Abstract
Skeletal muscle weakness in patients suffering from rheumatoid arthritis (RA) adds to their impaired working abilities and reduced quality of life. However, little molecular insight is available on muscle weakness associated with RA. Oxidative stress has been implicated in the disease pathogenesis of RA. Here, we show that oxidative posttranslational modifications of the contractile machinery targeted to actin result in impaired actin polymerization and reduced force production. Using mass spectrometry, we identified the actin residues targeted by oxidative 3-nitrotyrosine (3-NT) or malondialdehyde (MDA) adduct modifications in weakened skeletal muscle from mice with arthritis and patients afflicted by RA. The residues were primarily located in 3 distinct regions positioned at matching surface areas of the skeletal muscle actin molecule from arthritic mice and patients with RA. Moreover, molecular dynamics simulations revealed that these areas, here coined “hotspots,” are important for the stability of the actin molecule and its capacity to generate filaments and interact with myosin. Together, these data demonstrate how oxidative modifications on actin promote muscle weakness in RA patients and may provide novel leads for targeted therapeutic treatment to improve muscle function.
Keywords: Muscle Biology
Keywords: Rheumatology, Skeletal muscle
Oxidative modifications on actin promotes muscle weakness in rheumatoid arthritis patients, suggesting a potential therapeutic target to improve muscle function.
Introduction
Rheumatoid arthritis (RA) is one of the most prevalent chronic inflammatory diseases. Skeletal muscle weakness is a frequent complication in patients with RA; it has debilitating effects on the ability to work and leads to reduced quality of life for the afflicted individuals (1–3). Altered intrinsic muscle function, including a reduction in muscle strength without corresponding loss of muscle mass has been reported in patients with RA (2, 4–6). However, little molecular insight is available on RA-induced muscle weakness.
Oxidative stress arises from a disproportionate amount of reactive oxygen/nitrogen species (ROS/RNS), e.g., peroxynitrite (ONOO–) that has been implicated in the pathogenesis of RA (7–12). ONOO− can induce oxidative posttranslational protein modifications by nitrating tyrosine residues (13) and facilitate the formation of malondialdehyde (MDA) adducts on basic amino acids, such as histidine (13, 14). Increased levels of 3-nitrotyrosine (3-NT) and MDA adducts have been observed in rodent models with arthritis and in patients with RA (7, 12, 15–17). The ROS/RNS sources behind arthritis-induced oxidative stress are not fully established in skeletal muscle (18), but nitric oxide synthase (NOS), NADPH oxidases (NOX), and mitochondria are suggested downstream targets of proinflammatory cytokines in inflammatory processes (18–21). Skeletal muscle is composed of bundles of muscle fibers and each fiber consists of thousands of myofibrils that feature the sarcomeres with the actomyosin contractile machinery (18). Previous work in rodents indicate that arthritis-induced muscle weakness is associated with higher levels of oxidative modifications on actin (15, 16, 18, 22). However, details of how oxidative modifications of actin interfere with the force-producing machinery have remained elusive.
Here, we show that oxidative posttranslational modifications of skeletal muscle actin (α-actin) and myofibrils lead to impaired actin polymerization and decreased force production. Furthermore, using mass spectrometry (MS), we identified the actin 3-NT–modified residues as well as those carrying MDA in weakened skeletal muscle from mice with arthritis and from RA patients. These residues were predominantly located in 3 regions of the actin molecule, and remarkably enough the same regions were recognized in the samples from both the arthritic mice and RA patients. Polymerization studies and molecular dynamics simulations were carried out to analyze functional consequences and provide atomic details of actin after oxidative stress modifications in these regions. This demonstrated the importance of these regions for actin intra- and interdomain bonding and myosin interaction, and provides a molecular explanation for the observations made in arthritic mice and RA patients. Consequently, these regions should be useful starting points for the design of novel specifically targeted therapeutics to treat RA-associated muscle weakness.
Results
Muscle weakness in mice with arthritis.
To evoke arthritis, unilateral injections of complete Freund’s adjuvant (CFA) into the knee or ankle of mice were used (Figure 1A). In line with other arthritis models, increased levels of oxidative nitration markers (3-NT) were observed on muscle proteins in adjacent muscle (Figure 1, B and C, interosseous, and Figure 1, D and E, gastrocnemius) at peak inflammation, i.e., 2 weeks after CFA injections with an ankle or knee diameter twice as large as the control leg (Supplemental Figure 1, A and B; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.126347DS1). As compared with the control leg (Ctrl), the arthritic leg developed muscle weakness with both extensor digitorum longus (EDL, Supplemental Figure 1, C and D) and single muscle fibers from flexor digitorum brevis (FDB) producing lower ex vivo muscle-specific force (i.e., force per cross-sectional area [CSA]) (Figure 1F). There was no difference in the CSA between the nonarthritic and arthritic EDL or FDB muscle and the inflammation did not affect total body weight (Figure 1G and Supplemental Figure 1, E and F). Furthermore, the nonarthritic leg showed similar force production as muscle from untreated wild-type mice; hence, the induced arthritis does not interfere with contralateral force production (Supplemental Figure 1C).
