Serveur d'exploration sur le lymphœdème

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Dual-channel in-situ optical imaging system for quantifying lipid uptake and lymphatic pump function

Identifieur interne : 002A44 ( Pmc/Checkpoint ); précédent : 002A43; suivant : 002A45

Dual-channel in-situ optical imaging system for quantifying lipid uptake and lymphatic pump function

Auteurs : Timothy Kassis [Géorgie (pays)] ; Alison B. Kohan [États-Unis] ; Michael J. Weiler [Géorgie (pays)] ; Matthew E. Nipper [Géorgie (pays)] ; Rachel Cornelius [Géorgie (pays)] ; Patrick Tso [États-Unis] ; J. Brandon Dixon [Géorgie (pays)]

Source :

RBID : PMC:3413897

Abstract

Abstract.

Nearly all dietary lipids are transported from the intestine to venous circulation through the lymphatic system, yet the mechanisms that regulate this process remain unclear. Elucidating the mechanisms involved in the functional response of lymphatics to changes in lipid load would provide valuable insight into recent implications of lymphatic dysfunction in lipid related diseases. Therefore, we sought to develop an in situ imaging system to quantify and correlate lymphatic function as it relates to lipid transport. The imaging platform provides the capability of dual-channel imaging of both high-speed bright-field video and fluorescence simultaneously. Utilizing post-acquisition image processing algorithms, we can quantify correlations between vessel pump function, lymph flow, and lipid concentration of mesenteric lymphatic vessels in situ. All image analysis is automated with customized LabVIEW virtual instruments; local flow is measured through lymphocyte velocity tracking, vessel contraction through measurements of the vessel wall displacement, and lipid uptake through fluorescence intensity tracking of an orally administered fluorescently labelled fatty acid analogue, BODIPY FL C16. This system will prove to be an invaluable tool for scientists studying intestinal lymphatic function in health and disease, and those investigating strategies for targeting the lymphatics with orally delivered drugs to avoid first pass metabolism.


Url:
DOI: 10.1117/1.JBO.17.8.086005
PubMed: 23224192
PubMed Central: 3413897


Affiliations:


