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Article

Voluntary Wheel Running Mitigates Disease in an Orai1 Gain-of-Function Mouse Model of Tubular Aggregate Myopathy

1
Genetics and Genomics Graduate Program, Department of Biomedical Genetics, University of Rochester Medical Center, Rochester, NY 14642, USA
2
Department of Pharmacology and Physiology, University of Rochester Medical Center, Rochester, NY 14642, USA
3
Department of Biology, Biological Sciences, University of Rochester, Rochester, NY 14642, USA
4
Center for Advanced Studies and Technology (CAST), University G. d’Annunzio of Chieti-Pescara, I-66100 Chieti, Italy
5
Department of Medicine and Aging Sciences (DMSI), University G. d’Annunzio of Chieti-Pescara, I-66100 Chieti, Italy
*
Author to whom correspondence should be addressed.
Cells 2025, 14(17), 1383; https://doi.org/10.3390/cells14171383
Submission received: 9 June 2025 / Revised: 22 August 2025 / Accepted: 28 August 2025 / Published: 4 September 2025

Abstract

Tubular aggregate myopathy (TAM) is an inherited skeletal muscle disease associated with progressive muscle weakness, cramps, and myalgia. Tubular aggregates (TAs) are regular arrays of highly ordered and densely packed straight-tubules observed in muscle biopsies; the extensive presence of TAs represent a key histopathological hallmark of this disease in TAM patients. TAM is caused by gain-of-function mutations in proteins that coordinate store-operated Ca2+ entry (SOCE): STIM1 Ca2+ sensor proteins in the sarcoplasmic reticulum (SR) and Ca2+-permeable ORAI1 channels in the surface membrane. Here, we assessed the therapeutic potential of endurance exercise in the form of voluntary wheel running (VWR) in mitigating TAs and muscle weakness in Orai1G100S/+ (GS) mice harboring a gain-of-function mutation in the ORAI1 pore. Six months of VWR exercise significantly increased specific force production, upregulated biosynthetic and protein translation pathways, and normalized both mitochondrial protein expression and morphology in the soleus of GS mice. VWR also restored Ca2+ store content, reduced the incidence of TAs, and normalized pathways involving the formation of supramolecular complexes in fast twitch muscles of GS mice. In summary, sustained voluntary endurance exercise improved multiple skeletal muscle phenotypes observed in the GS mouse model of TAM.

1. Introduction

Calcium (Ca2+) is a universal second messenger that regulates a multitude of cellular processes in addition to its integral role in linking skeletal muscle excitation to force production. As a result, even minor disruptions in the proper control of Ca2+ storage, release, and reuptake can lead to profound effects on cellular stress levels, gene expression, and muscle performance. The sarcoplasmic reticulum (SR) serves as the main intracellular site for Ca2+ storage and release in skeletal muscle, dynamically regulating cytosolic Ca2+ concentrations that coordinate actin-myosin cross-bridge cycling and subsequently muscle force production [1]. Upon excitation of skeletal muscle, stored Ca2+ is released from the SR via depolarization-induced conformational changes in the dihydroypyridine receptor (DHPR) voltage sensor located in the transverse tubule membrane that is mechanically coupled to Ca2+ release channels, or ryanodine receptors (RyR1), in the terminal cisternae of the SR [2,3]. While Ca2+ entry through the DHPR does not significantly contribute to elevation in myoplasmic Ca2+ during EC coupling [4,5,6], SR Ca2+ store depletion during repetitive high-frequency stimulation activates Ca2+ entry via store-operated Ca2+ entry (SOCE) channels. As in non-excitable cells, SOCE in skeletal muscle is also coordinated by stromal interaction molecule 1 (STIM1) luminal SR Ca2+ sensor proteins and Ca2+ selective ORAI1 Ca2+ channels located in the transverse tubule membrane [7,8,9]. Proper SOCE, and subsequently proper STIM1 and ORAI1 function, play key roles in muscle development [8,10,11], fatigue resistance [9,12,13,14], and maintaining muscle function with age [15], in addition to playing key roles in various systemic processes [16,17,18]. N-terminal EF-hand domains of STIM1 typically bind luminal SR Ca2+ when stores are replete; store depletion causes conformational changes to STIM1, enabling oligomerization, relocalization to junctional SR closer in proximity to the plasma membrane and activation of the Ca2+-selective ORAI1 channel [19,20,21]. Mutations in STIM1 and ORAI1 are linked to a multitude of muscle-related disorders with varying levels of severity, age of onset, and multi-systemic involvement [17,22,23]. Recessive loss-of-function mutations that lead to a reduction in SOCE activity result in severe combined immunodeficiency, autoimmunity, ectodermal dysplasia, mydriasis, hypotonia and muscle weakness [24,25]. Conversely, dominant gain-of-function mutations in the SOCE machinery cause tubular aggregate myopathy (TAM) and Stormorken Syndrome, a clinical continuum characterized by myalgia, muscle cramps, and progressive muscle weakness in addition to thrombocytopenia, hyposplenism, ichthyosis, miosis, short stature, and dyslexia [18,26,27,28,29,30,31,32,33,34,35]. TAM-causing mutations lead to constitutive ORAI1 channel activation and excessive Ca2+ entry causing an increase in cytosolic Ca2+ concentration [26,27,31,33]. Currently, there is no cure or effective treatment for TAM, although preclinical pharmacologic [36,37] and genetic [38] inhibition of ORAI1 has shown limited promise.
A major hallmark of TAM is the presence of highly ordered and densely packed SR straight-tubes aligned in honeycomb-like structures, referred to as tubular aggregates (TAs). Importantly, TAs typically display fiber type preference, forming primarily in fast twitch, glycolytic type IIb/IIx fibers [26,39,40,41,42], and are more frequently observed in males [40,42]. Interestingly, TAs are also routinely observed in fast twitch skeletal muscle of aged (e.g., two-year-old) male, but not female, mice [39,40]. TAs contain large amounts of Ca2+ [41] and are of SR origin as they stain positively for STIM1 and other SR proteins including sarco/endoplasmic reticulum Ca2+-ATPase (SERCA), calsequestrin 1 (CASQ1), RYR1, triadin and sarcalumenin [26,29,40,43]. Recent findings identified novel variants in the CASQ1 and RYR1 genes in patients with TAM [44,45,46,47] suggesting that TAs may represent compensation designed to sequester Ca2+ resulting from defects in SR Ca2+ handling. Several recently generated gain-of-function STIM1 TAM mouse models (D84G, I115F, R304W) recapitulate key multi-systemic features of the disease but lack the key histopathological formation of TAs in skeletal muscle [18,48,49]. In contrast, we recently found that Orai1G100S/+ (GS) knock-in mice exhibit an age-dependent myopathy characterized by muscle weakness, elevated serum creatine kinase and robust presence of TAs in fast twitch muscles (extensor digitorum longus, EDL; flexor digitorum brevis, FDB; and tibialis anterior), which recapitulate key clinically relevant observations observed in TAM patients with analogous mutation in human ORAI1 (G98S) [26,43,50]. Additionally, Pérez-Guàrdia et al., recently developed Orai1V109M/+ (VM) knock-in mice that recapitulate several myopathic (muscle weakness, TA presence in the tibialis anterior) and systemic (smaller size, spleen enlargement, thrombocytopenia) effects observed in TAM patients with analogous mutation in human ORAI1 (V107M) [51]. Thus, GS and VM knock-in mice represent the first TAM mouse models that exhibit TAs [52].
While multifaceted, endurance exercise drives changes in skeletal muscle that ultimately lead to improved muscle function. Boncompagni et al. demonstrated that sustained voluntary endurance exercise in aging mice (voluntary wheel running, VWR) both restores SOCE function and prevents the formation of TAs that are typically observed in fast twitch EDL muscle of two-year-old male mice [53]. Consistent with these findings, sustained voluntary endurance exercise results in reduced expression of CASQ1, SERCA, and mitochondrial calcium uniporter (MCU), and increased expression of sarcolemmal Ca2+ export mechanisms (Na+/Ca2+ exchanger, NCX and plasma membrane Ca2+ ATPase, PMCA) [54]. A decrease in expression of CASQ1 and SERCA with exercise is consistent with the observed exercise-induced reduction in TAs observed in muscle of aged male mice. Decreased MCU expression with exercise would be expected to protect against mitochondrial Ca2+ overload and damage, in conjunction with increased extrusion of myoplasmic Ca2+ as a result of increased expression of PMCA and NCX. Thus, we hypothesize that sustained voluntary endurance exercise would provide similar beneficial adaptive changes in sarcolemmal, SR, and mitochondrial Ca2+ influx/efflux balance in muscle of GS TAM mice that protect against Ca2+ overload and formation of TAs that preserves muscle function. Additionally, we posit that exercise-induced increases in protein translation and turnover will aid in the degradation and replacement of damaged proteins and organelles that can occur in myopathic muscle [55,56].
The objective of this study was to characterize the impact of sustained voluntary endurance exercise on the TAM phenotype of GS knock-in mice. In sedentary GS mice, we observed impaired contractile function (both in EDL and soleus) that coincides with disrupted Ca2+ dynamics, TAs in fast twitch muscle (EDL), and ultrastructural changes in sarcomere/mitochondria (soleus). These changes paralleled distinct alterations in the EDL and soleus muscle proteomes. Six months of voluntary endurance exercise (VWR) significantly improved GS mouse soleus contractile function, reduced TAs in EDL muscles, and normalized the major changes observed in the EDL and soleus muscle proteomes.

2. Materials and Methods

2.1. Animals

This study was carried out in accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All procedures involving animals were approved by the Institutional Animal Care and Use Committee (IACUC) at the University of Rochester called the University Committee on Animal Resources (UCAR). OraiG100S/+ and Orai1V5HA/+ mice were generated by the University of Rochester Transgenic and Gene Editing Core Facility. To assess ORAI1 expression in skeletal muscle, Orai1V5HA/+ mice were crossed with Orai1G100S/+ mice to generate compound heterozygous Orai1G100S/V5HA mice. Adult C57BL/6J (two to eight months old, The Jackson Laboratory, Bar Harbor, ME, USA) mice and were singly housed with low-profile running wheels (see below for details) at eight weeks of age in accordance with an approved UCAR protocol. All data reported in this study were from terminal experiments conducted on eight-month-old male and female mice unless otherwise stated. All mice were maintained on a 12:12 light/dark cycle and provided ad libitum access to pelleted feed and standard drinking water (Hydropac, Avidity Science, Waterford, WI, USA).

2.2. Voluntary Wheel Running Exercise

Low profile wireless rodent wheels (ENV-047 wheels, Med Associates, Fairfax, VT, USA) were used in singly housed mouse cages to track voluntary running activity over a 6-month period (from two to eight months of age), with sedentary control animals being singly housed in cages with locked wheels that were unable to rotate. Wheels were connected to a wireless central hub that recorded total running activity using Wheel Manager software (SOF-860, Med Associates, Fairfax, VT, USA) and data analyzed using Wheel Analysis software (SOF-861, Med Associates, Fairfax, VT, USA) reported as total distance run per day (km/day). Terminal experiments were performed immediately after removing mice from cages with wheels. In order to reduce experimental variability, only mice with running activity that fell within the interquartile range were selected for further analyses.

2.3. Single FDB Fiber Isolation

All resting myoplasmic Ca2+, releasable SR Ca2+ store content, store-operated Ca2+ entry, constitutive Ca2+ entry, and electrically evoked Ca2+ transients studies were conducted using single, acutely dissociated flexor digitorum brevis (FDB) fibers, as previously described [57]. Briefly, FDB muscles were dissected from hind limb footpads and placed in Ringer’s solution (145 mM NaCl, 5 mM KCl, 2 mM CaCl2, 1 mM MgCl2, 10 mM HEPES, pH 7.4) supplemented with 1 mg/mL collagenase A (Roche Diagnostics, Indianapolis, IN, USA) while rocking gently at 37 °C for 1 h. Individual FDB fibers were then liberated on glass-bottom dishes by gentle trituration in Ringer’s solution using three sequentially increasing gauge glass pipettes. Fibers were then left undisturbed for at least 20 min to enable them to settle and stick to the bottom of the dish. Only healthy fibers with clear striations and no observable damage were used for experiments.

2.4. Resting Ca2+ Measurements

Resting free myoplasmic Ca2+ concentration was determined as previously described [57] Briefly, isolated FDB fibers were loaded with 4 µM fura-2 AM (Thermo Fisher, Carlsbad, CA, USA) in Ringer’s solution at room temperature (RT) for 30 min followed by a 30 min washout in dye-free Ringer’s solution. Fura-2 AM-loaded fibers were then placed on the stage of an inverted epifluorescence microscope (Nikon Instruments, Melville, NY, USA) and alternatively excited at 340 and 380 nm (20 ms exposure per wavelength, 2 × 2 binning) using a monochromator-based illumination system with fluorescence emission at 510 nm captured using a high-speed QE CCD camera (TILL Photonics, Graefelfing, Germany). 340/380 ratios from cytosolic areas of interest were calculated using TILL vision software (version 4.0), analyzed using ImageJ (version 1.54g, NIH) and converted to resting free Ca2+ concentrations using a fura-2 calibration curve approach described previously [58]. Biological replicates were plotted as the average of 2–12 technical replicates.

2.5. Measurements of Total Releasable Ca2+ Store Content

Total releasable Ca2+ store content was determined as previously described [57]. Briefly, FDB fibers were loaded with 5 µM fura-FF AM (AAT Bioquest, Sunnyvale, CA, USA), a low-affinity ratiometric Ca2+ dye, at RT for 30 min, followed by a 30 min washout in dye-free Ringer’s. Total releasable Ca2+ store content was calculated from the peak change in fura-FF ratio (ΔRatio340/380) upon application of a Ca2+ release cocktail (10 µM ionomycin, 30 µM cyclopiazonic acid, and 100 µM EGTA, referred to as ICE) in Ca2+-free Ringer’s solution. The peak change in fura-FF ratio was calculated using Clampfit 10.0 (Molecular Devices, Sunnyvale, CA, USA) and Microsoft Excel (version 16.99.2, Microsoft Corporation, Redmond, WA, USA). Biological replicates were plotted as the average of 2–7 technical replicates.