Ca2+ release from the sarcoplasmic reticulum (SR) enables contraction by uncovering active sites on actin for myosin binding (23). Thus, the higher the intracellular free Ca2+ concentration ([Ca2+]i), the greater the force generated until saturation of [Ca2+]i and all actomyosin interactions are activated. However, at the stimulation frequencies used, no difference in tetanic [Ca2+]i or Ca50 ([Ca2+]i at 50% Pmax, 0.8 ± 0.2 vs. 0.7 ± 0.2 μM; not significant) was found between arthritis-induced and Ctrl muscle fibers (Figure 1, H and I). This indicates that SR Ca2+ release and myofibrillar Ca2+ sensitivity are functioning normally in fibers from arthritis muscles.
Caffeine treatment (5 mM) and high stimulation frequency (120 Hz) effectively release all Ca2+ stored in the SR and tetanic [Ca2+]i will reach a level high enough to maximally activate the contractile machinery (24). Indeed, the presence of caffeine at 120-Hz stimulation potentiated SR Ca2+ release (Figure 1J), but had no effect on the force production of either control fibers or the CFA-treated fibers (Figure 1K). Caffeine enhanced SR Ca2+ release in control muscle fibers did not have any notable effect on force production because the tetanic force prior to caffeine application is close to maximal. That the lower force in CFA-treated muscle was not improved by caffeine exposure shows that the weakness is the result of impaired myofibrillar function, rather than impaired SR Ca2+ release or reduced SR Ca2+ storage. Thus, CFA-induced muscle weakness appears to be the result of defects in the contractile machinery.
Declined myofibrillar force and compromised filament formation.
Because muscle weakness is associated with oxidative stress (15, 16, 18, 22, 25–27), we investigated whether inducing oxidative modifications of individual myofibrils (Figure 2A) interfered with force production. Treatment with 5-amino-3-(4-morpholinyl)-1,2,3-oxadiazolium chloride (SIN-1), an NO and O2−• donor that forms ONOO− (28), resulted in markedly weaker myofibrils than untreated myofibrils (Figure 2, B and C), as measured with an atomic force cantilever (16). To avoid formation of nitrosylated cysteine residues, dithiothreitol (DTT) was present during these measurements, and consequently the SIN-1–treated myofibrils showed increased levels of oxidative nitration (3-NT) due to the presence of ONOO− (Figure 2D).
A major component of myofibrils is filamentous actin (F-actin) (29), which is formed by polymerization of monomeric actin (G-actin). The polymerization process results in formation of asymmetric helical actin filaments, each characterized by a fast (barbed) and slow (pointed) polymerizing end (30) and by extensive structural cooperativities coupled to ATP hydrolysis and interaction with filament-binding proteins (30–33). Net assembly of ATP-bound G-actin occurs at barbed ends and is followed by nucleotide hydrolysis and subsequent structural transitions of the newly added subunits (33). At steady-state condition, net dissociation of the ADP-carrying monomers occurs from the pointed end. Consequently, the filament is polymorphic, structurally representing an ensemble of different states (34) and with each actin subunit in contact with 4 other subunits, the structure is highly combinatorial and susceptible to protein modification and various molecular interactions.
To investigate whether oxidative modification of G-actin by SIN-1 affects the polymerization process, G-actin was preincubated with SIN-1 and polymerization was then initiated by addition of salt (MgCl2 + KCl) under standardized conditions in the presence of DTT (Supplemental Figure 2, A and B). We found the rate of polymerization of the oxidatively modified actin to be significantly slower than that of unmodified actin (Figure 2, E and F), which is in agreement with previous reports (35, 36). Moreover, the effect of SIN-1 was dose-dependent, as demonstrated by gradual reduction of both filament formation rate and final steady-state polymerization level (Figure 2, G and H). Hence, the polymerization capacity of the modified actin was drastically compromised by the SIN-1 treatment. Prolonged incubation (48 hours) at room temperature after initiation of polymerization led to extensive decline in the steady-state level of F-actin of samples exposed to SIN-1 compared with control samples (31% and 7%, respectively). This suggests that ADP-actin dissociating from the filament pointed end under these conditions exhibits impaired capacity to undergo nucleotide exchange and be recharged with ATP for another round of polymerization, and/or that filaments assembled from modified actin were inherently more unstable than filaments consisting of unmodified subunits.
The oxidative modifications target 3 distinct regions of the actin molecule.
