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American Journal of Physiology - Cell Physiology logoLink to American Journal of Physiology - Cell Physiology
. 2016 Nov 23;312(2):C155–C168. doi: 10.1152/ajpcell.00269.2016

Renin-angiotensin-aldosterone system inhibitors improve membrane stability and change gene-expression profiles in dystrophic skeletal muscles

Jessica A Chadwick 1, Sayak Bhattacharya 1,2, Jeovanna Lowe 1, Noah Weisleder 1,2, Jill A Rafael-Fortney 1,
PMCID: PMC5336592  PMID: 27881412

Abstract

Angiotensin-converting enzyme inhibitors (ACEi) and mineralocorticoid receptor (MR) antagonists are FDA-approved drugs that inhibit the renin-angiotensin-aldosterone system (RAAS) and are used to treat heart failure. Combined treatment with the ACEi lisinopril and the nonspecific MR antagonist spironolactone surprisingly improves skeletal muscle, in addition to heart function and pathology in a Duchenne muscular dystrophy (DMD) mouse model. We recently demonstrated that MR is present in all limb and respiratory muscles and functions as a steroid hormone receptor in differentiated normal human skeletal muscle fibers. The goals of the current study were to begin to define cellular and molecular mechanisms mediating the skeletal muscle efficacy of RAAS inhibitor treatment. We also compared molecular changes resulting from RAAS inhibition with those resulting from the current DMD standard-of-care glucocorticoid treatment. Direct assessment of muscle membrane integrity demonstrated improvement in dystrophic mice treated with lisinopril and spironolactone compared with untreated mice. Short-term treatments of dystrophic mice with specific and nonspecific MR antagonists combined with lisinopril led to overlapping gene-expression profiles with beneficial regulation of metabolic processes and decreased inflammatory gene expression. Glucocorticoids increased apoptotic, proteolytic, and chemokine gene expression that was not changed by RAAS inhibitors in dystrophic mice. Microarray data identified potential genes that may underlie RAAS inhibitor treatment efficacy and the side effects of glucocorticoids. Direct effects of RAAS inhibitors on membrane integrity also contribute to improved pathology of dystrophic muscles. Together, these data will inform clinical development of MR antagonists for treating skeletal muscles in DMD.

Keywords: Duchenne muscular dystrophy, mineralocorticoid receptor, spironolactone, eplerenone, microarray, sarcolemma


duchenne muscular dystrophy (DMD) is a fatal genetic muscle disease that results in progressive degeneration of skeletal and cardiac muscles and affects 1:5,000 boys (20). DMD is caused by complete absence of the dystrophin protein, which stabilizes muscle membranes by linking the subsarcolemmal cytoskeleton to a transmembrane glycoprotein complex. Currently, the standard-of-care treatment for DMD is prednisone, a glucocorticoid that delays loss of ambulation by an average of 2 yr but has numerous serious side effects (6). Glucocorticoids are widely used to treat both acute and chronic inflammation because of their anti-inflammatory and immunosuppressive effects; however, the underlying mechanism by which these glucocorticoid receptor (GR) agonists benefit skeletal muscles is not fully understood. Several laboratories have demonstrated that prednisone even worsens damage to both skeletal and cardiac muscles in DMD mouse models (13, 14, 31).

The angiotensin-converting enzyme inhibitor (ACEi) lisinopril and the mineralocorticoid receptor (MR) antagonist spironolactone are FDA-approved drugs with a long history of safety and efficacy in treating heart diseases and have minimal side effects (9, 21). Lisinopril and spironolactone indirectly and directly, respectively, target the steroid hormone MR through the renin-angiotensin-aldosterone system (RAAS). Lisinopril is now recommended for use in DMD patients starting at the age of 10 yr (19), and the addition of an MR antagonist has recently been demonstrated to further slow the progression of cardiomyopathy in DMD patients (27).

Our group has previously shown that combined treatment with lisinopril and spironolactone improved skeletal muscle function and pathology, in addition to the heart, in the utrn+/−;mdx (“het”) mouse model of DMD (26). Mice treated with a combination of these drugs showed 80% of normal muscle force generation in both respiratory and limb muscles compared with only 40% of normal force observed in untreated het mice (26). Treatment also led to a significant reduction in ongoing skeletal muscle damage, but a direct effect on membrane integrity has not been tested.

We recently showed that MRs, not previously investigated in skeletal muscles, were present in limb and respiratory muscles from wild-type and dystrophic mice (8). The endogenous MR agonist aldosterone was able to induce a large number of gene-expression changes in normal differentiated human myotubes, supporting MR functions as a steroid hormone receptor in skeletal muscles (8). Together, these data suggest that ACEi and MR antagonists can have a direct therapeutic effect on skeletal muscles.

Inflammation exacerbates muscle damage and contributes to myonecrosis in dystrophic muscles (7). Previous studies have shown that treatment with anti-inflammatory glucocorticoids can shift macrophages from a proinflammatory M1 phenotype to an anti-inflammatory M2 phenotype and improve muscle pathology (7). MR has also been shown to regulate macrophage polarization in other tissues but has not been investigated in skeletal muscles (3). MR activation shifts macrophages to a proinflammatory M1 phenotype, whereas treatment with the nonspecific MR antagonist spironolactone or selective MR antagonist eplerenone promotes an anti-inflammatory M2 phenotype (3). Together, these data support that MR antagonism can result in anti-inflammatory effects similar to glucocorticoids, which may contribute to the improved muscle pathology observed in lisinopril plus spironolactone (LS)-treated dystrophic mice. The goal of this study was to begin to define the cellular and molecular effects of RAAS inhibitors on skeletal muscles. RAAS inhibitors, used in combination clinically in cardiology, were also compared with molecular changes resulting from standard-of-care glucocorticoid treatment.

MATERIALS AND METHODS

Animals.

All protocols were approved by the Institutional Animal Care and Use Committee of The Ohio State University, are in compliance with the laws of the United States, and conform to the National Institutes of Health’s Guide for the Care and Use of Laboratory Animals. Dystrophin-deficient, utrophin, haplo-insufficient het male mice (38) on a C57BL/10 background were bred in house and used for treated groups or untreated controls. Flexor digitorum brevis (FDB) muscles were used for membrane integrity assays, since they are small, relatively thin muscles that can be dissected cleanly at tendons, allowing for intact surgical removal from the animal, and are typically used for laser-injury experiments in dystrophic mice. Quadriceps muscles were used for the genomic studies, since they are larger muscles that provide sufficient tissue to conduct gene-expression measurements and can be compared with previously published data sets available from this muscle type from various studies on dystrophic mice.

Confocal microscopy membrane integrity assay.

