Proteomic profiling of eccrine sweat reveals its potential as a diagnostic biofluid for active tuberculosis

PROTEOMICS – Clinical ApplicationsVolume 10, Issue 5 p. 547-553 Dataset Brief Proteomic profiling of eccrine sweat reveals its potential as a diagnostic biofluid for active tuberculosis Olanisun Olufemi Adewole, Corresponding Author Olanisun Olufemi Adewole Department of Medicine, Obafemi Awolowo University/Teaching Hospital, Ile Ife, Nigeria Correspondence: Dr. Olanisun Olufemi Adewole, Department of Medicine, Obafemi Awolowo University/Teaching Hospital, Ile Ife, Nigeria E-mail: adewolef@yahoo.co.ukSearch for more papers by this authorGreg Efosa Erhabor, Greg Efosa Erhabor Department of Medicine, Obafemi Awolowo University/Teaching Hospital, Ile Ife, NigeriaSearch for more papers by this authorTemitayo Oluwatoyin Adewole, Temitayo Oluwatoyin Adewole Department of Medicine, Obafemi Awolowo University/Teaching Hospital, Ile Ife, NigeriaSearch for more papers by this authorAbiodun Oluwasesan Ojo, Abiodun Oluwasesan Ojo Department of Microbiology, Obafemi Awolowo University, Ile Ife, NigeriaSearch for more papers by this authorHarriet Oshokoya, Harriet Oshokoya Department of Microbiology, Obafemi Awolowo University, Ile Ife, NigeriaSearch for more papers by this authorLisa M. Wolfe, Lisa M. Wolfe Proteomics and Metabolomics Facility, Colorado State University, Fort Collins, CO, USASearch for more papers by this authorJessica E. Prenni, Jessica E. Prenni Proteomics and Metabolomics Facility, Colorado State University, Fort Collins, CO, USASearch for more papers by this author Olanisun Olufemi Adewole, Corresponding Author Olanisun Olufemi Adewole Department of Medicine, Obafemi Awolowo University/Teaching Hospital, Ile Ife, Nigeria Correspondence: Dr. Olanisun Olufemi Adewole, Department of Medicine, Obafemi Awolowo University/Teaching Hospital, Ile Ife, Nigeria E-mail: adewolef@yahoo.co.ukSearch for more papers by this authorGreg Efosa Erhabor, Greg Efosa Erhabor Department of Medicine, Obafemi Awolowo University/Teaching Hospital, Ile Ife, NigeriaSearch for more papers by this authorTemitayo Oluwatoyin Adewole, Temitayo Oluwatoyin Adewole Department of Medicine, Obafemi Awolowo University/Teaching Hospital, Ile Ife, NigeriaSearch for more papers by this authorAbiodun Oluwasesan Ojo, Abiodun Oluwasesan Ojo Department of Microbiology, Obafemi Awolowo University, Ile Ife, NigeriaSearch for more papers by this authorHarriet Oshokoya, Harriet Oshokoya Department of Microbiology, Obafemi Awolowo University, Ile Ife, NigeriaSearch for more papers by this authorLisa M. Wolfe, Lisa M. Wolfe Proteomics and Metabolomics Facility, Colorado State University, Fort Collins, CO, USASearch for more papers by this authorJessica E. Prenni, Jessica E. Prenni Proteomics and Metabolomics Facility, Colorado State University, Fort Collins, CO, USASearch for more papers by this author First published: 07 March 2016 https://doi.org/10.1002/prca.201500071Citations: 30Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Purpose Excessive sweating is a common symptom of the disease and an unexplored biofluid for TB diagnosis; we conducted a proof-of-concept study to identify potential diagnostic biomarkers of active TB in eccrine sweat. Experimental design We performed a global proteomic profile of eccrine sweat sampled from patients with active pulmonary TB, other lung diseases (non-TB disease), and healthy controls. A comparison of proteomics between Active-TB, Non-TB, and Healthy Controls was done in search for potential biomarkers of active TB. Results Sweat specimens were pooled from 32 active TB patients, 27 patients with non-TB diseases, and 24 apparently healthy controls, all were negative for HIV. Over 100 unique proteins were identified in the eccrine sweat of all three groups. Twenty-six proteins were exclusively detected in the sweat of patients with active TB while the remaining detected proteins overlapped between three groups. Gene ontology evaluation indicated that the proteins detected uniquely in sweat of active TB patients were involved in immune response and auxiliary protein transport. Gene products for cellular components (e.g. ribosomes) were detected only in active TB patients. Data are available via ProteomeXchange with identifier PXD003224. Conclusions and clinical relevance Proteomics of sweat from active TB patients is a viable approach for biomarker identification, which could be used to develop a nonsputum-based test for detection of active TB. Citing Literature Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Filename Description prca1745-sup-0001-figure1-3.docx405.7 KB Supplementary Figure 1. Gene ontology analysis for molecular function of proteins identified in sweat across the three sample groups: Active TB (red), Other Lung Disease (green) and Healthy Control (blue). Supplementary Figure 2. Gene ontology analysis for biological processes of proteins identified in sweat across the three sample groups: Active TB (red), Other Lung Disease (green) and Healthy Control (blue). Supplementary Figure 3. Gene ontology analysis for cellular component of proteins identified in sweat across the three sample groups: Active TB (red), Other Lung Disease (green) and Healthy Control (blue). prca1745-sup-0002-table1.xlsx19.7 KB Supplementary Table 1. Summary of pooled samples analyzed in proteomics experiments prca1745-sup-0003-table2.xlsx19.4 KB Supplementary Table 2. All identified proteins across the three sample groups Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. Volume10, Issue5May 2016Pages 547-553 RelatedInformation