2.6. Measurements of Store-Operated and Constitutive Ca2+ Entry

Mn2+ quench experiments were used to quantify store-operated Ca2+ entry (SOCE, with store depletion) and constitutive Ca2+ entry (without store depletion) as previously described [57]. Briefly, FDB fibers were loaded with 5 μM fura-2 AM for 1 h at 37 °C in a Ca2+-free Ringer’s solution containing (in mM): 145 NaCl, 5 KCl, 1 MgCl2, 0.2 EGTA (pH 7.4). When measuring maximal SOCE activity, 1 μM thapsigargin and 15 μM cyclopiazonic acid (inhibitors of SERCA activity used to fully deplete SR Ca2+ stores), as well as 30 μM N-benzyl-p-toluene sulfonamide (BTS, a skeletal muscle myosin inhibitor to prevent movement artifacts [9] were included during fura-2 AM loading. In a second set of studies to assess constitutive Ca2+ entry, fibers were loaded with fura-2 AM and BTS in the absence of SERCA pump inhibitors. Both store-depleted and non-depleted fibers were then bathed in Ca2+-free Ringer’s and excited at 362 nm (isosbestic point of fura-2) while emission was detected at 510 nm using a DeltaRam illumination system (Photon Technologies Inc, Birmingham, NJ, USA). After obtaining an initial basal rate of fura-2 decay (Rbaseline), fibers were exposed to Ca2+-free Ringer’s supplemented with 0.5 mM MnCl2. The maximum rate of fura-2 quench in the presence of Mn2+ (Rmax) was determined from the peak differential of the fura-2 emission trace during Mn2+ application. The maximum rate of SOCE (RSOCE) was calculated as RSOCE = Rmax − Rbaseline and expressed as dF/dt in counts/s [9]. Biological replicates (i.e., mice) were plotted as the average of 10 technical (i.e., individual fiber) replicates.

2.7. Measurements of Electrically Evoked Ca2+ Transients

Electrically evoked myoplasmic Ca2+ transients were monitored in singly isolated FDB fibers as described previously [57,59]. Briefly, FDB fibers were loaded with 4 µM mag-fluo-4 for 20 min at RT followed by washout in dye-free solution supplemented with 25 µM BTS for 20 min. While continuously being perfused with a control Ringer’s solution supplemented with 25 μM BTS, fibers were stimulated with a series of 5 electrically evoked twitch (1 Hz) stimulations followed by a single high frequency (500 ms at 100 Hz) train of stimulations using an extracellular electrode placed adjacent to the fiber of interest. Mag-fluo-4 was excited at 480  ±  15 nm using an Excite epifluorescence illumination system (Nikon Instruments, Melville, NY, USA) and fluorescence emission at 535  ±  30 nm was monitored with a 40× oil objective and a photomultiplier detection system (Photon Technologies Inc., Birmingham, NJ, USA). Relative changes in mag-fluo-4 fluorescence from baseline (F/F0) were recorded using Clampex 9.0 software (Molecular Devices, San Jose, CA, USA). The maximum rate of electrically evoked Ca2+ release was approximated from the peak of the first derivative of the mag-fluo-4 fluorescence (dF/dt) during electrical stimulation. The decay phase of each transient was fitted according to the following second order exponential equation:
F(t) = Afast × [exp(−t/τfast)] + Aslow × [exp(−t/τslow)]
where F(t) is the fluorescence at time t, Afast and τfast are the amplitude and time constants of the fast component, respectively, and Aslow and τslow are the amplitude and time constants of the slow component, respectively. Biological replicates were plotted as an average of 2–9 technical replicates.

2.8. Ex Vivo Measurements of Muscle Contractile Function

Ex vivo assessment of muscle force production was made in intact excised EDL and soleus muscles attached to a servo motor and force transducer 1200 A (Aurora Scientific, Aurora, ON, Canada) and electrically stimulated using two platinum electrodes in a chamber continuously perfused with oxygenated Ringer’s solution at 30 °C as previously described [54,60,61,62]. Optimal stimulation and muscle length (L0) were determined using a series of 1 Hz twitch stimuli while stretching the muscle to a length that generated maximal force (F0). After establishing L0, muscles were equilibrated using three tetani (500 ms, 150 Hz) given at 1 min intervals and then subjected to a standard force frequency protocol (from 1 to 250 Hz). Muscle force was recorded using Dynamic Muscle Control software (version 5.500, Aurora Scientific, Aurora, ON, Canada) and analyzed using a combination of Dynamic Muscle Analysis (version 5.321, Aurora Scientific, Aurora, ON, Canada) and Clampfit 10.0 (Molecular Devices) software. Physiologic cross-sectional area (P-CSA) was calculated as:
P-CSA = (muscle weight [mg])/(1.056 × (0.44 or 0.71) × length [mm])
where 1.056 = muscle density [g/cm3], 0.44 = EDL angular factor, 0.71 = soleus angular factor [63].

2.9. Tissue Sectioning and Immunostaining

Muscles were removed, placed in 30% sucrose overnight at 4 °C, embedded in OCT (Tissue Tek, Sakura Finetek, Torrance, CA, USA), flash frozen using dry ice-cooled isopentane, stored at −80 °C and sectioned at 10 µm thickness. Prior to immunostaining, tissue sections were permeabilized with PBS-T (0.2% Triton-x-100 in PBS) for 10 min, blocked in 10% normal goat serum (NGS, Jackson ImmunoResearch, West Grove, PA, USA) for 30 min at RT, and then blocked in 3% AffiniPure Fab fragment goat anti-mouse (Jackson ImmunoResearch, West Grove, PA, USA)) with 2% NGS at RT for 1 h to decrease mouse antibody non-specific binding. Primary antibodies were applied in 2% NGS/PBS and then incubated for 2 h at RT or overnight at 4 °C followed by incubation with secondary antibody for 1 h at RT. All slides were mounted with Fluoromount-G (SouthernBiotech, Birmingham, AL, USA). Sections were imaged at 4× magnification on the Revolve (Echo, San Diego, CA, USA) microscope and analyzed using ImageJ (version 1.54g, NIH). Sample analyses were performed by investigators blinded to experimental group.

2.10. Antibodies

The following antibodies were used: rat anti-laminin-α2 (1:1500, L0663, Sigma-Aldrich, St. Louis, MO, USA), mouse anti-BA-D5 (MyHC-I, IgG2b, 1:40, Developmental Studies Hybridoma Bank (DSHB), Iowa City, IA, USA), mouse anti-SC-71 (MyHC-IIA, IgG1, 1:40, DSHB, Iowa City, IA, USA), mouse anti-BF-F3 (MyHC-IIB, IgM, 1:40, DSHB, Iowa City, IA, USA), mouse anti-Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) (1:50,000, AM4300, Thermo Fisher, Carlsbad, CA, USA), mouse anti-CASQ1 (1:5000, MA3-913, Affinity BioReagents, Golden, CO, USA), rabbit anti-pan SERCA (1:10,000, sc-30110, Santa Cruz Biotechnology, Dallas, TX, USA), rabbit anti-voltage-dependent anion channel (VDAC) (1:5000, AB10527, Thermo Fisher, Carlsbad, CA, USA), rabbit anti-STIM1 (1:3000, S6197, Sigma Aldrich, St. Louis, MO, USA), rat anti-HA (1:3000, ROAHAHA Sigma-Aldrich, St. Louis, MO, USA,), rabbit anti-OPA1 (1:1000, D6U6N, Cell Signaling Technology, Danvers, MA, USA), rabbit anti-COL1A1 (1:1000, AB765P, EMD Millipore, Burlington, MA, USA), rabbit anti-ACTN2 (1:2000, 14221-1-AP, Proteintech, Rosemont, IL, USA), rabbit anti-CYP2E1 (1:2000, H00001571-D01P, Thermo Fisher, Carlsbad, CA, USA), rabbit anti-PPIF (1:2000, 45-5900, Thermo Fisher, Carlsbad, CA, USA), Alexa Fluor 405-conjugated goat anti-mouse IgG2b (1:1500, A-21141, Thermo Fisher, Carlsbad, CA, USA), Alexa Fluor 488-conjugated goat anti-mouse IgM (1:1500, A-21042, Thermo Fisher, Carlsbad, CA, USA), Alexa Fluor 594-conjugated goat anti-mouse IgG1 (1:1500, A-21125, Thermo Fisher, Carlsbad, CA, USA), AlexaFluor 647-conjugated goat anti-rat IgG (1:1500, A-21247, Thermo Fisher, Carlsbad, CA, USA), goat anti-rabbit IRDye800 (1:10,000, LiCor, Lincoln, NE, USA), goat anti-mouse IRDye800 (1:10,000, LiCor, Lincoln, NE, USA), goat anti-mouse IRDye700 (1:10,000, LiCor, Lincoln, NE, USA), and donkey anti-rat IgG-horseradish peroxidase conjugate (1:10,000, Jackson ImmunoResearch, West Grove, PA, USA).

2.11. Proteomic Sample Preparation

Whole soleus and EDL muscles from male mice were flash-frozen in liquid nitrogen and stored at −80 °C until ready for use. Samples were homogenized in 250 µL of 5% SDS, 100 mM TEAB and sonicated (QSonica, Newtown, CT, USA) for 5 cycles with 1 min incubation on ice after each cycle. Samples were then centrifuged at 15,000× g for 5 min to collect the supernatant. A bicinchoninic (BCA) assay (Thermo Fisher, Carlsbad, CA, USA) was used for protein quantitation. Samples were diluted to 1 mg/mL in 5% SDS, 50 mM TEAB. 25 µg of protein from each sample was reduced with dithiothreitol (2 mM) and incubated at 55 °C for 1 h. Iodoacetamide (10 mM) was then added and samples were incubated at RT for 30 min in the dark to alkylate proteins. Phosphoric acid (1.2%) was added, followed by six volumes of 90% methanol, 100 mM TEAB. Samples were added to S-Trap micros (Protifi, Fairport, NY, USA), and centrifuged at 4000× g for 1 min. S-Traps were washed twice by centrifuging through 90% methanol, 100 mM TEAB. 20 µL of 100 mM TEAB with 1 µg trypsin added to the S-Trap, followed by an additional 20 µL of TEAB. Samples were incubated at 37 °C overnight. S-Traps were centrifuged at 4000× g for 1 min to collect the digested peptides. Sequential additions of 0.1% trifluoroacetic acid (TFA) in 50% acetonitrile were added to the S-trap, centrifuged, and pooled. Samples were frozen and dried in a Speed Vac (Labconco, Kansas City, MO, USA) and resuspended in 0.1% TFA prior to mass spectrometry analysis.

2.12. Mass Spectrometry

Peptides were injected onto 30 cm C18 columns with 1.8 μm beads (Sepax, Newark, DE, USA) on an Easy nLC-1200 HPLC (Thermo Fisher, Carlsbad, CA, USA) connected to a Fusion Lumos Tribrid mass spectrometer (Thermo Fisher, Carlsbad, CA, USA) operating in data-independent mode. Ions were introduced to the mass spectrometer using a Nanospray Flex source operating at 2 kV. The gradient proceeded as 3% solvent B (0.1% formic acid in 80% acetonitrile) for 2 min, 10% solvent B for 6 min, 38% solvent B for 65 min, 90% solvent B for 5 min, held for 3 min, returned to starting conditions for 2 min and re-equilibrated for 7 min. The full MS1 scan was conducted from 395–1005 m/z, with a resolution of 60,000 at m/z of 200, an AGC target of 4 × 105 and a maximum injection time of 50 ms. MS2 scans were performed by using higher energy dissociation with a staggered windowing scheme of 14 m/z with 7 m/z overlaps, with fragment ions analyzed in the Orbitrap with a resolution of 15,000, an automatic gain control (AGC) target of 4 × 105 and a maximum injection time of 23 ms.

2.13. Proteomic Data Analyses

Raw data was processed using DIA-NN version 1.8.1 (https://github.com/vdemichev/DiaNN, accessed on 1 July 2022) in library-free analysis mode [64]. Library annotation was conducted using the mouse UniProt ‘one protein sequence per gene’ database (UP000000589_10090) with deep learning-based spectra and RT prediction enabled. For precursor ion generation, the maximum number of missed cleavages was set to 1, maximum number of variable modifications set to 1 for Ox(M), peptide length range set to 7–30, precursor charge range set to 2–3, precursor m/z range set to 400–1000, and fragment m/z range set to 200–2000. Quantification was set to ‘Robust LC (high precision)’ mode with cross-run normalization set to RT-dependent, MBR enabled, protein inferences set to ‘Genes’, and ‘Heuristic protein inference’ turned off. MS1 and MS2 mass tolerance and scan window size were automatically set by the software. Precursors were subsequently filtered at library precursor q-value (1%), library protein group q-value (1%), and posterior error probability (50%). Protein quantification was carried out using the MaxLFQ algorithm implemented in the DIA-NN R package. Peptide number was quantified in each protein group and implemented in the DiannReportGenerator package (https://github.com/URMC-MSRL/DiannReportGenerator, accessed on 1 July 2022) [65]. Only significantly different (p < 0.05) proteins within the top three quartiles of mean peptide abundance were included in analysis. Individual group comparison pathway and network analyses were conducted using ShinyGO 0.77 (South Dakota State University, Brookings, SD, USA) [66,67,68]. The top ten identified pathways were extracted from Gene Ontology (GO) Biological Process, GO Cellular Component, and KEGG pathway databases. The false discovery rate (FDR) cutoff was set at 0.05 and pathways were sorted by −Log10(FDR). Volcano plots were generated using the web-based software VolcaNoseR [69]. Volcano plot significance thresholds were set at −Log10 > 1.3 and the Log2 fold change threshold was set to exclude values between −1 and 1. Pie charts and individual pathway heatmaps were generated using Microsoft Excel (version 16.99.2, Microsoft Corporation, Redmond, WA, USA).

