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Tsai MF, Yu CM, Chen YF, Chung TY, Lin GH, Lee AL, Yang CY, Yu CM, Huang HY, Liu YC, Huang WC, Tung KY, Yao WT. Laser Speckle Contrast Imaging Guides Needling Treatment of Vascular Complications from Dermal Fillers. Aesthetic Plast Surg 2024; 48:1067-1075. [PMID: 37816946 DOI: 10.1007/s00266-023-03629-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 08/07/2023] [Indexed: 10/12/2023]
Abstract
BACKGROUND Although laser Doppler imaging (LDI) accurately delineates a hypoperfused area to help target hyaluronidase treatment, laser speckle contrast imaging (LSCI) is more appropriate for assessing microvascular hemodynamics and has greater reproducibility than LDI. This study investigated the use of LSCI in the evaluation and treatment of six patients who developed vascular complications after facial dermal filler injections. METHODS The areas of vascular occlusion were accurately defined in real time by LSCI and were more precise than visual inspections or photographic evidence for guiding needling and hyaluronidase treatment. RESULTS All patients had achieved satisfactory outcomes as early as Day 2 of treatment and no procedure-related complications were reported after a median follow-up of 9.5 (7-37) days. CONCLUSION LSCI accurately and noninvasively delineated vascular occlusions in real time among patients experiencing complications of facial dermal filler injections. Moreover, LSCI was more accurate than visual and photographic evaluations. Clinicians can use LSCI to reliably follow-up therapeutic outcomes after salvage interventions for vascular occlusions. LEVEL OF EVIDENCE IV This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
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Affiliation(s)
- Ming-Feng Tsai
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei, 25245, Taiwan
- Graduate Institute of Medical Science and Technology, Taipei Medical University, Taipei City, 101, Taiwan
| | - Chia-Meng Yu
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei, 25245, Taiwan
| | - Yu-Fan Chen
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei, 25245, Taiwan
| | - Tzu-Yi Chung
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
| | - Guan-Heng Lin
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
| | - An-Li Lee
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei, 25245, Taiwan
| | - Chin-Yi Yang
- Department of Dermatology, New Taipei Municipal TuCheng Hospital, New Taipei City, 236, Taiwan
- Department of Dermatology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, 333, Taiwan
- Department of Cosmetic Science, Chang Gung University of Science and Technology, Linkuo, Taoyuan, 333, Taiwan
- School of Medicine, College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
| | - Chieh-Ming Yu
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei, 25245, Taiwan
| | - Hsuan-Yu Huang
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei, 25245, Taiwan
| | - Ying-Chun Liu
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei, 25245, Taiwan
| | - Wen-Chen Huang
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei, 25245, Taiwan
| | - Kwang-Yi Tung
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei, 25245, Taiwan
| | - Wen-Teng Yao
- Division of Plastic Surgery, Department of Surgery, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei City, 10449, Taiwan.
- Department of Medicine, MacKay Medical College, New Taipei, 25245, Taiwan.
- Department of Materials Science and Engineering, National Taiwan University, Taipei, 106, Taiwan.
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Zehra T, Cupples WA, Braam B. Tubuloglomerular Feedback Synchronization in Nephrovascular Networks. J Am Soc Nephrol 2021; 32:1293-1304. [PMID: 33833078 PMCID: PMC8259654 DOI: 10.1681/asn.2020040423] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
To perform their functions, the kidneys maintain stable blood perfusion in the face of fluctuations in systemic BP. This is done through autoregulation of blood flow by the generic myogenic response and the kidney-specific tubuloglomerular feedback (TGF) mechanism. The central theme of this paper is that, to achieve autoregulation, nephrons do not work as single units to manage their individual blood flows, but rather communicate electrically over long distances to other nephrons via the vascular tree. Accordingly, we define the nephrovascular unit (NVU) to be a structure consisting of the nephron, glomerulus, afferent arteriole, and efferent arteriole. We discuss features that require and enable distributed autoregulation mediated by TGF across the kidney. These features include the highly variable topology of the renal vasculature which creates variability in circulation and the potential for mismatch between tubular oxygen demand and delivery; the self-sustained oscillations in each NVU arising from the autoregulatory mechanisms; and the presence of extensive gap junctions formed by connexins and their properties that enable long-distance transmission of TGF signals. The existence of TGF synchronization across the renal microvascular network enables an understanding of how NVUs optimize oxygenation-perfusion matching while preventing transmission of high systemic pressure to the glomeruli, which could lead to progressive glomerular and vascular injury.
