Développement, application et validation d’une nouvelle stratégie de mesure des indicateurs biologiques de l’exposition aux pyréthrinoïdes et aux pyréthrines chez l’humain

Les pyréthrinoïdes et les pyréthrines sont des insecticides neurotoxiques auxquels on attribue également des effets néfastes sur les systèmes immunitaire, hormonal et reproducteur. Ils sont abondamment utilisés en agriculture, mais aussi en horticulture, en extermination et dans le traitement d’infestations parasitaires humaines et animales (gale, poux). Il y a donc un intérêt en santé environnementale à connaître l’ampleur de l’exposition humaine à ces pesticides. La mesure des métabolites urinaires des pyréthrinoïdes et des pyréthrines apparaît une approche de choix pour arriver à cette fin puisqu’elle permet, en théorie, d’obtenir un portrait global de l’exposition. Or,traditionnellement et par soucis de simplicité les concentrations volumiques ou ajustées pour la créatinine) de ces biomarqueurs dans des urines ponctuelles sont déterminées, mais l’effet de l’utilisation de ces unités sur la validité des estimations de dose quotidienne absorbée n’a jamais été vérifié. L’objectif général de cette thèse était donc de développer, appliquer et valider une nouvelle stratégie de mesure et d’analyse de biomarqueurs pour améliorer la précision et la fiabilité des évaluations de l’exposition individuelles et populationnelles aux pyréthrinoïdes et pyréthrines. Les objectifs spécifiques étaient : i) de caractériser l’exposition humaine à ces contaminants en région urbaine et rurale au Québec et ii) de comparer la validité de la nouvelle stratégie de mesure et d’analyse de biomarqueurs urinaires proposée avec les autres méthodes plus usuelles utilisées pour estimer l’exposition individuelle et populationnelle et les doses absorbées de pyréthrinoïdes. Des adultes et des enfants, recrutés dans la population de l’Île de Montréal et de la Montérégie ont recueilli leurs urines pendant une période d’au moins douze heures et complété un questionnaire documentant les sources potentielles d’exposition. Les quantités de métabolites de pyréthrinoïdes et pyréthrines (pmol) mesurées dans les urines ont été ajustées pour une période de douze heures exactement et pour le poids corporel. Les quantités excrétées en région urbaine ont été comparées à celles excrétées en région rurale et les données individuelles et populationnelles ont été comparées à celles qui auraient été obtenues si des concentrations volumiques ou ajustées pour la créatinine avaient été mesurées. Les résultats montrent que l’exposition à ces pesticides est ubiquiste puisque plus de 90% des participants excrétaient les principaux métabolites de pyréthrinoïdes et pyréthrines à un niveau supérieur au seuil de détection analytique. Les résultats suggèrent que l’alimentation pourrait être à l’origine de ce niveau de base puisque les autres sources d’exposition connues n’ont été que rarement rapportées. Au Québec, l’exposition en milieu rural apparaissait légèrement plus importante qu’en milieu urbain et certains facteurs d’exposition, comme l’utilisation de pesticides domestiques, ont été rapportés plus fréquemment en milieu rural. Enfin, il a été démontré que la mesure des concentrations volumiques ou ajustées pour la créatinine de biomarqueurs est une approche qui peut entraîner des biais importants (jusqu’à 500% d’erreur et plus) en particulier lors de l’évaluation de l’exposition individuelle. Il est évident que les autorités de santé publique et de santé environnementale employant des biomarqueurs urinaires afin d’évaluer l’exposition aux pyréthrinoïdes et aux pyréthrines (ainsi qu’à d’autres molécules ayant des demi-vies d’élimination similaire)devraient diriger leurs efforts vers la mesure des quantités excrétées pendant une période d’au moins douze heures pour obtenir un portrait le plus valide possible de l’exposition. Il serait aussi souhaitable de mieux documenter la toxicocinétique de ces molécules chez l’humain afin d’établir avec une plus grande confiance la relation entre les quantités excrétées de biomarqueurs et les doses absorbées de ces contaminants.

