- •Ocular Blood Flow
- •Contents
- •1: Anatomy of the Ocular Vasculatures
- •Core Messages
- •1.1 Limbus and Conjunctiva
- •1.1.1 Cornea
- •1.1.2 Vasculature Distribution in the Anterior Segment
- •1.1.3 The Conjunctiva
- •1.1.3.1 The Conjunctival Arterial Supply
- •1.1.3.2 The Conjunctival Veins
- •1.2 Uveal Tract
- •1.2.1 The Iris
- •1.2.1.1 The Major Arterial Circle of the Iris
- •1.2.2 Ciliary Body and Processes
- •1.2.3 Choroid and Suprachoroid
- •1.2.3.1 Development of the Choroidal Vasculature
- •1.2.3.2 Arteries
- •1.2.3.3 Choroidal Veins (Vortex Veins)
- •1.2.3.4 Choriocapillaris
- •1.3 Optic Nerve Vasculature
- •1.4 Retina
- •1.4.1 Development of the Retinal Vasculature
- •1.4.2 Adult Retinal Vasculature
- •1.4.3 Nonprimate Adult Retinal Vasculatures
- •1.5 Conclusions
- •References
- •Core Messages
- •2.1 Introduction
- •2.3 Stochastic Error in the Entrapment of Microspheres
- •2.4 Methodological Errors and Practical Advice
- •2.4.1 Size of the Microspheres
- •2.4.2 Physical Characteristics of Microspheres
- •2.4.4 Dissection
- •2.4.5 Detection of RM and NAM
- •2.4.6 Detection of CM and FM
- •2.5 Biological Variation
- •2.5.1 Blood Pressure
- •2.5.3 Arterial Blood Gases
- •2.5.4 Other Possible Causes for Biological Variability
- •2.6 Summary for the Clinician
- •References
- •3: Laser Doppler Flowmetry in Animals
- •Core Messages
- •3.1 Introduction
- •3.2 History
- •3.3 Theory
- •3.4 Validation
- •3.5 Calibration
- •3.6 Zero Offset
- •3.7 Effects of Oxygen
- •3.9 Measurement Depth and Sampling Volume
- •3.10 Caveats
- •References
- •4: Oxygen Measurements in Animals
- •Core Messages
- •4.1 Introduction
- •4.2.1 Oxygen Electrodes
- •4.2.2 Hypoxyprobe
- •4.2.3 Magnetic Resonance Imaging
- •4.2.4 Phosphorescence Decay
- •4.2.5 Oximetry
- •4.3.1 Vitreal Oxygen
- •4.3.2 Intraretinal Oxygen
- •4.4 Oxygen in Avascular Retinas
- •4.5 Analysis of Retinal Oxygen Utilization
- •4.5.1 Fick Principle Analyses
- •4.5.4 Other Diffusion Models
- •4.6 Physiological Variations in Retinal Oxygen
- •4.6.1 Light
- •4.6.2 Hypoxia
- •4.6.3 Hyperoxia
- •4.6.4 Hypercapnia
- •4.7 Pathophysiology and Retinal Oxygen
- •4.7.1 Vascular Occlusion
- •4.7.2 Diabetes
- •4.7.3 Retinal Detachment
- •4.7.4 Retinal Degenerative Diseases
- •4.7.5 Retinopathy of Prematurity
- •4.8 Retinal Molecular Changes Related to Oxygen
- •4.9 Oxygen in the Optic Nerve Head
- •References
- •Core Messages
- •5.1 Measuring Technique
- •5.2 Normal Values
- •5.3 Retinal Pathologies
- •5.3.1 Diabetes Mellitus
- •5.3.2 Central Retinal Vein Occlusion
- •5.4 Summary
- •References
- •Core Messages
- •6.1 Introduction
- •6.1.1 Anatomy
- •6.3 Vessel Diameter Measurements Based on Photographic and Digitally Stored Images
- •6.3.1 Basics for Measurements on Stored Images
- •6.3.1.1 Measuring Principle
- •6.3.1.4 Problems and Measuring Errors
- •6.3.1.5 Physiological Variability of Vessel Diameter
- •6.3.2 Methods
- •6.3.2.2 Microdensitometry Based on Photographic Negatives
- •6.3.2.3 Measurements Based on Digital Images
- •6.4 Diameter Assessment for Blood Flow
- •6.4.1 Assessment of Flow by Use of Doppler Technique (CLBF)
- •6.5 Retinal Vessel Analysis
