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Search Results (3,128)

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16 pages, 1080 KiB  
Review
Hyperhomocysteinemia and Disease—Is 10 μmol/L a Suitable New Threshold Limit?
by Giada Marroncini, Serena Martinelli, Sara Menchetti, Francesco Bombardiere and Francesco Saverio Martelli
Int. J. Mol. Sci. 2024, 25(22), 12295; https://doi.org/10.3390/ijms252212295 (registering DOI) - 15 Nov 2024
Abstract
Hyperhomocysteinemia (HHcy) is a medical condition characterized by an abnormally high level of homocysteine (Hcy) in the blood. Homocysteine is a toxic sulfur-containing amino acid that is produced during the metabolism of methionine. Under normal circumstances, Hcy is recycled back to methionine via [...] Read more.
Hyperhomocysteinemia (HHcy) is a medical condition characterized by an abnormally high level of homocysteine (Hcy) in the blood. Homocysteine is a toxic sulfur-containing amino acid that is produced during the metabolism of methionine. Under normal circumstances, Hcy is recycled back to methionine via the remethylation pathway, through the action of various enzymes and vitamins, particularly folic acid (vitamin B9) and B12 used when intracellular methionine levels are low, thus restoring the necessary levels to correctly maintain active protein synthesis. A second pathway, used in cases of intracellular methionine excess, (the trans-sulfuration pathway) is the one that recycles Hcy into cysteine (a precursor of glutathione), first passing through cystathionine (via the enzyme cystathionine beta-synthase), a reaction that requires vitamin B6 in its active form. HHcy has been identified as a risk factor for a variety of disorders, including cardiovascular diseases, multiple sclerosis, diabetes, Alzheimer’s and Parkinson’s diseases, osteoporosis and cancer. However, it remains unclear whether the slightly elevated concentration of Hcy (Hcy 7–10 μmol/L) is a causative factor or simply a marker of these pathologies. In human plasma, the concentration of Hcy ([Hcy]) is classified as mild (15 to 30 μmol/L), moderate (30 to 100 μmol/L), and severe (greater than 100 μmol/L). Interestingly, many laboratories continue to consider 25 μmol/L as normal. This review seeks to examine the controversial literature regarding the normal range of HHcy and emphasizes that even a [Hcy] level of 10 μmol/L may contribute to the development of several diseases, aiming to discuss whether it would be appropriate to lower the threshold of HHcy normal values. Full article
(This article belongs to the Section Molecular Pharmacology)
24 pages, 1146 KiB  
Article
Walk Longer! Using Wearable Inertial Sensors to Uncover Which Gait Aspects Should Be Treated to Increase Walking Endurance in People with Multiple Sclerosis
by Ilaria Carpinella, Rita Bertoni, Denise Anastasi, Rebecca Cardini, Tiziana Lencioni, Maurizio Ferrarin, Davide Cattaneo and Elisa Gervasoni
Sensors 2024, 24(22), 7284; https://doi.org/10.3390/s24227284 - 14 Nov 2024
Viewed by 169
Abstract
Reduced walking endurance is common in people with multiple sclerosis (PwMS), leading to reduced social participation and increased fall risk. This highlights the importance of identifying which gait aspects should be mostly targeted by rehabilitation to maintain/increase walking endurance in this population. A [...] Read more.
Reduced walking endurance is common in people with multiple sclerosis (PwMS), leading to reduced social participation and increased fall risk. This highlights the importance of identifying which gait aspects should be mostly targeted by rehabilitation to maintain/increase walking endurance in this population. A total of 56 PwMS and 24 healthy subjects (HSs) executed the 6 min walk test (6 MWT), a clinical measure of walking endurance, wearing three inertial sensors (IMUs) on their shanks and lower back. Five IMU-based digital metrics descriptive of different gait domains, i.e., double support duration, trunk sway, gait regularity, symmetry, and local dynamic instability, were computed. All metrics demonstrated moderate–high ability to discriminate between HSs and PwMS (AUC: 0.79–0.91) and were able to detect differences between PwMS at minimal (PwMSmFR) and moderate–high fall risk (PwMSFR). Compared to PwMSmFR, PwMSFR walked with a prolonged double support phase (+100%), larger trunk sway (+23%), lower stride regularity (−32%) and gait symmetry (−18%), and higher local dynamic instability (+24%). Normative cut-off values were provided for all metrics to help clinicians in detecting abnormal scores at an individual level. The five metrics, entered into a multiple linear regression model with 6 MWT distance as the dependent variable, showed that gait regularity and the three metrics most related to dynamic balance (i.e., double support duration, trunk sway, and local dynamic instability) were significant independent contributors to 6 MWT distance, while gait symmetry was not. While double support duration and local dynamic instability were independently associated with walking endurance in both PwMSmFR and PwMSFR, gait regularity and trunk sway significantly contributed to 6 MWT distance only in PwMSmFR and PwMSFR, respectively. Taken together, the present results allowed us to provide hints for tailored rehabilitation exercises aimed at specifically improving walking endurance in PwMS. Full article
(This article belongs to the Collection Sensors for Gait, Human Movement Analysis, and Health Monitoring)
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<p>Pearson’s correlation coefficient <span class="html-italic">r</span> between six-minute walk test distance and IMU-based digital metrics descriptive of the gait domains reported on the left. The metric showing the highest correlation for each domain is reported in dark violet. * <span class="html-italic">p</span> &lt; 0.05. Reg.: regularity; CV: coefficient of variation; iHR: improved Harmonic Ratio; ∆: absolute difference between right and left side; T<sub>step</sub>: step duration; T<sub>stride</sub>: stride duration; T<sub>stance</sub>: stance duration; T<sub>swing</sub>: swing duration; T<sub>dsupp</sub>: double support duration; nRMS: normalized root mean square of trunk acceleration; sLyE<sub>stride/step</sub>: short-term Lyapunov exponent computed over one stride/step; Mod.: trunk acceleration modulus; AP: antero-posterior; ML: medio-lateral; VT: vertical.</p>
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<p>Digital metrics descriptive of gait in healthy subjects (HSs) and people with MS (PwMS). Bold line: median; Box: interquartile range; Whisker: range. *** <span class="html-italic">p</span>&lt; 0.001 (HSs vs. PwMS, Mann–Whitney U Test). iHR: improved Harmonic Ratio; nRMS: normalized root mean square of trunk acceleration; sLyE<sub>step</sub>: short-term Lyapunov exponent computed over one step; Mod.: trunk acceleration modulus; AP: antero-posterior; ML: medio-lateral; AUC: Area Under the Receiver Operating Characteristic (ROC) Curve, mean (95% confidence interval).</p>
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17 pages, 2137 KiB  
Article
Validation of a Set of Clinical Criteria for the Diagnosis of Secondary Progressive Multiple Sclerosis
by Alin Ciubotaru, Daniel Alexa, Cristina Grosu, Lilia Böckels, Ioana Păvăleanu, Alexandra Maștaleru, Maria Magdalena Leon, Roxana Covali, Emanuel Matei Roman, Cătălina Elena Bistriceanu, Cristina Mihaela Ghiciuc, Doina Azoicăi and Emilian Bogdan Ignat
Brain Sci. 2024, 14(11), 1141; https://doi.org/10.3390/brainsci14111141 - 14 Nov 2024
Viewed by 226
Abstract
Background/Objectives: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by progressive impairment of neuronal transmission due to focal demyelination. The most common form is RRMS (relapsing-remitting multiple sclerosis), which, under the influence of certain factors, can [...] Read more.