To explore how oxidative modifications of myofibrillar actin and of the isolated protein cause decreased force production and impaired polymerization, MS was used to identify the location and modification of the altered amino acid residues. This approach identified 2 variants of oxidative alterations, 3-NT (NO2; +46 Da) and MDA (C3H3O; +54 Da) consistently occurring in myofibril actin, the purified protein, and in skeletal muscle actin from CFA-treated mice (Supplemental Table 1). Important in this context is that the amino acid sequence of α-actin from mice, rabbits, and humans is identical (Supplemental Table 2). The positions of the 3-NT– and MDA-modified amino acids in the crystal structure of ATP-bound actin (Figure 3A) are visualized in Figure 3, B–D, and all modifications of the 3 different samples are listed in (Supplemental Table 1).
Remarkably, a majority of the possible MDA and 3-NT modifications in α-actin from CFA mice and the SIN-1–treated purified protein were either localized to identical positions or in close proximity of each other. The localization similarity suggests that the conserved actin structure exposes distinct regions sensitive to oxidative stress (Figure 4, A–C). The first such “hotspot” was located in subdomain 1 (SD1), where residues H101, Q360, and Y362 underwent MDA, MDA, and 3-NT modifications, respectively (Figure 4A). The second region found to be targeted in all actin samples resides in SD2 (Figure 4B) where H40, Q41, and Y53 went through MDA, MDA, and 3-NT alterations, respectively, which all are likely to affect the flexing of the polypeptide chain proposed to occur upon ATP hydrolysis (37) and actin polymerization (38). Moreover, H40 and Q41 were located in the so-called DNase-binding loop (D-loop), which comprises residues 38–53 and plays a critical role in longitudinal intersubunit contacts in the filament (30, 38) and partakes in the interaction with myosin (39). Consistent with these observations, residue Y53 has previously been shown to be accessible for nitration in vitro by ONOO− (40), and posttranslational modification by phosphorylation of this residue is known to cause slower polymerization and impaired filament stability (41–43).
The third hotspot was localized to Y294, N296, and N297 (modified by 3-NT, MDA, and MDA, respectively) in SD3 (Figure 4C). This was the exact location and kind of oxidative modifications (3-NT and MDA) we found in α-actin from mice with CFA-generated arthritis and SIN-1–treated myofibrillar actin. In addition, the SIN-1–treated G-actin showed modifications in this site (Y294/3-NT and N297/MDA), again pointing to the conserved nature of the actin molecule and its susceptibility to oxidative modification in certain specific regions irrespective of the species origin or preparation of the protein. We conclude that the α-actin molecule has 3 oxidative hotspots formed by a few clustered amino acid residues accessible for MDA and 3-NT modification.
The nonmuscle β/γ-actin isoforms are also expressed in skeletal muscle, but generally are not involved in the contractile machinery (44–46). Prior to MS analysis, actin was digested with trypsin, which created 11 unique peptides when comparing skeletal muscle α-actin (ACTS) and β/γ-actin (ACTB/G). Thus, trypsin digestion enables identification of modifications specific for β/γ-actin in skeletal muscle from CFA mice. Eight modified residues were identified and 6 of them were located in peptides unique for β/γ-actin (Supplemental Table 3). MS analysis of nonmuscle β/γ-actin from the knee joint of CFA mice was also performed. Six modifications (SD1: H87/MDA, Q360/MDA*, and Y362/3-NT*; and in SD3: Y218/3-NT, Y294/3-NT*, and N296/MDA*) were identified. Two of them were exclusive for β/γ-actin and 4 of them (*) matched modified residues found in α-actin (Supplemental Table 3). This shows that 3-NT and MDA modifications are not stringently restricted to α-actin in skeletal muscle from mice with arthritis, but also are present in β/γ-actin in both muscle and nonmuscle tissue.
Human RA patients exhibit muscle weakness and matching oxidative hotspots on actin.
We next investigated if the findings from mice with arthritis were translatable to human patients with RA. Female patients with seropositive RA on stable disease-modifying antirheumatic drug (DMARD) treatment without or in combination with stable low-dose glucocorticoids and displaying a moderate disease activity (average disease activity score [DAS] of 3.3 ± 0.4; n = 11, 53.3 ± 1.5 years old, 8.9 ± 0.4 years disease duration) (Figure 5A and Supplemental Table 4) had significantly weaker leg muscles than age- and weight-matched healthy women (Figure 5B).
The quadriceps CSA of patients with RA was not significantly different from the quadriceps CSA of healthy individuals (Figure 5C). Further, there were no significant differences in total amount of daily physical activity or the degree of physical intensity (47) performed between patients with RA and healthy control individuals (Figure 5, D and E). Thus, the force decline cannot be explained by a decrease in muscle mass or general muscle inactivity. Instead, the data suggest that the muscle weakness exhibited in RA patients is the result of arthritis-induced intrinsic muscle dysfunction, as observed in mice with arthritis (Figure 1F).
