Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis.

BACKGROUND: Multiple sclerosis (MS) is a major health problem, leading to a significant disability and patient suffering. Although chronic activation of the immune system is a hallmark of the disease, its pathogenesis is poorly understood, while current treatments only ameliorate the disease and may produce severe side effects. METHODS: Here, we applied a network-based modeling approach based on phosphoproteomic data to uncover the differential activation in signaling wiring between healthy donors, untreated patients, and those under different treatments. Based in the patient-specific networks, we aimed to create a new approach to identify drug combinations that revert signaling to a healthy-like state. We performed ex vivo multiplexed phosphoproteomic assays upon perturbations with multiple drugs and ligands in primary immune cells from 169 subjects (MS patients, n=129 and matched healthy controls, n=40). Patients were either untreated or treated with fingolimod, natalizumab, interferon-ß, glatiramer acetate, or the experimental therapy epigallocatechin gallate (EGCG). We generated for each donor a dynamic logic model by fitting a bespoke literature-derived network of MS-related pathways to the perturbation data. Last, we developed an approach based on network topology to identify deregulated interactions whose activity could be reverted to a "healthy-like" status by combination therapy. The experimental autoimmune encephalomyelitis (EAE) mouse model of MS was used to validate the prediction of combination therapies. RESULTS: Analysis of the models uncovered features of healthy-, disease-, and drug-specific signaling networks. We predicted several combinations with approved MS drugs that could revert signaling to a healthy-like state. Specifically, TGF-ß activated kinase 1 (TAK1) kinase, involved in Transforming growth factor ß-1 proprotein (TGF-ß), Toll-like receptor, B cell receptor, and response to inflammation pathways, was found to be highly deregulated and co-druggable with all MS drugs studied. One of these predicted combinations, fingolimod with a TAK1 inhibitor, was validated in an animal model of MS. CONCLUSIONS: Our approach based on donor-specific signaling networks enables prediction of targets for combination therapy for MS and other complex diseases.

Peak Inspiratory Flow Measured at Different Inhaler Resistances in Patients with Asthma.

BACKGROUND: Patients' peak inspiratory flow rate (PIFR) may help clinicians select an inhaler device. OBJECTIVE: To determine the proportion of patients with asthma who could generate correct PIFRs at different inhaler resistance settings. METHODS: During a UK asthma review service, patients' PIFR was checked at resistance settings matching their current preventer inhaler device, at R5 (high-resistance dry powder inhaler [DPI]) and at R0 (low resistance, pressurized metered dose inhaler [pMDI]). Correct PIFR ("pass") was defined for R5 as 30 to 90 L/min and for R0 as 20 to 60 L/min. A logistic regression model examined the independent predictors of incorrect PIFR ("fail") at R5 and R0. Asthma severity was assessed retrospectively from treatment level. RESULTS: A total of 994 adults (females 64.3%) were included, of whom 90.4% currently used a preventer inhaler (71.5% pMDI). PIFR pass rates were 93.7% at R5 compared with 70.5% at R0 (P < .0001). All patients failing the R0 PIFR breathed in too fast (>60 L/min), and 20% of patients currently using pMDI failed for this reason. Independent risk factors for failing R5 were female sex, older age group, and current preventer pMDI and for failing R0 included male sex, younger age group, current preventer DPI, and mild versus severe asthma. CONCLUSIONS: This study demonstrates that most patients with asthma can achieve adequate inspiratory flow to activate high-resistance DPIs, whereas approximately a third of patients breathe in too fast to achieve recommended inspiratory flows for correct pMDI use, including one-fifth of patients who currently use a pMDI preventer.

MAPK pathway and B cells overactivation in multiple sclerosis revealed by phosphoproteomics and genomic analysis.

Dysregulation of signaling pathways in multiple sclerosis (MS) can be analyzed by phosphoproteomics in peripheral blood mononuclear cells (PBMCs). We performed in vitro kinetic assays on PBMCs in 195 MS patients and 60 matched controls and quantified the phosphorylation of 17 kinases using xMAP assays. Phosphoprotein levels were tested for association with genetic susceptibility by typing 112 single-nucleotide polymorphisms (SNPs) associated with MS susceptibility. We found increased phosphorylation of MP2K1 in MS patients relative to the controls. Moreover, we identified one SNP located in the PHDGH gene and another on IRF8 gene that were associated with MP2K1 phosphorylation levels, providing a first clue on how this MS risk gene may act. The analyses in patients treated with disease-modifying drugs identified the phosphorylation of each receptor's downstream kinases. Finally, using flow cytometry, we detected in MS patients increased STAT1, STAT3, TF65, and HSPB1 phosphorylation in CD19+ cells. These findings indicate the activation of cell survival and proliferation (MAPK), and proinflammatory (STAT) pathways in the immune cells of MS patients, primarily in B cells. The changes in the activation of these kinases suggest that these pathways may represent therapeutic targets for modulation by kinase inhibitors.

Axonal and Myelin Neuroprotection by the Peptoid BN201 in Brain Inflammation.

The development of neuroprotective therapies is a sought-after goal. By screening combinatorial chemical libraries using in vitro assays, we identified the small molecule BN201 that promotes the survival of cultured neural cells when subjected to oxidative stress or when deprived of trophic factors. Moreover, BN201 promotes neuronal differentiation, the differentiation of precursor cells to mature oligodendrocytes in vitro, and the myelination of new axons. BN201 modulates several kinases participating in the insulin growth factor 1 pathway including serum-glucocorticoid kinase and midkine, inducing the phosphorylation of NDRG1 and the translocation of the transcription factor Foxo3 to the cytoplasm. In vivo, BN201 prevents axonal and neuronal loss, and it promotes remyelination in models of multiple sclerosis, chemically induced demyelination, and glaucoma. In summary, we provide a new promising strategy to promote neuroaxonal survival and remyelination, potentially preventing disability in brain diseases.