Background/Objectives: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by progressive impairment of neuronal transmission due to focal demyelination. The most common form is RRMS (relapsing-remitting multiple sclerosis), which, under the influence of certain factors, can progress to SPMS (secondary progressive multiple sclerosis). Our study aimed to validate the criteria proposed by a working group of the Romanian Society of Neurology versus the criteria proposed by a group of experts from Spain, Karolinska, and Croatia concerning the progression from RRMS to SPMS. Methods: This was done by gathering epidemiological data (age, gender) and by applying clinical tests such as the 9HPT (9-hole peg test), 25FWT (25-foot walk test), and EDSS (expanded disability status scale) tests and the SDMT test (symbol digit modalities test). The present research is a cohort study that included a number of 120 patients diagnosed with MS according to the McDonald Diagnostic Criteria 2017. The study was carried out between January 2023 and April 2024, including patients hospitalized in the Neurology Clinic of the Clinical Rehabilitation Hospital from Iasi, Romania. The data were collected at baseline (T0) and at a 12-month interval (T1). Results: The statistical analysis was conducted using Kaiser–Meyer–Olkin analysis, which indicated a value of 0.683, thus validating the clinical tests used. The correlation matrix and the linear regression for all the tests showed highly significant statistical results. Furthermore, the ROC curve analysis of the criteria suggested by the working group of the Romanian Society of Neurology demonstrated that the EDSS, 9HPT, and 25FWT are highly sensitive in diagnosing SPMS, an opinion that is shared with the Spanish experts, but not with the Karolinska expert panel. Using the criteria given by the Croatian expert group in the ROC curve analysis showed that only the EDSS was strongly significant for the progression to the SPMS phase. Conclusions: In conclusion, all clinical methods used demonstrated that they are valid and can contribute to identifying patients with an increased risk of progression. The model proposed by the Romanian Society of Neurology working group is similar to other countries’ expert opinions and can be used to detect the risk of disease progression and establish a more tailored therapeutic management of SPMS. Full article
(This article belongs to the Section Neuropharmacology and Neuropathology)
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<p>Regression line regarding the correlation between the EDSS score at T0 and T1.</p>
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<p>Regression line regarding the correlation at T0 and T1 for 9HPT, 25 FWT, and SDMT.</p>
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<p>Regression line regarding the correlation at T0 and T1 for 9HPT, 25 FWT, and SDMT.</p>
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<p>ROC curve in relation to the types of ”events” that define the form of SPMS according to the criteria of the working group of the Romanian Society of Neurology.</p>
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<p>The ROC curve in relation to the types of “events” that define the type of the SPMS according to the criteria of the Spanish “expert” group.</p>
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<p>The ROC curve in relation to the types of ”event” that define the type of SPMS according to the Karolinka expert group criteria.</p>
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<p>The ROC curve in relation to the types of “events” that define the shape of the SPMS according to the criteria of the Croatian expert group.</p>
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17 pages, 666 KiB  
Review
Propionic Acid Impact on Multiple Sclerosis: Evidence and Challenges
by Lorena Lorefice and Magdalena Zoledziewska
Nutrients 2024, 16(22), 3887; https://doi.org/10.3390/nu16223887 - 14 Nov 2024
Viewed by 323
Abstract
Accumulating evidence suggests that multiple sclerosis (MS) is an environmentally influenced disorder with contributions from life-time exposure to factors including Epstein–Barr virus infection or shifts in microbiome, diet and lifestyle. One suggested factor is a deficiency in propionic acid, a short-chain fatty acid [...] Read more.
Accumulating evidence suggests that multiple sclerosis (MS) is an environmentally influenced disorder with contributions from life-time exposure to factors including Epstein–Barr virus infection or shifts in microbiome, diet and lifestyle. One suggested factor is a deficiency in propionic acid, a short-chain fatty acid produced by gut bacteria that may contribute to the disease pathology both in animal models and in human cases of MS. Propionate appears to exert beneficial effects on the immune, peripheral and central nervous systems of people with MS (pwMS), showing immunoregulatory, neuroprotective and neurogenerative effects. These functions are crucial, given that MS is characterized by immune-mediated damage of myelin in the central nervous system. Accordingly, propionate supplementation or a modulated increase in its levels through the microbiome and diet may help counteract the pro-inflammatory state in MS by directly regulating immune system and/or by decreasing permeability of gut barrier and blood–brain barrier. This could potentially improve outcomes when used with immune-modulating therapy. However, while its broad effects are promising, further large clinical trials are necessary to evaluate its efficacy and safety in pwMS and clarify its role as a complementary therapeutic strategy. This review provides a comprehensive analysis of the evidence, challenges and limitations concerning propionic acid supplementation in MS. Full article
(This article belongs to the Section Nutritional Immunology)
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<p>Schematic representation of propionate’s functions, effects and supplementation in MS.</p>
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10 pages, 4010 KiB  
Opinion
The Conjecture of Poser on the Origins of Multiple Sclerosis: New Theoretical Considerations and Proposal
by Victor M. Rivera
Sclerosis 2024, 2(4), 355-364; https://doi.org/10.3390/sclerosis2040023 - 14 Nov 2024
Viewed by 185
Abstract
The origins of multiple sclerosis (MS) have been a subject intriguing researchers and scholars for generations. The multifactorial etiological nature of the disease continues to be studied as a complex combination of genetic aspects and environmental or external risk elements contributing to the [...] Read more.
The origins of multiple sclerosis (MS) have been a subject intriguing researchers and scholars for generations. The multifactorial etiological nature of the disease continues to be studied as a complex combination of genetic aspects and environmental or external risk elements contributing to the development of the disease. Descriptions of symptoms or clinical disorders suggestive of MS affecting historical figures or prominent individuals (i.e., Lidwina of Schiedam, Heinrich Heine, Augustus d’Este) did not provide clues on the origin of the disease, except for the observation that all these early possible cases were white European individuals. MS was initially framed as a neurological entity and named in the 19th century by the historical participation of the French masters Cruveilhier, Vulpian, and Charcot, among others, but the question of how the disease originated was not addressed until Charles Poser raised his conjecture on the origins of MS in two historical essays (1994 and 1995), raising the question if the Viking voyages and invasions from the 8th to the 11th century carried the Scandinavian MS genetic risk factor to Europe and the rest of the known world at that time. Poser did not have the benefit of access to ancient molecular DNA data and based his theoretical postulation on interesting historical and archeological observations. A series of studies and opinions published in 2024, utilizing sophisticated genetic analyses and genome identification, archeological DNA analysis, and other advanced techniques and biological computation, distinctly demonstrate the installation of HLA-DRB1*15:01 (class II allele) in Europe (with a higher prevalence in Scandinavia) following the massive Yamnaya pastoralists migration from the Pontic Steppe in Eurasia to western Europe (~5000 to 2500 BCE). The data suggest HLA-DRB1*15:01, the strongest genetic association with MS, underwent an evolutive switch (“thrifty drift”) from immune protector against novel zoonotic diseases appearing among the early pastoralists of the Yamnaya civilization to an autoimmune deleterious reactor to molecular mimicry and self-antigens, enabled by lifestyle changes and reduction of pastoralism once communities settled in Europe after the migration from the Pontic Steppe. This writer offers a new perspective on the origins of MS through a phase 1, the ancient east to west migration in the late Bronze Age, consolidating the HLA-DRB1*15:01 haplotype in Europe, and phase 2, the additional dissemination of the genetic MS risk through the Viking invasions, reinforcing inheritability by enabling a homozygous dominant inheritance. Full article
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<p>Charles Marcel Poser upon his induction into the Royal Society of Medicine in Edinburgh.</p>
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<p>The frequency of HLA-DRB1*15:01 increased notoriously (shown for illustration purposes by the number of red dots) after the introduction to Europe of domesticated animals by pastoralists between 5000-2500 years ago (adapted from Asgari and Pouzas, <span class="html-italic">Nature</span> 2024, [<a href="#B15-sclerosis-02-00023" class="html-bibr">15</a>].</p>
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<p>Genomes of selected infectious agents’ associations (links) detected utilizing diverse SNP identification methods. The approximately protection levels are liberally depicted in the figure strictly for illustration purposes. Samples were obtained from pastoralist sites and from later migration trajectories towards west and northern Europe from the Eurasian Steppe. Abbrv., EBV = Epstein-Barr Virus; VZV = Varicella-Zoster Virus; TBC = Tuberculosis; BRUC = Brucellosis; BACT INF = Bacterial Infections. (Adapted from Barrie et al., <span class="html-italic">Nature</span>, 2024) [<a href="#B21-sclerosis-02-00023" class="html-bibr">21</a>].</p>
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<p>Phase 1: introduction of the MS genetic risk into Europe through massive migrations from the Pontic Steppe (5000–2500 BCE). The arrows indicate the proposed pathways of the migration from the East to West and Northern Europe.</p>
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<p>Phase 2: genetic reinforcement of the genetic MS risk from Scandinavia to continental Europe and beyond (8th century to 11th century). The arrows indicate the historical paths of the Viking sagas.</p>
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<p>Atlas of MS, 2024. Source: Multiple Sclerosis International Federation [<a href="#B2-sclerosis-02-00023" class="html-bibr">2</a>].</p>
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18 pages, 11301 KiB  
Article
Indoor Radon Monitoring and Associated Diffuse Radon Emissions in the Flanks of Mt. Etna (Italy)
by Nunzia Voltattorni, Salvatore Giammanco, Gianfranco Galli, Andrea Gasparini and Marco Neri
Atmosphere 2024, 15(11), 1359; https://doi.org/10.3390/atmos15111359 - 12 Nov 2024
Viewed by 1889
Abstract
Between October 2021 and July 2024, radon measurements in air and soil were carried out in the South and East flanks of Etna volcano to check the possible correlation between radon emissions and active faults/eruptive fissures and to obtain preliminary data on any [...] Read more.
