Progression Of Duchenne Muscular Dystrophy Research Articles

Robust and Explainable Stage Prediction in Duchenne Muscular Dystrophy

Duchenne muscular dystrophy (DMD) is one of the life-threatening rare genetic disease affecting millions of male minors across the globe. Given its progressive nature, we can demarcate the various stages of DMD through the loss of muscular movements, ambulation, respiratory difficulties, and cardiac dysfunction. In this work, we employ machine learning models for understanding the progression of DMD through the prediction of its stages. Our attempts to predict the stages of DMD on the data collected by Molecular Diagnostics, Counseling, Care and Research Center (MDCRC) from 223 visits of 90 subjects demonstrate more than 80% accuracy with the state-of-the-art methods. We further study the biological/physiological importance of features in characterizing the stages of DMD.

Uncovering the Embryonic Origins of Duchenne Muscular Dystrophy.

Duchenne muscular dystrophy (DMD) is a severe degenerative muscle disease caused by mutations in the DMD gene, which encodes dystrophin. Despite its initial description in the late 19th century by French neurologist Guillaume Duchenne de Boulogne, and identification of causal DMD genetic mutations in the 1980s, therapeutics remain challenging. The current standard of care is corticosteroid treatment, which delays the progression of muscle dysfunction but is associated with significant adverse effects. Emerging therapeutic approaches, including AAV-mediated gene transfer, CRISPR gene editing, and small molecule interventions, are under development but face considerable obstacles. Although DMD is viewed as a progressive muscle disease, muscle damage and abnormal molecular signatures are already evident during fetal myogenesis. This early onset of pathology suggests that the limited success of current therapies may partly be due to their administration after aberrant embryonic myogenesis has occurred in the absence of dystrophin. Consequently, identifying optimal therapeutic strategies and intervention windows for DMD may depend on a better understanding of the earliest DMD disease mechanisms. As newer techniques are applied, the field is gaining increasingly detailed insights into the early muscle developmental abnormalities in DMD. A comprehensive understanding of the initial events in DMD pathogenesis and progression will facilitate the generation and testing of effective therapeutic interventions.

Identification and analysis of differentially expressed lncRNAs and their ceRNA networks in DMD/mdx primary myoblasts

This study explored the significance of long non-coding RNAs (lncRNAs), particularly their role in maintaining dystrophin protein stability and regulating myocyte proliferation and differentiation. The investigation focused on DMD/mdx mouse skeletal muscle primary myoblasts, aiming to identify lncRNAs potential as biomarkers and therapeutic targets for Duchenne muscular dystrophy (DMD). Utilizing CLC Genomics Workbench software, 554 differentially expressed lncRNAs were identified in DMD/mdx mice compared to wild-type (WT) control. Among them, 373 were upregulated, and 181 were downregulated. The study highlighted specific lncRNAs (e.g., 5930430L01Rik, Gm10143, LncRNA1490, LncRNA580) and their potential regulatory roles in DMD key genes like IGF1, FN1, TNNI1, and MYOD1. By predicting miRNA and their connections with lncRNA and mRNA (ceRNA network) using tools such as miRNet, miRSYSTEM and miRCARTA, the study revealed potential indirect regulation of Dystrophin, IGF1R and UTRN genes by identified lncRNAs (e.g. 2310001H17Rik-203, C130073E24Rik-202, LncRNA2767, 5930430L01Rik and LncRNA580). These findings suggest that the identified lncRNAs may play crucial roles in the development and progression of DMD through their regulatory influence on key gene expression, providing valuable insights for potential therapeutic interventions.

A model-informed clinical trial simulation tool with a graphical user interface for Duchenne muscular dystrophy.