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Affiliation(s)
- Tayyaba Zehra
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - William A. Cupples
- Department of Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Branko Braam
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada,Department of Physiology, University of Alberta, Edmonton, Alberta, Canada
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Heeman W, Maassen H, Calon J, van Goor H, Leuvenink H, van Dam GM, Boerma EC. Real-time visualization of renal microperfusion using laser speckle contrast imaging. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-200389RR. [PMID: 34024055 PMCID: PMC8140613 DOI: 10.1117/1.jbo.26.5.056004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 05/07/2021] [Indexed: 05/02/2023]
Abstract
SIGNIFICANCE Intraoperative parameters of renal cortical microperfusion (RCM) have been associated with postoperative ischemia/reperfusion injury. Laser speckle contrast imaging (LSCI) could provide valuable information in this regard with the advantage over the current standard of care of being a non-contact and full-field imaging technique. AIM Our study aims to validate the use of LSCI for the visualization of RCM on ex vivo perfused human-sized porcine kidneys in various models of hemodynamic changes. APPROACH A comparison was made between three renal perfusion measures: LSCI, the total arterial renal blood flow (RBF), and sidestream dark-field (SDF) imaging in different settings of ischemia/reperfusion. RESULTS LSCI showed a good correlation with RBF for the reperfusion experiment (0.94 ± 0.02; p < 0.0001) and short- and long-lasting local ischemia (0.90 ± 0.03; p < 0.0001 and 0.81 ± 0.08; p < 0.0001, respectively). The correlation decreased for low flow situations due to RBF redistribution. The correlation between LSCI and SDF (0.81 ± 0.10; p < 0.0001) showed superiority over RBF (0.54 ± 0.22; p < 0.0001). CONCLUSIONS LSCI is capable of imaging RCM with high spatial and temporal resolutions. It can instantaneously detect local perfusion deficits, which is not possible with the current standard of care. Further development of LSCI in transplant surgery could help with clinical decision making.
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Affiliation(s)
- Wido Heeman
- University of Groningen, Faculty Campus Fryslân, Leeuwarden, The Netherlands
- University Medical Centre Groningen, Department of Surgery, Groningen, The Netherlands
- LIMIS Development BV, Leeuwarden, The Netherlands
- Address all correspondence to Wido Heeman,
| | - Hanno Maassen
- University Medical Centre Groningen, Department of Surgery, Groningen, The Netherlands
- University Medical Centre Groningen, Department of Pathology and Medical Biology, Groningen, The Netherlands
| | - Joost Calon
- ZiuZ Visual Intelligence, Gorredijk, The Netherlands
| | - Harry van Goor
- University Medical Centre Groningen, Department of Pathology and Medical Biology, Groningen, The Netherlands
| | - Henri Leuvenink
- University Medical Centre Groningen, Department of Surgery, Groningen, The Netherlands
| | - Gooitzen M. van Dam
- University Medical Centre Groningen, Department of Surgery, Groningen, The Netherlands
| | - E. Christiaan Boerma
- Medical Centre Leeuwarden, Department of Intensive Care, Leeuwarden, The Netherlands
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Marsh DJ, Postnov DD, Sosnovtseva OV, Holstein-Rathlou NH. The nephron-arterial network and its interactions. Am J Physiol Renal Physiol 2019; 316:F769-F784. [DOI: 10.1152/ajprenal.00484.2018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Tubuloglomerular feedback and the myogenic mechanism form an ensemble in renal afferent arterioles that regulate single-nephron blood flow and glomerular filtration. Each mechanism generates a self-sustained oscillation, the mechanisms interact, and the oscillations synchronize. The synchronization generates a bimodal electrical signal in the arteriolar wall that propagates retrograde to a vascular node, where it meets similar electrical signals from other nephrons. Each signal carries information about the time-dependent behavior of the regulatory ensemble. The converging signals support synchronization of the nephrons participating in the information exchange, and the synchronization can lead to formation of nephron clusters. We review the experimental evidence and the theoretical implications of these interactions and consider additional interactions that can limit the size of nephron clusters. The architecture of the arterial tree figures prominently in these interactions.