2.14. Electron Microscopy and Histology

Intact EDL and soleus muscles were fixed at RT in 0.1 M sodium cacodylate (NaCaCO)-buffered 3.5% glutaraldehyde solution (pH 7.2) and processed as previously described [70,71,72]. Briefly, fixed muscles were post-fixed in 2% OsO4 for 1–2 h, rinsed with 0.1 M NaCaCO buffer, en bloc stained with saturated uranyl acetate replacement, and embedded for electron microscopy (EM) in epoxy resin (Epon 812). Semithin (700 nm) and ultrathin sections (~40 nm) were cut on a Leica Ultracut R microtome (Leica Microsystem, Austria) using a Diatome diamond knife (DiatomeLtd. CH-2501, Biel, Switzerland). For histological examination, 700 nm thick sections were stained in a solution containing 1% toludine blue O and 1% sodium tetraborate in ddH2O for 3 min on a hot plate at 55–60 °C. After washing and drying, sections were mounted with DPX mounting medium (Sigma Aldrich, St. Louis, MO, USA) for histology and observed with a Leica DMLB light microscope (Leica Microsystem, Vienna, Austria) connected to a Leica DFC450 camera equipped with Leica Application Suite v4.6 for Windows (Leica Microsystem, Vienna, Austria). For EM, ultrathin sections (~40 nm) were cut using a Leica Ultracut R microtome (Leica Microsystems, Vienna, Austria) with a Diatome diamond knife (Diatome, Biel, Switzerland) and double-stained with uranyl acetate replacement and lead citrate. Sections were viewed on a FP 505 Morgagni Series 268D electron microscope (FEI Company, Brno, Czech Republic), equipped with a Megaview III digital camera (Olympus Soft Imaging Solutions, Munster, Germany) and Soft Imaging System at 60 kV. For all quantitative EM analyses, micrographs of non-overlapping regions were randomly collected from transversal and longitudinal sections of internal areas of fibers. The percentage of fibers containing TAs, the number of TAs per fiber, and the average size of TAs (μm2) were evaluated in transversal sections of EDL muscles at low-medium magnification and were reported as an average per biological replicate. The total number of mitochondrial profiles, mitochondrial volume, and frequency of altered mitochondria were evaluated in longitudinal ultrathin sections of soleus muscles at 8900–14,000× magnification and reported as average number per 100 μm2. Mitochondria were classified as altered when: (a) the external membrane was disrupted, (b) internal cristae were severely vacuolated, and/or (c) contained myelin figures. The number of disordered myofibrils (i.e., presenting one or more sarcomeric unit with misalignment of the Z line with respect to the upper and lower myofibrils) was counted in micrographs taken from longitudinal sections of soleus muscles at 8900–14,000× magnification and reported as average number per 100 μm2.

2.15. Western Blot Analyses

EDL and soleus muscles were flash frozen in liquid nitrogen and stored at −80 °C until ready for use. Muscles were mechanically homogenized in RIPA lysis buffer (20 mM Tris-HCl pH 7.5, 150 mM NaCl, 1 mM Na2EDTA, 1 mM EGTA, 1% NP-40, 1% sodium deoxycholate, 1 mM Na3VO4, 10 mM NaF) supplemented with Halt protease inhibitor, as recommended by the manufacturer. Samples were centrifuged at 13,000× g for 30 min; supernatants were retained and protein concentration was determined using the Bio-Rad DC assay (500-0116). A total of 5 µg of total protein was separated on 12% sodium dodecyl sulfate-polyacrylamide gel electrophoresis and transferred to a nitrocellulose membrane. Membranes were briefly stained with a 0.1% Ponceau S solution (Sigma Aldrich, St. Louis, MO, USA, P3504) to ensure equal protein loading and for normalization of target protein expression. Membranes were blocked in non-fat dry milk (1–5%) or bovine serum albumin (3%)-supplemented TBS-T (20 mM Tris, 150 mM NaCl, 0.1% Tween 20, pH 7.4) for 1 h and probed overnight at 4 °C while shaking with primary antibodies diluted in TBS-T. Membranes were washed 3x in TBS-T and secondary antibodies were applied, diluted in TBS-T supplemented with 1–5% non-fat dry milk for 1 h at RT while shaking. Blots were imaged on a LI-COR Odyssey (LI-COR Biosciences, Lincoln, NE, USA) gel imaging system or KwikQuant Pro Imager (Kindle Biosciences, Greenwich, CT, USA) with band intensity quantified using Image Studio Lite (LI-COR Biosciences, Lincoln, NE, USA). For HA blot quantitation, membranes were incubated for 2 min RT shaking in KwikQuant Ultra HRP Substrate Solution A and B (1:1), diluted 1:5 in ddH2O before imaging for 1–240 s exposure time.

2.16. Statistical Analyses

All statistical calculations were performed using GraphPad Prism 9 software. Statistical significance was determined through Student’s t-tests with Welch’s corrections (unpaired, two-tailed, 95% confidence interval) or ANOVA (two-way, followed by Tukey multiple comparisons test), where p < 0.05 was considered statistically significant (*/#/&/$ p < 0.05, **/##/&&/$$ p < 0.01, ***/###/&&&/$$$ p < 0.001, ****/####/&&&&/$$$$ p < 0.0001). Isolated */#/&/$ represent ANOVA group effects or interaction of variables. Error bars are represented as +/− standard error of the mean (S.E.M.).

3. Results

3.1. WT and GS Mice Display Similar Voluntary Wheel Running Activity and Body Mass Change Following Six Months of Voluntary Wheel Running

Humans harboring the ORAIG98S/+ mutation typically experience a slowly progressive myopathy with onset of symptoms commonly reported in childhood [26,43]. Zhao et al. showed that myotubes and FDB fibers from young (≤five weeks old) Orai1G100S/+ (GS) mice exhibit increased constitutive Ca2+ entry in the absence of TAs, whereas FDB fibers from eight-month-old adult GS mice display TAs but lack both constitutive and store-operated Ca2+ entry [50]. Since sustained VWR (from 9–24 months of age) restored SOCE and reduced the development of TAs in aged WT male mice [53], we singly housed WT and GS mice in cages with either free-spinning (VWR) or locked (sedentary control) wheels from two to eight months of age (Figure 1A). While myalgia and exercise-induced cramps are associated with the presence of TAs [73,74,75,76], average daily running activity was not significantly different between eight-month-old WT and GS mice (Figure 1B). At two months of age prior to VWR, no difference in body mass was observed between WT and GS mice (Figure 1C). However, at eight months of age, GS mouse body mass was significantly lower than age-matched WT mice both with and without VWR (Figure 1D). Furthermore, VWR from two to eight months of age significantly reduced body mass gain irrespective of genotype (Figure 1E).

3.2. Voluntary Wheel Running Normalizes Total Releasable Ca2+ Store Content in the Absence of Restoration of Store-Operated Ca2+ Entry in FDB Fibers from GS Mice

Myotubes derived from TAM patients exhibit increased Ca2+ entry and elevated releasable Ca2+ store content [17,26,27,29,41,43]. However, FDB fibers from GS mice exhibit increased constitutive Ca2+ entry only early in development (≤five weeks of age) and SOCE is reduced across all ages tested (myotubes–18 months of age) [50]. While no differences in resting myoplasmic Ca2+ concentration were observed in the current study between any of the four cohorts at eight months of age (Figure 2A), total releasable Ca2+ store content was increased in FDB fibers from sedentary GS mice compared to that of sedentary WT mice and this difference was normalized to that of fibers from WT mice following VWR (Figure 2B). As sustained VWR was shown previously to both restore SOCE and reduce TAs in aged male mice [57], we assessed the impact of sustained voluntary endurance exercise on constitutive/store-operated Ca2+ entry. Following six months of VWR (two to eight months of age), constitutive and store-operated Ca2+ entry was quantified in FDB fibers from eight-month-old WT and GS mice using Mn2+ quench of fura-2 fluorescence as a surrogate measure of divalent cation entry. While SOCE was significantly increased in WT mice after six months of VWR, SOCE remained similarly reduced in FDB fibers isolated from both sedentary and VWR GS mice (Figure 2C,D). Similarly, constitutive Ca2+ entry was significantly increased following VWR in FDB fibers from WT mice, but not GS mice (Figure 2E,F). Consistent with reduced constitutive and store-operated Ca2+ entry in eight-month-old GS mice, ORAI1 expression was significantly reduced in both soleus (Supplementary Figure S1A,D) and, to a greater extent, EDL (Supplementary Figure S2A,D) muscle of GS mice. Consistent with the selective increase in SOCE in FDB fibers from WT mice following sustained voluntary endurance exercise, STIM1 expression was significantly increased in EDL (Supplementary Figure S2A,E), but not soleus (Supplementary Figure S1A,E), muscle following six months of VWR.
The magnitude and kinetics of electrically evoked Ca2+ transients were assessed using the rapid, low-affinity Ca2+ dye mag-fluo-4. Peak electrically evoked Ca2+ release during a single twitch stimulation was significantly reduced in FDB fibers from GS mice following six months of VWR compared to that observed for fibers from either sedentary GS mice or WT mice following VWR (Supplementary Figure S3A). Although six months of VWR prolonged the slow component (τslow) of Ca2+ transient decay, which primarily reflects the rate of SERCA-mediated SR Ca2+ reuptake (Supplementary Figure S3F) and is consistent with the reduced expression of SERCA in EDL muscle from both WT and GS exercised mice (Supplementary Figure S2A,B), all other kinetic parameters of Ca2+ transient increase and decay were not significantly different across the four experimental cohorts (Supplementary Figure S3).

3.3. Voluntary Wheel Running Improves Ex Vivo Contractile Function of Soleus Muscles from GS and WT Mice

Both TAM patients and TAM mouse models display progressive muscle weakness [17,18,22,23,26,28,29,32,43,48,77]. Thus, we assessed EDL and soleus muscle mass and ex vivo contractile function. Raw EDL mass was not different between sedentary WT and GS mice nor was it significantly altered for either genotype following six months of VWR (Figure 3A). However, VWR did result in a modest increase in GS EDL muscle mass normalized as a proportion of total body mass (Figure 3B), presumably due to the reduced body mass observed in these mice following VWR (Figure 1E). Absolute force elicited via maximal ex vivo stimulation was significantly reduced in EDL muscles from sedentary GS mice compared to that of sedentary WT mice, with a significant genotype group effect observed regardless of exercise (Figure 3C,D). EDL specific force was similarly reduced in GS mice compared to that of WT mice regardless of exercise (Figure 3E,F). The maximal rates of EDL force production (Figure 3G) and relaxation (Figure 3H) were also significantly reduced in GS mice, as reflected in a significant group effect of genotype. EDL muscles from GS mice exhibited a modest, but significant, reduction in type IIb fibers and a corresponding increase in type IIx fibers (Supplementary Figure S4A,C). Average EDL fiber size was unaltered for all fiber types across all four conditions (Supplementary Figure S4E).
In the soleus, significant group effects of genotype (GS reduced compared to WT) and VWR (exercise increased compared to sedentary) were observed for raw muscle mass (Figure 3I). Normalized soleus mass (as a proportion of total body mass) was significantly increased in both WT and GS mice following VWR (Figure 3J). Importantly, absolute (Figure 3K,L) and specific (Figure 3M, N) force were significantly increased in soleus muscles from GS mice following six months of VWR. In fact, a group effect of VWR on absolute and specific force was observed regardless of genotype. Moreover, maximal rates of soleus force production (Figure 3O) and relaxation (Figure 3P) were significantly increased following VWR with a greater proportional rescue of relaxation rate observed for GS mice following VWR. Despite this effect of VWR on accelerating the rate of soleus contractile force generation/relaxation, the proportion of fast type IIb and IIx fibers was reduced (Supplementary Figure S4B,D) and type IIa fiber cross-sectional area (CSA) was increased (Supplementary Figure S4F) in GS mice following VWR.

3.4. Voluntary Wheel Running Reduces the Number of Structurally Altered Mitochondria and Improves the Alignment of Sarcomeres in Soleus Muscle of GS Mice

Conditions exhibiting impaired intracellular Ca2+ regulation in skeletal muscle often display a mitochondrial phenotype, as mitochondrial function is regulated by mitochondrial Ca2+ uptake and accumulation [78,79]. Slow twitch oxidative muscle (i.e., soleus) relies heavily on proper mitochondrial function for its energetic demands, as slow twitch muscle is comprised primarily of mitochondria-rich type I and type IIa fibers (Supplementary Figures S4 and S5). Thus, soleus muscles from sedentary and VWR, WT and GS mice were fixed for histological and electron microscopic analyses (Figure 4A–F). Mitochondrial density and volume were similar in soleus muscles across all cohorts (Figure 4G,H). Consistent with this, VDAC expression was not significantly different between soleus muscles from sedentary and VWR, GS or WT mice (Supplementary Figure S1A,B). However, the percentage of structurally altered mitochondria (identified as containing either disrupted external membranes, severely vacuolated internal cristae, and/or containing myelin figures) was significantly higher in sedentary GS mice compared to sedentary WT mice, while GS VWR mice displayed no significant difference compared to WT Sed mice (Figure 4I). Interestingly, OPA1, a protein involved in inner mitochondrial membrane fusion, cristae organization, and SR-mitochondrial Ca2+ signaling [80], was upregulated in soleus muscle of both WT and GS mice following VWR (Supplementary Figure S1A,C). Additionally, soleus sarcomere misalignment was more prevalent in sedentary GS mice compared to sedentary WT mice, while no significant difference was observed between sedentary WT mice and GS mice following VWR (Figure 4J).

