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1.
Neuroreport ; 31(12): 857-864, 2020 08 12.
Artigo em Inglês | MEDLINE | ID: mdl-32453025

RESUMO

Chronic sleep loss caused lots of health problems, also including cognition impairment. Tea is one of the most popular drinks when people stay up late. Nevertheless, the effects of tea on sleep deprivation-induced cognition impairment are still unclear. In the present study, we found 24-h sleep deprivation (S-DEP) increased membrane α-amino-3-hydroxy-5-methyl-4-isoxa-zolep-propionate (AMPA) receptor level through a tumor necrosis factor α (TNFα)-dependent pathway in hippocampi. Blocking elevated TNFα level can protect S-DEP mice from impaired learning ability according to behavioral test. Tea polyphenols, major active compounds in green tea, suppressed TNFα production through downregulating TNFα converting enzyme (TACE) level. Meanwhile, tea polyphenols treatment could ameliorate recognition impairment and anxiety-like behaviors in S-DEP mice. The aforementioned results demonstrate cognition protective effects of tea polyphenols in S-DEP mice model, which provide a theoretical basis for the treatments of S-DEP-induced cognition impairment by targeting the TACE/TNFα/AMPA pathway.


Assuntos
Memória/efeitos dos fármacos , Polifenóis/farmacologia , Receptores de AMPA/efeitos dos fármacos , Privação do Sono/tratamento farmacológico , Chá , Animais , Disfunção Cognitiva/tratamento farmacológico , Disfunção Cognitiva/metabolismo , Modelos Animais de Doenças , Hipocampo/efeitos dos fármacos , Hipocampo/metabolismo , Camundongos , Substâncias Protetoras/farmacologia , Receptores de AMPA/metabolismo , Reconhecimento Psicológico/efeitos dos fármacos , Privação do Sono/metabolismo , Fator de Necrose Tumoral alfa/metabolismo
2.
Mar Pollut Bull ; 60(6): 852-60, 2010 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-20156628

RESUMO

In this paper, cluster analysis (CA), principal component analysis (PCA) and the fuzzy logic approach were employed to evaluate the trophic status of water quality for 12 monitoring stations in Daya Bay in 2003. CA grouped the four seasons into four groups (winter, spring, summer and autumn) and the sampling sites into two groups (cluster DA: S1, S2, S4-S7, S9 and S12 and cluster DB: S3, S8, S10 and S11). PCA identified the temporal and spatial characteristics of trophic status in Daya Bay. Cluster DB, with higher concentrations of TP and DIN, is located in the western and northern parts of Daya Bay. Cluster DA, with the low Secchi, is located in the southern and eastern parts of Daya Bay. The fuzzy logic approach revealed more information about the temporal and spatial patterns of the trophic status of water quality. Chlorophyll a, TP and Secchi may be major factors for deteriorating water quality.


Assuntos
Monitoramento Ambiental/métodos , Monitoramento Ambiental/estatística & dados numéricos , Água do Mar/química , Poluição da Água/análise , China , Clorofila/análise , Clorofila A , Análise por Conglomerados , Lógica Fuzzy , Geografia , Compostos de Nitrogênio/análise , Oceanos e Mares , Oxigênio/análise , Fósforo/análise , Análise de Componente Principal , Estações do Ano , Espectrofotometria Ultravioleta
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