Effect of environmental toxicants on neuronal functions

Sharma, Supriya; Wakode, Sharad; Sharma, Avadhesh C.; Nair, Nisha; Dhobi, Mahaveer; Wani, Mushtaq Ahmad; Pottoo, Faheem Hyder

doi:10.1007/s11356-020-10950-6

Cited by 32 publications

(25 citation statements)

References 203 publications

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“…Previous reports have suggested a potential relationship between the aluminum-induced neurotoxicity and the physiopathology of AD [ 4 , 7 , 8 ]. This can be related to the increase in the use of aluminum containing drugs (such as antacids and vaccine adjuvants) and food additives; resulting to increase the amount of Al exposed to the body.…”

Section: Discussionmentioning

confidence: 99%

“…Our results showed that chronic exposure to aluminum chloride induced a significant loss of body and hippocampi weights. This result is due to the general toxicity of AlCl 3 and its accumulation in the brain [ 4 , 8 ]. Interestingly, co-treatment with 100 mg/kg of CUR significantly restores body and organ weights.…”

Section: Discussionmentioning

confidence: 99%

“…The etiology of AD has not been totally discovered yet; however, both genetic and environmental factors have been shown to play a vital role [ 2 ]. Numerous lines of evidence showed that aluminum (Al), as an environmental toxin, could act as a causative factor for AD development [ 3 , 4 ]. In fact, aluminum possesses a neuro/cholinotoxin-like effect that affect neuronal structure [ 5 , 6 ], blood–brain barrier (BBB) permeability and the cholinergic/noradrenergic neurotransmission [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…Several studies showed that the exposure to solid form (such as aluminum chloride) and its decomposed form (ion metal Al 3+ ) could: (i) alter BBB, (ii) affect the axonal transports and (iii) induce inflammatory responses as well as synaptic structural abnormalities, resulting in profound memory loss [ 4 , 7 , 8 , 9 ]. Additionally, the metal ions Al 3+ accelerate the dynamic process of Aβ aggregation, thus enhancing the neurotoxicity on the neuronal cells, as a consequence of marked alterations of biophysical properties of Aβ peptide which leads to its accumulation in the cortex and the hippocampus [ 4 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

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Curcumin Attenuated Neurotoxicity in Sporadic Animal Model of Alzheimer’s Disease

et al. 2021

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Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases leading to dementia. Despite research efforts, currently there are no effective pharmacotherapeutic options for the prevention and treatment of AD. Recently, numerous studies highlighted the beneficial effects of curcumin (CUR), a natural polyphenol, in the neuroprotection. Especially, its dual antioxidant and anti-inflammatory properties attracted the interest of researchers. In fact, besides its antioxidant and anti-inflammatory properties, this biomolecule is not degraded in the intestinal tract. Additionally, CUR is able to cross the blood–brain barrier and could therefore to be used to treat neurodegenerative pathologies associated with oxidative stress, inflammation and apoptosis. The present study aimed to assess the ability of CUR to induce neuronal protective and/or recovery effects on a rat model of neurotoxicity induced by aluminum chloride (AlCl3), which mimics the sporadic form of Alzheimer’s disease. Our results showed that treatment with CUR enhances pro-oxidant levels, antioxidant enzymes activities and anti-inflammatory cytokine production and decreases apoptotic cells in AlCl3-exposed hippocampus rats. Additionally, histopathological analysis of hippocampus revealed the potential of CUR in decreasing the hallmarks in the AlCl3-induced AD. We also showed that CUR post-treatment significantly improved the behavioral, oxidative stress and inflammation in AlCl3-exposed rats. Taken together, our data presented CUR as a nutraceutical potential through its protective effects that are more interesting than recovery ones in sporadic model of AD.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Curcumin Attenuated Neurotoxicity in Sporadic Animal Model of Alzheimer’s Disease

et al. 2021

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“…They perceive that most models are not deployed enough to show their real-world operation, although there is ample space for them to impact the pandemic. For instance, Sharma 11 employ Convolutional Neural Networks (CNN) to infer the results of quantitative reverse-transcription polymerase chain reaction (qRT-PCR) molecular test out of lung Computer Tomographies (CT) scans, employing 618 images of healthy people (175), patients with influenza-A pneumonia (224) and patients infected with COVID-19 (219 images). Similarly, Mei et al .…”

Section: Related Literaturementioning

confidence: 99%

Data-Driven Inference of COVID-19 Clinical Prognosis

Salas

Pulido

Montoya

et al. 2020

Preprint

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Knowing the most likely clinical prognosis for a patient infected with SARS-Cov-2 could offer guidelines for tracking their medical evolution, improving attention, and assigning resources. Aiming to assess a patient's status quantitatively, we explore the analysis of existing clinical information using data-driven methods. Our goal is to extract the characteristics distinguishing between those COVID-19 patients that improve and those who die. In our approach, we select the relevant features using the algorithm of Boruta, a wrapper framework that takes input from classifiers generating relevance assessment of the predictors. Using the extracted features, we train machine learning classifiers, including Random Forests, Support Vector Machine, Extreme Gradient Boosting, and Neural Networks. We assess the performance of the classifiers using Precision-Recall and ROC analysis, establishing the ranges at which risk assessment permits effective decision-making. Our research highlights that local regions present unique sets of essential features, that it is possible to construct effective classifiers based on clinical data, and that an ensemble of classifiers results in the best performing discriminant.

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Thinner inner retinal layers are associated with lower cognitive performance, lower brain volume, and altered white matter network structure—The Maastricht Study

van der Heide,

Steens,

Limmen

et al. 2023

Alzheimer's & Dementia

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IntroductionThe retina may provide non‐invasive, scalable biomarkers for monitoring cerebral neurodegeneration.MethodsWe used cross‐sectional data from The Maastricht study (n = 3436; mean age 59.3 years; 48% men; and 21% with type 2 diabetes [the latter oversampled by design]). We evaluated associations of retinal nerve fiber layer, ganglion cell layer, and inner plexiform layer thicknesses with cognitive performance and magnetic resonance imaging indices (global grey and white matter volume, hippocampal volume, whole brain node degree, global efficiency, clustering coefficient, and local efficiency).ResultsAfter adjustment, lower thicknesses of most inner retinal layers were significantly associated with worse cognitive performance, lower grey and white matter volume, lower hippocampal volume, and worse brain white matter network structure assessed from lower whole brain node degree, lower global efficiency, higher clustering coefficient, and higher local efficiency.DiscussionThe retina may provide biomarkers that are informative of cerebral neurodegenerative changes in the pathobiology of dementia.

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Effect of environmental toxicants on neuronal functions

Cited by 32 publications

References 203 publications

Curcumin Attenuated Neurotoxicity in Sporadic Animal Model of Alzheimer’s Disease

Curcumin Attenuated Neurotoxicity in Sporadic Animal Model of Alzheimer’s Disease

Data-Driven Inference of COVID-19 Clinical Prognosis

Thinner inner retinal layers are associated with lower cognitive performance, lower brain volume, and altered white matter network structure—The Maastricht Study

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