- Open Access
Proteomic profiling of liver tissue from the mdx-4cv mouse model of Duchenne muscular dystrophy
© The Author(s) 2018
- Received: 14 August 2018
- Accepted: 23 October 2018
- Published: 29 October 2018
Duchenne muscular dystrophy is a highly complex multi-system disease caused by primary abnormalities in the membrane cytoskeletal protein dystrophin. Besides progressive skeletal muscle degeneration, this neuromuscular disorder is also associated with pathophysiological perturbations in many other organs including the liver. To determine potential proteome-wide alterations in liver tissue, we have used a comparative and mass spectrometry-based approach to study the dystrophic mdx-4cv mouse model of dystrophinopathy.
The comparative proteomic profiling of mdx-4cv versus wild type liver extracts was carried out with an Orbitrap Fusion Tribrid mass spectrometer. The distribution of identified liver proteins within protein families and potential protein interaction patterns were analysed by systems bioinformatics. Key findings on fatty acid binding proteins were confirmed by immunoblot analysis and immunofluorescence microscopy.
The proteomic analysis revealed changes in a variety of protein families, affecting especially fatty acid, carbohydrate and amino acid metabolism, biotransformation, the cellular stress response and ion handling in the mdx-4cv liver. Drastically increased protein species were identified as fatty acid binding protein FABP5, ferritin and calumenin. Decreased liver proteins included phosphoglycerate kinase, apolipoprotein and perilipin. The drastic change in FABP5 was independently verified by immunoblotting and immunofluorescence microscopy.
The proteomic results presented here indicate that the intricate and multifaceted pathogenesis of the mdx-4cv model of dystrophinopathy is associated with secondary alterations in the liver affecting especially fatty acid transportation. Since FABP5 levels were also shown to be elevated in serum from dystrophic mice, this protein might be a useful indicator for monitoring liver changes in X-linked muscular dystrophy.
- Fatty acid binding protein
- Fatty acid metabolism
- Neuromuscular disease
The X-linked recessively inherited disorder Duchenne muscular dystrophy is primarily a monogenetic disease of the skeletal musculature . The almost complete loss of the membrane cytoskeletal protein dystrophin triggers a complex pathogenesis in voluntary muscles that is characterized by highly progressive fibre degeneration, abnormal calcium homeostasis, fatty tissue replacement, reactive myofibrosis and sterile inflammation [2–4]. However, besides skeletal muscle wasting, patients afflicted with dystrophinopathy also exhibit a multitude of secondary alterations in the body, including respiratory insufficiency, cardiomyopathy, renal and urinary tract dysfunction, impaired bone metabolism, growth retardation, contractures of tendons, scoliosis and gastrointestinal symptoms [5–8], as well as non-progressive cognitive deficiencies in a subset of patients . In addition, the pathological survey of general organ changes in Duchenne patients revealed in most cases a marked atrophy of the liver, whereby liver shrinkage increased with patient age .
Liver atrophy was shown to occur concurrently with loss of skeletal muscle mass [10, 11] and liver changes were reported to be linked to heart failure in older Duchenne patients . Muscular dystrophy was also shown to be associated with an increased susceptibility to drug-induced hepatotoxicity [13, 14]. An interesting connection between dystrophic skeletal muscles and abnormal liver function is related to altered levels of the amino acid taurine. Physiological levels of taurine are crucial for the normal functioning of skeletal muscles and are related to the facilitation of excitation–contraction coupling, the modification of intracellular calcium homeostasis, membrane stabilization, the support of anti-oxidant defence mechanisms and the osmo-regulation of cellular volume . Deficiency of taurine in dystrophic mdx mice was shown to be associated with perturbations in taurine transport and altered metabolism in the liver . Thus, the dystrophic phenotype does not only feature impaired taurine metabolism in the skeletal musculature, but is also characterized by pathophysiological alterations of taurine handling in the liver, which can be rectified by increasing dietary taurine causing improved contractile strength . This positive effect of taurine is probably mediated via anti-inflammatory, anti-oxidant and cyto-protective mechanisms . Another interesting liver-related abnormality in the mdx mouse model of dystrophinopathy is decreased liver glycogen levels and hyperglycemia , which agrees with a mild glucose intolerance observed in Duchenne patients [20, 21]. Based on these findings, it was of interest to investigate whether the dystrophic phenotype is associated with proteome-wide changes in liver tissue.
Mass spectrometry-based proteomics has previously been used to study a variety of tissues and organs from dystrophic animal models, as summarized in several recent review articles [22–24]. The proteomic profiling of the mdx-4cv mouse model of Duchenne muscular dystrophy, which is characterized by a low frequency of revertant fibres [25–27], has established considerable changes in the dystrophin-deficient skeletal musculature, heart, brain and serum. Distinct alterations were shown to occur in proteins involved in the maintenance of the cytoskeletal network, the basal lamina and associated extracellular matrix, the regulation of ion homeostasis and excitation–contraction coupling, energy metabolism and the cellular stress response in various tissues from dystrophic animals [28–34]. In analogy, the comparative screening of crude liver extracts from mdx-4cv mice outlined in this report has shown distinct proteome-wide changes in a variety of enzymes, metabolite transporters, ion binding proteins, signalling molecules and structural proteins. Muscular dystrophy-related perturbations were identified to affect especially metabolic pathways in the liver, whereby the most drastically increased protein was identified as the FABP5 isoform of fatty acid binding protein and the most decreased protein as phosphoglycerate kinase isoform PGK1.
For the comparative proteomic analysis of liver tissue from wild type versus dystrophic mdx-4cv mice, a variety of general analytical grade reagents and materials were obtained from GE Healthcare (Little Chalfont, Buckinghamshire, UK), Bio-Rad Laboratories (Hemel-Hempstead, Hertfordshire, UK) and Sigma Chemical Company (Dorset, UK). National Diagnostics (Atlanta, GA, USA) supplied ultrapure acrylamide stock solutions. Sequencing grade-modified trypsin, Lys-C and Protease Max Surfactant Trypsin Enhancer were purchased from Promega (Madison, WI, USA) and Whatman nitrocellulose transfer membranes came from Invitrogen (Carlsbad, CA, USA). The chemiluminescence substrate and protease inhibitors were obtained from Roche Diagnostics (Mannheim, Germany). Primary antibodies were from Abcam, Cambridge, UK (antibodies ab129203 to fatty acid binding protein FABP-1; ab69090 to ferritin light chain; ab14734 to the voltage-dependent anion channel VDAC-1; ab85366 to carbonic anhydrase isoform CA3; and ab2413 to fibronectin), Novus Biologicals, Littleton, CO, USA (NBP2-15492 to asporin; and NBP1-80671 to the mitochondrial outer membrane protein translocation pore subunit TOM22), Leica Biosystems, Wetzlar, Germany (antibody NCL-DYS1 [clone Dy8/6C5] to dystrophin) and Cell Signaling Technology, Leiden, Netherlands (antibody 39926T to fatty acid binding protein FABP5). Chemicon International (Temecula, CA, USA) provided peroxidase-conjugated secondary antibodies. For immunofluorescence microscopy, normal goat serum, goat anti-rabbit Alexa Fluor 488 and goat anti-mouse IgG RRX (Rhodamine Red-X) were purchased from Molecular Probes, Life Technologies (Darmstadt, Germany) and Jackson ImmunoResearch (West Grove, PA, USA), respectively. The embedding medium Fluoromount G was from Southern Biotech (Birmingham, AL, USA).
