Update on autosomal recessive congenital ichthyosis: MRNA analysis using hair samples is a powerful tool for genetic diagnosis

Kazumitsu Sugiura, Masashi Akiyama

Research output: Contribution to journalReview article

13 Citations (Scopus)

Abstract

Research on the molecular genetics and pathomechanisms of autosomal recessive congenital ichthyosis (ARCI) has advanced considerably and several causative genes and molecules underlying the disease have been identified. Three major ARCI phenotypes are harlequin ichthyosis (HI), lamellar ichthyosis (LI), and congenital ichthyosiform erythroderma (CIE). Skin barrier defects are involved in the pathogenesis of ARCI. In this review, the causative genes of ARCI and its phenotypes as well as recent advances in the field are summarized. The known causative molecules underlying ARCI include ABCA12, TGM1, ALOXE3, ALOX12B, NIPAL4, CYP4F22, PNPLA1, CERS3, and LIPN. It is important to examine genetic associations and to elucidate the pathomechanisms of ARCI to establish effective therapies and beneficial genetic counseling. Next-generation sequencing is a promising method that enables the detection of causative disease mutations, even in cases of unexpected concomitant genetic diseases. For genetic diagnosis, obtaining mRNA from hair follicle epithelial cells, which are analogous to keratinocytes in the interfollicular epidermis, is convenient and minimally invasive in patients with ARCI. We confirmed that our mRNA analysis method using hair follicle samples can be applied not only to keratinization disorders, but also to other genetic diseases in the dermatology field. Studies that suggest potential next-generation therapies using ARCI model mice are also reviewed.

Original languageEnglish
Pages (from-to)4-9
Number of pages6
JournalJournal of Dermatological Science
Volume79
Issue number1
DOIs
Publication statusPublished - 01-01-2015
Externally publishedYes

Fingerprint

Ichthyosis
Hair
Genes
Lamellar Ichthyosis
Dermatology
Messenger RNA
Inborn Genetic Diseases
Molecules
Hair Follicle
Congenital Ichthyosiform Erythroderma
Skin
Phenotype
Recessive Genes
Defects
Genetic Counseling
Keratinocytes
Epidermis
Molecular Biology
Epithelial Cells
Mutation

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Biology
  • Dermatology

Cite this

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abstract = "Research on the molecular genetics and pathomechanisms of autosomal recessive congenital ichthyosis (ARCI) has advanced considerably and several causative genes and molecules underlying the disease have been identified. Three major ARCI phenotypes are harlequin ichthyosis (HI), lamellar ichthyosis (LI), and congenital ichthyosiform erythroderma (CIE). Skin barrier defects are involved in the pathogenesis of ARCI. In this review, the causative genes of ARCI and its phenotypes as well as recent advances in the field are summarized. The known causative molecules underlying ARCI include ABCA12, TGM1, ALOXE3, ALOX12B, NIPAL4, CYP4F22, PNPLA1, CERS3, and LIPN. It is important to examine genetic associations and to elucidate the pathomechanisms of ARCI to establish effective therapies and beneficial genetic counseling. Next-generation sequencing is a promising method that enables the detection of causative disease mutations, even in cases of unexpected concomitant genetic diseases. For genetic diagnosis, obtaining mRNA from hair follicle epithelial cells, which are analogous to keratinocytes in the interfollicular epidermis, is convenient and minimally invasive in patients with ARCI. We confirmed that our mRNA analysis method using hair follicle samples can be applied not only to keratinization disorders, but also to other genetic diseases in the dermatology field. Studies that suggest potential next-generation therapies using ARCI model mice are also reviewed.",
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Update on autosomal recessive congenital ichthyosis : MRNA analysis using hair samples is a powerful tool for genetic diagnosis. / Sugiura, Kazumitsu; Akiyama, Masashi.

In: Journal of Dermatological Science, Vol. 79, No. 1, 01.01.2015, p. 4-9.

Research output: Contribution to journalReview article

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