An updated review of teriflunomide's use in multiple sclerosis

Discovery and Mechanistic Understanding of a Lipase from Rhizorhabdus dicambivorans for Efficient Ester Aminolysis in Aromatic Amines

The formation of amide bonds via aminolysis of esters by lipases generates a diverse range of amide frameworks in biosynthetic chemistry. Few lipases have satisfactory activity towards bulky aromatic amines despite numerous attempts to improve the efficiency of this transformation. Here, we report the discovery of a new intracellular lipase (Ndbn) with a broad substrate scope. Ndbn turns over a range of esters and aromatic amines in the presence of water (2 %; v/v), producing a high yield of multiple valuable amides. Remarkably, a higher conversion rate was observed for the synthesis of amides from substrates with aromatic amine rather than aliphatic amines. Molecular dynamics (MD) and quantum mechanical/molecular mechanical (QM/MM) studies showcase the mechanism for the preference for aromatic amines, including a more suitable orientation, shorter catalytic distances in the active site pocket and a lower reaction barrier for aromatic than for aliphatic amines. This unique lipase is thus a promising biocatalyst for the efficient synthesis of aromatic amides.

Serum teriflunomide concentrations in routine multiple sclerosis therapy: A cross-sectional pilot study

BACKGROUND

Teriflunomide is administered orally to treat relapsing-remitting multiple sclerosis. In this prospective pilot study, the free and total serum concentrations of teriflunomide obtained during routine health care were measured and their relationship with disease activity was evaluated.

METHODS

Eighty-nine patients were included in this study. Blood samples were collected from April 2021 to February 2022, and free and total teriflunomide serum concentrations were measured. Patient assessment involved monitoring of blood counts and potential adverse effects of teriflunomide.

RESULTS

In the steady-state group, total teriflunomide concentrations ranged from 14.7 to 144.2 mg/L, while free concentrations from 31.1 to 389.7 μg/L. In the non-steady-state group, the total concentration ranged from 2.2 to 59.3 mg/L, with free concentrations ranging from 6.8 to 143.5 μg/L. In the steady-state group, a significant inverse correlation was found between absolute peripheral blood lymphocyte count and both total and free teriflunomide serum concentrations.

CONCLUSION

Although all patients were treated with the same dose, up to a 10-fold difference in total and free teriflunomide serum concentrations, and up to a 5-fold difference in steady-state trough concentrations were observed. This vast interindividual variability can potentially lead to toxicity or, conversely, to suboptimal therapeutic concentrations of teriflunomide, with the risk of further worsening of multiple sclerosis compensation.

Unveiling the Antiviral Capabilities of Targeting Human Dihydroorotate Dehydrogenase against SARS-CoV-2

The urgent need for effective treatments against emerging viral diseases, driven by drug-resistant strains and new viral variants, remains critical. We focus on inhibiting the human dihydroorotate dehydrogenase (HsDHODH), one of the main enzymes responsible for pyrimidine nucleotide synthesis. This strategy could impede viral replication without provoking resistance. We evaluated naphthoquinone fragments, discovering potent HsDHODH inhibition with IC50 ranging from 48 to 684 nM, and promising in vitro anti-SARS-CoV-2 activity with EC50 ranging from 1.2 to 2.3 μM. These compounds exhibited low toxicity, indicating potential for further development. Additionally, we employed computational tools such as molecular docking and quantitative structure-activity relationship (QSAR) models to analyze protein-ligand interactions, revealing that these naphthoquinones exhibit a protein binding pattern similar to brequinar, a potent HsDHODH inhibitor. These findings represent a significant step forward in the search for effective antiviral treatments and have great potential to impact the development of new broad-spectrum antiviral drugs.

DHODH inhibition enhances the efficacy of immune checkpoint blockade by increasing cancer cell antigen presentation