Eight 4-wk-old het male mice, housed two per cage, were given water bottles containing 132 mg/l lisinopril (CAS no. 83915-83-7; SBH Medical, Worthington, OH) + 250 mg/l spironolactone (S3378; Sigma-Aldrich, St. Louis, MO; dissolved in 0.1% ethanol) in reverse-osmosis water (n = 4) or reverse-osmosis water only (n = 4), as described in our previous preclinical studies (17, 26), for 2–4 wk. Medicated water bottles were replaced three times/week, and the volume of water consumed was recorded. Mice were weighed once/week. Mice consumed approximately the predicted dosages of 20 mg·kg−1·day−1 lisinopril and 37.5 mg· kg−1·day−1 spironolactone. Membrane integrity assays were performed on isolated FDB muscle bundles to evaluate the effect of LS on treated versus untreated het mice. A group of four C57BL/6J (C57) male mice were used as wild-types for comparison with untreated and treated het mice. FDB muscles were surgically isolated and placed in minimal Ca2+ Tyrode solution (140 mM NaCl, 5 mM KCl, 2 mM MgCl2, and 10 mM HEPES, pH 7.2). Muscle bundles were mechanically separated at the tendon and then adhered on MatTek glass-bottomed Petri dishes using liquid bandage on the exposed tendons (New-Skin). Membrane disruption was induced in the presence of Tyrode supplement with 2.5 µM FM 4-64 dye (Thermo Fisher Scientific, Waltham, MA) and 2 mM Ca2+, with a FluoView FV1000 multi-photon confocal laser-scanning microscope (Olympus, Melville, NY). A circular region of interest was selected along the edge of the sarcolemma and irradiated at 24% of maximum infrared laser power for 3 s. Pre- and postdamage images were captured every 3 s for a total of 60 s. Extent of membrane damage was analyzed using the ImageJ Fiji software (National Institutes of Health, Bethesda, MD) by measuring the fluorescence intensity encompassing the site of damage with results represented as change in fluorescence signal relative to its starting signal (ΔF/F0), as described previously (34). Fibers for untreated het mice (n = 20), for LS-treated het mice (n = 24), and for C57 mice (n = 16 fibers, bred in house; The Jackson Laboratory, Bar Harbor, ME) were measured from the four mice used for each group. GraphPad Prism (GraphPad Software, La Jolla, CA) was used to fit the ΔF/F0 curve for each animal, calculate the area under the curve, and perform statistical analysis. The area under the curve represents a quantification of total dye accumulation during the entire period of laser damage. This calculation provides an index of the overall extent of sarcolemmal membrane disruption in each muscle fiber tested. Technical replicates for each biological replicate were averaged. All laser-injury experiments and accompanying analyses were performed by an operator blinded to the treatment groups.

Microarray analysis.

Het mice (n = 3/group) were treated from 4 to 6 wk of age with Teklad Rodent Chow (no. 7912), containing 133 mg/kg lisinopril (CAS no. 83915-83-7; SBH Medical) and either 666.66 mg/kg LS (S3378; Sigma-Aldrich) or 2,000 mg/kg eplerenone plus lisinopril (EL; Compound Transfer Program; Pfizer, New York, NY, prepared by Research Diets, New Brunswick, NJ) or water bottles containing 10 mg/l prednisolone (P6004; Sigma-Aldrich; dissolved in 0.04% ethanol) in reverse-osmosis water, replaced three times/week, or left untreated. Chow was used to compare treatment between MR antagonists, since eplerenone is not soluble in water. Mice were weighed weekly, and volume of water or chow consumed was recorded to calculate an average drug dosage of lisinopril (20 mg·kg−1·day−1), spironolactone (100 mg·kg−1·day−1), eplerenone (200 mg·kg−1·day−1), and prednisolone (1.5 mg·kg−1·day−1). All mice were dissected during the middle of the light cycle between 9 AM and 3 PM. One quadriceps muscle from each mouse was removed for RNA processing, and the other quadriceps muscle was embedded in optimal-cutting temperature medium and frozen on liquid nitrogen-cooled isopentane for histological analyses.

RNA from mouse quadriceps muscles was isolated using TRIzol reagent (Thermo Fisher Scientific), according to the manufacturer’s instructions. Samples were DNAse treated using RQ1 DNAse (Promega, Madison, WI) and further purified using the RNeasy mini kit (Qiagen, Germantown, MD) cleanup protocol, and integrity was verified using an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA). A 100-ng aliquot of total RNA was linearly amplified, and 5.5 µg cDNA was labeled and fragmented using the GeneChip WT PLUS Reagent Kit (Affymetrix, Santa Clara, CA), following the manufacturer's instructions. Labeled cDNA targets were hybridized to Affymetrix GeneChip Mouse Transcriptome Array 1.0 for 16 h at 45°C, rotating at 60 rpm. The arrays were washed and stained using the GeneChip Fluidics Station 450 and scanned using the GeneChip Scanner 3000. Arrays were normalized using the gene-level SST RMA algorithm in Expression Console software and comparisons made in Transcriptome Analysis Console software (Affymetrix). The microarray data have been deposited in the National Center for Biotechnology Information Gene Expression Omnibus (accession no. GSE84876). Gene groups were assigned using the Functional Annotation clustering tool from the Database for Annotation, Visualization and Integrated Discovery (DAVID).

Immunofluorescence.

Quadriceps muscle cryosections (8 µm) were stained with an antibody against mouse IgG (Alexa 488 goat anti-mouse IgG, 1:200; Thermo Fisher Scientific) to visualize ongoing muscle damage. Samples were mounted using Vectashield mounting medium (Vector Laboratories, Burlingame, CA) with 1 µl/ml 4′,6-diamidino-2-phenylindole and viewed using an Eclipse E800 microscope (Nikon Instruments, Melville, NY). Images were taken under a ×20 objective using a SPOT RT Slider digital camera and SPOT software.

RESULTS

Direct assessment of membrane stability effects of LS treatment on dystrophic skeletal muscles.

The results from previous preclinical studies support that treatment with lisinopril plus an MR antagonist reduces ongoing muscle damage, but a direct effect on membrane stability has not been investigated. To confirm the loss of membrane integrity in the het model, FDB muscle bundles from het mice were subjected to laser-induced sarcolemmal membrane damage. An infrared multiphoton laser produced localized damage to the sarcolemmal membrane of intact muscle fibers in the presence of a lipophilic FM4-64 dye, which is nonfluorescent in aqueous solution but fluoresces intensely once it enters the cell. When the membrane re-seals, dye entry ceases, and the fluorescent signal stabilizes. The tracking of the fluorescence intensity allows resolution of the extent of membrane disruption. Laser-injury assays demonstrated the predicted compromised membrane stability in untreated het mice compared with wild-type controls (Fig. 1). FDB muscles isolated from het mice treated for 4 wk with LS show a significant improvement in membrane integrity compared with untreated het mice (P < 0.0001; Fig. 1).

Fig. 1.

Fig. 1.

Lisinopril plus spironolactone (LS) treatment improves membrane integrity in het mice. A: representative confocal microscopy images of isolated FDB muscle bundles from het mice left untreated (top) or treated with LS (bottom) at indicated time points following injury by an infrared multiphoton laser (arrows) in the presence of FM4-64 dye. Original scale bar, 10 µm. B: FM4-64 dye influx over time in muscle fibers is quantified as the change/increase in red fluorescent signal over baseline (ΔF/F0) over a time course following induction of injury (time = 0 s; arrow). Fibers for injury experiments were isolated from 4 mice from each group: untreated het, LS-treated het, and C57 wild-type mice. Data are presented as means ± SE. C: quantification of the area under the curve (AUC) among untreated het (U), LS-treated hets, or C57 wild-type mice. One-way ANOVA, followed by Dunnett’s post hoc test, was used to identify significance between untreated hets and the 2 other groups. ****P < 0.0001 compared with untreated hets.

Treatment with LS or EL results in overlapping gene-expression changes.

Whereas increased membrane integrity could underlie some of the improved structure and function observed in dystrophic skeletal muscle following LS treatment, the molecular basis for the efficacy of RAAS inhibition is not clear. We have previously shown gene-expression differences between LS-treated and untreated het mice at the conclusion of a 16-wk study after phenotypes had significantly diverged (8, 26). These gene-expression differences represent the secondary benefits of treatment, in addition to the potential underlying therapeutic gene-expression changes. We have also shown that the endogenous MR agonist aldosterone can change gene expression in normal human myotubes (8). Here, we sought to begin to define the molecular changes that may underlie the efficacy of targeting MR in skeletal muscle. We compared treatment with LS, which can also bind glucocorticoid and androgen receptors, with lisinopril, plus the specific MR antagonist EL. These two treatments were recently shown to have equivalent efficacy in het mice (16).