Between October 2021 and July 2024, radon measurements in air and soil were carried out in the South and East flanks of Etna volcano to check the possible correlation between radon emissions and active faults/eruptive fissures and to obtain preliminary data on any negative impacts on human health. Fifteen continuous indoor radon monitors were installed in homes, some of which are inhabited by patients suffering from Multiple Sclerosis and Amyotrophic Lateral Sclerosis. In all sites, the limit of 300 Bq/m3 indicated by the Euratom Directive 2013/59 was exceeded, even if slightly and for short periods. The highest values were recorded closest to active fault zones and during winters. Furthermore, 27 discrete indoor radon measurements were carried out using a passive method by means of activated charcoal canisters that were exposed for 48 h. Most of the values (>70%) were <100 Bq/m3; six canisters gave values >100 Bq/m3 and one >200 Bq/m3. Measurements of radon in soils were carried out using a Durridge RAD7 in the gardens of the homes in which the indoor radon measurements were made. The background radon values in soils were <5000 Bq/m3; the highest values (12,500 Bq/m3) were measured near the Aci Catena fault. The role of Etna’s faults in draining the deeper radon towards the surface and, therefore, into nearby homes is evident, with a consequent increase in the health risk caused by indoor radon pollution. Full article
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<p>The simplified geostructural map of Mt. Etna depicts the principal fault lines crossing the volcano and the locations of indoor radon measurements, numbered from 1 to 15. The urbanized regions are represented by light gray tones; contour lines are expressed in meters above sea level. PFS, Pernicana fault system; RFS, Ragalna fault system; TFS, Timpe fault system; FF, Fiandaca fault; TF, Trecastagni fault; ATF, Aci Trezza fault. VdB, Valle del Bove; CC, Central Craters. The light blue rectangle with a dotted outline indicates the area of Figure 4 and Figure 5.</p>
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<p>Schematic model of radon transport and release at the surface through faults or volcano-tectonic structures at Mt. Etna, with a qualitative scale of the level of impact of indoor radon accumulation as a function of the distance of the houses from the natural pathways (see blue and black arrows) of radon emission.</p>
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<p>(<b>a</b>) Portable alpha spectrometer used for in-soil radon measurements; and (<b>b</b>) activated charcoal canisters (ACC) used for discrete measurements of indoor radon concentration.</p>
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<p>(<b>a</b>) Variograms (experimental and modeled) and (<b>b</b>) distribution map of <sup>222</sup>Rn values measured in soil in the Pedara–Trecastagni area. See text for details.</p>
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<p>(<b>a</b>) Variograms (experimental and modeled) and (<b>b</b>) distribution map of <sup>220</sup>Rn values measured in soil in the Pedara–Trecastagni area. See text for details.</p>
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<p>Comparison among indoor radon values from the four types of ambience in the monitored houses, presented as box plots. The box plots are composed of lower and upper quartiles (box edges), median (the horizontal line inside the box and relative value), and whiskers (defined by minimum and maximum values) that show the spread of the data.</p>
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<p>Results of the continuous monitoring of indoor radon in the 15 sites selected on Mt. Etna from 2021 to 2024. In all plots, blue curves indicate the radon activity (in Bq/m<sup>3</sup>), orange curves the indoor air humidity (in %), red curves the indoor air temperature (in °C), and the yellow horizontal lines the radon threshold (300 Bq/m<sup>3</sup>) admitted for indoor radon exposure by the 2013/59 Euratom Directive.</p>
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<p>Results of the continuous monitoring of indoor radon in the 15 sites selected on Mt. Etna from 2021 to 2024. In all plots, blue curves indicate the radon activity (in Bq/m<sup>3</sup>), orange curves the indoor air humidity (in %), red curves the indoor air temperature (in °C), and the yellow horizontal lines the radon threshold (300 Bq/m<sup>3</sup>) admitted for indoor radon exposure by the 2013/59 Euratom Directive.</p>
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<p>Diagram showing the correlation between long-term averages of indoor radon activity and distance of monitoring sites from known active faults or eruptive fissures. The red-filled circles represent our data, which have been labeled according to <a href="#atmosphere-15-01359-t002" class="html-table">Table 2</a>. The blue-filled circles show the data from [<a href="#B41-atmosphere-15-01359" class="html-bibr">41</a>]. The blue dashed line represents the maximum threshold (300 Bq/m<sup>3</sup>) recommended by the World Health Organization (WHO) handbook [<a href="#B32-atmosphere-15-01359" class="html-bibr">32</a>]. The green dashed line indicates the limit of 100 Bq/m<sup>3</sup> recommended by the WHO as an attention threshold. The dotted red line represents the best-fit model for all of the data, which follows a power law (y = 3058.6x⁻⁰<sup>.</sup>⁵<sup>3</sup>⁷, with R<sup>2</sup> = 0.58).</p>
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<p>Radon data from the continuous monitoring station located outside site AER8, confronted with indoor radon values at the same site measured during the same period: (<b>a</b>) radon activity values measured in the ground at 50 cm depth; (<b>b</b>) radon activity values measured in the air at a height of 1m above the ground; and (<b>c</b>) radon activity values measured indoor (values measured every 15 min were integrated over 1 h periods in order to make them comparable with the continuous radon data).</p>
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31 pages, 977 KiB  
Review
Delivery of Neuroregenerative Proteins to the Brain for Treatments of Neurodegenerative Brain Diseases
by Eric T. Ebert, Kelly M. Schwinghamer and Teruna J. Siahaan
Life 2024, 14(11), 1456; https://doi.org/10.3390/life14111456 - 10 Nov 2024
Viewed by 687
Abstract
Neurodegenerative brain diseases such as Alzheimer’s disease (AD), multiple sclerosis (MS), and Parkinson’s disease (PD) are difficult to treat. Unfortunately, many therapeutic agents for neurodegenerative disease only halt the progression of these diseases and do not reverse neuronal damage. There is a demand [...] Read more.