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Affiliation(s)
- Donald J. Marsh
- Department of Molecular Pharmacology, Physiology, and Biotechnology, Brown University, Providence, Rhode Island
| | - Dmitry D. Postnov
- Neurophotonics Center, Boston University, Boston, Massachusetts
- Department of Biomedical Sciences, Panum Institute, University of Copenhagen, Copenhagen, Denmark
| | - Olga V. Sosnovtseva
- Department of Biomedical Sciences, Panum Institute, University of Copenhagen, Copenhagen, Denmark
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Mastantuono T, Starita N, Battiloro L, Di Maro M, Chiurazzi M, Nasti G, Muscariello E, Cesarelli M, Iuppariello L, D'Addio G, Gorbach A, Colantuoni A, Lapi D. Laser Speckle Imaging of Rat Pial Microvasculature during Hypoperfusion-Reperfusion Damage. Front Cell Neurosci 2017; 11:298. [PMID: 28993725 PMCID: PMC5622169 DOI: 10.3389/fncel.2017.00298] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2017] [Accepted: 09/06/2017] [Indexed: 11/13/2022] Open
Abstract
The present study was aimed to in vivo assess the blood flow oscillatory patterns in rat pial microvessels during 30 min bilateral common carotid artery occlusion (BCCAO) and 60 min reperfusion by laser speckle imaging (LSI). Pial microcirculation was visualized by fluorescence microscopy. The blood flow oscillations of single microvessels were recorded by LSI; spectral analysis was performed by Wavelet transform. Under baseline conditions, arterioles and venules were characterized by blood flow oscillations in the frequency ranges 0.005-0.0095 Hz, 0.0095-0.021 Hz, 0.021-0.052 Hz, 0.052-0.150 Hz and 0.150-0.500 Hz. Arterioles showed oscillations with the highest spectral density when compared with venules. Moreover, the frequency components in the ranges 0.052-0.150 Hz and 0.150-0.500 were predominant in the arteriolar total power spectrum; while, the frequency component in the range 0.150-0.500 Hz showed the highest spectral density in venules. After 30 min BCCAO, the arteriolar spectral density decreased compared to baseline; moreover, the arteriolar frequency component in the range 0.052-0.150 Hz significantly decreased in percent spectral density, while the frequency component in the range 0.150-0.500 Hz significantly increased in percent spectral density. However, an increase in arteriolar spectral density was detected at 60 min reperfusion compared to BCCAO values; consequently, an increase in percent spectral density of the frequency component in the range 0.052-0.150 Hz was observed, while the percent spectral density of the frequency component in the range 0.150-0.500 Hz significantly decreased. The remaining frequency components did not significantly change during hypoperfusion and reperfusion. The changes in blood flow during hypoperfusion/reperfusion caused tissue damage in the cortex and striatum of all animals. In conclusion, our data demonstrate that the frequency component in the range 0.052-0.150 Hz, related to myogenic activity, was significantly impaired by hypoperfusion and reperfusion, affecting cerebral blood flow distribution and causing tissue damage.