- •6.5.1 Basics of Retinal Vessel Analysis
- •6.5.2 Static Vessel Analysis
- •6.5.3 Results and Limits of Static Vessel Analysis
- •6.5.4 Results and Limits of Dynamic Vessel Analysis
- •6.5.4.1 Stimulation with Flicker Light
- •6.5.4.2 Other Provocation Tests
- •6.5.5 Systems Available for Dynamic Vessel Analysis
- •6.6 Further Perspectives
- •References
- •Core Messages
- •7.1 Introduction
- •7.2 Retinal Laser Doppler Velocimetry
- •7.2.1 The Doppler Effect
- •7.2.2 Electric Field Scattered by Singly Scattering Particles Moving in a Capillary Tube
- •7.2.5 Experimental Test of the Bidirectional LDV Technique
- •7.2.7 The DSPS for RBCs Moving in a Retinal Vessel
- •7.2.7.1 Multiple Scattering of Blood
- •7.2.7.2 DSPS from RBCs Flowing in a Glass Capillary Tube
- •7.2.7.3 DSPS from Human Retinal Vessels
- •7.2.7.4 Exploring the Scattering Process
- •7.2.9 Instrumentation
- •7.2.10 Blood Flow in Retinal Vessels
- •7.2.12 Limitations, Safety, and Future Directions of the LDV Technique
- •7.2.13 Physiologic and Clinical Applications (Brief Overview)
- •7.3.1 The DSPS for RBCs Moving in the Microvascular Bed of a Tissue
- •7.3.2 Hemodynamic Parameters Derived from the DSPS
- •7.3.3 Detection Scheme for Optic Nerve and Subfoveal Choroidal Blood Flow
- •7.3.4 Critical Questions Regarding the Application of LDF to Ocular Blood Flow
- •7.3.4.1 LDF Sample Volume
- •7.3.4.2 Linearity of LDF
- •7.3.4.3 Scattering Scheme
- •7.3.5 Reproducibility of LDF
- •7.3.6 Applications of LDF
- •7.4 Summary for the Clinician
- •References
- •8: Color Doppler Imaging
- •Core Messages
- •8.1 Principles
- •8.2 Instrumentation
- •8.3 Procedure
- •8.4 Outcome Variables
- •8.5 Reproducibility
- •8.6 Physiological and Pharmacological Stimuli
- •8.7 Results in Patients with Disease
- •8.8 Advantages and Limitations
- •References
- •9: Other Approaches
- •Core Messages
- •9.1 Blue Field Entoptic Technique
- •9.1.1 Laser Speckle Technique
- •9.1.2 Pulsatile Ocular Blood Flow
- •9.1.2.1 Laser Interferometry
- •References
- •10: Systemic Determinants
- •Core Messages
- •10.1 Introduction
- •10.1.1 Ocular and Systemic Blood Flow
- •10.2 Local Skin Cooling Effect
- •10.2.1 Choroidal Blood Flow
- •10.2.2 Retinal Blood Flow
- •10.3 Aerobic Exercise
- •10.3.1 Choroidal Blood Flow
- •10.3.2 Macular Blood Flow
- •10.3.3 Retinal Blood Flow
- •10.4 Neural Activation
- •10.4.1 Valsalva Maneuver
- •10.4.2 Nicotine
- •10.5 Blood Pressure Versus Ocular Perfusion Pressure
- •10.5.1 Increased Ocular Perfusion Pressure
- •10.5.1.1 Choroidal Blood Flow
- •10.5.2 Decreased Ocular Perfusion Pressure
- •10.5.2.1 Choroidal Blood Flow
- •10.5.2.2 Optic Nerve Head Blood Flow
- •10.5.3 Neural Retinal Function
- •10.6 Blood Gases
- •10.6.1 Hyperoxia and Blood Flow
- •10.6.3 Hypoxia and Pulsatile Choroidal Blood Flow
- •10.6.4 Hyperoxia, Hypercapnia, and Retinal Function
- •10.6.5 Hypoxia, Hyperoxia, and Retinal Function
- •10.7 Regional Choroidal Perfusion
- •10.7.1 Cones Versus Rods: Structure and Function
- •10.7.2 Choroidal Angioarchitecture
- •10.7.3 Dark Adaptation
- •10.7.4 Protracted Blue Flicker
- •10.8 Aging
- •10.8.1 Structure