3.5. Alterations in the Soleus Muscle Proteome from GS Mice Are Normalized Following Voluntary Wheel Running

Proteomic analyses were conducted to provide a comprehensive assessment of the proteins and pathways that are altered in the soleus and EDL muscles of sedentary eight-month-old WT mice. These studies revealed 1270 significantly altered proteins between the two groups (Supplementary Figure S5A,B). As expected, significantly altered pathways included metabolism, mitochondria, and pathways encompassing muscle fiber type (myofibril, contractile fiber), as was expected (Supplementary Figure S5).
Comparative proteomic studies were also conducted on soleus muscles from 8-month-old sedentary WT and GS mice. A total of 149 proteins (out of 2124 proteins) were either significantly upregulated (81 proteins) or downregulated (68 proteins) in soleus muscle of eight-month-old sedentary GS mice compared to that of age-matched sedentary WT mice (Figure 5A,B). In contrast, only 96 proteins (18 upregulated and 78 downregulated), were significantly altered in the soleus muscle of GS mice following six months of VWR, as compared to WT VWR samples (Figure 5E,F). The proteomics results in soleus muscles from sedentary eight-month-old WT and GS mice were validated by quantitative Western blot analyses. These studies confirmed changes in proteins identified by proteomic analysis to be significantly upregulated (CYP2E1) and downregulated (PPIF) in soleus muscle of GS mice (Supplementary Figure S6). Further, VDAC and STIM1 proteins identified as being unchanged by proteomic analysis of soleus muscle were also confirmed as being unaltered by Western blot analysis (Supplementary Figure S1).
Interestingly, all but two of the significantly upregulated proteins and two of the significantly downregulated proteins observed in soleus muscle of sedentary GS mice were corrected after VWR. This correction of an altered soleus muscle proteome is reflected in the narrowing of the volcano plot of all identified proteins following six months of VWR (compare Figure 5B,F). GO Cellular process, GO Biological process, and KEGG pathway and network analyses were conducted to identify key disease hallmarks in soleus muscle of GS mice and mitigation with sustained voluntary endurance exercise (Supplementary Figure S7C–H). The top 10 GO Cellular process terms involved changes in mitochondria, intracellular organelles, and myofibrils (Figure 5C). Network analysis of these terms revealed a tight system of interactions between these pathways (Figure 5D). While “Mitochondrion” was the most significantly altered Cellular process identified in soleus muscles of both sedentary and VWR GS and WT mice, most of the other GO Cellular process terms identified in soleus of sedentary GS mice were absent after VWR (Figure 5G). In addition, the tight mitochondrial/organelle/myofibril network of proteins observed in soleus muscle of sedentary GS mice was disrupted following six months of VWR (compare Figure 5D,H). Importantly, assessment of all 158 proteins within the Mitochondrion GO Cellular process term identified under both sedentary and VWR conditions revealed a normalization of most up- and down-regulated proteins following six months of VWR (compare heat maps in Figure 5I and Supplementary Figure S8). In agreement with mitochondrial alterations being a major point of convergence for pathology and prevention, the top identified Biological and KEGG pathways between soleus muscle of sedentary GS and WT mice centered around alterations in fatty acid and aerobic metabolism (Supplementary Figure S7E–H). Following six months of VWR, pathways associated with protein translation and biosynthetic processes were among the top altered pathways identified between both genotypes (Supplementary Figure S7M,N) and within the same genotype (Supplementary Figure S9).

3.6. Voluntary Wheel Running Reduces TA Prevalence and Size in EDL Muscles of GS Mice

As mentioned previously, TAs are more frequently observed in type II glycolytic fibers of fast twitch muscle in both humans with TAM and aged male mice that develop TAs spontaneously [39,40,42,81]. While studies in patients with TAM are lacking, we demonstrated that sustained voluntary endurance exercise greatly reduced TA formation in aged male mice [53]. Thus, we determined the impact of sustained voluntary endurance exercise (six months of VWR) on the prevalence of TAs observed in fast twitch EDL muscle of eight-month-old GS mice (Figure 6A–C). We found that EDL muscle from sedentary GS mice exhibited an increased percentage of fibers with TAs that was significantly reduced following six months of VWR (Figure 6D). In addition, the number of TAs per fiber and average TA size were both significantly higher in EDL muscles from sedentary GS mice compared to age-matched WT mice, while neither metric significantly differed between sedentary WT mice and GS mice after six months of VWR (Figure 6E,F). Several previous studies demonstrated that TAs are positive for SR markers, including CASQ1 and SERCA [26,29,39,40,43]. Furthermore, it is theorized that the highly ordered arrangement of TAs observed in aged male mice is in part due to “polymerization of SERCA into a semicrystalline arrangement” [39]. Consistent with the observed reduction in TAs following VWR (Figure 6), SERCA and CASQ1 expression were both significantly reduced in EDL muscle from GS VWR mice compared to GS sedentary mice (Supplementary Figure S2A–C).

3.7. The EDL Proteome from GS and Exercised Mice Is Significantly Altered and Converges on Pathways of Fiber Contractility and Supramolecular Complex Formation

Proteomic analyses were also conducted in EDL muscles from eight-month-old GS and WT mice under either sedentary or VWR conditions for six months. A total of 280 proteins (out of 1935 proteins) were either significantly upregulated (176 proteins) or downregulated (104 proteins) in EDL muscle of eight-month-old sedentary GS mice compared to that of age-matched sedentary WT mice (Figure 7A,B). The top 10 GO Cellular processes identified to be altered in EDL muscle of sedentary GS mice were primarily related to contractile fiber/myofibril/sarcomere and supramolecular complex/polymer/fiber pathways (Figure 7C), with a highly interconnected network between these pathways (Figure 7C,D). Interestingly, pathways implicating alterations in muscle innervation (e.g., synapse and myelin sheath) were also identified, though these pathways were outside the tight myofibril/supramolecular complex pathway network. Furthermore, KEGG pathway analysis of EDL muscles from eight-month-old sedentary GS and WT mice were consistent with changes observed in several disorders related to protein processing and neurodegeneration including Prion disease, Alzheimer disease, and Parkinson disease (Supplementary Figure S10G,H). Proteomics results in EDL muscles from sedentary eight-month-old WT and GS mice were also validated by quantitative Western blot analyses. These studies confirmed changes in proteins identified by proteomic analysis to be significantly upregulated (ACTN2) or downregulated (COL1A1) in EDL muscle of sedentary eight-month-old GS mice compared to age-matched WT mice (Supplementary Figure S6). In addition, CASQ1 was confirmed by both proteomic and Western blot analyses to be significantly reduced following VWR in EDL muscle from GS mice (Supplementary Figure S2).
Unlike proteomic analyses of soleus muscles, the comparison between EDL muscle of WT and GS mice following six months of VWR revealed over twice the number of significantly altered proteins compared to that observed under sedentary conditions. Specifically, a total of 573 proteins (125 downregulated and 448 upregulated) were significantly altered in the EDL muscle of GS mice following six months of VWR (Figure 7E). Consistent with the lack of a statistically significant rescue of EDL contractile force production (Figure 3F), both contractile fiber and myofibril Cellular process pathways remained significantly altered in EDL muscles of GS mice after six months of VWR (Figure 7G,H). Interestingly, while changes in mitochondrial/organelle related pathways were not identified in EDL muscles of sedentary GS mice (Figure 7C), these pathways represented the top five terms found to be significantly altered in EDL muscles of GS mice compared to that of WT mice after six months of VWR (Figure 7G,H, Supplementary Figure S12B) and were not identified in any of the other EDL comparisons (Supplementary Figures S10 and S11). Importantly, supramolecular complex/polymer/fiber pathways were no longer identified as an altered GO Cellular process in EDL muscles from GS mice after VWR (Figure 7G,H). This observation is consistent with the reduction in TA prevalence observed in EDL muscles of eight-month-old GS mice following sustained voluntary endurance exercise (Figure 6). Additionally, cellular protein/macromolecule localization processes were within the top altered GO Biological pathways in EDL muscles from sedentary GS mice, which are interconnected with pathways involved in regulating intracellular transport (Supplementary Figure S10E,F). Top GO Biological processes identified when comparing EDL muscles from GS and WT mice after VWR include energy derivation by oxidation of organic compounds, oxidative phosphorylation, cellular/aerobic respiration, and cellular protein-containing complex assembly (Supplementary Figure S10M,N). Overall, proteomic results from EDL muscles of sedentary and VWR, WT and GS mice (Figure 7, Supplementary Figures S10–S12) support the notion that proteins involved in intracellular organelles and supramolecular complexes contribute to the formation of TAs and that sustained voluntary endurance exercise reduces TA prevalence in part by mitigating these effects.

4. Discussion

In the present manuscript we tested the impact of sustained voluntary endurance exercise (six months of VWR) on the skeletal muscle phenotype of Orai1G100S/+ mice. Zhao et al. found that eight-month-old GS mice exhibit several key hallmarks of TAM in humans with the analogous G98S mutation in ORAI1 including progressive muscle weakness, elevated levels of serum creatine kinase, exercise intolerance and the histological presence of TAs in skeletal muscle fibers [50]. Importantly, we found a beneficial effect of six months of endurance exercise in reducing TAs in the fast twitch EDL muscle (Figure 6D–F), as well as improving contractile function (Figure 3K–P), limiting mitochondrial structural alterations, and preventing sarcomere misalignment (Figure 4I,J) in soleus muscle.
Individuals with TAM commonly experience exercise intolerance [28,29]. Consistent with this, eight-month-old GS mice exhibited more rests during forced treadmill running and falls during forced rotarod exercise [50], but no significant difference in average VWR activity was observed between WT and GS mice (Figure 1B). The reason for this apparent difference is not entirely clear but may reflect the lower overall body mass of GS mice (Figure 1D), the type of activity involved (forced acute fatiguing exercise paradigms versus voluntary endurance exercise), or the fact that VWR was initiated in mice at an earlier age (two months) while acute treadmill/rotarod challenges were initiated at older ages (i.e., at eight months of age) [13,82].
SOCE plays a key role in regulating multiple key skeletal muscle processes including muscle development [8,10,11] and fatigue resistance [9,12,13,14]. Conversely, disruptions in SOCE activity contribute to a wide range of muscle disease pathology and dysfunction including muscular dystrophy [82,83,84,85,86] and dynapenia [15,87,88]. One hour of acute treadmill exercise increases STIM1-ORAI1 co-localization, as well as both constitutive and store-operated Ca2+ entry through the formation of Ca2+ entry units within the I band region of the sarcomere that consist of junctions formed by transverse tubule extensions that interact with flat/parallel stacks of SR cisternae [57,89]. Similarly, we observed an increase in constitutive and store-operated Ca2+ entry (Figure 2B,D) in FDB fibers of WT mice after six months of VWR. However, no such increase in either constitutive or store-operated Ca2+ entry was observed in FDB fibers from GS mice after six months of VWR. The precise mechanism for why ORAI1 function was not enhanced in GS mice after sustained voluntary endurance exercise as is observed in WT mice is unclear but appears to be due at least in part to markedly reduced ORAI1 expression in skeletal muscle of GS mice under both sedentary conditions and after six months of VWR (Supplementary Figures S1D and S2D). Nevertheless, our findings are consistent with prior results [53] that found sustained voluntary endurance exercise protected against age-related skeletal muscle decline by enhancing SOCE, at least in the absence of TAM.
Since TAM disproportionately impacts fast twitch fibers [26,43,47,81,90], the identification of TAs in EDL, but not soleus, muscle fibers is not surprising. However, while TAM patients often present with type I fiber predominance and type II fiber hypotrophy/atrophy [26,27,30,43,90], this was not observed in eight-month-old GS mice. Despite robust mitigation of TA prevalence in the EDL muscle following six months of VWR, the functional deficit in EDL maximal specific force production was not increased with sustained VWR exercise. VWR typically promotes fiber type transitions from type IIb and IIx fibers toward more oxidative type IIa fibers [54,91,92]. In the soleus, we indeed observed an exercise-dependent reduction in type IIb and IIx fibers and parallel increase in type IIa fiber CSA (Supplementary Figure S4D,F). In the EDL, we observed a modest increase in type IIx fibers following six months of VWR (Supplementary Figure S4C). Regardless, given the structural (e.g., TAs) and functional (e.g., specific force deficit) impact of the G98S TAM mutation in ORAI1 on skeletal muscle, treatment in humans may best be addressed through a combination of endurance exercise in conjunction with resistance exercise or high-intensity interval training that are better suited to increase muscle hypertrophy and strength, particularly in type II fibers [93,94,95,96,97]. Also, our study highlights the possibility that interventional exercise may be most effective if implemented earlier in life before TAs are formed. Since exercise intolerance is a common symptom of TAM, future investigation of the effectiveness of exerkines, or ‘exercise-in-a-pill,’ in TAM is warranted.
The mitigation of TAs in the EDLs of GS mice with six months of VWR is robust and strikingly similar to the protection against age-associated TA formation in the EDLs of male mice following 15 months of VWR [53]. We further found that sustained VWR activity normalized both enhanced SERCA/CASQ1 expression (Supplementary Figure S2A–C) and total releasable Ca2+ store content (Figure 2F) observed in skeletal muscle from sedentary GS mice. These findings support prior proposals that TAs serve as a reservoir to sequester excess Ca2+ from the myoplasm to protect fibers from the deleterious effects of high concentrations of myoplasmic Ca2+ (Figure 2E) [17,26,29,40,41].
The improvement of soleus muscle function in both WT and GS mice after six months of VWR highlights a key central adaptation of skeletal muscle to endurance exercise: improved mitochondrial function/dynamics. Similarly to observations in different contexts of skeletal muscle decline such as myotonic dystrophy type 1 [98] and juvenile irradiation [54], prolonged endurance exercise improves muscle function in part due to favorable mitochondrial adaptations despite mitochondrial disruption not always being the primary mechanism driving muscle dysfunction. However, we previously reported proteomic alterations in mitochondrial pathways and significantly reduced mitochondrial function in skeletal muscle of GS mice [50], which we further confirmed in this study. An important distinction elucidated from this study is that a change in mitochondrial content could not explain the favorable exercise-induced mitochondrial adaptations observed in soleus muscle of GS mice (Figure 4G, H, Supplementary Figure S1B). Alternatively, we found that prolonged endurance exercise reduced the percentage of structurally altered mitochondria (Figure 4I), increased OPA1 expression (Supplementary Figure S1C), and normalized proteins within the Mitochondrion GO Cellular process (Figure 5I, Supplementary Figure S8). Together, these changes indicate that six months of VWR improves mitochondrial quality and function in the absence of a change in overall mitochondrial content (Figure 3I–P).
While the findings in this study highlight key pathways and networks altered in muscle of GS mice that are likely to contribute to disease pathology, future studies are needed to build upon these findings and identify specific protein changes responsible for TAs and mitochondrial dysfunction, and to directly assess the impact of endurance training on mitochondrial function in skeletal muscle of GS mice. Another unaddressed aspect in this study of the myopathy in GS mice is the potential contribution of altered innervation and disruptions of the neuromuscular junction. Interestingly, several of the top altered pathways identified in the proteomic analyses of EDL muscles from sedentary WT and GS mice include neuron-related processes such as synapse, myelin sheath, and pathways involving neurodegeneration and neurodegenerative diseases (Supplementary Figure S10).
It is known that males display more pronounced TAM symptoms as compared to females; however, females are also impacted by the disease. Thus, we included female mice in our analyses. Future studies would benefit from larger experimental cohorts in order to address sex-specific differences in disease pathology and benefit from exercise. Additionally, it will be of interest for future studies to determine whether GS mice exhibit some of the multisystemic aspects of Stormorken syndrome such as miosis, hyposplenism, ichthyosis, dyslexia, and thrombocytopenia as well as if prolonged endurance exercise is able to mitigate these features. Though GS mice exhibit normal levels of platelets and do not exhibit excess bleeding [50], VM mice exhibit these phenotypes, and thus, could be used to address this question.

