| Literature DB >> 31594244 |
G Diane Shelton1, Katie M Minor2, Kefeng Li3, Jane C Naviaux4, Jon Monk3, Lin Wang3, Elizabeth Guzik2, Ling T Guo1, Vito Porcelli5, Ruggiero Gorgoglione5, Francesco M Lasorsa6, Peter J Leegwater7, Antonio M Persico8, James R Mickelson2, Luigi Palmieri5,6, Robert K Naviaux1,3,9,10.
Abstract
BACKGROUND: Inflammatory myopathies are characterized by infiltration of inflammatory cells into muscle. Typically, immune-mediated disorders such as polymyositis, dermatomyositis and inclusion body myositis are diagnosed.Entities:
Keywords: Canine; SLC25A12; metabolomics; mitochondrial transporter; myopathy
Mesh:
Substances:
Year: 2019 PMID: 31594244 PMCID: PMC6918910 DOI: 10.3233/JND-190421
Source DB: PubMed Journal: J Neuromuscul Dis
Fig. 1A. A Dutch shepherd dog affected with the p.L349P mutation showed a myopathic stance including a hunched back and muscle wasting B. Representative H&E stained cryosection of a biopsy from the biceps femoris muscle showed excessive variability in myofiber size, numerous atrophic fibers having a round shape, multifocal areas of mixed mononuclear cell infiltrations having an endomysial and perimysial distribution, scattered necrotic fibers undergoing phagocytosis and moderate endomysial fibrosis. C. Cryosections were reacted and stained for localization of the mitochondrial specific oxidative enzymes succinic dehydrogenase (SDH), cytochrome C oxidase (COX) and for combined SDH and COX. No specific abnormalities were identified that would support an abnormal number or distribution of mitochondria, or fibers devoid of oxidative activity. D. Infiltrating cells identified by immunofluorescent microscopy were predominantly CD3+ T cells, with variable numbers of CD4+ and CD8+ T cells. Scattered CD11c+ macrophage/dendritic cells and rare CD21+ B lymphocytes were also noted. Several regenerating myofibers were localized with the antibody against developmental myosin heavy chain (dMHC). Both MHC class I and MHC class II antigens were expressed on the sarcolemma of morphologically normal and abnormal myofibers independent of foci of cellular infiltrates. Staining for dysferlin, which can be associated with inflammatory changes in limb girdle muscular dystrophy type 2B, was similar to control muscle.
Fig. 2Pedigree depiction of 5 cases from 2 litters resulting from the same sire and two different females. Genotypes for the SLC25A12 mutation identified in this study are provided and a putative female founder is indicated with red shading.
Fig. 3Haplotypes from the region on CFA36 identified by homozygosity mapping. Included are the 5 cases with histopathology-confirmed myopathy (red) and 5 healthy controls >2 years old. The controls consisted of 2 of parents and 3 full-sibs (blue). Both haplotypes from each individual are provided, with 3 areas of homozygosity in the cases observed as clear areas underneath the nucleotide positions.
Fig. 4Biochemical and bioinformatic analysis of the SLC25A12 variant. A. Structural homology model of the C. lupus C-terminal domain of the mitochondrial aspartate/glutamate carrier 1 (AGC1). The amino acid position of Leu349 that is mutated in Pro is shown in the box. B. Sequence alignment of AGC1 from different organisms (upper panel) and other members of the mitochondrial carrier family in Canis lupus familiaris (lower panel). C. Functional characterization of wild-type (WT) and mutated AGC1 form. The uptake rate of (14C) glutamate or (14C) aspartate was measured by adding 1 mM of radiolabeled glutamate or aspartate to liposomes reconstituted with purified WT AGC or with the mutant p.L349P and containing 20 mM of glutamate. The transport reaction was terminated after 1 min by adding 20mM pyridoxal 5′-phosphate and bathophenanthroline. The means and SDs from three independent experiments are shown.
