7-dehydrocholesterol (7-DHC) and cholesterol (CHOL) are biomarkers of Smith-Lemli-Opitz Syndrome (SLOS), a congenital autosomal recessive disorder characterized by elevated 7-DHC level in patients. ...Hair samples have been shown to have great diagnostic and research value, which has long been neglected in the SLOS field. In this study, we sought to investigate the feasibility of using hair for SLOS diagnosis. In the presence of antioxidants (2,6-ditert-butyl-4-methylphenol and triphenylphosphine), hair samples were completely pulverized and extracted by micro-pulverized extraction in alkaline solution or in n-hexane. After microwave-assisted derivatization with N,O-Bis(trimethylsilyl)trifluoroacetamide, the analytes were measured by GC-MS. We found that the limits of determination for 7-DHC and CHOL were 10 ng/mg and 8 ng/mg, respectively. In addition, good linearity was obtained in the range of 50–4000 ng/mg and 30–6000 ng/mg for 7-DHC and CHOL, respectively, which fully meets the requirement for SLOS diagnosis and related research. Finally, by applying the proposed method to real hair samples collected from 14 healthy infants and two suspected SLOS patients, we confirmed the feasibility of hair analysis as a diagnostic tool for SLOS. In conclusion, we present an optimized and validated analytical method for the simultaneous determination of two SLOS biomarkers using human hair.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPUK, ZAGLJ, ZRSKP
For 20 years, FBI forensic experts gave flawed testimony regarding microscopic hair analysis. Jim Norton, William Anderson and George Divine unpick their mistakes
For 20 years, FBI forensic experts ...gave flawed testimony regarding microscopic hair analysis. Jim Norton, William Anderson and George Divine unpick their mistakes
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BFBNIB, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, UL, UM, UPUK
•On average 21 different biomarkers (9–37) were detected per sample.•First values for 55 pesticides, 4 PCBs and 5 PBDEs in French children’s hair.•Important differences were observed between children ...living in the same area.•Results showed that exposure is stronger in boys and in younger children.•Specific local contamination would not be the main contributor to exposure.
Children represent one of the most vulnerable parts of the population regarding the effects of pollutants exposure on health. In this study, hair samples were collected between October 2013 and August 2015 from 142 French children originating from different geographical areas (urban and rural) and analysed with a GC/MS-MS method, allowing for the detection of 55 biomarkers for pesticides and metabolites both persistent and non-persistent from different families, including: organochlorines, organophosphates, pyrethroids, azoles, dinitroanilines, oxadiazines, phenylpyrazoles and carboxamidas; 4 polychlorobiphenyls (PCBs) and 5 polybromodiphenylethers (PBDEs). The number of compounds detected in each sample ranged from 9 up to 37 (21 on average), which clearly highlighted the cumulative exposure of the children. The results also showed a wide range of concentration of the pollutants in hair (often more than 100 times higher in the most exposed child compared to the less exposed), suggesting significant disparities in the exposure level, even in children living in the same area. In addition to the detection of currently used chemicals, the presence of persistent organic pollutants (POPs) in children also suggests that the French population is still exposed to POPs nowadays. PCP, DEP, PNP, 3Me4NP, trans-Cl2CA, 3PBA, fipronil and fipronil sulfone, presented statistically significant higher concentration in the hair of boys compared to girls. PCP, PNP and 3Me4NP presented statistically significant higher concentration in younger children. Finally, this study also suggests that local environmental contamination would not be the main source of exposure, and that individual specificities (habits, diet…) would be the main contributors to the exposure to the pollutants analysed here. The present study strongly supports the relevance of hair for the biomonitoring of exposure and provides the first values of organic pollutant concentration in the hair of French children.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPUK, ZAGLJ, ZRSKP