We performed gene-expression microarray on 6-wk-old male het mice that had been treated for 2 wk with LS or EL or left untreated. These studies also included a group of het mice treated with prednisolone, the active metabolite of prednisone, to begin to differentiate between gene-expression changes that may underlie efficacy versus side effects of standard-of-care glucocorticoids. There were 66 gene-expression changes in quadriceps muscles between LS-treated and untreated het mice (Fig. 2). Treatment increased expression of 20 genes (2- to 7-fold) and decreased expression of 46 genes (2- to 7-fold). Similarly, EL treatment led to 70 gene-expression changes compared with untreated—with 23 genes increased (2- to 5-fold) and 47 decreased—with 45 of these reduced <7-fold (Fig. 2). S100a8 was decreased 160-fold by EL treatment, which was the largest fold change observed out of any of our previous microarrays. We reanalyzed the raw gene-expression data to determine whether this change was also present with LS treatment. We observed that there was an outlier in the untreated group, and when removed from the analysis, the S100a8 gene was decreased 93-fold in the LS group. In addition, S100a9, which functions as a dimer with S100a8, was now decreased in both EL and LS compared with untreated het mice (64- and 50-fold, respectively).

Fig. 2.

Fig. 2.

Microarray analysis of 2 wk-treated dystrophic het mice with a nonspecific or specific MR antagonist plus lisinopril results in a comparable number of gene-expression changes. Treatment with lisinopril plus spironolactone (LS) results in decreased expression of 46 genes and increased expression of 20 genes (66 genes total) compared with untreated het. Eplerenone plus lisinopril (EL) treatment results in a comparable number of gene-expression changes, 23 increased and 47 decreased (70 genes total). Thirty-three (50%) of these gene changes are conserved in EL-treated mice compared with untreated het. Treatment with standard-of-care prednisolone (Pred) results in 374 gene-expression changes, 122 increased and 252 decreased compared with untreated het. Only 62 genes of these genes are conserved with LS- or EL-treated mice versus untreated het; 312 genes are specific to prednisolone treatment. Ten gene-expression changes are present in both the LS and EL compared with untreated het but not in the prednisolone group. *Genes that are changed in the opposite directions with MR antagonist and prednisolone treatment. Dbp is represented in both the group of 10 gene changes conserved between LS and EL and as the gene-expression change (*) conserved with prednisolone but in the opposite direction.

Thirty-three gene-expression changes were conserved between LS and EL compared with untreated (Table 1 and Fig. 3A). Only 10 gene-expression changes conserved between LS and EL compared with untreated were not present or changed in the same direction in the comparison of prednisolone and untreated. Scd1, Scd2, Dbp, Lrtm1, Prkag3, and Nr1d1 were all increased by LS or EL treatment (5.3-, 4.4-, 3.1-, 3.0-, 3.0-, and 2.3-fold, respectively, in EL). Mt1, Pim1, Mt2, and Clu were reduced by LS or EL treatment (2.3-, 2.4-, 2.8-, and 2.9-fold, respectively, in EL). These genes were functionally classified as either ion binding or transcription factors and may underlie MR-specific efficacy.

Table 1.

Fold changes of gene-expression differences conserved in microarray comparing quadriceps muscles from lisinopril plus spironolactone (LS) and eplerenone plus lisinopril (EL) mice versus untreated het controls (Un)

Gene Symbol Full Gene Name Fold Change (LS/Un) Fold Change (EL/Un)
Immune response and homeostasis
 Cd14 CD14 antigen −2.8 −2.8
 Cd80 CD80 antigen −2.9 −3.1
 Csf2rb Colony-stimulating factor 2 receptor, beta, low-affinity (granulocyte-macrophage) −3.8 −3.5
 Fcgr3 Fc receptor, IgG, low-affinity III −2.2 −2.2
 Il6 Interleukin 6 −3.9 −2.9
Mt1 Metallothionein 1 −2.1 −2.3
 Nfkbia Nuclear factor of kappa light polypeptide gene enhancer in B cells inhibitor, alpha −2.8 −2.1
 Tfpi2 Tissue factor pathway inhibitor 2 −2.3 −2.4
 Thbs1 Thrombospondin 1 −6.2 −6.8
Scd2 Stearoyl-coenzyme A desaturase 2 4.1 4.4
 Wfdc17 Whey acidic protein (WAP) 4-disulfide core domain 17 −2.1 −2.6
Regulation of transcription
Dbp D Site albumin promoter-binding protein 4.2 3.1
 Litaf LPS-induced TNF-α factor −2.4 −2.3
 Mxd1 Myc-associated factor X (MAX) dimerization protein 1 −2.3 −2.6
Nr1d1 Nuclear receptor subfamily 1, group D, member 1 2.4 2.3
 Nr4a3 Nuclear receptor subfamily 4, group A, member 3 −5.6 −4.0
Ion binding and transport
 Adamts1 A disintegrin-like and metallopeptidase (reprolysin-type) with thrombospondin type 1 motif, 1 −2.5 −2.2
Mt2 Metallothionein 2 −2.4 −2.8
Pim1 Proviral integration site 1 −2.0 −2.4
Scd1 Stearoyl-coenzyme A desaturase 1 7.1 5.3
 Zfp36 Zinc finger protein 36 −4.7 −3.5
Apoptosis and proteolysis
Clu Clusterin −2.1 −2.9
Alternative splicing
 Asb15 Ankyrin repeat and SOCS box-containing 15 2.8 3.4
 Plaur Plasminogen activator, urokinase receptor −2.4 −2.7
Prkag3 Protein kinase, AMP-activated, gamma 3 noncatalytic subunit 3.1 3.0
Transmembrane
 Atp1b4 ATPase, Na+/K+ transporting, beta 4 polypeptide 2.0 2.6
 Ifitm1 Interferon-induced transmembrane protein 1 −2.2 −2.1
Lrtm1 Leucine-rich repeats and transmembrane domain 1 2.5 3.0
 Ms4a4a Membrane-spanning 4-domains, subfamily A, member 4A −2.7 −2.8
 Tmem252 Transmembrane protein 252 −2.9 −3.0
Unknown or specific functions
 Dusp5 Dual-specificity phosphatase 5 −2.5 −2.3
 Hdc Histidine decarboxylase −6.6 −6.0
 Sec14l5 SEC14-like 5 (Saccharomyces cerevisiae) 2.7 2.1

Genes were functionally clustered using the Functional Annotation clustering tool from the Database for Annotation, Visualization and Integrated Discovery (DAVID). Positive fold changes indicate that gene expression was increased with treatment and vice versa. The 10 gene-expression changes conserved between LS and EL, but not changed by prednisolone, are shown in bold.

Fig. 3.

Fig. 3.

Genes involved in immune response and transcriptional regulation are conserved between MR antagonists and standard-of-care glucocorticoid agonists. A: thirty-three gene-expression changes were conserved between lisinopril plus spironolactone (LS) and eplerenone plus lisinopril (EL). Out of these 33, only 10 were also not conserved with prednisolone treatment. B: there were 62 genes conserved between prednisolone (Pred) and LS or EL treated versus untreated het mice. C: an additional 312 genes were detected only in the Pred versus untreated het group. These genes encompass similar functional groups to those in A and B, including immune response, transcriptional regulators, ion binding, transmembrane, and alternative (Alt.) splicing. However, several functional groups specific to prednisolone treatment were also represented, including 35 genes involved in apoptosis or proteolysis (11.1%), 26 cytokines with chemokine activity (8.3%), 10 cytoskeleton (3.2%), 11 cell migration/motility (3.5%), 4 cell adhesion (1.3%), 3 drug metabolism (Met.; 1%), 3 behavioral response (1%), and 14 genes with GTPase activity (4.5%). D: seventeen gene-expression changes were conserved between Pred and EL, and (E) 21 were conserved between Pred and LS, subsets of the genes represented in B.

Short-term prednisolone treatment increases apoptotic genes and damages skeletal muscles.