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PMC:3413897

Le document en format XML

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<p>Nearly all dietary lipids are transported from the intestine to venous circulation through the lymphatic system, yet the mechanisms that regulate this process remain unclear. Elucidating the mechanisms involved in the functional response of lymphatics to changes in lipid load would provide valuable insight into recent implications of lymphatic dysfunction in lipid related diseases. Therefore, we sought to develop an
<italic>in situ</italic>
imaging system to quantify and correlate lymphatic function as it relates to lipid transport. The imaging platform provides the capability of dual-channel imaging of both high-speed bright-field video and fluorescence simultaneously. Utilizing post-acquisition image processing algorithms, we can quantify correlations between vessel pump function, lymph flow, and lipid concentration of mesenteric lymphatic vessels
<italic>in situ</italic>
. All image analysis is automated with customized LabVIEW virtual instruments; local flow is measured through lymphocyte velocity tracking, vessel contraction through measurements of the vessel wall displacement, and lipid uptake through fluorescence intensity tracking of an orally administered fluorescently labelled fatty acid analogue, BODIPY FL
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. This system will prove to be an invaluable tool for scientists studying intestinal lymphatic function in health and disease, and those investigating strategies for targeting the lymphatics with orally delivered drugs to avoid first pass metabolism.</p>
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<article-title>Dual-channel
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optical imaging system for quantifying lipid uptake and lymphatic pump function</article-title>
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<contrib contrib-type="author">
<name>
<surname>Kassis</surname>
<given-names>Timothy</given-names>
</name>
<xref ref-type="aff" rid="aff1">a</xref>
<xref ref-type="aff" rid="aff2">b</xref>
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<contrib contrib-type="author">
<name>
<surname>Kohan</surname>
<given-names>Alison B.</given-names>
</name>
<xref ref-type="aff" rid="aff5">e</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Weiler</surname>
<given-names>Michael J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">a</xref>
<xref ref-type="aff" rid="aff4">d</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nipper</surname>
<given-names>Matthew E.</given-names>
</name>
<xref ref-type="aff" rid="aff1">a</xref>
<xref ref-type="aff" rid="aff3">c</xref>
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<contrib contrib-type="author">
<name>
<surname>Cornelius</surname>
<given-names>Rachel</given-names>
</name>
<xref ref-type="aff" rid="aff4">d</xref>
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<contrib contrib-type="author">
<name>
<surname>Tso</surname>
<given-names>Patrick</given-names>
</name>
<xref ref-type="aff" rid="aff5">e</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Brandon Dixon</surname>
<given-names>J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">a</xref>
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, Parker H. Petit Institute for Bioengineering and Bioscience, Atlanta, Georgia</aff>
<aff id="aff2">
<label>b</label>
<institution>Georgia Institute of Technology</institution>
, School of Electrical and Computer Engineering, Atlanta, Georgia</aff>
<aff id="aff3">
<label>c</label>
<institution>Georgia Institute of Technology</institution>
, George W. Woodruff School of Mechanical Engineering, Atlanta, Georgia</aff>
<aff id="aff4">
<label>d</label>
<institution>Georgia Institute of Technology</institution>
, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia</aff>
<aff id="aff5">
<label>e</label>
<institution>University of Cincinnati</institution>
, Department of Pathology and Laboratory Medicine, Cincinnati, Ohio</aff>
</contrib-group>
<author-notes>
<corresp id="cor1">Address all correspondence to: J. Brandon Dixon, Georgia Institute of Technology, Parker H. Petit Institute for Bioengineering and Bioscience, 315 Ferst Dr., Atlanta, Georgia 30332. Tel: (404) 385-3915; Fax: (404) 385-1397; E-mail:
<email>dixon@gatech.edu</email>
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<pub-date pub-type="epub">
<day>7</day>
<month>8</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="ppub">
<month>8</month>
<year>2012</year>
</pub-date>
<volume>17</volume>
<issue>8</issue>
<elocation-id>086005</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>5</month>
<year>2012</year>
</date>
<date date-type="rev-recd">
<day>9</day>
<month>7</month>
<year>2012</year>
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<date date-type="accepted">
<day>11</day>
<month>7</month>
<year>2012</year>
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<copyright-statement>© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)</copyright-statement>
<copyright-year>2012</copyright-year>
<copyright-holder>Society of Photo-Optical Instrumentation Engineers</copyright-holder>
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<abstract>
<title>Abstract.</title>
<p>Nearly all dietary lipids are transported from the intestine to venous circulation through the lymphatic system, yet the mechanisms that regulate this process remain unclear. Elucidating the mechanisms involved in the functional response of lymphatics to changes in lipid load would provide valuable insight into recent implications of lymphatic dysfunction in lipid related diseases. Therefore, we sought to develop an
<italic>in situ</italic>
imaging system to quantify and correlate lymphatic function as it relates to lipid transport. The imaging platform provides the capability of dual-channel imaging of both high-speed bright-field video and fluorescence simultaneously. Utilizing post-acquisition image processing algorithms, we can quantify correlations between vessel pump function, lymph flow, and lipid concentration of mesenteric lymphatic vessels
<italic>in situ</italic>
. All image analysis is automated with customized LabVIEW virtual instruments; local flow is measured through lymphocyte velocity tracking, vessel contraction through measurements of the vessel wall displacement, and lipid uptake through fluorescence intensity tracking of an orally administered fluorescently labelled fatty acid analogue, BODIPY FL
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. This system will prove to be an invaluable tool for scientists studying intestinal lymphatic function in health and disease, and those investigating strategies for targeting the lymphatics with orally delivered drugs to avoid first pass metabolism.</p>
</abstract>
<kwd-group>
<title>Keywords:</title>
<kwd>lymphatic vessel imaging</kwd>
<kwd>mesentery lymphatic vessel</kwd>
<kwd>
<italic>in vivo</italic>
motion compensation</kwd>
<kwd>diameter tracking</kwd>
<kwd>lipid transport</kwd>
<kwd>lymph flow</kwd>
<kwd>BODIPY C16</kwd>
<kwd>lipid uptake</kwd>
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<award-id>R00 HL091133</award-id>
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<fig-count count="11"></fig-count>
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<meta-value>Kassis et al.: Dual-channel
<italic>in-situ</italic>
optical imaging system for quantifying lipid uptake…</meta-value>
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</pmc>
<affiliations>
<list>
<country>
<li>Géorgie (pays)</li>
<li>États-Unis</li>
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<region>
<li>Ohio</li>
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<name sortKey="Kassis, Timothy" sort="Kassis, Timothy" uniqKey="Kassis T" first="Timothy" last="Kassis">Timothy Kassis</name>
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<name sortKey="Brandon Dixon, J" sort="Brandon Dixon, J" uniqKey="Brandon Dixon J" first="J." last="Brandon Dixon">J. Brandon Dixon</name>
<name sortKey="Brandon Dixon, J" sort="Brandon Dixon, J" uniqKey="Brandon Dixon J" first="J." last="Brandon Dixon">J. Brandon Dixon</name>
<name sortKey="Brandon Dixon, J" sort="Brandon Dixon, J" uniqKey="Brandon Dixon J" first="J." last="Brandon Dixon">J. Brandon Dixon</name>
<name sortKey="Cornelius, Rachel" sort="Cornelius, Rachel" uniqKey="Cornelius R" first="Rachel" last="Cornelius">Rachel Cornelius</name>
<name sortKey="Kassis, Timothy" sort="Kassis, Timothy" uniqKey="Kassis T" first="Timothy" last="Kassis">Timothy Kassis</name>
<name sortKey="Nipper, Matthew E" sort="Nipper, Matthew E" uniqKey="Nipper M" first="Matthew E." last="Nipper">Matthew E. Nipper</name>
<name sortKey="Nipper, Matthew E" sort="Nipper, Matthew E" uniqKey="Nipper M" first="Matthew E." last="Nipper">Matthew E. Nipper</name>
<name sortKey="Weiler, Michael J" sort="Weiler, Michael J" uniqKey="Weiler M" first="Michael J." last="Weiler">Michael J. Weiler</name>
<name sortKey="Weiler, Michael J" sort="Weiler, Michael J" uniqKey="Weiler M" first="Michael J." last="Weiler">Michael J. Weiler</name>
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<name sortKey="Kohan, Alison B" sort="Kohan, Alison B" uniqKey="Kohan A" first="Alison B." last="Kohan">Alison B. Kohan</name>
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<name sortKey="Tso, Patrick" sort="Tso, Patrick" uniqKey="Tso P" first="Patrick" last="Tso">Patrick Tso</name>
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