5. Conclusions

In conclusion, our findings suggest that formation of TAs may be the result of reduced muscle activity. We provide evidence for the mitigation of TAs and muscle weakness with sustained voluntary endurance exercise and potential mechanistic avenues for future investigation that may contribute to TA formation/mitigation (proteins involved in the formation of supramolecular complexes) and muscle dysfunction (proteins involved in controlling mitochondrial function) in TAM.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cells14171383/s1, Figure S1: Western blot analysis of whole soleus muscle lysate from WT and GS, Sed and VWR mice; Figure S2: Western blot analysis of whole EDL muscle lysate from WT and GS, Sed and VWR mice; Figure S3: Quantification of Ca2+ transients from isolated FDB fibers; Figure S4: EDL (left) and soleus (right) muscle fiber type analysis; Figure S5: EDL and soleus proteomic analysis from WT Sed (left) and VWR (right) mice; Figure S6: Quantitative Western blot validation of key protein changes in EDL and soleus muscle of sedentary GS mice. Figure S7: Expanded soleus proteomic analysis of WT and GS, Sed (left) and VWR (right) mice from Figure 5; Figure S8: Soleus proteome Mitochondrion pathway analysis; Figure S9: Soleus proteomic analysis of WT (left) and GS (right), Sed and VWR mice; Figure S10: Expanded EDL proteomic analysis of WT and GS, Sed (left) and VWR (right) mice from Figure 7; Figure S11: EDL proteomic analysis of WT (left) and GS (right), Sed and VWR mice; Figure S12: EDL proteome Supramolecular complex and Mitochondrion pathway analysis.

Author Contributions

Conceptualization, T.N.O., N.Z., L.P., F.P. and R.T.D.; formal analysis, investigation, and data curation, T.N.O., N.Z., H.M.O., M.H., L.G., L.P., A.B., J.L., C.L., S.M. and Z.M.; writing—original draft preparation, T.N.O., L.P., F.P. and R.T.D.; writing—review and editing, T.N.O. and R.T.D.; supervision, T.N.O. and R.T.D.; project administration, T.N.O. and R.T.D.; funding acquisition, R.T.D. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the following: (a) NIH grants AR086382 and MDA 956014 to R.T.D.; and (b) Telethon ONLUS Grant GGP19231 to F.P.

Institutional Review Board Statement

All mouse experiments were conducted in accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All procedures involving animals were approved by the Institutional Animal Care and Use Committee (IACUC) at the University of Rochester called the University Committee on Animal Resources (UCAR) under UCAR protocol number UCAR-2006-114E approved on 8 May 2024. The authors of this manuscript certify that they comply with the ethical guidelines for authorship and publishing in the journal Cells.

Informed Consent Statement

Not applicable.

Data Availability Statement

All proteomic datasets will be deposited in the centralized PRIDE (ProteomicsIDEntifications) database. All other datasets in the current study are available from the corresponding author upon request.

Acknowledgments

We would like to acknowledge the UR Genomics Core for their aid in the development of the Orai1G100S/+ TAM mouse model. We would also like to acknowledge the URMC Mass Spectrometry Resource Laboratory for their assistance with collection and analysis of the proteomic data.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ATPAdenosine triphosphate
BTSN-benzyl-p-toluene sulfonamide
CASQ1Calsequestrin 1
CSACross-sectional area
EDLExtensor digitorum longus muscle
EMElectron microscopy
EREndoplasmic reticulum
FDBFlexor digitorum brevis muscle
FDRFalse discovery rate
GAPDHGlyceraldehyde-3-phosphate dehydrogenase
GOGene ontology
GSOrai1G100S/+ mouse model
HSP70Heat shock 70kDa protein
IACUCInstitutional Animal Care and Use Committee
KEGGKyoto Encyclopedia of Genes and Genomes
MCUMitochondrial Ca2+ uniporter
NCXNa+-Ca2+ exchanger
NGSNormal goat serum
PBSPhosphate-buffered saline
PMCAPlasma membrane Ca2+ ATPase
ROSReactive oxygen species
RTRoom temperature
RYR1Ryanodine receptor 1
SDSSodium dodecyl sulfate
SEDSedentary, Sed (non-exercised)
SEMStandard error of the mean
SERCASarco/endoplasmic reticulum Ca2+ ATPase
SOCEStore-operated Ca2+ entry
SOLSoleus muscle
SRSarcoplasmic reticulum
STIM1Stromal interaction molecule 1
TATubular aggregate
TAMTubular aggregate myopathy
TEABTriethylammonium bicarbonate
TFATrifluoroacetic acid
TBSTris-buffered saline
UCARUniversity Committee on Animal Resources
VDACVoltage-dependent anion channel
VWRVoluntary wheel running (exercised)
WTWild type mouse

