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Bateman, RM; Sharpe,; Wj, Sibbald; Gill, Ravi; Cg, Ellis

doi:10.1186/cc1589

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…where P 50 is the PO 2 at 50% saturation, which is in the range 29–40.5 mmHg depending on the species, and n is the Hill exponent, which is typically in the range 2–3 (Ellsworth et al, 1988; Uchida et al, 1998; Ellis et al, 2002). The value of P 50 is important in determining the critical range of PO 2 values for oxygen unbinding, due to the sharp gradient in the Hill equation curve around this value.…”

Section: Theoretical Modeling Of Cerebral Microvascular Hemodynamics mentioning

confidence: 99%

Modeling of Cerebral Oxygen Transport Based on In vivo Microscopic Imaging of Microvascular Network Structure, Blood Flow, and Oxygenation

Gagnon

Smith

Boas

et al. 2016

Front. Comput. Neurosci.

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Oxygen is delivered to brain tissue by a dense network of microvessels, which actively control cerebral blood flow (CBF) through vasodilation and contraction in response to changing levels of neural activity. Understanding these network-level processes is immediately relevant for (1) interpretation of functional Magnetic Resonance Imaging (fMRI) signals, and (2) investigation of neurological diseases in which a deterioration of neurovascular and neuro-metabolic physiology contributes to motor and cognitive decline. Experimental data on the structure, flow and oxygen levels of microvascular networks are needed, together with theoretical methods to integrate this information and predict physiologically relevant properties that are not directly measurable. Recent progress in optical imaging technologies for high-resolution in vivo measurement of the cerebral microvascular architecture, blood flow, and oxygenation enables construction of detailed computational models of cerebral hemodynamics and oxygen transport based on realistic three-dimensional microvascular networks. In this article, we review state-of-the-art optical microscopy technologies for quantitative in vivo imaging of cerebral microvascular structure, blood flow and oxygenation, and theoretical methods that utilize such data to generate spatially resolved models for blood flow and oxygen transport. These “bottom-up” models are essential for the understanding of the processes governing brain oxygenation in normal and disease states and for eventual translation of the lessons learned from animal studies to humans.

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Section: Theoretical Modeling Of Cerebral Microvascular Hemodynamics mentioning

confidence: 99%

Modeling of Cerebral Oxygen Transport Based on In vivo Microscopic Imaging of Microvascular Network Structure, Blood Flow, and Oxygenation

Gagnon

Smith

Boas

et al. 2016

Front. Comput. Neurosci.

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“…Chemiluminescence cannot be used to distinguish isotopic forms of NO and thus cannot be used in isotopic labeling experiments. Poor stability of S-nitrosocompounds and difficulties with selective reduction of SNO-groups lead to typical assay sensitivity of ~ 1-5 pmole 4,25,31,37 while the limit of NO 2 − detection was reported to be ~0.12 pmole. 38 Similar sensitivity for nitrite detection was demonstrated recently 39 using GC/MS method.…”

mentioning

confidence: 99%

Detection of S-Nitroso Compounds by Use of Midinfrared Cavity Ring-Down Spectroscopy

et al. 2015

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S-nitrosocompounds have received much attention in biological research. In addition to their role as nitric oxide donors, there is a growing evidence that these compounds are involved in signaling processes in biological systems. Determination of S-nitrosylated proteins is of great importance for fundamental biological research and medical applications. The most common method to assay biological S-nitrosocompounds is to chemically or photochemically reduce SNO- functional groups to release nitric oxide that is then entrained in an inert gas stream and detected, usually through chemiluminescence. We report a method of S-nitrosocompounds detection using cavity ring-down measurements of gaseous NO absorbance at 5.2μ. The proposed method, in contrast to the chemiluminescence-based approach, can be used to distinguish isotopic forms of NO. We demonstrated sensitivity down to ~2 pmole of S-14NO groups and ~5 pmole of S-15NO groups for S-nitrosocompounds in aqueous solutions. The wide dynamic range of cavity ring-down detection allows the measurement of S-nitrosocompounds levels from pico- to nanomole amounts.

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Septic Shock

Rozencwajg

Montravers

2023

Textbook of Emergency General Surgery

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Untitled

Cited by 5 publications

References 2 publications

Modeling of Cerebral Oxygen Transport Based on In vivo Microscopic Imaging of Microvascular Network Structure, Blood Flow, and Oxygenation

Modeling of Cerebral Oxygen Transport Based on In vivo Microscopic Imaging of Microvascular Network Structure, Blood Flow, and Oxygenation

Detection of S-Nitroso Compounds by Use of Midinfrared Cavity Ring-Down Spectroscopy

Septic Shock

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