Quantitative model-based clinical trial simulation tools play a critical role in informing study designs through simulation before actual execution. These tools help drug developers explore various trial scenarios in silico to select a clinical trial design to detect therapeutic effects more efficiently, therefore reducing time, expense, and participants' burden. To increase the usability of the tools, user-friendly and interactive platforms should be developed to navigate various simulation scenarios. However, developing such tools challenges researchers, requiring expertise in modeling and interface development. This tutorial aims to address this gap by guiding developers in creating tailored R Shiny apps, using an example of a model-based clinical trial simulation tool that we developed for Duchenne muscular dystrophy (DMD). In this tutorial, the structural framework, essential controllers, and visualization techniques for analysis are described, along with key code examples such as criteria selection and power calculation. A virtual population was created using a machine learning algorithm to enlarge the available sample size to simulate clinical trial scenarios in the presented tool. In addition, external validation of the simulated outputs was conducted using a placebo arm of a recently published DMD trial. This tutorial will be particularly useful for developing clinical trial simulation tools based on DMD progression models for other end points and biomarkers. The presented strategies can also be applied to other diseases.

Macrophages in the Context of Muscle Regeneration and Duchenne Muscular Dystrophy.

Macrophages are essential to muscle regeneration, as they regulate inflammation, carry out phagocytosis, and facilitate tissue repair. These cells exhibit phenotypic switching from pro-inflammatory (M1) to anti-inflammatory (M2) states during muscle repair, influencing myoblast proliferation, differentiation, and myofiber formation. In Duchenne Muscular Dystrophy (DMD), asynchronous muscle injuries disrupt the normal temporal stages of regeneration, leading to fibrosis and failed regeneration. Altered macrophage activity is associated with DMD progression and physiopathology. Gaining insight into the intricate relationship between macrophages and muscle cells is crucial for creating effective therapies aimed at treating this muscle disorder. This review explores the dynamic functions of macrophages in muscle regeneration and their implications in DMD.

Epidemiology and healthcare resource utilisation associated with Duchenne muscular dystrophy

BackgroundThis study aimed to describe the prevalence of Duchenne muscular dystrophy (DMD) and associated healthcare resource utilisation and costs from an England perspective.MethodsPatients with DMD were selected by recorded diagnoses from the Clinical Practice Research Datalink Aurum database and matched to non-DMD controls. The point prevalence of DMD (2020) was estimated. Primary care, inpatient, outpatient, and A&E department contacts and prescription items emanating from primary care were aggregated and their costs were compared between cases and controls. People with DMD were further classified by ambulatory phase and ventilation status and respective costs presented.ResultsThe point prevalence of DMD in 2020 was 3.23 per 100,0000 (95% confidence interval [CI] 2.82–3.63). There was a significant increase in contacts in all healthcare sectors compared to controls: primary care (incidence rate ratios (IRR) = 3.19 (95% CI 3.11–3.28)), inpatient admissions (IRR = 9.24 (95% CI 8.19–10.46)), outpatient appointments (IRR = 11.44 (95% CI 10.95–11.96)) and accident and emergency (IRR = 1.65 (1.52–1.81)). Overall, healthcare costs were almost ten-fold higher (adjusted cost ratio (ACR = 9.33 (95% CI 6.75–12.91)). Healthcare costs increased with the progression of DMD: £2816, on average, in the ambulatory phase; £5700 in the non-ambulatory without-ventilation, and £7634 in the non-ambulatory with ventilation phase.ConclusionDMD was associated with almost a ten-fold increase in healthcare costs. Worsening DMD status, as characterized by non-ambulation and requirement for ventilation, was associated with increased costs. However, the use of standard tariffs may underestimate the true financial burden of the condition. This assessment excluded social care and carer costs some of which will encompass medical needs and may contribute significantly to the cost burden of DMD.

Current Challenges of Using Patient-Level Claims and Electronic Health Record Data for the Longitudinal Evaluation of Duchenne Muscular Dystrophy Outcomes.

