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Sequential trypsin and ProAlanase digestions unearth immunological protein biomarkers shrouded by skeletal collagen.

Authors :
Wilkin S
Lanigan LT
Montes N
Sharma M
Avanzi C
Sejdiu D
Majander K
Pfrengle S
Chiang Y
Kunz L
Dittmann A
Rühli F
Singh P
Coll MF
Collins MJ
Taurozzi AJ
Schuenemann VJ
Source :
IScience [iScience] 2024 Apr 03; Vol. 27 (5), pp. 109663. Date of Electronic Publication: 2024 Apr 03 (Print Publication: 2024).
Publication Year :
2024

Abstract

This study investigates the efficacy of proteomic analysis of human remains to identify active infections in the past through the detection of pathogens and the host response to infection. We advance leprosy as a case study due to the sequestering of sufferers in leprosaria and the suggestive skeletal lesions that can result from the disease. Here we present a sequential enzyme extraction protocol, using trypsin followed by ProAlanase, to reduce the abundance of collagen peptides and in so doing increase the detection of non-collagenous proteins. Through our study of five individuals from an 11th to 18th century leprosarium, as well as four from a contemporaneous non-leprosy associated cemetery in Barcelona, we show that samples from 2 out of 5 leprosarium individuals extracted with the sequential digestion methodology contain numerous host immune proteins associated with modern leprosy. In contrast, individuals from the non-leprosy associated cemetery and all samples extracted with a trypsin-only protocol did not. Through this study, we advance a palaeoproteomic methodology to gain insights into the health of archaeological individuals and take a step toward a proteomics-based method to study immune responses in past populations.<br />Competing Interests: We have no conflicting interest to declare.<br /> (© 2024 Published by Elsevier Inc.)

Details

Language :
English
ISSN :
2589-0042
Volume :
27
Issue :
5
Database :
MEDLINE
Journal :
IScience
Publication Type :
Academic Journal
Accession number :
38655200
Full Text :
https://doi.org/10.1016/j.isci.2024.109663