Muscle biopsies from RA patients were analyzed with MS to identify oxidative modifications and revealed 11 consistent oxidative modifications on actin in total (in SD1: H87/MDA, H101/MDA, and Q360/MDA; in SD2: H40/MDA, Q41/MDA, and Q59/MDA; in SD3: H275/MDA, Y294/3-NT, and N297/MDA; and in SD4: Y218/3-NT and Q246/MDA) (Figure 5F). Intriguingly, these modifications were located at matching hotspots, and in some cases even at identical residues in α-actin from mice with arthritis (Figure 5, G–I). Specifically, in hotspot 1: in SD1, H101/MDA and Q360/MDA; in hotspot 2: SD2, H40/MDA; and in hotspot 3: in SD3, Y294/3-NT and N297/MDA were found at precisely the same location in α-actin from mice with arthritis and patients with RA (Figure 5, G–I, red ribbons). The “conserved” location of these α-actin hotspots for oxidative modification reflects the highly conserved nature of all vertebrate actin and illustrates the strength of the mouse model as used above for understanding molecular mechanisms behind human diseases where conserved proteins play a crucial role in the pathogenesis.
Residues important for actin filament formation, stability, and myosin interaction are 3-NT and MDA modified in RA patients.
Molecular dynamics simulations (48) of F-actin in the ADP-bound form were carried out to reveal structural details of the polymer at the atomic level, particularly with respect to the modified residues identified from patients with RA. Root mean square fluctuation (RMSF) assesses flexibility of the different domains (Figure 6A); SD1 and SD3 had limited flexibility (except for the residues at the N-terminus); the flexible D-loop region in SD2 showed a large RMSF and holds the second hotspot including the MDA-modified H40 and Q41; SD4 had 2 regions of higher RMSF, including Q246/MDA. The other modified residues were located in less dynamic regions. The simulations of solvent-accessible surface area (SASA) suggest solvent exposure of MDA-modified H40, Q43, Q246, and Q360 (Figure 6B), in accordance with those found to be MDA modified and identified by MS of biopsies from RA patients. Cryo-electron microscopy analyses have highlighted these residues as important for intramolecular bonding (interactions within the actin monomer), filament intersubunit interactions, and for actomyosin interactions during the power stroke and coupled force production (30, 33, 39, 49). Specifically, H40 and Q41 in the D-loop of SD2 are involved in longitudinal bonding with residues in SD1 and SD3 in the adjacent subunit towards the pointed end of the filament, and lateral interactions with SD3 in the neighboring subunit across the filament axes (30, 39). Additionally, residue Q246 in SD4 interacts with residues in the adjacent subunit (SD3) at its pointed end, further contributing to filament stability (Figure 6C).
The MDA-modified H275 and N297, and Y294/3-NT are all proximal to a tight electrostatic network with the D-loop in the adjacent subunit formed by H173, D286, and E270 (33). Thus, modification of one or more of these residues could interfere with longitudinal intramolecular bonding. In contrast to the residues discussed above, H275, N297, and Y294 that are all in the less dynamic SD3 were found to be buried throughout the whole simulation (Figure 6B). The biochemistry that makes these residues accessible to chemical modifications despite not being annotated as solvent-accessible remains elusive. However, the local physico-chemical microenvironment in the molecule, including the capacity to propagate tyrosyl radical intermediates and lipid peroxyl radicals, is known to influence the susceptibility of residues to modifications, and hence buried tyrosines can be accessible independently of SASA (13).
Finally, examination of close contacts (hydrogen and non–hydrogen bonds) was performed to further expose what functional effects MDA and 3-NT modifications might impose on the rest of the protein. It was found that H101, H275, and Y218 would lose hydrogen bonds with drastic consequences for their interaction with nearby residues (Figure 6D). Furthermore, each of the 11 residues identified with oxidative modifications in skeletal muscle actin from patients with RA exhibits approximately 35–95 close contacts between non-hydrogen atoms separated by less than 4 Å (Figure 6E), and altering the local chemical environment by the bulky covalent MDA (C3H3O) or 3-NT (NO2) is likely to dramatically impede these contacts by creating local steric restrictions and triggering of conformational changes (Figure 6, F–H). Together, the above results demonstrate the presence of oxidative modifications of residues in skeletal muscle actin from patients with RA, which are critical to actin filament stability and myosin interaction, and therefore represent strong contributing causes to the muscle weakness from which these patients suffer.
Discussion
Impaired muscle capacity has a negative influence on the quality of life of RA patients and is a contributing factor to long-term sick leaves associated with RA and therefore important also from a socioeconomic perspective (1–6, 50, 51). Here, we show that oxidative stress–induced intrinsic muscle dysfunction is a major contributor to muscle weakness associated with RA and is specifically due to modifications of actin with impeding consequences for actin filament formation, stability, and actomyosin force generation. The modified residues are found in discrete regions of the actin molecule, referred to as oxidative hotspots, that provide molecular insights into how oxidative stress promotes skeletal muscle weakness in RA without loss of muscle mass or reduced overall physical activity in the patients.
