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1.
Exp Eye Res ; 208: 108595, 2021 07.
Artículo en Inglés | MEDLINE | ID: mdl-34000276

RESUMEN

This study aimed to explore the effects of N-acetylserotonin (NAS) on the expression of interleukin-1ß (IL-1ß) in the retina of retinal ischemia-reperfusion injury (RIRI) rats via the toll-like receptor 4 (TLR4)/nuclear factor-kappa B (NF-κB)/nod-like receptor pyrin domain containing 3 (NLRP3) signaling pathway. In this study, adult male Sprague Dawley rats were randomly divided into the sham, RIRI, RIRI + NAS and RIRI + TAK-242 + NAS groups. The rats in the RIRI + NAS and RIRI + TAK-242 + NAS groups were intraperitoneally injected with NAS 30 min before and after modeling. TAK-242, a selective TLR4 inhibitor, was administered by intraperitoneal injection in RIRI + TAK-242 + NAS group. The RIRI rat model was established by elevating the intraocular pressure to 110 mmHg for 60 min. The retinal structure and edema were assessed by H&E staining. The expression levels of TLR4, phosphorylated NF-κB (p-NF-κB), NLRP3, cleaved Caspase-1, and IL-1ß in the retina of each group were detected using immunohistochemistry and Western blot. The correlations of the differences of TLR4+ and cleaved Caspase-1+ with IL-1ß+ cells (between the NAS and the RIRI groups) were analyzed, using linear regression in the RIRI + NAS group. Results showed that thinner retina, more RGCs, and less TLR4+, p-NF-κB+, NLRP3+, cleaved Caspase-1+, and IL-1ß+ cells in the retina were observed in the RIRI + NAS and RIRI + TAK-242 + NAS groups compared with the RIRI group 12 h after RIRI (all P < 0.01). Western blot analysis results showed that the expression of IL-1ß in the RIRI + NAS group began to increase 6 h after RIRI, and it reached a high level 12 h after RIRI, and then decreased. And it was lower at each time point in the RIRI + NAS group than in the RIRI group, and there existed significant difference (all P < 0.01). Besides, the expression levels of TLR4, p-NF-κB, NLRP3, and cleaved Caspase-1 proteins in the RIRI + NAS and RIRI + TAK-242 + NAS groups decreased 12 h after RIRI compared with those in the RIRI group (all P < 0.01). The difference in IL-1ß+ cells was significantly correlated with those of TLR4+ and cleaved Caspase-1+ cells in the RIRI + NAS group (r2 = 0.9054 or 0.7431, P < 0.01). In conclusion, NAS could attenuate the expression of IL-1ß by inhibiting the TLR4/NF-κB/NLRP3 signaling pathway, reduce the retina edema, and promote the survival of RGCs, thereby alleviating the retinal injury and exert its neuroprotective effect.


Asunto(s)
Interleucina-18/biosíntesis , Proteína con Dominio Pirina 3 de la Familia NLR/biosíntesis , Daño por Reperfusión/metabolismo , Enfermedades de la Retina/metabolismo , Serotonina/análogos & derivados , Receptor Toll-Like 4/biosíntesis , Animales , Modelos Animales de Enfermedad , Inmunohistoquímica , Inflamasomas/metabolismo , Masculino , Ratas , Ratas Sprague-Dawley , Daño por Reperfusión/tratamiento farmacológico , Daño por Reperfusión/patología , Enfermedades de la Retina/tratamiento farmacológico , Enfermedades de la Retina/patología , Serotonina/farmacología , Transducción de Señal/efectos de los fármacos
2.
Sensors (Basel) ; 19(9)2019 May 10.
Artículo en Inglés | MEDLINE | ID: mdl-31083381

RESUMEN

The cognitive wireless sensor network (CWSN) is an important development direction of wireless sensor networks (WSNs), and spectrum sensing technology is an essential prerequisite for CWSN to achieve spectrum sharing. However, the existing non-cooperative narrowband spectrum sensing technology has difficulty meeting the application requirements of CWSN at present. In this paper, we present a non-cooperative spectrum sensing algorithm for CWSN, which combines the multi-resolution technique, phase space reconstruction method, and singular spectrum entropy method to sense the spectrum of narrowband wireless signals. Simulation results validate that this algorithm can greatly improve the detection probability at a low signal-to-noise ratio (SNR) (from -19dB to -12dB), and the detector can quickly achieve the best detection performance as the SNR increases. This algorithm could promote the development of CWSN and the application of WSNs.

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