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6. Coordinated Regulation of Myonuclear DNA Methylation, mRNA, and miRNA Levels Associates With the Metabolic Response to Rapid Synergist Ablation-Induced Skeletal Muscle Hypertrophy in Female Mice.

Author

Ismaeel, Ahmed, Thomas, Nicholas T, McCashland, Mariah, Vechetti, Ivan J, Edman, Sebastian, Lanner, Johanna T, Figueiredo, Vandré C, Fry, Christopher S, McCarthy, John J, Wen, Yuan, Murach, Kevin A, and von Walden, Ferdinand

Subjects
SKELETAL muscle, MOLECULAR biology, MUSCULAR hypertrophy, DNA methylation, DNA analysis, IMPRINTED polymers
Abstract

The central dogma of molecular biology dictates the general flow of molecular information from DNA that leads to a functional cellular outcome. In skeletal muscle fibers, the extent to which global myonuclear transcriptional alterations, accounting for epigenetic and post-transcriptional influences, contribute to an adaptive stress response is not clearly defined. In this investigation, we leveraged an integrated analysis of the myonucleus-specific DNA methylome and transcriptome, as well as myonuclear small RNA profiling to molecularly define the early phase of skeletal muscle fiber hypertrophy. The analysis of myonucleus-specific mature microRNA and other small RNA species provides new directions for exploring muscle adaptation and complemented the methylation and transcriptional information. Our integrated multi-omics interrogation revealed a coordinated myonuclear molecular landscape during muscle loading that coincides with an acute and rapid reduction of oxidative metabolism. This response may favor a biosynthesis-oriented metabolic program that supports rapid hypertrophic growth. Graphical Abstract [ABSTRACT FROM AUTHOR]

Published
2024
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7. Extracellular vesicle characteristics and microRNA content in cerebral palsy and typically developed individuals at rest and in response to aerobic exercise

Author

Vechetti, Ivan J., Norrbom, Jessica, Alkner, Björn, Hjalmarsson, Emma, Palmcrantz, Alexandra, Pontén, Eva, Pingel, Jessica, von Walden, Ferdinand, and Fernandez-Gonzalo, Rodrigo

Subjects
exosomes, endurance exercise, miR-486, skeletal muscle, frame running, Idrottsvetenskap, Sport and Fitness Sciences
Abstract

In this study, the properties of circulating extracellular vesicles (EVs) were examined in cerebral palsy (CP) and typically developed (TD) individuals at rest and after aerobic exercise, focusing on the size, concentration, and microRNA cargo of EVs. Nine adult individuals with CP performed a single exercise bout consisting of 45 min of Frame Running, and TD participants completed either 45 min of cycling (n = 10; TD EX) or were enrolled as controls with no exercise (n = 10; TD CON). Blood was drawn before and 30 min after exercise and analyzed for EV concentration, size, and microRNA content. The size of EVs was similar in CP vs. TD, and exercise had no effect. Individuals with CP had an overall lower concentration (∼25%, p < 0.05) of EVs. At baseline, let-7a, let-7b and let-7e were downregulated in individuals with CP compared to TD (p < 0.05), while miR-100 expression was higher, and miR-877 and miR-4433 lower in CP compared to TD after exercise (p < 0.05). Interestingly, miR-486 was upregulated ∼2-fold in the EVs of CP vs. TD both at baseline and after exercise. We then performed an in silico analysis of miR-486 targets and identified the satellite cell stemness factor Pax7 as a target of miR-486. C2C12 myoblasts were cultured with a miR-486 mimetic and RNA-sequencing was performed. Gene enrichment analysis revealed that several genes involved in sarcomerogenesis and extracellular matrix (ECM) were downregulated. Our data suggest that circulating miR-486 transported by EVs is elevated in individuals with CP and that miR-486 alters the transcriptome of myoblasts affecting both ECM- and sarcomerogenesis-related genes, providing a link to the skeletal muscle alterations observed in individuals with CP In this study, the properties of circulating extracellular vesicles (EVs) were examined in cerebral palsy (CP) and typically developed (TD) individuals at rest and after aerobic exercise, focusing on the size, concentration, and microRNA cargo of EVs. Nine adult individuals with CP performed a single exercise bout consisting of 45 min of Frame Running, and TD participants completed either 45 min of cycling (n = 10; TD EX) or were enrolled as controls with no exercise (n = 10; TD CON). Blood was drawn before and 30 min after exercise and analyzed for EV concentration, size, and microRNA content. The size of EVs was similar in CP vs. TD, and exercise had no effect. Individuals with CP had an overall lower concentration (∼25%, p < 0.05) of EVs. At baseline, let-7a, let-7b and let-7e were downregulated in individuals with CP compared to TD (p < 0.05), while miR-100 expression was higher, and miR-877 and miR-4433 lower in CP compared to TD after exercise (p < 0.05). Interestingly, miR-486 was upregulated ∼2-fold in the EVs of CP vs. TD both at baseline and after exercise. We then performed an in silico analysis of miR-486 targets and identified the satellite cell stemness factor Pax7 as a target of miR-486. C2C12 myoblasts were cultured with a miR-486 mimetic and RNA-sequencing was performed. Gene enrichment analysis revealed that several genes involved in sarcomerogenesis and extracellular matrix (ECM) were downregulated. Our data suggest that circulating miR-486 transported by EVs is elevated in individuals with CP and that miR-486 alters the transcriptome of myoblasts affecting both ECM- and sarcomerogenesis-related genes, providing a link to the skeletal muscle alterations observed in individuals with CP.

Published
2022

10. Evidence of myomiR regulation of the pentose phosphate pathway during mechanical load‐induced hypertrophy.

Author

Valentino, Taylor, Figueiredo, Vandre C., Mobley, C. Brooks, McCarthy, John J., and Vechetti, Ivan J.

Subjects
PENTOSE phosphate pathway, MUSCULAR hypertrophy, CELL fusion, METABOLIC regulation, GLUCOSE-6-phosphate dehydrogenase, SKELETAL muscle
Abstract

Many of the molecular and cellular mechanisms discovered to regulate skeletal muscle hypertrophy were first identified using the rodent synergist ablation model. This model reveals the intrinsic capability and necessary pathways of skeletal muscle growth in response to mechanical overload (MOV). Reminiscent of the rapid cellular growth observed with cancer, we hypothesized that in response to MOV, skeletal muscle would undergo metabolic programming to sustain increased demands to support hypertrophy. To test this hypothesis, we analyzed the gene expression of specific metabolic pathways taken from transcriptomic microarray data of a MOV time course. We found an upregulation of genes involved in the oxidative branch of the pentose phosphate pathways (PPP) and mitochondrial branch of the folate cycle suggesting an increase in the production of NADPH. In addition, we sought to determine the potential role of skeletal muscle‐enriched microRNA (myomiRs) and satellite cells in the regulation of the metabolic pathways that changed during MOV. We observed an inverse pattern in gene expression between muscle‐enriched myomiR‐1 and its known target gene glucose‐6‐phosphate dehydrogenase, G6pdx, suggesting myomiR regulation of PPP activation in response to MOV. Satellite cell fusion had a significant but modest impact on PPP gene expression. These transcriptomic findings suggest the robust muscle hypertrophy induced by MOV requires enhanced redox metabolism via PPP production of NADPH which is potentially regulated by a myomiR network. [ABSTRACT FROM AUTHOR]

Published
2021
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11. Dysbiosis of the gut microbiome impairs mouse skeletal muscle adaptation to exercise.

Author

Valentino, Taylor R., Vechetti, Ivan J., Mobley, C. Brooks, Dungan, Cory M., Golden, Lesley, Goh, Jensen, and McCarthy, John J.

Subjects
*GUT microbiome, *DYSBIOSIS, *SKELETAL muscle, *MUSCLE strength, *LABORATORY mice
Abstract

There is emerging evidence of a gut microbiome–skeletal muscle axis. The purpose of this study was to determine if an intact gut microbiome was necessary for skeletal muscle adaptation to exercise. Forty‐two 4‐month‐old female C57BL/6J mice were randomly assigned to untreated (U) or antibiotic‐treated (T) non‐running controls (CU or CT, respectively) or progressive weighted wheel running (PoWeR, P) untreated (PU) or antibiotic‐treated (PT) groups. Antibiotic treatment resulted in disruption of the gut microbiome as indicated by a significant depletion of gut microbiome bacterial species in both CT and PT groups. The training stimulus was the same between PU and PT groups as assessed by weekly (12.35 ± 2.06 vs. 11.09 ± 1.76 km/week, respectively) and total (778.9 ± 130.5 vs. 703.8 ± 112.9 km, respectively) running activity. In response to PoWeR, PT showed less hypertrophy of soleus type 1 and 2a fibres and plantaris type 2b/x fibres compared to PU. The higher satellite cell and myonuclei abundance of PU plantaris muscle after PoWeR was not observed in PT. The fibre‐type shift of PU plantaris muscle to a more oxidative type 2a fibre composition following PoWeR was blunted in PT. There was no difference in serum cytokine levels among all groups suggesting disruption of the gut microbiome did not induce systemic inflammation. The results of this study provide the first evidence that an intact gut microbiome is necessary for skeletal muscle adaptation to exercise. Key points: Dysbiosis of the gut microbiome caused by continuous antibiotic treatment did not affect running activity.Continuous treatment with antibiotics did not result in systemic inflammation as indicated by serum cytokine levels.Gut microbiome dysbiosis was associated with blunted fibre type‐specific hypertrophy in the soleus and plantaris muscles in response to progressive weighted wheel running (PoWeR).Gut microbiome dysbiosis was associated with impaired PoWeR‐induced fibre‐type shift in the plantaris muscle.Gut microbiome dysbiosis was associated with a loss of PoWeR‐induced myonuclei accretion in the plantaris muscle. [ABSTRACT FROM AUTHOR]

Published
2021
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12. Reduced mitochondrial DNA and OXPHOS protein content in skeletal muscle of children with cerebral palsy.

Author

von Walden, Ferdinand, Vechetti, Ivan J, Englund, Davis, Figueiredo, Vandré C, Fernandez‐Gonzalo, Rodrigo, Murach, Kevin, Pingel, Jessica, Mccarthy, John J, Stål, Per, and Pontén, Eva

Subjects
*CHILDREN with cerebral palsy, *TYPE 2 diabetes, *MITOCHONDRIAL DNA, *SKELETAL muscle, *SPECIFIC language impairment in children, *PGC-1 protein, *AEROBIC capacity
Abstract

Skeletal muscle in individuals with CP also contains lower amounts of mtDNA, potentially indicating fewer mitochondria in CP skeletal muscle compared with typically developing muscle. We compared skeletal muscle samples from children with cerebral palsy (CP) and typically developing children and observed evidence of reduced mtDNA and OXPHOS protein content in CP skeletal muscle, indicating reduced mitochondrial abundance. Cerebral palsy (CP) muscle contains fewer energy-generating organelles than typically developing muscle. [Extracted from the article]

Published
2021
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13. Minimal information for studies of extracellular vesicles 2018 (MISEV2018):a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines

