Human Head Hair Research Articles

Differentiation and classification of human head hair via spectroscopic analysis, data fusion, and neural networks

BackgroundAttenuated Total Reflectance – Fourier Transform Infrared (ATR-FTIR) spectroscopy and UV–visible microspectrophotometry (MSP) are common in forensic labs. These form a non-destructive method to classify hairs from different individuals using chemometrics. ResultsHair samples were collected from 14 individuals and analyzed. High-level data fusion and neural networks exhibited 100% classification accuracy. SignificanceThe forensic analysis of hair currently involves microscopic and genetic analysis. However, chemical techniques and machine learning can successfully classify hair.

Recent Trends in MALDI-MS Drugs Analysis in Human Hair: Pre-Analytical and Analytical Challenges and Pitfalls.

The value of hair in forensic toxicology has already been widely demonstrated. It offers a much wider detection window than other matrices, and its segmental analysis allows the documentation of a single, occasional or regular consumption of a large number of molecules. To date, considerable efforts are being made to achieve very high sensitivity using increasingly effective techniques in the forensic analysis of hair (gas chromatography with electron ionization mass spectrometry (GC--EI-MS); gas chromatography with chemical ionization mass spectrometry (GC--CI-MS); gas chromatography-tandem mass spectrometry (GC--MS-MS); high or ultra performance liquid chromatography-tandem mass spectrometry (HPLC-MS-MS and UPLC-MS-MS)). Since the early 2000s, work has been carried out to analyze hair using matrix-assisted laser desorption ionization (MALDI) coupled with imaging mass spectrometry (IMS). Intact, cut or pulverized, human head hairs are analyzed in all their forms. With a simplified and rapid sample preparation protocol, MALDI-IMS appears to be an attractive option for the forensic interpretation of hair analysis. The high spatial resolution clearly competes with conventional methods and strand segmentation. This article provides a complete overview on MALDI techniques used and its applications to better understand the pre-analytical and the analytical parts in the hair analysis.

Assessing Single-Source Reproducibility of Human Head Hair Peptide Profiling from Different Regions of the Scalp

Neither microscopical hair comparisons nor mitochondrial DNA sequencing alone, or together, constitutes a basis for personal identification. Due to these limitations, a complementary technique to compare questioned and known hair shafts was investigated. Recently, scientists from Lawrence Livermore National Laboratory's Forensic Science Center and other collaborators developed a peptide profiling technique, which can infer non-synonymous single nucleotide polymorphisms (SNPs) preserved in hair shaft proteins as single amino acid polymorphisms (SAPs). In this study, peptide profiling was evaluated to determine if it can meet forensic expectations when samples are in limited quantities with the possibility that hair samples collected from different areas of a single donor’s scalp (i.e., single source) might not exhibit the same SAP profile. The average dissimilarity, percent differences in SAP profiles within each source, ranged from 0% difference to 29%. This pilot study suggests that more work is needed before peptide profiling of hair can be considered for forensic comparisons.

Microscopical discrimination of human head hairs sharing a mitochondrial haplogroup.

In forensic analyses, determining the level of consensus among examiners for hair comparison conclusions and ancestry identifications is important for assessing the scientific validity of microscopical hair examinations. Here, we present data from an interlaboratory study on the accuracy of microscopical hair comparisons among a subset of experienced hair examiners currently analyzing hair in forensic laboratories across the United States. We examined how well microscopical analysis of hair can reliably be used to differentiate hair samples, many of which were macroscopically similar. Using cut hair samples, many sharing similar macroscopic and microscopic features, collected from individuals who share the same mitochondrial haplogroup as an indication of genetic relatedness, we tested multiple aspects that could impact hair comparisons. This research tested the extent to which morphological features related to ancestry and hair length influence conclusions. Microscopical hair examinations yielded accurate assessments of inclusion/exclusion relative to the reference samples among 85% of the pairwise comparisons. We found shorter hairs had reduced levels of accuracy and hairs from populations examiners were not familiar with may have impacted their ability to resolve features. The reliability of ancestry determinations is not yet clear, but we found indications that the existing categories are only somewhat related to current ethnic and genetic variation. Our results provide support for the continued utility of microscopical comparison of hairs within forensic laboratories and to advocate for a combined analytical approach using both microscopical analysis and mtDNA data on all forensic analyses of hair.

Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data

BackgroundGreying of the hair is an obvious sign of human aging. In addition to age, sex- and ancestry-specific patterns of hair greying are also observed and the progression of greying may be affected by environmental factors. However, little is known about the genetic control of this process. This study aimed to assess the potential of genetic data to predict hair greying in a population of nearly 1000 individuals from Poland.ResultsThe study involved whole-exome sequencing followed by targeted analysis of 378 exome-wide and literature-based selected SNPs. For the selection of predictors, the minimum redundancy maximum relevance (mRMRe) method was used, and then two prediction models were developed. The models included age, sex and 13 unique SNPs. Two SNPs of the highest mRMRe score included whole-exome identified KIF1A rs59733750 and previously linked with hair loss FGF5 rs7680591. The model for greying vs. no greying prediction achieved accuracy of cross-validated AUC = 0.873. In the 3-grade classification cross-validated AUC equalled 0.864 for no greying, 0.791 for mild greying and 0.875 for severe greying. Although these values present fairly accurate prediction, most of the prediction information was brought by age alone. Genetic variants explained < 10% of hair greying variation and the impact of particular SNPs on prediction accuracy was found to be small.ConclusionsThe rate of changes in human progressive traits shows inter-individual variation, therefore they are perceived as biomarkers of the biological age of the organism. The knowledge on the mechanisms underlying phenotypic aging can be of special interest to the medicine, cosmetics industry and forensics. Our study improves the knowledge on the genetics underlying hair greying processes, presents prototype models for prediction and proves hair greying being genetically a very complex trait. Finally, we propose a four-step approach based on genetic and epigenetic data analysis allowing for i) sex determination; ii) genetic ancestry inference; iii) greying-associated SNPs assignment and iv) epigenetic age estimation, all needed for a final prediction of greying.

Differentiation of Morphologically Similar Human Head Hairs from Two Demographically Similar Individuals Using Amino Acid Ratios.

Human hair is frequently encountered as forensic evidence and can contribute valuable information to investigators. Conventional forensic hair analyses include microscopic hair comparison (MHC) and DNA analysis. However, MHC is not supported by statistics and DNA analysis cannot always be performed. Recent studies have demonstrated that evaluation of differences in the hair proteins may offer an alternate method to these analyses. In this study, an evaluation of the amino acids present in hair was investigated as an approach to differentiate morphologically indistinguishable hair samples from two demographically similar individuals. Proteins in the hair were digested using hydrochloric acid, and the resulting amino acids were derivatized with N,O-Bis(trimethylsilyl)trifluoroacetamide (BSTFA) for analysis using gas chromatography-mass spectrometry (GC-MS). Eight derivatized amino acids were detected and quantified relative to an internal standard, L-norvaline, and used to construct twenty-eight amino acid ratios. Hair samples were collected from four areas of the head on various days over the course of one month, and no significant differences in amino acid ratios (p-value > 0.05) were observed among the areas of the head, and the ratios were consistent over the time period of this study. Additionally, fifteen of these amino acid ratios were found to be significantly different between the two individuals when compared using a two-sample t-test (p-value ≤ 0.05). These data indicate that amino acid analysis was able to differentiate two morphologically similar hair samples from different individuals and demonstrates the applicability of this method to distinguish similar hair samples when DNA analysis cannot be performed.