- •10.8.2 Blood Flow
- •10.8.3 Retinal Function
- •References
- •11: Local Determinants
- •Core Messages
- •11.1 Introduction
- •11.2 Ocular Perfusion Pressure, IOP, and the Ocular Starling Resistor Effect
- •11.3 Types of Local Control
- •11.3.1 Myogenic Local Control
- •11.3.2 Metabolic Local Control
- •11.3.3 Flow-Mediated Vasodilation
- •11.3.4 Flow Control by Intercellular Conduction
- •11.4 Ocular Local Control
- •11.4.1 Optic Nerve Head (ONH)
- •11.4.2 Choroid
- •11.4.3 Retina
- •11.4.4 Ciliary Body
- •11.4.5 Iris
- •11.5 Caveats
- •11.6 Summary for the Clinician
- •References
- •12: Neural Control of Ocular Blood Flow
- •Core Messages
- •12.1 Overview of Ocular Blood Supplies and Their Neural Control
- •12.2 Neural Control of Optic Nerve and Retinal Blood Flow
- •12.3 Neural Control of Iridial and Ciliary Body Blood Flow
- •12.4 Neural Control of Blood Flow in Orbital Glands
- •12.5 Neural Control of Choroidal Blood Flow
- •12.5.1 Importance of the Choroid
- •12.5.2 Choroidal Innervation: Overview of Anatomy
- •12.5.3 Facial Nucleus Parasympathetic Input
- •12.5.3.4 Choroidal Autoregulation and the PPG Input to Choroid – Mammals
- •12.5.3.8 Choroidal Autoregulation and the PPG Input to Choroid – Birds
- •12.5.4 Oculomotor Nucleus Parasympathetic Input
- •12.5.4.1 Ciliary Ganglion Circuitry – Mammals
- •12.5.4.2 Function of the EW-Ciliary Ganglion Circuit – Mammals
- •12.5.4.3 Ciliary Ganglion Circuitry – Birds
- •12.5.4.4 Function of vSCN-EWM-Ciliary Ganglion Circuit – Birds
- •12.5.5 Sympathetic Superior Cervical Ganglion Input
- •12.5.6 Trigeminal Sensory Input
- •12.5.7 Intrinsic Choroidal Neurons
- •12.5.8 Disturbed Neural Control of Choroidal Blood Flow in Aging and Retinal Disease
- •12.5.8.1 Effect of Aging on Retina and Choroid
- •12.5.8.2 Effect of Disease on Retina and Choroid
- •References
- •13: Endothelial and Adrenergic Control
- •Core Messages
- •13.1 Nitric Oxide
- •13.2 Endothelins
- •13.3 Arachidonic Acid Metabolites
- •13.4 Adrenergic Control
- •13.5 Alpha Receptors
- •13.6 Topical Administration
- •13.6.1 Clonidine
- •13.6.2 Brimonidine
- •13.6.3 Beta Receptors
- •13.6.4 Timolol
- •13.6.5 Human Studies
- •13.6.6 Betaxolol
- •13.6.7 Human Studies
- •13.6.8 Levobunolol
- •13.6.9 Carteolol
- •13.6.10 Serotonin
- •13.7 Carbonic Anhydrase Inhibitors
- •13.8 Acetazolamide
- •13.9 Dorzolamide
- •13.10 Retrobulbar Blood Flow
- •13.11 Retinal Blood Flow
- •13.12 Choroidal and Optic Nerve Head Blood Flow
- •13.13 Brinzolamide
- •References
- •Core Messages
- •14.1 Introduction
- •14.2 Retinal Ischemia Basic Mechanisms
- •14.3 Oxidative Stress
- •14.6 Animal Studies Relating Ischemia, Glaucoma, and Neuroprotection
- •14.6.1 Retinal Ischemia
- •14.6.6 Role of Mitochondria (Fig. 14.6)
- •References
- •Core Messages
- •15.1 Introduction
- •15.2 Retinal Blood Flow in Diabetes
- •15.3 Retinal Hypoperfusion
- •15.3.1 Mechanisms of Hypoperfusion
- •15.3.1.1 Glycaemic Control
- •15.3.1.2 Protein Kinase C
- •15.3.1.3 Ion Channel Dysfunction
- •15.4 Retinal Hyperperfusion
- •15.4.1 Mechanisms of Hyperperfusion: A Link to Hypoperfusion, Tissue Hypoxia and Retinal Leukostasis?