Évaluation et modélisation de l’impact de la coexposition de composés organiques volatils sur l’excrétion de leurs biomarqueurs urinaires

L’évaluation de l’exposition aux composés organiques volatils (COV) recourt couramment à l’analyse des métabolites urinaires en assumant qu’aucune interaction ne survient entre les composés. Or, des études antérieures ont démontré qu’une inhibition de type compétitive survient entre le toluène (TOL), l’éthylbenzène (EBZ) et le m-xylène (XYL). Le chloroforme, qui est également un solvant métabolisé par le CYP2E1, se retrouve souvent en présence des autres COV dans les échantillons de biosurveillance. La présente étude visait donc à évaluer si le chloroforme (CHL) peut lui aussi interagir avec ces COV et évaluer ces interactions au niveau de l’excrétion des biomarqueurs urinaires associés, soit l’o-crésol, l’acide mandélique et l’acide m-méthylhippurique pour TOL, EBZ et XYL respectivement. Afin d’obtenir des données humaines, cinq volontaires ont été exposés par inhalation à différentes combinaisons de COV (seuls et mélanges binaires ou quaternaires) où la concentration de chacun des composés était égale à 1/4 ou 1/8 de la valeur limite d’exposition (VLE) pour une durée de 6h. Des échantillons d’air exhalé, de sang et d’urine ont été récoltés. Ces données ont ensuite été comparées aux modèles pharmacocinétiques à base physiologique (PCBP) existants afin de les ajuster pour l’excrétion urinaire. Certaines différences ont été observées entre les expositions aux solvants seuls et les coexpositions, mais celles-ci semblent majoritairement attribuables aux remplacements de participants à travers les différentes expositions. Les valeurs de Vmax pour EBZ et CHL ont été optimisées afin de mieux prédire les niveaux sanguins de ces COV. À l’exception du modèle pour EBZ, tous les paramètres pour l’excrétion urinaire ont été obtenus à partir de la littérature. Les modèles adaptés dans cette étude ont permis de simuler adéquatement les données expérimentales.

Impact of the quantity and flavonoid content of fruits and vegetables on markers of intake in adults with an increased risk of cardiovascular disease: the FLAVURS Trial

Purpose Limited robust randomised controlled trials investigating fruit and vegetable (F&V) intake in people at risk of cardiovascular disease (CVD) exist. We aimed to design and validate a dietary strategy of increasing flavonoid-rich versus flavonoid-poor F&V consumption on nutrient biomarker profile. Methods A parallel, randomised, controlled, dose–response dietary intervention study. Participants with a CVD relative risk of 1.5 assessed by risk scores were randomly assigned to one of the 3 groups: habitual (control, CT), high-flavonoid (HF) or low-flavonoid (LF) diets. While the CT group (n = 57) consumed their habitual diet throughout, the HF (n = 58) and LF (n = 59) groups sequentially increased their daily F&V intake by an additional 2, 4 and 6 portions for 6-week periods during the 18-week study. Results Compliance to target numbers and types of F&V was broadly met and verified by dietary records, and plasma and urinary biomarkers. Mean (±SEM) number of F&V portions/day consumed by the HF and LF groups at baseline (3.8 ± 0.3 and 3.4 ± 0.3), 6 weeks (6.3 ± 0.4 and 5.8 ± 0.3), 12 weeks (7.0 ± 0.3 and 6.8 ± 0.3) and 18 weeks (7.6 ± 0.4 and 8.1 ± 0.4), respectively, was similar at baseline yet higher than the CT group (3.9 ± 0.3, 4.3 ± 0.3, 4.6 ± 0.4, 4.5 ± 0.3) (P = 0.015). There was a dose-dependent increase in dietary and urinary flavonoids in the HF group, with no change in other groups (P = 0.0001). Significantly higher dietary intakes of folate (P = 0.035), non-starch polysaccharides (P = 0.001), vitamin C (P = 0.0001) and carotenoids (P = 0.0001) were observed in both intervention groups compared with CT, which were broadly supported by nutrient biomarker analysis. Conclusions The success of improving nutrient profile by active encouragement of F&V intake in an intervention study implies the need for a more hands-on public health approach.