Dystrophic mdx-4cv mouse model of Duchenne muscular dystrophy
The mdx-4cv mouse model is one of four chemical variants of the mdx mouse , generated on the C57/BL6 background by chemical mutagenesis using N-ethyl-nitrosourea . The resulting mutation at base 7916 in exon 53 of the dystrophin gene introduces a premature stop codon, thus abrogating dystrophin synthesis. For the identification of global alterations in the liver proteome of dystrophic mice, whole liver samples from 6-month-old control C57/BL6 mice and age-matched mdx-4cv mice were obtained from the Bioresource Unit of the University of Bonn . Mice were kept under standard conditions and all procedures adhered to German legislation on the use of animals in experimental research. The animals were sacrificed by cervical dislocation and livers were carefully dissected and quick-frozen in liquid nitrogen. Samples were transported to Maynooth University in accordance with the Department of Agriculture (animal by-product register number 2016/16 to the Department of Biology, National University of Ireland, Maynooth) on dry ice and stored at − 80 °C prior to analysis.
Preparation of liver homogenates from wild type and dystrophic mice
For the preparation of crude extracts, 100 mg of liver tissue from 6-month-old mdx-4cv mice (n = 4) and age-matched wild type mice (n = 4) was finely chopped and homogenised in 10 volumes of lysis buffer (6 M urea, 2 M thiourea, supplemented with a protease inhibitor cocktail ), using a hand-held IKA T10 Basic Homogeniser (IKA Labortechnik, Staufen, Germany). Homogenates were kept on ice for 1.5 h and were subsequently centrifuged at 14,000×g for 20 min at 4 °C . The protein-containing supernatant was removed and used for comparative proteomic analysis.
Sample preparation for label-free liquid chromatography mass spectrometry
Liver homogenates were treated using the Ready Prep 2D clean up kit from BioRad Laboratories, and re-suspended in label-free solubilisation buffer (6 M urea, 2 M thiourea, 10 mM Tris, pH 8.0 in LC–MS grade water). The protein concentrations were determined using the Bradford assay system  and sample volumes were then equalised with label-free solubilisation buffer. For mass spectrometric analysis, 10 µg of liver homogenate was reduced with 10 mM dithiothreitol for 30 min at room temperature, and alkylated with 25 mM iodoacetamide in 50 mM ammonium bicarbonate for 20 min at room temperature in the dark. A further 10 mM dithiothreitol was added and samples were incubated for 15 min at room temperature in the dark, to quench any unreacted iodoacetamide . Protein samples were first digested with sequencing grade Lys-C at a ratio of 1:100 (protease:protein) and incubated at 37 °C for 4 h. Samples were diluted with four times the initial sample volume with 50 mM ammonium bicarbonate, and 1 μl of a 1% w/v solution of Protease Max Surfactant Trypsin Enhancer was added , followed by digestion with sequencing grade-modified trypsin at a ratio of 1:25 (protease:protein) overnight at 37 °C. Proteolytic digestion was halted by the addition of 2% trifluoroacetic acid (TFA) in 20% acetonitrile (ACN) (3:1 (v/v) dilution). The peptides were purified using Pierce C18 spin columns from Thermo Fisher Scientific (Dublin, Ireland), dried through vacuum centrifugation and re-suspended in an appropriate volume of loading buffer (2% ACN, 0.05% TFA in LC–MS grade water). Peptide suspensions were vortexed, sonicated, and centrifuged briefly at 14,000×g before being transferred to mass spectrometry vials .
Label-free liquid chromatography mass spectrometry
Reverse-phased capillary high pressure liquid chromatography was carried out using the UltiMate 3000 nano system (Thermo Scientific) coupled directly in-line with the Thermo Orbitrap Fusion Tribrid Mass Spectrometer (Thermo Scientific). The digested samples were loaded onto the trapping column (PepMap100, C18, 300 μm × 5 mm) at a flow rate of 25 μl/min with 2% (v/v) ACN, 0.1% (v/v) TFA for 3 min before being resolved onto an analytical column (Easy-Spray C18 75 μm × 500 mm, 2 μm bead diameter column). Peptides were eluted using the following binary gradient: solvent A (0.1% (v/v) formic acid in LC–MS grade water) and 2–27.5% solvent B (80% (v/v) ACN, 0.08% (v/v) formic acid in LC–MS grade water) for 110 min at a flow rate of 300 nl/min. For peptide ionization, a voltage of 1.9 kV was applied and a capillary temperature of 320 °C was used. Data-dependent acquisition with full scans in the 375–1500 m/z range was performed using an Orbitrap mass analyser with a resolution of 120,000 (at m/z 200), a targeted automatic gain control (AGC) value of 4E+05 and a maximum injection time of 50 ms. The number of selected precursor ions for fragmentation was determined by the top-speed acquisition algorithm. Selected precursor ions were isolated in the Quadrupole instrument with an isolation width of 1.6 Da. Peptides with a charge state of 2+ to 6+ were analysed and a dynamic exclusion was applied after 60 s. Precursor ions were fragmented using higher energy collision-induced dissociation (HCD) with a normalized collision energy of 28%, and resulting MS/MS ions were measured in the linear ion trap. The typical MS/MS scan conditions were as follows: a targeted AGC value of 2E+04 and a maximum fill time of 35 ms.
Protein profiling by label-free LC–MS/MS
Progenesis QI for Proteomics software (version 3.1; Non-Linear Dynamics, a Waters company, Newcastle upon Tyne, UK) was used for the quantitative analysis of liver homogenates from wild type versus mdx-4cv mice. To account for potential drifts in retention time, a reference run was selected and all other runs were aligned to this run. The following settings were used to filter peptide features: (1) peptide features with ANOVA ≤ 0.05 between experimental groups, and (2) mass peaks with charge states from + 1 to + 5 and (3) greater than one isotope per peptide . A Mascot generic file (mgf) was generated from all exported MS/MS spectra, which was used for peptide and protein identification via Proteome Discoverer 2.1 (Thermo Scientific) using Sequest HT against the UniProtKB-SwissProt Mus musculus database. The following search parameters were used: (1) peptide mass tolerance set to 10 ppm, (2) MS/MS mass tolerance set to 0.6 Da, (3) up to two missed cleavages, (4) carbamidomethylation set as a fixed modification and (v) methionine oxidation set as a variable modification. For re-importation back into Progenesis LC–MS software as a PepXML file only highly confident peptides with a FDR of ≤ 0.01 as determined by Percolator validation in Proteome Discoverer were allowed . The following criteria were applied to assign proteins as positively identified: (1) an ANOVA score between experimental groups of ≤ 0.05, (2) proteins with ≥ 2 unique peptides matched and (3) a fold change ≥ 1.5. A heat map illustrating protein abundances for statistically significant and differentially abundant proteins was designed using Perseus software version 22.214.171.124. The normalised abundance values of differentially abundant proteins were determined using Progenesis QI for Proteomics and were loaded as a txt file into Perseus and the data was log2 transformed. Hierarchical clustering was then performed on Z-score normalised intensity values by clustering both samples and proteins using Euclidean distance and average linkage. The freely available software packages PANTHER  and STRING  were used to identify protein class and characterise potential protein interactions, respectively.