Insurance claims data and electronic health records (EHRs) have been used to characterize Duchenne muscular dystrophy (DMD) in real-world populations. The ability to assess patient-level DMD disease progression within insurance claims or EHR data infrastructures is unknown. Insurance claims and EHR data were comprehensively examined for availability and reliability of DMD outcomes that describe functional status and disease progression at the individual patient level over time. MarketScan Commercial and Medicaid claims, and EHR-linked Clarivate open claims datasets were examined for data measuring 54 previously identified DMD-relevant outcomes in patients with DMD. Each outcome was assigned to one of five categories: functional and clinical events, clinical measures, biomarkers, functional measures, or patient-reported outcomes (PROs). Patients were identified using published coding algorithms. Annual 5-year attrition and data availability for each outcome was determined. The ability to distinguish disease severity and identify test results was also considered where applicable. A total of 1964 (MarketScan Commercial), 2007 (MarketScan Medicaid), and 10,639 (Clarivate) patients were identified. At 5years, 31.7%, 35.1%, and 59.1% of patients remained in MarketScan Commercial, MarketScan Medicaid, and Clarivate, respectively. Claims were available for five of six functional and clinical events, with 45.5% (MarketScan Commercial), 48.0% (Clarivate), and 48.5% (MarketScan Medicaid) of patients with ≥ 1 claim for the most frequently identified clinical event (cardiomyopathy diagnosis). No data were available to describe frequency of wheelchair use or loss of ambulation. Very limited EHR data (≤ 2% of patients) were available to indicate tests were ordered for clinical measures, biomarkers, or functional assessments. No PRO notes or scores were observed. Data existed for inferring disease severity (e.g., hospitalization for cardiomyopathy); however, it was not apparent whether these events were incident. Insurance claims and EHR-linked open claims data are of limited utility for holistically evaluating the progression and burden of DMD in individual patients.

Nutritional Issues among Children with Duchenne Muscular Dystrophy-Incidence of Deficiency and Excess Body Mass.

The progression of Duchenne muscular dystrophy (DMD)requires the assessment of nutritional disturbances at each stage of the disease. The purpose of this study was to assess the nutritional status in various ages of boys with DMD using screening and in-depth evaluation methods. Body composition by Dual X-ray Absorptiometry (DXA), basal metabolic rate (BMR) by indirect calorimetry, a questionnaire of nutritional status-Pediatric Nutrition Screening Tool (PNST)-and laboratory parameters were performed. In the cohort of 93 boys aged 8.54 (5.9-12.6 years), inappropriate nutritional status occurred in 41.8% of boys (underweight 11.8%, overweight 16.0%, and obesity 14.0%). In the 10-13 age group, the occurrence of overweight and underweight was the highest. Based on PNST, 15.1% of patients were at nutritional risk (≥2 points)-the most in the 14-17 age group (29%). A negative correlation was identified between PNST and z-scores of body weight, BMI, and FFMI (r Spearman = -0.49, -0.46, and -0.48, respectively; p < 0.05). There were no differences between BMR results from indirect calorimetry and calculations from the Schofield formula for any age group. In obese boys, the caloric requirement in indirect calorimetry was significantly lower than that indicated by the calculations according to the Schofield formula (p < 0.028). Inappropriate nutritional status occurred in almost half of the children with DMD. The age group in which nutritional disorders were most frequently identified was 10-13 years old. PNST could be considered a tool for screening malnutrition after testing a larger group of DMD patients.

Definition of diaphragmatic sleep disordered breathing and clinical meaning in Duchenne muscular dystrophy

BackgroundDiaphragmatic sleep disordered breathing (dSDB) has been recently identified as sleep dysfunction secondary to diaphragmatic weakness in Duchenne muscular dystrophy (DMD). However, scoring criteria for the identification of dSDB are...