A review of asthma care in 50 general practices in Bedfordshire, United Kingdom.

The United Kingdom (UK) National Review of Asthma Deaths (NRAD) (2011-2014) identified a number of contributory risk factors which had not previously been recognized by those caring for people with asthma. Only one of the 19 NRAD recommendations has so far been implemented nationally, and that only partially, and as yet systems are not in place to identify patients at risk of attacks and dying from asthma. In 2015/2016 Bedfordshire Clinical Commissioning Group (CCG) in England, UK, initiated a quality asthma audit of people with asthma to identify some of the risk factors identified in the NRAD report with the aim of optimizing patient care. Fifty (89%) of the General Practices caring for 415,152 patients (27,587 diagnosed with asthma (prevalence 7%; range 4-12%)), participated and the results identified a wide variation in process of care and presence of risk factors including: excess short acting reliever and insufficient preventer prescriptions, failure to issue personal asthma action plans, and to perform annual reviews or check inhaler technique. Identification of these patients involved high-intensity input by trained asthma nurses using sophisticated data extraction software. GP computer systems used in primary care currently do not have the functionally, without the need for manual audit, to implement the NRAD recommendations, starting with the identification of patients at risk. Modifications to existing systems within both primary and secondary care are required in order to prevent unnecessary deaths related to asthma. There is a pressing need to move towards a more pro-active model of care.

Dynamics and heterogeneity of brain damage in multiple sclerosis.

Multiple Sclerosis (MS) is an autoimmune disease driving inflammatory and degenerative processes that damage the central nervous system (CNS). However, it is not well understood how these events interact and evolve to evoke such a highly dynamic and heterogeneous disease. We established a hypothesis whereby the variability in the course of MS is driven by the very same pathogenic mechanisms responsible for the disease, the autoimmune attack on the CNS that leads to chronic inflammation, neuroaxonal degeneration and remyelination. We propose that each of these processes acts more or less severely and at different times in each of the clinical subgroups. To test this hypothesis, we developed a mathematical model that was constrained by experimental data (the expanded disability status scale [EDSS] time series) obtained from a retrospective longitudinal cohort of 66 MS patients with a long-term follow-up (up to 20 years). Moreover, we validated this model in a second prospective cohort of 120 MS patients with a three-year follow-up, for which EDSS data and brain volume time series were available. The clinical heterogeneity in the datasets was reduced by grouping the EDSS time series using an unsupervised clustering analysis. We found that by adjusting certain parameters, albeit within their biological range, the mathematical model reproduced the different disease courses, supporting the dynamic CNS damage hypothesis to explain MS heterogeneity. Our analysis suggests that the irreversible axon degeneration produced in the early stages of progressive MS is mainly due to the higher rate of myelinated axon degeneration, coupled to the lower capacity for remyelination. However, and in agreement with recent pathological studies, degeneration of chronically demyelinated axons is not a key feature that distinguishes this phenotype. Moreover, the model reveals that lower rates of axon degeneration and more rapid remyelination make relapsing MS more resilient than the progressive subtype. Therefore, our results support the hypothesis of a common pathogenesis for the different MS subtypes, even in the presence of genetic and environmental heterogeneity. Hence, MS can be considered as a single disease in which specific dynamics can provoke a variety of clinical outcomes in different patient groups. These results have important implications for the design of therapeutic interventions for MS at different stages of the disease.

Transient oscillatory dynamics of interferon beta signaling in macrophages.

BACKGROUND: Interferon-beta (IFN-beta) activates the immune response through the type I IFN signaling pathway. IFN-beta is important in the response to pathogen infections and is used as a therapy for Multiple Sclerosis. The mechanisms of self-regulation and control of this pathway allow precise and environment-dependent response of the cells in different conditions. Here we analyzed type I IFN signaling in response to IFN-beta in the macrophage cell line RAW 264.7 by RT-PCR, ELISA and xMAP assays. The experimental results were interpreted by means of a theoretical model of the pathway. RESULTS: Phosphorylation of the STAT1 protein (pSTAT1) and mRNA levels of the pSTAT1 inhibitor SOCS1 displayed an attenuated oscillatory behavior after IFN-beta activation. In turn, mRNA levels of the interferon regulatory factor IRF1 grew rapidly in the first 50-90 minutes after stimulation until a maximum value, and started to decrease slowly around 200-250 min. The analysis of our kinetic model identified a significant role of the negative feedback from SOCS1 in driving the observed damped oscillatory dynamics, and of the positive feedback from IRF1 in increasing STAT1 basal levels. Our study shows that the system works as a biological damped relaxation oscillator based on a phosphorylation-dephosphorylation network centered on STAT1. Moreover, a bifurcation analysis identified translocation of pSTAT1 dimers to the nucleus as a critical step for regulating the dynamics of type I IFN pathway in the first steps, which may be important in defining the response to IFN-beta therapy. CONCLUSIONS: The immunomodulatory effect of IFN-beta signaling in macrophages takes the form of transient oscillatory dynamics of the JAK-STAT pathway, whose specific relaxation properties determine the lifetime of the cellular response to the cytokine.