Application of statistical design of experiments to assess pre-treatment parameters in forensic hair analysis for amphetamine

Toxicological analysis of human head hair for detecting drugs of abuse requires multiple pre-treatment steps before analysis, such as washing to remove external contamination, pulverization/homogenization of the sample matrix, and subsequent extraction of the drug from matrix components. The predominant approach to developing and assessing the efficacy of hair pre-treatment protocols uses a traditional one factor at a time (OFAT) approach, in which one independent variable at a time is changed to observe the effect on the dependent variable. An alternative approach to assessing pre-treatment protocols is statistical design of experiments (DoE), which involves the systematic variation of all independent variables (i.e., pre-treatment conditions) simultaneously, allowing for the variation in the dependent variable (i.e., extraction efficiency) associated with each independent variable and combinations thereof to be observed. In the present study, a 24 factorial block DoE design was used to compare the efficacy of parameters in the decontamination and extraction of amphetamine from human head hair. DoE studies identified that the most effective pre-treatment conditions included 1% SDS washes followed by methanol washes for 30 s each time, milling the hair into a powder, and final extraction of drug with 12.5 μL of 2 mM proteinase K solution/mg of hair. The most notable result of these DoE studies was that the combinatorial effect of all parameters was consistently significant, confirming that it is necessary to consider pre-treatment protocols as complete sets of procedures, as is done in DoE, compared to optimizing individual factors using an OFAT approach.

Does facial hair greying in chimpanzees provide a salient progressive cue of aging?

The greying of human head hair is arguably the most salient marker of human aging. In wild mammal populations, greying can change with life history or environmental factors (e.g., sexual maturity in silverback gorillas). Yet, whether humans are unique in our pattern of age-related hair depigmentation is unclear. We examined the relationship between pigmentation loss in facial hair (greying) to age, population, and sex in wild and captive chimpanzees (Pan troglodytes). Digital facial photographs representing three chimpanzee populations (N = 145; ages 1–60 years) were scored for hair greying on a scale of one [~100% pigmented] to six [~0% pigmented]. Our data suggest that chimpanzee head and facial hair generally greys with age prior to mid-life (~30 years old), but afterwards, greying ceases to increase incrementally. Our results highlight that chimpanzee pigmentation likely exhibits substantial variation between populations, and that both 'grey' and pigmented phenotypes exist across various age classes. Thus, chimpanzee facial hair greying is unlikely a progressive indicator of age beyond mid-life, and thus facial greying in chimpanzees seems different from the pattern observed in humans. Whether this reflects neutral differences in senescence, or potential differences in selection pressures (e.g. related to conspecific communication), is unclear and worthy of more detailed examination across populations and taxa.

Evaluating Endogenous GHB Variation in Hair with a Synthetic Hair Matrix.

The variation in drug concentrations in human head hair from 22 donors was measured using a synthetic hair matrix (SMx™ hair). This matrix is being reported for the first time as a calibrator for an endogenous substance. In comparison to authentic hair or melanin, the synthetic hair provided a reliable batch-to-batch source of liquid matrix similar in composition to authentic hair, but without detectable concentrations of endogenous gamma-hydroxybutyric acid (GHB). Using the synthetic matrix for calibrator samples, validation of a liquid chromatography-tandem mass spectrometry (LC-MS/MS) quantitative method for GHB in human head hair was completed. Validation included the evaluation of the following parameters: accuracy, precision, calibration model, carryover, interferences, limit of detection (LOD), limit of quantitation (LOQ) and processed sample stability. The method was valid over a range of 0.4-12ng/mg, and its LOD and LOQ were both experimentally estimated to be 0.4ng/mg. After validation, the variation in endogenous GHB concentrations across multiple donors and locations in the vertex posterior region of the human head were evaluated. Results for 11 non-GHB users showed minimal variability (average 3.0% RSD) across the vertex posterior for hair samples taken from three different areas. There was also low variability (average 1.8% RSD) in repeat samples taken from the same location for 11 other non-users. Endogenous GHB concentrations from the LOD/LOQ to 5.60ng/mg were determined for the 22 donors using the synthetic hair as a calibrator. These results demonstrate the successful application of a synthetic hair matrix in the analysis of GHB in human hair.