Sixty-two genes were conserved between prednisolone and either LS or EL compared with untreated (Figs. 2 and 3B and Table 2). Of these 62 genes, 18 were increased with prednisolone treatment, and 44 were decreased. The highest fold change for increased genes was 3.9-fold, and only two genes were increased >3-fold. The largest fold change for decreased genes was 42-fold, and 23 of the 44 genes were reduced >3-fold. Overall, all three drug treatments reduced expression of more genes than they increased. Of the 62 genes conserved between prednisolone and either LS or EL compared with untreated het mice, the majority of genes could be classified into the functional groups of cytokine production/immune response (29%) or regulation of transcription (22.6%; Fig. 3B). One of the genes conserved among all three groups (Dbp), and three of the genes conserved between LS and prednisolone were changed in the opposite direction with mineralocorticoid antagonists compared with prednisolone (Fig. 2 and Table 2).

Table 2.

Fold changes of gene-expression differences in microarray comparing quadriceps muscles from prednisolone (P)-treated and untreated het mice conserved with either lisinopril plus spironolactone (LS) or eplerenone plus lisinopril (EL) versus untreated het controls (Un)

Fold Change
Gene Symbol Full Gene Name P/Un LS/Un EL/Un
Regulation of cytokine production/immune response
 Adora2b Adenosine A2b receptor −2.4 X −2.1
 Ccl9 Chemokine (C-C motif) ligand 9 −4.3 X −5.2
 Cd14 CD14 antigen −2.4 −2.8 −2.8
 Cd80 CD80 antigen −3.4 −2.9 −3.1
 Csf2rb Colony stimulating factor 2 receptor, β, low-affinity (granulocyte-macrophage) −3.5 −3.8 −3.5
 Csf2rb2 Colony stimulating factor 2 receptor, β2, low-affinity (granulocyte-macrophage) −3.0 X −2.6
 Fcgr3 Fc receptor, IgG, low-affinity III −2.6 −2.2 −2.2
 Il1b Interleukin 1β −42.1 X −40.3
 Il6 Interleukin-6 −3.6 −3.9 −2.9
 Klrb1b Killer cell lectin-like receptor subfamily B member 1B −2.3 −2.3 X
 Nfkbia Nuclear factor of kappa light polypeptide gene enhancer in B cells inhibitor, alpha −4.7 −2.8 −2.1
 Oas1a 2′-5′ oligoadenylate synthetase 1A −3.2 −2 X
 Oas1g 2′-5′ oligoadenylate synthetase 1G −2.9 −2 X
 Srgn Serglycin −2.6 X −2.1
 Thbs1 Thrombospondin 1 −10.5 −6.2 −6.8
 Tlr8 Toll-like receptor 8 −2.3 −2.1 X
 Wfdc17 WAP four-disulfide core domain 17 −3.6 −2.1 −2.6
 Zfp36 Zinc finger protein 36 −5.2 −4.7 −3.5
Regulation of transcription
 Arntl Aryl hydrocarbon receptor nuclear translocator-like 2.8 −2.3 X
 Cebpd CCAAT/enhancer binding protein (C/EBP), delta −7.4 −4.5 X
 Cited2 Cbp/p300-interacting transactivator, with Glu/Asp-rich carboxy-terminal domain, 2 2.6 X 2.5*
 Dbp D site albumin promoter binding protein −2.2 4.2 3.1
 Dmrt2 Doublesex and mab-3 related transcription factor 2 2.1 −2 X
 Fgfrl1 Fibroblast growth factor receptor-like 1 2.3 X 2.1
 Id1 Inhibitor of DNA binding 1 −2.9 X −2.6
 Id2 Inhibitor of DNA binding 2 −3.4 −2.4 X
 Litaf LPS-induced TN factor −3.0 −2.4 −2.3
 Mxd1 MAX dimerization protein 1 −3.2 −2.3 −2.6
 Npas2 Neuronal PAS domain protein 2 2.5 −2.2 X
 Nr4a3 Nuclear receptor subfamily 4, group A, member 3 −10.7 −5.6 −4
 Pyhin1 Pyrin and HIN domain family, member 1 −4.5 −2 X
 Rcor3 REST corepressor 3 2.2 X 2
Ion-binding and transport
 Adamts1 A disintegrin-like and metallopeptidase (reprolysin type) with thrombospondin type 1 motif, 1 −3.1 −2.5 −2.2
 F5 Coagulation factor V −3.2 X −2.2
Apoptosis
 Casp8 Caspase 8 −2.1 −3.4* X
Alternative splicing
 Asb14 Ankyrin repeat and SOCS box-containing 14 2.0 2.8* 3.37*
 Fgfrl1 Fibroblast growth factor receptor-like 1 2.3 X 2.1
 Plaur Plasminogen activator, urokinase receptor −2.5 −2.4 −2.7
Transmembrane
 Atp1b4 ATPase, Na+/K+ transporting, beta 4 polypeptide 3.6 2 2.6
 Fcgr4 Fc receptor, IgG, low affinity IV −4.2 −2.3 X
 Ifitm1 Interferon induced transmembrane protein 1 −2.3 −2.2 −2.1
 Ifrd1 Interferon-related developmental regulator 1 −2.6 X −2.3
 Ms4a4a Membrane-spanning 4-domains, subfamily A, member 4A −3.3 −2.7 −2.8
 Pnpla3 Patatin-like phospholipase domain containing 3 2.2 2.1 X
 Slc15a3 Solute carrier family 15, member 3 −2.0 −2.2 X
 Sntb1 Syntrophin, basic 1 2.3 2.5 X
 Tmem252 Transmembrane protein 252 −4.6 −2.9 −3
 Ugcg UDP-glucose ceramide glucosyltransferase −2.9 X −2.2
Unknown or specific functions
 Dhrs7c Dehydrogenase/reductase (SDR family) member 7C 3.9 X 2.2
 Dusp5 Dual-specificity phosphatase 5 −2.6 −2.5 −2.3
 Gm4980 Predicted gene 4980 2.5 X 2.1
 Gm6307 Predicted gene 6307 2.6 X 2.5
 Hdc Histidine decarboxylase −7.7 −6.6 −6
 Irs2 Insulin receptor substrate 2 −2.5 −2.4 X
 Lrrc30 Leucine rich repeat containing 30 2.7 2.1 X
 Lrrc39 Leucine rich repeat containing 39 2.3 2.2 X
 Prr33 Proline rich 33 2.4 X 2
 Ptpn1 Protein tyrosine phosphatase, nonreceptor type 1 −2.1 −2.4 X
 Sec14l5 SEC14-like 5 (S. cerevisiae) 2.3 2.7 2.1
 Synpo2l Synaptopodin 2-like 2.0 2.1 X
 Tfpi2 Tissue factor pathway inhibitor 2 −3.0 −2.3 −2.4
 Tnfaip6 Tumor necrosis factor-α-induced protein 6 −5.5 −7 X

Genes were functionally clustered using the Functional Annotation clustering tool from the Database for Annotation, Visualization and Integrated Discovery (DAVID). Positive fold changes indicate gene expression was increased with treatment and vice versa. Bold X's represent a lack of a 2-fold gene-expression change in the LS or EL treatment groups. Values underlined and italicized highlight gene-expression changes going in the opposite direction with P versus LS or EL treatment.

*

Functionally conserved gene family members in LS or EL comparisons (Cited4, Casp4, and Asb15).

Gene-expression changes (312) were present only in the prednisolone versus untreated het comparison and may represent changes associated with either glucocorticoid-specific muscle benefits or side effects (Figs. 2 and 3C and Table 3). Staining for IgG in quadriceps muscles of het mice treated for 2 wk and used for this microarray experiment (Fig. 4) recapitulated the increased skeletal muscle damage previously observed after longer treatment with prednisolone (14, 31). Genes (103) were increased by prednisolone, and 209 were reduced. Increases ranged from 2- to 6.9-fold with 17 gene-expression changes >3-fold. Decreased genes were reduced between 2- and 57-fold, with 64 genes reduced >3-fold. Classification of these genes identified several functional groups that were not present in the LS or EL versus untreated het comparison. The functional groups specific to prednisolone treatment were apoptosis or proteolysis (11.1%), cytokine/chemokine activity (8.3%), GTPase activity (4.5%), cytoskeleton (3.2%), cell migration and motility (3.5%), and cell adhesion (1.3%; Fig. 3C).