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Affiliation(s)
- Teresa Mastantuono
- Department of Clinical Medicine and Surgery, "Federico II" University Medical SchoolNaples, Italy
| | - Noemy Starita
- Molecular Biology and Viral Oncology Unit, Istituto Nazionale Tumori IRCCS-"Fondazione G.Pascale"Naples, Italy
| | - Laura Battiloro
- Department of Clinical Medicine and Surgery, "Federico II" University Medical SchoolNaples, Italy
| | - Martina Di Maro
- Department of Clinical Medicine and Surgery, "Federico II" University Medical SchoolNaples, Italy
| | - Martina Chiurazzi
- Department of Clinical Medicine and Surgery, "Federico II" University Medical SchoolNaples, Italy
| | - Gilda Nasti
- Department of Clinical Medicine and Surgery, "Federico II" University Medical SchoolNaples, Italy
| | - Espedita Muscariello
- Department of Clinical Medicine and Surgery, "Federico II" University Medical SchoolNaples, Italy
| | - Mario Cesarelli
- Department of Biomedical, Electronics and TLC Engineering, University of Naples, "Federico II"Naples, Italy
| | - Luigi Iuppariello
- Department of Biomedical, Electronics and TLC Engineering, University of Naples, "Federico II"Naples, Italy
| | | | - Alexander Gorbach
- Infrared Imaging & Thermometry Unit, NIBIB, National Institutes of HealthBethesda, MD, United States
| | - Antonio Colantuoni
- Department of Clinical Medicine and Surgery, "Federico II" University Medical SchoolNaples, Italy
| | - Dominga Lapi
- Department of Clinical Medicine and Surgery, "Federico II" University Medical SchoolNaples, Italy
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7
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Mitrou N, Braam B, Cupples WA. A gap junction inhibitor, carbenoxolone, induces spatiotemporal dispersion of renal cortical perfusion and impairs autoregulation. Am J Physiol Heart Circ Physiol 2016; 311:H582-91. [PMID: 27371687 DOI: 10.1152/ajpheart.00941.2015] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Accepted: 06/27/2016] [Indexed: 11/22/2022]
Abstract
Renal autoregulation dynamics originating from the myogenic response (MR) and tubuloglomerular feedback (TGF) can synchronize over large regions of the kidney surface, likely through gap junction-mediated electrotonic conduction and reflecting distributed operation of autoregulation. We tested the hypotheses that inhibition of gap junctions reduces spatial synchronization of autoregulation dynamics, abrogates spatial and temporal smoothing of renal perfusion, and impairs renal autoregulation. In male Long-Evans rats, we infused the gap junction inhibitor carbenoxolone (CBX) or the related glycyrrhizic acid (GZA) that does not block gap junctions into the renal artery and monitored renal blood flow (RBF) and surface perfusion by laser speckle contrast imaging. Neither CBX nor GZA altered RBF or mean surface perfusion. CBX preferentially increased spatial and temporal variation in the distribution of surface perfusion, increased spatial variation in the operating frequencies of the MR and TGF, and reduced phase coherence of TGF and increased its dispersion. CBX, but not GZA, impaired dynamic and steady-state autoregulation. Separately, infusion of the Rho kinase inhibitor Y-27632 paralyzed smooth muscle, grossly impaired dynamic autoregulation, and monotonically increased spatial variation of surface perfusion. These data suggest CBX inhibited gap junction communication, which in turn reduced the ability of TGF to synchronize among groups of nephrons. The results indicate that impaired autoregulation resulted from degraded synchronization, rather than the reverse. We show that network behavior in the renal vasculature is necessary for effective RBF autoregulation.
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Affiliation(s)
- Nicholas Mitrou
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada; and
| | - Branko Braam
- Department of Physiology and Department of Medicine, Division of Nephrology and Immunology, University of Alberta, Edmonton, Alberta, Canada
| | - William A Cupples
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada; and
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Sgouralis I, Maroulas V, Layton AT. Transfer Function Analysis of Dynamic Blood Flow Control in the Rat Kidney. Bull Math Biol 2016; 78:923-60. [PMID: 27173401 DOI: 10.1007/s11538-016-0168-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2015] [Accepted: 04/15/2016] [Indexed: 10/21/2022]
Abstract
Renal blood flow is regulated by the myogenic response (MR) and tubuloglomerular feedback (TGF). Both mechanisms function to buffer not only steady pressure perturbations but also transient ones. In this study, we develop two models of renal autoregulation-a comprehensive model and a simplified model-and use them to analyze the individual contributions of MR and TGF in buffering transient pressure perturbations. Both models represent a single nephron of a rat kidney together with the associated vasculature. The comprehensive model includes detailed representation of the vascular properties and cellular processes. In contrast, the simplified model represents a minimal set of key processes. To assess the degree to which fluctuations in renal perfusion pressure at different frequencies are attenuated, we derive a transfer function for each model. The transfer functions of both models predict resonance at 45 and 180 mHz, which are associated with TGF and MR, respectively, effective autoregulation below [Formula: see text]100 mHz, and amplification of pressure perturbations above [Formula: see text]200 mHz. The predictions are in good agreement with experimental findings.