Neurodegenerative brain diseases such as Alzheimer’s disease (AD), multiple sclerosis (MS), and Parkinson’s disease (PD) are difficult to treat. Unfortunately, many therapeutic agents for neurodegenerative disease only halt the progression of these diseases and do not reverse neuronal damage. There is a demand for finding solutions to reverse neuronal damage in the central nervous system (CNS) of patients with neurodegenerative brain diseases. Therefore, the purpose of this review is to discuss the potential for therapeutic agents like specific neurotrophic and growth factors in promoting CNS neuroregeneration in brain diseases. We discuss how BDNF, NGF, IGF-1, and LIF could potentially be used for the treatment of brain diseases. The molecule’s different mechanisms of action in stimulating neuroregeneration and methods to analyze their efficacy are described. Methods that can be utilized to deliver these proteins to the brain are also discussed. Full article
(This article belongs to the Section Medical Research)
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<p>The effects of BDNF and NGF on the cell signaling processes that potentially lead to cellular effects with the end results of neuroregeneration or neurorepair. BDNF binds to a homodimeric form of TrkB receptor, and NGF binds to a homodimeric form of TrkA receptors on the cell surface. Upon binding of BDNF and NGF to TrkB and TrkA, respectively, they stimulate SHC pathway activation to activate PIK3, followed by activation of PDK1 and Akt signaling pathways to generate axonal growth and cell survival. The second SHC pathway is via MEK that activates ERK and MAPK, followed by activation CREB to generate cell differentiation, proliferation, survival, and BDNF promotor transcription. BDNF activates the PLC pathway, followed by activation of IP3 and CAMK signals for generating synaptic plasticity and neurotransmission. The PLC pathway also activates DAG and PKC signals for cell survival and synaptic plasticity. Abbreviations: NGF, nerve growth factor; BDNF, brain-derived neurotrophic factor; TrkA, tropomyosin related kinase A; TrkB, tropomyosin-related kinase B; SHC, Src homology and collagen; PI3K, phosphatidylinositol 3-kinase; PDK1, 3′-phosphoinosotide-dependent kinase-1; AKT, protein kinase B; MEK, mitogen-activated protein kinase kinase; MAPK, mitogen-activated protein kinase; CREB, cAMP response element-binding protein; IP3, inositol triphosphate; CAMK, Ca<sup>2+</sup>/calmodulin-dependent protein kinase; DAG, diacylglycerol; PKC, protein kinase C.</p>
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<p>The signaling mechanism of IGF-1 upon binding to IGF-1 receptor (IGF-1R). In the extracellular, IGF-1 interacts with IGF binding protein (IGFBP). IGF-1R is a homodimeric receptor, and when activated, it has cellular effects in neuroregeneration or neuro-repair. Upon IGF-1 binding to IGF-1R, tyrosine residues on IGF-1R are autophosphorylated, creating binding sites for substrates such as insulin receptor substrate (IRS). IRS can bind to the receptor, allowing multiple pathways to be activated. In the first pathway, PIK3 can bind to IRS, which can activate AKT, ultimately inhibiting BAD and resulting in the cell survival and other beneficial effects. In the second pathway, the MAPK pathway is activated starting with the activation of Ras. The effects of activating this pathway are similar to activation of the PIK3 pathway. These signaling events ultimately lead to cell survival, myelination and myelin protection, and neuronal development. Abbreviations: IGF-1, insulin-like growth factor 1; IGFBP, insulin-like growth factor binding protein; IGF-1R, insulin-like growth factor 1 receptor; IRS, insulin receptor substrate; PI3K, phosphatidylinositol 3-kinase; PDK1, 3′-phosphoinosotide-dependent kinase-1; AKT, protein kinase B; mTOR, mammalian target of rapamycin; BAD, BCL2-associated agonist of cell death; Ras, rat sarcoma; Raf, rapidly accelerated fibrosarcoma; MEK, mitogen-activated protein kinase kinase; MAPK, mitogen-activated protein kinase; JNK, Jun N-terminal kinase.</p>
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<p>LIF signaling mechanism upon binding to LIF receptor that is constituted by LIFRβ and gp130 heterodimer. This binding process activates the RAS signaling pathway that stimulates Raf, followed by MEK and ERK signals. Another signaling process is via the PIK3 signaling process stimulated by the PIP2 and PIP3 conversion that activates AKT and mTOR signals. Both pathways produce various cellular responses, including (a) oligodendrocyte maturation and proliferation; (b) remyelination; and (c) oligodendrocyte precursor cell differentiation. Abbreviations: LIF, leukemia-inhibitory factor; LIFRβ, leukemia-inhibitory factor receptor β; gp130, glycoprotein 130; RAS, rat sarcoma; Raf, rapidly accelerated fibrosarcoma; MEK, mitogen-activated protein kinase kinase; ERK, extracellular signal regulated kinase; PI3K, phosphatidylinositol 3-kinase; PIP2/PIP3, phosphatidyl-(4,5)-bisphosphate/phosphatidylinositol-(3,4,5)-triphosphate; AKT, protein kinase B; mTOR, mammalian target of rapamycin.</p>
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14 pages, 4278 KiB  
Article
Panobinostat Attenuates Experimental Autoimmune Encephalomyelitis in Mice via Suppressing Oxidative Stress-Related Neuroinflammation and Mitochondrial Dysfunction
by Yanjia Shen, Jiaying Zhao, Ran Yang, Huilin Yang, Minmin Guo, Baixi Ji, Guanhua Du and Li Li
Int. J. Mol. Sci. 2024, 25(22), 12035; https://doi.org/10.3390/ijms252212035 - 9 Nov 2024
Viewed by 364
Abstract
Multiple sclerosis (MS) is an autoimmune disease mediated by T helper cells, which is characterized by neuroinflammation, axonal or neuronal loss, demyelination, and astrocytic gliosis. Histone deacetylase inhibitors (HDACis) are noted for their roles in easing inflammatory conditions and suppressing the immune response. [...] Read more.
Multiple sclerosis (MS) is an autoimmune disease mediated by T helper cells, which is characterized by neuroinflammation, axonal or neuronal loss, demyelination, and astrocytic gliosis. Histone deacetylase inhibitors (HDACis) are noted for their roles in easing inflammatory conditions and suppressing the immune response. Panobinostat, an HDACi, is now being used in treating multiple myeloma. Nevertheless, the effect of panobinostat on autoimmune diseases remains largely unclear. Thus, our research endeavored to determine if the administration of panobinostat could prevent experimental autoimmune encephalomyelitis (EAE) in mice, one of the most commonly used animal models of MS, and further explored the underlying mechanisms. The EAE mice were generated and then administered continuously with panobinostat at a dosage of 30 mg/kg for 16 days. The results indicated that panobinostat markedly alleviated the clinical symptoms of EAE mice, inhibiting demyelination and loss of oligodendrocytes in the central nervous system (CNS). Moreover, panobinostat decreased inflammation and the activation of microglia and astrocytes in the spinal cords of EAE mice. Mechanistically, treatment with panobinosat significantly suppressed M1 microglial polarization by blocking the activation of toll-like receptor 2 (TLR2)/myeloid differentiation factor 88 (MyD88)/interferon regulatory factor 5 (IRF5) pathway. Additionally, panobinostat inhibited mitochondrial dysfunction and reduced oxidative stress in the spinal cords of EAE mice. In conclusion, our findings reveal that panobinostat significantly ameliorates experimental autoimmune encephalomyelitis in mice by inhibiting oxidative stress-linked neuroinflammation and mitochondrial dysfunction. Full article
(This article belongs to the Special Issue Natural Products and Synthetic Compounds for Drug Development 2.0)
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<p>Panobinostat ameliorates the symptoms of EAE mice. (<b>A</b>) The process of this experiment. (<b>B</b>) Time course percentage changes in body weight in the mice from the respective group. (<b>C</b>) Temporal changes in the clinical scores for mice in each group. (<b>D</b>) The average neuromotor scores across the different groups. (<b>E</b>) The suspension behavior score was recorded on days 7, 14, 21, and 28 post-immunization in each group. Data are depicted as mean ± SEM (<span class="html-italic">n</span> = 9). <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. the control group; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. the group with EAE.</p>
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<p>Panobinostat averted the demyelination and depletion of oligodendrocytes located within the spinal cord tissues of mice affected by EAE. On day 28 post-immunization, spinal cord sections were stained with MBP to identify mature oligodendrocytes. Data are expressed as the mean with SEM indicated (<span class="html-italic">n</span> = 5), with a significant difference denoted by <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 compared to the control group; and * <span class="html-italic">p</span> &lt; 0.05 denoting significance relative to the group with EAE.</p>
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<p>Panobinostat attenuated the CNS inflammation and the microgial/astrogial activation in the spinal cord tissues of mice with EAE. Sections of the spinal cord were subjected to histological staining with H&amp;E, Iba-1 for microglia, and GFAP for astrocytes on day 28 post-immunization. Values are presented as mean ± SEM (<span class="html-italic">n</span> = 5), <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. the control group; * <span class="html-italic">p</span> &lt; 0.05 vs. the group with EAE.</p>
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<p>Panobinostat suppressed the polarization of M1 microglia and the generation of pro-inflammatory factors in the spinal cord tissues of mice with EAE. The mRNA levels of pro-inflammation factors (TNF-α, IL-1β, and MCP-1) (<b>A</b>–<b>C</b>) and M1 microglial markers (CD16, CD68, and CD86) (<b>D</b>–<b>F</b>) as ascertained by quantitative real-time RT-PCR. Results are shown as the mean ± SEM (<span class="html-italic">n</span> = 5), <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. the control group; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. the EAE group.</p>
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<p>Panobinostat reduced the levels of TLR2/MyD88/IRF5 expression in the spinal cord tissues of mice with EAE. The representative blots (<b>A</b>) and the quantitative analysis of protein levels (<b>B</b>–<b>D</b>). Results are shown as the mean ± SEM (<span class="html-italic">n</span> = 5), <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. the control group; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. the EAE group.</p>
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<p>Panobinostat attenuated the dysfunction associated with mitochondria in the spinal cord tissues of mice with EAE. (<b>A</b>) Representative blots. (<b>B</b>–<b>D</b>) Quantitative analysis of protein levels presented in (<b>A</b>). Results are shown as the mean ± SEM (<span class="html-italic">n</span> = 5), <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 vs. the control group; * <span class="html-italic">p</span> &lt; 0.05 vs. the EAE group.</p>
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<p>Panobinostat reduced oxidative stress in the spinal cord tissues of mice with EAE. (<b>A</b>) Representative blots. (<b>B</b>–<b>D</b>) Quantitative analysis of protein levels shown in (<b>A</b>). Results are shown as the mean ± SEM (<span class="html-italic">n</span> = 5), <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. the control group; * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001 vs. the EAE group.</p>
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37 pages, 2265 KiB  
Article
Altered Steroidome in Women with Multiple Sclerosis
by Radmila Kancheva, Martin Hill, Marta Velíková, Ludmila Kancheva, Josef Včelák, Radek Ampapa, Michal Židó, Ivana Štětkářová, Jana Libertínová, Michala Vosátková and Eva Kubala Havrdová
Int. J. Mol. Sci. 2024, 25(22), 12033; https://doi.org/10.3390/ijms252212033 - 8 Nov 2024
Viewed by 489
Abstract
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) mainly afflicting young women. Various steroids can influence the onset and development of the disease or, on the contrary, mitigate its course; however, a systematic review of steroidomic changes [...] Read more.
