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Lowe AL, Rivera Santana MV, Bopp T, Quinn KN, Johnson J, Ward C, Chung TH, Tuffaha S, Thakor NV. Volume loss during muscle reinnervation surgery is correlated with reduced CMAP amplitude but not reduced force output in a rat hindlimb model. Front Physiol 2024; 15:1328520. [PMID: 38426207 PMCID: PMC10902164 DOI: 10.3389/fphys.2024.1328520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 02/01/2024] [Indexed: 03/02/2024] Open
Abstract
Introduction: Muscle reinnervation (MR) surgery offers rehabilitative benefits to amputees by taking severely damaged nerves and providing them with new denervated muscle targets (DMTs). However, the influence of physical changes to muscle tissue during MR surgery on long-term functional outcomes remains understudied. Methods: Our rat hindlimb model of MR surgery utilizes vascularized, directly neurotized DMTs made from the lateral gastrocnemius (LG), which we employed to assess the impact of muscle tissue size on reinnervation outcomes, specifically pairing the DMT with the transected peroneal nerve. We conducted MR surgery with both DMTs at full volume and DMTs with partial volume loss of 500 mg at the time of surgery (n = 6 per group) and measured functional outcomes after 100 days of reinnervation. Compound motor action potentials (CMAPs) and isometric tetanic force production was recorded from reinnervated DMTs and compared to contralateral naïve LG muscles as positive controls. Results: Reinnervated DMTs consistently exhibited lower mass than positive controls, while DMTs with partial volume loss showed no significant mass reduction compared to full volume DMTs (p = 0.872). CMAP amplitudes were lower on average in reinnervated DMTs, but a broad linear correlation also exists between muscle mass and maximum CMAP amplitude irrespective of surgical group (R2 = 0.495). Surprisingly, neither MR group, with or without volume loss, demonstrated decreased force compared to positive controls. The average force output of reinnervated DMTs, as a fraction of the contralateral LG's force output, approached 100% for both MR groups, a notable deviation from the 9.6% (±6.3%) force output observed in our negative control group at 7 days post-surgery. Tissue histology analysis revealed few significant differences except for a marked decrease in average muscle fiber area of reinnervated DMTs with volume loss compared to positive controls (p = 0.001). Discussion: The results from our rat model of MR suggests that tissue electrophysiology (CMAPs) and kinesiology (force production) may recover on different time scales, with volumetric muscle loss at the time of MR surgery not significantly reducing functional outcome measurements for the DMTs after 100 days of reinnervation.
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Affiliation(s)
- Alexis L. Lowe
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | | | - Taylor Bopp
- Department of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Kiara N. Quinn
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Johnnie Johnson
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Christopher Ward
- Department of Orthopedics, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Tae Hwan Chung
- Department of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Sami Tuffaha
- Department of Plastic and Reconstructive Surgery, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Nitish V. Thakor
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, United States
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2
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Kronsteiner B, Zopf LM, Heimel P, Oberoi G, Kramer AM, Slezak P, Weninger WJ, Podesser BK, Kiss A, Moscato F. Mapping the functional anatomy and topography of the cardiac autonomic innervation for selective cardiac neuromodulation using MicroCT. Front Cell Dev Biol 2022; 10:968870. [PMID: 36172280 PMCID: PMC9511100 DOI: 10.3389/fcell.2022.968870] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 08/24/2022] [Indexed: 01/21/2023] Open
Abstract
Background: Vagus nerve stimulation (VNS) has gained great importance as a promising therapy for a myriad of diseases. Of particular interest is the therapy of cardiovascular diseases, such as heart failure or atrial fibrillation using selective cardiac VNS. However, there is still a lack of organ-specific anatomical knowledge about the fascicular anatomy and topography of the cardiac branch (CB), which diminishes the therapeutic possibilities for selective cardiac neuromodulation. Here, we established a topographical and anatomical map of the superior cardiac VN in two animal species to dissect cervical and cardiac VN morphology.Methods: Autonomic nerves including superior CBs were harvested from domestic pigs and New Zeeland rabbits followed by imaging with microcomputed tomography (µCT) and 3D rendering. The data were analyzed in terms of relevant topographical and anatomical parameters.Results: Our data showed that cardiac vagal fascicles remained separated from other VN fascicles up to 22.19 mm (IQR 14.02–41.30 mm) in pigs and 7.68 mm (IQR 4.06–12.77 mm) in rabbits from the CB point and then started merging with other fascicles. Exchanges of nerve fascicles between sympathetic trunk (ST) and VN were observed in 3 out of 11 nerves, which might cause additional unwanted effects in unselective VNS. Our 3D rendered digital model of the cardiac fascicles was generated showing that CB first remained on the medial side where it branched off the VN, as also shown in the µCT data of 11 pig nerves, and then migrated towards the ventromedial site the further it was traced cranially.Conclusion: Our data provided an anatomical map of the cardiac vagal branches including cervical VN and ST for future approaches of selective cardiac neurostimulation, indicating the best position of selective cardiac VNS just above the CB point.
