No difference in the proteome of racially and geometrically classified scalp hair sample from a South African cohort: Preliminary findings.

J Proteomics

Hair and Skin Research Laboratory, Division of Dermatology, Department of Medicine, Faculty of Health Sciences and Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa.

Published: August 2020

Differences in the physiological proteome of men of different racial origin is poorly researched, albeit hair is mostly composed of keratins and keratin-associated proteins. Hence, we have carried out label-free, shotgun proteomics analysis on hair samples collected from black African, Caucasian, Asian, and Mixed-Ancestry donors within a heterogeneous population of the Western Cape of South Africa. Further, the same hair was also classified using geometrical measurements. Using both qualitative and quantitative proteomics bioinformatics pipelines, we identified over 450 protein groups (FDR = 0.01). Identified protein classes included keratins, keratin-associated proteins, histone proteins and desmosomes, inter alia. No protein by quantitative proteomic analyses significantly differentiated racial or geometric groups in our cohort. Functional pathway analysis of top-ranking proteins showed enrichment for skin, epidermal and tissue development, as well as intermediate-filament organization. Racial classification is a social construct, and attributing differences in a biologic endpoint to it is both imprecise and valueless in the era of precision medicine. Nonetheless, clarity on the physiological hair proteome could serve as a foundation for using hair proteomics for disease biomarker and targeted therapy identification for precision medicine. For the first time, we established the physiological hair proteome of individuals in a culturally diverse cohort from Africa. SIGNIFICANCE: For the first time we have been able to characterize the physiological human hair proteome in a culturally diverse South African cohort. We have also identified that proteomics differences were not observed in individual hair samples using our quantitative proteomics bioinformatics pipeline. This outcome supports a widely known notion that DNA sequence comparison often shows that people on each continent are not more genetically similar to one another than to people who come from other continents and that there is more genetic variation in Africa. Hence, adaptive traits such as hair and skin phenotype are not scientifically valid distinctions. Racial classification is believed to be a social construct, and attributing differences in a biologic endpoint to it is both imprecise and valueless in the era of precision medicine. Our preliminary finding would serve as a much-needed foundation for establishing a well-annotated, customized hair proteomics repository for Africans.

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Source
http://dx.doi.org/10.1016/j.jprot.2020.103892DOI Listing

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