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) mainly afflicting young women. Various steroids can influence the onset and development of the disease or, on the contrary, mitigate its course; however, a systematic review of steroidomic changes in MS patients is lacking. Based on the gas chromatography tandem mass spectrometry (GC-MS/MS) platform and, in the case of estradiol, also using immunoassay, this study performed a comprehensive steroidomic analysis in 25 female MS patients aged 39(32, 49) years compared to 15 female age-matched controls aged 38(31, 46) years. A significant trend towards higher ratios of conjugated steroids to their unconjugated counterparts was found in patients, which is of particular interest in terms of the balance between excitatory and inhibitory steroid modulators of ionotropic receptors. Patients showed altered metabolic pathway to cortisol with decreased conversion of pregnenolone to 17-hydroxypregnenolone and 17-hydroxypregnenolone to 17-hydroxyprogesterone and increased conversion of 17-hydroxypregnenolone to dehydroepiandrosterone (DHEA), resulting in lower levels of 17-hydroxyprogesterone, as well as indications of impaired conversion of 11-deoxy-steroids to 11β-hydroxy-steroids but reduced conversion of cortisol to cortisone. Due to over-activation of hypothalamic-pituitary-adrenal axis (HPAA), however, cortisol and cortisone levels were higher in patients with indications of depleted cortisol synthesizing enzymes. Patients showed lower conversion of DHEA to androstenedione, androstenedione to testosterone, androstenedione to estradiol in the major pathway, and testosterone to estradiol in the minor pathway for estradiol synthesis at increased conversion of androstenedione to testosterone. They also showed lower conversion of immunoprotective Δ5 androstanes to their more potent 7α/β-hydroxy metabolites and had lower circulating allopregnanolone and higher ratio 3β-hydroxy-steroids to their neuroprotective 3α-hydroxy-counterparts. Full article
(This article belongs to the Special Issue New Perspectives in Steroidomics)
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<p>Comparison of circulating steroid levels in patients with early MS, advanced MS, and controls.</p>
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<p>Scheme of the balance between steroid sulfotransferase 2A1 (SULT2A1) and steroid sulfatase (STS); the symbols +, ~, and −, represent higher, unaltered, and lower level or molar ratio, respectively.</p>
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<p>Simplified scheme of the functioning of C17-hydroxylase, C17,20 lyase in Δ5, Δ4, and “backdoor pathway” and a pathway to the biosynthesis of cortisol; the symbols +, ~, −, ? below the arrows showing steroid conversions represent higher, unaltered, lower, and unavailable/possibly altered level or molar ratio, respectively, while these symbols inside the steroid A–circle show the same for steroid levels; the symbol C denotes that the symbol—belongs to the molar ratio of progesterone to pregnenolone sulfate; the dashed arrow shows the overall trend in the conversion of 17-deoxy-pregnanes to androstanes.</p>
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<p>Scheme of the actions of 5α-reductases (SRD5A1 and SRD5A2).</p>
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<p>Scheme of the action of 5β-reductase (AKR1D1).</p>
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<p>Simplified scheme of the alterations in the synthesis and metabolism of active androgens and estrogens; the symbols +, ~, −, ? represent higher, unaltered, lower, and unavailable/possibly altered steroid molar ratios, respectively, while these symbols inside the steroid A–circle show the same for steroid levels.</p>
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<p>Simplified scheme of the synthesis and interconversion of 7α-, 7β-, and 16α-hydroxy-Δ<sup>5</sup>-androstanes and the interconversion of cortisol and cortisone; the symbols +, ~, −, ? represent higher, unaltered, lower, and unavailable/possibly altered steroid molar ratios respectively, while these symbols inside the steroid A–circle show the same for steroid levels.</p>
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<p>Scheme of the balance between type 1C1 aldoketoreductase (AKR1C1) and type 2 17β-hydroxysteroid dehydrogenase (HSD17B2).</p>
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<p>Scheme of the balance between type 1C2 aldoketoreductase (AKR1C2) on one side and type 2 and 6 17β-hydroxysteroid dehydrogenases (HSD17B2 and HSD17B6) on the other.</p>
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16 pages, 2667 KiB  
Article
Decreased Expression of the EAAT5 Glutamate Transporter at Photoreceptor Synapses in Early, Pre-Clinical Experimental Autoimmune Encephalomyelitis, a Mouse Model of Multiple Sclerosis
by Ali El Samad, Julia Jaffal, Dalia R. Ibrahim, Karin Schwarz and Frank Schmitz
Biomedicines 2024, 12(11), 2545; https://doi.org/10.3390/biomedicines12112545 - 7 Nov 2024
Viewed by 437
Abstract
Background: Multiple sclerosis is a frequent neuroinflammatory and neurodegenerative disease of the central nervous system that includes alterations in the white and gray matter of the brain. The visual system is frequently affected in multiple sclerosis. Glutamate excitotoxicity might play a role in [...] Read more.