The work discusses the results of hair and urine testing performed in 51 cases of suspected in utero drug exposure handled at the University Hospital of Verona from 2016 to 2022. On the day of birth ...or the day after birth, urine from mother and newborn (UM and UN) and hair from mother (HM), newborn (HN) and father (HF), if possible, were collected. Urine underwent immunoassay and GC-MS analysis, whereas hair underwent LC-MS/MS and GC-MS/MS analysis. In 50 out of 51 cases, HM and/or HN were available. In 92% of them, hair testing resulted in a positive, often (>50% cases) for more than one class of substance. The most detected substances were cocaine, opiates, methadone and cannabinoids. Maternal segmental analysis showed a prevalent decreasing concentration trend during pregnancy in case of positivity for one class of substances, whereas, as expected, a neatly prevalent increasing trend in the case of positivity for more than one class of substances. In nine cases, HF was also available, resulting in all being positive, usually for the same classes of substances identified in HM, thus questioning parental responsibility. In 33 cases, urine samples from the mother or newborn were also collected. Of them, 27 cases (82%) tested positive, showing peri-partum drug consumption and then confirming the severity of the addiction. Hair testing showed to be a reliable diagnostic tool to investigate in utero drug exposure because of the possibility of obtaining a complete picture of maternal addictive behaviour and family background, thanks to segmental maternal hair analysis and father hair testing.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
•“Hair analysis was used to assess exposure of 204 Chinese women to multiclass pesticides.•71 pesticides and 23 metabolites were found in at least one subject.•In each subject the number of detected ...chemicals ranged from 25 to 50.•38 biomarkers presented significantly different concentration between the 2 cities.•Age, BMI, cooking frequency and regions affected concentrations of pesticides in hair.”
The high use of pesticides worldwide and the constant exposure of humans to these toxic-by-design chemicals have drawn the attention on the possible consequences on human health. However, information on the exposure of the general population to pesticides remain very limited in most countries, especially in urban areas. In the present work, hair analysis was conducted to investigate the exposure of 204 urban women living in two Chinese cities (Baoding and Dalian) to 110 pesticides and 30 metabolites of the following families: organochlorines, organophosphates, carbamates, pyrethroids, neonicotinoids, phenylpyrazoles, acid herbicides, urea herbicides and azoles. Results showed that 71 pesticides and 23 metabolites were found in the hair samples, with concentrations ranging up to 1070 pg/mg in hair. In each hair sample, the number of detected chemicals ranged from 25 to 50, demonstrating the cumulative exposure to pesticides among Chinese women in the studied regions. The concentrations of 38 chemicals (e.g., p-nitrophenol, diethyldithiophosphate, λ-cyhalothrin, permethrin, carbendazim and tebuconazole) were significantly different between women in Baoding and Dalian, indicating the regional differences in exposure to pesticide. Using a multiple regression analysis, we found that concentrations of a few dominant pesticides were associated with age, body mass index (BMI), cooking frequency and regions. These results can provide baseline information on exposure of female adult Chinese population to multiple pesticides and support future studies focused on the health effects associated with pesticide exposure.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPUK, ZAGLJ, ZRSKP
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•First overview of benzodiazepine and z-drug levels in a large number of hair samples.•Benzodiazepine and z-drug hair concentrations vary considerably.•Zolpidem, diazepam, nordazepam, ...oxazepam, lorazepam most frequently detected.•Inclusion of metabolites mandatory for some benzodiazepines (e.g., flunitrazepam).•Current cut-offs and recommended detection limits should be reconsidered.