References

  1. Sandow, A. Excitation-Contraction Coupling in Muscular Response. Yale J. Biol. Med. 1952, 25, 176–201. [Google Scholar]
  2. Rebbeck, R.T.; Karunasekara, Y.; Board, P.G.; Beard, N.A.; Casarotto, M.G.; Dulhunty, A.F. Skeletal muscle excitation–contraction coupling: Who are the dancing partners? Int. J. Biochem. Cell Biol. 2014, 48, 28–38. [Google Scholar] [CrossRef]
  3. Rossi, A.E.; Dirksen, R.T. Sarcoplasmic reticulum: The dynamic calcium governor of muscle. Muscle Nerve 2006, 33, 715–731. [Google Scholar] [CrossRef] [PubMed]
  4. Armstrong, C.; Bezanilla, F.; Horowicz, P. Twitches in the presence of ethylene glycol bis(β-aminoethyl ether)-N,N′-tetraacetic acid. Biochim. Biophys. Acta 1972, 267, 605–608. [Google Scholar] [CrossRef] [PubMed]
  5. Dayal, A.; Schrötter, K.; Pan, Y.; Föhr, K.; Melzer, W.; Grabner, M. The Ca2+ influx through the mammalian skeletal muscle dihydropyridine receptor is irrelevant for muscle performance. Nat. Commun. 2017, 8, 475. [Google Scholar] [CrossRef] [PubMed]
  6. Dirksen, R.T.; Beam, K.G. Role of calcium permeation in dihydropyridine receptor function. Insights into channel gating and excitation-contraction coupling. J. Gen. Physiol. 1999, 114, 393–403. [Google Scholar] [CrossRef]
  7. Lyfenko, A.D.; Dirksen, R.T. Differential dependence of store-operated and excitation-coupled Ca2+ entry in skeletal muscle on STIM1 and Orai1. J. Physiol. 2008, 586, 4815–4824. [Google Scholar] [CrossRef]
  8. Stiber, J.; Hawkins, A.; Zhang, Z.-S.; Wang, S.; Burch, J.; Graham, V.; Ward, C.C.; Seth, M.; Finch, E.; Malouf, N.; et al. STIM1 signalling controls store-operated calcium entry required for development and contractile function in skeletal muscle. Nat. Cell Biol. 2008, 10, 688–697. [Google Scholar] [CrossRef]
  9. Wei-LaPierre, L.; Carrell, E.M.; Boncompagni, S.; Protasi, F.; Dirksen, R.T. Orai1-dependent calcium entry promotes skeletal muscle growth and limits fatigue. Nat. Commun. 2013, 4, 2805. [Google Scholar] [CrossRef]
  10. Darbellay, B.; Arnaudeau, S.; König, S.; Jousset, H.; Bader, C.; Demaurex, N.; Bernheim, L. STIM1- and Orai1-dependent Store-operated Calcium Entry Regulates Human Myoblast Differentiation. J. Biol. Chem. 2009, 284, 5370–5380. [Google Scholar] [CrossRef]
  11. Li, T.; Finch, E.A.; Graham, V.; Zhang, Z.-S.; Ding, J.-D.; Burch, J.; Oh-Hora, M.; Rosenberg, P. STIM1-Ca2+ Signaling Is Required for the Hypertrophic Growth of Skeletal Muscle in Mice. Mol. Cell. Biol. 2012, 32, 3009–3017. [Google Scholar] [CrossRef]
  12. Carrell, E.M.; Coppola, A.R.; McBride, H.J.; Dirksen, R.T. Orai1 enhances muscle endurance by promoting fatigue-resistant type I fiber content but not through acute store-operated Ca2+ entry. FASEB J. 2016, 30, 4109–4119. [Google Scholar] [CrossRef]
  13. Pan, Z.; Yang, D.; Nagaraj, R.Y.; Nosek, T.A.; Nishi, M.; Takeshima, H.; Cheng, H.; Ma, J. Dysfunction of store-operated calcium channel in muscle cells lacking mg29. Nat. Cell Biol. 2002, 4, 379–383. [Google Scholar] [CrossRef]
  14. Zhao, X.; Yoshida, M.; Brotto, L.; Takeshima, H.; Weisleder, N.; Hirata, Y.; Nosek, T.M.; Ma, J.; Brotto, M. Enhanced resistance to fatigue and altered calcium handling properties of sarcalumenin knockout mice. Physiol. Genom. 2005, 23, 72–78. [Google Scholar] [CrossRef]
  15. Thornton, A.M.; Zhao, X.; Weisleder, N.; Brotto, L.S.; Bougoin, S.; Nosek, T.M.; Reid, M.; Hardin, B.; Pan, Z.; Ma, J.; et al. Store-Operated Ca2+ Entry (SOCE) Contributes to Normal Skeletal Muscle Contractility in young but not in aged skeletal muscle. Aging 2011, 3, 621–634. [Google Scholar] [CrossRef]
  16. Gwack, Y.; Srikanth, S.; Oh-Hora, M.; Hogan, P.G.; Lamperti, E.D.; Yamashita, M.; Gelinas, C.; Neems, D.S.; Sasaki, Y.; Feske, S.; et al. Hair loss and defective T- and B-cell function in mice lacking ORAI1. Mol. Cell. Biol. 2008, 28, 5209–5222. [Google Scholar] [CrossRef]
  17. Silva-Rojas, R.; Laporte, J.; Böhm, J. STIM1/ORAI1 Loss-of-Function and Gain-of-Function Mutations Inversely Impact on SOCE and Calcium Homeostasis and Cause Multi-Systemic Mirror Diseases. Front. Physiol. 2020, 11, 604941b. [Google Scholar] [CrossRef]
  18. Silva-Rojas, R.; Treves, S.; Jacobs, H.; Kessler, P.; Messaddeq, N.; Laporte, J.; Böhm, J. STIM1 over-activation generates a multi-systemic phenotype affecting the skeletal muscle, spleen, eye, skin, bones and immune system in mice. Hum. Mol. Genet. 2018, 28, 1579–1593. [Google Scholar] [CrossRef]
  19. Luik, R.M.; Wu, M.M.; Buchanan, J.; Lewis, R.S. The elementary unit of store-operated Ca2+ entry: Local activation of CRAC channels by STIM1 at ER–plasma membrane junctions. J. Cell Biol. 2006, 174, 815–825. [Google Scholar] [CrossRef]
  20. Park, C.Y.; Hoover, P.J.; Mullins, F.M.; Bachhawat, P.; Covington, E.D.; Raunser, S.; Walz, T.; Garcia, K.C.; Dolmetsch, R.E.; Lewis, R.S. STIM1 Clusters and Activates CRAC Channels via Direct Binding of a Cytosolic Domain to Orai1. Cell 2009, 136, 876–890. [Google Scholar] [CrossRef]
  21. Stathopulos, P.B.; Li, G.Y.; Plevin, M.J.; Ames, J.B.; Ikura, M. Stored Ca2+ depletion-induced oligomerization of stromal interaction molecule 1 (STIM1) via the EF-SAM region: An initiation mechanism for capacitive Ca2+ entry. J. Biol. Chem. 2006, 281, 35855–35862. [Google Scholar] [CrossRef]
  22. Böhm, J.; Laporte, J. Gain-of-function mutations in STIM1 and ORAI1 causing tubular aggregate myopathy and Stormorken syndrome. Cell Calcium 2018, 76, 1–9. [Google Scholar] [CrossRef]
  23. Michelucci, A.; García-Castañeda, M.; Boncompagni, S.; Dirksen, R.T. Role of STIM1/ORAI1-mediated store-operated Ca2+ entry in skeletal muscle physiology and disease. Cell Calcium 2018, 76, 101–115. [Google Scholar] [CrossRef]
  24. Feske, S.; Gwack, Y.; Prakriya, M.; Srikanth, S.; Puppel, S.-H.; Tanasa, B.; Hogan, P.G.; Lewis, R.S.; Daly, M.; Rao, A. A mutation in Orai1 causes immune deficiency by abrogating CRAC channel function. Nature 2006, 441, 179–185. [Google Scholar] [CrossRef]
  25. Picard, C.; McCarl, C.-A.; Papolos, A.; Khalil, S.; Lüthy, K.; Hivroz, C.; LeDeist, F.; Rieux-Laucat, F.; Rechavi, G.; Rao, A.; et al. STIM1 Mutation Associated with a Syndrome of Immunodeficiency and Autoimmunity. N. Engl. J. Med. 2009, 360, 1971–1980. [Google Scholar] [CrossRef]
  26. Böhm, J.; Bulla, M.; Urquhart, J.E.; Malfatti, E.; Williams, S.G.; O’SUllivan, J.; Szlauer, A.; Koch, C.; Baranello, G.; Mora, M.; et al. ORAI1 Mutations with Distinct Channel Gating Defects in Tubular Aggregate Myopathy. Hum. Mutat. 2017, 38, 426–438. [Google Scholar] [CrossRef]
  27. Böhm, J.; Chevessier, F.; De Paula, A.M.; Koch, C.; Attarian, S.; Feger, C.; Hantaï, D.; Laforêt, P.; Ghorab, K.; Vallat, J.-M.; et al. Constitutive Activation of the Calcium Sensor STIM1 Causes Tubular-Aggregate Myopathy. Am. J. Hum. Genet. 2013, 92, 271–278. [Google Scholar] [CrossRef]
  28. Böhm, J.; Chevessier, F.; Koch, C.; Peche, G.A.; Mora, M.; Morandi, L.; Pasanisi, B.; Moroni, I.; Tasca, G.; Fattori, F.; et al. Clinical, histological and genetic characterisation of patients with tubular aggregate myopathy caused by mutations in STIM1. J. Med. Genet. 2014, 51, 824–833. [Google Scholar] [CrossRef]
  29. Chevessier, F.; Bauché-Godard, S.; Leroy, J.-P.; Koenig, J.; Paturneau-Jouas, M.; Eymard, B.; Hantaï, D.; Verdière-Sahuqué, M. The origin of tubular aggregates in human myopathies. J. Pathol. 2005, 207, 313–323. [Google Scholar] [CrossRef]
  30. Hedberg, C.; Niceta, M.; Fattori, F.; Lindvall, B.; Ciolfi, A.; D’aMico, A.; Tasca, G.; Petrini, S.; Tulinius, M.; Tartaglia, M.; et al. Childhood onset tubular aggregate myopathy associated with de novo STIM1 mutations. J. Neurol. 2014, 261, 870–876. [Google Scholar] [CrossRef]
  31. Misceo, D.; Holmgren, A.; Louch, W.E.; Holme, P.A.; Mizobuchi, M.; Morales, R.J.; De Paula, A.M.; Stray-Pedersen, A.; Lyle, R.; Dalhus, B.; et al. A Dominant STIM1 Mutation Causes Stormorken Syndrome. Hum. Mutat. 2014, 35, 556–564. [Google Scholar] [CrossRef]
  32. Morin, G.; Biancalana, V.; Echaniz-Laguna, A.; Noury, J.; Lornage, X.; Moggio, M.; Ripolone, M.; Violano, R.; Marcorelles, P.; Maréchal, D.; et al. Tubular aggregate myopathy and Stormorken syndrome: Mutation spectrum and genotype/phenotype correlation. Hum. Mutat. 2019, 41, 17–37. [Google Scholar] [CrossRef]
  33. Nesin, V.; Wiley, G.; Kousi, M.; Ong, E.-C.; Lehmann, T.; Nicholl, D.J.; Suri, M.; Shahrizaila, N.; Katsanis, N.; Gaffney, P.M.; et al. Activating mutations in STIM1 and ORAI1 cause overlapping syndromes of tubular myopathy and congenital miosis. Proc. Natl. Acad. Sci. USA 2014, 111, 4197–4202. [Google Scholar] [CrossRef]
  34. Noury, J.-B.; Böhm, J.; Peche, G.A.; Guyant-Marechal, L.; Bedat-Millet, A.-L.; Chiche, L.; Carlier, R.-Y.; Malfatti, E.; Romero, N.B.; Stojkovic, T. Tubular aggregate myopathy with features of Stormorken disease due to a new STIM1 mutation. Neuromuscul. Disord. 2017, 27, 78–82. [Google Scholar] [CrossRef]
  35. Stormorken, H.; Sjaastad, O.; Langslet, A.; Sulg, I.; Egge, K.; Diderichsen, J. A new syndrome: Thrombocytopathia, muscle fatigue, asplenia, miosis, migraine, dyslexia and ichthyosis. Clin. Genet. 1985, 28, 367–374. [Google Scholar] [CrossRef]
  36. Lafabrie, E.; Pažur, M.V.; Laporte, J.; Böhm, J. STIM1 in-frame deletion of eight amino acids in a patient with moderate tubular aggregate myopathy/Stormorken syndrome. J. Med. Genet. 2025, 62, 381–387. [Google Scholar] [CrossRef]
  37. Waldherr, L.; Tiffner, A.; Mishra, D.; Sallinger, M.; Schober, R.; Frischauf, I.; Schmidt, T.; Handl, V.; Sagmeister, P.; Köckinger, M.; et al. Blockage of Store-Operated Ca2+ Influx by Synta66 is Mediated by Direct Inhibition of the Ca2+ Selective Orai1 Pore. Cancers 2020, 12, 2876. [Google Scholar] [CrossRef]
  38. Silva-Rojas, R.; Pérez-Guàrdia, L.; Simon, A.; Djeddi, S.; Treves, S.; Ribes, A.; Silva-Hernández, L.; Tard, C.; Laporte, J.; Böhm, J. ORAI1 inhibition as an efficient preclinical therapy for tubular aggregate myopathy and Stormorken syndrome. J. Clin. Investig. 2024, 9, e174866. [Google Scholar] [CrossRef]
  39. Boncompagni, S.; Protasi, F.; Franzini-Armstrong, C. Sequential stages in the age-dependent gradual formation and accumulation of tubular aggregates in fast twitch muscle fibers: SERCA and calsequestrin involvement. Age 2011, 34, 27–41. [Google Scholar] [CrossRef]
  40. Chevessier, F.; Marty, I.; Paturneau-Jouas, M.; Hantaï, D.; Verdière-Sahuqué, M. Tubular aggregates are from whole sarcoplasmic reticulum origin: Alterations in calcium binding protein expression in mouse skeletal muscle during aging. Neuromuscul. Disord. 2004, 14, 208–216. [Google Scholar] [CrossRef]
  41. Salviati, G.; Pierobon-Bormioli, S.; Betto, R.; Damiani, E.; Angelini, C.; Ringel, S.P.; Salvatori, S.; Margreth, A. Tubular aggregates: Sarcoplasmic reticulum origin, calcium storage ability, and functional implications. Muscle Nerve 1985, 8, 299–306. [Google Scholar] [CrossRef]
  42. Schiaffino, S. Tubular aggregates in skeletal muscle: Just a special type of protein aggregates? Neuromuscul. Disord. 2012, 22, 199–207. [Google Scholar] [CrossRef] [PubMed]
  43. Endo, Y.; Noguchi, S.; Hara, Y.; Hayashi, Y.K.; Motomura, K.; Miyatake, S.; Murakami, N.; Tanaka, S.; Yamashita, S.; Kizu, R.; et al. Dominant mutations in ORAI1 cause tubular aggregate myopathy with hypocalcemia via constitutive activation of store-operated Ca2+ channels. Hum. Mol. Genet. 2014, 24, 637–648. [Google Scholar] [CrossRef]
  44. Barone, V.; Del Re, V.; Gamberucci, A.; Polverino, V.; Galli, L.; Rossi, D.; Costanzi, E.; Toniolo, L.; Berti, G.; Malandrini, A.; et al. Identification and characterization of three novel mutations in the CASQ1 gene in four patients with tubular aggregate myopathy. Hum. Mutat. 2017, 38, 1761–1773. [Google Scholar] [CrossRef]
  45. Böhm, J.; Lornage, X.; Chevessier, F.; Birck, C.; Zanotti, S.; Cudia, P.; Bulla, M.; Granger, F.; Bui, M.T.; Sartori, M.; et al. CASQ1 mutations impair calsequestrin polymerization and cause tubular aggregate myopathy. Acta Neuropathol. 2017, 135, 149–151. [Google Scholar] [CrossRef]
  46. Rossi, D.; Vezzani, B.; Galli, L.; Paolini, C.; Toniolo, L.; Pierantozzi, E.; Spinozzi, S.; Barone, V.; Pegoraro, E.; Bello, L.; et al. A Mutation in the CASQ1 Gene Causes a Vacuolar Myopathy with Accumulation of Sarcoplasmic Reticulum Protein Aggregates. Hum. Mutat. 2014, 35, 1163–1170. [Google Scholar] [CrossRef]
  47. Vattemi, G.N.A.; Rossi, D.; Galli, L.; Catallo, M.R.; Pancheri, E.; Marchetto, G.; Cisterna, B.; Malatesta, M.; Pierantozzi, E.; Tonin, P.; et al. Ryanodine receptor 1 (RYR1) mutations in two patients with tubular aggregate myopathy. Eur. J. Neurosci. 2022, 56, 4214–4223. [Google Scholar] [CrossRef] [PubMed]
  48. Cordero-Sanchez, C.; Riva, B.; Reano, S.; Clemente, N.; Zaggia, I.; Ruffinatti, F.A.; Potenzieri, A.; Pirali, T.; Raffa, S.; Sangaletti, S.; et al. A luminal EF-hand mutation in STIM1 in mice causes the clinical hallmarks of tubular aggregate myopathy. Dis. Model. Mech. 2019, 13, dmm041111. [Google Scholar] [CrossRef] [PubMed]
  49. Grosse, J.; Braun, A.; Varga-Szabo, D.; Beyersdorf, N.; Schneider, B.; Zeitlmann, L.; Hanke, P.; Schropp, P.; Mühlstedt, S.; Zorn, C.; et al. An EF hand mutation in Stim1 causes premature platelet activation and bleeding in mice. J. Clin. Investig. 2007, 117, 3540–3550. [Google Scholar] [CrossRef]
  50. Zhao, N.; Michelucci, A.; Pietrangelo, L.; Malik, S.; Groom, L.; Leigh, J.; O’cOnnor, T.N.; Takano, T.; Kingsley, P.D.; Palis, J.; et al. An Orai1 gain-of-function tubular aggregate myopathy mouse model phenocopies key features of the human disease. EMBO J. 2024, 43, 5941–5971. [Google Scholar] [CrossRef]
  51. Pérez-Guàrdia, L.; Lafabrie, E.; Diedhiou, N.; Spiegelhalter, C.; Laporte, J.; Böhm, J. A Gain-of-Function Mutation in the Ca2+ Channel ORAI1 Causes Stormorken Syndrome with Tubular Aggregates in Mice. Cells 2024, 13, 1829. [Google Scholar] [CrossRef]
  52. Böhm, J. Commentary to An Orai1 gain-of-function tubular aggregate myopathy mouse model phenocopies key features of the human disease (Zhao et al., EMBO Journal 2024) and A gain-of-function mutation in the Ca2+ channel ORAI1 causes Stormorken syndrome with tubular aggregates in mice (Pérez-Guàrdia et al., Cells 2024). Cell Calcium 2025, 126, 102998. [Google Scholar] [CrossRef] [PubMed]
  53. Boncompagni, S.; Pecorai, C.; Michelucci, A.; Pietrangelo, L.; Protasi, F. Long-Term Exercise Reduces Formation of Tubular Aggregates and Promotes Maintenance of Ca2+ Entry Units in Aged Muscle. Front. Physiol. 2021, 11, 601057. [Google Scholar] [CrossRef] [PubMed]
  54. O’Connor, T.N.; Kallenbach, J.G.; Orciuoli, H.M.; Paris, N.D.; Bachman, J.F.; Johnston, C.J.; Hernady, E.; Williams, J.P.; Dirksen, R.T.; Chakkalakal, J.V. Endurance exercise attenuates juvenile irradiation-induced skeletal muscle functional decline and mitochondrial stress. Skelet. Muscle 2022, 12, 8. [Google Scholar] [CrossRef] [PubMed]
  55. Ferraro, E.; Giammarioli, A.M.; Chiandotto, S.; Spoletini, I.; Rosano, G. Exercise-Induced Skeletal Muscle Remodeling and Metabolic Adaptation: Redox Signaling and Role of Autophagy. Antioxid. Redox Signal. 2014, 21, 154–176. [Google Scholar] [CrossRef]
  56. Robinson, M.M.; Dasari, S.; Konopka, A.R.; Johnson, M.L.; Manjunatha, S.; Esponda, R.R.; Carter, R.E.; Lanza, I.R.; Nair, K.S. Enhanced protein translation underlies improved metabolic and physical adaptations to different exercise training modes in young and old humans. Cell Metab. 2017, 25, 581–592. [Google Scholar] [CrossRef]
  57. Michelucci, A.; Boncompagni, S.; Pietrangelo, L.; García-Castañeda, M.; Takano, T.; Malik, S.; Dirksen, R.T.; Protasi, F. Transverse tubule remodeling enhances Orai1-dependent Ca2+ entry in skeletal muscle. eLife 2019, 8, e47576. [Google Scholar] [CrossRef]
  58. Lanner, J.T.; Georgiou, D.K.; Dagnino-Acosta, A.; Ainbinder, A.; Cheng, Q.; Joshi, A.D.; Chen, Z.; Yarotskyy, V.; Oakes, J.M.; Lee, C.S.; et al. AICAR prevents heat-induced sudden death in RyR1 mutant mice independent of AMPK activation. Nat. Med. 2012, 18, 244–251. [Google Scholar] [CrossRef]
  59. Ainbinder, A.; Boncompagni, S.; Protasi, F.; Dirksen, R.T. Role of Mitofusin-2 in mitochondrial localization and calcium uptake in skeletal muscle. Cell Calcium 2015, 57, 14–24. [Google Scholar] [CrossRef]
  60. Bachman, J.F.; Klose, A.; Liu, W.; Paris, N.D.; Blanc, R.S.; Schmalz, M.; Knapp, E.; Chakkalakal, J.V. Prepubertal skeletal muscle growth requires Pax7-expressing satellite cell-derived myonuclear contribution. Development 2018, 145, dev167197. [Google Scholar] [CrossRef]
  61. Liu, W.; Klose, A.; Forman, S.; Paris, N.D.; Wei-LaPierre, L.; Cortés-Lopéz, M.; Tan, A.; Flaherty, M.; Miura, P.; Dirksen, R.T.; et al. Loss of adult skeletal muscle stem cells drives age-related neuromuscular junction degeneration. eLife 2017, 6, e26464. [Google Scholar] [CrossRef]
  62. Liu, W.; Wei-LaPierre, L.; Klose, A.; Dirksen, R.T.; Chakkalakal, J.V. Inducible depletion of adult skeletal muscle stem cells impairs the regeneration of neuromuscular junctions. eLife 2015, 4, e09221. [Google Scholar] [CrossRef]
  63. Hakim, C.H.; Wasala, N.B.; Duan, D. Evaluation of muscle function of the extensor digitorum longus muscle Ex vivo and tibialis anterior muscle in situ in mice. J. Vis. Exp. 2013, 72, 50183. [Google Scholar] [CrossRef]
  64. Demichev, V.; Messner, C.B.; Vernardis, S.I.; Lilley, K.S.; Ralser, M. DIA-NN: Neural networks and interference correction enable deep proteome coverage in high throughput. Nat. Methods 2019, 17, 41–44. [Google Scholar] [CrossRef]
  65. Cox, J.; Hein, M.Y.; Luber, C.A.; Paron, I.; Nagaraj, N.; Mann, M. Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ. Mol. Cell. Proteom. 2014, 13, 2513–2526. [Google Scholar] [CrossRef]
  66. Ge, S.X.; Jung, D.; Yao, R. ShinyGO: A graphical gene-set enrichment tool for animals and plants. Bioinformatics 2020, 36, 2628–2629. [Google Scholar] [CrossRef] [PubMed]
  67. Kanehisa, M.; Furumichi, M.; Sato, Y.; Ishiguro-Watanabe, M.; Tanabe, M. KEGG: Integrating viruses and cellular organisms. Nucleic Acids Res. 2020, 49, D545–D551. [Google Scholar] [CrossRef]
  68. Luo, W.; Brouwer, C. Pathview: An R/Bioconductor package for pathway-based data integration and visualization. Bioinformatics 2013, 29, 1830–1831. [Google Scholar] [CrossRef]
  69. Goedhart, J.; Luijsterburg, M.S. VolcaNoseR is a web app for creating, exploring, labeling and sharing volcano plots. Sci. Rep. 2020, 10, 20560. [Google Scholar] [CrossRef] [PubMed]
  70. Boncompagni, S.; Rossi, A.E.; Micaroni, M.; Beznoussenko, G.V.; Polishchuk, R.S.; Dirksen, R.T.; Protasi, F.; Parton, R.G. Mitochondria Are Linked to Calcium Stores in Striated Muscle by Developmentally Regulated Tethering Structures. Mol. Biol. Cell 2009, 20, 1058–1067. [Google Scholar] [CrossRef] [PubMed]
  71. Pietrangelo, L.; D’iNcecco, A.; Ainbinder, A.; Michelucci, A.; Kern, H.; Dirksen, R.T.; Boncompagni, S.; Protasi, F. Age-dependent uncoupling of mitochondria from Ca2+ release units in skeletal muscle. Oncotarget 2015, 6, 35358–35371. [Google Scholar] [CrossRef]
  72. Pietrangelo, L.; Michelucci, A.; Ambrogini, P.; Sartini, S.; Guarnier, F.A.; Fusella, A.; Zamparo, I.; Mammucari, C.; Protasi, F.; Boncompagni, S. Muscle activity prevents the uncoupling of mitochondria from Ca2+ Release Units induced by ageing and disuse. Arch. Biochem. Biophys. 2019, 663, 22–33. [Google Scholar] [CrossRef]
  73. Brumback, R.A.; Staton, R.D.; Susag, M.E. Exercise-induced pain, stiffness, and tubular aggregation in skeletal muscle. J. Neurol. Neurosurg. Psychiatry 1981, 44, 250–254. [Google Scholar] [CrossRef] [PubMed]
  74. Lazaro, R.P.; Fenichel, G.M.; Kilroy, A.W.; Saito, A.; Fleischer, S. Cramps, Muscle Pain, and Tubular Aggregates. Arch. Neurol. 1980, 37, 715–717. [Google Scholar] [CrossRef]
  75. Morgan-Hughes, J.A.; Mair, W.G.P.; Lascelles, P.T. A disorder of skeletal muscle associated with tubular aggregates. Brain 1970, 93, 873–880. [Google Scholar] [CrossRef] [PubMed]