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Affiliation(s)
- Bettina Kronsteiner
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria
- *Correspondence: Francesco Moscato, ; Bettina Kronsteiner,
| | - Lydia M. Zopf
- AUVA Research Centre, Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, Vienna, Austria
| | - Patrick Heimel
- AUVA Research Centre, Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, Vienna, Austria
- Austrian Cluster for Tissue Regeneration, Vienna, Austria
- Karl Donath Laboratory for Hard Tissue and Biomaterial Research, University Dental Clinic Vienna, Vienna, Austria
| | - Gunpreet Oberoi
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Anne M. Kramer
- Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria
| | - Paul Slezak
- AUVA Research Centre, Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, Vienna, Austria
- Austrian Cluster for Tissue Regeneration, Vienna, Austria
| | - Wolfgang J. Weninger
- Department of Anatomy, Center for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria
- Division of Anatomy, Center for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria
| | - Bruno K. Podesser
- Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria
| | - Attila Kiss
- Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria
| | - Francesco Moscato
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria
- Austrian Cluster for Tissue Regeneration, Vienna, Austria
- *Correspondence: Francesco Moscato, ; Bettina Kronsteiner,
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3
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Moiseev AA, Achkasova KA, Kiseleva EB, Yashin KS, Potapov AL, Bederina EL, Kuznetsov SS, Sherstnev EP, Shabanov DV, Gelikonov GV, Ostrovskaya YV, Gladkova ND. Brain white matter morphological structure correlation with its optical properties estimated from optical coherence tomography (OCT) data. BIOMEDICAL OPTICS EXPRESS 2022; 13:2393-2413. [PMID: 35519266 PMCID: PMC9045907 DOI: 10.1364/boe.457467] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 03/07/2022] [Indexed: 05/11/2023]
Abstract
A pilot post-mortem study identifies a strong correlation between the attenuation coefficient estimated from the OCT data and some morphological features of the sample, namely the number of nuclei in the field of view of the histological image and the fiber structural parameter introduced in the study to quantify the difference in the myelinated fibers arrangements. The morphological features were identified from the histopathological images of the sample taken from the same locations as the OCT images and stained with the immunohistochemical (IHC) staining specific to the myelin. It was shown that the linear regression of the IHC quantitative characteristics allows adequate prediction of the attenuation coefficient of the sample. This discovery opens the opportunity for the usage of the OCT as a neuronavigation tool.