Comparative immunoblot analysis
Comparative immunoblotting was used as an orthogonal method for the independent verification of interesting proteins with a differential expression pattern in the liver of the mdx-4cv mouse model of Duchenne muscular dystrophy. Liver homogenates for immunoblot analysis were prepared in 2 × standard Laemmli-type buffer for one-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) , heated at 97 °C for 7 min and loaded onto hand-cast 10% SDS-PAGE gels. Proteins were transferred to nitrocellulose membranes, blocked in a milk protein solution (2.5% (w/v) fat-free milk powder in 10% phosphate-buffered saline) and incubated overnight in appropriately diluted primary antibody. Following a number of washing steps, membranes were incubated with peroxidase-conjugated secondary antibodies, and immuno-decorated protein bands visualized with the help of the enhanced chemiluminescence technique . Densitometric scanning and statistical analysis of immunoblots was performed using a HP PSC-2355 scanner and ImageJ software (NIH, Bethesda, MD, USA) along with Graph-Pad Prism software (San Diego, CA, USA), in which statistical significance was based on a p value ≤ 0.05.
Comparative histology and immunofluorescence microscopy
In order to establish the loss of the skeletal muscle dystrophin isoform Dp427-M in the mdx-4cv mouse model of dystrophinopathy and correlate it to potential changes in the liver, histological haematoxylin and eosin staining, as well as immunofluorescence microscopy were carried out by standardized methodology. Freshly dissected liver and muscle specimens from 6-month-old wild type and mdx-4cv mice were quick-frozen in liquid nitrogen-cooled isopentane and 10 µm sections cut in a cryostat . For dystrophin immuno-staining, unfixed cryosections were boiled in phosphate-buffered saline for 5 min as previously described in detail . For FABP5 staining, sections were fixed in a 1:1 (v/v) mixture of methanol and acetone for 10 min at room temperature and then blocked with 1:20 diluted normal goat serum for 30 min at room temperature. Primary antibodies to dystrophin and FABP5 were diluted appropriately in phosphate-buffered saline for overnight incubation at 4 °C. Tissue specimens were carefully washed and then incubated with fluorescently-labelled secondary antibodies, using either 1:200 diluted anti-rabbit Alexa Fluor 488 antibody or 1:200 diluted anti-mouse RRX antibody for 45 min at room temperature. Nuclei were counter-stained with 1 μg/ml bis-benzimide Hoechst 33342. Antibody-labelled liver and muscle tissue sections were embedded in Fluoromount G medium and viewed under a Zeiss Axioskop 2 epifluorescence microscope equipped with a digital Zeiss AxioCam HRc camera (Carl Zeiss Jena GmbH, Jena, Germany). For Sudan Black staining, fresh tissue sections were fixed in 10% formalin, washed under tap water, rinsed with distilled water and then exposed twice for 5 min to propylene glycol. Incubation with Sudan Black B (0.7 g dye in 100 ml propylene glycol) was carried out for 7 min with agitation, followed by 3 min in 85% propylene glycol, rinsing with distilled water, washing with tap water, another rinsing step with distilled water and finally mounting in an aqueous mounting media of glycerin jelly.
Proteomic profiling of crude extracts from mouse liver
Since the below outlined proteomic findings suggest considerable perturbations of fatty acid transportation and lipid metabolism, it was of interest to confirm the presence of key transporters and enzymes of lipid metabolism in this proteomic screening study. Important metabolic proteins were identified with high confidence in normal liver tissue including markers of (1) fatty acid transportation, including the main liver-specific fatty acid binding protein isoform FABP1 (L-FABP; P12710), as well as the intestinal isoform FABP2 (I-FABP,: P55050), the adipocyte isoform FABP4 (A-FABP; P04117) and the epidermal isoform FABP5 (E-FABP; Q05816), (2) enzymes of malonyl-CoA metabolism, such as acetyl-CoA carboxylase isoforms ACC1 (Q5SWU9) and ACC2 (E9Q4Z2) and fatty acid synthase (P19096), (3) acetyl-CoA transfer proteins, including the mitochondrial ACAT1 (Q8QZT1) and cytosolic ACAT2 (Q8CAY6) isoforms of acetyl-CoA acetyltransferase and liver carnitine O-palmitoyl-transferase CPTA1 (P97742), (4) proteins involved in fatty acid oxidation, including various mitochondrial short, branched, medium, long and very long chain specific acyl-CoA dehydrogenases (P51174, Q8K370, Q8JZN5, P45952, Q07417, P50544, Q9DBL1, Q80XL6) and 3-hydroxyacyl-CoA dehydrogenase (O08756), and (5) enzymes of ketone body metabolism, including the cytoplasmic HMGCS1 isoform (Q8JZK9) and mitochondrial HMGCS2 isoform (P54869) of hydroxyl-methylglutaryl-CoA synthase.