- •15.4.2 Retinal Autoregulation in Diabetes
- •15.5.1 Basement Membrane Thickening
- •15.5.3 Microaneurysms
- •15.5.4 Capillary Acellularity
- •15.6 Retinal Blood Flow and Vision Loss in Diabetic Retinopathy
- •15.6.1 Diabetic Macular Oedema
- •15.6.2 Proliferative Diabetic Retinopathy
- •15.7 Conclusions
- •15.8 Summary for the Clinician
- •References
- •Core Messages
- •16.1 Introduction
- •16.2 Choroidal Blood Flow
- •16.3 Systemic Vascular Factors and AMD
- •16.5 Choroidal Hemodynamic Changes in AMD
- •16.5.1 Choroidal Histopathological Vascular Changes in AMD
- •16.5.1.1 Choriocapillaris and Bruch’s Membrane in Aging and AMD
- •16.5.2 Choroidal Microcirculation in AMD
- •16.5.2.2 Choroidal Watershed Zones and Neovascularization
- •16.5.2.3 Laser Doppler Flowmetry Evaluation
- •References
- •Core Messages
- •17.1 Introduction
- •17.2 Potential Mechanisms of Ischaemic Damage in Glaucoma
- •17.2.2 Autoregulatory Disturbances
- •17.2.3 Mechanical Compression or Collapse of Vessels
- •17.2.4 Atherosclerosis
- •17.2.5 Vascular Endothelial Factors
- •17.2.6 Barriers to Nutrient Delivery
- •17.2.7 Circulating Vasoconstrictors
- •17.3 Evidence Base Supporting the Importance of Ischaemia in Glaucoma
- •17.3.1 Association and Causality
- •17.3.1.1 Reduction in Optic Nerve Head Blood Flow
- •17.3.1.2 Blood Pressure, Intraocular Pressure and Perfusion Pressure
- •17.3.1.3 Nocturnal Hypotension
- •17.3.1.4 Vasospasm
- •17.3.1.5 Endothelin and Other Circulating Peptides
- •17.3.2 Effects of Treatment
- •17.3.2.1 Calcium Channel Blockers
- •17.3.2.2 Topical Adrenergic Antagonists
- •17.3.2.4 Prostaglandin Analogues
- •17.4 Experimental Models of Ischaemia Relating to Glaucoma
- •17.4.1 Acute Ischaemia
- •17.4.2 Chronic Ischaemia
- •17.5 Summary
- •17.5.1 Diversity of Evidence
- •17.5.2 Evidence Base Compared to Intraocular Pressure
- •17.5.3 Requirements to Strengthen Evidence Base
- •References
- •Core Messages
- •18.1 Retinal Diseases
- •18.2 Uveitis
- •18.3 Optic Nerve Disorders
- •18.4 Systemic Diseases
- •References
- •Core Messages
- •19.1 Atherosclerosis
- •19.1.1 Pathogenesis of Atherosclerosis
- •19.1.2 Internal Carotid Artery Disease (ICA)
- •19.1.3 Effects on the Ocular Circulation
- •19.1.3.1 Retinal Artery Occlusion
- •Clinical Characteristics
- •Diagnosis
- •Mortality/Morbidity
- •19.1.3.2 Retinal Vein Occlusion (RVO)
- •Clinical Characteristics
- •Pathogenesis
- •Diagnosis
- •19.1.3.3 Ischemic Optic Neuropathy
- •Clinical Characteristics
