Towards Best Practice in Hair Metabolomic Studies: Systematic Investigation on the Impact of Hair Length and Color

Eisenbeiss, Lisa; Binz, Tina M.; Baumgartner, Markus R.; Kræmer, Thomas; Steuer, Andrea E.

doi:10.3390/metabo10100381

Cited by 11 publications

(8 citation statements)

References 24 publications

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“…An established and optimized procedure described in a previous study was performed to extract metabolites contained in the hair. The previous studies indicated that the use of hair color and segments and its cosmetic treatment were important factors for it as a biospecimen for biomarker discovery by a metabolomics approach. , To avoid the confounding factors from the color and length of hair for comparative study, we selected the black hair and 3 cm segment of hair for biomarker discovery. The hair extracts were analyzed by UHPLC-HRMS with DDA, full scan, and AIF, and the raw data were further processed with MS-DIAL software, which performed peak detection and peak alignment.…”

Section: Methodsmentioning

confidence: 99%

Identifying Hair Biomarker Candidates for Alzheimer’s Disease Using Three High Resolution Mass Spectrometry-Based Untargeted Metabolomics Strategies

Chang

Hsu

Hsiao

et al. 2023

J. Am. Soc. Mass Spectrom.

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High-resolution mass spectrometry (HRMS)-based untargeted metabolomics strategies have emerged as an effective tool for discovering biomarkers of Alzheimer's disease (AD). There are various HRMS-based untargeted metabolomics strategies for biomarker discovery, including the data-dependent acquisition (DDA) method, the combination of full scan and target MS/MS, and the all ion fragmentation (AIF) method. Hair has emerged as a potential biospecimen for biomarker discovery in clinical research since it might reflect the circulating metabolic profiles over several months, while the analytical performances of the different data acquisition methods for hair biomarker discovery have been rarely investigated. Here, the analytical performances of three data acquisition methods in HRMS-based untargeted metabolomics for hair biomarker discovery were evaluated. The human hair samples from AD patients (N = 23) and cognitively normal individuals (N = 23) were used as an example. The most significant number of discriminatory features was acquired using the full scan (407), which is approximately 10-fold higher than that using the DDA strategy (41) and 11% higher than that using the AIF strategy (366). Only 66% of discriminatory chemicals discovered in the DDA strategy were discriminatory features in the full scan dataset. Moreover, compared to the deconvoluted MS/MS spectra with coeluted and background ions from the AIF method, the MS/MS spectrum obtained from the targeted MS/MS approach is cleaner and purer. Therefore, an untargeted metabolomics strategy combining the full scan with the targeted MS/MS method could obtain most discriminatory features along with a high quality MS/MS spectrum for discovering the AD biomarkers.

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Section: Methodsmentioning

confidence: 99%

Identifying Hair Biomarker Candidates for Alzheimer’s Disease Using Three High Resolution Mass Spectrometry-Based Untargeted Metabolomics Strategies

Chang

Hsu

Hsiao

et al. 2023

J. Am. Soc. Mass Spectrom.

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“…Recent progress in hair testing highlights the growing applicability of metabolomics to forensic testing. [116][117][118][119] Heroin and amphetamine-type substances are potentially the most well-known drugs in the wider community and therefore are a focus for forensic toxicology due to their recreational use. Potential heroin biomarkers were investigated in human plasma from 50 participants (20 heroin addicts with acute abstinence, 15 with prolonged abstinence and 15 controls) by Zhou et al using ultraperformance LC-MS/MS.…”

Section: Forensic Toxicologymentioning

confidence: 99%

“…Hair testing is another method suggested for extending the window of detection due to the incorporation of drugs into this matrix. Recent progress in hair testing highlights the growing applicability of metabolomics to forensic testing 116–119 …”

Section: Applicationsmentioning

confidence: 99%

Metabolomics in clinical and forensic toxicology, sports anti‐doping and veterinary residues