The production and composition of rat sebum is unaffected by 3 Gy gamma radiation

The aim of this work was to use metabolomics to evaluate sebum as a source of biomarkers for gamma-radiation exposure in the rat, and potentially in man. Proof of concept of radiation metabolomics was previously demonstrated in both mouse and rat urine, from the radiation dose- and time-dependent excretion of a set of urinary biomarkers.

Avaliação dos biomarcadores urinários no controle do tratamento de estenose de junção ureteropélvica em adultos

INTRODUÇÃO E OBJETIVO: A estenose de junção ureteropélvica (EJUP) é importante causa de obstrução do trato urinário e pode levar a deterioração progressiva da função renal. Há espaço para o aprimoramento de novos métodos diagnósticos capazes de discriminar hidronefrose e uropatia obstrutiva. Acredita-se que os biomarcadores urinários podem fornecer indícios de lesão renal precoce na obstrução urinária. Neste contexto, KIM-1 pode elevar-se na urina por lesão tubular proximal, NGAL por lesão no túbulo proximal, distal ou alça de Henle, CA19-9 por produção excessiva no túbulo obstruído e ?2-microglobulina (beta2M) por injúria ao glomérulo ou ao túbulo proximal. O objetivo do presente estudo foi avaliar as propriedades diagnósticas dos biomarcadores urinários citados em adultos com EJUP, sendo o primeiro estudo na literatura a avaliar tais moléculas nesta população. MÉTODOS: Foram estudados de modo prospectivo pacientes consecutivos acima de 18 anos com diagnóstico de EJUP submetidos a pieloplastia videolaparoscópica de dezembro de 2013 a fevereiro de 2015. Foram excluídos do estudo pacientes com EJUP bilateral, rim contralateral patológico, EJUP em rim único, antecedentes de tratamento cirúrgico para estenose de JUP ou taxa de filtração glomerular inferior a 60 ml/min/1,73m2. Cada paciente forneceu quatro amostras de urina para medição de biomarcadores, uma no pré-operatório e outras com 1, 3 e 6 meses de seguimento pós-operatório. O grupo controle foi constituído por voluntários saudáveis sem hidronefrose à ultrassonografia. RESULTADOS: Foram incluídos 47 pacientes com idade média de 38,6 ± 12,7 anos (intervalo 19 a 64 anos), sendo 17 (36,2%) do sexo masculino e 30 (62,8%) do sexo feminino. O grupo controle foi composto por 40 indivíduos semelhantes ao grupo com EJUP no que concerne idade (p = 0,95) e sexo (p = 0,82). KIM-1 foi o marcador com melhores propriedades diagnósticas, apresentando área sob a curva (AUC) de 0,79 (95% CI 0,70 a 0,89). O NGAL, por sua vez, teve AUC de 0,71 (95% CI 0,61 a 0,83), CA19- 9 teve AUC de 0,70 (95% CI 0,60 a 0,81) e (beta2M) apresentou AUC de 0,61 (95% CI 0,50 a 0,73), sendo o único biomarcador com propriedades inadequadas neste cenário. O KIM-1 foi o marcador mais sensível com o ponto de corte 170,4 pg/mg de creatinina (sensibilidade 91,4%, especificidade 59,1%) e o CA 19-9 o mais específico para o ponto de corte de 51,3 U/mg de creatinina (sensibilidade 48,9%, especificidade 88,0%), enquanto o NGAL foi o que apresentou maior queda após desobstrução, com 90,0% dos pacientes apresentando clareamento superior a 50%. CONCLUSÕES: A avaliação dos biomarcadores urinários é útil no diagnóstico de obstrução em adultos com EJUP submetidos a pieloplastia videolaparoscópica. O KIM-1 foi o marcador mais sensível e o CA 19-9 o mais específico, enquanto o NGAL foi o que apresentou maior que com a desobstrução. Houve queda das concentrações dos marcadores após pieloplastia no período estudado. O papel exato dos biomarcadores urinários no cenário de obstrução em adultos deve ser mais amplamente investigado

Urinary naphthalene and phenanthrene as biomarkers of occupational exposure to polycyclic aromatic hydrocarbons.