Proteomic profiling of liver tissue from the dystrophic mdx-4cv model of dystrophinopathy
Proteomic identification of liver proteins with an increased abundance in the mdx-4cv model of dystrophinopathy
Max fold change
Fatty acid-binding protein, epidermal
Cytochrome P450 2C29
Ig alpha chain C region
Ferritin light chain 1
Ferritin heavy chain
Fructose-bisphosphate aldolase C
Complement component C8 alpha chain
Epidermal growth factor receptor
Cytochrome P450 2C54
GDH/6PGL endoplasmic bifunctional protein
UDP-glucose:glycolprotein glucosyltransferase 1
Protein transport protein Sec31A
Selenium-binding protein 1
Glutathione S-transferase P 1
Alpha-2-macroglobulin receptor-associated protein
Endonuclease G, mitochondrial
3 beta-hydroxysteroid dehydrogenase type 5
Protein disulfide-isomerase A6
Kynurenine–oxoglutarate transaminase 1
Group XIIB secretory phospholipase A2-like protein
Fructose-bisphosphate aldolase A
Protein disulfide-isomerase A5
Keratin, type I cytoskeletal 18
Hypoxia up-regulated protein 1
Myeloid-derived growth factor
78 kDa glucose-regulated protein
Interferon-inducible GTPase 1
Early endosome antigen 1
Lysosomal protective protein
Peptidyl-prolyl cis–trans isomerase B
Ribosome-binding protein 1
Proteomic identification of liver proteins with a decreased abundance in the mdx-4cv model of dystrophinopathy
Max fold change
Phosphoglycerate kinase 1
Cytochrome P450 3A11
Fatty aldehyde dehydrogenase
Cysteine sulfinic acid decarboxylase
Glutathione S-transferase A1
Ig gamma-2B chain C region
Acyl-coenzyme A thioesterase 1
Ornithine aminotransferase, mitochondrial
Microsomal glutathione S-transferase 1
NADP-dependent malic enzyme
3-ketoacyl-CoA thiolase B, peroxisomal
Aldehyde oxidase 1
Alanine aminotransferase 2
Sulfite oxidase, mitochondrial
Carbonic anhydrase 3
Epoxide hydrolase 1
Serine protease inhibitor A3 K
l-serine dehydratase/l-threonine deaminase
Mitochondrial dicarboxylate carrier
S-adenosyl-methionine synthase isoform 1
Calcium-binding mitochondrial carrier protein Aralar2
Glutathione S-transferase theta-3
Isoform 5 of MIC complex subunit Mic60
O-acetyl-ADP-ribose deacetylase MACROD1
Phospholysine phosphohistidine inorganic pyrophosphate phosphatase
3-ketoacyl-CoA thiolase A, peroxisomal
4-aminobutyrate aminotransferase, mitochondrial
Betaine–homocysteine S-methyltransferase 1
Hemoglobin subunit beta-1
Glycerol-3-phosphate dehydrogenase, cytoplasmic
Glutathione S-transferase Mu 2
Long-chain-fatty-acid–CoA ligase 1
Persulfide dioxygenase ETHE1, mitochondrial
Ectonucleoside triphosphate diphospho-hydrolase 5
von Willebrand factor A domain-containing protein 8
3-hydroxyacyl-CoA dehydrogenase 2
Bioinformatics analysis of global protein changes in the mdx-4cv liver
Drastic increase of fatty acid binding protein FABP5 in the mdx-4cv liver
Immunoblot analysis of fatty acid binding protein FABP5 in the mdx-4cv liver
Immunofluorescence microscopical analysis of mdx-4cv skeletal muscle and liver
As the largest multi-functional internal organ in the body, the liver has a very broad variety of biochemical functions, including digestion, nutrient storage, the integration of key metabolic pathways, the essential detoxification of xenobiotic substances, protein synthesis and immunity . The transcriptome and proteome of human liver tissue has been extensively categorised by large-scale profiling studies [47–50] and detailed bioinformatics databases have been established that specifically focus on molecular hepatology in health and disease [51, 52]. Building on these data banks of liver protein expression, including findings from detailed cataloguing studies of the mouse liver proteome [53–55], we have used here a comparative proteomic approach to study potential changes in liver proteins due to X-linked muscular dystrophy. Drastic changes in the mdx-4cv liver were established for protein species involved in fatty acid metabolism, metabolite transportation, carbohydrate metabolism, amino acid metabolism, protein processing, ion handling, biotransformation and the cellular stress response. The finding that of all of the mass spectrometrically detected proteins only relatively few were identified as being differentially expressed is most likely due to the fact that the mdx-4cv liver is only indirectly affected in muscular dystrophy. In contrast to the drastic and primary effect of the loss of the full-length muscle isoform of dystrophin in contractile tissues, non-muscle cells and tissues that do not express the full-length dystrophin isoform might thus only exhibit relatively few proteome-wide changes. Instead secondary changes in metabolism might represent the main response of the liver to primary dystrophin deficiency-induced alterations in skeletal muscle, cardiac tissue, the central nervous system and the circulatory system.
One of the most intriguing findings of this study is the striking increase in fatty acid binding protein FABP5, which is indicative of specific changes in the binding of long-chain fatty acids and other lipophilic ligands , as well as alterations in associated cellular signalling events . Interestingly, the liver isoform FABP1 was shown not to be majorly affected in liver tissue in dystrophinopathy. Of note, a variety of FABP isoforms, including FABP1, FABP3 and FABP5, were identified by proteomics in serum from the mdx-4cv mouse  and Duchenne patients [58–60]. Since the well-characterized FABP isoforms 1–9 and 12 have a broad expression pattern in many tissues and organs throughout the body , it is not possible to properly correlate serum changes in individual FABP isoforms to specific pathophysiological shedding events in particular organs. FABPs belong to the class of intracellular lipid-binding proteins that are primarily involved in the reversible binding of hydrophobic ligands and their subcellular trafficking through major organellar systems . In addition, individual FABPs have also myokine and adipokine functions that regulate signalling events in relation to body-wide metabolic control. The drastic increase of FABP5 in the mdx-4cv liver would suggest this protein as a potential biomarker candidate of liver dysfunction in X-linked muscular dystrophy. However, changes in FABPs were previously shown to occur in many common disorders. Dysregulation was established for FABP3 in cardiovascular disorders [56, 61], FABP1, FABP2, FABP4 and FABP5 in non-alcoholic fatty liver disease [56, 62] and FABP5 and FABP7 in cancer [56, 63, 64]. Although this excludes the dystrophinopathy-associated change in liver FABP5 as a robust and highly specific biomarker of X-linked muscular dystrophy, altered FABP5 levels may nevertheless be useful as a general pathophysiological marker in conjunction with other disease indicators.
In general, enzymes involved in fatty acid metabolism were differentially affected in the mdx-4cv liver, including decreases in apolipoprotein A-II, fatty aldehyde dehydrogenase and acyl-coenzyme A thioesterase 1. Apolipoproteins are essential mediators of lipid binding and transportation through the lymphatic and circulatory systems, but also function as receptor ligands and enzyme cofactors. A key component of the detoxification pathway of saturated and unsaturated aldehydes, which arise from lipid peroxidation, is the fatty aldehyde dehydrogenase that converts long-chain aliphatic aldehydes to fatty acids. The regulation of intracellular levels of acyl-CoA and free fatty acids is related to the activity levels of acyl-CoA thioesterases, which catalyses the hydrolysis of acyl-CoA molecules to coenzyme A and free fatty acids [65, 66]. In addition, the essential modulators of lipid metabolism, perilipin-2 and perilipin-3, were shown to be reduced in the mdx-4cv liver. During lipogenesis in the liver, excess energy is stored as triacylglycerol units in the form of lipid droplets, and this stored energy is released again by hydrolysis in lipolytic pathways . The family of cytosolic lipid droplet coat proteins, named perilipin PLIN1 to 5, coordinate this process of lipid storage, reactivation and utilization. Pathophysiological imbalances of lipid droplet homeostasis may trigger lipocytotoxicity . Thus, the changed perilipin levels identified in this proteomic study suggest that the physiological regulation of lipid accumulation and release of triacylglycerol appears to be altered in the liver in muscular dystrophy. This may play a role in the overall perturbation of lipid metabolism in dystrophinopathy.