Keen

Cawley

Reedy

et al. 2022

Drug Testing and Analysis

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Metabolomics is a multidisciplinary field providing workflows for complementary approaches to conventional analytical determinations. It allows for the study of metabolically related groups of compounds or even the study of novel pathways within the biological system. The procedural stages of metabolomics; experimental design, sample preparation, analytical determinations, data processing and statistical analysis, compound identification and validation strategies are explored in this review. The selected approach will depend on the type of study being conducted. Experimental design influences the whole metabolomics workflow and thus needs to be properly assessed to ensure sufficient sample size, minimal introduced and biological variation and appropriate statistical power. Sample preparation needs to be simple, yet potentially global in order to detect as many compounds as possible. Analytical determinations need to be optimised either for the list of targeted compounds or a universal approach. Data processing and statistical analysis approaches vary widely and need to be better harmonised for review and interpretation. This includes validation strategies that are currently deficient in many presented workflows. Common compound identification approaches have been explored in this review. Metabolomics applications are discussed for clinical and forensic toxicology, human and equine sports anti‐doping and veterinary residues.

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“…The products used for bleaching, perming, dyeing or relaxation contain strong bases, which may affect the stability or the amount of drug present in the hair matrix. These treatments, associated with continuous exposure to natural factors such as sunlight, weather and pollution can contribute to increase the damage in the hair cuticle [64]. In particular, photodegradation of drugs through the formation of free radicals or photosensitization reactions by intermolecular energy transfer can occur when the hair is exposed to sunlight or artificial light for many hours per day [65].…”

Section: Hairmentioning

confidence: 99%

Alternative matrices in forensic toxicology: a critical review

et al. 2021

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Purpose The use of alternative matrices in toxicological analyses has been on the rise in clinical and forensic settings. Specimens alternative to blood and urine are useful in providing additional information regarding drug exposure and analytical benefits. The goal of this paper is to present a critical review on the most recent literature regarding the application of six common alternative matrices, i.e., oral fluid, hair, sweat, meconium, breast milk and vitreous humor in forensic toxicology. Methods The recent literature have been searched and reviewed for the characteristics, advantages and limitations of oral fluid, hair, sweat, meconium, breast milk and vitreous humor and its applications in the analysis of traditional drugs of abuse and novel psychoactive substances (NPS). Results This paper outlines the properties of six biological matrices that have been used in forensic analyses, as alternatives to whole blood and urine specimens. Each of this matrix has benefits in regards to sampling, extraction, detection window, typical drug levels and other aspects. However, theses matrices have also limitations such as limited incorporation of drugs (according to physical–chemical properties), impossibility to correlate the concentrations for effects, low levels of xenobiotics and ultimately the need for more sensitive analysis. For more traditional drugs of abuse (e.g., cocaine and amphetamines), there are already data available on the detection in alternative matrices. However, data on the determination of emerging drugs such as the NPS in alternative biological matrices are more limited. Conclusions Alternative biological fluids are important specimens in forensic toxicology. These matrices have been increasingly reported over the years, and this dynamic will probably continue in the future, especially considering their inherent advantages and the possibility to be used when blood or urine are unavailable. However, one should be aware that these matrices have limitations and particular properties, and the findings obtained from the analysis of these specimens may vary according to the type of matrix. As a potential perspective in forensic toxicology, the topic of alternative matrices will be continuously explored, especially emphasizing NPS.

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Towards Best Practice in Hair Metabolomic Studies: Systematic Investigation on the Impact of Hair Length and Color

Cited by 11 publications

References 24 publications

Identifying Hair Biomarker Candidates for Alzheimer’s Disease Using Three High Resolution Mass Spectrometry-Based Untargeted Metabolomics Strategies

Identifying Hair Biomarker Candidates for Alzheimer’s Disease Using Three High Resolution Mass Spectrometry-Based Untargeted Metabolomics Strategies

Metabolomics in clinical and forensic toxicology, sports anti‐doping and veterinary residues

Alternative matrices in forensic toxicology: a critical review

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