With 3-NT and MDA oxidative modifications being nonenzymatic mechanisms, the selectivity for the targeted residues on actin in vivo is not evident (13, 52, 53). There is currently no consensus regarding the selectivity of oxidative modifications. However, the local microenvironment and the structural features of the protein are believed to affect the selectivity, i.e., residues located near charged amino acids or on loop structures appear more prone to become modified (13, 52, 54, 55), which harmonizes with our results. Supplemental Figure 3 shows that our hotspots are primarily located in loop regions and that the modifications were all closely located to charged amino acid residues, i.e., to arginine (R), lysine (K), aspartic acid (D), glutamic acid (E), and histidine (H). Due to the short biological half-life of ROS/RNS (e.g., ~5–20 ms for ONOO−, ~1 μs for O2−•), the protein also needs to be in close vicinity of the subcellular sites of ROS/RNS generation for the modification to occur (52, 56). Indeed, NOX2 and the MICAL flavoprotein monooxygenase has been shown to interact with actin and directly affect actin dynamics and cause instability of F-actin, respectively (57–59). These enzymes diffusely release ROS/RNS and the actin isoforms represent only one set of proteins that are modified by these ROS/RNS generators. Thus, the specificity and selectivity of these ROS/RNS sources for particular actin residues remain poorly understood.
In addition to actin, other proteins directly involved in skeletal muscle sarcomere function, such as myosin, tropomyosin, and troponin might be targeted by oxidative stress that may interfere with muscle force production. Nevertheless, in line with previous reports (15, 16, 22, 60), our results emphasize actin as a prime target for intracellular oxidative stress modifications. This appears valid also for nonmuscle actin with 3-NT and MDA modifications found in joints from arthritic mice (Supplemental Table 3). Moreover, specific actin oxidation has been reported in brain regions from patients with Alzheimer’s disease, in skin biopsies from Friedrich’s ataxia patients (61, 62), and in spinal cords from a mouse model of inflammatory pain (63). Moreover, the oxidative modifications identified here were consistently present on α-actin from RA patients on DMARD treatment in combination with or without low doses of glucocorticoids (see Supplemental Table 4). The patients in our study used conventional synthetic DMARDs (mostly methotrexate) with a broad immunosuppressive activity, and biological DMARDs that target a specific protein structure with proinflammatory activity in the attempt to lower the rheumatic disease activity, e.g., rituximab (Mabthera), etanercept (Embrel), abatacept (Orencia), and tocilizumab (RoActerma). This implies that muscle weakness is a comorbidity that cannot be counteracted by DMARDs and glucocorticoids alone and suggests that supplemental pharmacological treatment targeted to improve intrinsic muscle function is needed.
Currently, there is a serious deficit in available clinical therapeutic approaches to counteract muscle weakness. However, the data presented here provide new leads for the development of such targeted treatments. It is well known that ROS/RNS have both beneficial (23, 64–66) and detrimental (25, 67–69) effects on skeletal muscle function. Antioxidant treatment of illnesses related to oxidative stress ought therefore to be directed towards the negatively affected protein functions, instead of having a broad-scoped effect on ROS/RNS signaling, as is common with antioxidant treatment today. Hence, the use of general antioxidants, e.g., vitamin E, vitamin C, and N-acetylcysteine (NAC), which will localize to the intracellular space and interact with surrounding molecules in a nonspecific and uncontrolled manner, is a likely reason for the failure of numerous clinical trials (70–72), including a recent attempt to reduce RA disease activity with NAC (73). Therefore, the aim should be to specifically target proteins identified as being negatively affected by the oxidative stress. In this regard, a SOD2/catalase mimetic (EUK-134) that supposedly targets mitochondria has shown promising effects in the attempt to prevent muscle weakness in rats with arthritis (15).
Here, we have identified a limited set of oxidative hotspots in actin that seriously interfere with its function when it has undergone 3-NT and MDA modifications, 2 common markers of oxidative stress. Thus, to develop actin-targeted compounds with the capacity to reduce the local chemical environment, analogous to targeted synthetic DMARDs, which are designed to attack a particular molecular structure, may be a way to counteract RA-induced muscle weakness. Notably, oxidative stress–induced loss of force production without a reduction in muscle mass has been reported in rodent models of heart failure and cancer, suggesting that intrinsic muscle weakness might be a present comorbidity across several chronic diseases. Moreover, because actin is a highly conserved protein essential to all cells and targeted by oxidative stress in both muscle and nonmuscle tissue, the development of an actin-directed drug has the potential to be of wider use than to improve muscle function in patients suffering from muscle weakness.
Methods
Study approval.