OBJECTIVES: The study investigated the utility of unmetabolised naphthalene (Nap) and phenanthrene (Phe) in urine as surrogates for exposures to mixtures of polycyclic aromatic hydrocarbons (PAHs). METHODS: The report included workers exposed to diesel exhausts (low PAH exposure level, n = 39) as well as those exposed to emissions from asphalt (medium PAH exposure level, n = 26) and coke ovens (high PAH exposure level, n = 28). Levels of Nap and Phe were measured in urine from each subject using head space-solid phase microextraction and gas chromatography-mass spectrometry. Published levels of airborne Nap, Phe and other PAHs in the coke-producing and aluminium industries were also investigated. RESULTS: In post-shift urine, the highest estimated geometric mean concentrations of Nap and Phe were observed in coke-oven workers (Nap: 2490 ng/l; Phe: 975 ng/l), followed by asphalt workers (Nap: 71.5 ng/l; Phe: 54.3 ng/l), and by diesel-exposed workers (Nap: 17.7 ng/l; Phe: 3.60 ng/l). After subtracting logged background levels of Nap and Phe from the logged post-shift levels of these PAHs in urine, the resulting values (referred to as ln(adjNap) and ln(adjPhe), respectively) were significantly correlated in each group of workers (0.71 < or = Pearson r < or = 0.89), suggesting a common exposure source in each case. Surprisingly, multiple linear regression analysis of ln(adjNap) on ln(adjPhe) showed no significant effect of the source of exposure (coke ovens, asphalt and diesel exhaust) and further suggested that the ratio of urinary Nap/Phe (in natural scale) decreased with increasing exposure levels. These results were corroborated with published data for airborne Nap and Phe in the coke-producing and aluminium industries. The published air measurements also indicated that Nap and Phe levels were proportional to the levels of all combined PAHs in those industries. CONCLUSION: Levels of Nap and Phe in urine reflect airborne exposures to these compounds and are promising surrogates for occupational exposures to PAH mixtures.

Investigation of urinary volatile organic metabolites as potential cancer biomarkers by solid-phase microextraction in combination with gas chromatography-mass spectrometry

BACKGROUND: Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich source of volatile organic metabolites (VOMs) that can be used as potential cancer biomarkers. Our aim was to develop a generally reliable, rapid, sensitive, and robust analytical method for screening large numbers of urine samples, resulting in a broad spectrum of native VOMs, as a tool to evaluate the potential of these metabolites in the early diagnosis of cancer. METHODS: To investigate urinary volatile metabolites as potential cancer biomarkers, urine samples from 33 cancer patients (oncological group: 14 leukaemia, 12 colorectal and 7 lymphoma) and 21 healthy (control group, cancer-free) individuals were qualitatively and quantitatively analysed. Dynamic solid-phase microextraction in headspace mode (dHS-SPME) using a carboxenpolydimethylsiloxane (CAR/PDMS) sorbent in combination with GC-qMS-based metabolomics was applied to isolate and identify the volatile metabolites. This method provides a potential non-invasive method for early cancer diagnosis as a first approach. To fulfil this objective, three important dHS-SPME experimental parameters that influence extraction efficiency (fibre coating, extraction time and temperature of sampling) were optimised using a univariate optimisation design. The highest extraction efficiency was obtained when sampling was performed at 501C for 60min using samples with high ionic strengths (17% sodium chloride, wv 1) and under agitation. RESULTS: A total of 82 volatile metabolites belonging to distinct chemical classes were identified in the control and oncological groups. Benzene derivatives, terpenoids and phenols were the most common classes for the oncological group, whereas ketones and sulphur compounds were the main classes that were isolated from the urine headspace of healthy subjects. The results demonstrate that compound concentrations were dramatically different between cancer patients and healthy volunteers. The positive rates of 16 patients among the 82 identified were found to be statistically different (Po0.05). A significant increase in the peak area of 2-methyl3-phenyl-2-propenal, p-cymene, anisole, 4-methyl-phenol and 1,2-dihydro-1,1,6-trimethyl-naphthalene in cancer patients was observed. On average, statistically significant lower abundances of dimethyl disulphide were found in cancer patients. CONCLUSIONS: Gas chromatographic peak areas were submitted to multivariate analysis (principal component analysis and supervised linear discriminant analysis) to visualise clusters within cases and to detect the volatile metabolites that are able to differentiate cancer patients from healthy individuals. Very good discrimination within cancer groups and between cancer and control groups was achieved.