- •Mortality/Morbidity
- •19.1.3.4 Asymptomatic Retinal Emboli
- •Background
- •Pathophysiology
- •19.2 Vasculitis
- •19.2.1 Takayasu’s Arteritis (Aortic Arch Syndrome)
- •19.2.1.1 Pathophysiology
- •19.2.1.2 Clinical Characteristics
- •19.2.1.3 Epidemiology
- •19.2.2 Behcet’s Disease
- •19.2.2.1 Clinical Characteristics
- •19.2.2.2 Pathogenesis
- •19.2.2.3 Diagnosis
- •19.2.2.4 Epidemiology
- •19.2.3 Thromboangiitis Obliterans
- •19.2.3.1 Diagnosis and Clinical Characteristics
- •19.2.3.2 Treatment
- •19.2.4 Temporal Arteritis
- •19.2.4.1 Epidemiology
- •19.2.4.2 Pathogenesis
- •19.2.4.3 Ocular Manifestations
- •19.2.5 Wegener’s Granulomatosis
- •19.2.5.1 Pathogenesis
- •19.2.5.2 Ocular Manifestation
- •19.2.5.3 Diagnosis
- •19.2.6 Kawasaki Disease
- •19.2.6.1 Clinical Characteristics
- •19.2.6.2 Diagnosis
- •19.3 Vascular Malformations
- •19.3.1.1 Diagnosis
- •19.3.1.2 Pathophysiology
- •19.4 Systemic Hypertension and Treatment
- •19.4.1 Etiology
- •19.4.1.1 Primary Hypertension
- •19.4.1.2 Secondary Hypertension
- •19.4.2 Pathophysiology
- •19.4.3 Pathology and Complications
- •19.4.4 Symptoms and Signs
- •19.4.5 Diagnosis of Hypertension
- •19.4.5.1 History
- •19.4.5.2 Physical Examination
- •19.4.5.3 Testing
- •19.4.6 Prognosis
- •19.4.7 General Treatment
- •19.4.7.2 Drugs
- •19.5 Hypertensive Retinopathy
- •19.5.2 Pathophysiology
- •19.5.3 Blood Pressure
- •19.5.3.1 The Risk of Stroke
- •19.5.3.2 The Risk of Coronary Heart Disease
- •19.5.4 Treatment
- •19.5.4.1 ACE Inhibitors and the Eye
- •References
- •Index
11 Local Determinants |
217 |
|
|
Pa |
JO2 VO2 VO2 |
Pv |
Feedback signal?
Fig. 11.9 Metabolic local control. Over the autoregulatory range of perfusion pressure (Pa − Pv, arterial pressure minus venous pressure), arterial resistance and the number of perfused capillaries are modulated by a feedback signal linked to oxygen delivery (JO2) and parenchymal metabolism (VO2)
gain (Fig. 11.8) [13, 16]. Such a regulatory feedback loop would permit the vessel radius adjustments necessary to maintain ßow when pressure changes (e.g., if arterial pressure increases, the arterial contraction must decrease the radius below control to maintain blood ßow constant). Johnson also noted that in terms of homeostasis, the myogenic mechanism is better suited to regulating tissue capillary hydrostatic pressure than blood ßow (e.g., if arterial or venous pressure rises, arterial myogenic vasoconstriction in both cases would tend to preserve capillary hydrostatic pressure).
