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1.
Neurobiol Dis ; 177: 105987, 2023 02.
Artículo en Inglés | MEDLINE | ID: mdl-36603748

RESUMEN

Extracellular vesicles (EVs) have been proposed to regulate the deposition of Aß. Multiple publications have shown that APP, amyloid processing enzymes and Aß peptides are associated with EVs. However, very little Aß is associated with EVs compared with the total amount Aß present in human plasma, CSF, or supernatants from cultured neurons. The involvement of EVs has largely been inferred by pharmacological inhibition or whole body deletion of the sphingomyelin hydrolase neutral sphingomyelinase-2 (nSMase2) that is a key regulator for the biogenesis of at-least one population of EVs. Here we used a Cre-Lox system to selectively delete nSMase2 from pyramidal neurons in APP/PS1 mice (APP/PS1-SMPD3-Nex1) and found a âˆ¼ 70% reduction in Aß deposition at 6 months of age and âˆ¼ 35% reduction at 12 months of age in both cortex and hippocampus. Brain ceramides were increased in APP/PS1 compared with Wt mice, but were similar to Wt in APP/PS1-SMPD3-Nex1 mice suggesting that elevated brain ceramides in this model involves neuronally expressed nSMase2. Reduced levels of PSD95 and deficits of long-term potentiation in APP/PS1 mice were normalized in APP/PS1-SMPD3-Nex1 mice. In contrast, elevated levels of IL-1ß, IL-8 and TNFα in APP/PS1 mice were not normalized in APP/PS1-SMPD3-Nex1 mice compared with APP/PS1 mice. Mechanistic studies showed that the size of liquid ordered membrane microdomains was increased in APP/PS1 mice, as were the amounts of APP and BACE1 localized to these microdomains. Pharmacological inhibition of nSMase2 activity with PDDC reduced the size of the liquid ordered membrane microdomains, reduced the localization of APP with BACE1 and reduced the production of Aß1-40 and Aß1-42. Although inhibition of nSMase2 reduced the release and increased the size of EVs, very little Aß was associated with EVs in all conditions tested. We also found that nSMase2 directly protected neurons from the toxic effects of oligomerized Aß and preserved neural network connectivity despite considerable Aß deposition. These data demonstrate that nSMase2 plays a role in the production of Aß by stabilizing the interaction of APP with BACE1 in liquid ordered membrane microdomains, and directly protects neurons from the toxic effects of Aß. The effects of inhibiting nSMase2 on EV biogenesis may be independent from effects on Aß production and neuronal protection.


Asunto(s)
Enfermedad de Alzheimer , Ratones , Humanos , Animales , Secretasas de la Proteína Precursora del Amiloide , Ratones Transgénicos , Ácido Aspártico Endopeptidasas , Péptidos beta-Amiloides , Neuronas , Precursor de Proteína beta-Amiloide/genética , Presenilina-1 , Modelos Animales de Enfermedad , Esfingomielina Fosfodiesterasa/genética
2.
Biosens Bioelectron ; 151: 111975, 2020 Mar 01.
Artículo en Inglés | MEDLINE | ID: mdl-31999582

RESUMEN

Central chemoreception is the process whereby the brainstem senses blood gas levels and adjusts homeostatic functions such as breathing and cardiovascular tone accordingly. Rodent evidence suggests that the retrotrapezoid nucleus (RTN) is a master regulator of central chemoreception, in particular, through direct sensation of acidosis induced by CO2 levels. The oscillatory dynamics caused by pH changes as sensed by the RTN surface and its relationship to the fluctuations in cation flux is not clearly understood due to the current limitations of electrophysiology tools and this article presents our investigations to address this need. A cation selective sensor fabricated from polypyrrole doped with dodecyl benzenesulfonate (PPy (DBS)) is placed over RTN in an ex-vivo en bloc brain and changes in cation concentration in the diffusion limited region above the RTN is measured due to changes in externally imposed basal pH. The novelty of this technique lies in its feasibility to detect cation fluxes from the cells in the RTN region without having to access either sides of the cell membrane. Owing to the placement of the sensor in close proximity to the tissue, we refer to this technique as near-field electrophysiology. It is observed that lowering the pH in the physiological range (7.4-7.2) results in a significant increase in cation concentration in the vicinity of RTN with a median value of ~5 µM. The utilization of such quantifiable measurement techniques to detect sub-threshold brain activity may help provide a platform for future neural network architectures. Findings from this paper present a quantifiable, sensitive, and robust electrophysiology technique with minimal damage to the underlying tissue.


Asunto(s)
Técnicas Biosensibles , Cationes/aislamiento & purificación , Fenómenos Electrofisiológicos , Adenosina Trifosfato/química , Dióxido de Carbono/química , Cationes/química , Núcleo Celular/química , Humanos , Concentración de Iones de Hidrógeno
3.
Biosens Bioelectron ; 169: 112618, 2020 Dec 01.
Artículo en Inglés | MEDLINE | ID: mdl-33007616

RESUMEN

We report a minimally invasive, synaptic transistor-based construct to monitor in vivo neuronal activity via a longitudinal study in mice and use depolarization time from measured data to predict the onset of polyneuropathy. The synaptic transistor is a three-terminal device in which ionic coupling between pre- and post-synaptic electrodes provides a framework for sensing low-power (sub µW) and high-bandwidth (0.1-0.5 kHz) ionic currents. A validated first principles-based approach is discussed to demonstrate the significance of this sensing framework and we introduce a metric, referred to as synaptic efficiency to quantify structural and functional properties of the electrodes in sensing. The application of this framework for in vivo neuronal sensing requires a post-synaptic electrode and its reference electrode and the tissue becomes the pre-synaptic signal. The ionic coupling resembles axo-axonic junction and hence we refer to this framework as an ad hoc synaptic junction. We demonstrate that this arrangement can be applied to measure excitability of sciatic nerves due to a stimulation of the footpad in cohorts of m+/db and db/db mice for detecting loss in sensitivity and onset of polyneuropathy. The signal attributes were subsequently integrated with machine learning-based framework to identify the probability of polyneuropathy and to detect the onset of diabetic polyneuropathy.


Asunto(s)
Técnicas Biosensibles , Diabetes Mellitus , Neuropatías Diabéticas , Animales , Axones , Neuropatías Diabéticas/diagnóstico , Estudios Longitudinales , Ratones , Sinapsis
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