Author

Théry, Clotilde, Witwer, Kenneth W, Aikawa, Elena, Alcaraz, Maria Jose, Anderson, Johnathon D, Andriantsitohaina, Ramaroson, Antoniou, Anna, Arab, Tanina, Archer, Fabienne, Atkin-Smith, Georgia K, Ayre, D Craig, Bach, Jean-Marie, Bachurski, Daniel, Baharvand, Hossein, Balaj, Leonora, Baldacchino, Shawn, Bauer, Natalie N, Baxter, Amy A, Bebawy, Mary, Beckham, Carla, Bedina Zavec, Apolonija, Benmoussa, Abderrahim, Berardi, Anna C, Bergese, Paolo, Bielska, Ewa, Blenkiron, Cherie, Bobis-Wozowicz, Sylwia, Boilard, Eric, Boireau, Wilfrid, Bongiovanni, Antonella, Borràs, Francesc E, Bosch, Steffi, Boulanger, Chantal M, Breakefield, Xandra, Breglio, Andrew M, Brennan, Meadhbh Á, Brigstock, David R, Brisson, Alain, Broekman, Marike Ld, Bromberg, Jacqueline F, Bryl-Górecka, Paulina, Buch, Shilpa, Buck, Amy H, Burger, Dylan, Busatto, Sara, Buschmann, Dominik, Bussolati, Benedetta, Buzás, Edit I, Byrd, James Bryan, Camussi, Giovanni, Carter, David Rf, Caruso, Sarah, Chamley, Lawrence W, Chang, Yu-Ting, Chen, Chihchen, Chen, Shuai, Cheng, Lesley, Chin, Andrew R, Clayton, Aled, Clerici, Stefano P, Cocks, Alex, Cocucci, Emanuele, Coffey, Robert J, Cordeiro-da-Silva, Anabela, Couch, Yvonne, Coumans, Frank Aw, Coyle, Beth, Crescitelli, Rossella, Criado, Miria Ferreira, D'Souza-Schorey, Crislyn, Das, Saumya, Datta Chaudhuri, Amrita, de Candia, Paola, De Santana, Eliezer F, De Wever, Olivier, Del Portillo, Hernando A, Demaret, Tanguy, Deville, Sarah, Devitt, Andrew, Dhondt, Bert, Di Vizio, Dolores, Dieterich, Lothar C, Dolo, Vincenza, Dominguez Rubio, Ana Paula, Dominici, Massimo, Dourado, Mauricio R, Driedonks, Tom Ap, Duarte, Filipe V, Duncan, Heather M, Eichenberger, Ramon M, Ekström, Karin, El Andaloussi, Samir, Elie-Caille, Celine, Erdbrügger, Uta, Falcón-Pérez, Juan M, Fatima, Farah, Fish, Jason E, Flores-Bellver, Miguel, Försönits, András, Frelet-Barrand, Annie, Fricke, Fabia, Fuhrmann, Gregor, Gabrielsson, Susanne, Gámez-Valero, Ana, Gardiner, Chris, Gärtner, Kathrin, Gaudin, Raphael, Gho, Yong Song, Giebel, Bernd, Gilbert, Caroline, Gimona, Mario, Giusti, Ilaria, Goberdhan, Deborah Ci, Görgens, André, Gorski, Sharon M, Greening, David W, Gross, Julia Christina, Gualerzi, Alice, Gupta, Gopal N, Gustafson, Dakota, Handberg, Aase, Haraszti, Reka A, Harrison, Paul, Hegyesi, Hargita, Hendrix, An, Hill, Andrew F, Hochberg, Fred H, Hoffmann, Karl F, Holder, Beth, Holthofer, Harry, Hosseinkhani, Baharak, Hu, Guoku, Huang, Yiyao, Huber, Veronica, Hunt, Stuart, Ibrahim, Ahmed Gamal-Eldin, Ikezu, Tsuneya, Inal, Jameel M, Isin, Mustafa, Ivanova, Alena, Jackson, Hannah K, Jacobsen, Soren, Jay, Steven M, Jayachandran, Muthuvel, Jenster, Guido, Jiang, Lanzhou, Johnson, Suzanne M, Jones, Jennifer C, Jong, Ambrose, Jovanovic-Talisman, Tijana, Jung, Stephanie, Kalluri, Raghu, Kano, Shin-Ichi, Kaur, Sukhbir, Kawamura, Yumi, Keller, Evan T, Khamari, Delaram, Khomyakova, Elena, Khvorova, Anastasia, Kierulf, Peter, Kim, Kwang Pyo, Kislinger, Thomas, Klingeborn, Mikael, Klinke, David J, Kornek, Miroslaw, Kosanović, Maja M, Kovács, Árpád Ferenc, Krämer-Albers, Eva-Maria, Krasemann, Susanne, Krause, Mirja, Kurochkin, Igor V, Kusuma, Gina D, Kuypers, Sören, Laitinen, Saara, Langevin, Scott M, Languino, Lucia R, Lannigan, Joanne, Lässer, Cecilia, Laurent, Louise C, Lavieu, Gregory, Lázaro-Ibáñez, Elisa, Le Lay, Soazig, Lee, Myung-Shin, Lee, Yi Xin Fiona, Lemos, Debora S, Lenassi, Metka, Leszczynska, Aleksandra, Li, Isaac Ts, Liao, Ke, Libregts, Sten F, Ligeti, Erzsebet, Lim, Rebecca, Lim, Sai Kiang, Linē, Aija, Linnemannstöns, Karen, Llorente, Alicia, Lombard, Catherine A, Lorenowicz, Magdalena J, Lörincz, Ákos M, Lötvall, Jan, Lovett, Jason, Lowry, Michelle C, Loyer, Xavier, Lu, Quan, Lukomska, Barbara, Lunavat, Taral R, Maas, Sybren Ln, Malhi, Harmeet, Marcilla, Antonio, Mariani, Jacopo, Mariscal, Javier, Martens-Uzunova, Elena S, Martin-Jaular, Lorena, Martinez, M Carmen, Martins, Vilma Regina, Mathieu, Mathilde, Mathivanan, Suresh, Maugeri, Marco, McGinnis, Lynda K, McVey, Mark J, Meckes, David G, Meehan, Katie L, Mertens, Inge, Minciacchi, Valentina R, Möller, Andreas, Møller Jørgensen, Malene, Morales-Kastresana, Aizea, Morhayim, Jess, Mullier, François, Muraca, Maurizio, Musante, Luca, Mussack, Veronika, Muth, Dillon C, Myburgh, Kathryn H, Najrana, Tanbir, Nawaz, Muhammad, Nazarenko, Irina, Nejsum, Peter, Neri, Christian, Neri, Tommaso, Nieuwland, Rienk, Nimrichter, Leonardo, Nolan, John P, Nolte-'t Hoen, Esther NM, Noren Hooten, Nicole, O'Driscoll, Lorraine, O'Grady, Tina, O'Loghlen, Ana, Ochiya, Takahiro, Olivier, Martin, Ortiz, Alberto, Ortiz, Luis A, Osteikoetxea, Xabier, Østergaard, Ole, Ostrowski, Matias, Park, Jaesung, Pegtel, D Michiel, Peinado, Hector, Perut, Francesca, Pfaffl, Michael W, Phinney, Donald G, Pieters, Bartijn Ch, Pink, Ryan C, Pisetsky, David S, Pogge von Strandmann, Elke, Polakovicova, Iva, Poon, Ivan Kh, Powell, Bonita H, Prada, Ilaria, Pulliam, Lynn, Quesenberry, Peter, Radeghieri, Annalisa, Raffai, Robert L, Raimondo, Stefania, Rak, Janusz, Ramirez, Marcel I, Raposo, Graça, Rayyan, Morsi S, Regev-Rudzki, Neta, Ricklefs, Franz L, Robbins, Paul D, Roberts, David D, Rodrigues, Silvia C, Rohde, Eva, Rome, Sophie, Rouschop, Kasper Ma, Rughetti, Aurelia, Russell, Ashley E, Saá, Paula, Sahoo, Susmita, Salas-Huenuleo, Edison, Sánchez, Catherine, Saugstad, Julie A, Saul, Meike J, Schiffelers, Raymond M, Schneider, Raphael, Schøyen, Tine Hiorth, Scott, Aaron, Shahaj, Eriomina, Sharma, Shivani, Shatnyeva, Olga, Shekari, Faezeh, Shelke, Ganesh Vilas, Shetty, Ashok K, Shiba, Kiyotaka, Siljander, Pia R-M, Silva, Andreia M, Skowronek, Agata, Snyder, Orman L, Soares, Rodrigo Pedro, Sódar, Barbara W, Soekmadji, Carolina, Sotillo, Javier, Stahl, Philip D, Stoorvogel, Willem, Stott, Shannon L, Strasser, Erwin F, Swift, Simon, Tahara, Hidetoshi, Tewari, Muneesh, Timms, Kate, Tiwari, Swasti, Tixeira, Rochelle, Tkach, Mercedes, Toh, Wei Seong, Tomasini, Richard, Torrecilhas, Ana Claudia, Tosar, Juan Pablo, Toxavidis, Vasilis, Urbanelli, Lorena, Vader, Pieter, van Balkom, Bas Wm, van der Grein, Susanne G, Van Deun, Jan, van Herwijnen, Martijn Jc, Van Keuren-Jensen, Kendall, van Niel, Guillaume, van Royen, Martin E, van Wijnen, Andre J, Vasconcelos, M Helena, Vechetti, Ivan J, Veit, Tiago D, Vella, Laura J, Velot, Émilie, Verweij, Frederik J, Vestad, Beate, Viñas, Jose L, Visnovitz, Tamás, Vukman, Krisztina V, Wahlgren, Jessica, Watson, Dionysios C, Wauben, Marca Hm, Weaver, Alissa, Webber, Jason P, Weber, Viktoria, Wehman, Ann M, Weiss, Daniel J, Welsh, Joshua A, Wendt, Sebastian, Wheelock, Asa M, Wiener, Zoltán, Witte, Leonie, Wolfram, Joy, Xagorari, Angeliki, Xander, Patricia, Xu, Jing, Yan, Xiaomei, Yáñez-Mó, María, Yin, Hang, Yuana, Yuana, Zappulli, Valentina, Zarubova, Jana, Žėkas, Vytautas, Zhang, Jian-Ye, Zhao, Zezhou, Zheng, Lei, Zheutlin, Alexander R, Zickler, Antje M, Zimmermann, Pascale, Zivkovic, Angela M, Zocco, Davide, Zuba-Surma, Ewa K, dB&C I&I, LS Celbiologie-Algemeen, Celbiologie, Afd Pharmaceutics, Sub General Pharmaceutics, Sub Biomol.Mass Spect. and Proteomics, Afd Pharmacology, Urology, Pathology, Medical Oncology, Immunité et cancer, Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Johns Hopkins University School of Medicine [Baltimore], Stress Oxydant et Pathologies Métaboliques (SOPAM), Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U 1192 (PRISM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Infections Virales et Pathologie Comparée - UMR 754 (IVPC), Institut National de la Recherche Agronomique (INRA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Immuno-Endocrinologie Cellulaire et Moléculaire [Nantes] (IECM), Institut National de la Recherche Agronomique (INRA)-Université de Nantes (UN)-École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS), Department for Molecular Biology and Nanobiotechnology, National Institute of chemitry, Slovenia, Biologie, génétique et thérapies ostéoarticulaires et respiratoires (BIOTARGEN), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Institut de pharmacologie moléculaire et cellulaire (IPMC), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Immuno-Endocrinologie Cellulaire et Moléculaire (IECM), Institut National de la Recherche Agronomique (INRA)-Université de Nantes (UN)-Ecole Nationale Vétérinaire de Nantes, Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Physiopathologie des Adaptations Nutritionnelles (PhAN), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Imagerie Moléculaire et Nanobiotechnologies - Institut Européen de Chimie et Biologie (IECB), Université Sciences et Technologies - Bordeaux 1-Centre National de la Recherche Scientifique (CNRS), Molecular Biotechnology Center, Università degli studi di Torino = University of Turin (UNITO), Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Centre for Sustainable Tropical Fisheries and Aquaculture, James Cook University (JCU), Department of Oncology - Pathology, Cancer Center Karolinska [Karolinska Institutet] (CCK), Karolinska Institutet [Stockholm]-Karolinska Institutet [Stockholm], Departamento de Ciências Biológicas, Universidade do Porto = University of Porto, Laboratory of Experimental Cancer Research, Department of Radiation Oncology and Experimental Cancer Research, Cancer Research Institute Ghent (CRIG), Universiteit Gent = Ghent University [Belgium] (UGENT), Department of Medical and Surgical Sciences for Children and Adults [Modena, Italy] (Laboratory of Cellular Therapy), Università degli Studi di Modena e Reggio Emilia (UNIMORE), Clinical Research Center, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital Huddinge, Huddinge, Sweden, Karolinska Institutet [Stockholm]-Karolinska University Hospital [Stockholm], Center for Cooperative Research in Biosciences (CIC bioGUNE), Partner site Munich, German Centre for Infection Research (DZIF), Institute for Transfusion Medicine, University Hospital Essen, Universität Duisburg-Essen [Essen], Mécanismes Adaptatifs et Evolution (MECADEV), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS), Psychiatry, Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Department of Bacteriology and Immunology [Helsinki], Haartman Institute [Helsinki], Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Rigshospitalet [Copenhagen], Copenhagen University Hospital, Dalhousie University [Halifax], Department of Biology, Molecular Cell Biology, University of Mainz, Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Glycobiologie et signalisation cellulaire, Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Krefting Research Centre, Department of Internal Medicine and Clinical Nutrition, University of Gothenburg (GU), Universidad de Alicante, École supérieure du professorat et de l'éducation - Académie de Créteil (UPEC ESPE Créteil), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), University of Antwerp (UA), Université Catholique de Louvain = Catholic University of Louvain (UCL), Research Institute, IRCCS Ospedale Pediatrico Bambino Gesù [Roma], Department of Veterinary Disease Biology [Copenhagen], Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Biologie et Pathologie du Neurone (Brain-C), Adaptation Biologique et Vieillissement = Biological Adaptation and Ageing (B2A), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Department of Mathematics and Statistics, American University, University of Pretoria [South Africa], Ecole des Ingénieurs de la Ville de Paris (EIVP), Universitat Pompeu Fabra [Barcelona] (UPF), Instituto de Investigaciones Biomedicas, Universidad Nacional Autónoma de México (UNAM), Istituto Ortopedico Rizzoli, Department of Molecular Therapeutics, The Scripps Research Institute, Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Montreal Children's Hospital, McGill University Health Center [Montreal] (MUHC), Compartimentation et dynamique cellulaires (CDC), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Curie [Paris]-Centre National de la Recherche Scientifique (CNRS), National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Cardiovascular Research Center, Massachusetts General Hospital [Boston], University Medical Center [Utrecht], University of Toronto, Fiocruz Minas - René Rachou Research Center / Instituto René Rachou [Belo Horizonte, Brésil], Fundação Oswaldo Cruz (FIOCRUZ), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Centre de Recherche en Cancérologie de Marseille (CRCM), Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Federal University of Sao Paulo (Unifesp), Functional Genomics / Genómica Funcional [Montevideo], Institut Pasteur 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(UTBM)-Université de Franche-Comté (UFC)-CNRS : UMR6174, Mécanismes adaptatifs : des organismes aux communautés (MECADEV), Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN), Johannes Gutenberg - University of Mainz (JGU), Université Catholique de Louvain (UCL), Universitat Pompeu Fabra [Barcelona], Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Institut Curie-Université Pierre et Marie Curie - Paris 6 (UPMC), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Laboratoire Réactions et Génie des Procédés (LRGP), Fiocruz Minas - René Rachou Research Center / Instituto René Rachou, Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU), Functional Genomics Unit, Institut Curie-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Vermont College of Medicine [Burlington, VT, USA], Extracellular Vesicles, Molecular and Integrative Biosciences Research Programme, Thery, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin-Smith, G. K., Ayre, D. C., Bach, J. -M., Bachurski, D., Baharvand, H., Balaj, L., Baldacchino, S., Bauer, N. N., Baxter, A. A., Bebawy, M., Beckham, C., Bedina Zavec, A., Benmoussa, A., Berardi, A. C., Bergese, P., Bielska, E., Blenkiron, C., Bobis-Wozowicz, S., Boilard, E., Boireau, W., Bongiovanni, A., Borras, F. E., Bosch, S., Boulanger, C. M., Breakefield, X., Breglio, A. M., Brennan, M. A., Brigstock, D. R., Brisson, A., Broekman, M. L. D., Bromberg, J. F., Bryl-Gorecka, P., Buch, S., Buck, A. H., Burger, D., Busatto, S., Buschmann, D., Bussolati, B., Buzas, E. I., Byrd, J. B., Camussi, G., Carter, D. R. F., Caruso, S., Chamley, L. W., Chang, Y. -T., Chaudhuri, A. D., Chen, C., Chen, S., Cheng, L., Chin, A. R., Clayton, A., Clerici, S. P., Cocks, A., Cocucci, E., Coffey, R. J., Cordeiro-da-Silva, A., Couch, Y., Coumans, F. A. W., Coyle, B., Crescitelli, R., Criado, M. F., D'Souza-Schorey, C., Das, S., de Candia, P., De Santana, E. F., De Wever, O., del Portillo, H. A., Demaret, T., Deville, S., Devitt, A., Dhondt, B., Di Vizio, D., Dieterich, L. C., Dolo, V., Dominguez Rubio, A. P., Dominici, M., Dourado, M. R., Driedonks, T. A. P., Duarte, F. V., Duncan, H. M., Eichenberger, R. M., Ekstrom, K., EL Andaloussi, S., Elie-Caille, C., Erdbrugger, U., Falcon-Perez, J. M., Fatima, F., Fish, J. E., Flores-Bellver, M., Forsonits, A., Frelet-Barrand, A., Fricke, F., Fuhrmann, G., Gabrielsson, S., Gamez-Valero, A., Gardiner, C., Gartner, K., Gaudin, R., Gho, Y. S., Giebel, B., Gilbert, C., Gimona, M., Giusti, I., Goberdhan, D. C. I., Gorgens, A., Gorski, S. M., Greening, D. W., Gross, J. C., Gualerzi, A., Gupta, G. N., Gustafson, D., Handberg, A., Haraszti, R. A., Harrison, P., Hegyesi, H., Hendrix, A., Hill, A. F., Hochberg, F. H., Hoffmann, K. F., Holder, B., Holthofer, H., Hosseinkhani, B., Hu, G., Huang, Y., Huber, V., Hunt, S., Ibrahim, A. G. -E., Ikezu, T., Inal, J. M., Isin, M., Ivanova, A., Jackson, H. K., Jacobsen, S., Jay, S. M., Jayachandran, M., Jenster, G., Jiang, L., Johnson, S. M., Jones, J. C., Jong, A., Jovanovic-Talisman, T., Jung, S., Kalluri, R., Kano, S. -I., Kaur, S., Kawamura, Y., Keller, E. T., Khamari, D., Khomyakova, E., Khvorova, A., Kierulf, P., Kim, K. P., Kislinger, T., Klingeborn, M., Klinke, D. J., Kornek, M., Kosanovic, M. M., Kovacs, A. F., Kramer-Albers, E. -M., Krasemann, S., Krause, M., Kurochkin, I. V., Kusuma, G. D., Kuypers, S., Laitinen, S., Langevin, S. M., Languino, L. R., Lannigan, J., Lasser, C., Laurent, L. C., Lavieu, G., Lazaro-Ibanez, E., Le Lay, S., Lee, M. -S., Lee, Y. X. F., Lemos, D. S., Lenassi, M., Leszczynska, A., Li, I. T. S., Liao, K., Libregts, S. F., Ligeti, E., Lim, R., Lim, S. K., Line, A., Linnemannstons, K., Llorente, A., Lombard, C. A., Lorenowicz, M. J., Lorincz, A. M., Lotvall, J., Lovett, J., Lowry, M. C., Loyer, X., Lu, Q., Lukomska, B., Lunavat, T. R., Maas, S. L. N., Malhi, H., Marcilla, A., Mariani, J., Mariscal, J., Martens-Uzunova, E. S., Martin-Jaular, L., Martinez, M. C., Martins, V. R., Mathieu, M., Mathivanan, S., Maugeri, M., Mcginnis, L. K., Mcvey, M. J., Meckes, D. G., Meehan, K. L., Mertens, I., Minciacchi, V. R., Moller, A., Moller Jorgensen, M., Morales-Kastresana, A., Morhayim, J., Mullier, F., Muraca, M., Musante, L., Mussack, V., Muth, D. C., Myburgh, K. H., Najrana, T., Nawaz, M., Nazarenko, I., Nejsum, P., Neri, C., Neri, T., Nieuwland, R., Nimrichter, L., Nolan, J. P., Nolte-'t Hoen, E. N. M., Noren Hooten, N., O'Driscoll, L., O'Grady, T., O'Loghlen, A., Ochiya, T., Olivier, M., Ortiz, A., Ortiz, L. A., Osteikoetxea, X., Ostegaard, O., Ostrowski, M., Park, J., Pegtel, D. M., Peinado, H., Perut, F., Pfaffl, M. W., Phinney, D. G., Pieters, B. C. H., Pink, R. C., Pisetsky, D. S., Pogge von Strandmann, E., Polakovicova, I., Poon, I. K. H., Powell, B. H., Prada, I., Pulliam, L., Quesenberry, P., Radeghieri, A., Raffai, R. L., Raimondo, S., Rak, J., Ramirez, M. I., Raposo, G., Rayyan, M. S., Regev-Rudzki, N., Ricklefs, F. L., Robbins, P. D., Roberts, D. D., Rodrigues, S. C., Rohde, E., Rome, S., Rouschop, K. M. A., Rughetti, A., Russell, A. E., Saa, P., Sahoo, S., Salas-Huenuleo, E., Sanchez, C., Saugstad, J. A., Saul, M. J., Schiffelers, R. M., Schneider, R., Schoyen, T. H., Scott, A., Shahaj, E., Sharma, S., Shatnyeva, O., Shekari, F., Shelke, G. V., Shetty, A. K., Shiba, K., Siljander, P. R. -M., Silva, A. M., Skowronek, A., Snyder, O. L., Soares, R. P., Sodar, B. W., Soekmadji, C., Sotillo, J., Stahl, P. D., Stoorvogel, W., Stott, S. L., Strasser, E. F., Swift, S., Tahara, H., Tewari, M., Timms, K., Tiwari, S., Tixeira, R., Tkach, M., Toh, W. S., Tomasini, R., Torrecilhas, A. C., Tosar, J. P., Toxavidis, V., Urbanelli, L., Vader, P., van Balkom, B. W. M., van der Grein, S. G., Van Deun, J., van Herwijnen, M. J. C., Van Keuren-Jensen, K., van Niel, G., van Royen, M. E., van Wijnen, A. J., Vasconcelos, M. H., Vechetti, I. J., Veit, T. D., Vella, L. J., Velot, E., Verweij, F. J., Vestad, B., Vinas, J. L., Visnovitz, T., Vukman, K. V., Wahlgren, J., Watson, D. C., Wauben, M. H. M., Weaver, A., Webber, J. P., Weber, V., Wehman, A. M., Weiss, D. J., Welsh, J. A., Wendt, S., Wheelock, A. M., Wiener, Z., Witte, L., Wolfram, J., Xagorari, A., Xander, P., Xu, J., Yan, X., Yanez-Mo, M., Yin, H., Yuana, Y., Zappulli, V., Zarubova, J., Zekas, V., Zhang, J. -Y., Zhao, Z., Zheng, L., Zheutlin, A. R., Zickler, A. M., Zimmermann, P., Zivkovic, A. M., Zocco, D., Zuba-Surma, E. K., dB&C I&I, LS Celbiologie-Algemeen, Celbiologie, Afd Pharmaceutics, Sub General Pharmaceutics, Sub Biomol.Mass Spect. and Proteomics, Afd Pharmacology, CCA - Imaging and biomarkers, Amsterdam Neuroscience - Neuroinfection & -inflammation, and Amsterdam Neuroscience - Cellular & Molecular Mechanisms