The proteomic profile of the mdx-4cv liver showed differential changes in the concentration of enzymes involved in cellular carbohydrate metabolism, including increases in triokinase, which catalyses the phosphorylation of both glyceraldehyde and dihydroxyacetone . A disturbed regulation of carbohydrate metabolism may be the underlying cause of decreased liver glycogen levels  and a mild glucose intolerance in dystrophinopathy [20, 21]. Opposite concentration changes were established for two key enzymes of glycolysis, i.e. increases in fructose-bisphosphate aldolase and decreases in phosphoglycerate kinase. Aldolase mediates the reversible reaction that breaks down fructose-1,6-biphosphate into dihydroxyacetone phosphate and glyceraldehyde-3-phosphate in the glycolytic pathway. Phosphoglycerate kinase catalysis a crucial ATP-generating transfer reaction in glycolysis by forming 3-phosphoglycerate from ADP and 1,3-bisphosphoglycerate. During gluconeogenesis, phosphoglycerate kinase catalyses the reverse reaction, making it a key regulator of glucose metabolism . Differential changes in glycolytic enzymes were also observed in dystrophic skeletal muscle and cardiac tissue [29, 33, 36, 71, 72]. These findings suggest considerable secondary and body-wide changes in carbohydrate metabolism due to dystrophin deficiency. However, besides their metabolic functions, glycolytic enzymes exhibit a multifaceted role in transcriptional regulation, stimulation of cell motility and the regulation of cell death . These non-glycolytic functions appear to link metabolism to epigenetic and transcription programs  and might also be affected in dystrophinopathy.
Besides alterations in key metabolic processes, mass spectrometry identified significant increases in two essential ion-binding proteins, e.g. calumenin and ferritin. Their elevated levels in the mdx-4cv liver might present compensatory mechanisms to counter-act abnormal calcium handling and iron toxicity. Calumenin is a relatively low-affinity Ca2+-binding protein, which plays a biochemical role in protein folding and sorting mechanisms in the endoplasmic reticulum. In the secretory pathway of the endoplasmic reticulum, calumenin regulates the activity of the SERCA2a isoform of the Ca2+-pumping ATPase and the ryanodine receptor Ca2+-release channel . Hence, up-regulation of calumenin might counter-act disturbed calcium homeostasis in the mdx-4cv liver. In analogy, the increased concentration of the light and heavy chains of liver ferritin might act as a cytosolic iron-buffering system in the mdx-4cv liver that prevents a detrimental iron imbalance. Both, iron deficiency or iron overload may trigger abnormal cellular functions  and therefore has to be properly balanced by abundant intracellular iron-binding proteins . The ferritin type of iron-binding proteins sequester and release iron in a highly regulated way and serve in most tissues a dual physiological function, which provides both a pathway for efficient iron detoxification and storage of a cellular iron reserve . Besides the liver, ferritin light and heavy chains were previously also shown to be drastically increased in dystrophin-deficient heart tissue  and skeletal muscle [29, 79, 80]. In addition, urinary ferritin levels are greatly increased in young Duchenne patients and are suggested to be functionally linked to the renal management of myoglobin iron that derived from the disintegration of dystrophic muscles . These findings suggest that elevated levels of ferritin in the dystrophic phenotype act as a physiological buffer against a potential iron overload.
Besides the above discussed alterations in mostly metabolic proteins, including abundant enzymes, transporters and binding proteins, less pronounced changes were identified in various markers of cytoskeletal maintenance, biotransformation, anti-oxidative mechanisms, protease activity, regulation of cellular growth and differentiation, and the cellular stress response. Established markers of this wide range of processes in the liver are epiplakin, cytochrome P450 isoforms, glutathione transferases, peroxiredoxin, carboxypeptidase, alpha-1-antitrypsin, epidermal growth factor receptor, galectin, protein disulfide isomerase and molecular chaperones. These complex and proteome-wide changes in the mdx-4cv liver suggest general perturbations of hepatic function in X-linked muscular dystrophy. Since increasing dietary taurine was shown to increase contractile strength in dystrophinopathy , it will be interesting to evaluate in future studies whether elevated taurine levels trigger an anti-inflammatory, anti-oxidant and/or cyto-protective response  and possibly improve transport and metabolism of this amino acid in the liver from dystrophic organisms .
Previous studies on liver abnormalities in Duchenne muscular dystrophy have established that liver atrophy occurs concurrently with skeletal muscle wasting and that this secondary pathology may be linked to heart failure in older patients suffering from dystrophinopathy. In addition, an increased susceptibility to drug-induced hepatotoxicity is associated with X-linked muscular dystrophy. The comparative proteomic study of the dystrophic mdx-4cv mouse model of dystrophinopathy outlined in this report confirms liver abnormalities and identified expression changes in a variety of liver proteins due to dystrophin deficiency. The systematic mass spectrometric survey of the mdx-4cv liver suggests that liver metabolism is perturbed and increased levels of the fatty acid binding protein FABP5 appear to be a major pathobiochemical feature of the dystrophic mdx-4cv phenotype. A variety of changes in other metabolic enzymes, binding proteins and transporters may present adaptations or compensatory mechanisms to prevent cellular complications due to lipocytotoxicity or iron overload in an organism that lacks the membrane cytoskeletal protein dystrophin.
DS, PM and KO conceived the experiments; SM, MZ and RM performed the experiments; SM and MH analysed the data; all authors were involved in writing the manuscript. All authors read and approved the final manuscript.
Research was supported by a Hume scholarship from Maynooth University, and project grants from Muscular Dystrophy Ireland and the Irish Health Research Board (HRB/MRCG-2016-20). The Orbitrap Fusion Tribrid mass spectrometer was funded under a Science Foundation Ireland Infrastructure Award to Dublin City University (SFI 16/RI/3701).