Solid phase microextraction, mass spectrometry and metabolomic approaches for detection of potential urinary cancer biomarkers: a powerful strategy for breast cancer diagnosis

A sensitive assay to identify volatile organic metabolites (VOMs) as biomarkers that can accurately diagnose the onset of breast cancer using non-invasively collected clinical specimens is ideal for early detection. Therefore the aim of this study was to establish the urinary metabolomic profile of breast cancer patients and healthy individuals (control group) and to explore the VOMs as potential biomarkers in breast cancer diagnosis at early stage. Solid-phase microextraction (SPME) using CAR/PDMS sorbent combined with gas chromatography–mass spectrometry was applied to obtain metabolomic information patterns of 26 breast cancer patients and 21 healthy individuals (controls). A total of seventy-nine VOMs, belonging to distinct chemical classes, were detected and identified in control and breast cancer groups. Ketones and sulfur compounds were the chemical classes with highest contribution for both groups. Results showed that excretion values of 6 VOMs among the total of 79 detected were found to be statistically different (p < 0.05). A significant increase in the peak area of (−)-4-carene, 3-heptanone, 1,2,4-trimethylbenzene, 2-methoxythiophene and phenol, in VOMs of cancer patients relatively to controls was observed. Statiscally significant lower abundances of dimethyl disulfide were found in cancer patients. Bioanalytical data were submitted to multivariate statistics [principal component analysis (PCA)], in order to visualize clusters of cases and to detect the VOMs that are able to differentiate cancer patients from healthy individuals. Very good discrimination within breast cancer and control groups was achieved. Nevertheless, a deep study using a larger number of patients must be carried out to confirm the results.

Identification of noninvasive biomarkers for alcohol-induced liver disease using urinary metabolomics and the Ppara-null mouse

Alcohol-induced liver disease (ALD) is a leading cause of nonaccident-related deaths in the United States. Although liver damage caused by ALD is reversible when discovered at the earlier stages, current risk assessment tools are relatively nonspecific. Identification of an early specific signature of ALD would aid in therapeutic intervention and recovery. In this study, the metabolic changes associated with ALD were examined using alcohol-fed male Ppara-null mouse as a model of ALD. Principal components analysis of the mass spectrometry-based urinary metabolic profile showed that alcohol-treated wild-type and Ppara-null mice could be distinguished from control animals without information on history of alcohol consumption. The urinary excretion of ethyl-sulfate, ethyl-beta-d-glucuronide, 4-hydroxyphenylacetic acid, and 4-hydroxyphenylacetic acid sulfate was elevated and that of the 2-hydroxyphenylacetic acid, adipic acid, and pimelic acid was depleted during alcohol treatment in both wild-type and the Ppara-null mice albeit to different extents. However, indole-3-lactic acid was exclusively elevated by alcohol exposure in Ppara-null mice. The elevation of indole-3-lactic acid is mechanistically related to the molecular events associated with development of ALD in alcohol-treated Ppara-null mice. This study demonstrated the ability of a metabolomics approach to identify early, noninvasive biomarkers of ALD pathogenesis in Ppara-null mouse model.

Urinary porphyrins as biomarkers for arsenic exposure among susceptible populations in Guizhou Province, China

