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99 Feasibility of Deep Learning-based Automatic Myofiber Size Measurement for Burn-induced Muscle Wasting and Its Reversal

INTRODUCTION: Patients with major burn injury (BI) often develop muscle wasting (MW) and mitochondrial dysfunctions (MD), which affect their prognosis. We have recently shown that auto/mitophagy response is defective in BI model and can be mitigate by trehalose treatment. Though auto/mitophagy is wi...

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Autores principales: Morinaga, Hiroyuki, Sugawara, Yoh, Chen, Jingyuan, Martyn, Jeevendra, Yasuhara, Shingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8945527/
http://dx.doi.org/10.1093/jbcr/irac012.102
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author Morinaga, Hiroyuki
Sugawara, Yoh
Chen, Jingyuan
Martyn, Jeevendra
Yasuhara, Shingo
author_facet Morinaga, Hiroyuki
Sugawara, Yoh
Chen, Jingyuan
Martyn, Jeevendra
Yasuhara, Shingo
author_sort Morinaga, Hiroyuki
collection PubMed
description INTRODUCTION: Patients with major burn injury (BI) often develop muscle wasting (MW) and mitochondrial dysfunctions (MD), which affect their prognosis. We have recently shown that auto/mitophagy response is defective in BI model and can be mitigate by trehalose treatment. Though auto/mitophagy is widely accepted as the quality control (QC) system of cellular components including mitochondria, the relationship among MD, auto/mitophagy response defect, and MW was unclear. Furthermore, to evaluate MW precisely by morphometric analyses was difficult, due to the ehavy workload of counting the size of muscle cross sectional area manually and analyzing the data. Thus, we have set up a streamline of whole section image capturing, analyzing with cutting edge deep learning-based method, processing it via image J-based program. Using this system, we have tested the efficacy of trehalose on mitigating MW in BI-treated mice. METHODS: First, the effect of auto/mitophagy modulator on normalizing defective auto/mitiophagy maturation was confirmed by in vivo microscopy of tfLC3-expressing mice with BI (30% BSA) or sham-burn (SB) control. A mitophagy inducer, CCCP was injected to induce mitophagy, and the auto/mitophagosome maturation was monitored with or without trehalose treatment. In a separate experiment, tibialis muscles were harvested at post-burn day (PBD)-7, with or without trehalose treatment (2g/kg/day, i.p.), cryosectioned, and stained by anti-laminin antibody. The entire tissue cross-sectional microscopic images were captured, fed into a cellpose, and processed in ImageJ and Prizm for automatic calculation of the cross sectional area (CSA). RESULTS: In vivo microscopic monitoring of auto/mitophagosome maturation revealed BI-induced maturation defect when treated by CCCP, which was rescued by trehalose treatment. Next, with MW analysis experiment, cross-sectional morphometric analysis of tibialis anterior myofibers showed a typical bi-phasic pattern of CSA distribution (large size population and small size population) in the control group. BI treatment showed a significant CSA decrease in both populations, which was effectively treated by trehalose. The average CSA was as follows (1843.0, 1245.3, 1683.9 for SB control, BI, BI+trehalose, respectively, in micron^2), and in accordance with manual counting measurement. CONCLUSIONS: Normalizing defective auto/mitophagy response was shown an effective therapeutic approach to mitigate BI-induced MW. Deep learning-based size counting method is a feasible technique for a systematic MW analysis. Note that in our data, trehalose does not function in increasing the basal level of autophagy, but it mitigates the defective response of auto/mitophagy to the auto/mitophagic stimulation, by normalizing the maturation process.