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Affiliation(s)
- Alexander A. Moiseev
- Institute of Applied Physics Russian Academy of Sciences, 603155, 46, Ulyanova str., Nizhny Novgorod, Russia
| | - Ksenia A. Achkasova
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
| | - Elena B. Kiseleva
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
| | - Konstantin S. Yashin
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
| | - Arseniy L. Potapov
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
| | - Evgenia L. Bederina
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
| | - Sergey S. Kuznetsov
- N.A. Semashko Nizhny Novgorod Regional Clinical Hospital, 603093, 190, Rodionova str., Nizhny Novgorod, Russia
| | - Evgeny P. Sherstnev
- Institute of Applied Physics Russian Academy of Sciences, 603155, 46, Ulyanova str., Nizhny Novgorod, Russia
| | - Dmitry V. Shabanov
- Institute of Applied Physics Russian Academy of Sciences, 603155, 46, Ulyanova str., Nizhny Novgorod, Russia
| | - Grigory V. Gelikonov
- Institute of Applied Physics Russian Academy of Sciences, 603155, 46, Ulyanova str., Nizhny Novgorod, Russia
| | | | - Natalia D. Gladkova
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
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4
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Waisman A, Norris AM, Elías Costa M, Kopinke D. Automatic and unbiased segmentation and quantification of myofibers in skeletal muscle. Sci Rep 2021; 11:11793. [PMID: 34083673 PMCID: PMC8175575 DOI: 10.1038/s41598-021-91191-6] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 05/24/2021] [Indexed: 12/05/2022] Open
Abstract
Skeletal muscle has the remarkable ability to regenerate. However, with age and disease muscle strength and function decline. Myofiber size, which is affected by injury and disease, is a critical measurement to assess muscle health. Here, we test and apply Cellpose, a recently developed deep learning algorithm, to automatically segment myofibers within murine skeletal muscle. We first show that tissue fixation is necessary to preserve cellular structures such as primary cilia, small cellular antennae, and adipocyte lipid droplets. However, fixation generates heterogeneous myofiber labeling, which impedes intensity-based segmentation. We demonstrate that Cellpose efficiently delineates thousands of individual myofibers outlined by a variety of markers, even within fixed tissue with highly uneven myofiber staining. We created a novel ImageJ plugin (LabelsToRois) that allows processing of multiple Cellpose segmentation images in batch. The plugin also contains a semi-automatic erosion function to correct for the area bias introduced by the different stainings, thereby identifying myofibers as accurately as human experts. We successfully applied our segmentation pipeline to uncover myofiber regeneration differences between two different muscle injury models, cardiotoxin and glycerol. Thus, Cellpose combined with LabelsToRois allows for fast, unbiased, and reproducible myofiber quantification for a variety of staining and fixation conditions.
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Affiliation(s)
- Ariel Waisman
- CONICET - Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI), Laboratorio de Investigación Aplicada a Neurociencias (LIAN), Buenos Aires, Argentina.
| | - Alessandra Marie Norris
- Department of Pharmacology and Therapeutics, University of Florida College of Medicine, Gainesville, 32610, FL, USA.,Myology Institute, University of Florida College of Medicine, Gainesville, FL, USA
| | | | - Daniel Kopinke
- Department of Pharmacology and Therapeutics, University of Florida College of Medicine, Gainesville, 32610, FL, USA. .,Myology Institute, University of Florida College of Medicine, Gainesville, FL, USA.
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5
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Chen TC, Kuo T, Dandan M, Lee RA, Chang M, Villivalam SD, Liao SC, Costello D, Shankaran M, Mohammed H, Kang S, Hellerstein MK, Wang JC. The role of striated muscle Pik3r1 in glucose and protein metabolism following chronic glucocorticoid exposure. J Biol Chem 2021; 296:100395. [PMID: 33567340 PMCID: PMC8010618 DOI: 10.1016/j.jbc.2021.100395] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 01/29/2021] [Accepted: 02/04/2021] [Indexed: 11/03/2022] Open
Abstract
Chronic glucocorticoid exposure causes insulin resistance and muscle atrophy in skeletal muscle. We previously identified phosphoinositide-3-kinase regulatory subunit 1 (Pik3r1) as a primary target gene of skeletal muscle glucocorticoid receptors involved in the glucocorticoid-mediated suppression of insulin action. However, the in vivo functions of Pik3r1 remain unclear. Here, we generated striated muscle-specific Pik3r1 knockout (MKO) mice and treated them with a dexamethasone (DEX), a synthetic glucocorticoid. Treating wildtype (WT) mice with DEX attenuated insulin activated Akt activity in liver, epididymal white adipose tissue, and gastrocnemius (GA) muscle. This DEX effect was diminished in GA muscle of MKO mice, therefore, resulting in improved glucose and insulin tolerance in DEX-treated MKO mice. Stable isotope labeling techniques revealed that in WT mice, DEX treatment decreased protein fractional synthesis rates in GA muscle. Furthermore, histology showed that in WT mice, DEX treatment reduced GA myotube diameters. In MKO mice, myotube diameters were smaller than in WT mice, and there were more fast oxidative fibers. Importantly, DEX failed to further reduce myotube diameters. Pik3r1 knockout also decreased basal protein synthesis rate (likely caused by lower 4E-BP1 phosphorylation at Thr37/Thr46) and curbed the ability of DEX to attenuate protein synthesis rate. Finally, the ability of DEX to inhibit eIF2α phosphorylation and insulin-induced 4E-BP1 phosphorylation was reduced in MKO mice. Taken together, these results demonstrate the role of Pik3r1 in glucocorticoid-mediated effects on glucose and protein metabolism in skeletal muscle.
