Joy N Hussain1, Nitin Mantri2, Marc M Cohen1. 1. School of Health and Biomedical Sciences, RMIT University, Bundoora, Vic. 3083. 2. Health Innovations Research Institute, School of Applied Sciences, RMIT University, Bundoora, Vic. 3083, Australia.
Abstract
INTRODUCTION: Human sweat is a complex biofluid of interest to diverse scientific fields. Metabolomics analysis of sweat promises to improve screening, diagnosis and self-monitoring of numerous conditions through new applications and greater personalisation of medical interventions. Before these applications can be fully developed, existing methods for the collection, handling, processing and storage of human sweat need to be revised. This review presents a cross-disciplinary overview of the origins, composition, physical characteristics and functional roles of human sweat, and explores the factors involved in standardising sweat collection for metabolomics analysis. METHODS: A literature review of human sweat analysis over the past 10 years (2006-2016) was performed to identify studies with metabolomics or similarly applicable 'omics' analysis. These studies were reviewed with attention to sweat induction and sampling techniques, timing of sweat collection, sweat storage conditions, laboratory derivation, processing and analytical platforms. RESULTS: Comparative analysis of 20 studies revealed numerous factors that can significantly impact the validity, reliability and reproducibility of sweat analysis including: anatomical site of sweat sampling, skin integrity and preparation; temperature and humidity at the sweat collection sites; timing and nature of sweat collection; metabolic quenching; transport and storage; qualitative and quantitative measurements of the skin microbiota at sweat collection sites; and individual variables such as diet, emotional state, metabolic conditions, pharmaceutical, recreational drug and supplement use. CONCLUSION: Further development of standard operating protocols for human sweat collection can open the way for sweat metabolomics to significantly add to our understanding of human physiology in health and disease.
INTRODUCTION:Human sweat is a complex biofluid of interest to diverse scientific fields. Metabolomics analysis of sweat promises to improve screening, diagnosis and self-monitoring of numerous conditions through new applications and greater personalisation of medical interventions. Before these applications can be fully developed, existing methods for the collection, handling, processing and storage of human sweat need to be revised. This review presents a cross-disciplinary overview of the origins, composition, physical characteristics and functional roles of human sweat, and explores the factors involved in standardising sweat collection for metabolomics analysis. METHODS: A literature review of human sweat analysis over the past 10 years (2006-2016) was performed to identify studies with metabolomics or similarly applicable 'omics' analysis. These studies were reviewed with attention to sweat induction and sampling techniques, timing of sweat collection, sweat storage conditions, laboratory derivation, processing and analytical platforms. RESULTS: Comparative analysis of 20 studies revealed numerous factors that can significantly impact the validity, reliability and reproducibility of sweat analysis including: anatomical site of sweat sampling, skin integrity and preparation; temperature and humidity at the sweat collection sites; timing and nature of sweat collection; metabolic quenching; transport and storage; qualitative and quantitative measurements of the skin microbiota at sweat collection sites; and individual variables such as diet, emotional state, metabolic conditions, pharmaceutical, recreational drug and supplement use. CONCLUSION: Further development of standard operating protocols for human sweat collection can open the way for sweat metabolomics to significantly add to our understanding of human physiology in health and disease.
Authors: Michelle M Raiszadeh; Mark M Ross; Paul S Russo; Mary Ann Schaepper; Weidong Zhou; Jianghong Deng; Daniel Ng; April Dickson; Cindy Dickson; Monica Strom; Carolina Osorio; Thomas Soeprono; Julia D Wulfkuhle; Emanuel F Petricoin; Lance A Liotta; Wolff M Kirsch Journal: J Proteome Res Date: 2012-02-27 Impact factor: 4.466
Authors: David S Wishart; Dan Tzur; Craig Knox; Roman Eisner; An Chi Guo; Nelson Young; Dean Cheng; Kevin Jewell; David Arndt; Summit Sawhney; Chris Fung; Lisa Nikolai; Mike Lewis; Marie-Aude Coutouly; Ian Forsythe; Peter Tang; Savita Shrivastava; Kevin Jeroncic; Paul Stothard; Godwin Amegbey; David Block; David D Hau; James Wagner; Jessica Miniaci; Melisa Clements; Mulu Gebremedhin; Natalie Guo; Ying Zhang; Gavin E Duggan; Glen D Macinnis; Alim M Weljie; Reza Dowlatabadi; Fiona Bamforth; Derrick Clive; Russ Greiner; Liang Li; Tom Marrie; Brian D Sykes; Hans J Vogel; Lori Querengesser Journal: Nucleic Acids Res Date: 2007-01 Impact factor: 16.971
Authors: Karan Agrawal; Justin D Waller; Theresa L Pedersen; John W Newman Journal: Prostaglandins Other Lipid Mediat Date: 2017-09-21 Impact factor: 3.072
Authors: Roozbeh Ghaffari; Da Som Yang; Joohee Kim; Amer Mansour; John A Wright; Jeffrey B Model; Donald E Wright; John A Rogers; Tyler R Ray Journal: ACS Sens Date: 2021-08-05 Impact factor: 9.618
Authors: Annemarijn S M Steijlen; Kaspar M B Jansen; Jeroen Bastemeijer; Paddy J French; Andre Bossche Journal: Anal Chem Date: 2022-04-29 Impact factor: 8.008