Towards broadening Forensic DNA Phenotyping beyond pigmentation: Improving the prediction of head hair shape from DNA

Human head hair shape, commonly classified as straight, wavy, curly or frizzy, is an attractive target for Forensic DNA Phenotyping and other applications of human appearance prediction from DNA such as in paleogenetics. The genetic knowledge underlying head hair shape variation was recently improved by the outcome of a series of genome-wide association and replication studies in a total of 26,964 subjects, highlighting 12 loci of which 8 were novel and introducing a prediction model for Europeans based on 14 SNPs. In the present study, we evaluated the capacity of DNA-based head hair shape prediction by investigating an extended set of candidate SNP predictors and by using an independent set of samples for model validation. Prediction model building was carried out in 9674 subjects (6068 from Europe, 2899 from Asia and 707 of admixed European and Asian ancestries), used previously, by considering a novel list of 90 candidate SNPs. For model validation, genotype and phenotype data were newly collected in 2415 independent subjects (2138 Europeans and 277 non-Europeans) by applying two targeted massively parallel sequencing platforms, Ion Torrent PGM and MiSeq, or the MassARRAY platform. A binomial model was developed to predict straight vs. non-straight hair based on 32 SNPs from 26 genetic loci we identified as significantly contributing to the model. This model achieved prediction accuracies, expressed as AUC, of 0.664 in Europeans and 0.789 in non-Europeans; the statistically significant difference was explained mostly by the effect of one EDAR SNP in non-Europeans. Considering sex and age, in addition to the SNPs, slightly and insignificantly increased the prediction accuracies (AUC of 0.680 and 0.800, respectively). Based on the sample size and candidate DNA markers investigated, this study provides the most robust, validated, and accurate statistical prediction models and SNP predictor marker sets currently available for predicting head hair shape from DNA, providing the next step towards broadening Forensic DNA Phenotyping beyond pigmentation traits.

KONSENTRASI MERKURI PADA RAMBUT KEPALA DAN KESEHATAN MASYARAKAT PADA LOKASI PENAMBANGAN EMAS TRADISIONAL BULADU KABUPATEN GORONTALO UTARA

This study aims to identify mercury concentrations in head hair and its effect on public health at the traditional gold mining. The study was conducted at the gold mining, Buladu Village, North Gorontalo Regency. Samples were taken randomly from human head hair. Samples of public health condition were taken from respondents who served as the samples of mercury concentrations in the head hair. The number of respondents was 20 people. The samples of mercury in the head hair were analyzed at the Integrated Research and Testing Laboratory of UGM by using mercury analyzer. The quality standard used as a reference to the mercury concentrations in the head hair was the recommendation of the National Research Council (NCR), i.e. 12 ppm. The results of the analysis of the public health were tabulated and then interpreted. The results of the analysis indicated that the highest mercury concentration in the head hair was 952.85 mg/kg and the lowest was 0.03 mg/kg with an average mercury concentration of 55.09 mg/kg. This result was above the threshold quality standards established by NCR, i.e. 12 ppm. Many factors affect the mercury concentrations in humans, including education, income, environmental sanitation and food consumption. Waste dumped directly into the river will affect river water and marine aquatic animals. The consumption of food taken from the waters of Sulawesi Sea affects influence the mercury concentrations in the head hair.

Transcriptome Reveals Long Non-coding RNAs and mRNAs Involved in Primary Wool Follicle Induction in Carpet Sheep Fetal Skin.