Identifying hub genes and dysregulated pathways in Duchenne muscular dystrophy

Purpose The aim of this study was to identify the hub genes and dysregulated pathways in the progression of duchenne muscular dystrophy (DMD) and to unveil detailedly the cellular and molecular mechanisms associated with DMD for developing efficacious treatments in the future. Material and methods Three mRNA microarray datasets (GSE13608, GSE38417 and GSE109178) were downloaded from Gene Expression Omnibus (GEO). The differentially expressed genes (DEGs) between DMD and normal tissues were obtained via R package. Function enrichment analyses were implemented respectively using DAVID online database. The network analysis of protein-protein interaction network (PPI) was conducted using String. Cytoscape and String were used to analyse modules and screen hub genes. The expression of the identified hub genes was confirmed in mdx mice through using qRT-PCR. Results In total, 519 DEGs were identified, consisting of 393 upregulated genes and 126 downregulated genes. The enriched functions and pathways of the DEGs mainly involve extracellular matrix organization, collagen fibril organization, interferon-gamma-mediated signaling pathway, muscle contraction, endoplasmic reticulum lumen, MHC class II receptor activity, phagosome, graft-versus-host disease, cardiomyocytes, calcium signaling pathway. Twelve hub genes were discovered and biological process analysis proved that these genes were mainly enriched cell cycle, cell division. The result of qRT-PCR suggested that increase in expression of CD44, ECT2, TYMS, MAGEL2, HLA-DMA, SERPINH1, TNNT2 was confirmed in mdx mice and the downregulation of ASB2 and LEPREL1 was also observed. Conclusion In conclusion, DEGs and hub genes identified in the current research help us probe the molecular mechanisms underlying the pathogenesis and progression of DMD, and provide candidate targets for diagnosis and treatment of DMD.

Estimating health state utilities in Duchenne muscular dystrophy using the health utilities index and EQ-5D-5L

BackgroundThe progression of Duchenne muscular dystrophy (DMD) is characterized by loss of ambulation, respiratory insufficiency, cardiomyopathy, and early mortality. DMD profoundly impacts health-related quality-of-life (HRQoL). However, few health state utility data exist; published utilities tend to be derived from small samples for a limited number of health states and are often based on caregiver-reported patient health status. This study estimated utility values for varied clinical and functional health states in DMD, based on patient-reported health status.MethodsIndividuals with DMD in the US aged 12–40 years completed the EQ-5D (5-level) and Health Utilities Index (HUI) preference-based instruments. Based on responses to a clinical questionnaire, participants self-classified into functional health states according to level of lower and upper limb function, use of respiratory support, and presence of cardiomyopathy. Mean [standard deviation (SD)] utility and EQ-5D visual analogue scale (VAS) scores were estimated according to health state; and median (interquartile range) attribute levels calculated to understand which domains of health are most severely affected in DMD.ResultsOf 63 males with DMD, mean (SD) age was 19.8 (6.1) years and 11 (17.5%) were ambulatory. Mean (SD) utility values were 0.92 (0.08; HUI2), 0.84 (0.20; HUI3), and 0.84 (0.13; EQ-5D) for ambulatory patients without cardiomyopathy (n = 10). For non-ambulatory patients with moderately impaired upper limb function, night and daytime ventilation without cardiomyopathy, mean (SD) utilities were 0.49 (0.07) for the HUI2, 0.16 (0.15) for the HUI3 and 025 (0.14) for the EQ-5D. Mean (SD) VAS scores for the same health states were 91 (9) and 83 (21), respectively. In addition to impairments in mobility/ambulation, and self-care, attributes like usual activities and pain also showed notable effects of DMD.ConclusionsIn DMD, although a relationship between disease progression and HRQoL is observed, there is large variability in utility within functional health states, and across instruments. Utility values for less severe non-ambulatory health states described by level of upper limb function are novel. These utility values, derived based on direct patient feedback rather than from caregiver report, are relevant to individuals of varying functional statuses and augment scarce DMD-specific utility data.

Proteome Profiling of the Dystrophic mdx Mice Diaphragm.

Mdx mice with a spontaneous mutation in exon 23 of the Dmd gene represent the most common model to investigate the pathophysiology of Duchenne muscular dystrophy (DMD). The disease, caused by the lack of functional dystrophin, is characterized by irreversible impairment of muscle functions, with the diaphragm affected earlier and more severely than other skeletal muscles. We applied a label-free (LF) method and the more thorough tandem mass tag (TMT)-based method to analyze differentially expressed proteins in the diaphragm of 6-week-old mdx mice. The comparison of both methods revealed 88 commonly changed proteins. A more in-depth analysis of the TMT-based method showed 953 significantly changed proteins, with 867 increased and 86 decreased in dystrophic animals (q-value < 0.05, fold-change threshold: 1.5). Consequently, several dysregulated processes were demonstrated, including the immune response, fibrosis, translation, and programmed cell death. Interestingly, in the dystrophic diaphragm, we found a significant decrease in the expression of enzymes generating hydrogen sulfide (H2S), suggesting that alterations in the metabolism of this gaseous mediator could modulate DMD progression, which could be a potential target for pharmacological intervention.