Benzodiazepines (BDZ) and z-drugs belong to the most frequently prescribed medicines worldwide used for anxiety, epilepsy and sleeping disorders. Due to their pharmacology, they have a high potential for misuse. Hair analysis is being performed for the retrospective monitoring of drug exposure. However, there is a lack of reference values to obtain indication of BDZ/z-drug misuse. Further, there is no consensus on BDZ/z-drug cut-off concentrations above which a hair sample is reported as positive. The objective of the present study was to retrospectively evaluate BDZ/z-drug levels in hair for better interpretation of hair testing results. For this purpose, 4,630 authentic samples (head/body hair) from a heterogeneous cohort in Switzerland tested for the presence of 20 BDZ/BDZ metabolites and three z-drugs by liquid chromatography-tandem mass spectrometry were included. Drug concentrations in hair were statistically evaluated by box-plots in 1,726 positive samples. Further, metabolite-to-parent drug ratios were determined. Zolpidem, diazepam, nordazepam, oxazepam, lorazepam, midazolam, alprazolam, and bromazepam were among the most frequently detected drugs. Generally, drug concentration ranges varied strongly between the lower limit of quantification and 30,000 pg/mg hair. Sixteen BDZ/BDZ metabolites and zopiclone (z-drug) displayed a median below 50 pg/mg which is recommended as cut-off or minimum requirement for the limit of detection (LOD) by institutions. In case of ten drugs even the 75th percentile was below 50 pg/mg. Therefore, we strongly recommend to reconsider whether the use of an equal BDZ/z-drug cut-off is reasonable and whether minimum requirements for LODs should be lowered. The statistical evaluation of BDZ/Z-drug hair concentrations by box-plots can help in the development of analytical methods for hair samples and in the interpretation of BDZ/z-drug hair levels.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPUK, ZAGLJ, ZRSKP
Population is continuously exposed to endocrine disrupting compounds present in everyday products such as parabens, bisphenol A (BPA), and perfluoroalkyl compounds (PFCs). The aims of this study ...were, first, to evaluate human exposure to three parabens (methylparaben (MeP), ethylparaben (EtP) and propylparaben (PrP)), BPA and six PFCs (perfluorobutanoic acid, perfluoropentanoic acid, perfluorohexanoic acid, perfluoroheptanoic acid (PFHpA), perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS)) through the analysis of hair samples from children, women and men and, then, to evaluate possible relationships between pollutant concentration in hair and age, gender, smoking and dyeing habits or hair colour. Hair samples were collected from 42 volunteers from Seville (Spain) (10 children, 16 women and 16 men). Six of the monitored pollutants (MeP, EtP, PrP, BPA, PFHpA and PFOS) were detected in at least 76% of the samples analysed. The highest concentrations and frequency of detection (100% of the samples) corresponded to MeP and PrP (up to 14,187 and 9009 ng/g, respectively). BPA was found in 83% of the samples at concentrations in the range from 24 to 1427 ng/g whereas PFCs were detected at concentrations in the range from 0.6 to 15.5 ng/g, being PFHpA and PFOS the ones most frequently detected (86% and 76%, respectively). Concentrations of BPA and parabens in adults were statistically higher than those in children. The results of this study reveal the suitability of hair for biomonitoring endocrine disrupting compounds of high concern (PFCs, parabens and BPA) to which population is internally or/and externally but continuously exposed.
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•First biomonitoring study of BPA, 3 parabens and 6 PFCs in hair samples•MeP, EtP, PrP, BPA, PFHpA and PFOS were detected in at least 76% of the samples.•Concentrations of BPA and parabens in adults were higher than in children.•No correlation was found between EDC concentrations and smoking or dyeing habits.•Hair samples revealed exposure information different from other matrices.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPUK, ZAGLJ, ZRSKP
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•First biomonitoring study on a group representative of the adult general population in Luxembourg.•34 persistent and 33 non-persistent pollutants were analyzed in hair samples from ...497 adults.•17 pollutants were detected in >50% of the subjects.•15 pollutants presented significant associations with sex, age and/or body mass index.