All animal experiments complied with the Swedish Animal Welfare Act, the Swedish Welfare ordinance, and applicable regulations and recommendations from the Swedish authorities. The study was approved by the Stockholm North Ethical Committee on Animal Experiments (N108/13 and N273/15). All human experiments were approved by the regional ethical review board in Stockholm (2014/516-31/2) and complied with the Declaration of Helsinki. Oral and written informed consent were obtained from all patients and control subjects prior to participation in the study.
Animals.
In all studies, mice were handled and euthanized in accordance with approved institutional, national, and international guidelines. All efforts were made to follow the Replacement, Refinement, and Reduction guidelines. Arthritis was induced in female C57BL/6JRj (Janvier) mice by intra-articular injection of CFA (10 mg/ml, Chondrex) in the ankle (5 μl) or in the knee joint (10 μl). Injections were performed on animals anesthetized with isoflurane. Mice were housed at the local animal facility with a 12-hour light/dark cycle, and were provided with standard rodent chow and water ad libitum. Mice were monitored daily to ensure that a sufficient health and nutritional status was maintained. Knee and ankle joint diameters were measured with a caliper every other day. Mice were sacrificed 14 days after injection by cervical dislocation.
Patients with RA and healthy controls.
Eleven women with seropositive RA diagnosis according to the criteria of the American College of Rheumatology (ACR, 1987) participated in the study. All patients were on stable antirheumatic treatment. RA-disease activity was determined by calculating DAS. Detailed information about all patients included in this study can be found in Supplemental Table 4. The control group consisted of 11 age-matched (age range 45–62 years) women without inflammatory disease. All participants were subjected to Biodex force measurements and a CT scan of the legs, and an accelerometer analysis of their daily activity. Biopsies of the quadriceps vastus lateralis muscle were obtained from a subset of the RA patients by the Bergström percutaneous needle biopsy technique (74).
Ex vivo force measurements.
EDL muscles from both legs (arthritic and nonarthritic) were rapidly excised under a microscope after sacrifice, as described previously (75). Muscles were kept in Tyrode solution (temperature was set at 31°C) containing (in mM): 121 NaCl, 5 KCl, 1.8 CaCl2, 0.4 NaH2PO4, 0.5 MgCl2, 24 NaHCO3, 0.1 EDTA, and 5.5 glucose, gassed with 95% O2/5% CO2 to achieve a bath pH of 7.4. The muscles were mounted between a force transducer and an adjustable holder (World Precision Instruments). Muscles were stimulated with supramaximal current pulses (0.5-ms duration; 150% of current required for maximal force response) via plate electrodes lying parallel to the muscles. Muscles were set to the length at which tetanic force was maximum (optimal length L0) and the force-frequency relationship was determined using the following stimulus frequencies: 1, 20, 30, 40, 50, 70, 100, 120, and 150 Hz (300-msec tetanic duration). At least 1 minute of recovery separated electrical stimulations. Electrically stimulated force production was expressed as absolute force (mN) and as specific force (kN/m2). Muscle CSA was assessed by dividing muscle mass by the product of muscle length and muscle density (1.06 g/cm3).
Single intact FDB fibers were obtained by dissection and thereafter mounted in a chamber between a force transducer and an adjustable holder, as described previously (16). Fibers were superfused with Tyrode bubbled with 95% O2/5% CO2 to achieve a bath pH of 7.4. The fiber length was adjusted to obtain maximal tetanic force. The diameter of the fiber at this length was used to calculate the CSA. The fiber was stimulated with supramaximal electrical pulses (0.5-ms in duration) delivered via platinum electrodes placed along the long axis of the fiber. [Ca2+]i was measured with the fluorescent Ca2+ indicator Indo-1 (Thermo Fisher Scientific). The mean fluorescence of Indo-1 at rest and during tetanic contractions was measured and converted to [Ca2+]i using an intracellularly established calibration curve (76).
Immunoblots.
Muscles (gastrocnemius, tibialis anterior, and interosseous) were homogenized in buffer containing (in mM): 10 Tris-maleate, 100 KCl, 2 MgCl2, 2 EGTA, 2 Na4P2O7, 1 NaVO4, 25 KF, and protease inhibitor (Roche, 1 tablet/50 ml). The lysates were cleared by 10-minute centrifugation at 1000 g (4°C). Equal amounts of protein were separated by electrophoresis and transferred onto membranes (Immobilon-FL, Millipore). Membranes were incubated with primary antibody (anti–3-NT, ab52309, Abcam; anti-MDA, ab2764-2, Abcam) and then washed and incubated with infrared-labeled secondary antibody (IRDye 680 and IRDye 800 LI-COR Biosciences). Immunoreactive bands were analyzed with the LI-COR Odyssey Infrared Imaging System and normalized against total protein or actin.
Myofibrillar force measured with atomic force cantilevers.