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Affiliation(s)
- Tzu-Chieh Chen
- Metabolic Biology Graduate Program, University of California Berkeley, Berkeley, California, USA; Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA
| | - Taiyi Kuo
- Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA; Endocrinology Graduate Program, University of California Berkeley, Berkeley, California, USA
| | - Mohamad Dandan
- Metabolic Biology Graduate Program, University of California Berkeley, Berkeley, California, USA; Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA
| | - Rebecca A Lee
- Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA; Endocrinology Graduate Program, University of California Berkeley, Berkeley, California, USA
| | - Maggie Chang
- Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA; Endocrinology Graduate Program, University of California Berkeley, Berkeley, California, USA
| | - Sneha D Villivalam
- Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA; Endocrinology Graduate Program, University of California Berkeley, Berkeley, California, USA
| | - Szu-Chi Liao
- Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA; Endocrinology Graduate Program, University of California Berkeley, Berkeley, California, USA
| | - Damian Costello
- Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA; Endocrinology Graduate Program, University of California Berkeley, Berkeley, California, USA
| | - Mahalakshmi Shankaran
- Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA
| | - Hussein Mohammed
- Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA
| | - Sona Kang
- Metabolic Biology Graduate Program, University of California Berkeley, Berkeley, California, USA; Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA; Endocrinology Graduate Program, University of California Berkeley, Berkeley, California, USA
| | - Marc K Hellerstein
- Metabolic Biology Graduate Program, University of California Berkeley, Berkeley, California, USA; Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA; Endocrinology Graduate Program, University of California Berkeley, Berkeley, California, USA
| | - Jen-Chywan Wang
- Metabolic Biology Graduate Program, University of California Berkeley, Berkeley, California, USA; Department of Nutritional Sciences & Toxicology, University of California Berkeley, Berkeley, California, USA; Endocrinology Graduate Program, University of California Berkeley, Berkeley, California, USA.
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6
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Encarnacion-Rivera L, Foltz S, Hartzell HC, Choo H. Myosoft: An automated muscle histology analysis tool using machine learning algorithm utilizing FIJI/ImageJ software. PLoS One 2020; 15:e0229041. [PMID: 32130242 PMCID: PMC7055860 DOI: 10.1371/journal.pone.0229041] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 01/28/2020] [Indexed: 11/18/2022] Open
Abstract
METHODS Muscle sections were stained for cell boundary (laminin) and myofiber type (myosin heavy chain isoforms). Myosoft, running in the open access software platform FIJI (ImageJ), was used to analyze myofiber size and type in transverse sections of entire gastrocnemius/soleus muscles. RESULTS Myosoft provides an accurate analysis of hundreds to thousands of muscle fibers within 25 minutes, which is >10-times faster than manual analysis. We demonstrate that Myosoft is capable of handling high-content images even when image or staining quality is suboptimal, which is a marked improvement over currently available and comparable programs. CONCLUSIONS Myosoft is a reliable, accurate, high-throughput, and convenient tool to analyze high-content muscle histology. Myosoft is freely available to download from Github at https://github.com/Hyojung-Choo/Myosoft/tree/Myosoft-hub.