Environmental exposure of humans to pollutants has been associated with adverse health outcomes, but few studies have evaluated the multiple exposure of general populations. In the present study, we used hair analysis to assess the exposure of a general adult population (n = 497) in Luxembourg to 34 persistent and 33 non-persistent organic pollutants from 11 chemical families, such as polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), organochlorine pesticides (OCPs), organophosphate pesticides (OPPs), and pyrethroid pesticides (PYRs). We detected 24 persistent and 29 non-persistent organic pollutants, with 17 pollutants being detected in more than 50% of hair samples. The median concentrations for pollutants detected in 100% of the samples were 0.37 pg/mg for lindane (γ-HCH), 0.15 pg/mg for hexachlorobenzene (HCB), 14.1 pg/mg for p-nitrophenyl (PNP), and 0.10 pg/mg for trifluralin. Each participant in this study had detectable levels of at least 10 of the pollutants analyzed, and 50% of participants had 19 or more, suggesting the simultaneous exposure to numerous different pollutants among our study population. Significant correlations were often found between pollutants from the same family, with the strongest being found between two PYR metabolites, trans/cis-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane-carboxylic acid (Cl2CA) and 3-phenoxybenzoic acid (3-PBA). Results from multiple linear regression analyses showed that sex, age and/or body mass index were significantly associated with 15 out of the 17 frequently detected pollutants. The current study is the first nationwide biomonitoring investigating organic contaminants in the Luxembourg population using hair analysis.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPUK, ZAGLJ, ZRSKP
•Segmental hair analysis for patients with a chronic olanzapine intake.•Concentrations of olanzapine and N-desmethyl-olanzapine in postmortem hair.•Considerable decrease in olanzapine concentration ...from proximal to distal segment.•Positive correlation between olanzapine in blood and in the proximal hair segments.•No correlation between estimated olanzapine dose and olanzapine concentration in hair
Hair analysis is a useful tool for establishing long-term drug intake. Segmental analysis, in particular, where the hair is cut into defined segments, can potentially provide a calendar of patients’ drug intake as drugs are incorporated into the growing hair through the bloodstream with an average growth rate of 1 cm per month. Forensic investigations of hair require knowledge of typical concentrations of common pharmaceuticals in hair, which are rarely reported. The aim of this study was to provide values for olanzapine and N-desmethyl-olanzapine concentrations in postmortem hair from chronic olanzapine consumers to contribute to the establishment of a reference interval for this drug. We analyzed postmortem head hair samples from 37 suspected mentally ill patients, who were part of the SURVIVE population, a Danish national autopsy-based study. Each sample was cut into 1 cm segments, and up to six segments, corresponding to up to six months of hair growth prior to death, were analyzed depending on the hair length. The hair extracts were analyzed by liquid chromatography tandem mass spectrometry. Olanzapine and N-desmethyl-olanzapine were added to a published and validated method. The 37 patients were 12 females and 25 males aged 25–81 years. Their hair colors varied from blond to black, with the majority brown, thus no trend could be discerned from the hair colors. Drugs other than olanzapine were found in all cases except one, and illicit drugs were found in the hair samples of 38 % of the cases. We report olanzapine concentrations ranging from 0.005–20.9 ng/mg (median 0.128 ng/mg) and N-desmethyl-olanzapine concentrations from 0.027 to 0.187 ng/mg (median 0.068 ng/mg) for all 141 analyzed segments. Metabolite-to-drug ratios ranged from 0.010 to 3.31 (median 0.590). Dose calculations based on prescription pick-up demonstrated no correlation with the concentrations in hair, but olanzapine concentrations in the proximal hair segment correlated significantly with olanzapine concentrations in postmortem blood. Olanzapine concentrations decreased considerably from the proximal to distal segments, emphasizing the importance of reporting the length of the measured hair when reporting drug concentrations in hair. This study can contribute to the establishment of a reference interval for olanzapine and N-desmethyl-olanzapine concentrations in hair by reporting concentrations in hair from chronic consumers.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPUK, ZAGLJ, ZRSKP
Since the late 90s, hair testing for anabolic steroids in humans has found numerous forensic, clinical, and anti‐doping applications. In most cases, analyses were performed on head hair, collected in ...the vertex regions. However, for various reasons (shaved subject, bald subject, religious belief, cosmetic treatment and aesthetic reason), hair collectors can face the lack of head hair, and therefore, body hair can be the unique alternative choice. Although there is no possibility to perform segmental analyses with body hair, their use has two major advantages: (1) In most cases, anabolic steroids are more concentrated in body hair when compared with head hair, which allows detecting abuse at lower frequency and for lower dosages; and (2) the window of drug detection is generally much longer in body hair when compared with head hair, particularly in male athlete presenting short head hair. To document the relevance of simultaneous collection of head and body hair, the authors present eight authentic cases of anabolic steroids abuse, including clostebol (one case), drostanolone (one case), metandienone (one case), 19‐norandrostenedione (one case), stanozolol (two cases) and trenbolone (three cases). In all cases, body hair concentrations were higher than head hair concentrations. Even in three cases, no steroid was identified in head hair, although present in body hair.
Various body hair, collected from the same individual, when compared to head hair will provide additional information.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
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