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1.
Neurotoxicology ; 64: 60-67, 2018 01.
Artículo en Inglés | MEDLINE | ID: mdl-28803850

RESUMEN

OBJECTIVE: Magnetic resonance spectroscopy (MRS) is a non-invasive method to quantify neurometabolite concentrations in the brain. Within the framework of the WELDOX II study, we investigated the association of exposure to manganese (Mn) and iron (Fe) with γ-aminobutyric acid (GABA) and other neurometabolites in the striatum and thalamus of 154 men. MATERIAL AND METHODS: GABA-edited and short echo-time MRS at 3T was used to assess brain levels of GABA, glutamate, total creatine (tCr) and other neurometabolites. Volumes of interest (VOIs) were placed into the striatum and thalamus of both hemispheres of 47 active welders, 20 former welders, 36 men with Parkinson's disease (PD), 12 men with hemochromatosis (HC), and 39 male controls. Linear mixed models were used to estimate the influence of Mn and Fe exposure on neurometabolites while simultaneously adjusting for cerebrospinal fluid (CSF) content, age and other factors. Exposure to Mn and Fe was assessed by study group, blood concentrations, relaxation rates R1 and R2* in the globus pallidus (GP), and airborne exposure (active welders only). RESULTS: The median shift exposure to respirable Mn and Fe in active welders was 23µg/m3 and 110µg/m3, respectively. Airborne exposure was not associated with any other neurometabolite concentration. Mn in blood and serum ferritin were highest in active and former welders. GABA concentrations were not associated with any measure of exposure to Mn or Fe. In comparison to controls, tCr in these VOIs was lower in welders and patients with PD or HC. Serum concentrations of ferritin and Fe were associated with N-acetylaspartate, but in opposed directions. Higher R1 values in the GP correlated with lower neurometabolite concentrations, in particular tCr (exp(ß)=0.87, p<0.01) and choline (exp(ß)=0.84, p=0.04). R2* was positively associated with glutamate-glutamine and negatively with myo-inositol. CONCLUSIONS: Our results do not provide evidence that striatal and thalamic GABA differ between Mn-exposed workers, PD or HC patients, and controls. This may be due to the low exposure levels of the Mn-exposed workers and the challenges to detect small changes in GABA. Whereas Mn in blood was not associated with any neurometabolite content in these VOIs, a higher metal accumulation in the GP assessed with R1 correlated with generally lower neurometabolite concentrations.


Asunto(s)
Cuerpo Estriado/metabolismo , Hierro/metabolismo , Manganeso/metabolismo , Exposición Profesional , Tálamo/metabolismo , Soldadura , Ácido gamma-Aminobutírico/metabolismo , Contaminantes Ocupacionales del Aire/metabolismo , Cuerpo Estriado/diagnóstico por imagen , Creatina/metabolismo , Ácido Glutámico/metabolismo , Humanos , Espectroscopía de Resonancia Magnética , Masculino , Persona de Mediana Edad , Tálamo/diagnóstico por imagen
2.
PLoS One ; 7(9): e45305, 2012.
Artículo en Inglés | MEDLINE | ID: mdl-23028920

RESUMEN

BACKGROUND: Radon and arsenic are established pulmonary carcinogens. We investigated the association of cumulative exposure to these carcinogens with NOTCH1, HIF1A and other cancer-specific proteins in lung tissue from uranium miners. METHODOLOGY/PRINCIPAL FINDINGS: Paraffin-embedded tissue of 147 miners was randomly selected from an autopsy repository by type of lung tissue, comprising adenocarcinoma (AdCa), squamous cell carcinoma (SqCC), small cell lung cancer (SCLC), and cancer-free tissue. Within each stratum, we additionally stratified by low or high level of exposure to radon or arsenic. Lifetime exposure to radon and arsenic was estimated using a quantitative job-exposure matrix developed for uranium mining. For 22 cancer-related proteins, immunohistochemical scores were calculated from the intensity and percentage of stained cells. We explored the associations of these scores with cumulative exposure to radon and arsenic with Spearman rank correlation coefficients (r(s)). Occupational exposure was associated with an up-regulation of NOTCH1 (radon r(s) = 0.18, 95% CI 0.02-0.33; arsenic: r(s) = 0.23, 95% CI 0.07-0.38). Moreover, we investigated whether these cancer-related proteins can classify lung cancer using supervised and unsupervised classification. MUC1 classified lung cancer from cancer-free tissue with a failure rate of 2.1%. A two-protein signature discriminated SCLC (HIF1A low), AdCa (NKX2-1 high), and SqCC (NKX2-1 low) with a failure rate of 8.4%. CONCLUSIONS/SIGNIFICANCE: These results suggest that the radiation-sensitive protein NOTCH1 can be up-regulated in lung tissue from uranium miners by level of exposure to pulmonary carcinogens. We evaluated a three-protein signature consisting of a physiological protein (MUC1), a cancer-specific protein (HIF1A), and a lineage-specific protein (NKX2-1) that could discriminate lung cancer and its major subtypes with a low failure rate.


Asunto(s)
Subunidad alfa del Factor 1 Inducible por Hipoxia/metabolismo , Neoplasias Pulmonares/metabolismo , Minería , Exposición Profesional/efectos adversos , Receptor Notch1/metabolismo , Uranio/toxicidad , Adenocarcinoma/inducido químicamente , Adenocarcinoma/metabolismo , Anciano , Anciano de 80 o más Años , Carcinoma de Células Escamosas/inducido químicamente , Carcinoma de Células Escamosas/metabolismo , Humanos , Inmunohistoquímica , Neoplasias Pulmonares/inducido químicamente , Neoplasias Pulmonares/clasificación , Masculino , Persona de Mediana Edad , Carcinoma Pulmonar de Células Pequeñas/inducido químicamente , Carcinoma Pulmonar de Células Pequeñas/metabolismo
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