Advancing peristalsis deciphering in mouse small intestine by multi-parameter tracking
Abstract Assessing gastrointestinal motility lacks simultaneous evaluation of intraluminal pressure (ILP), circular muscle (CM) and longitudinal muscle (LM) contraction, and lumen emptying. In this study, a sophisticated machine was developed that synchronized real-time recordings to quantify the in...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-12-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-023-05631-2 |
| _version_ | 1827590331450785792 |
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| author | Anusree Sasidharan Breman Anil Peethambar Keerthi Santhosh Kumar Ashok V. Kumar Arun Hiregange Neil Fawkes James F. Collins Astrid Grosche Sadasivan Vidyasagar |
| author_facet | Anusree Sasidharan Breman Anil Peethambar Keerthi Santhosh Kumar Ashok V. Kumar Arun Hiregange Neil Fawkes James F. Collins Astrid Grosche Sadasivan Vidyasagar |
| author_sort | Anusree Sasidharan |
| collection | DOAJ |
| description | Abstract Assessing gastrointestinal motility lacks simultaneous evaluation of intraluminal pressure (ILP), circular muscle (CM) and longitudinal muscle (LM) contraction, and lumen emptying. In this study, a sophisticated machine was developed that synchronized real-time recordings to quantify the intricate interplay between CM and LM contractions, and their timings for volume changes using high-resolution cameras with machine learning capability, the ILP using pressure transducers and droplet discharge (DD) using droplet counters. Results revealed four distinct phases, B Phase , N Phase , D Phase , and A Phase , distinguished by pressure wave amplitudes. Fluid filling impacted LM strength and contraction frequency initially, followed by CM contraction affecting ILP, volume, and the extent of anterograde, retrograde, and segmental contractions during these phases that result in short or long duration DD. This comprehensive analysis sheds light on peristalsis mechanisms, understand their sequence and how one parameter influenced the other, offering insights for managing peristalsis by regulating smooth muscle contractions. |
| first_indexed | 2024-03-09T01:15:23Z |
| format | Article |
| id | doaj.art-25cae9c107664f3b995093b4aaa2006d |
| institution | Directory Open Access Journal |
| issn | 2399-3642 |
| language | English |
| last_indexed | 2024-03-09T01:15:23Z |
| publishDate | 2023-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj.art-25cae9c107664f3b995093b4aaa2006d2023-12-10T12:28:33ZengNature PortfolioCommunications Biology2399-36422023-12-016111510.1038/s42003-023-05631-2Advancing peristalsis deciphering in mouse small intestine by multi-parameter trackingAnusree Sasidharan0Breman Anil Peethambar1Keerthi Santhosh Kumar2Ashok V. Kumar3Arun Hiregange4Neil Fawkes5James F. Collins6Astrid Grosche7Sadasivan Vidyasagar8Department of Radiation Oncology, University of FloridaDepartment of Radiation Oncology, University of FloridaEntrinsic BioscienceDepartment of Mechanical and Aerospace Engineering, University of FloridaEntrinsic BioscienceEntrinsic BioscienceFood Science and Human Nutrition Department, University of FloridaDepartment of Radiation Oncology, University of FloridaDepartment of Radiation Oncology, University of FloridaAbstract Assessing gastrointestinal motility lacks simultaneous evaluation of intraluminal pressure (ILP), circular muscle (CM) and longitudinal muscle (LM) contraction, and lumen emptying. In this study, a sophisticated machine was developed that synchronized real-time recordings to quantify the intricate interplay between CM and LM contractions, and their timings for volume changes using high-resolution cameras with machine learning capability, the ILP using pressure transducers and droplet discharge (DD) using droplet counters. Results revealed four distinct phases, B Phase , N Phase , D Phase , and A Phase , distinguished by pressure wave amplitudes. Fluid filling impacted LM strength and contraction frequency initially, followed by CM contraction affecting ILP, volume, and the extent of anterograde, retrograde, and segmental contractions during these phases that result in short or long duration DD. This comprehensive analysis sheds light on peristalsis mechanisms, understand their sequence and how one parameter influenced the other, offering insights for managing peristalsis by regulating smooth muscle contractions.https://doi.org/10.1038/s42003-023-05631-2 |
| spellingShingle | Anusree Sasidharan Breman Anil Peethambar Keerthi Santhosh Kumar Ashok V. Kumar Arun Hiregange Neil Fawkes James F. Collins Astrid Grosche Sadasivan Vidyasagar Advancing peristalsis deciphering in mouse small intestine by multi-parameter tracking Communications Biology |
| title | Advancing peristalsis deciphering in mouse small intestine by multi-parameter tracking |
| title_full | Advancing peristalsis deciphering in mouse small intestine by multi-parameter tracking |
| title_fullStr | Advancing peristalsis deciphering in mouse small intestine by multi-parameter tracking |
| title_full_unstemmed | Advancing peristalsis deciphering in mouse small intestine by multi-parameter tracking |
| title_short | Advancing peristalsis deciphering in mouse small intestine by multi-parameter tracking |
| title_sort | advancing peristalsis deciphering in mouse small intestine by multi parameter tracking |
| url | https://doi.org/10.1038/s42003-023-05631-2 |
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