lee et al.

    Epidemiology of alopecia areata, ophiasis, totalis and universalis: a systematic review and meta-analysis

    J. Am. Acad. Dermatol.

    (2019)
  • S. Nagase et al.

    Changes in structure and geometric properties of human hair by aging

    J. Cosmet. Sci.

    (2009)
  • T. Takahashi et al.

    Age-dependent changes in damage processes of hair cuticle

    J. Cosmet. Dermatol.

    (2015)
  • M. Courtois et al.

    Aging and hair cycles

    Br. J. Dermatol.

    (1995)
  • K.S. Kim et al.

    Analysis of aging effects on chemical property of human hair by Fourier transform infrared spectroscopy

    Skin Res. Technol.

    (2013)
  • S.M. Han et al.

    Synchrotron nanoscopy imaging study of scalp hair in breast cancer patients and healthy individuals: difference in medulla loss and cortical membrane enhancements

    Microsc. Res. Tech.

    (2016)
  • A. Adil et al.

    The effectiveness of treatments for androgenetic alopecia: a systematic review and meta-analysis

    J. Am. Acad. Dermatol.

    (2017)
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