Pyrimidine nucleotide biosynthesis is a druggable metabolic dependency of cancer cells, and chemotherapy agents targeting pyrimidine metabolism are the backbone of treatment for many cancers. Dihydroorotate dehydrogenase (DHODH) is an essential enzyme in the de novo pyrimidine biosynthesis pathway that can be targeted by clinically approved inhibitors. However, despite robust preclinical anticancer efficacy, DHODH inhibitors have shown limited single-agent activity in phase 1 and 2 clinical trials. Therefore, novel combination therapy strategies are necessary to realize the potential of these drugs. To search for therapeutic vulnerabilities induced by DHODH inhibition, we examined gene expression changes in cancer cells treated with the potent and selective DHODH inhibitor brequinar (BQ). This revealed that BQ treatment causes upregulation of antigen presentation pathway genes and cell surface MHC class I expression. Mechanistic studies showed that this effect is 1) strictly dependent on pyrimidine nucleotide depletion, 2) independent of canonical antigen presentation pathway transcriptional regulators, and 3) mediated by RNA polymerase II elongation control by positive transcription elongation factor B (P-TEFb). Furthermore, BQ showed impressive single-agent efficacy in the immunocompetent B16F10 melanoma model, and combination treatment with BQ and dual immune checkpoint blockade (anti-CTLA-4 plus anti-PD-1) significantly prolonged mouse survival compared to either therapy alone. Our results have important implications for the clinical development of DHODH inhibitors and provide a rationale for combination therapy with BQ and immune checkpoint blockade.

Update and Application of a Deep Learning Model for the Prediction of Interactions between Drugs Used by Patients with Multiple Sclerosis

Patients with multiple sclerosis (MS) often take multiple drugs at the same time to modify the course of disease, alleviate neurological symptoms and manage co-existing conditions. A major consequence for a patient taking different medications is a higher risk of treatment failure and side effects. This is because a drug may alter the pharmacokinetic and/or pharmacodynamic properties of another drug, which is referred to as drug-drug interaction (DDI). We aimed to predict interactions of drugs that are used by patients with MS based on a deep neural network (DNN) using structural information as input. We further aimed to identify potential drug-food interactions (DFIs), which can affect drug efficacy and patient safety as well. We used DeepDDI, a multi-label classification model of specific DDI types, to predict changes in pharmacological effects and/or the risk of adverse drug events when two or more drugs are taken together. The original model with ~34 million trainable parameters was updated using >1 million DDIs recorded in the DrugBank database. Structure data of food components were obtained from the FooDB database. The medication plans of patients with MS (n = 627) were then searched for pairwise interactions between drug and food compounds. The updated DeepDDI model achieved accuracies of 92.2% and 92.1% on the validation and testing sets, respectively. The patients with MS used 312 different small molecule drugs as prescription or over-the-counter medications. In the medication plans, we identified 3748 DDIs in DrugBank and 13,365 DDIs using DeepDDI. At least one DDI was found for most patients (n = 509 or 81.2% based on the DNN model). The predictions revealed that many patients would be at increased risk of bleeding and bradycardic complications due to a potential DDI if they were to start a disease-modifying therapy with cladribine (n = 242 or 38.6%) and fingolimod (n = 279 or 44.5%), respectively. We also obtained numerous potential interactions for Bruton's tyrosine kinase inhibitors that are in clinical development for MS, such as evobrutinib (n = 434 DDIs). Food sources most often related to DFIs were corn (n = 5456 DFIs) and cow's milk (n = 4243 DFIs). We demonstrate that deep learning techniques can exploit chemical structure similarity to accurately predict DDIs and DFIs in patients with MS. Our study specifies drug pairs that potentially interact, suggests mechanisms causing adverse drug effects, informs about whether interacting drugs can be replaced with alternative drugs to avoid critical DDIs and provides dietary recommendations for MS patients who are taking certain drugs.

Effectiveness of teriflunomide on No Evidence of Disease Activity and cognition in relapsing remitting multiple sclerosis: results of the NEDA3PLUS study

BACKGROUND

Cognitive impairment (CI) is a prevalent and debilitating manifestation of multiple sclerosis (MS); however, it is not included in the widely used concept of No Evidence of Disease Activity (NEDA-3). We expanded the NEDA-3 concept to NEDA-3 + by encompassing CI assessed through the Symbol Digit Modality Test (SDMT) and evaluated the effect of teriflunomide on NEDA3 + in patients treated in a real-world setting. The value of NEDA-3 + in predicting disability progression was also assessed.

METHODS

This 96-weeks observational study enrolled patients already on treatment with teriflunomide for ≥ 24 weeks. The predictiveness of NEDA-3 and NEDA-3 + at 48 weeks on the change in motor disability at 96 weeks was compared through a two-sided McNemar test.

RESULTS

The full analysis set (n = 128; 38% treatment naïve) featured relatively low level of disability (baseline EDSS = 1.97 ± 1.33). NEDA-3 and NEDA-3 + statuses were achieved by 82.8% and 64.8% of patients, respectively at 48 weeks vs. baseline, and by 57.0% and 49.2% of patients, respectively at 96 weeks vs. baseline. All patients except one were free of disability progression at Week 96, and NEDA-3 and NEDA-3 + were equally predictive. Most patients were free of relapse (87.5%), disability progression (94.5%) and new MRI activity (67.2%) comparing 96 weeks with baseline. SDMT scores were stable in patients with baseline score ˃35 and improved significantly in those with baseline score ≤ 35. Treatment persistence was high (81.0% at Week 96).

