ReviewThe Clinical biochemist. Reviews2017
Working Up a Good Sweat - The Challenges of Standardising Sweat Collection for Metabolomics Analysis.
Review in The Clinical biochemist. Reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Metabolic Signature of Cardiorespiratory Fitness: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2022Pooled it
- A Detoxification Intervention for Gulf War Illness: A Pilot Randomized Controlled Trial.International journal of environmental research and public health · 2019Trial
- Advances and Challenges in Wearable Sensors for Health Monitoring.ACS applied materials & interfaces · 2026Review
- Sweat as a diagnostic biofluid: analytical advances and future directions.Journal of pharmaceutical analysis · 2026Review
- Detection of Injury Biomarkers in Sweat of Collegiate Athletes Pre- and Post-Football Season: A Pilot Study.Neurotrauma reports · 2025Article
- Organoids/organs-on-chips towards biomimetic human artificial skin.Burns & trauma · 2025Review
- Article
- A comparative study of passive drug diffusion through human skin via intercellular and sweat duct route: effect of aging.Drug delivery and translational research · 2024Article
- The challenges and promise of sweat sensing.Nature biotechnology · 2024Review
- Longitudinal assessment of sweat-based TNF-alpha in inflammatory bowel disease using a wearable device.Scientific reports · 2024Article
- Critical Factors in Sample Collection and Preparation for Clinical Metabolomics of Underexplored Biological Specimens.Metabolites · 2024Review
- Novel Sweat-Based Wearable Device for Advanced Monitoring of Athletic Physiological Biometrics.Sensors (Basel, Switzerland) · 2023Article
- Recent Advances in Skin-Interfaced Wearable Sweat Sensors: Opportunities for Equitable Personalized Medicine and Global Health Diagnostics.ACS sensors · 2023Review
- Skin-Interfaced Wearable Sweat Sensors for Precision Medicine.Chemical reviews · 2023Review
- Multiomic Approaches for Cancer Biomarker Discovery in Liquid Biopsies: Advances and Challenges.Biomarker insights · 2023Review
- Probabilistic quotient's work and pharmacokinetics' contribution: countering size effect in metabolic time series measurements.BMC bioinformatics · 2022Article
- Low-Cost Wearable Fluidic Sweat Collection Patch for Continuous Analyte Monitoring and Offline Analysis.Analytical chemistry · 2022Article
- Excretion of Ni, Pb, Cu, As, and Hg in Sweat under Two Sweating Conditions.International journal of environmental research and public health · 2022Article
- Wearable Sweat Loss Measuring Devices: From the Role of Sweat Loss to Advanced Mechanisms and Designs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- Alternative matrices in forensic toxicology: a critical review.Forensic toxicology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionHuman 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.
methodsA 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.
resultsComparative 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.
conclusionFurther 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.
Identifiers
28798503PMC5548369What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.