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1.
J Anat ; 221(2): 138-50, 2012 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-22640462

RESUMO

Glucose transport plays an important role in maintaining low sugar concentration in airway surface liquid (ASL), which is critical for mucociliary clearance and bacterial colonization. Experimental evidence indicates that glucose/hexose uptake in lung/airway cells occurs by means of two structurally distinct glucose transporter pathways: the Na(+) -dependent glucose transporters (SGLT family) and the facilitative glucose transporters (GLUT family). In this study, we examined the expression of the major glucose transporters of the intestine, GLUT2, GLUT5, SGLT1 and T1R3 taste receptor subunit, in the trachea of rats using immunohistochemistry and immunoelectron microscopy, and compared them using double-labeled confocal microscopy. We found that GLUT2, GLUT5, SGLT1 and T1R3 are selectively expressed in different cell types. T1R3 and GLUT2 are predominantly expressed in subsets of solitary chemoreceptor cells (SCCs) and ciliated cells, GLUT5 is present in subsets of SCCs and in secretory cells, and SGLT1 is exclusively expressed in a unique cell type, SCCs. Furthermore, we demonstrated that T1R3 is colocalized with SGLT1 in SCCs and with GLUT2 transporter in ciliated cells. In conclusion, these findings reveal that different cell types are associated with the uptake of glucose in ASL and that, due to their T1R3 expression, SCCs and ciliated cells are most likely to participate in the chemosensory process in ASL.


Assuntos
Epitélio/metabolismo , Proteínas Facilitadoras de Transporte de Glucose/metabolismo , Receptores Acoplados a Proteínas G/metabolismo , Transportador 1 de Glucose-Sódio/metabolismo , Traqueia/metabolismo , Animais , Imuno-Histoquímica , Masculino , Ratos , Ratos Wistar , Traqueia/citologia
2.
J Neurol ; 261(8): 1606-13, 2014 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-24912471

RESUMO

Despite that cognitive impairment is a known early feature present in multiple sclerosis (MS) patients, the biological substrate of cognitive deficits in MS remains elusive. In this study, we assessed whether T1 relaxometry, as obtained in clinically acceptable scan times by the recent Magnetization Prepared 2 Rapid Acquisition Gradient Echoes (MP2RAGE) sequence, may help identifying the structural correlate of cognitive deficits in relapsing-remitting MS patients (RRMS). Twenty-nine healthy controls (HC) and forty-nine RRMS patients underwent high-resolution 3T magnetic resonance imaging to obtain optimal cortical lesion (CL) and white matter lesion (WML) count/volume and T1 relaxation times. T1 z scores were then obtained between T1 relaxation times in lesion and the corresponding HC tissue. Patient cognitive performance was tested using the Brief Repeatable Battery of Neuro-psychological Tests. Multivariate analysis was applied to assess the contribution of MRI variables (T1 z scores, lesion count/volume) to cognition in patients and Bonferroni correction was applied for multiple comparison. T1 z scores were higher in WML (p < 0.001) and CL-I (p < 0.01) than in the corresponding normal-appearing tissue in patients, indicating relative microstructural loss. (1) T1 z scores in CL-I (p = 0.01) and the number of CL-II (p = 0.04) were predictors of long-term memory; (2) T1 z scores in CL-I (ß = 0.3; p = 0.03) were independent determinants of long-term memory storage, and (3) lesion volume did not significantly influenced cognitive performances in patients. Our study supports evidence that T1 relaxometry from MP2RAGE provides information about microstructural properties in CL and WML and improves correlation with cognition in RRMS patients, compared to conventional measures of disease burden.


Assuntos
Transtornos Cognitivos/etiologia , Transtornos Cognitivos/patologia , Esclerose Múltipla Recidivante-Remitente/complicações , Substância Branca/patologia , Adulto , Transtornos de Ansiedade/etiologia , Feminino , Humanos , Processamento de Imagem Assistida por Computador , Imageamento por Ressonância Magnética , Masculino , Pessoa de Meia-Idade , Testes Neuropsicológicos , Escalas de Graduação Psiquiátrica , Análise de Regressão , Estatísticas não Paramétricas
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