Improved capacity to evaluate changes in intestinal mucosal surface area using mathematical modeling
Quantification of intestinal mucosal growth typically relies on morphometric parameters, commonly villus height, as a surrogate for presumed changes in mucosal surface area (MSA). We hypothesized that using mathematical modeling based on multiple unique measurements would improve discrimination of t...
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Veröffentlicht in: | Microscopy research and technique 2017-07, Vol.80 (7), p.793-798 |
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description | Quantification of intestinal mucosal growth typically relies on morphometric parameters, commonly villus height, as a surrogate for presumed changes in mucosal surface area (MSA). We hypothesized that using mathematical modeling based on multiple unique measurements would improve discrimination of the effects of interventions on MSA compared to standard measures. To determine the ability of mathematical modeling to resolve differences in MSA, a mouse model with enhanced serotonin (5HT) signaling known to stimulate mucosal growth was used. 5‐HT signaling is potentiated by targeting the serotonin reuptake transporter (SERT) molecule. Selective serotonin reuptake inhibitor‐treated wild‐type (WT‐SSRI), SERT‐knockout (SERTKO), and wild‐type C57Bl/6 (WT) mice were used. Distal ileal sections were H&E‐stained. Villus height (VH), width (VW), crypt width (CW), and bowel diameter were used to calculate surface area enlargement factor (SEF) and MSA. VH alone for SERTKO and SSRI was significantly increased compared to WT, without a difference between SERTKO and WT‐SSRI. VW and CW were significantly decreased for both SERTKO and WT‐SSRI compared to WT, and VW for WT‐SSRI was also decreased compared to SERTKO. These changes increased SEF and MSA for SERTKO and WT‐SSRI compared to WT. Additionally, SEF and MSA were significantly increased for WT‐SSRI compared to SERTKO. Mathematical modeling provides a valuable tool for differentiating changes in intestinal MSA. This more comprehensive assessment of surface area does not appear to correlate linearly with standard morphometric measures and represents a more comprehensive method for discriminating between therapies aimed at increasing functional intestinal mucosa.
Evaluation of changes to the intestinal mucosa commonly relies on histologic measures. Using a novel and accurate method for calculating mucosal surface area, we found significant differences between experimental groups which were missed by standard measures alone. |
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Evaluation of changes to the intestinal mucosa commonly relies on histologic measures. Using a novel and accurate method for calculating mucosal surface area, we found significant differences between experimental groups which were missed by standard measures alone.</description><identifier>ISSN: 1059-910X</identifier><identifier>EISSN: 1097-0029</identifier><identifier>DOI: 10.1002/jemt.22866</identifier><identifier>PMID: 28295852</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Animals ; Antidepressants ; Cell Proliferation ; Correlation analysis ; Enlargement ; Inhibitors ; Intestinal Mucosa - cytology ; Intestinal Mucosa - growth & development ; Intestinal Mucosa - physiology ; Intestine ; Intestines - anatomy & histology ; Intestines - cytology ; Male ; mathematical modeling ; Mathematical models ; Mice ; Mice, Inbred C57BL ; Mice, Knockout ; Models, Theoretical ; morphometric ; mouse model ; Mucosa ; mucosal growth ; mucosal surface area ; Rodents ; Serotonin ; Serotonin - administration & dosage ; Serotonin - deficiency ; Serotonin transporter ; Serotonin uptake inhibitors ; Signal Transduction ; Surface area ; Surface Properties ; Villus</subject><ispartof>Microscopy research and technique, 2017-07, Vol.80 (7), p.793-798</ispartof><rights>2017 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3576-69debd2361eb93bfb0bdbeab09c3c4a8e478dd05c76ab4feb3c9d956471c372c3</citedby><cites>FETCH-LOGICAL-c3576-69debd2361eb93bfb0bdbeab09c3c4a8e478dd05c76ab4feb3c9d956471c372c3</cites><orcidid>0000-0002-3375-9158</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjemt.22866$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjemt.22866$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28295852$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Greig, Chasen J.</creatorcontrib><creatorcontrib>Cowles, Robert A.