  76. Niakan, E.; Harati, Y.; Danon, M.J. Tubular aggregates: Their association with myalgia. J. Neurol. Neurosurg. Psychiatry 1985, 48, 882–886. [Google Scholar] [CrossRef]
  77. Silva-Rojas, R.; Pérez-Guàrdia, L.; Lafabrie, E.; Moulaert, D.; Laporte, J.; Böhm, J. Silencing of the Ca2+ Channel ORAI1 Improves the Multi-Systemic Phenotype of Tubular Aggregate Myopathy (TAM) and Stormorken Syndrome (STRMK) in Mice. Int. J. Mol. Sci. 2022, 23, 6968. [Google Scholar] [CrossRef]
  78. Brookes, P.S.; Yoon, Y.; Robotham, J.L.; Anders, M.W.; Sheu, S.-S. Calcium, ATP, and ROS: A mitochondrial love-hate triangle. Am. J. Physiol. Physiol. 2004, 287, C817–C833. [Google Scholar] [CrossRef]
  79. Butera, G.; Reane, D.V.; Canato, M.; Pietrangelo, L.; Boncompagni, S.; Protasi, F.; Rizzuto, R.; Reggiani, C.; Raffaello, A. Parvalbumin affects skeletal muscle trophism through modulation of mitochondrial calcium uptake. Cell Rep. 2021, 35, 109087. [Google Scholar] [CrossRef]
  80. Cartes-Saavedra, B.; Macuada, J.; Lagos, D.; Arancibia, D.; Andrés, M.E.; Yu-Wai-Man, P.; Hajnóczky, G.; Eisner, V. OPA1 Modulates Mitochondrial Ca2+ Uptake Through ER-Mitochondria Coupling. Front. Cell Dev. Biol. 2022, 9, 774108. [Google Scholar] [CrossRef] [PubMed]
  81. Engel, W.K.; Bishop, D.W.; Cunningham, G.G. Tubular aggregates in type II muscle fibers: Ultrastructural and histochemical correlation. J. Ultrastruct. Res. 1970, 31, 507–525. [Google Scholar] [CrossRef] [PubMed]
  82. Cully, T.R.; Edwards, J.N.; Friedrich, O.; Stephenson, D.G.; Murphy, R.M.; Launikonis, B.S. Changes in plasma membrane Ca-ATPase and stromal interacting molecule 1 expression levels for Ca2+ signaling in dystrophic mdx mouse muscle. Am. J. Physiol. Physiol. 2012, 303, C567–C576. [Google Scholar] [CrossRef] [PubMed]
  83. Edwards, J.N.; Friedrich, O.; Cully, T.R.; Von Wegner, F.; Murphy, R.M.; Launikonis, B.S. Upregulation of store-operated Ca2+ entry in dystrophic mdx mouse muscle. Am. J. Physiol.-Cell Physiol. 2010, 299, C42–C50. [Google Scholar] [CrossRef] [PubMed]
  84. Goonasekera, S.A.; Davis, J.; Kwong, J.Q.; Accornero, F.; Wei-LaPierre, L.; Sargent, M.A.; Dirksen, R.T.; Molkentin, J.D. Enhanced Ca2+ influx from STIM1–Orai1 induces muscle pathology in mouse models of muscular dystrophy. Hum. Mol. Genet. 2014, 23, 3706–3715. [Google Scholar] [CrossRef]
  85. Vandebrouck, C.; Martin, D.; Schoor, M.C.-V.; Debaix, H.; Gailly, P. Involvement of TRPC in the abnormal calcium influx observed in dystrophic (mdx) mouse skeletal muscle fibers. J. Cell Biol. 2002, 158, 1089–1096. [Google Scholar] [CrossRef]
  86. Zhao, X.; Moloughney, J.G.; Zhang, S.; Komazaki, S.; Weisleder, N.; Huard, J. Orai1 Mediates Exacerbated Ca2+ Entry in Dystrophic Skeletal Muscle. PLoS ONE 2012, 7, e49862. [Google Scholar] [CrossRef]
  87. Brotto, M. Aging, sarcopenia and store-operated calcium entry: A common link? Cell Cycle 2011, 10, 4201–4202. [Google Scholar] [CrossRef]
  88. Zhao, X.; Weisleder, N.; Thornton, A.; Oppong, Y.; Campbell, R.; Ma, J.; Brotto, M. Compromised store-operated Ca2+ entry in aged skeletal muscle. Aging Cell 2008, 7, 561–568. [Google Scholar] [CrossRef]
  89. Boncompagni, S.; Michelucci, A.; Pietrangelo, L.; Dirksen, R.T.; Protasi, F. Exercise-dependent formation of new junctions that promote STIM1-Orai1 assembly in skeletal muscle. Sci. Rep. 2017, 7, 14286. [Google Scholar] [CrossRef]
  90. Garibaldi, M.; Fattori, F.; Riva, B.; Labasse, C.; Brochier, G.; Ottaviani, P.; Sacconi, S.; Vizzaccaro, E.; Laschena, F.; Romero, N.; et al. A novel gain-of-function mutation in ORAI1 causes late-onset tubular aggregate myopathy and congenital miosis. Clin. Genet. 2016, 91, 780–786. [Google Scholar] [CrossRef]
  91. Allen, D.L.; Harrison, B.C.; Maass, A.; Bell, M.L.; Byrnes, W.C.; Leinwand, L.A. Cardiac and skeletal muscle adaptations to voluntary wheel running in the mouse. J. Appl. Physiol. 2001, 90, 1900–1908. [Google Scholar] [CrossRef]
  92. Jackson, J.R.; Kirby, T.J.; Fry, C.S.; Cooper, R.L.; McCarthy, J.J.; Peterson, C.A.; Dupont-Versteegden, E.E. Reduced voluntary running performance is associated with impaired coordination as a result of muscle satellite cell depletion in adult mice. Skelet. Muscle 2015, 5, 41. [Google Scholar] [CrossRef]
  93. Collao, N.; Sanders, O.; Caminiti, T.; Messeiller, L.; De Lisio, M. Resistance and endurance exercise training improves muscle mass and the inflammatory/fibrotic transcriptome in a rhabdomyosarcoma model. J. Cachex- Sarcopenia Muscle 2023, 14, 781–793. [Google Scholar] [CrossRef] [PubMed]
  94. Goh, Q.; Song, T.; Petrany, M.J.; Cramer, A.A.; Sun, C.; Sadayappan, S.; Lee, S.-J.; Millay, D.P. Myonuclear accretion is a determinant of exercise-induced remodeling in skeletal muscle. eLife 2019, 8, e44876. [Google Scholar] [CrossRef]
  95. Ranjbar, K.; Ballarò, R.; Bover, Q.; Pin, F.; Beltrà, M.; Penna, F.; Costelli, P. Combined Exercise Training Positively Affects Muscle Wasting in Tumor-Bearing Mice. Med. Sci. Sports Exerc. 2019, 51, 1387–1395. [Google Scholar] [CrossRef]
  96. Verdijk, L.B.; Snijders, T.; Drost, M.; Delhaas, T.; Kadi, F.; van Loon, L.J.C. Satellite cells in human skeletal muscle; from birth to old age. Age 2014, 36, 545–557. [Google Scholar] [CrossRef] [PubMed]
  97. Verney, J.; Kadi, F.; Charifi, N.; Féasson, L.; Saafi, M.A.; Castells, J.; Piehl-Aulin, K.; Denis, C. Effects of combined lower body endurance and upper body resistance training on the satellite cell pool in elderly subjects. Muscle Nerve 2008, 38, 1147–1154. [Google Scholar] [CrossRef] [PubMed]
  98. Mackenzie, S.J.; Hamel, J.; Thornton, C.A. Benefits of aerobic exercise in myotonic dystrophy type 1. J. Clin. Investig. 2022, 132, e160229. [Google Scholar] [CrossRef]
Figure 1. Experimental design and characterization of WT and GS mouse running activity and body mass following six months of VWR. (A) Timeline of six months VWR from two months to eight months of age in WT and GS mice. Mice were sacrificed at eight months of age to conduct terminal experiments. (B) Average daily running activity of WT and GS mice during six months of VWR. (C) WT and GS mouse body mass at two months of age. (D) WT and GS, Sed and VWR mouse body mass at eight months of age. (E) Change in body mass from two to eight months of age in WT and GS, Sed and VWR mice. Each dot is representative of one mouse. Two-way ANOVA # p < 0.05, && p < 0.01. Isolated &, # denote ANOVA group effects of genotype and exercise, respectively. Data displayed as mean +/− S.E.M.
Figure 1. Experimental design and characterization of WT and GS mouse running activity and body mass following six months of VWR. (A) Timeline of six months VWR from two months to eight months of age in WT and GS mice. Mice were sacrificed at eight months of age to conduct terminal experiments. (B) Average daily running activity of WT and GS mice during six months of VWR. (C) WT and GS mouse body mass at two months of age. (D) WT and GS, Sed and VWR mouse body mass at eight months of age. (E) Change in body mass from two to eight months of age in WT and GS, Sed and VWR mice. Each dot is representative of one mouse. Two-way ANOVA # p < 0.05, && p < 0.01. Isolated &, # denote ANOVA group effects of genotype and exercise, respectively. Data displayed as mean +/− S.E.M.
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Figure 2. Ca2+ measurements from isolated FDB fibers. (A) Resting myoplasmic Ca2+ measurements of fibers from WT and GS, Sed and VWR mice. (B) Total releasable Ca2+ store content measurements in fibers from WT and GS, Sed and VWR mice. (C) Representative traces from Mn2+ quench assay with SR Ca2+ store depletion to assess SOCE in fibers from WT and GS, Sed and VWR mice. (D) Quantification of SOCE via rate of Mn2+ quench with SR Ca2+ store depletion from (C). (E) Mn2+ quench assay without SR Ca2+ store depletion to assess constitutive Ca2+ entry in WT and GS, Sed and VWR mice. (F) Quantification of constitutive Ca2+ entry via rate of Mn2+ quench without SR Ca2+ store depletion from (E). Each dot is representative of the mean from one mouse. Two-way ANOVA with multiple comparisons */$/#/& p < 0.05, ** p < 0.01, ### p < 0.001, ****/&&&& p < 0.0001. Isolated &, #, $ denote ANOVA group effects of genotype, exercise, and significant interaction of exercise and genotype, respectively. Data displayed as mean +/− S.E.M.
Figure 2. Ca2+ measurements from isolated FDB fibers. (A) Resting myoplasmic Ca2+ measurements of fibers from WT and GS, Sed and VWR mice. (B) Total releasable Ca2+ store content measurements in fibers from WT and GS, Sed and VWR mice. (C) Representative traces from Mn2+ quench assay with SR Ca2+ store depletion to assess SOCE in fibers from WT and GS, Sed and VWR mice. (D) Quantification of SOCE via rate of Mn2+ quench with SR Ca2+ store depletion from (C). (E) Mn2+ quench assay without SR Ca2+ store depletion to assess constitutive Ca2+ entry in WT and GS, Sed and VWR mice. (F) Quantification of constitutive Ca2+ entry via rate of Mn2+ quench without SR Ca2+ store depletion from (E). Each dot is representative of the mean from one mouse. Two-way ANOVA with multiple comparisons */$/#/& p < 0.05, ** p < 0.01, ### p < 0.001, ****/&&&& p < 0.0001. Isolated &, #, $ denote ANOVA group effects of genotype, exercise, and significant interaction of exercise and genotype, respectively. Data displayed as mean +/− S.E.M.
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Figure 3. EDL (left) and soleus (right) muscle mass and ex vivo physiology upon electrical stimulation. Muscle mass and ex vivo physiology of WT and GS, Sed and VWR, EDL and soleus muscles. (A,I) Raw excised muscle mass. (B,J) Lean muscle mass calculated as raw muscle mass divided by body mass. (C,K) Absolute force frequency curve. (D,L) Quantification from (C,K) of maximal absolute force at 200 Hz stimulation. (E,M) Specific force frequency curve as normalized to muscle physiologic cross-sectional area. (F,N) Quantification from (E,M) of maximal specific force at 200 Hz stimulation. (G,O) Rate of activation measurements of excited muscle time to peak muscle contraction. (H,P) Rate of relaxation measurements of time to baseline following muscle excitation cessation. Each dot is representative of one mouse. Two-way ANOVA with multiple comparisons. */#/& p < 0.05, **/##/&& p < 0.01, ***/###/&&& p < 0.001, ####/&&&& p < 0.0001. Isolated &, # denote ANOVA group effects of genotype and exercise, respectively. Data displayed as mean +/− S.E.M.
Figure 3. EDL (left) and soleus (right) muscle mass and ex vivo physiology upon electrical stimulation. Muscle mass and ex vivo physiology of WT and GS, Sed and VWR, EDL and soleus muscles. (A,I) Raw excised muscle mass. (B,J) Lean muscle mass calculated as raw muscle mass divided by body mass. (C,K) Absolute force frequency curve. (D,L) Quantification from (C,K) of maximal absolute force at 200 Hz stimulation. (E,M) Specific force frequency curve as normalized to muscle physiologic cross-sectional area. (F,N) Quantification from (E,M) of maximal specific force at 200 Hz stimulation. (G,O) Rate of activation measurements of excited muscle time to peak muscle contraction. (H,P) Rate of relaxation measurements of time to baseline following muscle excitation cessation. Each dot is representative of one mouse. Two-way ANOVA with multiple comparisons. */#/& p < 0.05, **/##/&& p < 0.01, ***/###/&&& p < 0.001, ####/&&&& p < 0.0001. Isolated &, # denote ANOVA group effects of genotype and exercise, respectively. Data displayed as mean +/− S.E.M.
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Figure 4. Assessment of mitochondrial structure and sarcomere alignment. (AC) Histological and (DF) EM images of longitudinal sections of soleus muscle from WT Sed (A,D), GS Sed (B,E), and GS VWR (C,F) mice. Asterisks in (B,C) point to fibers with non-regular pale-dark striations. In (E), asterisks indicate sarcomeres with Z line streaming and misaligned myofibrils; black arrows point to areas with partial disruption of the regular arrangement of the I band within a sarcomere. M indicates mitochondrial profiles. (G) Quantitative EM analysis of frequency of mitochondrial profiles per 100 µm2. (H) Quantitative EM analysis of mitochondrial volume as a percent of total myofiber volume analyzed. (I) Percentage of mitochondria profiles displaying altered structure. (J) Number of misaligned sarcomeres per 100 µm2. Each dot represents a single mouse. (AC), scale bar = 200 µm; (DF), scale bar = 1 µm Two-way ANOVA with multiple comparisons. * p < 0.05, && p < 0.01. Isolated & denotes ANOVA group effect of genotype. Data displayed as mean +/− S.E.M.
Figure 4. Assessment of mitochondrial structure and sarcomere alignment. (AC) Histological and (DF) EM images of longitudinal sections of soleus muscle from WT Sed (A,D), GS Sed (B,E), and GS VWR (C,F) mice. Asterisks in (B,C) point to fibers with non-regular pale-dark striations. In (E), asterisks indicate sarcomeres with Z line streaming and misaligned myofibrils; black arrows point to areas with partial disruption of the regular arrangement of the I band within a sarcomere. M indicates mitochondrial profiles. (G) Quantitative EM analysis of frequency of mitochondrial profiles per 100 µm2. (H) Quantitative EM analysis of mitochondrial volume as a percent of total myofiber volume analyzed. (I) Percentage of mitochondria profiles displaying altered structure. (J) Number of misaligned sarcomeres per 100 µm2. Each dot represents a single mouse. (AC), scale bar = 200 µm; (DF), scale bar = 1 µm Two-way ANOVA with multiple comparisons. * p < 0.05, && p < 0.01. Isolated & denotes ANOVA group effect of genotype. Data displayed as mean +/− S.E.M.
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Figure 5. Soleus proteomic analysis of WT and GS, Sed (left) and VWR (right) mice. (A,E) Analysis of significantly up (red) and downregulated (blue) proteins as compared to WT samples. (B,F) Volcano plot analysis of significantly altered proteins. (C,G) Top ten altered GO Cellular process pathway analysis from identified significantly altered proteins with (D,H) network analysis of top ten pathways. (I) Mitochondrion pathway heatmap of the 20 most significantly up- and down-regulated proteins within the pathway when comparing GS Sed vs. WT Sed (column 1) and GS VWR vs. WT VWR (column 2). The complete pathway of all significantly altered proteins is shown in Supplemental Figure S7. For network analyses, connected nodes display 20% or more overlap of proteins between sets, thicker connections display increased overlap; darker nodes depict more significantly enriched protein sets; larger nodes depict larger protein sets. Only significantly altered proteins with p < 0.05 and a Log2 fold change > 1 were identified in the volcano plots. Only significantly altered proteins with p < 0.05 were included in pathway analysis. n = 3 for each cohort.
Figure 5. Soleus proteomic analysis of WT and GS, Sed (left) and VWR (right) mice. (A,E) Analysis of significantly up (red) and downregulated (blue) proteins as compared to WT samples. (B,F) Volcano plot analysis of significantly altered proteins. (C,G) Top ten altered GO Cellular process pathway analysis from identified significantly altered proteins with (D,H) network analysis of top ten pathways. (I) Mitochondrion pathway heatmap of the 20 most significantly up- and down-regulated proteins within the pathway when comparing GS Sed vs. WT Sed (column 1) and GS VWR vs. WT VWR (column 2). The complete pathway of all significantly altered proteins is shown in Supplemental Figure S7. For network analyses, connected nodes display 20% or more overlap of proteins between sets, thicker connections display increased overlap; darker nodes depict more significantly enriched protein sets; larger nodes depict larger protein sets. Only significantly altered proteins with p < 0.05 and a Log2 fold change > 1 were identified in the volcano plots. Only significantly altered proteins with p < 0.05 were included in pathway analysis. n = 3 for each cohort.
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Figure 6. Assessment and quantification of EDL muscle TA prevalence and size. Transverse EDL muscle EM images from (A) WT Sed, (B) GS Sed, and (C) GS VWR mice. Green overlays denote TAs. Quantitative EM analysis of (D) percentage of fibers with TAs, (E) average number of TAs per fiber, and (F) average size of TAs. (A) Scale bar = 1.5 µm. (B,C) Scale bar = 2 µm. Each dot is representative of one mouse. Two-way ANOVA with multiple comparisons. * p < 0.05, **/##/&& p < 0.01, &&& p < 0.001. Isolated &, # denote ANOVA group effects of genotype and exercise, respectively. Data displayed as mean +/− S.E.M.
Figure 6. Assessment and quantification of EDL muscle TA prevalence and size. Transverse EDL muscle EM images from (A) WT Sed, (B) GS Sed, and (C) GS VWR mice. Green overlays denote TAs. Quantitative EM analysis of (D) percentage of fibers with TAs, (E) average number of TAs per fiber, and (F) average size of TAs. (A) Scale bar = 1.5 µm. (B,C) Scale bar = 2 µm. Each dot is representative of one mouse. Two-way ANOVA with multiple comparisons. * p < 0.05, **/##/&& p < 0.01, &&& p < 0.001. Isolated &, # denote ANOVA group effects of genotype and exercise, respectively. Data displayed as mean +/− S.E.M.
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Figure 7. EDL proteomic analysis of WT and GS, Sed (left) and VWR (right) mice. (A,E) Analysis of significantly up (red) and downregulated (blue) proteins as compared to WT samples. (B,F) Volcano plot analysis of significantly altered proteins. (C,G) Top ten altered GO Cellular process pathway analysis from identified significantly altered proteins with (D,H) network analysis of top ten pathways. (I) Supramolecular complex pathway heatmap of the most significantly up- and down-regulated proteins within the pathway when comparing GS Sed vs. WT Sed (column 1) and GS VWR vs. WT VWR (column 2). The complete pathway of all significantly altered proteins is shown in Supplemental Figure S11. For network analyses, connected nodes display 20% or more overlap of proteins between sets, thicker connections display increased overlap; darker nodes depict more significantly enriched protein sets; larger nodes depict larger protein sets. Only significantly altered proteins with p < 0.05 and a Log2 fold change > 1 were identified in the volcano plots. Only significantly altered proteins with p < 0.05 were included in pathway analysis. n = 3 for each cohort.
Figure 7. EDL proteomic analysis of WT and GS, Sed (left) and VWR (right) mice. (A,E) Analysis of significantly up (red) and downregulated (blue) proteins as compared to WT samples. (B,F) Volcano plot analysis of significantly altered proteins. (C,G) Top ten altered GO Cellular process pathway analysis from identified significantly altered proteins with (D,H) network analysis of top ten pathways. (I) Supramolecular complex pathway heatmap of the most significantly up- and down-regulated proteins within the pathway when comparing GS Sed vs. WT Sed (column 1) and GS VWR vs. WT VWR (column 2). The complete pathway of all significantly altered proteins is shown in Supplemental Figure S11. For network analyses, connected nodes display 20% or more overlap of proteins between sets, thicker connections display increased overlap; darker nodes depict more significantly enriched protein sets; larger nodes depict larger protein sets. Only significantly altered proteins with p < 0.05 and a Log2 fold change > 1 were identified in the volcano plots. Only significantly altered proteins with p < 0.05 were included in pathway analysis. n = 3 for each cohort.
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O’Connor, T.N.; Zhao, N.; Orciuoli, H.M.; Malik, S.; Brasile, A.; Pietrangelo, L.; He, M.; Groom, L.; Leigh, J.; Mahamed, Z.; et al. Voluntary Wheel Running Mitigates Disease in an Orai1 Gain-of-Function Mouse Model of Tubular Aggregate Myopathy. Cells 2025, 14, 1383. https://doi.org/10.3390/cells14171383