Background: Multiple sclerosis is a frequent neuroinflammatory and neurodegenerative disease of the central nervous system that includes alterations in the white and gray matter of the brain. The visual system is frequently affected in multiple sclerosis. Glutamate excitotoxicity might play a role in disease pathogenesis. Methodology: In the present study, we analyzed with qualitative and quantitative immunofluorescence microscopy and Western blot analyses whether alterations in the EAAT5 (SLC1A7) glutamate transporter could be involved in the previously observed alterations in structure and function of glutamatergic photoreceptor ribbon synapses in the EAE mouse model of MS. EAAT5 is a presynaptic glutamate transporter located near the presynaptic release sites. Results: We found that EAAT5 was strongly reduced at the photoreceptor synapses of EAE retinas in comparison to the photoreceptor synapses of the respective control retinas as early as day 9 post-immunization. The Western blot analyses demonstrated a decreased EAAT5 expression in EAE retinas. Conclusions: Our data illustrate early alterations of the EAAT5 glutamate transporter in the early pre-clinical phase of EAE/MS and suggest an involvement of EAAT5 in the previously observed early synaptic changes at photoreceptor synapses. The precise mechanisms need to be elucidated by future investigations. Full article
(This article belongs to the Special Issue 10th Anniversary of Biomedicines—Advances in Multiple Sclerosis)
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<p>Validation of the specificity of antigen affinity-purified rabbit polyclonal EAAT5 antibody. (<b>A1</b>,<b>A2</b>) A magnified micrograph of the OPL double-immunolabeled with affinity-purified rabbit polyclonal anti-EAAT5 antibody in green and with the mouse monoclonal anti-RIBEYE (2D9) antibody in red, respectively. (<b>A3</b>) A merged image for both antibodies in the OPL of photoreceptor synapses. (<b>B1</b>–<b>E3</b>) The pre-absorption experiments of EAAT5 signals performed on 0.5 μm-thin (semi-thin) wild-type retina sections. (<b>B1</b>,<b>D1</b>) The EAAT5 antibody was pre-absorbed with either an unrelated control fusion protein or (<b>C1</b>,<b>E1</b>) with the EAAT5 fusion protein against which the antibody was raised. (<b>B2</b>,<b>C2</b>,<b>D2</b>,<b>E2</b>) The RIBEYE immunosignals were unaffected by blocking with either fusion protein. (<b>B3</b>,<b>C3</b>,<b>D3</b>,<b>E3</b>) The signals from the respective red and green channels were overlaid. (<b>F</b>–<b>H</b>) Western blots (WB) analyses of the EAAT5 antibody that was generated against EAAT5 fusion protein. (<b>F</b>,<b>G1</b>) The EAAT5 antibody detects a ~20 kDa band in lane 1 and 2 corresponding to the EAAT5 fusion protein. (<b>G1</b>) Lane 3 containing Cre control fusion protein did not show a band/reactivity with the EAAT5 antibody thus demonstrating the specificity of the antigen affinity-purified polyclonal EAAT5 antibody. (<b>G2</b>) shows anti-HexaHIS antibody incubation of the very same blot strip in G1, manifesting the loading of both EAAT5 and Cre control fusion protein. (H) single band ≈ 65 kDa is detected in retina lysate from wild-type mice by EAAT5 antibody. Abbreviations: OPL, outer plexiform layer. Scale bars: 5 µm.</p>
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<p>EAAT5 immunofluorescence signals are strongly reduced in photoreceptor synapses in OPL from MOG/CFA-injected EAE mice in comparison to CFA-injected control mice. (<b>A1</b>–<b>D3</b>) Double immunolabeling of 0.5 µm-thin (semi-thin) retina sections from CFA-injected control mice and MOG/CFA-injected EAE mice (day 9 post injection) with mouse monoclonal antibody against actin (clone C4, in red channel) and rabbit polyclonal antibody against EAAT5 (in green channel). Immunosignals from respective green and red channels were superimposed in (<b>A3</b>,<b>B3</b>,<b>C3</b>,<b>D3</b>). (<b>C1</b>–<b>D3</b>) Zoomed view of OPL that is double immuno-labeled with EAAT5 and RIBEYE antibodies. (<b>E1</b>) Histogram depicts mean fluorescence intensities (%) of EAAT5 immunosignals of controls (CFA) and EAE mice (MOG/CFA) in OPL. Values in (<b>E1</b>) are means ± S.E.M. (****, <span class="html-italic">p</span> ≤ 0.0001). (<b>E2</b>) Box and whisker diagram shows distribution of individual values from (<b>E1</b>). Boxes mean and median values denoted by horizontal dashed blue line and solid green line, respectively. Boxes illustrate 25th–75th percentiles of data points, and whiskers represent 1.5 times of interquartile range (IQR). Statistical significance was determined with Mann–Whitney U-test (for details, see Methods <a href="#sec2dot3-biomedicines-12-02545" class="html-sec">Section 2.3</a>). Abbreviations: CFA, complete Freund’s adjuvant; EAE, experimental autoimmune encephalomyelitis; MOG, myelin oligodendrocyte protein; N, number of mice; n, number of confocal images analyzed to quantify integrated densities of fluorescence signals from retinal sections; OPL, outer plexiform layer; S.E.M., standard error of mean. Scale bars: 5 µm.</p>
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<p>The Western blot (WB) analyses of the total EAAT5 expression in the retinal lysates of MOG/CFA-injected EAE mice and CFA-injected control mice on day 9 after injection. (<b>A</b>) The EAAT5 antibody detects EAAT5 at the expected running position of ≈65 kDa in the WB analyses of retinal lysates from CFA-injected control mice and MOG/CFA-injected EAE mice (lanes 1 and 2, respectively). (<b>B</b>) shows the same WB membrane as shown in (A) but re-probed with an antibody against actin. Actin (at ≈43 kDa) served as loading control. (<b>C</b>) summarizes the results from 5 independent Western blot experiments in which EAAT5 expression was analyzed in retinas from CFA- and MOG/CFA-injected mice (as normalized EAAT5 expression, normalized to the loading control (actin)). CFA control group values were assigned to 100% for better assessment of the relative differences between CFA-injected control mice and MOG/CFA-injected EAE mice. Values in (<b>C</b>) are means ± S.E.M. One sample <span class="html-italic">t</span>-test was used to determine the statistical significance (<span class="html-italic">p</span>-value). Abbreviations: WB, Western blot; CFA, complete Freund’s adjuvant; EAE, experimental autoimmune encephalomyelitis; MOG, myelin oligodendrocyte protein; S.E.M., standard error of the mean; N, number of experiments; **, <span class="html-italic">p</span> ≤ 0.01.</p>
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20 pages, 1874 KiB  
Systematic Review
Effectiveness and Feasibility of Blood Flow Restriction Training for People with Multiple Sclerosis: A Systematic Review
by Aitor Blázquez-Fernández, Selena Marcos-Antón and Roberto Cano-de-la-Cuerda
Neurol. Int. 2024, 16(6), 1385-1404; https://doi.org/10.3390/neurolint16060104 - 7 Nov 2024
Viewed by 329
Abstract
Background: Multiple sclerosis (MS) is an immune-mediated inflammatory disease that primarily targets the myelin of axons. Extremities are frequently affected, resulting in a negative impact on both activities of daily living (ADL) and quality of life. In recent years, there has been increasing [...] Read more.
Background: Multiple sclerosis (MS) is an immune-mediated inflammatory disease that primarily targets the myelin of axons. Extremities are frequently affected, resulting in a negative impact on both activities of daily living (ADL) and quality of life. In recent years, there has been increasing interest in the potential benefits of exercise and blood flow restriction training (BFRT) programs as a therapeutic tool in people with neurological disorders. The aim of the present systematic review was to know the clinical effects of BFRT programs in people with MS. Methods: A systematically comprehensive literature search was conducted and registered in PROSPERO prior to its execution under the reference number CRD42024588963. The following data sources were used: Pubmed, Scopus, Web of Science (WOS) and the Cochrane Library. The following data were extracted from the papers: study design, sample, interventions, dosage, outcome measures and results. To assess the methodological quality of the papers included, the Quality Index of Downs and Black was used. Additionally, the articles were classified according to the levels of evidence and grades of recommendation for diagnosis studies established by the Oxford Center for Evidence-Based Medicine. Also, the Cochrane Handbook for Systematic Reviews of Interventions was used by two independent reviewers to assess risk of bias, assessing the six different domains. Results: Seven articles with a total of 71 participants were included in the review. Of the seven articles, five papers studied the effectiveness of BFRT combined with strengthening exercises and two papers studied the effect of BFRT combined with aerobic exercise. Of the five articles that analyzed BFRT combined with strengthening exercises, only two presented a control group. Both performed a low-load resistance training in combination with BFRT with four series, 30/15/15/15 repetitions and a rest of 1 min between the series and 3 min between the exercises. The control groups to which they were compared performed a high intensity strengthening exercise protocol which had the same exercises, sets, rests and duration of the protocol as the experimental groups. For those two papers which investigated the effects of BFRT combined with aerobic training, exercise was performed in two sessions per week for a period of 8 and 6 weeks, respectively. In both studies, the experimental protocol began with a warm-up phase and ended with a cool-down phase, and there were differences in cuff management. All these investigations found positive effects in the interventions that combined exercise with BFRT. The characteristics, outcome measures, effects of the interventions and the assessment of the methodological quality of the included studies and risk of bias are shown in the tables. Conclusions: BFRT in people with MS appears to be effective and safe for people with MS. BFRT might show positive clinical effects on strength, hypertrophy and balance outcomes. Nevertheless, future research should be conducted with better methodological quality to ensure the potential benefits of BFRT in people with MS since the studies analyzed present a high risk of bias and methodological limitations. Full article
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<p>PRISMA Flow chart for identifying studies for systematic review.</p>
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<p>Risk of bias analysis [<a href="#B26-neurolint-16-00104" class="html-bibr">26</a>,<a href="#B27-neurolint-16-00104" class="html-bibr">27</a>,<a href="#B28-neurolint-16-00104" class="html-bibr">28</a>,<a href="#B29-neurolint-16-00104" class="html-bibr">29</a>,<a href="#B30-neurolint-16-00104" class="html-bibr">30</a>,<a href="#B31-neurolint-16-00104" class="html-bibr">31</a>,<a href="#B32-neurolint-16-00104" class="html-bibr">32</a>].</p>
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<p>Summary plot of risk of bias.</p>
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15 pages, 4413 KiB  
Article
Gene Expression and Alternative Splicing Analysis in a Large-Scale Multiple Sclerosis Study
by Müge Sak, Julia H. Chariker, Juw Won Park and Eric Christian Rouchka
Int. J. Mol. Sci. 2024, 25(22), 11957; https://doi.org/10.3390/ijms252211957 - 7 Nov 2024
Viewed by 348
Abstract
Multiple Sclerosis (MS) is an autoimmune neurodegenerative disease affecting approximately 3 million people globally. Despite rigorous research on MS, aspects of its development and progression remain unclear. We utilized a publicly available RNA-seq dataset (GSE138614) consisting of the post-mortem white matter tissues of [...] Read more.