</creatorcontrib><title>Improved capacity to evaluate changes in intestinal mucosal surface area using mathematical modeling</title><title>Microscopy research and technique</title><addtitle>Microsc Res Tech</addtitle><description>Quantification of intestinal mucosal growth typically relies on morphometric parameters, commonly villus height, as a surrogate for presumed changes in mucosal surface area (MSA). We hypothesized that using mathematical modeling based on multiple unique measurements would improve discrimination of the effects of interventions on MSA compared to standard measures. To determine the ability of mathematical modeling to resolve differences in MSA, a mouse model with enhanced serotonin (5HT) signaling known to stimulate mucosal growth was used. 5‐HT signaling is potentiated by targeting the serotonin reuptake transporter (SERT) molecule. Selective serotonin reuptake inhibitor‐treated wild‐type (WT‐SSRI), SERT‐knockout (SERTKO), and wild‐type C57Bl/6 (WT) mice were used. Distal ileal sections were H&E‐stained. Villus height (VH), width (VW), crypt width (CW), and bowel diameter were used to calculate surface area enlargement factor (SEF) and MSA. VH alone for SERTKO and SSRI was significantly increased compared to WT, without a difference between SERTKO and WT‐SSRI. VW and CW were significantly decreased for both SERTKO and WT‐SSRI compared to WT, and VW for WT‐SSRI was also decreased compared to SERTKO. These changes increased SEF and MSA for SERTKO and WT‐SSRI compared to WT. Additionally, SEF and MSA were significantly increased for WT‐SSRI compared to SERTKO. Mathematical modeling provides a valuable tool for differentiating changes in intestinal MSA. This more comprehensive assessment of surface area does not appear to correlate linearly with standard morphometric measures and represents a more comprehensive method for discriminating between therapies aimed at increasing functional intestinal mucosa.
Evaluation of changes to the intestinal mucosa commonly relies on histologic measures. Using a novel and accurate method for calculating mucosal surface area, we found significant differences between experimental groups which were missed by standard measures alone.</description><subject>Animals</subject><subject>Antidepressants</subject><subject>Cell Proliferation</subject><subject>Correlation analysis</subject><subject>Enlargement</subject><subject>Inhibitors</subject><subject>Intestinal Mucosa - cytology</subject><subject>Intestinal Mucosa - growth & development</subject><subject>Intestinal Mucosa - physiology</subject><subject>Intestine</subject><subject>Intestines - anatomy & histology</subject><subject>Intestines - cytology</subject><subject>Male</subject><subject>mathematical modeling</subject><subject>Mathematical models</subject><subject>Mice</subject><subject>Mice, Inbred C57BL</subject><subject>Mice, Knockout</subject><subject>Models, Theoretical</subject><subject>morphometric</subject><subject>mouse model</subject><subject>Mucosa</subject><subject>mucosal growth</subject><subject>mucosal surface area</subject><subject>Rodents</subject><subject>Serotonin</subject><subject>Serotonin - administration & dosage</subject><subject>Serotonin - deficiency</subject><subject>Serotonin transporter</subject><subject>Serotonin uptake inhibitors</subject><subject>Signal Transduction</subject><subject>Surface area</subject><subject>Surface Properties</subject><subject>Villus</subject><issn>1059-910X</issn><issn>1097-0029</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1Lw0AQhhdRtFYv_gBZ8CJC6m6S_TpKqVqpeKngLezHpKbko2aTSv-9W1s9eBCGmWF4eJn3ReiCkhElJL5dQtWN4lhyfoAGlCgRhas63O5MRYqStxN06v2SEEoZTY_RSSxjxSSLB8hNq1XbrMFhq1faFt0Gdw2GtS573QG277pegMdFHaoD3xW1LnHV28aH6fs21xawbkHj3hf1Ale6e4fQCrvlGgdluJ6ho1yXHs73c4he7yfz8WM0e3mYju9mkU2Y4BFXDoyLE07BqMTkhhhnQBuibGJTLSEV0jnCrODapDmYxCqnGE8FtYmIbTJE1zvdYOmjD99mVeEtlKWuoel9RqUQkjEuSUCv_qDLpm-DuUApmkgqOBWButlRtm28byHPVm1R6XaTUZJts8-22Wff2Qf4ci_ZmwrcL_oTdgDoDvgsStj8I5U9TZ7nO9EvYFqQ-A</recordid><startdate>201707</startdate><enddate>201707</enddate><creator>Greig, Chasen J.</creator><creator>Cowles, Robert A.</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QP</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7SS</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7U7</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3375-9158</orcidid></search><sort><creationdate>201707</creationdate><title>Improved capacity to evaluate changes in intestinal mucosal surface area using mathematical modeling</title><author>Greig, Chasen J. ; Cowles, Robert A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3576-69debd2361eb93bfb0bdbeab09c3c4a8e478dd05c76ab4feb3c9d956471c372c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Animals</topic><topic>Antidepressants</topic><topic>Cell Proliferation</topic><topic>Correlation