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Guiraud S, Aartsma-Rus A, Vieira NM, Davies KE, van Ommen GJ, Kunkel LM. The pathogenesis and therapy of muscular dystrophies. Annu Rev Genom Hum Genet. 2015;16:281–308.View ArticleGoogle Scholar
- Shin J, Tajrishi MM, Ogura Y, Kumar A. Wasting mechanisms in muscular dystrophy. Int J Biochem Cell Biol. 2013;45:2266–79.View ArticleGoogle Scholar
- Allen DG, Whitehead NP, Froehner SC. Absence of dystrophin disrupts skeletal muscle signaling: roles of Ca2+, reactive oxygen species, and nitric oxide in the development of muscular dystrophy. Physiol Rev. 2016;96:253–305.View ArticleGoogle Scholar
- Ohlendieck K, Swandulla D. Molecular pathogenesis of Duchenne muscular dystrophy-related fibrosis. Pathologe. 2017;38:21–9.View ArticleGoogle Scholar
- Goemans N, Buyse G. Current treatment and management of dystrophinopathies. Curr Treat Options Neurol. 2014;16:287.View ArticleGoogle Scholar
- Birnkrant DJ, Bushby K, Bann CM, Apkon SD, Blackwell A, Brumbaugh D, Case LE, Clemens PR, Hadjiyannakis S, Pandya S, Street N, Tomezsko J, Wagner KR, Ward LM, Weber DR, DMD Care Considerations Working Group. Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and neuromuscular, rehabilitation, endocrine, and gastrointestinal and nutritional management. Lancet Neurol. 2018;17:251–67.View ArticleGoogle Scholar
- Birnkrant DJ, Bushby K, Bann CM, Alman BA, Apkon SD, Blackwell A, Case LE, Cripe L, Hadjiyannakis S, Olson AK, Sheehan DW, Bolen J, Weber DR, Ward LM, DMD Care Considerations Working Group. Diagnosis and management of Duchenne muscular dystrophy, part 2: respiratory, cardiac, bone health, and orthopaedic management. Lancet Neurol. 2018;17:347–61.View ArticleGoogle Scholar
- Birnkrant DJ, Bushby K, Bann CM, Apkon SD, Blackwell A, Colvin MK, Cripe L, Herron AR, Kennedy A, Kinnett K, Naprawa J, Noritz G, Poysky J, Street N, Trout CJ, Weber DR, Ward LM, DMD Care Considerations Working Group. Diagnosis and management of Duchenne muscular dystrophy, part 3: primary care, emergency management, psychosocial care, and transitions of care across the lifespan. Lancet Neurol. 2018;17:445–55.View ArticleGoogle Scholar
- Snow WM, Anderson JE, Jakobson LS. Neuropsychological and neurobehavioral functioning in Duchenne muscular dystrophy: a review. Neurosci Biobehav Rev. 2013;37:743–52.View ArticleGoogle Scholar
- Moriuchi T, Fujii Y, Kagawa N, Hizawa K. Autopsy study on the weight of the heart, liver, kidney and brain in Duchenne muscular dystrophy. Tokushima J Exp Med. 1991;38:5–13.PubMedGoogle Scholar
- Veropalumbo C, Del Giudice E, Capuano G, Gentile C, Di Cosmo N, Vajro P. Duchenne and Becker muscular dystrophy presenting as nonalcoholic fatty liver disease. J Pediatr Gastroenterol Nutr. 2011;53:463–4.View ArticleGoogle Scholar
- Politano L, Nigro G. Treatment of dystrophinopathic cardiomyopathy: review of the literature and personal results. Acta Myol. 2012;31:24–30.PubMedPubMed CentralGoogle Scholar
- Hynson JL, South M. Childhood hepatotoxicity with paracetamol doses less than 150 mg/kg per day. Med J Aust. 1999;171:497.PubMedGoogle Scholar
- Pearce B, Grant IS. Acute liver failure following therapeutic paracetamol administration in patients with muscular dystrophies. Anaesthesia. 2008;63:89–91.View ArticleGoogle Scholar
- Spriet LL, Whitfield J. Taurine and skeletal muscle function. Curr Opin Clin Nutr Metab Care. 2015;18:96–101.View ArticleGoogle Scholar
- Terrill JR, Grounds MD, Arthur PG. Taurine deficiency, synthesis and transport in the mdx mouse model for Duchenne muscular dystrophy. Int J Biochem Cell Biol. 2015;66:141–8.View ArticleGoogle Scholar
- Terrill JR, Pinniger GJ, Graves JA, Grounds MD, Arthur PG. Increasing taurine intake and taurine synthesis improves skeletal muscle function in the mdx mouse model for Duchenne muscular dystrophy. J Physiol. 2016;594:3095–110.View ArticleGoogle Scholar
- De Luca A, Pierno S, Camerino DC. Taurine: the appeal of a safe amino acid for skeletal muscle disorders. J Transl Med. 2015;13:243.View ArticleGoogle Scholar
- Stapleton DI, Lau X, Flores M, Trieu J, Gehrig SM, Chee A, Naim T, Lynch GS, Koopman R. Dysfunctional muscle and liver glycogen metabolism in mdx dystrophic mice. PLoS ONE. 2014;9:e91514.View ArticleGoogle Scholar
- Freidenberg GR, Olefsky JM. Dissociation of insulin resistance and decreased insulin receptor binding in Duchenne muscular dystrophy. J Clin Endocrinol Metab. 1985;60:320–7.View ArticleGoogle Scholar
- Saure C, Caminiti C, Weglinski J, de Castro Perez F, Monges S. Energy expenditure, body composition, and prevalence of metabolic disorders in patients with Duchenne muscular dystrophy. Diabetes Metab Syndr. 2018;12:81–5.View ArticleGoogle Scholar
- Murphy S, Ohlendieck K. The biochemical and mass spectrometric profiling of the dystrophin complexome from skeletal muscle. Comput Struct Biotechnol J. 2015;14:20–7.View ArticleGoogle Scholar
- Holland A, Murphy S, Dowling P, Ohlendieck K. Pathoproteomic profiling of the skeletal muscle matrisome in dystrophinopathy associated myofibrosis. Proteomics. 2016;16:345–66.View ArticleGoogle Scholar
- Carr SJ, Zahedi RP, Lochmüller H, Roos A. Mass spectrometry-based protein analysis to unravel the tissue pathophysiology in Duchenne muscular dystrophy. Proteom Clin Appl. 2018. https://doi.org/10.1002/prca.201700071.View ArticleGoogle Scholar
- Shin JH, Hakim CH, Zhang K, Duan D. Genotyping mdx, mdx3cv, and mdx4cv mice by primer competition polymerase chain reaction. Muscle Nerve. 2011;43:283–6.View ArticleGoogle Scholar
- Danko I, Chapman V, Wolff JA. The frequency of revertants in mdx mouse genetic models for Duchenne muscular dystrophy. Pediatr Res. 1992;32:128–31.View ArticleGoogle Scholar
- Partridge TA. The mdx mouse model as a surrogate for Duchenne muscular dystrophy. FEBS J. 2013;280:4177–86.View ArticleGoogle Scholar
- Holland A, Dowling P, Meleady P, Henry M, Zweyer M, Mundegar RR, Swandulla D, Ohlendieck K. Label-free mass spectrometric analysis of the mdx-4cv diaphragm identifies the matricellular protein periostin as a potential factor involved in dystrophinopathy-related fibrosis. Proteomics. 2015;15:2318–31.View ArticleGoogle Scholar