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Affiliation(s)
- Ioannis Sgouralis
- National Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN, USA.
| | | | - Anita T Layton
- Department of Mathematics, Duke University, Durham, NC, USA
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Mitrou N, Morrison S, Mousavi P, Braam B, Cupples WA. Transient impairment of dynamic renal autoregulation in early diabetes mellitus in rats. Am J Physiol Regul Integr Comp Physiol 2015; 309:R892-901. [DOI: 10.1152/ajpregu.00247.2015] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Accepted: 07/31/2015] [Indexed: 01/01/2023]
Abstract
Renal autoregulation is impaired in early (1 wk) diabetes mellitus (DM) induced by streptozotocin, but effective in established DM (4 wk). Furthermore nitric oxide synthesis (NOS) inhibition with NG-nitro-l-arginine methyl ester (l-NAME) significantly improved autoregulation in early DM but not in established DM. We hypothesized that autoregulation is transiently impaired in early DM because of increased NO availability in the kidney. Because of the conflicting evidence available for a role of NO in DM, we tested the hypothesis that DM reduces autoregulation effectiveness by reducing the spatial similarity of autoregulation. Male Long-Evans rats were divided into control (CON) and diabetic (DM; streptozotocin) groups and followed for either 1 wk (CON1, n = 6; DM1, n = 5) or 4 wk (CON4, n = 7; DM4, n = 7). At the end of the experiment, dynamic autoregulation was assessed in isoflurane-anesthetized rats by whole kidney RBF during baseline, NOS1 inhibition, and nonselective NOS inhibition. Kidney surface perfusion, monitored with laser speckle contrast imaging, was used to assess spatial heterogeneity of autoregulation. Autoregulation was significantly impaired in DM1 rats and not impaired in DM4 rats. l-NAME caused strong renal vasoconstriction in all rats, but did not significantly affect autoregulation dynamics. Autoregulation was more spatially heterogeneous in DM1, but not DM4. Therefore, our results, which are consistent with transient impairment of autoregulation in DM, argue against the hypothesis that this impairment is NO-dependent, and suggest that spatial properties of autoregulation may also contribute to reduced autoregulatory effectiveness in DM1.
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Affiliation(s)
- Nicholas Mitrou
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Sidney Morrison
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Paymon Mousavi
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Branko Braam
- Division of Nephrology and Immunology, University of Alberta, Edmonton, Alberta, Canada; and
- Department of Physiology, University of Alberta, Edmonton, Alberta, Canada
| | - William A. Cupples
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
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Mitrou N, Scully CG, Braam B, Chon KH, Cupples WA. Laser speckle contrast imaging reveals large-scale synchronization of cortical autoregulation dynamics influenced by nitric oxide. Am J Physiol Renal Physiol 2015; 308:F661-70. [PMID: 25587114 DOI: 10.1152/ajprenal.00022.2014] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2014] [Accepted: 01/08/2015] [Indexed: 11/22/2022] Open
Abstract
Synchronization of tubuloglomerular feedback (TGF) dynamics in nephrons that share a cortical radial artery is well known. It is less clear whether synchronization extends beyond a single cortical radial artery or whether it extends to the myogenic response (MR). We used LSCI to examine cortical perfusion dynamics in isoflurane-anesthetized, male Long-Evans rats. Inhibition of nitric oxide synthases by N(ω)-nitro-l-arginine methyl ester (l-NAME) was used to alter perfusion dynamics. Phase coherence (PC) was determined between all possible pixel pairs in either the MR or TGF band (0.09-0.3 and 0.015-0.06 Hz, respectively). The field of view (≈4 × 5 mm) was segmented into synchronized clusters based on mutual PC. During the control period, the field of view was often contained within one cluster for both MR and TGF. PC was moderate for TGF and modest for MR, although significant in both. In both MR and TGF, PC exhibited little spatial variation. After l-NAME, the number of clusters increased in both MR and TGF. MR clusters became more strongly synchronized while TGF clusters showed small highly coupled, high-PC regions that were coupled with low PC to the remainder of the cluster. Graph theory analysis probed modularity of synchronization. It confirmed weak synchronization of MR during control that probably was not physiologically relevant. It confirmed extensive and long-distance synchronization of TGF during control and showed increased modularity, albeit with larger modules seen in MR than in TGF after l-NAME. The results show widespread synchronization of MR and TGF that is differentially affected by nitric oxide.
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Affiliation(s)
- Nicholas Mitrou
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Christopher G Scully
- Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, Massachusetts; and
| | - Branko Braam
- Department of Medicine and Department of Physiology, University of Alberta, Edmonton, Alberta, Canada
| | - Ki H Chon
- Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, Massachusetts; and
| | - William A Cupples
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada;
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