AMA Style

O’Connor TN, Zhao N, Orciuoli HM, Malik S, Brasile A, Pietrangelo L, He M, Groom L, Leigh J, Mahamed Z, et al. Voluntary Wheel Running Mitigates Disease in an Orai1 Gain-of-Function Mouse Model of Tubular Aggregate Myopathy. Cells. 2025; 14(17):1383. https://doi.org/10.3390/cells14171383

Chicago/Turabian Style

O’Connor, Thomas N., Nan Zhao, Haley M. Orciuoli, Sundeep Malik, Alice Brasile, Laura Pietrangelo, Miao He, Linda Groom, Jennifer Leigh, Zahra Mahamed, and et al. 2025. "Voluntary Wheel Running Mitigates Disease in an Orai1 Gain-of-Function Mouse Model of Tubular Aggregate Myopathy" Cells 14, no. 17: 1383. https://doi.org/10.3390/cells14171383

APA Style

O’Connor, T. N., Zhao, N., Orciuoli, H. M., Malik, S., Brasile, A., Pietrangelo, L., He, M., Groom, L., Leigh, J., Mahamed, Z., Liang, C., Protasi, F., & Dirksen, R. T. (2025). Voluntary Wheel Running Mitigates Disease in an Orai1 Gain-of-Function Mouse Model of Tubular Aggregate Myopathy. Cells, 14(17), 1383. https://doi.org/10.3390/cells14171383

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