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Affiliation(s)
- Lucas Encarnacion-Rivera
- Department of Cell Biology, School of Medicine, Emory University, Atlanta, Georgia, United States of America
- Undergraduate program in Neuroscience and Behavioral Biology, School of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Steven Foltz
- Department of Cell Biology, School of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - H. Criss Hartzell
- Department of Cell Biology, School of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Hyojung Choo
- Department of Cell Biology, School of Medicine, Emory University, Atlanta, Georgia, United States of America
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7
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Kunzke T, Buck A, Prade VM, Feuchtinger A, Prokopchuk O, Martignoni ME, Heisz S, Hauner H, Janssen KP, Walch A, Aichler M. Derangements of amino acids in cachectic skeletal muscle are caused by mitochondrial dysfunction. J Cachexia Sarcopenia Muscle 2020; 11:226-240. [PMID: 31965747 PMCID: PMC7015243 DOI: 10.1002/jcsm.12498] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 07/12/2019] [Accepted: 08/25/2019] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Cachexia is the direct cause of at least 20% of cancer-associated deaths. Muscle wasting in skeletal muscle results in weakness, immobility, and death secondary to impaired respiratory muscle function. Muscle proteins are massively degraded in cachexia; nevertheless, the molecular mechanisms related to this process are poorly understood. Previous studies have reported conflicting results regarding the amino acid abundances in cachectic skeletal muscle tissues. There is a clear need to identify the molecular processes of muscle metabolism in the context of cachexia, especially how different types of molecules are involved in the muscle wasting process. METHODS New in situ -omics techniques were used to produce a more comprehensive picture of amino acid metabolism in cachectic muscles by determining the quantities of amino acids, proteins, and cellular metabolites. Using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging, we determined the in situ concentrations of amino acids and proteins, as well as energy and other cellular metabolites, in skeletal muscle tissues from genetic mouse cancer models (n = 21) and from patients with cancer (n = 6). Combined results from three individual MALDI mass spectrometry imaging methods were obtained and interpreted. Immunohistochemistry staining for mitochondrial proteins and myosin heavy chain expression, digital image analysis, and transmission electron microscopy complemented the MALDI mass spectrometry imaging results. RESULTS Metabolic derangements in cachectic mouse muscle tissues were detected, with significantly increased quantities of lysine, arginine, proline, and tyrosine (P = 0.0037, P = 0.0048, P = 0.0430, and P = 0.0357, respectively) and significantly reduced quantities of glutamate and aspartate (P = 0.0008 and P = 0.0124). Human skeletal muscle tissues revealed similar tendencies. A majority of altered amino acids were released by the breakdown of proteins involved in oxidative phosphorylation. Decreased energy charge was observed in cachectic muscle tissues (P = 0.0101), which was related to the breakdown of specific proteins. Additionally, expression of the cationic amino acid transporter CAT1 was significantly decreased in the mitochondria of cachectic mouse muscles (P = 0.0133); this decrease may play an important role in the alterations of cationic amino acid metabolism and decreased quantity of glutamate observed in cachexia. CONCLUSIONS Our results suggest that mitochondrial dysfunction has a substantial influence on amino acid metabolism in cachectic skeletal muscles, which appears to be triggered by diminished CAT1 expression, as well as the degradation of mitochondrial proteins. These findings provide new insights into the pathobiochemistry of muscle wasting.