- Murphy S, Zweyer M, Mundegar RR, Henry M, Meleady P, Swandulla D, Ohlendieck K. Concurrent label-free mass spectrometric analysis of dystrophin isoform Dp427 and the Myofibrosis marker collagen in crude extracts from mdx-4cv skeletal muscles. Proteomes. 2015;3:298–327.View ArticleGoogle Scholar
- Murphy S, Henry M, Meleady P, Zweyer M, Mundegar RR, Swandulla D, Ohlendieck K. Simultaneous pathoproteomic evaluation of the dystrophin-glycoprotein complex and secondary changes in the mdx-4cv mouse model of Duchenne muscular dystrophy. Biology (Basel). 2015;4:397–423.PubMedPubMed CentralGoogle Scholar
- Murphy S, Zweyer M, Henry M, Meleady P, Mundegar RR, Swandulla D, Ohlendieck K. Proteomic analysis of the sarcolemma-enriched fraction from dystrophic mdx-4cv skeletal muscle. J Proteom. 2018. https://doi.org/10.1016/j.jprot.2018.01.015.View ArticleGoogle Scholar
- Murphy S, Dowling P, Zweyer M, Henry M, Meleady P, Mundegar RR, Swandulla D, Ohlendieck K. Proteomic profiling of mdx-4cv serum reveals highly elevated levels of the inflammation-induced plasma marker haptoglobin in muscular dystrophy. Int J Mol Med. 2017;39:1357–70.View ArticleGoogle Scholar
- Murphy S, Dowling P, Zweyer M, Mundegar RR, Henry M, Meleady P, Swandulla D, Ohlendieck K. Proteomic analysis of dystrophin deficiency and associated changes in the aged mdx-4cv heart model of dystrophinopathy-related cardiomyopathy. J Proteom. 2016;145:24–36.View ArticleGoogle Scholar
- Murphy S, Zweyer M, Henry M, Meleady P, Mundegar RR, Swandulla D, Ohlendieck K. Label-free mass spectrometric analysis reveals complex changes in the brain proteome from the mdx-4cv mouse model of Duchenne muscular dystrophy. Clin Proteom. 2015;12:27.View ArticleGoogle Scholar
- Chapman VM, Miller DR, Armstrong D, Caskey CT. Recovery of induced mutations for X chromosome-linked muscular dystrophy in mice. Proc Natl Acad Sci USA. 1989;86:1292–6.View ArticleGoogle Scholar
- Holland A, Henry M, Meleady P, Winkler CK, Krautwald M, Brinkmeier H, Ohlendieck K. Comparative Label-free mass spectrometric analysis of mildly versus severely affected mdx mouse skeletal muscles identifies annexin, lamin, and vimentin as universal dystrophic markers. Molecules. 2015;20:11317–44.View ArticleGoogle Scholar
- Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem. 1976;72:248–54.View ArticleGoogle Scholar
- Murphy S, Ohlendieck K. Proteomic profiling of large myofibrillar proteins from dried and long-term stored polyacrylamide gels. Anal Biochem. 2018;543:8–11.View ArticleGoogle Scholar
- Deslyper G, Colgan TJ, Cooper AJ, Holland CV, Carolan JC. A proteomic investigation of hepatic resistance to ascaris in a murine model. PLoS Negl Trop Dis. 2016;10:e0004837.View ArticleGoogle Scholar
- O’Sullivan F, Keenan J, Aherne S, O’Neill F, Clarke C, Henry M, Meleady P, Breen L, Barron N, Clynes M, Horgan K, Doolan P, Murphy R. Parallel mRNA, proteomics and miRNA expression analysis in cell line models of the intestine. World J Gastroenterol. 2017;23:7369–86.View ArticleGoogle Scholar
- Mi H, Huang X, Muruganujan A, Tang H, Mills C, Kang D, Thomas PD. PANTHER version 11: expanded annotation data from gene ontology and reactome pathways, and data analysis tool enhancements. Nucleic Acids Res. 2017;45:D183–9.View ArticleGoogle Scholar
- Szklarczyk D, Morris JH, Cook H, Kuhn M, Wyder S, Simonovic M, Santos A, Doncheva NT, Roth A, Bork P, Jensen LJ, von Mering C. The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible. Nucleic Acids Res. 2017;45:D362–8.View ArticleGoogle Scholar
- Brunelle JL, Green R. One-dimensional SDS-polyacrylamide gel electrophoresis (1D SDS-PAGE). Methods Enzymol. 2014;541:151–9.View ArticleGoogle Scholar
- Mundegar RR, Franke E, Schäfer R, Zweyer M, Wernig A. Reduction of high background staining by heating unfixed mouse skeletal muscle tissue sections allows for detection of thermostable antigens with murine monoclonal antibodies. J Histochem Cytochem. 2008;56:969–75.View ArticleGoogle Scholar
- Smathers RL, Petersen DR. The human fatty acid-binding protein family: evolutionary divergences and functions. Hum Genom. 2011;5:170–91.View ArticleGoogle Scholar
- Ishibashi H, Nakamura M, Komori A, Migita K, Shimoda S. Liver architecture, cell function, and disease. Semin Immunopathol. 2009;31:399–409.View ArticleGoogle Scholar
- Kampf C, Mardinoglu A, Fagerberg L, Hallström BM, Edlund K, Lundberg E, Pontén F, Nielsen J, Uhlen M. The human liver-specific proteome defined by transcriptomics and antibody-based profiling. FASEB J. 2014;28:2901–14.View ArticleGoogle Scholar
- Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edlund K, Lundberg E, Navani S, Szigyarto CA, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist PH, Berling H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F. Proteomics. Tissue-based map of the human proteome. Science. 2015;347:1260419.View ArticleGoogle Scholar
- Kim MS, Pinto SM, Getnet D, Nirujogi RS, Manda SS, Chaerkady R, Madugundu AK, Kelkar DS, Isserlin R, Jain S, Thomas JK, Muthusamy B, Leal-Rojas P, Kumar P, Sahasrabuddhe NA, Balakrishnan L, Advani J, George B, Renuse S, Selvan LD, Patil AH, Nanjappa V, Radhakrishnan A, Prasad S, Subbannayya T, Raju R, Kumar M, Sreenivasamurthy SK, Marimuthu A, Sathe GJ, Chavan S, Datta KK, Subbannayya Y, Sahu A, Yelamanchi SD, Jayaram S, Rajagopalan P, Sharma J, Murthy KR, Syed N, Goel R, Khan AA, Ahmad S, Dey G, Mudgal K, Chatterjee A, Huang TC, Zhong J, Wu X, Shaw PG, Freed D, Zahari MS, Mukherjee KK, Shankar S, Mahadevan A, Lam H, Mitchell CJ, Shankar SK, Satishchandra P, Schroeder JT, Sirdeshmukh R, Maitra A, Leach SD, Drake CG, Halushka MK, Prasad TS, Hruban RH, Kerr CL, Bader GD, Iacobuzio-Donahue CA, Gowda H, Pandey A. A draft map of the human proteome. Nature. 2014;509:575–81.View ArticleGoogle Scholar
- Wilhelm M, Schlegl J, Hahne H, Gholami AM, Lieberenz M, Savitski MM, Ziegler E, Butzmann L, Gessulat S, Marx H, Mathieson T, Lemeer S, Schnatbaum K, Reimer U, Wenschuh H, Mollenhauer M, Slotta-Huspenina J, Boese JH, Bantscheff M, Gerstmair A, Faerber F, Kuster B. Mass-spectrometry-based draft of the human proteome. Nature. 2014;509:582–7.View ArticleGoogle Scholar
- Teufel A. Bioinformatics and database resources in hepatology. J Hepatol. 2015;62:712–9.View ArticleGoogle Scholar