Early Cost-Utility Analysis of Ataluren and Eteplirsen in the Treatment of Duchenne Muscular Dystrophy in Egypt

ObjectivesAtaluren and eteplirsen are orphan drugs that delay progression of Duchenne muscular dystrophy in mutation-specific subgroups. They have yet to be approved in Egypt but are expected to reach the market soon. This study describes 2 cost-utility models comparing the drugs with the standard of care. MethodsWe used a partition-survival model with 5 states based on the ambulatory status to model a cohort of ambulatory patients at the age of 5 years. Baseline curves were obtained from a published model; then the ambulation loss curve was updated using the Kaplan-Meier curve of the standard of care from a study by McDonald et al. Other curves were updated by calibration to this curve. Costs and utilities were from a local study. Deterministic and probabilistic sensitivity analyses were conducted. Prices were estimated based on other orphan drugs’ prices. ResultsIn the base case, ataluren 1000 mg and eteplirsen 50 mg/mL resulted in an incremental cost-effectiveness ratio of EGP 51 745 605 and EGP 69 652 533/quality-adjusted life-year, respectively, at their hypothetical prices of EGP 308 600 for ataluren 30-sachet pack and EGP 62 800 for eteplirsen 10 mL vial. The incremental cost-effectiveness ratio was sensitive to health state utilities but not to state costs. At EGP 911 719/quality-adjusted life-year threshold, the value-based prices were EGP 4680 for ataluren 1000 mg and EGP 733 for eteplirsen 10 mL vial. ConclusionsBased on these models, there is a huge gap between the prices of orphan drugs and their value-based prices, which highlights the need for major policy reforms in the assessment and pricing of orphan drugs.

Cardiac and Muscular Pathology on Autopsy in a Man with Duchenne Muscular Dystrophy

Duchenne muscular dystrophy (DMD) is a degenerative muscle disease characterized by a progressive decline in muscular function, with cardiomyopathy in the later stages. We report the autopsy findings of a 29-year-old man with DMD. He had been stable with the assistance of mechanical ventilation until he was found unconscious, without known cause. External examination confirmed generalized muscular atrophy and contracture consistent with his clinical history. Histopathology revealed varying degrees of fibrofatty changes in the muscles, with the calf muscles being the most extensively affected, followed by the diaphragm and heart. The cardiac muscle showed the least involvement and the pathology was confined to the left ventricular wall and the interventricular septum, exhibiting a unique morphology of fibrosis resembling stretched springs. The cause of death was attributed to cardiac failure due to DMD progression. This case highlights the clinical course of DMD, emphasizing the need for thorough examination of both skeletal and non-skeletal muscles, including the cardiac muscles, to obtain a better understanding of the disease.

Amniotic Membrane-Derived Stromal Cells Release Extracellular Vesicles That Favor Regeneration of Dystrophic Skeletal Muscles.