Table 3.

Fold changes of gene-expression differences specific to microarray comparing quadriceps muscles from prednisolone (Pred)-treated het mice versus untreated het controls (Un)

Gene Symbol Full Gene Name Fold Change (Pred/Un)
Immune response/regulation of immune response
 Cd274 CD274 antigen −2.0
 Cd300ld CD300 molecule-like family, member d −2.2
 Clec4n C-Type lectin domain family 4, member n −4.1
 Cmip c-Maf-inducing protein −2.1
 Ddx58 Asp-Glu-Ala-Asp (DEAD) box polypeptide 58 −2.1
 Fcgr2b Fc receptor, IgG, low-affinity IIb −2.6
 H2-Eb1 Histocompatibility 2, class II antigen E β −2.7
 Ifih1 Interferon-induced with helicase C domain 1 −2.4
 Ifit1 Interferon-induced protein with tetratricopeptide repeats 1 −2.7
 Ifit2 Interferon-induced protein with tetratricopeptide repeats 2 −2.2
 Ifit3 Interferon-induced protein with tetratricopeptide repeats 3 −2.7
 Oas2 2′-5′ Oligoadenylate synthetase 2 −5.5
 Oasl2 2′-5′ Oligoadenylate synthetase-like 2 −3.2
 Rnf125 Ring finger protein 125 −3.1
 Rsad2 Radical S-adenosyl methionine domain-containing 2 −3.4
 Samhd1 SAM domain and HD domain 1 −2.0
 Tpd52 Tumor protein D52 −2.2
 Trim25 Tripartite motif-containing 25 −2.4
Cytokines with chemokine activity
 Adamts9 A disintegrin-like and metallopeptidase (reprolysin-type) with thrombospondin type 1 motif, 9 −5.0
 Ccl8 Chemokine (C–C motif) ligand 8 −4.1
 Ccl11 Chemokine (C–C motif) ligand 11 −3.2
 Cfb Complement factor B −2.1
 Cxcl1 Chemokine (C–X–C motif) ligand 1 −2.7
 Cxcl9 Chemokine (C–X–C motif) ligand 9 −8.0
 Cxcl13 Chemokine (C–X–C motif) ligand 13 6.9
 Cxcr4 Chemokine (C–X–C motif) receptor 4 −2.9
 Egf Epidermal growth factor 2.1
 Entpd1 Ectonucleoside triphosphate diphosphohydrolase 1 −2.1
 Hck Hemopoietic cell kinase −2.0
 Hif1a Hypoxia-inducible factor 1, alpha subunit −3.7
 Igfbp3 Insulin-like growth factor-binding protein 3 2.7
 Igh-VJ558 Immunoglobulin heavy chain (J558 family) 2.1
 Il1r1 Interleukin 1 receptor, type I −3.6
 Il13ra1 Interleukin 13 receptor, alpha 1 −2.5
 Il33 Interleukin 33 −8.7
 Irf7 Interferon regulatory factor 7 −2.6
 Lep Leptin 2.3
 Lrrc32 Leucine-rich repeat containing 32 −2.2
 Ly86 Lymphocyte antigen 86 −2.8
 Lyn Yamaguchi sarcoma viral (v-yes-1) oncogene homolog −3.1
 Rap1b RAS-related protein 1b −2.1
 Stat1 Signal transducer and activator of transcription 1 −2.5
 Stat2 Signal transducer and activator of transcription 2 −2.9
 Thbd Thrombomodulin −2.3
Regulation of transcription
 Ankrd2 Ankyrin repeat domain 2 (stretch-responsive muscle) 3.5
 Bach1 BTB and CNC homology 1 −2.0
 Baz1a Bromodomain adjacent to zinc finger domain 1A −2.6
 Bhlhe40 Basic helix-loop-helix family, member e40 −2.1
 C7 Complement component 7 3.0
 Ccnl1 Cyclin L1 −2.0
 Crem cAMP-responsive element modulator −2.1
 Ell2 Elongation factor RNA polymerase II 2 −2.0
 Erg Avian erythroblastosis virus E-26 (v-ets) oncogene related −2.3
 Fos FBJ osteosarcoma oncogene −5.1
 Klf2 Kruppel-like factor 2 (lung) −3.0
 Mafb v-maf Musculoaponeurotic fibrosarcoma oncogene family, protein B (avian) −2.8
 Mamstr MEF2-activating motif and SAP domain-containing transcriptional regulator 2.0
 Mnda Myeloid cell nuclear differentiation antigen −4.5
 Nrip1 Nuclear receptor-interacting protein 1 −2.8
 Parp14 Poly (ADP-ribose) polymerase family, member 14 −2.4
 Per1 Period circadian clock 1 −6.4
 Perm1 PPARGC1 and ESRR-induced regulator, muscle 1 2.5
 Rcor3 REST corepressor 3 2.2
 Rcor3 REST corepressor 3 2.4
 Rorc RAR-related orphan receptor gamma 2.4
 Rxrg Retinoid X receptor gamma 3.2
 Tigd4 Tigger transposable element-derived 4 2.3
Ion binding and transport
 Ano5 Anoctamin 5 2.4
 Apobec2 Apolipoprotein B mRNA editing enzyme, catalytic polypeptide 2 2.3
 Cacna1s Calcium channel, voltage-dependent, L type, alpha 1S subunit 2.0
 Car14 Carbonic anhydrase 14 6.6
 Cd93 CD93 antigen −2.5
 Cdh5 Cadherin 5 −3.7
 Clcn1 Chloride channel 1 2.6
 Csrp3 Cysteine and glycine-rich protein 3 2.4
 Cyp27a1 Cytochrome P450, family 27, subfamily a, polypeptide 1 2.1
 Dtna Dystrobrevin alpha 2.0
 Fmo2 Flavin containing monooxygenase 2 2.1
 Gabrr2 Gamma-aminobutyric acid (GABA) C receptor, subunit rho 2 2.1
 Kcng4 Potassium voltage-gated channel, subfamily G, member 4 2.7
 Kcnj2 Potassium inwardly rectifying channel, subfamily J, member 2 3.5
 Kcnj12 Potassium inwardly rectifying channel, subfamily J, member 12 2.7
 Mpi Mannose phosphate isomerase 2.3
 Mrc1 Mannose receptor, C type 1 −3.2
 Parp12 Poly (ADP-ribose) polymerase family, member 12 −2.2
 Pgm1 Phosphoglucomutase 1 −2.1
 Plod2 Procollagen lysine, 2-oxoglutarate 5-dioxygenase 2 −2.4
 Ppp2r3a Protein phosphatase 2, regulatory subunit B, alpha 2.1
 Prkd2 Protein kinase D2 −2.4
 Rnf213 Ring finger protein 213 −3.4
 S100a11 S100 calcium-binding protein A11 (calgizzarin) −2.5
 Slc10a6 Solute carrier family 10 (sodium/bile acid cotransporter family), member 6 −3.3
 Slc16a3 Solute carrier family 16 (monocarboxylic acid transporters), member 3 2.4
 Slc25a25 Solute carrier family 25 (mitochondrial carrier, phosphate carrier), member 25 −3.5