Rank order of discriminating biochemical pathways
| No. | Pathway Name | Measured Metabolites in the Pathway (N) | Expected Pathway Proportion ( | Expected Hits in Sample of 52 (P * 52) | Observed Hits in the Top 52 Metabolites | Fold Enrichment (Obs/Exp) | Impact (Sum VIP Scores) | Fraction of Impact Explained (% of 96.8) | Increased | Decreased |
| 1 | Phospholipid Metabolism | 75 | 0.196 | 10.2 | 13 | 1.3 | 25.63 | 26% | 12 | 1 |
| 2 | Glycosphingolipid Metabolism | 10 | 0.026 | 1.4 | 4 | 2.9 | 7.44 | 8% | 2 | 2 |
| 3 | Purine Metabolism | 24 | 0.063 | 3.3 | 4 | 1.2 | 6.48 | 7% | 4 | 0 |
| 4 | SAM, SAH, Methionine, Cysteine, Glutathione | 13 | 0.034 | 1.8 | 3 | 1.7 | 6.01 | 6% | 3 | 0 |
| 5 | Sphingomyelin Metabolism | 36 | 0.094 | 4.9 | 3 | 0.6 | 5.78 | 6% | 3 | 0 |
| 6 | GABA, Glutamate, Arginine, Ornithine, Proline | 5 | 0.013 | 0.7 | 3 | 4.4 | 5.07 | 5% | 3 | 0 |
| 7 | Tryptophan, Kynurenine, Serotonin, Melatonin | 5 | 0.013 | 0.7 | 2 | 2.9 | 4.50 | 5% | 2 | 0 |
| 8 | Krebs Cycle | 13 | 0.034 | 1.8 | 2 | 1.1 | 4.05 | 4% | 2 | 0 |
| 9 | Histidine, Histamine, Carnosine Metabolism | 4 | 0.010 | 0.5 | 2 | 3.7 | 3.56 | 4% | 2 | 0 |
| 10 | Lysine Metabolism | 3 | 0.008 | 0.4 | 2 | 4.9 | 3.48 | 4% | 2 | 0 |
| 11 | Nitric Oxide, Superoxide, Peroxide Metabolism | 2 | 0.005 | 0.3 | 2 | 7.4 | 3.29 | 3% | 1 | 1 |
| 12 | 1-Carbon, Folate Metabolism | 6 | 0.016 | 0.8 | 1 | 1.2 | 2.59 | 3% | 1 | 0 |
| 13 | Amino-Sugar, Galactose, &Non-Glucose | 6 | 0.016 | 0.8 | 1 | 1.2 | 2.25 | 2% | 1 | 0 |
| 14 | Plasmalogen Metabolism | 7 | 0.018 | 1.0 | 1 | 1.1 | 1.83 | 2% | 0 | 1 |
| 15 | Pyrimidine Metabolism | 14 | 0.037 | 1.9 | 1 | 0.5 | 1.81 | 2% | 1 | 0 |
| 16 | Vitamin B1 (Thiamine) Metabolism | 2 | 0.005 | 0.3 | 1 | 3.7 | 1.70 | 2% | 1 | 0 |
| 17 | Cardiolipin Metabolism | 8 | 0.021 | 1.1 | 1 | 0.9 | 1.67 | 2% | 1 | 0 |
| 18 | Vitamin C (Ascorbate) Metabolism | 2 | 0.005 | 0.3 | 1 | 3.7 | 1.65 | 2% | 1 | 0 |
| 19 | Fatty Acid Oxidation and Synthesis | 39 | 0.102 | 5.3 | 1 | 0.2 | 1.64 | 2% | 0 | 1 |
| 20 | Bioamines and Neurotransmitter Metabolism | 7 | 0.018 | 1.0 | 1 | 1.1 | 1.62 | 2% | 1 | 0 |
| 21 | Glycolysis and Gluconeogenesis Metabolism | 11 | 0.029 | 1.5 | 1 | 0.7 | 1.61 | 2% | 1 | 0 |
| 22 | Microbiome Metabolism | 12 | 0.031 | 1.6 | 1 | 0.6 | 1.60 | 2% | 1 | 0 |
| 23 | Urea Cycle | 2 | 0.005 | 0.3 | 1 | 3.7 | 1.54 | 2% | 1 | 0 |
| Subtotal | 46 | 6 | ||||||||
| Total | 52 |
Fig. 5Metabolic features of skeletal muscle samples of Dutch shepherds with the p.L349P AGC1 mutation. A. Metabolic discrimination of cases and controls by multivariate analysis. B. Rank order of metabolite differences. C. Bubble plot of significance and fraction impact of specific metabolic pathways. D. Receiver operator characteristic (ROC) curve analysis of the accuracy of 3 metabolites as a diagnostic classifier to distinguish cases and controls. 3- metabolites (increased kynurenine, increased sphingomyelin SM(d18:1/26:2), and decreased dihexosylceramide DHC(d18:1/24:1) showed over 90% accuracy in this sample (N = 5 cases and 16 controls). Repeated double cross validation (rdCV) with bootstrapping 100 times showed an accuracy of 0.95 (p < 0.002).
Fig. 6Metabolic effects on glutamate, redox, and inflammation pathways. P values were calculated by univariate, non-parametric Mann-Whitney U test.
Fig. 7Metabolic effects on phospholipid. sphingolipid, and purine pathways. P values were calculated by univariate, non-parametric Mann-Whitney U test.