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Affiliation(s)
- Thomas Kunzke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Oberschleißheim, Germany
| | - Achim Buck
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Oberschleißheim, Germany
| | - Verena M Prade
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Oberschleißheim, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Oberschleißheim, Germany
| | - Olga Prokopchuk
- Department of Surgery, Klinikum rechts der Isar, TUM, Munich, Germany
| | - Marc E Martignoni
- Department of Surgery, Klinikum rechts der Isar, TUM, Munich, Germany
| | - Simone Heisz
- Else Kroener-Fresenius-Center for Nutritional Medicine, Klinikum rechts der Isar, TUM, Munich, Germany.,ZIEL-Institute for Food and Health, Nutritional Medicine Unit, TUM, Freising, Germany
| | - Hans Hauner
- Else Kroener-Fresenius-Center for Nutritional Medicine, Klinikum rechts der Isar, TUM, Munich, Germany.,ZIEL-Institute for Food and Health, Nutritional Medicine Unit, TUM, Freising, Germany
| | | | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Oberschleißheim, Germany
| | - Michaela Aichler
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Oberschleißheim, Germany
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8
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Bergmeister KD, Aman M, Muceli S, Vujaklija I, Manzano-Szalai K, Unger E, Byrne RA, Scheinecker C, Riedl O, Salminger S, Frommlet F, Borschel GH, Farina D, Aszmann OC. Peripheral nerve transfers change target muscle structure and function. SCIENCE ADVANCES 2019; 5:eaau2956. [PMID: 30613770 PMCID: PMC6314825 DOI: 10.1126/sciadv.aau2956] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Accepted: 11/26/2018] [Indexed: 05/05/2023]
Abstract
Selective nerve transfers surgically rewire motor neurons and are used in extremity reconstruction to restore muscle function or to facilitate intuitive prosthetic control. We investigated the neurophysiological effects of rewiring motor axons originating from spinal motor neuron pools into target muscles with lower innervation ratio in a rat model. Following reinnervation, the target muscle's force regenerated almost completely, with the motor unit population increasing to 116% in functional and 172% in histological assessments with subsequently smaller muscle units. Muscle fiber type populations transformed into the donor nerve's original muscles. We thus demonstrate that axons of alternative spinal origin can hyper-reinnervate target muscles without loss of muscle force regeneration, but with a donor-specific shift in muscle fiber type. These results explain the excellent clinical outcomes following nerve transfers in neuromuscular reconstruction. They indicate that reinnervated muscles can provide an accurate bioscreen to display neural information of lost body parts for high-fidelity prosthetic control.
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Affiliation(s)
- Konstantin D. Bergmeister
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria
- Center for Biomedical Research, Medical University of Vienna, Vienna, Austria
| | - Martin Aman
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria
- Center for Biomedical Research, Medical University of Vienna, Vienna, Austria
| | - Silvia Muceli
- Department of Bioengineering, Imperial College London, London, UK
- Clinic for Trauma Surgery, Orthopaedic Surgery and Plastic Surgery–Research Department of Neurorehabilitation Systems, University Medical Center Göttingen, Göttingen, Germany
| | - Ivan Vujaklija
- Department of Bioengineering, Imperial College London, London, UK
| | - Krisztina Manzano-Szalai
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria
| | - Ewald Unger
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Ruth A. Byrne
- Division of Rheumatology, Clinic for Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Clemens Scheinecker
- Division of Rheumatology, Clinic for Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Otto Riedl
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria
| | - Stefan Salminger
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria
- Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna, Austria
| | - Florian Frommlet
- Center for Medical Statistics, Informatics and Intelligent Systems, Section for Medical Statistics, Medical University of Vienna, Vienna, Austria
| | - Gregory H. Borschel
- Division of Plastic and Reconstructive Surgery, The Hospital for Sick Children, Toronto, ON, Canada
| | - Dario Farina
- Department of Bioengineering, Imperial College London, London, UK
| | - Oskar C. Aszmann
- CD Laboratory for the Restoration of Extremity Function, Department of Surgery, Medical University of Vienna, Vienna, Austria
- Division of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna, Austria
- Corresponding author.