analysis</topic><topic>Enlargement</topic><topic>Inhibitors</topic><topic>Intestinal Mucosa - cytology</topic><topic>Intestinal Mucosa - growth & development</topic><topic>Intestinal Mucosa - physiology</topic><topic>Intestine</topic><topic>Intestines - anatomy & histology</topic><topic>Intestines - cytology</topic><topic>Male</topic><topic>mathematical modeling</topic><topic>Mathematical models</topic><topic>Mice</topic><topic>Mice, Inbred C57BL</topic><topic>Mice, Knockout</topic><topic>Models, Theoretical</topic><topic>morphometric</topic><topic>mouse model</topic><topic>Mucosa</topic><topic>mucosal growth</topic><topic>mucosal surface area</topic><topic>Rodents</topic><topic>Serotonin</topic><topic>Serotonin - administration & dosage</topic><topic>Serotonin - deficiency</topic><topic>Serotonin transporter</topic><topic>Serotonin uptake inhibitors</topic><topic>Signal Transduction</topic><topic>Surface area</topic><topic>Surface Properties</topic><topic>Villus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Greig, Chasen J.</creatorcontrib><creatorcontrib>Cowles, Robert A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Microscopy research and technique</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Greig, Chasen J.</au><au>Cowles, Robert A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improved capacity to evaluate changes in intestinal mucosal surface area using mathematical modeling</atitle><jtitle>Microscopy research and technique</jtitle><addtitle>Microsc Res Tech</addtitle><date>2017-07</date><risdate>2017</risdate><volume>80</volume><issue>7</issue><spage>793</spage><epage>798</epage><pages>793-798</pages><issn>1059-910X</issn><eissn>1097-0029</eissn><abstract>Quantification of intestinal mucosal growth typically relies on morphometric parameters, commonly villus height, as a surrogate for presumed changes in mucosal surface area (MSA). We hypothesized that using mathematical modeling based on multiple unique measurements would improve discrimination of the effects of interventions on MSA compared to standard measures. To determine the ability of mathematical modeling to resolve differences in MSA, a mouse model with enhanced serotonin (5HT) signaling known to stimulate mucosal growth was used. 5‐HT signaling is potentiated by targeting the serotonin reuptake transporter (SERT) molecule. Selective serotonin reuptake inhibitor‐treated wild‐type (WT‐SSRI), SERT‐knockout (SERTKO), and wild‐type C57Bl/6 (WT) mice were used. Distal ileal sections were H&E‐stained. Villus height (VH), width (VW), crypt width (CW), and bowel diameter were used to calculate surface area enlargement factor (SEF) and MSA. VH alone for SERTKO and SSRI was significantly increased compared to WT, without a difference between SERTKO and WT‐SSRI. VW and CW were significantly decreased for both SERTKO and WT‐SSRI compared to WT, and VW for WT‐SSRI was also decreased compared to SERTKO. These changes increased SEF and MSA for SERTKO and WT‐SSRI compared to WT. Additionally, SEF and MSA were significantly increased for WT‐SSRI compared to SERTKO. Mathematical modeling provides a valuable tool for differentiating changes in intestinal MSA. This more comprehensive assessment of surface area does not appear to correlate linearly with standard morphometric measures and represents a more comprehensive method for discriminating between therapies aimed at increasing functional intestinal mucosa.
Evaluation of changes to the intestinal mucosa commonly relies on histologic measures. Using a novel and accurate method for calculating mucosal surface area, we found significant differences between experimental groups which were missed by standard measures alone.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>28295852</pmid><doi>10.1002/jemt.22866</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-3375-9158</orcidid></addata></record> |
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subjects | Animals Antidepressants Cell Proliferation Correlation analysis Enlargement Inhibitors Intestinal Mucosa - cytology Intestinal Mucosa - growth & development Intestinal Mucosa - physiology Intestine Intestines - anatomy & histology Intestines - cytology Male mathematical modeling Mathematical models Mice Mice, Inbred C57BL Mice, Knockout Models, Theoretical morphometric mouse model Mucosa mucosal growth mucosal surface area Rodents Serotonin Serotonin - administration & dosage Serotonin - deficiency Serotonin transporter Serotonin uptake inhibitors Signal Transduction Surface area Surface Properties Villus |
title | Improved capacity to evaluate changes in intestinal mucosal surface area using mathematical modeling |
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