Myofibrils were isolated from rabbit psoas muscle as described previously (16, 77) and suspended in rigor buffer (10 mM imidazole, 100 mM KCl, 2 mM MgCl2, 1 mM EGTA, pH 7.2) with DTT (1 mM). Myofibrils were incubated with SIN-1 (10 mM, 10 minutes) and transferred to the experimental chamber placed on the top of an inverted microscope equipped with a system of atomic force cantilevers. The chamber was washed with rigor buffer followed by relaxing buffer (pH 7, pCa2+ 9; 20 mM imidazole, 7.2 mM EGTA, 13.74 μM CaCl2, 5.4 mM MgCl2, 68.7 mM KCl, 5.6 mM ATP, 14.4 mM creatine phosphate). An atomic force cantilever with a known stiffness was attached to one end of a myofibril and a glass needle to the other end of the myofibril acted as a force transducer. The length of the myofibril sarcomere was adjusted to 2.8 μm and contraction was induced by addition of activating buffer with pCa2+ 4.5 (20 mM imidazole, 7.2 mM EGTA, 7 mM CaCl2, 5.4 mM MgCl2, 52.3 mM KCl, 5.7 mM ATP, 14.4 mM creatine phosphate, pH 7). The deflection of the cantilever due to myofibrillar contraction was measured by shining a laser light on the cantilever, which then was translated to force in kN/μm2, as described previously (16, 77).
Actin polymerization assay.
Actin polymerization was measured using the pyrenyl assay (78). G-actin (Cytoskeleton, AKL99) in 5 mM Tris-HCl (pH 7.6 at room temperature) containing 0.1 mM CaCl2, 0.5 mM ATP, and 0.5 mM DTT (G-buffer) was incubated with SIN-1 at indicated concentrations for 15 minutes at room temperature. Actin concentration was determined by absorbance measurement at 290 nm using E = 0.63 ml/mg × cm as described by Houk and Ue (79). Ten minutes prior to initiation of polymerization, EGTA and MgCl2 were added to final concentrations of 0.2 mM and 50 μM, respectively, to replace actin-bound Ca2+ with Mg2+ (80). Polymerization was induced by addition of MgCl2 and KCl to 1 and 100 mM, respectively (final concentrations). The assay was performed in 96-well plates with 8 μM actin in the presence of 4% pyrene-actin and in a final volume of 130 μl (accomplished by pre-addition of G-buffer). The process was followed by excitation at 365 nm and emission detection at 410 nm (Fluoroskan II, Labsystems). Steady-state fluorescence was measured 24 and 48 hours after polymerization initiation.
MS analysis.
MS was performed on purified rabbit skeletal muscle actin (Cytoskeleton, AKL99), isolated myofibrillar actin from rabbit psoas muscle (myofibrillar actin), actin from CFA mice, and actin from patients with RA (human RA actin). Samples were digested by trypsin (overnight), cleaned on a C-18 HyperSep plate, and dried in a speedvac centrifugal evaporator. The peptides were then separated by chromatography in a C18 column (Silica Tip 360 μm OD, 75 μm ID, New Objective) connected to the UltiMate 3000 RSLCnano chromatography system (Thermo Fisher Scientific). Peptides ionized by electrospray were injected into an Orbitrap QExactive Plus mass spectrometer (Thermo Fisher Scientific). The survey MS spectrum was acquired at the resolution of 60.000 in the range of m/z 200–2,000.
MS/MS data were extracted with RawtoMGF software and analyzed using Mascot (Matrix Science, version 2.5.1) and X!Tandem (thegpm.org; version CYCLONE 2010.12.01.1) software. Fragment ion mass tolerance and parent ion tolerance were set to 0.020 Da and 9.0 PPM, respectively. Variable modifications of amino acids were specified as Tyr-nitration, Cys-nitrosylation, and MDA modifications, with fixed modifications formed by the sample preparation specified as Cys-carbamidomethylations. Carbonylation (DNP) could not be detected as it requires a targeted approach with labeled reaction sites. Validation of the MS/MS-based peptide and protein identifications was performed in Scaffold (version Scaffold_4.4.5, Proteome Software Inc.) and protein probabilities were assigned by the protein prophet algorithm (81). All posttranslational modifications were validate and localized by the Scaffold PTM software. The UCSF Chimera program (82) version 1.1rc was used to visualize the posttranslational modifications identified with MS. The monomeric G-actin model in its ATP-bound state was obtained from the 2ZWH (RSCS Protein Databank) protein crystal structure. All modifications are presented with their 1-letter code and specifier. The homology between the skeletal muscle actin sequences was confirmed with ClustalW (83) sequence alignment (EMBL-EBI).
Human accelerometer and force measurements.