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spelling pubmed-89455272022-03-28 99 Feasibility of Deep Learning-based Automatic Myofiber Size Measurement for Burn-induced Muscle Wasting and Its Reversal Morinaga, Hiroyuki Sugawara, Yoh Chen, Jingyuan Martyn, Jeevendra Yasuhara, Shingo J Burn Care Res Correlative XIII: Translational Sciences: Critical Care and Metabolism INTRODUCTION: Patients with major burn injury (BI) often develop muscle wasting (MW) and mitochondrial dysfunctions (MD), which affect their prognosis. We have recently shown that auto/mitophagy response is defective in BI model and can be mitigate by trehalose treatment. Though auto/mitophagy is widely accepted as the quality control (QC) system of cellular components including mitochondria, the relationship among MD, auto/mitophagy response defect, and MW was unclear. Furthermore, to evaluate MW precisely by morphometric analyses was difficult, due to the ehavy workload of counting the size of muscle cross sectional area manually and analyzing the data. Thus, we have set up a streamline of whole section image capturing, analyzing with cutting edge deep learning-based method, processing it via image J-based program. Using this system, we have tested the efficacy of trehalose on mitigating MW in BI-treated mice. METHODS: First, the effect of auto/mitophagy modulator on normalizing defective auto/mitiophagy maturation was confirmed by in vivo microscopy of tfLC3-expressing mice with BI (30% BSA) or sham-burn (SB) control. A mitophagy inducer, CCCP was injected to induce mitophagy, and the auto/mitophagosome maturation was monitored with or without trehalose treatment. In a separate experiment, tibialis muscles were harvested at post-burn day (PBD)-7, with or without trehalose treatment (2g/kg/day, i.p.), cryosectioned, and stained by anti-laminin antibody. The entire tissue cross-sectional microscopic images were captured, fed into a cellpose, and processed in ImageJ and Prizm for automatic calculation of the cross sectional area (CSA). RESULTS: In vivo microscopic monitoring of auto/mitophagosome maturation revealed BI-induced maturation defect when treated by CCCP, which was rescued by trehalose treatment. Next, with MW analysis experiment, cross-sectional morphometric analysis of tibialis anterior myofibers showed a typical bi-phasic pattern of CSA distribution (large size population and small size population) in the control group. BI treatment showed a significant CSA decrease in both populations, which was effectively treated by trehalose. The average CSA was as follows (1843.0, 1245.3, 1683.9 for SB control, BI, BI+trehalose, respectively, in micron^2), and in accordance with manual counting measurement. CONCLUSIONS: Normalizing defective auto/mitophagy response was shown an effective therapeutic approach to mitigate BI-induced MW. Deep learning-based size counting method is a feasible technique for a systematic MW analysis. Note that in our data, trehalose does not function in increasing the basal level of autophagy, but it mitigates the defective response of auto/mitophagy to the auto/mitophagic stimulation, by normalizing the maturation process. Oxford University Press 2022-03-23 /pmc/articles/PMC8945527/ http://dx.doi.org/10.1093/jbcr/irac012.102 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Burn Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Correlative XIII: Translational Sciences: Critical Care and Metabolism
Morinaga, Hiroyuki
Sugawara, Yoh
Chen, Jingyuan
Martyn, Jeevendra
Yasuhara, Shingo
99 Feasibility of Deep Learning-based Automatic Myofiber Size Measurement for Burn-induced Muscle Wasting and Its Reversal
title 99 Feasibility of Deep Learning-based Automatic Myofiber Size Measurement for Burn-induced Muscle Wasting and Its Reversal
title_full 99 Feasibility of Deep Learning-based Automatic Myofiber Size Measurement for Burn-induced Muscle Wasting and Its Reversal
title_fullStr 99 Feasibility of Deep Learning-based Automatic Myofiber Size Measurement for Burn-induced Muscle Wasting and Its Reversal
title_full_unstemmed 99 Feasibility of Deep Learning-based Automatic Myofiber Size Measurement for Burn-induced Muscle Wasting and Its Reversal
title_short 99 Feasibility of Deep Learning-based Automatic Myofiber Size Measurement for Burn-induced Muscle Wasting and Its Reversal
title_sort 99 feasibility of deep learning-based automatic myofiber size measurement for burn-induced muscle wasting and its reversal
topic Correlative XIII: Translational Sciences: Critical Care and Metabolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8945527/
http://dx.doi.org/10.1093/jbcr/irac012.102
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