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9
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Mayeuf-Louchart A, Hardy D, Thorel Q, Roux P, Gueniot L, Briand D, Mazeraud A, Bouglé A, Shorte SL, Staels B, Chrétien F, Duez H, Danckaert A. MuscleJ: a high-content analysis method to study skeletal muscle with a new Fiji tool. Skelet Muscle 2018; 8:25. [PMID: 30081940 PMCID: PMC6091189 DOI: 10.1186/s13395-018-0171-0] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 07/20/2018] [Indexed: 11/22/2022] Open
Abstract
Background Skeletal muscle has the capacity to adapt to environmental changes and regenerate upon injury. To study these processes, most experimental methods use quantification of parameters obtained from images of immunostained skeletal muscle. Muscle cross-sectional area, fiber typing, localization of nuclei within the muscle fiber, the number of vessels, and fiber-associated stem cells are used to assess muscle physiology. Manual quantification of these parameters is time consuming and only poorly reproducible. While current state-of-the-art software tools are unable to analyze all these parameters simultaneously, we have developed MuscleJ, a new bioinformatics tool to do so. Methods Running on the popular open source Fiji software platform, MuscleJ simultaneously analyzes parameters from immunofluorescent staining, imaged by different acquisition systems in a completely automated manner. Results After segmentation of muscle fibers, up to three other channels can be analyzed simultaneously. Dialog boxes make MuscleJ easy-to-use for biologists. In addition, we have implemented color in situ cartographies of results, allowing the user to directly visualize results on reconstituted muscle sections. Conclusion We report here that MuscleJ results were comparable to manual observations made by five experts. MuscleJ markedly enhances statistical analysis by allowing reliable comparison of skeletal muscle physiology-pathology results obtained from different laboratories using different acquisition systems. Providing fast robust multi-parameter analyses of skeletal muscle physiology-pathology, MuscleJ is available as a free tool for the skeletal muscle community. Electronic supplementary material The online version of this article (10.1186/s13395-018-0171-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alicia Mayeuf-Louchart
- Inserm, CHU Lille, Institut Pasteur de Lille, University of Lille, U1011 - EGID, 1 rue du Pr. Calmette, F-59000, Lille, France.
| | - David Hardy
- Experimental Neuropathology Unit, Infection and Epidemiology Department, Institut Pasteur, 25, rue du Docteur Roux, 75015, Paris, France
| | - Quentin Thorel
- Inserm, CHU Lille, Institut Pasteur de Lille, University of Lille, U1011 - EGID, 1 rue du Pr. Calmette, F-59000, Lille, France
| | - Pascal Roux
- UTechS PBI (Imagopole)-Citech, Institut Pasteur, 25, rue du Docteur Roux, 75015, Paris, France
| | - Lorna Gueniot
- Experimental Neuropathology Unit, Infection and Epidemiology Department, Institut Pasteur, 25, rue du Docteur Roux, 75015, Paris, France
| | - David Briand
- Experimental Neuropathology Unit, Infection and Epidemiology Department, Institut Pasteur, 25, rue du Docteur Roux, 75015, Paris, France
| | - Aurélien Mazeraud
- Experimental Neuropathology Unit, Infection and Epidemiology Department, Institut Pasteur, 25, rue du Docteur Roux, 75015, Paris, France
| | - Adrien Bouglé
- Experimental Neuropathology Unit, Infection and Epidemiology Department, Institut Pasteur, 25, rue du Docteur Roux, 75015, Paris, France
| | - Spencer L Shorte
- UTechS PBI (Imagopole)-Citech, Institut Pasteur, 25, rue du Docteur Roux, 75015, Paris, France
| | - Bart Staels
- Inserm, CHU Lille, Institut Pasteur de Lille, University of Lille, U1011 - EGID, 1 rue du Pr. Calmette, F-59000, Lille, France
| | - Fabrice Chrétien
- Experimental Neuropathology Unit, Infection and Epidemiology Department, Institut Pasteur, 25, rue du Docteur Roux, 75015, Paris, France
| | - Hélène Duez
- Inserm, CHU Lille, Institut Pasteur de Lille, University of Lille, U1011 - EGID, 1 rue du Pr. Calmette, F-59000, Lille, France
| | - Anne Danckaert
- Experimental Neuropathology Unit, Infection and Epidemiology Department, Institut Pasteur, 25, rue du Docteur Roux, 75015, Paris, France. .,UTechS PBI (Imagopole)-Citech, Institut Pasteur, 25, rue du Docteur Roux, 75015, Paris, France.
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