CONCLUSION

Teriflunomide confirmed its real-world efficacy and was found to have a potentially beneficial effect on cognition.

Teriflunomide-Induced Palmoplantar Pustular Psoriasis: Case Report and Review of the Literature

Teriflunomide is a once-daily oral immunomodulatory disease-modifying treatment for multiple sclerosis (MS). Skin reactions are an infrequent side effect of teriflunomide. Here, we present the case of a 52-year-old female patient with ankylosing spondylitis who was consulted for demyelinating lesions and limb weakness. She was diagnosed with multiple sclerosis and started treatment with teriflunomide. Palmoplantar pustular psoriasis developed after three weeks of treatment initiation. It is a rare side effect related to teriflunomide.

Effectiveness and safety of switching to teriflunomide in older patients with relapsing multiple sclerosis: A real-world retrospective multicenter analysis

BACKGROUND

The prevalence of multiple sclerosis (MS) in older people is increasing due to population aging and availability of effective disease-modifying therapies (DMTs). Treating older people with MS is complicated by age-related and MS-related comorbidities, immunologic effects of prior DMTs, and immunosenescence. Teriflunomide is a once-daily oral immunomodulator that has demonstrated efficacy and acceptable safety in clinical trials of adults with relapsing forms of MS (RMS). However, there are limited clinical trial and real-world data regarding teriflunomide use in people with MS aged >55 years. We analyzed real-world data to assess the effectiveness and safety of teriflunomide in older people with RMS who had switched to this agent from other DMTs.

METHODS

People with RMS (relapsing remitting and active secondary progressive MS) aged ≥55 years who had switched from other DMTs to teriflunomide (7 mg or 14 mg) for ≥1 year were identified retrospectively by chart review at four sites in the United States. Data were extracted from medical records from 1 year pre-index to 2 years post-index (index defined as the teriflunomide start date). Assessments of effectiveness included annualized relapse rate (ARR), Expanded Disability Status Scale (EDSS) score, and magnetic resonance imaging (MRI) outcomes. Assessments of safety included lymphocyte counts, infections, and malignancies. We examined the effectiveness outcomes and lymphocyte counts within sub-groups defined by age (55-64, ≥65 years), sex, MS type, and prior route of DMT administration (oral, injectable, infusible).

RESULTS

In total, 182 patients with RMS aged ≥55 years who switched from other DMTs to teriflunomide were identified (mean [SD] age: 62.5 [5.4] years). Mean ARR decreased from the start of teriflunomide treatment (mean [SD]: 0.43 [0.61]) to year 1 post-index (0.13 [0.65]) and year 2 post-index (0.05 [0.28]). Mean EDSS score remained unchanged from index (mean [SD]: 4.5 [1.8]) to 1 year post-treatment (4.5 [1.8]) and increased slightly at 2 years post-treatment (4.7 [1.7]). MRI scans from index and years 1 and 2 post-index compared with scans from the previous year indicated that most patients had stable or improved MRI outcomes at index (87.7%) and remained stable or improved at years 1 (96.0%) and 2 (93.6%). Lymphopenia decreased at years 1 (21.4%) and 2 post-index (14.8%, compared to index (23.5%). By 1 year post-index, fewer patients had grade 3 or 4 lymphopenia, and at 2 years post-index, there were no patients with grade 3 or 4 lymphopenia. Infection incidence was low (n = 40, 22.0%) and none were related to teriflunomide. The decreases in lymphopenia were driven by decreases among people who switched from a prior oral DMT; there were no notable differences in lymphopenia across the other sub-groups examined. ARR, EDSS score, and MRI outcomes across all sub-groups were similar to the results of the overall population.

CONCLUSION

Our multicenter, longitudinal, retrospective study demonstrated that patients with RMS aged 55 or older switching to teriflunomide from other DMTs had significantly improved ARR, stable disability, and stable or improved MRI over up to 2 years' follow up. Safety results were acceptable with fewer patients exhibiting lymphopenia at years 1 and 2 post-index.