11.3.2 Metabolic Local Control
The basic premise of metabolic local control is that tissues regulate their blood ßow to insure the delivery of nutrients and removal of waste in accordance with their metabolic requirements (Fig. 11.9) [17]. The metabolic hypothesis assumes communication between parenchymal cells and the smooth muscle cells controlling the tissue vascular resistance (arterioles) and capillary ßow distribution (precapillary sphincters and pericytes) [18, 19]. Because most tissues utilize aerobic metabolism, the convective delivery of oxygen by blood ßow to the tissue is often considered the regulated variable. If oxygen delivery decreases (e.g., due to a fall in arterial pressure)
C |
120 |
C |
120 |
Fig. 11.10 Coronary reactive hyperemia. Blood ßow overshoot in canine circumßex artery after release of 15 s (top) and 30 s (bottom) arterial occlusions before (left) and 120 min after (right) administration of the nonselective adenosine antagonist, theophylline. Magnitude of postocclusion blood ßow overshoot increases with occlusion duration and is blunted by adenosine blockade [20]
or oxygen demand increases (e.g., increased neuronal activity), the parenchymal cells produce a vasodilatory signal that increases tissue blood ßow and capillary perfusion such that oxygen delivery is again matched to oxygen demand. Conversely, if oxygen delivery exceeds demand, the parenchymal cells decrease production of the vasodilatory signal until delivery and demand are again matched. There are numerous vasodilator candidates linked to metabolism that can act as the feedback signal (e.g., adenosine, CO2, H+, lactate, etc.), and it is likely that all participate to a variable extent depending on the tissue. Because it is a vasoconstrictor, oxygen can also modulate local resistance in accordance with metabolic demand.
Several lines of evidence support the metabolic local control hypothesis: reactive hyperemia (Fig. 11.10), functional hyperemia (Fig. 11.11), modulation of pressure-ßow autoregulation by metabolic stimulation (Fig. 11.12), and hypoxic hyperemia (Fig. 11.13).
11.3.3 Flow-Mediated Vasodilation
In vitro and in vivo studies of large and small arteries show that ßow elicits endotheliumdependent vasodilation (Fig. 11.14) [24Ð28].
218 |
J.W. Kiel |
|
|
Fig. 11.11 Intestinal functional hyperemia. Blood ßow (Qb) in an isolated loop of feline ileum before and after Þlling the lumen with a glucose solution. Oxygen consumption (VO2) increased during glucose absorption, which was achieved by increased Qb rather than increased arteriovenous oxygen extraction (A-VO2). The increased Qb was due to a decrease in vascular resistance (Rt) since arterial (Pa) and venous (Pv) pressures were unaltered [21]
|
(mmHg) |
150 |
P |
|
|
A |
|
75 |
|
|
|
|
|
0 |
|
(mmHg) |
10 |
P |
|
|
v |
|
5 |
|
|
|
|
|
0 |
|
gm) |
50 |
|
|
|
Q |
(ml/min/100 |
|
b |
|
25 |
|
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|
0 |
|
|
6 |
2 |
(ml) |
|
-AVo |
3 |
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|
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|
|
gm) |
0 |
|
1.25 |
|
Vo |
(ml/min/100 |
|
2 |
|
|
|
|
1.00 |
|
|
.75 |
|
gm) |
.50 |
|
4.0 |
|
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(mmHg/ml/min/100 |
|
R |
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T |
|
2.0 |
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|
0 |
Tyrodes + Glucose
J VM = 0.70 ml/min/100g
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−5 |
0 |
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3 |
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4 |
Oxygen consumption |
(ml/min/100 g) |
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Gastric mucosal blood flow |
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3 |
2 |
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(V) |
2 |
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1 |
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1 |
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Control |
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Pentagastrin |
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0 |
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0 |
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0 |
30 |
60 |
90 |
120 |
150 |
180 |
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5 |
10 |
15 |
20 |
25 |
30 |
Time (min)
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Control |
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Pentagastrin |
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0 |
30 |
60 |
90 |
120 |
150 |
180 |
Pressure (mmHg) |
Pressure (mmHg) |
Fig. 11.12 Gastric mucosal autoregulation and metabolic activity. Effect of changing perfusion pressure on total oxygen consumption and mucosal blood ßow in a pres- sure-perfused canine stomach preparation before and
during pentagastrin-stimulated acid secretion. Increased oxygen consumption was associated with an upward shift in the mucosal pressure-ßow relationship [22]
11 Local Determinants |
219 |
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|
200 |
PA |
100 |
(mmHg) |
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0 |
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10 |
PV |
5 |
(mmHg) |
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0 |
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14 |
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1 min |
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A-V O2 |
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7 |
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(Vol %) |
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0 |
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FA |
400 |
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200 |
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(ml/min) |
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0 |
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6 % O2 |
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VO2 (ml/min) 3.5 |
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3.7 |
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PVO2 (mm/Hg) 42 |
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21 |
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Kf(ml/min•mmHg•100 g) .008 |
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.019 |
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Fig. 11.13 Hypoxic vasodilation. Systemic hypoxia elicits increased hind limb skeletal muscle blood ßow (FA) in a denervated dog preparation [23]
a
Diameter |
100 |
μm)( |
|
|
2 min |
|
50 |
|
60 |
|
O) |
P |
2 |
(cmH |
|
|
0 |
|
70 |
|
O) |
I.P. |
2 |
(cmH |
|
|
50 |
The response appears to be mediated by shear stress exerted on the endothelial cells by the velocity and viscosity of blood moving within the vessel lumen (Fig. 11.15). The response is inhibited by indomethacin (Fig. 11.15) and nitric oxide synthase inhibitors, indicating that endothelial release of vasoactive prostaglandins and nitric oxide play a role in the response [29, 30]. The role of ßow-mediated vasodilation in local control of tissue blood ßow is complex since it has the potential to be inherently unstable (i.e., an increase in ßow elicits a vasodilation that causes a further increase in ßow). However, the robustness of the response varies with location in the arterial tree and is likely modulated by metabolic and myogenic local control mechanisms.