Subjects
ectosome, ectosomes, exosomes, extracellular vesicles, guidelines, microparticles, microvesicles, minimal information requirements, reproducibility, rigor, standardization, Histology, Cell Biology, [SDV]Life Sciences [q-bio], size-exclusion, Medicine and Health Sciences, CELL-DERIVED MICROPARTICLES, FIELD-FLOW FRACTIONATION, requirements, circulating, ComputingMilieux_MISCELLANEOUS, Manchester Cancer Research Centre, lcsh:Cytology, PROSTATE-CANCER, microparticle, Cell interaction, microvesicle, chromatography, Position Paper, guideline, Life Sciences & Biomedicine, ectosomes, exosomes, extracellular vesicles, guidelines, microparticles, microvesicles, minimal information requirements, reproducibility, rigor, standardization, MEMBRANE-VESICLES, FETAL BOVINE, Ectosomes, Exosomes, Extracellular Vesicles, Guidelines, Microparticles, Microvesicles, Minimal Information Requirements, Reproducibility, Rigor, Standardization, CIRCULATING MICROPARTICLES, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, ddc:570, exosome, SURFACE-PLASMON RESONANCE, ddc:610, lcsh:QH573-671, Biology, Interacció cel·lular, Science & Technology, ResearchInstitutes_Networks_Beacons/mcrc, Cell membranes, HUMAN URINARY EXOSOMES, PREANALYTICAL PARAMETERS, minimal information requirement, SIZE-EXCLUSION CHROMATOGRAPHY, 1182 Biochemistry, cell and molecular biology, extracellular vesicle, Human medicine, Membranes cel·lulars
Abstract

The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), a collective term covering various subtypes of cell-released, membranous structures, called exosomes, microvesicles, microparticles, ectosomes, oncosomes, apoptotic bodies, and many other names. However, specific issues arise when working with these entities, whose size and amount often make them difficult to obtain as relatively pure preparations, and to characterize properly. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles ("MISEV") guidelines for the field in 2014. We now update these "MISEV2014" guidelines based on evolution of the collective knowledge in the last four years. An important point to consider is that ascribing a specific function to EVs in general, or to subtypes of EVs, requires reporting of specific information beyond mere description of function in a crude, potentially contaminated, and heterogeneous preparation. For example, claims that exosomes are endowed with exquisite and specific activities remain difficult to support experimentally, given our still limited knowledge of their specific molecular machineries of biogenesis and release, as compared with other biophysically similar EVs. The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific EV-associated functional activities. Finally, a checklist is provided with summaries of key points.

Published
2018

14. Genetic and epigenetic regulation of skeletal muscle ribosome biogenesis with exercise.

Author

Figueiredo, Vandré C., Wen, Yuan, Alkner, Björn, Fernandez‐Gonzalo, Rodrigo, Norrbom, Jessica, Vechetti, Ivan J., Valentino, Taylor, Mobley, C. Brooks, Zentner, Gabriel E., Peterson, Charlotte A., McCarthy, John J., Murach, Kevin A., and Walden, Ferdinand

Subjects
ORGANELLE formation, GENETIC regulation, SKELETAL muscle, RIBOSOMAL DNA, CHLOROPLAST DNA, RESISTANCE training
Abstract

Key points: Ribosome biogenesis and MYC transcription are associated with acute resistance exercise (RE) and are distinct from endurance exercise in human skeletal muscle throughout a 24 h time course of recovery.A PCR‐based method for relative ribosomal DNA (rDNA) copy number estimation was validated by whole genome sequencing and revealed that rDNA dosage is positively correlated with ribosome biogenesis in response to RE.Acute RE modifies rDNA methylation patterns in enhancer, intergenic spacer and non‐canonical MYC‐associated regions, but not the promoter.Myonuclear‐specific rDNA methylation patterns with acute mechanical overload in mice corroborate and expand on rDNA findings with RE in humans.A genetic predisposition for hypertrophic responsiveness may exist based on rDNA gene dosage. Ribosomes are the macromolecular engines of protein synthesis. Skeletal muscle ribosome biogenesis is stimulated by exercise, although the contribution of ribosomal DNA (rDNA) copy number and methylation to exercise‐induced rDNA transcription is unclear. To investigate the genetic and epigenetic regulation of ribosome biogenesis with exercise, a time course of skeletal muscle biopsies was obtained from 30 participants (18 men and 12 women; 31 ± 8 years, 25 ± 4 kg m–2) at rest and 30 min, 3 h, 8 h and 24 h after acute endurance (n = 10, 45 min cycling, 70% V̇O2max) or resistance exercise (n = 10, 4 × 7 × 2 exercises); 10 control participants underwent biopsies without exercise. rDNA transcription and dosage were assessed using quantitative PCR and whole genome sequencing. rDNA promoter methylation was investigated using massARRAY EpiTYPER and global rDNA CpG methylation was assessed using reduced‐representation bisulphite sequencing. Ribosome biogenesis and MYC transcription were associated primarily with resistance but not endurance exercise, indicating preferential up‐regulation during hypertrophic processes. With resistance exercise, ribosome biogenesis was associated with rDNA gene dosage, as well as epigenetic changes in enhancer and non‐canonical MYC‐associated areas in rDNA, but not the promoter. A mouse model of in vivo metabolic RNA labelling and genetic myonuclear fluorescence labelling validated the effects of an acute hypertrophic stimulus on ribosome biogenesis and Myc transcription, and also corroborated rDNA enhancer and Myc‐associated methylation alterations specifically in myonuclei. The present study provides the first information on skeletal muscle genetic and rDNA gene‐wide epigenetic regulation of ribosome biogenesis in response to exercise, revealing novel roles for rDNA dosage and CpG methylation. Key points: Ribosome biogenesis and MYC transcription are associated with acute resistance exercise (RE) and are distinct from endurance exercise in human skeletal muscle throughout a 24 h time course of recovery.A PCR‐based method for relative ribosomal DNA (rDNA) copy number estimation was validated by whole genome sequencing and revealed that rDNA dosage is positively correlated with ribosome biogenesis in response to RE.Acute RE modifies rDNA methylation patterns in enhancer, intergenic spacer and non‐canonical MYC‐associated regions, but not the promoter.Myonuclear‐specific rDNA methylation patterns with acute mechanical overload in mice corroborate and expand on rDNA findings with RE in humans.A genetic predisposition for hypertrophic responsiveness may exist based on rDNA gene dosage. [ABSTRACT FROM AUTHOR]

Published
2021
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15. An intron variant of the GLI family zinc finger 3 (GLI3) gene differentiates resistance training‐induced muscle fiber hypertrophy in younger men.

Author

Vann, Christopher G., Morton, Robert W., Mobley, Christopher B., Vechetti, Ivan J., Ferguson, Brian K., Haun, Cody T., Osburn, Shelby C., Sexton, Casey L., Fox, Carlton D., Romero, Matthew A., Roberson, Paul A., Oikawa, Sara Y., McGlory, Chris, Young, Kaelin C., McCarthy, John J., Phillips, Stuart M., and Roberts, Michael D.

Published
2021
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16. The role of extracellular vesicles in skeletal muscle and systematic adaptation to exercise.