Multiple Sclerosis (MS) is an autoimmune neurodegenerative disease affecting approximately 3 million people globally. Despite rigorous research on MS, aspects of its development and progression remain unclear. We utilized a publicly available RNA-seq dataset (GSE138614) consisting of the post-mortem white matter tissues of five donors without any neurological disorders and ten MS patient donors. We investigated gene expression levels correlated with tissue inflammation and alternative splicing to identify possible pathological isoforms in MS tissues. We identified RNA-binding motifs, differentially expressed RNA-binding proteins, and single-nucleotide polymorphisms (SNPs) to unravel possible mechanisms of alternative splicing. Genes with expression changes that were positively correlated with tissue inflammation were enriched in the immune system and receptor interaction pathways. Genes showing a negative correlation were enriched in nervous system development and in metabolic pathways. A comparison of normal-appearing white matter (NAWM) and active or chronic active lesions within the same donors identified genes playing roles in immunity, white matter injury repair, and remyelination. We identified exon skipping events and spontaneous SNPs in membrane-associated ring-CH-type finger-1 (MARCHF1), UDP glycosyltransferase-8 (UGT8), and other genes important in autoimmunity and neurodegeneration. Overall, we identified unique genes, pathways, and novel splicing events that can be further investigated as potential novel drug targets for MS treatment. Full article
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<p>Differential expression of WM tissues from MS and non-MS donors. (<b>A</b>) Volcano plot showing differentially expressed genes between MS and non-MS donor tissue samples. (<b>B</b>) Enriched gene ontology biological processes (GO:BP) and (<b>C</b>) KEGG pathways from the differentially expressed genes.</p>
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<p>Genes showing expression changes that are (<b>A</b>) positively and (<b>B</b>) negatively correlated with tissue inflammation levels. (<b>C</b>) Enriched GO:BP and KEGG pathways for genes showing expression levels positively correlated with inflammation. (<b>D</b>) Enriched GO:BP and KEGG pathways for genes showing expression levels negatively correlated with inflammation.</p>
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<p>Differentially spliced genes in all tissues from MS donor samples compared to non-MS samples. (<b>A</b>) UpSet graph showing the number of alternatively spliced genes in each category of tissues and intersections. (<b>B</b>) Differentially expressed RNA-binding proteins involved in alternative splicing. (<b>C</b>) Sashimi plot of the differentially spliced <span class="html-italic">BCAS1</span> gene in MS and non-MS tissues. The numbers represent the sequence-based junction counts. (<b>D</b>) Exon structure of known <span class="html-italic">BCAS1</span> transcripts.</p>
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<p>Volcano plots of differentially expressed genes in different tissue types from the same donors. (<b>A</b>) AL compared to NAWM in donor S6; (<b>B</b>) CA lesions compared to NAWM in donor S9; and (<b>C</b>) S14 CA vs. NAWM.</p>
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<p>(<b>A</b>) Sashimi plot of the <span class="html-italic">MARCHF1</span> gene that is differentially spliced in CA lesions. The numbers represent the sequence-based junction counts. (<b>B</b>) Exon structure of known transcripts of <span class="html-italic">MARCHF1</span>. The known MS risk allele is shown in red (rs72989863), and the identified spontaneous SNPs are shown in black. The skipped exon 4 is highlighted in yellow in both (<b>A</b>,<b>B</b>).</p>
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34 pages, 3816 KiB  
Review
The Yin and Yang of Microglia-Derived Extracellular Vesicles in CNS Injury and Diseases
by Mousumi Ghosh and Damien D. Pearse
Cells 2024, 13(22), 1834; https://doi.org/10.3390/cells13221834 - 6 Nov 2024
Viewed by 510
Abstract
Microglia, the resident immune cells of the central nervous system (CNS), play a crucial role in maintaining neural homeostasis but can also contribute to disease and injury when this state is disrupted or conversely play a pivotal role in neurorepair. One way that [...] Read more.
Microglia, the resident immune cells of the central nervous system (CNS), play a crucial role in maintaining neural homeostasis but can also contribute to disease and injury when this state is disrupted or conversely play a pivotal role in neurorepair. One way that microglia exert their effects is through the secretion of small vesicles, microglia-derived exosomes (MGEVs). Exosomes facilitate intercellular communication through transported cargoes of proteins, lipids, RNA, and other bioactive molecules that can alter the behavior of the cells that internalize them. Under normal physiological conditions, MGEVs are essential to homeostasis, whereas the dysregulation of their production and/or alterations in their cargoes have been implicated in the pathogenesis of numerous neurodegenerative diseases, including Alzheimer’s disease (AD), Parkinson’s disease (PD), multiple sclerosis (MS), spinal cord injury (SCI), and traumatic brain injury (TBI). In contrast, MGEVs may also offer therapeutic potential by reversing inflammation or being amenable to engineering for the delivery of beneficial biologics or drugs. The effects of MGEVs are determined by the phenotypic state of the parent microglia. Exosomes from anti-inflammatory or pro-regenerative microglia support neurorepair and cell survival by delivering neurotrophic factors, anti-inflammatory mediators, and molecular chaperones. Further, MGEVs can also deliver components like mitochondrial DNA (mtDNA) and proteins to damaged neurons to enhance cellular metabolism and resilience. MGEVs derived from pro-inflammatory microglia can have detrimental effects on neural health. Their cargo often contains pro-inflammatory cytokines, molecules involved in oxidative stress, and neurotoxic proteins, which can exacerbate neuroinflammation, contribute to neuronal damage, and impair synaptic function, hindering neurorepair processes. The role of MGEVs in neurodegeneration and injury—whether beneficial or harmful—largely depends on how they modulate inflammation through the pro- and anti-inflammatory factors in their cargo, including cytokines and microRNAs. In addition, through the propagation of pathological proteins, such as amyloid-beta and alpha-synuclein, MGEVs can also contribute to disease progression in disorders such as AD and PD, or by the transfer of apoptotic or necrotic factors, they can induce neuron toxicity or trigger glial scarring during neurological injury. In this review, we have provided a comprehensive and up-to-date understanding of the molecular mechanisms underlying the multifaceted role of MGEVs in neurological injury and disease. In particular, the role that specific exosome cargoes play in various pathological conditions, either in disease progression or recovery, will be discussed. The therapeutic potential of MGEVs has been highlighted including potential engineering methodologies that have been employed to alter their cargoes or cell-selective targeting. Understanding the factors that influence the balance between beneficial and detrimental exosome signaling in the CNS is crucial for developing new therapeutic strategies for neurodegenerative diseases and neurotrauma. Full article
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<p>The function of microglial exosomes is influenced by the phenotypic state of the parent cell. Exosomal vesicles released from anti-inflammatory microglia are depicted in green, representing their neuroprotective and pro-regenerative roles (indicated by green arrows). In contrast, EVs derived from pro-inflammatory microglia are shown in red, indicating their association with heightened neuroinflammation, cell death and neurodegenerative conditions (indicated by red arrows).</p>
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<p>Biogenesis of exosomal vesicles.</p>
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<p>miRNA-driven beneficial roles of microglial exosomes in the CNS.</p>
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<p>Detrimental effects of EVs released from pro-inflammatory microglia.</p>
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<p>Critical steps for translating microglial exosomes from bench to bedside.</p>
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28 pages, 1717 KiB  
Systematic Review
Effectiveness of Robotic Devices for Medical Rehabilitation: An Umbrella Review
by Kei Kiyono, Shigeo Tanabe, Satoshi Hirano, Takuma Ii, Yuki Nakagawa, Koki Tan, Eiichi Saitoh and Yohei Otaka
J. Clin. Med. 2024, 13(21), 6616; https://doi.org/10.3390/jcm13216616 - 4 Nov 2024
Viewed by 737
Abstract
Background/Objectives: Clinical trials have investigated the efficacy of rehabilitation robotics for various pathological conditions, but the overall impact on rehabilitation practice remains unclear. We comprehensively examined and analyzed systematic reviews (SRs) of randomized controlled trials (RCTs) investigating rehabilitative interventions with robotic devices. Methods: [...] Read more.