- Zhang Y, Yang C, Wang S, Chen T, Li M, Wang X, Li D, Wang K, Ma J, Wu S, Zhang X, Zhu Y, Wu J, He F. LiverAtlas: a unique integrated knowledge database for systems-level research of liver and hepatic disease. Liver Int. 2013;33(8):1239–48.View ArticleGoogle Scholar
- Gazzana G, Borlak J. An update on the mouse liver proteome. Proteome Sci. 2009;7:35.View ArticleGoogle Scholar
- Azimifar SB, Nagaraj N, Cox J, Mann M. Cell-type-resolved quantitative proteomics of murine liver. Cell Metab. 2014;20:1076–87.View ArticleGoogle Scholar
- Ding C, Li Y, Guo F, Jiang Y, Ying W, Li D, Yang D, Xia X, Liu W, Zhao Y, He Y, Li X, Sun W, Liu Q, Song L, Zhen B, Zhang P, Qian X, Qin J, He F. A cell-type-resolved liver proteome. Mol Cell Proteom. 2016;15:3190–202.View ArticleGoogle Scholar
- Thumser AE, Moore JB, Plant NJ. Fatty acid binding proteins: tissue-specific functions in health and disease. Curr Opin Clin Nutr Metab Care. 2014;17:124–9.View ArticleGoogle Scholar
- Jung J, Wang J, Groenendyk J, Lee D, Michalak M, Agellon LB. Fatty acid binding protein (Fabp) 5 interacts with the calnexin cytoplasmic domain at the endoplasmic reticulum. Biochem Biophys Res Commun. 2017;493:202–6.View ArticleGoogle Scholar
- Hathout Y, Brody E, Clemens PR, Cripe L, DeLisle RK, Furlong P, Gordish-Dressman H, Hache L, Henricson E, Hoffman EP, Kobayashi YM, Lorts A, Mah JK, McDonald C, Mehler B, Nelson S, Nikrad M, Singer B, Steele F, Sterling D, Sweeney HL, Williams S, Gold L. Large-scale serum protein biomarker discovery in Duchenne muscular dystrophy. Proc Natl Acad Sci USA. 2015;112:7153–8.View ArticleGoogle Scholar
- Burch PM, Pogoryelova O, Goldstein R, Bennett D, Guglieri M, Straub V, Bushby K, Lochmüller H, Morris C. Muscle-derived proteins as serum biomarkers for monitoring disease progression in three forms of muscular dystrophy. J Neuromuscul Dis. 2015;2:241–55.View ArticleGoogle Scholar
- Hathout Y, Seol H, Han MH, Zhang A, Brown KJ, Hoffman EP. Clinical utility of serum biomarkers in Duchenne muscular dystrophy. Clin Proteom. 2016;13:9.View ArticleGoogle Scholar
- Hoffmann U, Espeter F, Weiß C, Ahmad-Nejad P, Lang S, Brueckmann M, Akin I, Neumaier M, Borggrefe M, Behnes M. Ischemic biomarker heart-type fatty acid binding protein (hFABP) in acute heart failure—diagnostic and prognostic insights compared to NT-proBNP and troponin I. BMC Cardiovasc Disord. 2015;15:50.View ArticleGoogle Scholar
- Urasaki Y, Zhang C, Cheng JX, Le TT. Quantitative assessment of liver steatosis and affected pathways with molecular imaging and proteomic profiling. Sci Rep. 2018;8:3606.View ArticleGoogle Scholar
- Ohata T, Yokoo H, Kamiyama T, Fukai M, Aiyama T, Hatanaka Y, Hatanaka K, Wakayama K, Orimo T, Kakisaka T, Kobayashi N, Matsuno Y, Taketomi A. Fatty acid-binding protein 5 function in hepatocellular carcinoma through induction of epithelial-mesenchymal transition. Cancer Med. 2017;6:1049–61.View ArticleGoogle Scholar
- Wang W, Chu HJ, Liang YC, Huang JM, Shang CL, Tan H, Liu D, Zhao YH, Liu TY, Yao SZ. FABP5 correlates with poor prognosis and promotes tumor cell growth and metastasis in cervical cancer. Tumour Biol. 2016;37:14873–83.View ArticleGoogle Scholar
- Wakil SJ, Abu-Elheiga LA. Fatty acid metabolism: target for metabolic syndrome. J Lipid Res. 2009;50(Suppl):S138–43.View ArticleGoogle Scholar
- Alves-Bezerra M, Cohen DE. Triglyceride Metabolism in the Liver. Compr Physiol. 2017;8:1–8.PubMedGoogle Scholar
- Ducharme NA, Bickel PE. Lipid droplets in lipogenesis and lipolysis. Endocrinology. 2008;149:942–9.View ArticleGoogle Scholar
- Sztalryd C, Kimmel AR. Perilipins: lipid droplet coat proteins adapted for tissue-specific energy storage and utilization, and lipid cytoprotection. Biochimie. 2014;96:96–101.View ArticleGoogle Scholar
- Hagopian K, Ramsey JJ, Weindruch R. Enzymes of glycerol and glyceraldehyde metabolism in mouse liver: effects of caloric restriction and age on activities. Biosci Rep. 2008;28:107–15.PubMedPubMed CentralGoogle Scholar
- Ohlendieck K. Proteomics of skeletal muscle glycolysis. Biochim Biophys Acta. 2010;1804:2089–101.View ArticleGoogle Scholar
- Doran P, Martin G, Dowling P, Jockusch H, Ohlendieck K. Proteome analysis of the dystrophin-deficient MDX diaphragm reveals a drastic increase in the heat shock protein cvHSP. Proteomics. 2006;6:4610–21.View ArticleGoogle Scholar
- Holland A, Dowling P, Zweyer M, Swandulla D, Henry M, Clynes M, Ohlendieck K. Proteomic profiling of cardiomyopathic tissue from the aged mdx model of Duchenne muscular dystrophy reveals a drastic decrease in laminin, nidogen and annexin. Proteomics. 2013;13:2312–23.View ArticleGoogle Scholar
- Kim JW, Dang CV. Multifaceted roles of glycolytic enzymes. Trends Biochem Sci. 2005;30:142–50.View ArticleGoogle Scholar
- Yu X, Li S. Non-metabolic functions of glycolytic enzymes in tumorigenesis. Oncogene. 2017;36:2629–36.View ArticleGoogle Scholar
- Mazzorana M, Hussain R, Sorensen T. Ca-dependent folding of human calumenin. PLoS ONE. 2016;11:e0151547.View ArticleGoogle Scholar
- Wang J, Pantopoulos K. Regulation of cellular iron metabolism. Biochem J. 2011;434:365–81.View ArticleGoogle Scholar
- Crichton RR, Declercq JP. X-ray structures of ferritins and related proteins. Biochim Biophys Acta. 2010;1800:706–18.View ArticleGoogle Scholar
- Harrison PM, Arosio P. The ferritins: molecular properties, iron storage function and cellular regulation. Biochim Biophys Acta. 1996;1275:161–203.View ArticleGoogle Scholar
- Carberry S, Zweyer M, Swandulla D, Ohlendieck K. Proteomics reveals drastic increase of extracellular matrix proteins collagen and dermatopontin in the aged mdx diaphragm model of Duchenne muscular dystrophy. Int J Mol Med. 2012;30:229–34.View ArticleGoogle Scholar
- Carberry S, Brinkmeier H, Zhang Y, Winkler CK, Ohlendieck K. Comparative proteomic profiling of soleus, extensor digitorum longus, flexor digitorum brevis and interosseus muscles from the mdx mouse model of Duchenne muscular dystrophy. Int J Mol Med. 2013;32:544–56.View ArticleGoogle Scholar
- Rouillon J, Lefebvre T, Denard J, Puy V, Daher R, Ausseil J, Zocevic A, Fogel P, Peoc’h K, Wong B, Servais L, Voit T, Puy H, Karim Z, Svinartchouk F. High urinary ferritin reflects myoglobin iron evacuation in DMD patients. Neuromuscul Disord. 2018;28:564–71.View ArticleGoogle Scholar