 Slc30a2 Solute carrier family 30 (zinc transporter), member 2 2.6
 Slc38a3 Solute carrier family 38, member 3 2.0
 Slc38a4 Solute carrier family 38, member 4 2.4
 Sln Sarcolipin 3.8
 Trim54 Tripartite motif-containing 54 2.1
 Zfp366 Zinc finger protein 366 −2.0
 Zswim6 Zinc finger SWIM-type containing 6 −2.3
GTPase activity
 Arhgap20 Rho GTPase-activating protein 20 4.1
 Gbp2 Guanylate-binding protein 2 −2.2
 Gbp3 Guanylate-binding protein 3 −2.3
 Gbp7 Guanylate-binding protein 7 −2.3
 Gbp8 Guanylate-binding protein 8 −2.3
 Gbp9 Guanylate-binding protein 9 −2.7
 Gbp10 Guanylate-binding protein 10 −2.9
 Gbp11 Guanylate-binding protein 11 −2.1
 Gm12185 Predicted gene 12185 −2.5
 Gvin1 GTPase, very large interferon-inducible 1 −2.3
 Rac2 RAS-related C3 botulinum substrate 2 −2.1
 Rapgef5 Rap guanine nucleotide-exchange factor (GEF) 5 −2.9
 Rgs5 Regulator of G-protein signaling 5 −2.7
 Tgtp2 T Cell-specific GTPase 2 −3.2
Apoptosis and proteolysis/regulation of apoptosis
 Agt Angiotensinogen (serpin peptidase inhibitor, clade A, member 8) 2.1
 Aldh1a1 Aldehyde dehydrogenase family 1, subfamily A1 5.9
 Asb2 Ankyrin repeat and SOCS box-containing 2 2.3
 Asb11 Ankyrin repeat and SOCS box-containing 11 2.2
 Asb12 Ankyrin repeat and SOCS box-containing 12 2.1
 Atp1a2 ATPase, Na+/K+ transporting, alpha 2 polypeptide 2.1
 Bcl3 B Cell leukemia/lymphoma 3 3.2
 Ctla2a Cytotoxic T lymphocyte-associated protein 2 alpha −2.4
 Ctla2b Cytotoxic T lymphocyte-associated protein 2β −3.1
 Dapk2 Death-associated protein kinase 2 2.2
 Ddit4 DNA damage-inducible transcript 4 −5.2
 Dpep1 Dipeptidase 1 (renal) 2.5
 Egfbp2 Epidermal growth factor binding protein type B 4.0
 Egln3 Egl-9 family hypoxia-inducible factor 3 2.1
 Eif2ak2 Eukaryotic translation initiation factor 2-alpha kinase 2 −2.6
 Errfi1 ERBB receptor feedback inhibitor 1 −11.5
 Fbxo32 F-Box protein 32 2.7
 Fcer1g Fc receptor, IgE, high affinity I, gamma polypeptide −2.0
 Fcgr1 Fc receptor, IgG, high affinity I −6.1
 Gadd45a Growth arrest and DNA-damage-inducible 45 alpha −2.0
 Gadd45g Growth arrest and DNA-damage-inducible 45 gamma −10.0
 Herc3 Hect domain and RLD 3 2.0
 Hmox1 Heme oxygenase (decycling) 1 −4.4
 Ifi204 Interferon-activated gene 204 −3.8
 Mmp3 Matrix metallopeptidase 3 −3.6
 Myc Myelocytomatosis oncogene −2.5
 Nr4a1 Nuclear receptor subfamily 4, group A, member 1 −5.3
 Pdia3 Protein disulfide isomerase-associated 3 −2.3
 Pnp Purine-nucleoside phosphorylase −2.7
 Sh3rf2 SH3 domain-containing ring finger 2 3.5
 Smtnl1 Smoothelin-like 1 2.7
 Stk17b Serine/threonine kinase 17b (apoptosis inducing) −2.5
 Tsc22d3 TSC22 domain family, member 3 −3.4
 Usp18 Ubiquitin-specific peptidase 18 −2.8
 Xaf1 X-Linked inhibitor of apoptosis (XIAP)-associated factor 1 −2.9
Drug metabolism
 Gsta3 Glutathione S-transferase, alpha 3 2.6
 Gstk1 Glutathione S-transferase kappa 1 2.1
 Mgst3 Microsomal glutathione S-transferase 3 2.1
Cytoskeleton
 Arpc3 Actin-related protein 2/3 complex, subunit 3 −2.1
 Cnn2 Calponin 2 −2.5
 Fhl3 Four and one-half LIM domains 3 2.6
 Msn Moesin −2.2
 Myo5c Myosin VC 2.2
 Myoz1 Myozenin 1 2.2
 Ptpn4 Protein tyrosine phosphatase, nonreceptor type 4 2.2
 Tagln2 Transgelin 2 −2.1
 Tpm4 Tropomyosin 4 −2.2
 Ttll7 Tubulin tyrosine ligase-like family, member 7 2.6
Cell adhesion
 Col15a1 Collagen, type XV, alpha 1 −2.5
 Cytip Cytohesin 1-interacting protein −2.6
 Lgals3bp Lectin, galactoside-binding, soluble, 3 binding protein −2.1
 Vcan Versican −2.6
Behavioral response to stimulus
 Amot Angiomotin 2.1
 Amot Angiomotin 2.3
 Sncg Synuclein, gamma 2.3
Cell migration and motility
 Bin2 Bridging integrator 2 −2.1
 Ctgf Connective tissue growth factor −2.3
 Dnaja1 DnaJ (Hsp40) homolog, subfamily A, member 1 −3.0
 Itga1 Integrin alpha 1 −2.7
 Itga6 Integrin alpha 6 −2.5
 Myh9 Myosin, heavy polypeptide 9, nonmuscle −2.3
 Nus1 Nuclear undecaprenyl pyrophosphate synthase 1 homolog (S. cerevisiae) −2.3
 Ret Ret proto-oncogene −2.7
 Rhob Ras homolog gene family, member B −2.0
 S1pr1 Sphingosine-1-phosphate receptor 1 −3.2
 Sema6c Sema domain, transmembrane domain (TM), and cytoplasmic domain (semaphorin), 6C 2.2
Alternative splicing
BC094916 cDNA sequence BC094916 −3.3
 Coq10b Coenzyme Q10 homolog B (S. cerevisiae) −2.9
 Far1 Fatty acyl CoA reductase 1 −2.1
 Htra3 HtrA serine peptidase 3 2.2
 Ifi203 Interferon-activated gene 203 −2.8
 Lgals9 Lectin, galactose-binding, soluble 9 −3.0
 Lpcat2 Lysophosphatidylcholine acyltransferase 2 −2.0
 Midn Midnolin −2.3
 Mgat4a Mannoside acetylglucosaminyltransferase 4, isoenzyme A −2.1
 Nnat Neuronatin 3.2
 Picalm Phosphatidylinositol-binding clathrin assembly protein −2.3
 Pla2g4e Phospholipase A2, group IVE 2.2
 Ptbp3 Polypyrimidine tract-binding protein 3 −2.2
 Rtp4 Receptor transporter protein 4 −2.5
 Sp100 Nuclear antigen Sp100 −2.5
 Trib1 Tribbles homolog 1 (Drosophila) −2.2
 Trp53inp2 Transformation-related protein 53-inducible nuclear protein 2 2.2
 Zbp1 Z-DNA-binding protein 1 −2.9
Transmembrane
 Abcb4 ATP-binding cassette, subfamily B (MDR/TAP), member 4 2.3
 Alox5ap Arachidonate 5-lipoxygenase activating protein −3.8