Coal is widely used in PR China. Unfortunately, coal from some areas in Guizhou Province contains elevated levels of arsenic. This has caused arsenicosis in individuals who use arsenic-contaminated coal for the purposes of heating, cooking and drying of food in poorly ventilated dwellings. The population at risk has been estimated to be approximately 200,000 people. Clinical symptoms of arsenicosis may include changes of skin pigmentation, hyperkeratosis of hand and feet, skin cancers, liver damage, persistent cough and chronic bronchitis. We analyzed the porphyrin excretion profile using a HPLC method in urine samples collected from 113 villagers who lived in Xing Ren district, a coal-bome arsenicosis endemic area and from 30 villagers from Xing Yi where arsenicosis is not prevalent. Urinary porphyrins were higher in the arsenic exposed group than those in the control group. The correlation between urinary arsenic and porphyrin concentrations demonstrated the effect of arsenic on heme biosynthesis resulting in increased porphyrin excretion. Both uroporphyrin and coproporphyrin III showed significant increases in the excretion profile of the younger age (< 20 years) arsenic-exposed group, suggesting that porphyrins could be used as early warning biomarkers of chronic arsenic exposure in humans. Greater increases of urinary arsenic and porphyrins in women, children and older age groups who spend much of their time indoors suggest that they might be at a higher risk. Whether elevated porphyrins could predict adverse health effects associated with both cancer and non-cancer end-points in chronically arsenic-exposed populations need further investigation. (c) 2005 Elsevier Inc. All rights reserved.

Urinary proteomic biomarkers in coronary artery disease

Urinary proteomics is emerging as a powerful non-invasive tool for diagnosis and monitoring of variety of human diseases. We tested whether signatures of urinary polypeptides can contribute to the existing biomarkers for coronary artery disease (CAD). We examined a total of 359 urine samples from 88 patients with severe CAD and 282 controls. Spot urine was analyzed using capillary electrophoresis on-line coupled to ESI-TOF-MS enabling characterization of more than 1000 polypeptides per sample. In a first step a "training set" for biomarker definition was created. Multiple biomarker patterns clearly distinguished healthy controls from CAD patients, and we extracted 15 peptides that define a characteristic CAD signature panel. In a second step, the ability of the CAD-specific panel to predict the presence of CAD was evaluated in a blinded study using a "test set." The signature panel showed sensitivity of 98% (95% confidence interval, 88.7-99.6) and 83% specificity (95% confidence interval, 51.6-97.4). Furthermore the peptide pattern significantly changed toward the healthy signature correlating with the level of physical activity after therapeutic intervention. Our results show that urinary proteomics can identify CAD patients with high confidence and might also play a role in monitoring the effects of therapeutic interventions. The workflow is amenable to clinical routine testing suggesting that non-invasive proteomics analysis can become a valuable addition to other biomarkers used in cardiovascular risk assessment.

Urinary biomolecular indicators of exercise-induced over exertion injury

Poor health and injury represent major obstacles to the future economic security of Australia. The national economic cost of work-related injury is estimated at $57.5 billion p/a. Since exposure to high physical demands is a major risk factor for musculoskeletal injury, monitoring and managing such physical activity levels in workers is a potentially important injury prevention strategy. Current injury monitoring practices are inadequate for the provision of clinically valuable information about the tissue specific responses to physical exertion. Injury of various soft tissue structures can manifest over time through accumulation of micro-trauma. Such micro-trauma has a propensity to increase the risk of acute injuries to soft-tissue structures such as muscle or tendon. As such, the capacity to monitor biomarkers that result from the disruption of these tissues offers a means of assisting the pre-emptive management of subclinical injury prior to acute failure or for evaluation of recovery processes. Here we have adopted an in-vivo exercise induced muscle damage model allowing the application of laboratory controlled conditions to assist in uncovering biochemical indicators associated with soft-tissue trauma and recovery. Importantly, urine was utilised as the diagnostic medium since it is non-invasive to collect, more acceptable to workers and less costly to employers. Moreover, it is our hypothesis that exercise induced tissue degradation products enter the circulation and are subsequently filtered by the kidney and pass through to the urine. To test this hypothesis a range of metabolomic and proteomic discovery-phase techniques were used, along with targeted approaches. Several small molecules relating to tissue damage were identified along with a series of skeletal muscle-specific protein fragments resulting from exercise induced soft-tissue damage. Each of the potential biomolecular markers appeared to be temporally present within urine. Moreover, the regulation of abundance seemed to be associated with functional recovery following the injury. This discovery may have important clinical applications for monitoring of a variety of inflammatory myopathies as well as novel applications in monitoring of the musculoskeletal health status of workers, professional athletes and/or military personnel to reduce the onset of potentially debilitating musculoskeletal injuries within these professions.