Duchenne muscular dystrophy (DMD) is a muscle disease caused by mutations in the dystrophin gene characterized by myofiber fragility and progressive muscle degeneration. The genetic defect results in a reduced number of self-renewing muscle stem cells (MuSCs) and an impairment of their activation and differentiation, which lead to the exhaustion of skeletal muscle regeneration potential and muscle replacement by fibrotic and fatty tissue. In this study, we focused on an unexplored strategy to improve MuSC function and to preserve their niche based on the regenerative properties of mesenchymal stromal cells from the amniotic membrane (hAMSCs), that are multipotent cells recognized to have a role in tissue repair in different disease models. We demonstrate that the hAMSC secretome (CM hAMSC) and extracellular vesicles (EVs) isolated thereof directly stimulate the in vitro proliferation and differentiation of human myoblasts and mouse MuSC from dystrophic muscles. Furthermore, we demonstrate that hAMSC secreted factors modulate the muscle stem cell niche in dystrophic-mdx-mice. Interestingly, local injection of EV hAMSC in mdx muscles correlated with an increase in the number of activated Pax7+/Ki67+ MuSCs and in new fiber formation. EV hAMSCs also significantly reduced muscle collagen deposition, thus counteracting fibrosis and MuSCs exhaustion, two hallmarks of DMD. Herein for the first time we demonstrate that CM hAMSC and EVs derived thereof promote muscle regeneration by supporting proliferation and differentiation of resident muscle stem cells. These results pave the way for the development of a novel treatment to counteract DMD progression by reducing fibrosis and enhancing myogenesis in dystrophic muscles.

EE401 Characterizing the Impact on Work Productivity in Patients with Duchenne Muscular Dystrophy and Caregivers: An Economic Analysis

Duchenne muscular dystrophy (DMD) is a rare degenerative neuromuscular disease resulting in progressive muscle weakness, loss of functional ability, and premature death. Disease progression, especially loss of ambulation, impacts work productivity for patients with DMD and caregivers, particularly in relation to loss of income and work years. The objective of this study was to quantify the lifetime loss of income and work years for patients with DMD and their caregivers based on the natural history progression of DMD.

Preliminary Results of a Genetic Study of Children with Duchenne Myodystrophy in Aktobe, Kazakhstan.

Duchenne muscular dystrophy (DMD) is an X-linked recessive neuromuscular illness with a progressive course caused by mutations in the gene encoding the protein dystrophin (DMD; locus Xp21. 2). This study aimed to investigate the clinical aspects of DMD progression according to the mutation type. Included in the study were 38 boys aged 3 to 11 years. Laboratory (biochemical evaluation of the level of creatinine phosphokinase, multiplex ligation-dependent probe amplification [MLPA], and next-generation sequencing [NGS] analysis of the DMD gene), genealogical, and clinical approaches were utilized (including adapted Hammersmith Functional Motor Scale, the study of auditory-speech memory by the "Memorizing 10 words" method, and a general neurological assessment). The MLPA revealed deletion in 22 cases (57.8%), duplication in 6 (15.7%), and negative results in 11 (26.5%). To discover point mutations, 11 infants with negative MLPA results were sequenced. According to the results of the NGS, point mutations were identified in six boys (four single-nucleotide deletions and two single-nucleotide duplications), and five boys lacked mutations. Due to the high proportion of neuro-hereditary diseases in the general structure of neurological pathology, the profound disability of patients with progressive mental and physical disadaptation, as well as the generally fatal course of these incurable afflictions, molecular genetics research is of particular importance.

Assessing the value of delandistrogene moxeparvovec (SRP-9001) gene therapy in patients with Duchenne muscular dystrophy in the United States

ABSTRACT Background: Delandistrogene moxeparvovec (SRP-9001) is an investigational gene therapy that may delay progression of Duchenne muscular dystrophy (DMD), a severe, rare neuromuscular disease caused by DMD gene mutations. Early cost-effectiveness analyses are important to help contextualize the value of gene therapies for reimbursement decision making. Objective: To determine the potential value of delandistrogene moxeparvovec using a cost-effectiveness analysis. Study design: A simulation calculated lifetime costs and equal value of life years gained (evLYG). Inputs included extrapolated clinical trial results and published utilities/costs. As a market price for delandistrogene moxeparvovec has not been established, threshold analyses established maximum treatment costs as they align with value, including varying willingness-to-pay up to $500,000, accounting for severity/rarity. Setting: USA, healthcare system perspective Patients: Boys with DMD Intervention: Delandistrogene moxeparvovec plus standard of care (SoC; corticosteroids) versus SoC alone Main outcome measure: Maximum treatment costs at a given willingness-to-pay threshold Results: Delandistrogene moxeparvovec added 10.30 discounted (26.40 undiscounted) evLYs. The maximum treatment cost was approximately $5 M, assuming $500,000/evLYG. Varying the benefit discount rate to account for the single administration increased the estimated value to >$5M, assuming $500,000/evLYG. Conclusion: In this early economic model, delandistrogene moxeparvovec increases evLYs versus SoC and begins to inform its potential value from a healthcare perspective.