 Aqp4 Aquaporin 4 2.5
 B3galt2 UDP-Gal: βGlcNAc β 1,3-galactosyltransferase, polypeptide 2 2.6
 B4galt5 UDP-Gal: βGlcNAc β 1,4-galactosyltransferase, polypeptide 5 −4.6
 Bst2 Bone marrow stromal cell antigen 2 −5.3
 Cd53 CD53 antigen −2.7
 Chsy1 Chondroitin sulfate synthase 1 −2.2
 Cpt1b Carnitine palmitoyltransferase 1b, muscle 2.1
 Ctxn3 Cortexin 3 3.6
 Emp1 Epithelial membrane protein 1 −2.7
 Gpr65 G-Protein-coupled receptor 65 −2.4
 Gprc5a G-Protein-coupled receptor, family C, group 5, member A −2.1
 Has1 Hyaluronan synthase1 −2.2
 Ier3 Immediate early response 3 −2.7
 Ifitm3 Interferon-induced transmembrane protein 3 −2.3
 Mc5r Melanocortin 5 receptor 3.0
 Ms4a4b Membrane-spanning 4-domains, subfamily A, member 4B −2.3
 Ms4a4c Membrane-spanning 4-domains, subfamily A, member 4C −7.6
 Ms4a6b Membrane-spanning 4-domains, subfamily A, member 6B −2.6
 Ms4a6c Membrane-spanning 4-domains, subfamily A, member 6C −2.5
 Ms4a6d Membrane-spanning 4-domains, subfamily A, member 6D −3.5
 Slc2a4 Solute carrier family 2 (facilitated glucose transporter), member 4 3.0
 Slc7a8 Solute carrier family 7 (cationic amino acid transporter, y+ system), member 8 −2.7
 Sptlc2 Serine palmitoyltransferase, long-chain base subunit 2 −2.1
 St3gal5 ST3 β-galactoside alpha-2,3-sialyltransferase 5 2.2
 Tecr Trans-2,3-enoyl-CoA reductase 2.1
 Tyrobp TYRO protein tyrosine kinase binding protein −2.1
Unknown or specific functions
 1810011O10Rik RIKEN cDNA 1810011O10 gene −2.2
 2310002L09Rik RIKEN cDNA 2310002L09 gene 2.3
 8430408G22Rik RIKEN cDNA 8430408G22 gene −7.3
 9430020K01Rik RIKEN cDNA 9430020K01 gene −2.1
 A730049H05Rik RIKEN cDNA A730049H05 gene −2.1
AA467197 Expressed sequence AA467197 −2.1
AI607873 Expressed sequence AI607873 −3.5
 Aldh1a7 Aldehyde dehydrogenase family 1, subfamily A7 2.9
 Apold1 Apolipoprotein L domain-containing 1 −9.8
 Arrdc2 Arrestin domain-containing 2 −2.5
 Cox7b2 Cytochrome c oxidase subunit VIIb2 −2.2
 Dcaf4 DDB1 and CUL4-associated factor 4 2.1
 Dennd4a DENN/MADD-containing 4A −2.3
 Dusp1 Dual-specificity phosphatase 1 −3.7
 Dusp10 Dual-specificity phosphatase 10 2.9
 Eif1a Eukaryotic translation initiation factor 1A −2.2
 Erdr1 Erythroid differentiation regulator 1 −10.0
 Exd2 Exonuclease 3–5 domain-containing 2 2.7
 Fam46a Family with sequence similarity 46, member A −2.0
 Fam101b Family with sequence similarity 101, member B −2.3
 Fcrls Fc receptor-like S, scavenger receptor −3.0
 Gbas Glioblastoma-amplified sequence 2.1
 Gm22 Predicted gene, 22 −2.2
 Gm4899 Predicted gene, 4899 −2.4
 Gm4955 Predicted gene, 4955 −3.4
 Gm6377 Predicted gene, 6377 −2.5
 Gm6904 Predicted gene, 6904 −2.1
 Gm10110 Predicted gene, 10110 2.2
 Gm10999 Predicted gene, 10999 2.0
 Gm11037 Predicted gene, 11037 −2.4
 Gm11710 Predicted gene, 11710 −2.0
 Gm11711 Predicted gene, 11711 −2.0
 Gm21742 Predicted gene, 21742 −9.7
 Gm21748 Predicted gene, 21748 −56.6
 Gm21750 Predicted gene, 21750 2.1
 Gm21857 Predicted gene, 21857 −4.2
 Gm21860 Predicted gene, 21860 −56.6
 Gm21887 Predicted gene, 21887 −9.3
 Gys1 Glycogen synthase 1, muscle 2.1
 Herc6 Hect domain and RLD 6 −2.6
 I830012O16Rik RIKEN cDNA I830012O16 gene −3.5
 Ifi44 Interferon-induced protein 44 −6.0
 Ifi202b Interferon-activated gene 202B −3.4
 Inmt Indolethylamine N-methyltransferase 2.9
 Kbtbd13 Kelch repeat and BTB (POZ) domain containing 13 2.1
 Klhdc3 Kelch domain-containing 3 2.2
 Klhl38 Kelch-like 38 2.6
 Lrrc14b Leucine-rich repeat containing 14B 2.2
 Lsmem2 Leucine-rich single-pass membrane protein 2 2.0
 Mettl7a1 Methyltransferase-like 7A1 2.4
 Mettl21e Methyltransferase-like 21E 6.6
 Mndal Myeloid nuclear differentiation antigen like −2.2
 Mup3 Major urinary protein 3 2.4
 Myom3 Myomesin family, member 3 2.3
 Odf3l2 Outer dense fiber of sperm tails 3-like 2 5.3
 Pde4b Phosphodiesterase 4B, cAMP specific −2.1
 Phf11b PHD finger protein 11B −3.1
 Phf11d PHD finger protein 11D −2.3
 Plac8 Placenta-specific 8 −2.5
 Pnp2 Purine-nucleoside phosphorylase 2 −2.7
 Ppp1r3c Protein phosphatase 1, regulatory (inhibitor) subunit 3C 3.0
 Prob1 Proline-rich basic protein 1 2.1
 Ptma Prothymosin alpha −2.4
 Pydc3 Pyrin domain-containing 3 −3.0
 Pydc4 Pyrin domain-containing 4 −3.3
 Retnlg Resistin-like gamma −5.7
 Rilpl1 Rab-interacting lysosomal protein-like 1 2.2
 Rragd Ras-related GTP-binding D 2.1
 Sbk2 SH3-binding domain kinase family, member 2 2.6
 Serpine1 Serine (or cysteine) peptidase inhibitor, clade E, member 1 −9.6
 Sh3pxd2b SH3 and PX domains 2B −2.0
 Slfn1 Schlafen 1 −3.2
 Slfn2 Schlafen 2 −3.7
 Slfn4 Schlafen 4 −9.7
 Slfn5 Schlafen 5 −2.3
 Slfn8 Schlafen 8 −2.7
 Tpm3-rs7 Tropomyosin 3, related sequence 7 −2.6
 Tra2a Transformer 2 alpha homolog (Drosophila) −2.5
 Trim30a Tripartite motif-containing 30A −3.9
 Trim30b Tripartite motif-containing 30B −3.6
 Trim30c Tripartite motif-containing 30C −3.4
 Trim30d Tripartite motif-containing 30D −3.8
 Wee1 WEE 1 homolog 1 (Schizosaccharomyces pombe) −2.1
 Xlr3b X-Linked lymphocyte-regulated 3B 2.4
 Xlr3c X-Linked lymphocyte-regulated 3C 2.2