Author

Vechetti, Ivan J., Valentino, Taylor, Mobley, C. Brooks, and McCarthy, John J.

Subjects
*EXTRACELLULAR vesicles, *SKELETAL muscle, *EXERCISE physiology, *EXERCISE, *TYPE 2 diabetes
Abstract

Regular exercise has a central role in human health by reducing the risk of type 2 diabetes, obesity, stroke and cancer. How exercise is able to promote such systemic benefits has remained somewhat of a mystery but has been thought to be in part mediated by the release of myokines, skeletal muscle‐specific cytokines, in response to exercise. Recent studies have revealed skeletal muscle can also release extracellular vesicles (EVs) into circulation following a bout of exercise. EVs are small membrane‐bound vesicles capable of delivering biomolecules to recipient cells and subsequently altering their metabolism. The notion that EVs may have a role in both skeletal muscle and systemic adaptation to exercise has generated a great deal of excitement within a number of different fields including exercise physiology, neuroscience and metabolism. The purpose of this review is to provide an introduction to EV biology and what is currently known about skeletal muscle EVs and their potential role in the response of muscle and other tissues to exercise. [ABSTRACT FROM AUTHOR]

Published
2021
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17. Serum extracellular vesicle miR-203a-3p content is associated with skeletal muscle mass and protein turnover during disuse atrophy and regrowth.

Author

Van Pelt, Douglas W., Vechetti, Ivan J., Lawrence, Marcus M., Van Pelt, Kathryn L., Patel, Parth, Miller, Benjamin F., Butterfield, Timothy A., and Dupont-Versteegden, Esther E.

Abstract

Small noncoding microRNAs (miRNAs) are important regulators of skeletal muscle size, and circulating miRNAs within extracellular vesicles (EVs) may contribute to atrophy and its associated systemic effects. The purpose of this study was to understand how muscle atrophy and regrowth alter in vivo serum EV miRNA content. We also associated changes in serum EV miRNA with protein synthesis, protein degradation, and miRNA within muscle, kidney, and liver. We subjected adult (10 mo) F344/BN rats to three conditions: weight bearing (WB), hindlimb suspension (HS) for 7 days to induce muscle atrophy, and HS for 7 days followed by 7 days of reloading (HSR). Microarray analysis of EV miRNA content showed that the overall changes in serum EV miRNA were predicted to target major anabolic, catabolic, and mechanosensitive pathways. MiR-203a-3p was the only miRNA demonstrating substantial differences in HS EVs compared with WB. There was a limited association of EV miRNA content to the corresponding miRNA content within the muscle, kidney, or liver. Stepwise linear regression demonstrated that EV miR-203a-3p was correlated with muscle mass and muscle protein synthesis and degradation across all conditions. Finally, EV miR-203a-3p expression was significantly decreased in human subjects who underwent unilateral lower limb suspension (ULLS) to induce muscle atrophy. Altogether, we show that serum EV miR-203a-3p expression is related to skeletal muscle protein turnover and atrophy. We suggest that serum EV miR-203a-3p content may be a useful biomarker and future work should investigate whether serum EV miR-203a-3p content is mechanistically linked to protein synthesis and degradation. [ABSTRACT FROM AUTHOR]

Published
2020
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18. Depletion of resident muscle stem cells negatively impacts running volume, physical function, and muscle fiber hypertrophy in response to lifelong physical activity.

Author

Englund, Davis A., Murach, Kevin A., Dungan, Cory M., Figueiredo, Vandré C., Vechetti, Ivan J., Dupont-Versteegden, Esther E., McCarthy, John J., and Peterson, Charlotte A.

Abstract

To date, studies that have aimed to investigate the role of satellite cells during adult skeletal muscle adaptation and hypertrophy have utilized a nontranslational stimulus and/or have been performed over a relatively short time frame. Although it has been shown that satellite cell depletion throughout adulthood does not drive skeletal muscle loss in sedentary mice, it remains unknown how satellite cells participate in skeletal muscle adaptation to long-term physical activity. The current study was designed to determine whether reduced satellite cell content throughout adulthood would influence the transcriptome-wide response to physical activity and diminish the adaptive response of skeletal muscle. We administered vehicle or tamoxifen to adult Pax7-diphtheria toxin A (DTA) mice to deplete satellite cells and assigned them to sedentary or wheel-running conditions for 13 mo. Satellite cell depletion throughout adulthood reduced balance and coordination, overall running volume, and the size of muscle proprioceptors (spindle fibers). Furthermore, satellite cell participation was necessary for optimal muscle fiber hypertrophy but not adaptations in fiber type distribution in response to lifelong physical activity. Transcriptome-wide analysis of the plantaris and soleus revealed that satellite cell function is muscle type specific; satellite cell-dependent myonuclear accretion was apparent in oxidative muscles, whereas initiation of G protein-coupled receptor (GPCR) signaling in the glycolytic plantaris may require satellite cells to induce optimal adaptations to long-term physical activity. These findings suggest that satellite cells play a role in preserving physical function during aging and influence muscle adaptation during sustained periods of physical activity. [ABSTRACT FROM AUTHOR]

Published
2020
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19. Bovine Milk Extracellular Vesicles (EVs) Modification Elicits Skeletal Muscle Growth in Rats.

Author

Parry, Hailey A., Mobley, C. Brooks, Mumford, Petey W., Romero, Matthew A., Haun, Cody T., Zhang, Yufeng, Roberson, Paul A., Zempleni, Janos, Ferrando, Arny A., Vechetti, Ivan J., McCarthy, John J., Young, Kaelin C., Roberts, Michael D., and Kavazis, Andreas N.

Subjects
SKELETAL muscle, MUSCLE growth, MITOCHONDRIA, OXIDATIVE stress, MICRORNA
Abstract

The current study investigated how bovine milk extracellular vesicles (EVs) affected rotarod performance and biomarkers of skeletal muscle physiology in young, growing rats. Twenty-eight-day Fisher 344 rats were provided an AIN-93G-based diet for 4 weeks that either remained unadulterated [EVs and RNA-sufficient (ERS; n = 12)] or was sonicated [EVs and RNA-depleted (ERD; n = 12)]. Prior to (PRE) and on the last day of the intervention (POST), animals were tested for maximal rotarod performance. Following the feeding period, the gastrocnemius muscle was analyzed at the histological, biochemical, and molecular levels and was also used to measure mitochondrial function and reactive oxygen species (ROS) emission. A main effect of time was observed for rotarod time (PRE > POST, p = 0.001). Terminal gastrocnemius mass was unaffected by diet, although gastrocnemius muscle fiber cross sectional area was 11% greater (p = 0.018) and total RNA (a surrogate of ribosome density) was 24% greater (p = 0.001) in ERD. Transcriptomic analysis of the gastrocnemius indicated that 22 mRNAs were significantly greater in ERS versus ERD (p < 0.01), whereas 55 mRNAs were greater in ERD versus ERS (p < 0.01). There were no differences in gastrocnemius citrate synthase activity or mitochondrial coupling (respiratory control ratio), although mitochondrial ROS production was lower in ERD gastrocnemius (p = 0.016), which may be explained by an increase in glutathione peroxidase protein levels (p = 0.020) in ERD gastrocnemius. Dietary EVs profiling confirmed that sonication in the ERD diet reduced EVs content by ∼60%. Our findings demonstrate that bovine milk EVs depletion through sonication elicits anabolic and transcriptomic effects in the gastrocnemius muscle of rapidly maturing rats. While this did not translate into a functional outcome between diets (i.e., rotarod performance), longer feeding periods may be needed to observe such functional effects. [ABSTRACT FROM AUTHOR]

Published
2019
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20. Skeletal Muscle Cell Growth Alters the Lipid Composition of Extracellular Vesicles.

Author

Valentino, Taylor R., Rule, Blake D., Mobley, C. Brooks, Nikolova-Karakashian, Mariana, and Vechetti, Ivan J.

Subjects
EXTRACELLULAR vesicles, MUSCLE growth, SOMATOMEDIN C, SKELETAL muscle, MUSCLE cells, MYOBLASTS
Abstract

We sought to characterize the lipid profile of skeletal muscle cell-derived Extracellular Vesicles (EVs) to determine if a hypertrophic stimulus would affect the lipid composition of C2C12 myotube-derived EVs. Analyses included C2C12 murine myoblasts differentiated into myotubes and treated with Insulin-Like Growth Factor 1 (IGF-1) for 24 h to induce hypertrophic growth. EVs were isolated from cell culture media, quantified using Nanoparticle Tracking Analysis (NTA) and analyzed using Transmission Electron Microscopy (TEM). EVs were homogenized and lipids extracted for quantification by Mass Spectrometry followed by downstream lipid class enrichment and lipid chain analysis. IGF-1 treatment elicited an increase in CD63 and CD81 levels (39% and 21%) compared to the controls (16%), respectively. Analysis revealed that skeletal muscle-derived EVs are enriched in bioactive lipids that are likely selectively incorporated into EVs during hypertrophic growth. IGF-1 treatment of myotubes had a significant impact on the levels of diacylglycerol (DG) and ceramide (Cer) in secreted EVs. Specifically, the proportion of unsaturated DG was two- to three-fold higher in EVs derived from IGF-treated cells, as compared to those from control cells. The levels of saturated DG were unaffected. Selective increases were similarly seen in C16- and C24-Cer but not in other species. Levels of free sphingoid bases tended to decrease, while those of sphingosine-1-phosphate was unaffected. Our results suggest that the lipid composition and biogenesis of skeletal muscle-derived EVs, are specific and highly selective during hypertrophic growth. [ABSTRACT FROM AUTHOR]

Published
2021
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21. Life-long reduction in myomiR expression does not adversely affect skeletal muscle morphology.

Author

Vechetti, Ivan J., Wen, Yuan, Chaillou, Thomas, Murach, Kevin A., Alimov, Alexander P., Figueiredo, Vandre C., Dal-Pai-Silva, Maeli, and McCarthy, John J.

Abstract

We generated an inducible, skeletal muscle-specific Dicer knockout mouse to deplete microRNAs in adult skeletal muscle. Following tamoxifen treatment, Dicer mRNA expression was significantly decreased by 87%. Wild-type (WT) and Dicer knockout (KO) mice were subjected to either synergist ablation or hind limb suspension for two weeks. There was no difference in muscle weight with hypertrophy or atrophy between WT and KO groups; however, even with the significant loss of Dicer expression, myomiR (miR-1, -133a and -206) expression was only reduced by 38% on average. We next aged WT and KO mice for ~22 months following Dicer inactivation to determine if myomiR expression would be further reduced over a prolonged timeframe and assess the effects of myomiR depletion on skeletal muscle phenotype. Skeletal muscle Dicer mRNA expression remained significantly decreased by 80% in old KO mice and sequencing of cloned Dicer mRNA revealed the complete absence of the floxed exons in KO skeletal muscle. Despite a further reduction of myomiR expression to ~50% of WT, no change was observed in muscle morphology between WT and KO groups. These results indicate the life-long reduction in myomiR levels did not adversely affect skeletal muscle phenotype and suggest the possibility that microRNA expression is uniquely regulated in skeletal muscle. [ABSTRACT FROM AUTHOR]

Published
2019
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22. A novel tetracycline-responsive transgenic mouse strain for skeletal muscle-specific gene expression.

Author

Iwata, Masahiro, Englund, Davis A., Wen, Yuan, Dungan, Cory M., Murach, Kevin A., Vechetti, Ivan J., Mobley, Christopher B., Peterson, Charlotte A., and McCarthy, John J.

Subjects
TETRACYCLINES, SKELETAL muscle, GENE expression, REVERSE transcriptase polymerase chain reaction, MESSENGER RNA
Abstract

Background: The tetracycline-responsive system (Tet-ON/OFF) has proven to be a valuable tool for manipulating gene expression in an inducible, temporal, and tissue-specific manner. The purpose of this study was to create and characterize a new transgenic mouse strain utilizing the human skeletal muscle α-actin (HSA) promoter to drive skeletal muscle-specific expression of the reverse tetracycline transactivator (rtTA) gene which we have designated as the HSA-rtTA mouse. Methods: To confirm the HSA-rtTA mouse was capable of driving skeletal muscle-specific expression, we crossed the HSA-rtTA mouse with the tetracycline-responsive histone H2B-green fluorescent protein (H2B-GFP) transgenic mouse in order to label myonuclei. Results: Reverse transcription-PCR confirmed skeletal muscle-specific expression of rtTA mRNA, while single-fiber analysis showed highly effective GFP labeling of myonuclei in both fast- and slow-twitch skeletal muscles. Pax7 immunohistochemistry of skeletal muscle cross-sections revealed no appreciable GFP expression in satellite cells. Conclusions: The HSA-rtTA transgenic mouse allows for robust, specific, and inducible gene expression across muscles of different fiber types. The HSA-rtTA mouse provides a powerful tool to manipulate gene expression in skeletal muscle. [ABSTRACT FROM AUTHOR]

Published
2018
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23. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines

Author

Théry, Clotilde, Witwer, Kenneth W., Aikawa, Elena, Alcaraz, Maria Jose, Anderson, Johnathon D., Andriantsitohaina, Ramaroson, Antoniou, Anna, Arab, Tanina, Archer, Fabienne, Atkin-Smith, Georgia K., Ayre, D Craig, Bach, Jean-Marie, Bachurski, Daniel, Baharvand, Hossein, Balaj, Leonora, Baldacchino, Shawn, Bauer, Natalie N., Baxter, Amy A., Bebawy, Mary, Beckham, Carla, Bedina Zavec, Apolonija, Benmoussa, Abderrahim, Berardi, Anna C., Bergese, Paolo, Bielska, Ewa, Blenkiron, Cherie, Bobis-Wozowicz, Sylwia, Boilard, Eric, Boireau, Wilfrid, Bongiovanni, Antonella, Borràs, Francesc E., Bosch, Steffi, Boulanger, Chantal M., Breakefield, Xandra, Breglio, Andrew M., Brennan, Meadhbh Á., Brigstock, David R., Brisson, Alain, Broekman, Marike Ld., Bromberg, Jacqueline F., Bryl-Górecka, Paulina, Buch, Shilpa, Buck, Amy H., Burger, Dylan, Busatto, Sara, Buschmann, Dominik, Bussolati, Benedetta, Buzás, Edit I., Byrd, James Bryan, Camussi, Giovanni, Carter, David Rf., Caruso, Sarah, Chamley, Lawrence W., Chang, Yu-Ting, Chen, Chihchen, Chen, Shuai, Cheng, Lesley, Chin, Andrew R., Clayton, Aled, Clerici, Stefano P., Cocks, Alex, Cocucci, Emanuele, Coffey, Robert J., Cordeiro-Da-Silva, Anabela, Couch, Yvonne, Coumans, Frank Aw., Coyle, Beth, Crescitelli, Rossella, Criado, Miria Ferreira, D'Souza-Schorey, Crislyn, Das, Saumya, Datta Chaudhuri, Amrita, De Candia, Paola, De Santana, Eliezer F., De Wever, Olivier, Del Portillo, Hernando A., Demaret, Tanguy, Deville, Sarah, Devitt, Andrew, Dhondt, Bert, Di Vizio, Dolores, Dieterich, Lothar C., Dolo, Vincenza, Dominguez Rubio, Ana Paula, Dominici, Massimo, Dourado, Mauricio R., Driedonks, Tom Ap., Duarte, Filipe V., Duncan, Heather M., Eichenberger, Ramon M., Ekström, Karin, El Andaloussi, Samir, Elie-Caille, Celine, Erdbrügger, Uta, Falcón-Pérez, Juan M., Fatima, Farah, Fish, Jason E., Flores-Bellver, Miguel, Försönits, András, Frelet-Barrand, Annie, Fricke, Fabia, Fuhrmann, Gregor, Gabrielsson, Susanne, Gámez-Valero, Ana, Gardiner, Chris, Gärtner, Kathrin, Gaudin, Raphael, Gho, Yong Song, Giebel, Bernd, Gilbert, Caroline, Gimona, Mario, Giusti, Ilaria, Goberdhan, Deborah Ci, Görgens, André, Gorski, Sharon M., Greening, David W., Gross, Julia Christina, Gualerzi, Alice, Gupta, Gopal N., Gustafson, Dakota, Handberg, Aase, Haraszti, Reka A., Harrison, Paul, Hegyesi, Hargita, Hendrix, An, Hill, Andrew F., Hochberg, Fred H., Hoffmann, Karl F., Holder, Beth, Holthofer, Harry, Hosseinkhani, Baharak, Hu, Guoku, Huang, Yiyao, Huber, Veronica, Hunt, Stuart, Ibrahim, Ahmed Gamal-Eldin, Ikezu, Tsuneya, Inal, Jameel M., Isin, Mustafa, Ivanova, Alena, Jackson, Hannah K., Jacobsen, Soren, Jay, Steven M, Jayachandran, Muthuvel, Jenster, Guido, Jiang, Lanzhou, Johnson, Suzanne M., Jones, Jennifer C., Jong, Ambrose, Jovanovic-Talisman, Tijana, Jung, Stephanie, Kalluri, Raghu, Kano, Shin-Ichi, Kaur, Sukhbir, Kawamura, Yumi, Keller, Evan T., Khamari, Delaram, Khomyakova, Elena, Khvorova, Anastasia, Kierulf, Peter, Kim, Kwang Pyo, Kislinger, Thomas, Klingeborn, Mikael, Klinke, David J., Kornek, Miroslaw, Kosanović, Maja M., Kovács, Árpád Ferenc, Krämer-Albers, Eva-Maria, Krasemann, Susanne, Krause, Mirja, Kurochkin, Igor V., Kusuma, Gina D., Kuypers, Sören, Laitinen, Saara, Langevin, Scott M., Languino, Lucia R., Lannigan, Joanne, Lässer, Cecilia, Laurent, Louise C., Lavieu, Gregory, Lázaro-Ibáñez, Elisa, Le Lay, Soazig, Lee, Myung-Shin, Lee, Yi Xin Fiona, Lemos, Debora S., Lenassi, Metka, Leszczynska, Aleksandra, Li, Isaac Ts, Liao, Ke, Libregts, Sten F., Ligeti, Erzsebet, Lim, Rebecca, Lim, Sai Kiang, Linē, Aija, Linnemannstöns, Karen, Llorente, Alicia, Lombard, Catherine A., Lorenowicz, Magdalena J., Lörincz, Ákos M., Lötvall, Jan, Lovett, Jason, Lowry, Michelle C., Loyer, Xavier, Lu, Quan, Lukomska, Barbara, Lunavat, Taral R., Maas, Sybren Ln, Malhi, Harmeet, Marcilla, Antonio, Mariani, Jacopo, Mariscal, Javier, Martens-Uzunova, Elena S., Martin-Jaular, Lorena, Martinez, M Carmen, Martins, Vilma Regina, Mathieu, Mathilde, Mathivanan, Suresh, Maugeri, Marco, McGinnis, Lynda K., McVey, Mark J., Meckes, David G., Meehan, Katie L., Mertens, Inge, Minciacchi, Valentina R., Möller, Andreas, Møller Jørgensen, Malene, Morales-Kastresana, Aizea, Morhayim, Jess, Mullier, François, Muraca, Maurizio, Musante, Luca, Mussack, Veronika, Muth, Dillon C., Myburgh, Kathryn H., Najrana, Tanbir, Nawaz, Muhammad, Nazarenko, Irina, Nejsum, Peter, Neri, Christian, Neri, Tommaso, Nieuwland, Rienk, Nimrichter, Leonardo, Nolan, John P., Nolte-'T Hoen, Esther Nm, Noren Hooten, Nicole, O'Driscoll, Lorraine, O'Grady, Tina, O'Loghlen, Ana, Ochiya, Takahiro, Olivier, Martin, Ortiz, Alberto, Ortiz, Luis A., Osteikoetxea, Xabier, Østergaard, Ole, Ostrowski, Matias, Park, Jaesung, Pegtel, D Michiel, Peinado, Hector, Perut, Francesca, Pfaffl, Michael W., Phinney, Donald G., Pieters, Bartijn Ch., Pink, Ryan C., Pisetsky, David S., Pogge Von Strandmann, Elke, Polakovicova, Iva, Poon, Ivan Kh, Powell, Bonita H., Prada, Ilaria, Pulliam, Lynn, Quesenberry, Peter, Radeghieri, Annalisa, Raffai, Robert L., Raimondo, Stefania, Rak, Janusz, Ramirez, Marcel I., Raposo, Graça, Rayyan, Morsi S., Regev-Rudzki, Neta, Ricklefs, Franz L., Robbins, Paul D., Roberts, David D., Rodrigues, Silvia C., Rohde, Eva, Rome, Sophie, Rouschop, Kasper Ma, Rughetti, Aurelia, Russell, Ashley E., Saá, Paula, Sahoo, Susmita, Salas-Huenuleo, Edison, Sánchez, Catherine, Saugstad, Julie A., Saul, Meike J., Schiffelers, Raymond M., Schneider, Raphael, Schøyen, Tine Hiorth, Scott, Aaron, Shahaj, Eriomina, Sharma, Shivani, Shatnyeva, Olga, Shekari, Faezeh, Shelke, Ganesh Vilas, Shetty, Ashok K., Shiba, Kiyotaka, Siljander, Pia R-M, Silva, Andreia M., Skowronek, Agata, Snyder, Orman L., Soares, Rodrigo Pedro, Sódar, Barbara W., Soekmadji, Carolina, Sotillo, Javier, Stahl, Philip D., Stoorvogel, Willem, Stott, Shannon L., Strasser, Erwin F., Swift, Simon, Tahara, Hidetoshi, Tewari, Muneesh, Timms, Kate, Tiwari, Swasti, Tixeira, Rochelle, Tkach, Mercedes, Toh, Wei Seong, Tomasini, Richard, Torrecilhas, Ana Claudia, Tosar, Juan Pablo, Toxavidis, Vasilis, Urbanelli, Lorena, Vader, Pieter, Van Balkom, Bas Wm, Van Der Grein, Susanne G., Van Deun, Jan, Van Herwijnen, Martijn Jc, Van Keuren-Jensen, Kendall, Van Niel, Guillaume, Van Royen, Martin E., Van Wijnen, Andre J., Vasconcelos, M Helena, Vechetti, Ivan J., Veit, Tiago D., Vella, Laura J., Velot, Émilie, Verweij, Frederik J., Vestad, Beate, Viñas, Jose L., Visnovitz, Tamás, Vukman, Krisztina V., Wahlgren, Jessica, Watson, Dionysios C., Wauben, Marca Hm, Weaver, Alissa, Webber, Jason P., Weber, Viktoria, Wehman, Ann M., Weiss, Daniel J., Welsh, Joshua A., Wendt, Sebastian, Wheelock, Asa M., Wiener, Zoltán, Witte, Leonie, Wolfram, Joy, Xagorari, Angeliki, Xander, Patricia, Xu, Jing, Yan, Xiaomei, Yáñez-Mó, María, Yin, Hang, Yuana, Yuana, Zappulli, Valentina, Zarubova, Jana, Žėkas, Vytautas, Zhang, Jian-Ye, Zhao, Zezhou, Zheng, Lei, Zheutlin, Alexander R., Zickler, Antje M., Zimmermann, Pascale, Zivkovic, Angela M., Zocco, Davide, and Zuba-Surma, Ewa K.