Modeling Early Heterogeneous Rates of Progression in Boys with Duchenne Muscular Dystrophy.

Duchenne muscular dystrophy (DMD) exhibits substantial variability in rates of disease progression and response to treatment. This has hindered treatment development and complicated interpretation of drug effects in clinical trials. We hypothesized that a multivariate combination of early-age clinical outcome measurements can explain differential disease progression. Data on boys with DMD (ages 4-<10 years), both treated with steroidal anti-inflammatories and untreated, were obtained from CINRG Duchenne Natural History Study (n = 209) and vamorolone VBP15-002/003/LTE (n = 46) studies. Velocities from three timed function tests (TFTs; stand from supine, run/walk 10 meters, and climb 4 stairs) were simultaneously modeled in a longitudinal latent class analysis. Three classes of differentially progressing early age DMD motor trajectories were identified. Quicker decline/progression was associated with lower baseline TFT velocities, earlier loss of ability to finish a TFT, and lower predicted velocities. Earlier substantial steroid exposure was associated with greater TFT velocities while the moderate progression class was observed to have the largest difference in performance between boys treated early with steroids vs. not. Sample size calculations with the class showing the largest treatment response showed a large reduction in required sample size as compared to using summaries from all participants. Gene mutations were also investigated in post-hoc analyses, with mutations near the beginning of the DMD gene (Dp427 absent and Dp140/Dp71 present) found to be enriched in the slowest progressing class. This study provides insight into the variation in DMD progression through a latent class analysis. Our findings show class-related trajectories of motor outcomes and pharmacological response to corticosteroids, and suggest that enrichment strategies and/or subgroup analyses could be considered further in design of therapeutic interventions in DMD.

Analysis of Long Noncoding RNAs-Related Regulatory Mechanisms in Duchenne Muscular Dystrophy Using a Disease-Related lncRNA-mRNA Pathway Network.

This study aimed to investigate the molecular regulatory mechanisms underpinning Duchenne muscular dystrophy (DMD). Using microarray data, differentially expressed long noncoding RNAs (DELs) and DMD-related differentially expressed mRNAs (DEMs) were screened based on the comparative toxicogenomics database, using a cutoff of |log2 fold change| > 1 and false discovery rate (FDR) < 0.05. Then, protein-protein interaction (PPI), coexpression network of lncRNA-mRNA, and DMD-related lncRNA-mRNA pathway networks were constructed, and functional analyses of the genes in the network were performed. Finally, the proportions of immune cells infiltrating the muscle tissues in DMD were analyzed, and the correlation between the immune cells and expression of the DELs/DEMs was studied. A total of 46 DELs and 313 DMD-related DEMs were identified. The PPI network revealed STAT1, VEGFA, and CCL2 to be the top three hub genes. The DMD-related lncRNA-mRNA pathway network comprising two pathways, nine DELs, and nine DMD-related DEMs showed that PYCARD, RIPK2, and CASP1 were significantly enriched in the NOD-like receptor signaling pathway, whereas MAP2K2, LUM, RPS6, PDCD4, TWIST1, and HIF1A were significantly enriched with proteoglycans in cancers. The nine DELs in this network were DBET, MBNL1-AS1, MIR29B2CHG, CCDC18-AS1, FAM111A-DT, GAS5, LINC01290, ATP2B1-AS1, and PSMB8-AS1. The nine DMD-related DEMs and DELs identified in this study may play important roles in the occurrence and progression of DMD through the two pathways of the NOD-like receptor signaling pathway and proteoglycans in cancers.