This list excludes the gene-expression changes also conserved with either LS or EL treatment, listed in Table 2. Genes were functionally clustered using the Functional Annotation clustering tool from the Database for Annotation, Visualization and Integrated Discovery (DAVID). Positive fold changes indicate that gene expression was increased with treatment and vice versa.

Fig. 4.

Fig. 4.

Short-term prednisolone treatment worsens ongoing muscle damage in dystrophic het mice. Immunofluorescence staining for serum IgG on representative quadriceps (Quad) sections from het mice treated for 2 wk with LS, EL, or prednisolone (Pred) and used for microarray analysis. Mice treated with 1.5 mg·kg−1·day−1 prednisolone (n = 3) had more ongoing damage than LS-treated (n = 3), EL-treated (n = 3), and untreated het mice (n = 3).

DISCUSSION

To determine whether the improvement in ongoing damage previously observed in dystrophic mice treated with LS was a direct or indirect effect of the drugs on striated muscle fiber sarcolemmal membranes, we carried out a laser-injury membrane-integrity assay. We found that het mice have reduced membrane integrity, as predicted by the loss of dystrophin and reduction of utrophin, similar to that seen in dystrophin-deficient mice (34). LS treatment for <4 wk is able to restore membrane integrity of muscles isolated from treated het mice to levels not different from that of wild-type mice. These data indicate that this drug treatment can decrease sarcolemmal membrane fragility through direct effects on skeletal muscle fibers or through modification of the muscle ECM. Since muscle bundles were used in these experiments, the native cellular connections to the matrix remain intact, and matrix characteristics could also contribute to improved sarcolemmal membrane integrity.

This increase in membrane integrity could result from multiple mechanisms. Furthermore, there are additional pathways that could contribute to improved muscle structure and function following treatment with LS. We used an unbiased gene-expression analysis approach to establish the effects of LS on the molecular level. Treatment of dystrophic het mice with EL or LS resulted in a comparable number of gene-expression changes (70 and 66, respectively), and ~50% of these changes were conserved between the two treatments. There were only 10 gene-expression changes conserved between LS and EL compared with untreated, which were not changed in the same direction by prednisolone compared with untreated.

Not included in this group of 10 genes is S100a8, the highest fold decrease in the EL group (160-fold), which was also not changed by prednisolone but required removal of an outlier to reveal a 93-fold change in LS. S100a8 works as a dimer with S100a9 to form calprotectin, a regulator of immune reactions and inflammatory processes and a marker of neutrophils. Previous studies have shown that infusion of IL-6 cytokine increases S100A8 expression in human skeletal muscle (22). IL-6 expression is also decreased approximately threefold in both LS and EL compared with untreated. Over 50% of gene-expression changes resulting from LS or EL treatment were also conserved in prednisolone-treated mice, and the majority of these genes are functionally classified as either cytokine production/immune response or transcriptional regulators. These data support that MR antagonists likely exhibit anti-inflammatory effects similar to prednisolone and that MR and GR may interact with each other both pre- and post-transcriptionally, particularly in inflammatory cells (35, 37).

Two of the 10 gene-expression changes specific to the LS and EL groups have known associations with altered membrane integrity in dystrophic muscles. Metallothioneins (Mt) 1 and 2, which are decreased by LS and EL treatment, are known to be increased in mdx limb muscles and reduced in mdx mice expressing a therapeutic utrophin transgene (2, 25). However, a recent study showed that an Mt1 mimetic in a laser-injury assay is protective in a mouse model of limb-girdle muscular dystrophy (1). Since Mt1 is also regulated by IL-6, different levels of metallothioneins may be protective at different stages of disease.

The remainder of the gene changes conserved between LS and EL, but not prednisolone, have known roles in muscle metabolism. Scd1, which encodes an enzyme essential for skeletal muscle lipid metabolism, showed the highest fold increase with treatment. The increase of Scd1 expression in skeletal muscle can enhance muscle triglyceride synthesis, glucose uptake, and exercise capacity (28). Diminished Scd1 activity can lead to increased levels of saturated fatty acids that result in inflammation, lipotoxicity, and insulin resistance (28).

Nr1d1 encodes the rev-ERBα nuclear receptor expressed in oxidative muscle and is known to increase exercise capacity (36). Pim1 encodes a serine/threonine kinase that regulates metabolism and is associated with high intramuscular fat in beef, and knockout of Clu, encoding clusterin in mice, is protective against a high-fat diet (15, 30). Prkag3 encodes the regulatory subunit of AMP kinase, which is known to play a major role in muscle metabolism and also to regulate the muscle circadian clock (33). Dbp, decreased by prednisolone and in muscle atrophy but increased by both LS and EL treatment, and Per3, increased in LS only, are circadian clock-controlled genes in muscle (24, 33). Clock genes have recently been shown to play an important purpose in normal muscle function and metabolism (12). These metabolic gene-expression changes may underlie the improved recovery from fatigue observed in diaphragm and extensor digitorum longus muscles from LS- and EL-treated mice, although the contribution of each gene product will require further investigation.

Two gene-expression changes were conserved between the het mice treated with LS or EL for 2 wk and mice treated for 16 wk with LS from our previous study compared with untreated hets (8). Cited4, which was decreased by 2-wk EL and 16-wk LS treatment, encodes a cAMP response element-binding protein-binding protein/p300 transcriptional coactivator-binding protein that has not been directly investigated in skeletal muscle. However, Cited4 was increased in exercised-induced cardiac hypertrophy and controls myocyte elongation and proliferation (4, 29). Adamst1, decreased by 2- and 16-wk LS treatment, EL treatment, and prednisolone treatment, is an anti-angiogenic regulator transiently increased during myotube maturation. Adamst1 is known to be drastically reduced in skeletal muscle by exercise and predicted to be involved in ECM remodeling (18).

There were 312 gene-expression changes present only in the prednisolone versus untreated het comparison. Functional groups specific to prednisolone treatment include genes involved in apoptosis or proteolysis, cytokines with chemokine activity, GTPase activity, cell migration and motility, cell adhesion, and cytoskeleton. Almost all apoptotic and proteolytic genes are increased with prednisolone treatment, whereas genes that negatively regulate apoptosis are all decreased. GR-induced increases in proapoptotic gene expression are seen in other tissues, including skin, bone, and neurons (5, 10, 23). The reduction of genes involved in cell motility and migration by prednisolone could contribute to impaired regeneration and explain the increased muscle damage associated with prednisolone treatment in animal models of DMD (11). Treatment with prednisolone also decreased expression of GTPase genes, including several members of the Gbp family that are induced by IFN-γ and play a key role in protective immunity (32).

This study has demonstrated that short-term treatment with LS is able to restore membrane integrity of isolated dystrophic mouse muscles and decrease inflammatory genes. The combination of these effects could contribute to the cell and molecular mechanisms that lead to the improved muscle structure and function in dystrophic muscle following treatment with LS. Microarray analysis identified several potential gene targets that may specifically underlie the efficacy of RAAS inhibitors on dystrophic muscles, while also identifying gene-expression changes that may contribute to the side effects of prednisolone on skeletal muscles. This information may be used to develop biomarkers to monitor RAAS inhibitor or glucocorticoid agonist treatment, develop a temporally coordinated treatment with both drug classes, or identify novel therapeutics with these more-specific treatment targets.

GRANTS

Funding for this study was provided by the National Institute of Neurological Disorders and Stroke Grant R01 NS082868) and National Heart, Lung, and Blood Institute Grant R01 HL116533 (to J. A. Rafael-Fortney), National Institute of Arthritis and Musculoskeletal and Skin Diseases Grant R01 AR063084 (to N. Weisleder), and Department of Defense Grant MD120063 (to J. A. Rafael-Fortney). Additional support was provided through a postdoctoral fellowship from The Ohio State University/Nationwide Children’s Hospital Center for Muscle Health and Neuromuscular Disorders (to S. Bhattacharya). Eplerenone (no longer under patent) was provided by the Pfizer Compound Transfer Program.

DISCLOSURES

No conflicts of interest, financial or otherwise, are declared by the author(s).

AUTHOR CONTRIBUTIONS

J.A.C., S.B., and J.L. performed experiments; J.A.C., S.B., and J.A.R-F. analyzed data; J.A.C., N.W., and J.A.R-F. interpreted results of experiments; J.A.C. and S.B. prepared figures; J.A.R-F. drafted manuscript; J.A.C., J.L., N.W., and J.A.R-F. edited and revised manuscript; J.A.C., S.B., J.L., N.W., and J.A.R-F. approved final version of manuscript.

ACKNOWLEDGMENTS

The authors thank Feni Kadakia and Jonathan Zins for assistance with mouse treatments and The Ohio State University Genomics Shared Resource, and in particular, S. Warner for microarray processing.

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