Subjects
3. Good health

24. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines

Author

Théry, Clotilde, Witwer, Kenneth W, Aikawa, Elena, Alcaraz, Maria Jose, Anderson, Johnathon D, Andriantsitohaina, Ramaroson, Antoniou, Anna, Arab, Tanina, Archer, Fabienne, Atkin-Smith, Georgia K, Ayre, D Craig, Bach, Jean-Marie, Bachurski, Daniel, Baharvand, Hossein, Balaj, Leonora, Baldacchino, Shawn, Bauer, Natalie N, Baxter, Amy A, Bebawy, Mary, Beckham, Carla, Bedina Zavec, Apolonija, Benmoussa, Abderrahim, Berardi, Anna C, Bergese, Paolo, Bielska, Ewa, Blenkiron, Cherie, Bobis-Wozowicz, Sylwia, Boilard, Eric, Boireau, Wilfrid, Bongiovanni, Antonella, Borràs, Francesc E, Bosch, Steffi, Boulanger, Chantal M, Breakefield, Xandra, Breglio, Andrew M, Brennan, Meadhbh Á, Brigstock, David R, Brisson, Alain, Broekman, Marike LD, Bromberg, Jacqueline F, Bryl-Górecka, Paulina, Buch, Shilpa, Buck, Amy H, Burger, Dylan, Busatto, Sara, Buschmann, Dominik, Bussolati, Benedetta, Buzás, Edit I, Byrd, James Bryan, Camussi, Giovanni, Carter, David RF, Caruso, Sarah, Chamley, Lawrence W, Chang, Yu-Ting, Chen, Chihchen, Chen, Shuai, Cheng, Lesley, Chin, Andrew R, Clayton, Aled, Clerici, Stefano P, Cocks, Alex, Cocucci, Emanuele, Coffey, Robert J, Cordeiro-Da-Silva, Anabela, Couch, Yvonne, Coumans, Frank AW, Coyle, Beth, Crescitelli, Rossella, Criado, Miria Ferreira, D’Souza-Schorey, Crislyn, Das, Saumya, Datta Chaudhuri, Amrita, De Candia, Paola, De Santana, Eliezer F, De Wever, Olivier, Del Portillo, Hernando A, Demaret, Tanguy, Deville, Sarah, Devitt, Andrew, Dhondt, Bert, Di Vizio, Dolores, Dieterich, Lothar C, Dolo, Vincenza, Dominguez Rubio, Ana Paula, Dominici, Massimo, Dourado, Mauricio R, Driedonks, Tom AP, Duarte, Filipe V, Duncan, Heather M, Eichenberger, Ramon M, Ekström, Karin, EL Andaloussi, Samir, Elie-Caille, Celine, Erdbrügger, Uta, Falcón-Pérez, Juan M, Fatima, Farah, Fish, Jason E, Flores-Bellver, Miguel, Försönits, András, Frelet-Barrand, Annie, Fricke, Fabia, Fuhrmann, Gregor, Gabrielsson, Susanne, Gámez-Valero, Ana, Gardiner, Chris, Gärtner, Kathrin, Gaudin, Raphael, Gho, Yong Song, Giebel, Bernd, Gilbert, Caroline, Gimona, Mario, Giusti, Ilaria, Goberdhan, Deborah CI, Görgens, André, Gorski, Sharon M, Greening, David W, Gross, Julia Christina, Gualerzi, Alice, Gupta, Gopal N, Gustafson, Dakota, Handberg, Aase, Haraszti, Reka A, Harrison, Paul, Hegyesi, Hargita, Hendrix, An, Hill, Andrew F, Hochberg, Fred H, Hoffmann, Karl F, Holder, Beth, Holthofer, Harry, Hosseinkhani, Baharak, Hu, Guoku, Huang, Yiyao, Huber, Veronica, Hunt, Stuart, Ibrahim, Ahmed Gamal-Eldin, Ikezu, Tsuneya, Inal, Jameel M, Isin, Mustafa, Ivanova, Alena, Jackson, Hannah K, Jacobsen, Soren, Jay, Steven M, Jayachandran, Muthuvel, Jenster, Guido, Jiang, Lanzhou, Johnson, Suzanne M, Jones, Jennifer C, Jong, Ambrose, Jovanovic-Talisman, Tijana, Jung, Stephanie, Kalluri, Raghu, Kano, Shin-Ichi, Kaur, Sukhbir, Kawamura, Yumi, Keller, Evan T, Khamari, Delaram, Khomyakova, Elena, Khvorova, Anastasia, Kierulf, Peter, Kim, Kwang Pyo, Kislinger, Thomas, Klingeborn, Mikael, Klinke, David J, Kornek, Miroslaw, Kosanović, Maja M, Kovács, Árpád Ferenc, Krämer-Albers, Eva-Maria, Krasemann, Susanne, Krause, Mirja, Kurochkin, Igor V, Kusuma, Gina D, Kuypers, Sören, Laitinen, Saara, Langevin, Scott M, Languino, Lucia R, Lannigan, Joanne, Lässer, Cecilia, Laurent, Louise C, Lavieu, Gregory, Lázaro-Ibáñez, Elisa, Le Lay, Soazig, Lee, Myung-Shin, Lee, Yi Xin Fiona, Lemos, Debora S, Lenassi, Metka, Leszczynska, Aleksandra, Li, Isaac TS, Liao, Ke, Libregts, Sten F, Ligeti, Erzsebet, Lim, Rebecca, Lim, Sai Kiang, Linē, Aija, Linnemannstöns, Karen, Llorente, Alicia, Lombard, Catherine A, Lorenowicz, Magdalena J, Lörincz, Ákos M, Lötvall, Jan, Lovett, Jason, Lowry, Michelle C, Loyer, Xavier, Lu, Quan, Lukomska, Barbara, Lunavat, Taral R, Maas, Sybren LN, Malhi, Harmeet, Marcilla, Antonio, Mariani, Jacopo, Mariscal, Javier, Martens-Uzunova, Elena S, Martin-Jaular, Lorena, Martinez, M Carmen, Martins, Vilma Regina, Mathieu, Mathilde, Mathivanan, Suresh, Maugeri, Marco, McGinnis, Lynda K, McVey, Mark J, Meckes, David G, Meehan, Katie L, Mertens, Inge, Minciacchi, Valentina R, Möller, Andreas, Møller Jørgensen, Malene, Morales-Kastresana, Aizea, Morhayim, Jess, Mullier, François, Muraca, Maurizio, Musante, Luca, Mussack, Veronika, Muth, Dillon C, Myburgh, Kathryn H, Najrana, Tanbir, Nawaz, Muhammad, Nazarenko, Irina, Nejsum, Peter, Neri, Christian, Neri, Tommaso, Nieuwland, Rienk, Nimrichter, Leonardo, Nolan, John P, Nolte-’T Hoen, Esther NM, Noren Hooten, Nicole, O’Driscoll, Lorraine, O’Grady, Tina, O’Loghlen, Ana, Ochiya, Takahiro, Olivier, Martin, Ortiz, Alberto, Ortiz, Luis A, Osteikoetxea, Xabier, Ostegaard, Ole, Ostrowski, Matias, Park, Jaesung, Pegtel, D. Michiel, Peinado, Hector, Perut, Francesca, Pfaffl, Michael W, Phinney, Donald G, Pieters, Bartijn CH, Pink, Ryan C, Pisetsky, David S, Pogge Von Strandmann, Elke, Polakovicova, Iva, Poon, Ivan KH, Powell, Bonita H, Prada, Ilaria, Pulliam, Lynn, Quesenberry, Peter, Radeghieri, Annalisa, Raffai, Robert L, Raimondo, Stefania, Rak, Janusz, Ramirez, Marcel I, Raposo, Graça, Rayyan, Morsi S, Regev-Rudzki, Neta, Ricklefs, Franz L, Robbins, Paul D, Roberts, David D, Rodrigues, Silvia C, Rohde, Eva, Rome, Sophie, Rouschop, Kasper MA, Rughetti, Aurelia, Russell, Ashley E, Saá, Paula, Sahoo, Susmita, Salas-Huenuleo, Edison, Sánchez, Catherine, Saugstad, Julie A, Saul, Meike J, Schiffelers, Raymond M, Schneider, Raphael, Schøyen, Tine Hiorth, Scott, Aaron, Shahaj, Eriomina, Sharma, Shivani, Shatnyeva, Olga, Shekari, Faezeh, Shelke, Ganesh Vilas, Shetty, Ashok K, Shiba, Kiyotaka, Siljander, Pia R-M, Silva, Andreia M, Skowronek, Agata, Snyder, Orman L, Soares, Rodrigo Pedro, Sódar, Barbara W, Soekmadji, Carolina, Sotillo, Javier, Stahl, Philip D, Stoorvogel, Willem, Stott, Shannon L, Strasser, Erwin F, Swift, Simon, Tahara, Hidetoshi, Tewari, Muneesh, Timms, Kate, Tiwari, Swasti, Tixeira, Rochelle, Tkach, Mercedes, Toh, Wei Seong, Tomasini, Richard, Torrecilhas, Ana Claudia, Tosar, Juan Pablo, Toxavidis, Vasilis, Urbanelli, Lorena, Vader, Pieter, Van Balkom, Bas WM, Van Der Grein, Susanne G, Van Deun, Jan, Van Herwijnen, Martijn JC, Van Keuren-Jensen, Kendall, Van Niel, Guillaume, Van Royen, Martin E, Van Wijnen, Andre J, Vasconcelos, M Helena, Vechetti, Ivan J, Veit, Tiago D, Vella, Laura J, Velot, Émilie, Verweij, Frederik J, Vestad, Beate, Viñas, Jose L, Visnovitz, Tamás, Vukman, Krisztina V, Wahlgren, Jessica, Watson, Dionysios C, Wauben, Marca HM, Weaver, Alissa, Webber, Jason P, Weber, Viktoria, Wehman, Ann M, Weiss, Daniel J, Welsh, Joshua A, Wendt, Sebastian, Wheelock, Asa M, Wiener, Zoltán, Witte, Leonie, Wolfram, Joy, Xagorari, Angeliki, Xander, Patricia, Xu, Jing, Yan, Xiaomei, Yáñez-Mó, María, Yin, Hang, Yuana, Yuana, Zappulli, Valentina, Zarubova, Jana, Žėkas, Vytautas, Zhang, Jian-Ye, Zhao, Zezhou, Zheng, Lei, Zheutlin, Alexander R, Zickler, Antje M, Zimmermann, Pascale, Zivkovic, Angela M, Zocco, Davide, and Zuba-Surma, Ewa K

Subjects
3. Good health
Abstract

Journal of extracellular vesicles 7(1), 1535750 (2018). doi:10.1080/20013078.2018.1535750, Published by Co-Action Publ., [S.l.]

25. The rRNA epitranscriptome and myonuclear SNORD landscape in skeletal muscle fibers contributes to ribosome heterogeneity and is altered by a hypertrophic stimulus.

Author

Cui M, Jannig P, Halladjian M, Figueiredo VC, Wen Y, Vechetti IJ, Krogh N, Jude B, Edman S, Lanner J, McCarthy J, Murach KA, Sejersen T, Nielsen H, and von Walden F

Subjects
Animals, Mice, Hypertrophy genetics, Male, Mice, Inbred C57BL, RNA Processing, Post-Transcriptional, Muscle, Skeletal metabolism, Epigenesis, Genetic, Ribosomes metabolism, Ribosomes genetics, RNA, Ribosomal genetics, RNA, Ribosomal metabolism, Muscle Fibers, Skeletal metabolism, RNA, Small Nucleolar genetics, RNA, Small Nucleolar metabolism, Transcriptome
Abstract

In cell biology, ribosomal RNA (rRNA) 2' O -methyl (2'- O -Me) is the most prevalent posttranscriptional chemical modification contributing to ribosome heterogeneity. The modification involves a family of small nucleolar RNAs (snoRNAs) and is specified by box C/D snoRNAs (SNORDs). Given the importance of ribosome biogenesis for skeletal muscle growth, we asked if rRNA 2'- O -Me in nascent ribosomes synthesized in response to a growth stimulus is an unrecognized mode of ribosome heterogeneity in muscle. To determine the pattern and dynamics of 2'- O -Me rRNA, we used a sequencing-based profiling method called RiboMeth-seq (RMS). We applied this method to tissue-derived rRNA of skeletal muscle and rRNA specifically from the muscle fiber using an inducible myofiber-specific RiboTag mouse in sedentary and mechanically overloaded conditions. These analyses were complemented by myonuclear-specific small RNA sequencing to profile SNORDs and link the rRNA epitranscriptome to known regulatory elements generated within the muscle fiber. We demonstrate for the first time that mechanical overload of skeletal muscle 1 ) induces decreased 2'- O -Me at a subset of skeletal muscle rRNA and 2 ) alters the SNORD profile in isolated myonuclei. These findings point to a transient diversification of the ribosome pool via 2'- O -Me during growth and adaptation in skeletal muscle. These findings suggest changes in ribosome heterogeneity at the 2'- O -Me level during muscle hypertrophy and lay the foundation for studies investigating the functional implications of these newly identified "growth-induced" ribosomes. NEW & NOTEWORTHY Ribosomal RNAs (rRNAs) are posttranscriptionally modified by 2' O -methyl (2'- O -Me). This study applied RiboMeth-seq (RMS) to detect changes in 2'- O -Me levels during skeletal muscle hypertrophy, uncovering transient diversification of the ribosome pool in skeletal muscle fibers. This work implies a role for ribosome heterogeneity in skeletal muscle growth and adaptation.

Published
2024
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26. Coordinated Regulation of Myonuclear DNA Methylation, mRNA, and miRNA Levels Associates With the Metabolic Response to Rapid Synergist Ablation-Induced Skeletal Muscle Hypertrophy in Female Mice.

Author

Ismaeel A, Thomas NT, McCashland M, Vechetti IJ, Edman S, Lanner JT, Figueiredo VC, Fry CS, McCarthy JJ, Wen Y, Murach KA, and von Walden F

Subjects
Animals, Mice, Female, DNA Methylation genetics, RNA, Messenger genetics, Hypertrophy genetics, Muscle, Skeletal metabolism, MicroRNAs genetics
Abstract

The central dogma of molecular biology dictates the general flow of molecular information from DNA that leads to a functional cellular outcome. In skeletal muscle fibers, the extent to which global myonuclear transcriptional alterations, accounting for epigenetic and post-transcriptional influences, contribute to an adaptive stress response is not clearly defined. In this investigation, we leveraged an integrated analysis of the myonucleus-specific DNA methylome and transcriptome, as well as myonuclear small RNA profiling to molecularly define the early phase of skeletal muscle fiber hypertrophy. The analysis of myonucleus-specific mature microRNA and other small RNA species provides new directions for exploring muscle adaptation and complemented the methylation and transcriptional information. Our integrated multi-omics interrogation revealed a coordinated myonuclear molecular landscape during muscle loading that coincides with an acute and rapid reduction of oxidative metabolism. This response may favor a biosynthesis-oriented metabolic program that supports rapid hypertrophic growth., Competing Interests: None declared., (© The Author(s) 2023. Published by Oxford University Press on behalf of American Physiological Society.)

Published
2023
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27. MicroRNA control of the myogenic cell transcriptome and proteome: the role of miR-16.

Author

Lim S, Lee DE, Morena da Silva F, Koopmans PJ, Vechetti IJ Jr, von Walden F, Greene NP, and Murach KA

Subjects
Cell Differentiation genetics, Muscle Development genetics, Muscle Fibers, Skeletal metabolism, Proteome genetics, Proteomics, Transcriptome genetics, Animals, Mice, MicroRNAs genetics, MicroRNAs metabolism
Abstract

MicroRNAs (miRs) control stem cell biology and fate. Ubiquitously expressed and conserved miR-16 was the first miR implicated in tumorigenesis. miR-16 is low in muscle during developmental hypertrophy and regeneration. It is enriched in proliferating myogenic progenitor cells but is repressed during differentiation. The induction of miR-16 blocks myoblast differentiation and myotube formation, whereas knockdown enhances these processes. Despite a central role for miR-16 in myogenic cell biology, how it mediates its potent effects is incompletely defined. In this investigation, global transcriptomic and proteomic analyses after miR-16 knockdown in proliferating C2C12 myoblasts revealed how miR-16 influences myogenic cell fate. Eighteen hours after miR-16 inhibition, ribosomal protein gene expression levels were higher relative to control myoblasts and p53 pathway-related gene abundance was lower. At the protein level at this same time point, miR-16 knockdown globally upregulated tricarboxylic acid (TCA) cycle proteins while downregulating RNA metabolism-related proteins. miR-16 inhibition induced specific proteins associated with myogenic differentiation such as ACTA2, EEF1A2, and OPA1. We extend prior work in hypertrophic muscle tissue and show that miR-16 is lower in mechanically overloaded muscle in vivo. Our data collectively point to how miR-16 is implicated in aspects of myogenic cell differentiation. A deeper understanding of the role of miR-16 in myogenic cells has consequences for muscle developmental growth, exercise-induced hypertrophy, and regenerative repair after injury, all of which involve myogenic progenitors.

Published
2023
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28. Extracellular vesicle characteristics and microRNA content in cerebral palsy and typically developed individuals at rest and in response to aerobic exercise.

Author

Vechetti IJ, Norrbom J, Alkner B, Hjalmarsson E, Palmcrantz A, Pontén E, Pingel J, von Walden F, and Fernandez-Gonzalo R

Abstract

In this study, the properties of circulating extracellular vesicles (EVs) were examined in cerebral palsy (CP) and typically developed (TD) individuals at rest and after aerobic exercise, focusing on the size, concentration, and microRNA cargo of EVs. Nine adult individuals with CP performed a single exercise bout consisting of 45 min of Frame Running, and TD participants completed either 45 min of cycling ( n = 10; TD EX) or were enrolled as controls with no exercise ( n = 10; TD CON). Blood was drawn before and 30 min after exercise and analyzed for EV concentration, size, and microRNA content. The size of EVs was similar in CP vs. TD, and exercise had no effect. Individuals with CP had an overall lower concentration (∼25%, p < 0.05) of EVs. At baseline, let-7a, let-7b and let-7e were downregulated in individuals with CP compared to TD ( p < 0.05), while miR-100 expression was higher, and miR-877 and miR-4433 lower in CP compared to TD after exercise ( p < 0.05). Interestingly, miR-486 was upregulated ∼2-fold in the EVs of CP vs. TD both at baseline and after exercise. We then performed an in silico analysis of miR-486 targets and identified the satellite cell stemness factor Pax7 as a target of miR-486. C2C12 myoblasts were cultured with a miR-486 mimetic and RNA-sequencing was performed. Gene enrichment analysis revealed that several genes involved in sarcomerogenesis and extracellular matrix (ECM) were downregulated. Our data suggest that circulating miR-486 transported by EVs is elevated in individuals with CP and that miR-486 alters the transcriptome of myoblasts affecting both ECM- and sarcomerogenesis-related genes, providing a link to the skeletal muscle alterations observed in individuals with CP., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Vechetti, Norrbom, Alkner, Hjalmarsson, Palmcrantz, Pontén, Pingel, von Walden and Fernandez-Gonzalo.)