Treatment Courses of Patients Newly Diagnosed with Multiple Sclerosis in 2012-2018

Treatment options for multiple sclerosis (MS) are now numerous, but it is unclear which Disease-Modifying Treatment (DMT) is the optimal choice for a given patient. Treatment switches are common, both because of side effects and because of lack of efficacy. There are few data available on the treatment courses of patients newly diagnosed with MS in the current DMT era. All patients newly diagnosed with MS in 2012-2018 at North Karelia Central Hospital were identified (N = 55), and those with complete follow-up data available (N = 43) were included. The minimum follow-up from diagnosis was 44 months with a maximum of 9 years. Seven patients (16%) had no DMT at any time during the follow-up. Treatment was most often initiated with interferon or glatiramer acetate (69%), but 72% of these treatments were discontinued. After cladribine, teriflunomide and fingolimod showed the best treatment persistence. Patients who experienced their first MS symptoms at ≥40 years of age all continued with their initial treatment category until the end of the follow-up. In a third of the patients who had received a DMT, at the end of the follow-up, the treatment had been escalated to fingolimod, cladribine or natalizumab. Only 13 patients (28%) continued with their initial DMT until the end of the follow-up.

Teriflunomide treatment outcomes in multiple sclerosis: A Portuguese real-life experience

Teriflunomide is an oral disease-modifying therapy for relapsing-remitting multiple sclerosis patients. A decline in physical and cognitive functions, which negatively impacts their quality of life (QoL), is observed in relapsing-remitting multiple sclerosis patients. The aim of this study was to characterise adult Portuguese relapsing-remitting multiple sclerosis patients treated with teriflunomide in routine clinical practice concerning their quality of life, comorbidities, treatment effectiveness, satisfaction, compliance and safety. TeriLIVE-QoL was a multicentre, non-interventional, prospective cohort study that collected demographic and clinical characteristics, patient-reported outcomes and adverse events from patients treated with teriflunomide of 14 mg over 2 years. Notably, around 18 months of this period occurred during the COVID-19 pandemic. Of the 99 participants, 25% were treatment-naïve. Annualised relapse rate and the score for the Hospital Anxiety and Depression Scale decreased after 1 (p = 0.01) and 2 years of treatment (p < 0.001), respectively. Convenience (p = 0.001), effectiveness (p = 0.002) and global satisfaction scores (p < 0.001) presented high values (up to 95.6) and continued to improve along the study. Treatment persistence was 77%, and compliance reached 82% 2 years after initiation. Three patients experienced serious adverse events. TeriLIVE-QoL provides real-world evidence of clinical effectiveness, high treatment satisfaction, consistent safety and improved psychiatric outcomes, associated with elevated treatment persistence and compliance in patients treated with teriflunomide.iance reached 82% 2 years after initiation. Three patients experienced serious adverse events.

Effect of teriflunomide on Epstein-Barr virus shedding in relapsing-remitting multiple sclerosis patients: Outcomes from a real-world pilot cohort study

BACKGROUND

Given its potential antiviral activity, we investigated the effect of teriflunomide on EBV in patients with relapsing-remitting MS (RRMS).

METHODS

Saliva samples were collected at home and analysed for EBV DNA presence in patients with RRMS treated with teriflunomide for ≥3 months.

RESULTS

The proportion of patients with detectable EBV in the teriflunomide cohort was lower than in the reference cohorts. The proportion of samples with EBV DNA or shedding from teriflunomide-treated patients was reduced relative to each reference cohort (P<0.0001; >5.8 virus copies/µL cut-off).

CONCLUSION

This pilot study demonstrated the feasibility of at-home saliva sample collection and revealed a possible effect of teriflunomide on EBV shedding.

Real-World Assessment of Quality of Life in Patients with Relapsing Remitting Multiple Sclerosis Treated with Teriflunomide for Two Years: Patient-Reported Outcomes from the AURELIO Study in Greece

Introduction

Multiple sclerosis (MS) is a highly heterogeneous inflammatory disease of the central nervous system. Patient-reported outcomes (PROs) in a real-world clinical setting can provide detailed information about MS from the patient's perspective. PROs were used here to assess quality of life (QoL), treatment satisfaction, clinical efficacy, and safety outcomes in a Greek cohort of relapsing remitting MS (RRMS) patients treated with oral teriflunomide (14 mg/day).

Methods

AURELIO was a 2-year, prospective, observational study whose QoL primary endpoint was assessed with the Multiple Sclerosis Impact Scale (MSIS-29). Secondary endpoints included analyses of Patient Determined Disease Steps (PDDS), Treatment Satisfaction Questionnaire for Medication (TSQM), Expanded Disability Status Scale (EDSS), annualized relapse rate (ARR), adherence, and safety outcomes.