Background/Objectives: Clinical trials have investigated the efficacy of rehabilitation robotics for various pathological conditions, but the overall impact on rehabilitation practice remains unclear. We comprehensively examined and analyzed systematic reviews (SRs) of randomized controlled trials (RCTs) investigating rehabilitative interventions with robotic devices. Methods: Four databases were searched using term combinations of keywords related to robotic devices, rehabilitation, and SRs. The SR meta-analyses were categorized into “convincing”, “highly suggestive”, “suggestive”, “weak”, or “non-significant” depending on evidence strength and validity. Results: Overall, 62 SRs of 341 RCTs involving 14,522 participants were identified. Stroke was most frequently reported (40 SRs), followed by spinal cord injury (eight SRs), multiple sclerosis (four SRs), cerebral palsy (four SRs), Parkinson’s disease (three SRs), and neurological disease (any disease causing limited upper- and lower-limb functioning; three SRs). Furthermore, 38, 21, and 3 SRs focused on lower-limb devices, upper-limb devices, and both upper- and lower-limb devices, respectively. Quantitative synthesis of robotic intervention effects was performed by 51 of 62 SRs. Robot-assisted training was effective for various outcome measures per disease. Meta-analyses offering suggestive evidence were limited to studies on stroke. Upper-limb devices were effective for motor control and activities of daily living, and lower-limb devices for walking independence in stroke. Conclusions: Robotic devices are useful for improving impairments and disabilities in several diseases. Further high-quality SRs including RCTs with large sample sizes and meta-analyses of these RCTs, particularly on non-stroke-related diseases, are required. Further research should also ascertain which type of robotic device is the most effective for improving each specific impairment or disability. Full article
(This article belongs to the Special Issue Innovations in Neurorehabilitation)
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<p>PRIOR flowchart. EEG, electroencephalography; EMG, electromyography; RCT, randomized controlled trials; tDCS, transcranial direct current stimulation.</p>
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<p>Number of systematic reviews (SRs), randomized controlled trials (RCTs), and participants according to diseases. Dark blue, upper-limb devices; blue, lower-limb devices; light blue, upper- and lower-limb devices. Number of SRs (<b>A</b>), RCTs (<b>B</b>), and participants (<b>C</b>). SRs on neurological disease included RCTs investigating stroke, cerebral palsy, and brain injury. Duplicates were excluded from RCTs (<b>B</b>) and corresponding participants (<b>C</b>).</p>
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<p>Number of robotic devices according to diseases. (<b>A</b>) Upper-limb devices; (<b>B</b>) lower-limb devices.</p>
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17 pages, 4491 KiB  
Article
Computational Analysis of S1PR1 SNPs Reveals Drug Binding Modes Relevant to Multiple Sclerosis Treatment
by Katarina Kores, Samo Lešnik and Urban Bren
Pharmaceutics 2024, 16(11), 1413; https://doi.org/10.3390/pharmaceutics16111413 - 3 Nov 2024
Viewed by 622
Abstract
Background/Objectives: Multiple sclerosis (MS) is an autoimmune disorder of the central nervous system (CNS) characterized by myelin and axonal damage with a globally rising incidence. While there is no known cure for MS, various disease-modifying treatments (DMTs) exist, including those targeting Sphingosine-1-Phosphate Receptors [...] Read more.
Background/Objectives: Multiple sclerosis (MS) is an autoimmune disorder of the central nervous system (CNS) characterized by myelin and axonal damage with a globally rising incidence. While there is no known cure for MS, various disease-modifying treatments (DMTs) exist, including those targeting Sphingosine-1-Phosphate Receptors (S1PRs), which play important roles in immune response, CNS function, and cardiovascular regulation. This study focuses on understanding how nonsynonymous single nucleotide polymorphisms (rs1299231517, rs1323297044, rs1223284736, rs1202284551, rs1209378712, rs201200746, and rs1461490142) in the S1PR1’s active site affect the binding of endogenous ligands, as well as different drugs used in MS management. Methods: Extensive molecular dynamics simulations and linear interaction energy (LIE) calculations were employed to predict binding affinities and potentially guide future personalized medicinal therapies. The empirical parameters of the LIE method were optimized using the binding free energies calculated from experimentally determined IC50 values. These optimized parameters were then applied to calculate the binding free energies of S1P to mutated S1PR1, which correlated well with experimental values, confirming their validity for assessing the impact of SNPs on S1PR1 binding affinities. Results: The binding free energies varied from the least favorable −8.2 kcal/mol for the wild type with ozanimod to the most favorable −16.7 kcal/mol for the combination of siponimod with the receptor carrying the F2055.42L mutation. Conclusions: We successfully demonstrated the differences in the binding modes, interactions, and affinities of investigated MS drugs in connection with SNPs in the S1PR1 binding site, resulting in several viable options for personalized therapies depending on the present mutations. Full article
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<p>Chemical structures of the endogenic natural mediator and drugs used in MS treatment with a known S1PR1 action. (<b>a</b>) Sphingosine-1-phosphate (S1P); (<b>b</b>) fingolimod (S) phosphate (FTY720-P); (<b>c</b>) siponimod (BAF312); (<b>d</b>) ozanimod; and (<b>e</b>) ponesimod.</p>
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<p>Workflow of this study. For the optimization of the empirical LIE parameters, wild-type systems with different drugs were prepared and subjected to MD simulations. The optimized α and β parameters were then used in subsequent steps: the validation of the parameters with MD simulations of the mutated systems bound with sphingosine-1-phosphate (S1P), the exploration of SNP-based binding modes where different SNPs were introduced, and finally, the performance of MD simulations for all the examined drugs.</p>
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<p>Heatmap representation of binding modes of investigated mutation–drug combinations. The values shown in the heatmap were calculated and colored according to the normalized binding free energy for each compound. Value 0 means that the binding free energy was the least favorable, while value 10 means that the compound had the most favorable binding free energy.</p>
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<p>The interaction analysis of S1P (green) binding to (<b>a</b>) the wild type and (<b>b</b>) the A293<sup>7.35</sup>T mutant. Black dotted lines depict hydrogen bonds, blue dotted lines depict hydrophobic interactions, and orange dotted lines in combination with orange spheres depict salt bridges. For better clarity of the obtained results, we focused on the interactions with ≥25.0% occupancy throughout each MD simulation. A representative snapshot from the corresponding MD trajectory was applied. Implicit hydrogen atoms are not shown for better clarity.</p>
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<p>The interaction analysis of siponimod (purple) binding to (<b>a</b>) the wild type and (<b>b</b>) the A293<sup>7.35</sup>T mutant. Black dotted lines depict hydrogen bonds, blue dotted lines depict hydrophobic interactions, and orange dotted lines in combination with orange spheres depict salt bridges. For better clarity of the obtained results, we focused on the interactions with ≥25.0% occupancy throughout each MD simulation. A representative snapshot from the corresponding MD trajectory is applied. Implicit hydrogen atoms are not shown for better clarity.</p>
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<p>Native (blue) and redocked (light purple) poses of S1P (<b>left</b>) and of fingolimod (<b>right</b>) in S1PR1 protein (gray). RMSD: 2.41 and 2.46 Å, respectively.</p>
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<p>Native (blue) and redocked (light purple) poses of siponimod (<b>left</b>) and of ozanimod (<b>right</b>) in S1PR1 protein (gray). RMSD: 0.97 and 1.25 Å, respectively.</p>
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