The daily activity of patients with RA and control subjects was recorded with accelerometers (GT, ActiGraph). Accelerometer data were collected from the subjects over 7 consecutive days and analyzed with Actilife software. Total daily activity was calculated by dividing the total minutes of activity by the validated wearing period (e.g., >90 minutes of consecutive inactivity were classified as non-worn periods and were filtered out from data analysis by using a previously defined algorithm) (81). The degree of activity was categorized as sedentary, light, moderate, or vigorous (47). A Biodex System 4 Pro (Biodex Medical Systems Inc.) was used to measure isometric force from quadriceps femoris of RA patients and healthy control persons. The subjects were carefully positioned in the Biodex chair and performed 3 repetitions of maximal isometric contractions (at knee angle 120°). The specific force (kN/m2) was calculated by converting the peak torque (Nm) into kN by using the defined length of the cantilever in which the leg was fixed, which was then divided by the CSA of the quadriceps muscle as determined by a CT scan of the leg. ImageJ (NIH) was used to measure CSA of the quadriceps at the intermediate of the femur bone.
Molecular dynamics simulations.
The 3.3-Å resolution (PDBe: 2ZWH) structure of rabbit skeletal muscle F-actin with ADP and Ca2+ was used as starting structure for the molecular dynamics simulations. This structure includes all amino acid residues and has previously been used in molecular dynamics–simulation studies (84–86). Simulations and analysis were performed by the Gromacs simulation package (87) version 5.1.2. The actin structure was solvated in a truncated dodecahedron box so that the minimal distance between any protein atom and the edge of the box was 1.0 nm and the TIP3P (88) water model was applied. Fifty-two K+ and 39 Cl− ions were added to neutralize the protein and mimic an ionic strength of 0.15 M. The CHARMM36 force field (89) was applied for all atoms except Ca2+, K+, and Cl− for which force-field parameters were obtained from previous studies (90–92). Prior to the simulations, internal constraints were relaxed by energy minimization until the maximal force on individual atoms was smaller than 100 kJ/mol/nm. The system was equilibrated for 5 ns before data collection for analysis. During the molecular dynamics runs, the LINCS (93) algorithm was used to constrain the lengths of bonds. The temperature was kept constant at 300K by use of the velocity-rescaling thermostat (94) (τT = 0.1 ps). The pressure was coupled to an external bath with the Parrinello-Rahman algorithm (95) (Pref = 1 bar, τP = 1 ps). Van der Waals forces were truncated at 1.0 nm with a plain cutoff and long-range dispersion corrections were applied for the energy and pressure. Long-range electrostatic forces were treated using the particle mesh Ewald method (96, 97). Four replicates were run for 100 ns each. Analysis of the simulations was carried out by automatic tools available in Gromacs. Error estimate is a block averaging method and the error estimate is the variance between averages of all blocks. RMSF of the Cα atoms were calculated as averages of 2-ns blocks for the last 60 ns of the simulation time for the four 100-ns simulations.
Statistics.
The data are presented as mean ± SEM. For all statistical analysis the normal distribution was tested with a Shapiro-Wilk test and equal variance was tested with Brown-Forsythe test. In case of no equal variance a Mann-Whitney rank-sum test was applied. Differences among experimental groups were analyzed by 2-tailed Student’s t test or analysis of variance (ANOVA) with appropriate post hoc and multiple-comparisons tests. P values less than 0.05 were considered significant (*P < 0.05; **P < 0.01; ***P < 0.001). All statistical analysis was performed with help of Sigma plot 13.0 (Systat Software) or Prism 7.0 (GraphPad).
Author contributions
CIS, NB, RK, TY, BCGK, RF, PT, TG, and JTL designed and conceptualized the research. MMS, MP, BA, KO, AJC, EA, ML, TRL, ER, KÄM, KS, SA, BCGK, and EK performed research. MMS, MP, AJC, EA, TRL, ER, PT, DER, RK, RF, TG, and JTL analyzed data. MMS, KÄM, KS, and CIS provided the animals. MMS, MP, AJC, EA, TRL, ER, PT, DER, RK, RF, TG, and JTL performed statistical analyses and power calculations. MMS, RK, and JTL wrote the original draft of the manuscript. All authors reviewed and edited the manuscript.
Supplementary Material
Acknowledgments
The authors thank Akos Vegvari, Alexey Chernobrovkin, and coworkers at the Proteomics Biomedicum at Karolinska Institutet for assistance with the mass spectrometry analyses. The study has been supported by The Swedish Research Council (to JTL), Reumatikerfonden (to JTL), KI grant for rheumatology research (to EK), Knut and Alice Wallenberg Foundation (to CIS), and the Carl Trygger Foundation (to RK) for studies of actin polymerization. The computations were performed on resources provided by SNIC through LUNARC, the center for scientific and technical computing at Lund University under Project SNIC 2018/3-47.
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Version 2. 05/02/2019
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Footnotes
Conflict of interest: The authors have declared that no conflict of interest exists.
Copyright: © 2019 American Society for Clinical Investigation
Reference information: JCI Insight. 2019;4(9):e126347. https://doi.org/10.1172/jci.insight.126347.
Contributor Information
Maarten M. Steinz, Email: maarten.steinz@ki.se.
Malin Persson, Email: malincharlottpersson@gmail.com.
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