11.3.4Flow Control by Intercellular Conduction
One potential integrating mechanism for the various local control mechanisms is intercellular communication along the arterial tree [31]. The evidence for this mechanism is the rapid propagation of a focal vasodilation elicited by iontophoretic application of acetylcholine (Fig. 11.16) [32]. The vasodilation spreads from one region of
b
1.060 cmH2O Intraluminal pressure (n = 14)
|
|
d = 64.2 ± 2.1 μm |
* |
* |
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* |
* |
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0.9 |
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diameter |
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* |
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0.8 |
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Normalized |
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0.7 |
|
Endothelium intact |
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||
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0.6Endothelium denuded
0.5
0 |
20 |
40 |
60 |
Pressure gradient (cmH2O)
Fig. 11.14 Flow-mediated vasodilation. (a) Isolated pig coronary arterioles dilate in response to ßow increase caused by increased perfusion pressure ( P) while holding
the midpoint intraluminal pressure constant. (b) Flowinduced vasodilation is abolished after removal of endothelium [28]
220 |
|
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J.W. Kiel |
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140 |
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140 |
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Flow |
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+EC |
|
Flow |
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|
Control |
|
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120 |
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−EC |
|
120 |
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INDO |
|
(μm) |
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(μm) |
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100 |
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100 |
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Diameter |
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Diameter |
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||
80 |
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80 |
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60 |
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60 |
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40 |
100 |
200 |
300 |
400 |
500 |
|
40 |
100 |
200 |
300 |
400 |
500 |
|
0 |
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0 |
||||||||||
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Shear stress (dyn/cm2) |
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|
Shear stress (dyn/cm2) |
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Diameter (μm)
140
Viscosity |
+ EC |
|
- EC |
120
100 |
|
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|
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|
80 |
|
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|
600 |
|
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|
200 |
250 |
300 |
50 |
100 |
150 |
||||
|
Shear stress (dyn/cm2) |
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|||
Diameter (μm)
140
Viscosity |
Control |
|
INDO |
120
100
80
600 |
50 |
100 |
150 |
200 |
250 |
300 |
Shear stress (dyn/cm2)
Fig. 11.15 Flow-mediated vasodilation and shear stress. Isolated rat cremaster arterioles dilate in response to shear stress increased by raising ßow (top) or viscosity (bottom).
Shear stress-induced dilatation is eliminated by endothelial removal (left) or indomethacin (right) [29]
a
Upstream
Occlude
Fig. 11.16 Propagated vasodilation. In hamster b cheek pouch arterioles (a), a
point application of acetylcholine (ACh) causes vasodilation (b) that propagates upstream past a double occlusion (c) indicative of cell-to-cell communication along the arterial tree [32]
Diameter (µm)
|
|
ACh |
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50 |
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c 50 |
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25 |
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25 |
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0 |
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0 |
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0 |
10 |
20 |
30 |
0 |
10 |
20 |
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Seconds |
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Seconds |
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