Murine primary hair follicle induction is driven by the communication between the mesenchyme and epithelium and mostly governed by signaling pathways including wingless-related integration site (WNT), ectodysplasin A receptor (EDAR), bone morphogenetic protein (BMP), and fibroblast growth factor (FGF), as observed in genetically modified mouse models. Sheep skin may serve as a valuable system for hair research owing to the co-existence of sweat glands with wool follicles in trunk skin and asynchronized wool follicle growth pattern similar to that of human head hair follicles. However, the mechanisms underlying wool follicle development remain largely unknown. To understand how long non-coding RNAs (lncRNAs) and mRNAs function in primary wool follicle induction in carpet wool sheep, we conducted high-throughput RNA sequencing and revealed globally altered lncRNAs (36 upregulated and 26 downregulated), mRNAs (228 elevated and 225 decreased), and 80 differentially expressed novel transcripts. Several key signals in WNT (WNT2B and WNT16), BMP (BMP3, BMP4, and BMP7), EDAR (EDAR and EDARADD), and FGF (FGFR2 and FGF20) pathways, and a series of lncRNAs, including XLOC_539599, XLOC_556463, XLOC_015081, XLOC_1285606, XLOC_297809, and XLOC_764219, were shown to be potentially important for primary wool follicle induction. GO and KEGG analyses of differentially expressed mRNAs and potential targets of altered lncRNAs were both significantly enriched in morphogenesis biological processes and transforming growth factor-β, Hedgehog, and PI3K-Akt signaling, as well as focal adhesion and extracellular matrix-receptor interactions. The prediction of mRNA-mRNA and lncRNA-mRNA interaction networks further revealed transcripts potentially involved in primary wool follicle induction. The expression patterns of mRNAs and lncRNAs of interest were validated by qRT-PCR. The localization of XLOC_297809 and XLOC_764219 both in placodes and dermal condensations was detected by in situ hybridization, indicating important roles of lncRNAs in primary wool follicle induction and skin development. This is the first report elucidating the gene network of lncRNAs and mRNAs associated with primary wool follicle early development in carpet wool sheep and will shed new light on selective wool sheep breeding.

Protein extraction from human anagen head hairs 1-millimeter or less in total length.

A simple method for extracting protein from human anagen (i.e., actively growing hair stage) head hairs was developed in this study for cases of limited sample availability and/or studies of specific micro-features within a hair. The distinct feature segments of the hair from one donor were divided lengthwise (i.e., each of ∼200-400μm) and then pooled for three individual hairs to form a total of eight composite hair samples (i.e., each of ∼1mm or less in total length). The proteins were extracted, digested using trypsin, and characterized via nano-flow liquid chromatography tandem-mass spectrometry (nLC-MS/MS). A total of 63 proteins were identified from all eight protein samples analyzed of which 60% were keratin and keratin-associated proteins. The major hair keratins identified are consistent with previous studies using fluorescence in situ hybridization and nLC-MS/MS while requiring over 400-8000-fold less sample. The protein extraction method from micro-sized human head hairs described in this study will enable proteomic analysis of biological evidence for cases of limited sample availability and will complement hair research. For example, research seeking to develop alternative non-DNA based techniques for comparing questioned to known hairs, and understanding the biochemistry of hair decomposition.

Demethylation of methionine and keratin damage in human hair

Growing human head hair contains a history of keratin and provides a unique model for studies of protein damage. Here, we examined mechanism of homocysteine (Hcy) accumulation and keratin damage in human hair. We found that the content of Hcy-keratin increased along the hair fiber, with levels 5–10-fold higher levels in older sections at the hair’s tip than in younger sections at hair’s base. The accumulation of Hcy led to a complete loss of keratin solubility in sodium dodecyl sulfate. The increase in Hcy-keratin was accompanied by a decrease in methionine-keratin. Levels of Hcy-keratin were correlated with hair copper and iron in older hair. These relationships were recapitulated in model experiments in vitro, in which Hcy generation from Met exhibited a similar dependence on copper or iron. Taken together, these findings suggest that Hcy-keratin accumulation is due to copper/iron-catalyzed demethylation of methionine residues and contributes to keratin damage in human hair.

Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair.

Shape variation of human head hair shows striking variation within and between human populations, while its genetic basis is far from being understood. We performed a series of genome-wide association studies (GWASs) and replication studies in a total of 28 964 subjects from 9 cohorts from multiple geographic origins. A meta-analysis of three European GWASs identified 8 novel loci (1p36.23 ERRFI1/SLC45A1, 1p36.22 PEX14, 1p36.13 PADI3, 2p13.3 TGFA, 11p14.1 LGR4, 12q13.13 HOXC13, 17q21.2 KRTAP, and 20q13.33 PTK6), and confirmed 4 previously known ones (1q21.3 TCHH/TCHHL1/LCE3E, 2q35 WNT10A, 4q21.21 FRAS1, and 10p14 LINC00708/GATA3), all showing genome-wide significant association with hair shape (P < 5e-8). All except one (1p36.22 PEX14) were replicated with nominal significance in at least one of the 6 additional cohorts of European, Native American and East Asian origins. Three additional previously known genes (EDAR, OFCC1, and PRSS53) were confirmed at the nominal significance level. A multivariable regression model revealed that 14 SNPs from different genes significantly and independently contribute to hair shape variation, reaching a cross-validated AUC value of 0.66 (95% CI: 0.62–0.70) and an AUC value of 0.64 in an independent validation cohort, providing an improved accuracy compared with a previous model. Prediction outcomes of 2504 individuals from a multiethnic sample were largely consistent with general knowledge on the global distribution of hair shape variation. Our study thus delivers target genes and DNA variants for future functional studies to further evaluate the molecular basis of hair shape in humans.

