bp(MESH:"Cell Survival")
The explanation proposed by the authors is that alpha7 nAChR activation through nicotine binding could promote survival pathways and recover the synaptic damage caused by Abeta (Inestrosa et al., 2013) PubMed:25514383
On the other hand, an opposite effect was shown with Abeta-nAChR interaction being responsible for inhibition of survival pathways PubMed:25514383
As with nicotine, the weak alpha7 nAChR agonist GTS-21 is neuroprotective, specifically protecting against Abeta1–42-elicited neurotoxicity154. This effect is probably due to small, protracted increases in receptor-mediated Ca2+ influx. importantly, high concentrations of GTS-21 reduced cell survival, underlining the possible risk of over-stimulation152 PubMed:19721446
but ACh is also released by non-neuronal tissues where it is involved in cell-to-cell communication, and con- trols essential functions such as cell proliferation, adhesion, migration, secretion, survival and apoptosis, in an autocrine, paracrine or juxtacrine manner PubMed:28901280
α7-containing receptors are expressed in neurons and non-excitable cells in order to mediate pro-proliferative, sur- vival and anti-inflammatory signalling. PubMed:28901280
At longer incubation times (48 and 96 h) ADDLs caused a progressive decrease in MTT reduction (Fig. 1B), which can be due to altered trafficking (Liu et al., 1998) as well as cell death. PubMed:17403556
NFT containing neurons upregulated genes involved in cell survival and viability, inflammation, cell cycle progression and molecular transport and downregulated apoptosis, necrosis and cell death pathways (Figure 1a). NFkB, a pro-survival master transcriptional regulator of inflammation, was the highest predicted upstream regulator of the NFT-gene expression profile. In agreement with inflammatory activation, other predicted upstream regulators included IFNG, TNF, TLR4, IL1B and CXCL1 (Figure 1b) PubMed:30126037
Transcriptomic analyses of NFT-containing neurons microdissected from postmortem AD brain revealed an expression profile consistent with cellular senescence. This complex stress response induces aberrant cell cycle activity, adaptations to maintain survival, cellular remodeling, and metabolic dysfunction PubMed:30126037
This complex stress response induces a near permanent cell cycle arrest, adaptations to maintain survival, cellular remodeling, metabolic dysfunction and disruption to surrounding tissue to the secretion of toxic molecules (Childs et al., 2016) PubMed:30126037
NFkB regulates the pro-survival, pro-inflammatory SASP gene expression profile characteristic of cellular senescence (Salminen & Kaarniranta, 2011) PubMed:30126037
NFkB regulates the pro-survival, pro-inflammatory SASP gene expression profile characteristic of cellular senescence (Salminen & Kaarniranta, 2011) PubMed:30126037
Oligomeric tau intermediates decrease cell viability (Flach et al., 2012) PubMed:28420982
Whereas at the doses of 3, 4, and 5 μM, heme significantly reduced the viability of cells, which was in agreement with an earlier study [1]. PubMed:30324533
The result showed that cell viability loss in a GO dose-dependent manner, and 1.5 mU mL−1 GO induced approximately 15% cell death after 24 h of treatment (Fig. 2b). PubMed:30324533
As illustrated in Fig. 2d, the loss of viability by heme/H2O2 and heme/H2O2/NO2 − was approximately 53 ± 3.8% and 65 ± 4.5%, respectively, which further confirmed that NO2 − dramatically enhances heme/ H2O2 toxicity.This result is well consistent with previous reports [3, 13]. PubMed:30324533
As illustrated in Fig. 2d, the loss of viability by heme/H2O2 and heme/H2O2/NO2 − was approximately 53 ± 3.8% and 65 ± 4.5%, respectively, which further confirmed that NO2 − dramatically enhances heme/ H2O2 toxicity.This result is well consistent with previous reports [3, 13]. PubMed:30324533
As shown in Fig. 2d, heme/H2O2/ NO2−-induced loss of cell viability was significantly attenuated by BSA or BSA-T pretreatment, and BSA was more effective than BSA-T. PubMed:30324533
As shown in Fig. 2d, heme/H2O2/ NO2−-induced loss of cell viability was significantly attenuated by BSA or BSA-T pretreatment, and BSA was more effective than BSA-T. PubMed:30324533
but ACh is also released by non-neuronal tissues where it is involved in cell-to-cell communication, and con- trols essential functions such as cell proliferation, adhesion, migration, secretion, survival and apoptosis, in an autocrine, paracrine or juxtacrine manner PubMed:28901280
NFkB regulates the pro-survival, pro-inflammatory SASP gene expression profile characteristic of cellular senescence (Salminen & Kaarniranta, 2011) PubMed:30126037
Whereas at the doses of 3, 4, and 5 μM, heme significantly reduced the viability of cells, which was in agreement with an earlier study [1]. PubMed:30324533
The result showed that cell viability loss in a GO dose-dependent manner, and 1.5 mU mL−1 GO induced approximately 15% cell death after 24 h of treatment (Fig. 2b). PubMed:30324533
As illustrated in Fig. 2d, the loss of viability by heme/H2O2 and heme/H2O2/NO2 − was approximately 53 ± 3.8% and 65 ± 4.5%, respectively, which further confirmed that NO2 − dramatically enhances heme/ H2O2 toxicity.This result is well consistent with previous reports [3, 13]. PubMed:30324533
As illustrated in Fig. 2d, the loss of viability by heme/H2O2 and heme/H2O2/NO2 − was approximately 53 ± 3.8% and 65 ± 4.5%, respectively, which further confirmed that NO2 − dramatically enhances heme/ H2O2 toxicity.This result is well consistent with previous reports [3, 13]. PubMed:30324533
As shown in Fig. 2d, heme/H2O2/ NO2−-induced loss of cell viability was significantly attenuated by BSA or BSA-T pretreatment, and BSA was more effective than BSA-T. PubMed:30324533
As shown in Fig. 2d, heme/H2O2/ NO2−-induced loss of cell viability was significantly attenuated by BSA or BSA-T pretreatment, and BSA was more effective than BSA-T. PubMed:30324533
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If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.