Published
2022
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29. Urine miRNAs as potential biomarkers for systemic reactions induced by exposure to embedded metal.

Author

Vechetti IJ Jr, Wen Y, Hoffman JF, Alimov AP, Vergara VB, Kalinich JF, Gaitens JM, Hines SE, McDiarmid MA, McCarthy JJ, and Peterson CA

Subjects
Animals, Biomarkers metabolism, Gene Expression Profiling methods, Humans, Male, Mass Spectrometry methods, Metals urine, MicroRNAs genetics, Military Medicine methods, Models, Animal, Muscle, Skeletal metabolism, Muscle, Skeletal pathology, RNA-Seq methods, Rats, Sprague-Dawley, Veterans, Rats, Biomarkers urine, Gene Expression Regulation drug effects, Metals pharmacology, MicroRNAs urine, Muscle, Skeletal drug effects
Abstract

Aim: Explore the potential of urine microRNAs as biomarkers that may reflect the biological responses to pure metals embedded in skeletal muscle over time. Materials & methods: We tested a panel of military-relevant metals embedded in the gastrocnemius muscles of 3-month-old, male, Sprague-Dawley rats (n = 8/group) for a duration of 1, 3, 6 and 12 months, and performed small RNA-sequencing on the urine samples. Results: Results provide potential tissue targets affected by metal exposure and a list of unique or common urine microRNA biomarkers indicative of exposure to various metals, highlighting a complex systemic response. Conclusion: We have identified a panel of miRNAs as potential urine biomarkers to reflect the complex systemic response to embedded metal exposure.

Published
2021
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30. Mechanical overload-induced muscle-derived extracellular vesicles promote adipose tissue lipolysis.

Author

Vechetti IJ Jr, Peck BD, Wen Y, Walton RG, Valentino TR, Alimov AP, Dungan CM, Van Pelt DW, von Walden F, Alkner B, Peterson CA, and McCarthy JJ

Subjects
Adolescent, Adult, Animals, Female, Gene Expression Regulation, Humans, Male, Mice, Mice, Inbred C57BL, Middle Aged, Transcription Factor AP-2 genetics, Young Adult, Adipose Tissue, White physiopathology, Exercise, Extracellular Vesicles physiology, Lipolysis, MicroRNAs genetics, Muscle, Skeletal physiopathology, Stress, Mechanical, Transcription Factor AP-2 metabolism
Abstract

How regular physical activity is able to improve health remains poorly understood. The release of factors from skeletal muscle following exercise has been proposed as a possible mechanism mediating such systemic benefits. We describe a mechanism wherein skeletal muscle, in response to a hypertrophic stimulus induced by mechanical overload (MOV), released extracellular vesicles (EVs) containing muscle-specific miR-1 that were preferentially taken up by epidydimal white adipose tissue (eWAT). In eWAT, miR-1 promoted adrenergic signaling and lipolysis by targeting Tfap2α, a known repressor of Adrβ3 expression. Inhibiting EV release prevented the MOV-induced increase in eWAT miR-1 abundance and expression of lipolytic genes. Resistance exercise decreased skeletal muscle miR-1 expression with a concomitant increase in plasma EV miR-1 abundance, suggesting a similar mechanism may be operative in humans. Altogether, these findings demonstrate that skeletal muscle promotes metabolic adaptations in adipose tissue in response to MOV via EV-mediated delivery of miR-1., (© 2021 Federation of American Societies for Experimental Biology.)

Published
2021
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31. Exercise-mediated alteration of hippocampal Dicer mRNA and miRNAs is associated with lower BACE1 gene expression and Aβ 1-42 in female 3xTg-AD mice.

Author

Dungan CM, Valentino T, Vechetti IJ Jr, Zdunek CJ, Murphy MP, Lin AL, McCarthy JJ, and Peterson CA

Subjects
Animals, Disease Models, Animal, Female, Mice, Transgenic, Motor Activity, RNA, Messenger metabolism, Alzheimer Disease metabolism, Amyloid Precursor Protein Secretases metabolism, Amyloid beta-Peptides metabolism, Aspartic Acid Endopeptidases metabolism, DEAD-box RNA Helicases metabolism, Hippocampus metabolism, MicroRNAs metabolism, Peptide Fragments metabolism, Physical Conditioning, Animal, Ribonuclease III metabolism
Abstract

Changes to cerebral miRNA expression have been implicated in the progression of Alzheimer's disease (AD), as miRNAs that regulate the expression of gene products involved in amyloid beta (Aβ) processing, such as BACE1, are dysregulated in those that suffer from AD. Exercise training improves cognition and reduces BACE1 and Aβ-plaque burden; however, the mechanisms are not fully understood. Using our progressive weighted wheel running (PoWeR) exercise program, we assessed the effect of 20 wk of exercise training on changes in hippocampal miRNA expression in female 3xTg-AD (3xTg) mice. PoWeR was sufficient to promote muscle hypertrophy and increase myonuclear abundance. Furthermore, PoWeR elevated hippocampal Dicer gene expression in 3xTg mice, while altering miRNA expression toward a more wild-type profile. Specifically, miR-29, which is validated to target BACE1, was significantly lower in sedentary 3xTg mice when compared with wild-type but was elevated following PoWeR. Accordingly, BACE1 gene expression, along with detergent-soluble Aβ 1-42 , was lower in PoWeR-trained 3xTg mice. Our data suggest that PoWeR training upregulates Dicer gene expression to alter cerebral miRNA expression, which may contribute to reduced Aβ accumulation and delay AD progression. NEW & NOTEWORTHY Previous studies have outlined the beneficial effects of exercise on lowering BACE1 expression and reducing Aβ plaques. This study extends upon the work of others by outlining a new potential mechanism by which exercise elicits beneficial effects on Alzheimer's disease pathology, specifically through modulation of Dicer and miRNA expression. This is the first study to examine Dicer and miRNA expression in the hippocampus of the 3xTg model within the context of exercise.

Published
2020
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32. Time-course analysis of the effect of embedded metal on skeletal muscle gene expression.

Author

Wen Y, Vechetti IJ Jr, Alimov AP, Hoffman JF, Vergara VB, Kalinich JF, McCarthy JJ, and Peterson CA

Subjects
Animals, Carcinogens, Male, Models, Animal, RNA genetics, RNA isolation & purification, Rats, Rats, Sprague-Dawley, Sequence Analysis, RNA, Time Factors, Gene Expression, Metals, Heavy, Muscle, Skeletal, Transcriptome, Wounds, Penetrating genetics
Abstract

As a consequence of military operations, many veterans suffer from penetrating wounds and long-term retention of military-grade heavy metal fragments. Fragments vary in size and location, and complete surgical removal may not be feasible or beneficial in all cases. Increasing evidence suggests retention of heavy metal fragments may have serious biological implications, including increased risks for malignant transformation. Previous studies assessed the tumorigenic effects of metal alloys in rats, demonstrating combinations of metals are sufficient to induce tumor formation after prolonged retention in skeletal muscle tissue. In this study, we analyzed transcriptional changes in skeletal muscle tissue in response to eight different military-relevant pure metals over 12 mo. We found that most transcriptional changes occur at 1 and 3 mo after metal pellets are embedded in skeletal muscle and these effects resolve at 6 and 12 mo. We also report significant immunogenic effects of nickel and cobalt and suppressive effects of lead and depleted uranium on gene expression. Overall, skeletal muscle exhibits a remarkable capacity to adapt to and recover from internalized metal fragments; however, the cellular response to chronic exposure may be restricted to the metal-tissue interface. These data suggest that unless affected regions are specifically captured by biopsy, it would be difficult to reliably detect changes in muscle gene expression that would be indicative of long-term adverse health outcomes.

Published
2020
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33. High-yield skeletal muscle protein recovery from TRIzol after RNA and DNA extraction.

Author

Wen Y, Vechetti IJ Jr, Valentino TR, and McCarthy JJ

Subjects
Blotting, Western, DNA chemistry, Genomics, Humans, Muscle Proteins chemistry, Muscle Proteins genetics, Muscle, Skeletal chemistry, Muscle, Skeletal metabolism, RNA chemistry, DNA isolation & purification, Guanidines pharmacology, Muscle Proteins isolation & purification, Phenols pharmacology, RNA isolation & purification
Abstract

Extraction of DNA, RNA and protein from the same sample would allow for direct comparison of genomic, transcriptomic and proteomic information. Commercially available kits exhibit poor protein yield and the TRIzol ® reagent produces a protein pellet that is extremely difficult to solubilize. In response to these limitations, this study presents an optimized method for the extraction of protein from the organic phase of TRIzol that allows for higher yield recovery of skeletal muscle protein compared with direct homogenization in a common protein lysis buffer. The presented method is inexpensive, simple and fast, requires no additional treatment of the protein pellet for dissolution, and is compatible with downstream western blot applications.

Published
2020
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34. CORP: Using transgenic mice to study skeletal muscle physiology.

Author

Mobley CB, Vechetti IJ Jr, Valentino TR, and McCarthy JJ

Subjects
Animals, Mice, Mice, Knockout, Mice, Transgenic, Muscle, Skeletal, Phenotype, Integrases genetics, Musculoskeletal Physiological Phenomena
Abstract

The development of tissue-specific inducible transgenic mice has provided a powerful tool to study gene function and cell biology in almost any tissue of interest at any given time within the animal's life. The purpose of this review is to describe how to use two different inducible transgenic systems, the Cre-loxP system and the Tet-ON/OFF system, that can be used to study skeletal muscle physiology. Myofiber- and satellite cell-specific Cre-loxP transgenic mice are described as is how these mice can be used to knockout a gene of interest or to deplete satellite cells in adult skeletal muscle, respectively. A myofiber-specific Tet-ON system is described as is how such mice can be used to overexpress a gene of interest or to label myonuclei. How to effectively breed and genotype the transgenic mice are also described in detail. The hope is this review will provide the basic information necessary to facilitate the incorporation of tissue-specific inducible transgenic mice into a skeletal muscle research program.

Published
2020
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35. Fusion-Independent Satellite Cell Communication to Muscle Fibers During Load-Induced Hypertrophy.

Author

Murach KA, Vechetti IJ Jr, Van Pelt DW, Crow SE, Dungan CM, Figueiredo VC, Kosmac K, Fu X, Richards CI, Fry CS, McCarthy JJ, and Peterson CA

Subjects
Mice, Animals, Disease Models, Animal, Hypertrophy metabolism, Cell Communication, Muscle Fibers, Skeletal metabolism, Extracellular Matrix metabolism
Abstract

The "canonical" function of Pax7+ muscle stem cells (satellite cells) during hypertrophic growth of adult muscle fibers is myonuclear donation via fusion to support increased transcriptional output. In recent years, however, emerging evidence suggests that satellite cells play an important secretory role in promoting load-mediated growth. Utilizing genetically modified mouse models of delayed satellite cell fusion and in vivo extracellular vesicle (EV) tracking, we provide evidence for satellite cell communication to muscle fibers during hypertrophy. Myogenic progenitor cell-EV-mediated communication to myotubes in vitro influences extracellular matrix (ECM)-related gene expression, which is congruent with in vivo overload experiments involving satellite cell depletion, as well as in silico analyses. Satellite cell-derived EVs can transfer a Cre-induced, cytoplasmic-localized fluorescent reporter to muscle cells as well as microRNAs that regulate ECM genes such as matrix metalloproteinase 9 ( Mmp9 ), which may facilitate growth. Delayed satellite cell fusion did not limit long-term load-induced muscle hypertrophy indicating that early fusion-independent communication from satellite cells to muscle fibers is an underappreciated aspect of satellite cell biology. We cannot exclude the possibility that satellite cell-mediated myonuclear accretion is necessary to maintain prolonged growth, specifically in the later phases of adaptation, but these data collectively highlight how EV delivery from satellite cells can directly contribute to mechanical load-induced muscle fiber hypertrophy, independent of cell fusion to the fiber., (© American Physiological Society 2020.)

Published
2020
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36. Phosphorylation of eukaryotic initiation factor 4E is dispensable for skeletal muscle hypertrophy.

Author

Figueiredo VC, Englund DA, Vechetti IJ Jr, Alimov A, Peterson CA, and McCarthy JJ

Subjects
Animals, Biomechanical Phenomena, Cyclin D1 genetics, Cyclin D1 metabolism, Eukaryotic Initiation Factor-4E metabolism, Female, Gene Expression Regulation, Gene Knock-In Techniques, Hypertrophy metabolism, Hypertrophy pathology, Male, Mice, Mice, Inbred C57BL, Muscle, Skeletal pathology, Nuclear Proteins genetics, Nuclear Proteins metabolism, Organelle Biogenesis, Phosphorylation, Proto-Oncogene Proteins c-myc genetics, Proto-Oncogene Proteins c-myc metabolism, RNA, Ribosomal genetics, RNA, Ribosomal metabolism, Ribosomes genetics, Ribosomes metabolism, Signal Transduction, Eukaryotic Initiation Factor-4E genetics, Hypertrophy genetics, Muscle, Skeletal metabolism, Protein Biosynthesis, Serine metabolism
Abstract

The eukaryotic initiation factor 4E (eIF4E) is a major mRNA cap-binding protein that has a central role in translation initiation. Ser 209 is the single phosphorylation site within eIF4E and modulates its activity in response to MAPK pathway activation. It has been reported that phosphorylation of eIF4E at Ser 209 promotes translation of key mRNAs, such as cyclin D1, that regulate ribosome biogenesis. We hypothesized that phosphorylation at Ser 209 is required for skeletal muscle growth in response to a hypertrophic stimulus by promoting ribosome biogenesis. To test this hypothesis, wild-type (WT) and eIF4E knocked-in (KI) mice were subjected to synergist ablation to induce muscle hypertrophy of the plantaris muscle as the result of mechanical overload; in the KI mouse, Ser 209 of eIF4E was replaced with a nonphosphorylatable alanine. Contrary to our hypothesis, we observed no difference in the magnitude of hypertrophy between WT and KI groups in response to 14 days of mechanical overload induced by synergist ablation. Similarly, the increases in cyclin D1 protein levels, ribosome biogenesis, and translational capacity did not differ between WT and KI groups. Based on these findings, we conclude that phosphorylation of eIF4E at Ser 209 is dispensable for skeletal muscle hypertrophy in response to mechanical overload.