Age, Health and Attractiveness Perception of Virtual (Rendered) Human Hair.

The social significance of physical appearance and beauty has been documented in many studies. It is known that even subtle manipulations of facial morphology and skin condition can alter people’s perception of a person’s age, health and attractiveness. While the variation in facial morphology and skin condition cues has been studied quite extensively, comparably little is known on the effect of hair on social perception. This has been partly caused by the technical difficulty of creating appropriate stimuli for investigations of people’s response to systematic variation of certain hair characteristics, such as color and style, while keeping other features constant. Here, we present a modeling approach to the investigation of human hair perception using computer-generated, virtual (rendered) human hair. In three experiments, we manipulated hair diameter (Experiment 1), hair density (Experiment 2), and hair style (Experiment 3) of human (female) head hair and studied perceptions of age, health and attractiveness. Our results show that even subtle changes in these features have an impact on hair perception. We discuss our findings with reference to previous studies on condition-dependent quality cues in women that influence human social perception, thereby suggesting that hair is a salient feature of human physical appearance, which contributes to the perception of beauty.

Hairy matters: MtDNA quantity and sequence variation along and among human head hairs

Hairs from the same donor have been found to differ in mtDNA sequence within and among themselves and from other tissues, which impacts interpretation of results obtained in a forensic setting. However, little is known on the magnitude of this phenomenon and published data on systematic studies are scarce. We addressed this issue by generating mtDNA control region (CR) profiles of >450 hair fragments from 21 donors by Sanger-type sequencing (STS). To mirror forensic scenarios, we compared hair haplotypes from the same donors to each other, to the corresponding buccal swab reference haplotypes and analyzed several fragments of individual hairs. We also investigated the effects of hair color, donor sex and age, mtDNA haplogroup and chemical treatment on mtDNA quantity, amplification success and variation. We observed a wide range of individual CR sequence variation. The reference haplotype was the only or most common (≥75%) hair haplotype for most donors. However, in two individuals, the reference haplotype was only found in about a third of the investigated hairs, mainly due to differences at highly variable positions. Similarly, most hairs revealed the reference haplotype along their entire length, however, about a fifth of the hairs contained up to 71% of segments with deviant haplotypes, independent of the longitudinal position. Variation affected numerous positions, typically restricted to the individual hair and in most cases heteroplasmic, but also fixed (i.e. homoplasmic) substitutions were observed. While existing forensic mtDNA interpretation guidelines were found still sufficient for all comparisons to reference haplotypes, some comparisons between hairs from the same donor could yield false exclusions when those guidelines are strictly followed. This study pinpoints the special care required when interpreting mtDNA results from hair in forensic casework.

Exploring the mitochondrial DNA variability of the Amazonian Yanomami.

