Diprivan attenuates the cytotoxicity of nitric oxide in cultured human bronchial epithelial cells

Huang, Chun Jen; Slovin, Paul N; Nielsen, R. B.; Skimming, Jeffrey W.

doi:10.1007/s00134-002-1380-9

Cited by 10 publications

(3 citation statements)

References 36 publications

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“…Alzheimer's disease (AD) is the most common cause for dementia and its prevalence continues to rise in ageing societies (1). Histologically, AD is characterized by pathological b-amyloid plaques and neurofibrillary tau deposits (2)(3)(4). In vivo characterization of corresponding imaging biomarkers have been strengthened in a currently published research framework (5).…”

Section: Introductionmentioning

confidence: 99%

Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease

et al. 2020

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Recently, imaging biomarkers have gained importance for the characterization of patients with Alzheimer's disease; however, the relationship between regional biomarker expression and cognitive function remains unclear. In our study, we investigated associations between scores on CERAD neuropsychological assessment battery (CERAD-NAB) subtests with regional glucose metabolism, cortical thickness and amyloid deposition in patients with early Alzheimer's disease (AD) using [18F]fluorodeoxyglucose (FDG), structural MRI, and 11C-Pittsburgh Compound B (PiB) positron emission tomography (PET), respectively. A total of 76 patients (mean age 68.4 ± 8.5 years, 57.9% male) with early AD (median global clinical dementia rating (CDR) score = 0.5, range: 0.5-2.0) were studied. Associations were investigated by correlation and multiple regression analyses. Scores on cognitive subtests were most closely predicted by regional glucose metabolism with explained variance up to a corrected R² of 0.518, followed by cortical thickness and amyloid deposition. Prediction of cognitive subtest performance was increased up to a corrected R² of 0.622 for Word List-Delayed Recall, when biomarker information from multiple regions and multiple modalities were included. For verbal, visuoconstructive and mnestic domains the closest associations with FDG-PET imaging were found in the left lateral temporal lobe, right parietal lobe, and posterior cingulate cortex, respectively. Decreased cortical thickness in parietal regions was most predictive of impaired subtest performance. Remarkably, cerebral amyloid deposition significantly predicted cognitive function in about half of the subtests but with smaller extent of variance explained (corrected R² ≤ 0.220). We conclude that brain metabolism and atrophy affect cognitive performance in a regionally distinct way.

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Section: Introductionmentioning

confidence: 99%

Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease

et al. 2020

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“…However, the phases of dementia must be identified for an accurate diagnosis. Ten to sixteen percent of people with MCI rapidly progress to AD per year [16], making it a severely impaired stage compared to AD. Stabilization or reversal to the healthy stage in MCI patients is extremely varied [33].…”

Section: Introductionmentioning

confidence: 99%

Dual Attention Aware Octave Convolution Network for Early-Stage Alzheimer's Disease Detection

Rangaraju,

Chinnadurai,

Natarajan

et al. 2024

ITC

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Some of the most fundamental human capabilities, including thought, speech, and movement, may be lost due to brain illnesses. The most prevalent form of dementia, Alzheimer's disease (AD), is caused by a steady decline in brain function and is now incurable. Despite the challenges associated with making a conclusive diagnosis of AD, the field has generally shifted toward making diagnoses justified by patient records and neurological analysis, such as MRI. Reports of studies utilizing machine learning for AD identification have increased in recent years. In this publication, we report the results of our most recent research. It details a deep learning-based, 3D brain MRI-based method for automated AD detection. As a result, deep learning models have become increasingly popular in recent years for analyzing medical images. To aid in detecting Alzheimer's disease at an initial phase, we suggest a dual attention-aware Octave convolution-based deep learning network (DACN). The three main parts of DACN are as follows: First, we use Patch Convolutional Neural Network (PCNN) to identify discriminative features within each MRI patch while simultaneously boosting the features of abnormally altered micro-structures in the brain; second, we use an Octave convolution to minimize the spatial redundancy and widen the field of perception of the brain's structure; and third, we use a dual attention aware convolution classifier to dissect the resulting depiction further. An outstanding test accuracy of 99.87% is reached for categorizing dementia phases by employing the suggested method in experiments on a publically available ADNI (Alzheimer's Disease Neuroimaging Initiative) dataset. The proposed model was more effective, efficient, and reliable than the state-of-the-art models through our comparisons.

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“…These disturbances are increased in conditions of hyperoxia and may lead to cell death. [1][2][3] Recently, it has been reported that anesthetic agents may offer some protection against such lesions induced by IR, and hence knowledge of the mechanisms involved may provide anesthesiologists with strategies to lower morbidity and improve patient survival. 4 Propofol, a highly lipid soluble hypnotic agent, has proven antioxidant activity in both in vitro and in vivo studies; this is based on the fact that its chemical structure is similar to that of a natural antioxidant: i.e., vitamin E. [5][6][7] In this sense, several studies have demonstrated that propofol acts as a scavenger of oxygen free radicals, decreasing lipid peroxidation and increasing the antioxidant capacity of erythrocytes and other tissues in organs such as liver, kidney, heart and lung.…”

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confidence: 99%

Laboratory investigation: Effects of propofol on the systemic inflammatory response during aortic surgery

Rodríguez-López

Conde

Lozano

et al. 2006

Can J Anesth/J Can Anesth

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Purpose: A laboratory investigation was undertaken to assess the effects of propofol on renal function, through modulation of the systemic inflammatory response, in an in vivo experimental model of aortic surgery in comparison with sevoflurane.Methods: Twenty young male piglets were anesthetized with either propofol 4 mg·kg -1 ·hr -1 (n = 10) or sevoflurane 1.5% end-tidal concentration (n = 10). Animals were subjected to aorta-aortic bypass with suprarenal aortic clamping for 30 min. At specific intervals (basal -before the start of surgery; reperfusion 15 min after unclamping the aorta; at 24, 48 and 72 hr after surgery, and on the seventh day after surgery) the levels of the following were determined: plasma creatinine, renal myeloperoxidase, tumour necrosis factor-α, interleukin 1-ß, and interferon-γ; kidney superoxide anion and its detoxifying enzyme superoxidase dismutase, kidney malondialdehyde and the activity of inducible nitric oxide synthase. Seven days after surgery, the animals were anesthetized using the described techniques, and after blood withdrawal and kidney sampling they were sacrificed. Results:In comparison with sevoflurane, propofol was associated with a lower concentration of plasma creatinine (P < 0.05) together with lower concentrations of myeloperoxidase, tumour necrosis factor-α, interleukin 1-ß, interferon-γ, superoxide anion and superoxidase dismutase, malondialdehyde and inducible nitric oxide synthase (P < 0.05). Conclusion:In an experimental model of aortic reconstructive surgery, and compared with sevoflurane, propofol anesthesia is associated with less neutrophil infiltration, lower plasma proinflammatory cytokine levels, lower production of oxygen free radicals, less lipid peroxidation, and reduced inducible nitric oxide synthase activity. These observations suggest a possible renal protective effect of propofol in this surgical setting. Objectif

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Diprivan attenuates the cytotoxicity of nitric oxide in cultured human bronchial epithelial cells

Abstract: Diprivan effectively attenuates the cytotoxicity of excessive NO exposure in IB-3 cells at concentrations that are clinically attainable.

Cited by 10 publications

References 36 publications

Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease

Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease

Dual Attention Aware Octave Convolution Network for Early-Stage Alzheimer's Disease Detection

Laboratory investigation: Effects of propofol on the systemic inflammatory response during aortic surgery

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