Published
2019
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37. Hydrophobic sand is a viable method of urine collection from the rat for extracellular vesicle biomarker analysis.

Author

Hoffman JF, Vechetti IJ Jr, Alimov AP, Kalinich JF, McCarthy JJ, and Peterson CA

Abstract

Previously we have shown in rats a new method of urine collection, hydrophobic sand, to be an acceptable alternate in place of the traditional method using metabolic cages. Hydrophobic sand is non-toxic, induces similar or lower levels of stress in the rat, and does not contaminate clinical urine markers nor metal concentrations in collected samples (Hoffman et al., 2017 and 2018). Urine is often used in humans and many animal models as a readily-attainable biosample which contains proteins and microRNAs (miRNAs) within extracellular vesicles (EVs) that can be isolated to indicate changes in health. In order to ensure hydrophobic sand did not in any way contaminate or disrupt the extraction and analysis of these EVs and miRNAs, we used urine samples from the same 8 rats in the within-subjects crossover experiment comparing hydrophobic sand and metabolic cage collection methods. We isolated EVs and miRNAs from the urine set and examined their quantity and quality between the urine collection methods. We found no significant differences in particle size, particle concentration, total RNA, or the type and abundance of miRNAs contained within the urine EVs due to urine collection method, suggesting hydrophobic sand represents an easy-to-use, non-invasive method to collect rodent urine for EVs and biomarker studies.

Published
2019
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38. Emerging role of extracellular vesicles in the regulation of skeletal muscle adaptation.

Author

Vechetti IJ Jr

Subjects
Animals, Cell Communication physiology, Humans, Signal Transduction physiology, Adaptation, Physiological physiology, Extracellular Vesicles physiology, Muscle, Skeletal physiology
Abstract

Extracellular vesicles (EVs) were initially characterized as "garbage bags" with the purpose of removing unwanted material from cells. It is now becoming clear that EVs mediate intercellular communication between distant cells through a transfer of genetic material, a process important to the systemic adaptation in physiological and pathological conditions. Although speculative, it has been suggested that the majority of EVs that make it into the bloodstream would be coming from skeletal muscle, since it is one of the largest organs in the human body. Although it is well established that skeletal muscle secretes peptides (currently known as myokines) into the bloodstream, the notion that skeletal muscle releases EVs is in its infancy. Besides intercellular communication and systemic adaptation, EV release could represent the mechanism by which muscle adapts to certain stimuli. This review summarizes the current understanding of EV biology and biogenesis and current isolation methods and briefly discusses the possible role EVs have in regulating skeletal muscle mass.

Published
2019
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39. Elevated myonuclear density during skeletal muscle hypertrophy in response to training is reversed during detraining.

Author

Dungan CM, Murach KA, Frick KK, Jones SR, Crow SE, Englund DA, Vechetti IJ Jr, Figueiredo VC, Levitan BM, Satin J, McCarthy JJ, and Peterson CA

Subjects
Animals, Female, Hypertrophy pathology, Mice, Mice, Inbred C57BL, Muscle Fibers, Skeletal pathology, Muscle Fibers, Skeletal physiology, Physical Conditioning, Animal methods, Physical Conditioning, Animal physiology, Weight-Bearing physiology
Abstract

Myonuclei gained during exercise-induced skeletal muscle hypertrophy may be long-lasting and could facilitate future muscle adaptability after deconditioning, a concept colloquially termed "muscle memory." The evidence for this is limited, mostly due to the lack of a murine exercise-training paradigm that is nonsurgical and reversible. To address this limitation, we developed a novel progressive weighted-wheel-running (PoWeR) model of murine exercise training to test whether myonuclei gained during exercise persist after detraining. We hypothesized that myonuclei acquired during training-induced hypertrophy would remain following loss of muscle mass with detraining. Singly housed female C57BL/6J mice performed 8 wk of PoWeR, while another group performed 8 wk of PoWeR followed by 12 wk of detraining. Age-matched sedentary cage-dwelling mice served as untrained controls. Eight weeks of PoWeR yielded significant plantaris muscle fiber hypertrophy, a shift to a more oxidative phenotype, and greater myonuclear density than untrained mice. After 12 wk of detraining, the plantaris muscle returned to an untrained phenotype with fewer myonuclei. A finding of fewer myonuclei simultaneously with plantaris deconditioning argues against a muscle memory mechanism mediated by elevated myonuclear density in primarily fast-twitch muscle. PoWeR is a novel, practical, and easy-to-deploy approach for eliciting robust hypertrophy in mice, and our findings can inform future research on the mechanisms underlying skeletal muscle adaptive potential and muscle memory.

Published
2019
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40. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines.

Author

Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, Antoniou A, Arab T, Archer F, Atkin-Smith GK, Ayre DC, Bach JM, Bachurski D, Baharvand H, Balaj L, Baldacchino S, Bauer NN, Baxter AA, Bebawy M, Beckham C, Bedina Zavec A, Benmoussa A, Berardi AC, Bergese P, Bielska E, Blenkiron C, Bobis-Wozowicz S, Boilard E, Boireau W, Bongiovanni A, Borràs FE, Bosch S, Boulanger CM, Breakefield X, Breglio AM, Brennan MÁ, Brigstock DR, Brisson A, Broekman ML, Bromberg JF, Bryl-Górecka P, Buch S, Buck AH, Burger D, Busatto S, Buschmann D, Bussolati B, Buzás EI, Byrd JB, Camussi G, Carter DR, Caruso S, Chamley LW, Chang YT, Chen C, Chen S, Cheng L, Chin AR, Clayton A, Clerici SP, Cocks A, Cocucci E, Coffey RJ, Cordeiro-da-Silva A, Couch Y, Coumans FA, Coyle B, Crescitelli R, Criado MF, D'Souza-Schorey C, Das S, Datta Chaudhuri A, de Candia P, De Santana EF, De Wever O, Del Portillo HA, Demaret T, Deville S, Devitt A, Dhondt B, Di Vizio D, Dieterich LC, Dolo V, Dominguez Rubio AP, Dominici M, Dourado MR, Driedonks TA, Duarte FV, Duncan HM, Eichenberger RM, Ekström K, El Andaloussi S, Elie-Caille C, Erdbrügger U, Falcón-Pérez JM, Fatima F, Fish JE, Flores-Bellver M, Försönits A, Frelet-Barrand A, Fricke F, Fuhrmann G, Gabrielsson S, Gámez-Valero A, Gardiner C, Gärtner K, Gaudin R, Gho YS, Giebel B, Gilbert C, Gimona M, Giusti I, Goberdhan DC, Görgens A, Gorski SM, Greening DW, Gross JC, Gualerzi A, Gupta GN, Gustafson D, Handberg A, Haraszti RA, Harrison P, Hegyesi H, Hendrix A, Hill AF, Hochberg FH, Hoffmann KF, Holder B, Holthofer H, Hosseinkhani B, Hu G, Huang Y, Huber V, Hunt S, Ibrahim AG, Ikezu T, Inal JM, Isin M, Ivanova A, Jackson HK, Jacobsen S, Jay SM, Jayachandran M, Jenster G, Jiang L, Johnson SM, Jones JC, Jong A, Jovanovic-Talisman T, Jung S, Kalluri R, Kano SI, Kaur S, Kawamura Y, Keller ET, Khamari D, Khomyakova E, Khvorova A, Kierulf P, Kim KP, Kislinger T, Klingeborn M, Klinke DJ 2nd, Kornek M, Kosanović MM, Kovács ÁF, Krämer-Albers EM, Krasemann S, Krause M, Kurochkin IV, Kusuma GD, Kuypers S, Laitinen S, Langevin SM, Languino LR, Lannigan J, Lässer C, Laurent LC, Lavieu G, Lázaro-Ibáñez E, Le Lay S, Lee MS, Lee YXF, Lemos DS, Lenassi M, Leszczynska A, Li IT, Liao K, Libregts SF, Ligeti E, Lim R, Lim SK, Linē A, Linnemannstöns K, Llorente A, Lombard CA, Lorenowicz MJ, Lörincz ÁM, Lötvall J, Lovett J, Lowry MC, Loyer X, Lu Q, Lukomska B, Lunavat TR, Maas SL, Malhi H, Marcilla A, Mariani J, Mariscal J, Martens-Uzunova ES, Martin-Jaular L, Martinez MC, Martins VR, Mathieu M, Mathivanan S, Maugeri M, McGinnis LK, McVey MJ, Meckes DG Jr, Meehan KL, Mertens I, Minciacchi VR, Möller A, Møller Jørgensen M, Morales-Kastresana A, Morhayim J, Mullier F, Muraca M, Musante L, Mussack V, Muth DC, Myburgh KH, Najrana T, Nawaz M, Nazarenko I, Nejsum P, Neri C, Neri T, Nieuwland R, Nimrichter L, Nolan JP, Nolte-'t Hoen EN, Noren Hooten N, O'Driscoll L, O'Grady T, O'Loghlen A, Ochiya T, Olivier M, Ortiz A, Ortiz LA, Osteikoetxea X, Østergaard O, Ostrowski M, Park J, Pegtel DM, Peinado H, Perut F, Pfaffl MW, Phinney DG, Pieters BC, Pink RC, Pisetsky DS, Pogge von Strandmann E, Polakovicova I, Poon IK, Powell BH, Prada I, Pulliam L, Quesenberry P, Radeghieri A, Raffai RL, Raimondo S, Rak J, Ramirez MI, Raposo G, Rayyan MS, Regev-Rudzki N, Ricklefs FL, Robbins PD, Roberts DD, Rodrigues SC, Rohde E, Rome S, Rouschop KM, Rughetti A, Russell AE, Saá P, Sahoo S, Salas-Huenuleo E, Sánchez C, Saugstad JA, Saul MJ, Schiffelers RM, Schneider R, Schøyen TH, Scott A, Shahaj E, Sharma S, Shatnyeva O, Shekari F, Shelke GV, Shetty AK, Shiba K, Siljander PR, Silva AM, Skowronek A, Snyder OL 2nd, Soares RP, Sódar BW, Soekmadji C, Sotillo J, Stahl PD, Stoorvogel W, Stott SL, Strasser EF, Swift S, Tahara H, Tewari M, Timms K, Tiwari S, Tixeira R, Tkach M, Toh WS, Tomasini R, Torrecilhas AC, Tosar JP, Toxavidis V, Urbanelli L, Vader P, van Balkom BW, van der Grein SG, Van Deun J, van Herwijnen MJ, Van Keuren-Jensen K, van Niel G, van Royen ME, van Wijnen AJ, Vasconcelos MH, Vechetti IJ Jr, Veit TD, Vella LJ, Velot É, Verweij FJ, Vestad B, Viñas JL, Visnovitz T, Vukman KV, Wahlgren J, Watson DC, Wauben MH, Weaver A, Webber JP, Weber V, Wehman AM, Weiss DJ, Welsh JA, Wendt S, Wheelock AM, Wiener Z, Witte L, Wolfram J, Xagorari A, Xander P, Xu J, Yan X, Yáñez-Mó M, Yin H, Yuana Y, Zappulli V, Zarubova J, Žėkas V, Zhang JY, Zhao Z, Zheng L, Zheutlin AR, Zickler AM, Zimmermann P, Zivkovic AM, Zocco D, and Zuba-Surma EK

Abstract

The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), a collective term covering various subtypes of cell-released, membranous structures, called exosomes, microvesicles, microparticles, ectosomes, oncosomes, apoptotic bodies, and many other names. However, specific issues arise when working with these entities, whose size and amount often make them difficult to obtain as relatively pure preparations, and to characterize properly. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles ("MISEV") guidelines for the field in 2014. We now update these "MISEV2014" guidelines based on evolution of the collective knowledge in the last four years. An important point to consider is that ascribing a specific function to EVs in general, or to subtypes of EVs, requires reporting of specific information beyond mere description of function in a crude, potentially contaminated, and heterogeneous preparation. For example, claims that exosomes are endowed with exquisite and specific activities remain difficult to support experimentally, given our still limited knowledge of their specific molecular machineries of biogenesis and release, as compared with other biophysically similar EVs. The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific EV-associated functional activities. Finally, a checklist is provided with summaries of key points.

Published
2018
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41. MyoVision: software for automated high-content analysis of skeletal muscle immunohistochemistry.

Author

Wen Y, Murach KA, Vechetti IJ Jr, Fry CS, Vickery C, Peterson CA, McCarthy JJ, and Campbell KS

Subjects
Animals, Mice, Immunohistochemistry, Muscle, Skeletal cytology, Software
Abstract

Analysis of skeletal muscle cross sections is an important experimental technique in muscle biology. Many aspects of immunohistochemistry and fluorescence microscopy can now be automated, but most image quantification techniques still require extensive human input, slowing progress and introducing the possibility of user bias. MyoVision is a new software package that was developed to overcome these limitations. The software improves upon previously reported automatic techniques and analyzes images without requiring significant human input and correction. When compared with data derived by manual quantification, MyoVision achieves an accuracy of ≥94% for basic measurements such as fiber number, fiber type distribution, fiber cross-sectional area, and myonuclear number. Scientists can download the software free from www.MyoVision.org and use it to automate the analysis of their own experimental data. This will improve the efficiency and consistency of the analysis of muscle cross sections and help to reduce the burden of routine image quantification in muscle biology. NEW & NOTEWORTHY Scientists currently analyze images of immunofluorescently labeled skeletal muscle using time-consuming techniques that require sustained human supervision. As well as being inefficient, these techniques can increase variability in studies that quantify morphological adaptations of skeletal muscle at the cellular level. MyoVision is new software that overcomes these limitations by performing high-content analysis of muscle cross sections with minimal manual input. It is open source and freely available.

Published
2018
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