The aim of this study was to explore the mitochondrial variability in the Yanomami population to reconstruct its demographic history and explore its genetic composition in relation to its cultural and linguistic features. A total of 174 human head hair shafts -collected in 1958- belonging to individuals from a Yanomami group living in Santa Isabel, Brazil, were analyzed. Automated extraction of the hairs was performed, and several methods were applied to optimize the analysis of the degraded DNA. The mtDNA hypervariable segments I-II, along with the 9-bp COII-tRNALys deletion, were investigated. Using published data from the Yanomami and other Amazonian populations, several statistical analyses were carried out to explore the genetic variability within the study population. Ninety eight percent of the mitochondrial DNA (mtDNA) sequences analyzed belonged to Native American haplogroups, while 2% belonged to African haplogroups. Compared with the Yanomami groups previously studied, the Santa Isabel sample seemed more genetically similar to other Amazonian populations. Among the Yanomami samples studied to date, the Santa Isabel Yanomami show a higher genetic heterogeneity. This could be due to gene flow with non-Yanomami populations, as well as to the introduction of new mitochondrial haplotypes by gold miners. In both cases, the geographic location of Santa Isabel might have made this Yanomami village less isolated than the others, suggesting that the Rio Negro played a central role in increasing its genetic variability. On the whole, the Yanomami were quite genetically diversified, probably mirroring their great linguistic heterogeneity. Am. J. Hum. Biol. 28:846-856, 2016. © 2016Wiley Periodicals, Inc.

Effects of human head hair on performance and thermoregulatory responses during 10-km outdoor running in healthy men

DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n2p155 The aim of the present study was to evaluate the effects of human head hair on performance and thermoregulatory responses during 10-km outdoor running in healthy men. Twelve healthy males (29.5 ± 3.7 years, 174.9 ± 4.3 cm, 72.7 ± 3.2 kg and VO2max 44.6 ± 3.4 ml.kg-1.min-1) participated in two self-paced outdoor 10-km running trials separated by 7 days: 1) HAIR, subjects ran with their natural head hair; 2) NOHAIR, subjects ran after their hair had been totally shaved. Average running velocity was calculated from each 2-km running time. Rectal temperature, heart rate and physiological strain index were measured before and after the 10-km runs and at the end of each 2 km. The rate of heat storage was measured every 2 km. The environmental stress (WBGT) was measured every 10 min. The running velocity (10.9 ± 1 and 10.9 ± 1.1 km.h-1), heart rate (183 ± 10 and 180 ± 12 bpm), rectal temperature (38.82 ± 0.29 and 38.81 ± 0.49oC), physiological strain index (9 ± 1 and 9 ± 1), or heat storage rate (71.9 ± 64.1 and 80.7 ± 56.7 W.m-1) did not differ between the HAIR and NOHAIR conditions, respectively (p&gt;0.05). There was no difference in WBGT between the HAIR and NOHAIR conditions (24.0 ± 1.4 and 23.2 ± 1.5ºC, respectively; p=0.10). The results suggest that shaved head hair does not alter running velocity or thermoregulatory responses during 10-km running under the sun.

Quantitative analysis of the endogenous GHB level in the hair of the Chinese population using GC/MS/MS

Endogenous production complicates interpretation when gamma-hydroxybutyrate (GHB) is measured in hair for forensic purposes. A method capable of quantifying the endogenous concentration of GHB in human head hair was developed and validated using GC/MS/MS. Hair was digested under alkaline conditions (1 mol/L NaOH, 90 °C 10 min), and GHB-d6 was used as an internal standard. Before derivatization with BSTFA and ethyl acetate, a liquid–liquid extraction with ethyl acetate under acidic conditions was performed. GHB-TMS derivatives were detected using GC/MS/MS in the multiple-reaction monitoring mode. This method exhibited good linearity (y = 0.018x + 0.038, R2 = 0.9998), and the limit of detection was 0.02 ng/mg. The extraction recoveries were more than 60%, and the inter-day and intra-day relative standard deviations (RSD) were less than 15%. This method has been applied for the analysis of the endogenous GHB in hair samples from 66 drug-free Chinese donors. The mean measured concentration for 0–3 cm hair was 1.93 ± 1.40 ng/mg (n = 66), and extreme values were in the range of 0.28–4.91 ng/mg. The mean male endogenous GHB level was 2.95 ng/mg (0.92–4.91 ng/mg, n = 35), while the mean female level was 0.77 ng/mg (0.28–1.95 ng/mg, n = 31). This method was applied to a forensic case for the determination of GHB in hair samples but it is hard to make a reasonable “cut off” in hair. The solution is to use each subject as his own control.