Results

AURELIO enrolled 282 patients (62.8% female; mean age 44.8 [SD ± 11] years; EDSS 2.0 [SD ± 1.6]; 44.6% treatment-naïve), with 212 patients (75%) remaining on treatment at study end. MSIS-29 total scores remained stable, while the MSIS-29 psychological scale showed significant improvement (p = 0.0015) at 2 years vs. baseline. TSQM scores at 2 years showed significant improvements in effectiveness (+ 6.6, p = 0.0001), convenience (+ 1.9, p = 0.0256), and global satisfaction (+ 8.1, p = 0.0001) vs. baseline. Disease progression was stable as indicated by non-significant changes in PDDS and EDSS vs. baseline. The ARR was low at 0.065, with a slightly higher ARR in previously treated (0.070) vs. naïve patients (0.058). Adherence was high at > 90%. Overall, 91 patients (32.3%) in the study reported a total of 215 safety events (32 serious, of which 21 were classified as mild–moderate). No new safety signals were observed.

Conclusions

These data highlight the importance of PROs to facilitate personalized treatment strategies in MS. In line with other teriflunomide studies, AURELIO showed stable QoL, efficacy and safety outcomes, and good treatment satisfaction both in treatment-naïve and previously treated patients in this Greek cohort of patients with RRMS.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40120-022-00384-2.

New drugs for multiple sclerosis: new treatment algorithms

PURPOSE OF REVIEW

To discuss recent changes in the multiple sclerosis (MS) treatment algorithm and to present therapies currently in MS clinical trials.

RECENT FINDINGS

High efficacy disease modifying therapies are optimally beneficial when used in the early, inflammatory phase of MS. Bruton's tyrosine kinase has emerged as an important therapeutic target for both relapsing and progressive forms of MS. Multiple therapies targeting remyelination failed to provide conclusive evidence of broad therapeutic benefit; however, more targeted approaches offer hope that myelin repair might be achieved resulting in specific clinical improvements. Strategies targeting chronic Epstein-Barr virus infection and dysbiosis of the gut microbiome are the first to link microbial risk factors for MS and therapeutic interventions.

SUMMARY

A striking number of diverse treatments under investigation bodes well for development of better and more effective therapies in MS.

Real-World Evidence for Favourable Quality-of-Life Outcomes in Hungarian Patients with Relapsing-Remitting Multiple Sclerosis Treated for Two Years with Oral Teriflunomide: Results of the Teri-REAL Study

Relapsing-remitting multiple sclerosis (RRMS) is a degenerative, inflammatory disease of the central nervous system in which symptoms and disability progression vary significantly among patients. Teri-REAL was a prospective, real-world observational study that examined quality-of-life (QoL) and treatment outcomes in a Hungarian cohort of RRMS patients treated with once-daily oral teriflunomide. QoL was assessed at baseline, 12, and 24 months with the Multiple Sclerosis Quality of Life-54 (MSQoL-54) questionnaire. Other measurements included disease progression (Patient Determined Disease Steps [PDDS]), clinical efficacy (relapses), fatigue (Fatigue Impact Scale [FIS]), depression (Beck Depression Inventory [BDI]), cognition (Brief International Cognitive Assessment in MS [BICAMS]), persistence and safety. 212 patients were enrolled (69.1% female, 50.5% treatment naïve), with 146 (69%) completing the study. Statistically significant improvements in subscales of the MSQoL-54 versus baseline were found at Month 12 and Month 24. Significant improvements were also observed for individual components of the BICAMS score at 24 months, while PDDS, FIS and BDI scores remained stable. The mean annualised relapse rate was 0.08 ± 0.32. There were 93 safety events, most of which were mild to moderate. Improved QoL and cognitive outcomes in teriflunomide-treated patients over 2 years offer a unique perspective to this real-world study.

Multiple Sclerosis: Therapeutic Strategies on the Horizon

Multiple sclerosis (MS) is a chronic disease affecting the brain and the spinal cord. It is a chronic inflammatory demyelinating disease of the central nervous system. It is the leading cause of non-traumatic disability in young adults. The clinical course of the disease is quite variable, ranging from stable chronic disease to rapidly evolving debilitating disease. The pathogenesis of MS is not fully understood. Still, there has been a rapid shift in understanding the immune pathology of MS away from pure T cell-mediated disease to B cells and microglia/astrocytes having a vital role in the pathogenesis of MS. This has helped in the emergence of new therapies for management. Effective treatment of MS requires a multidisciplinary approach to manage acute attacks, prevent relapses and disease progression and treat the disabling symptoms associated with the disease. In this review, we discuss the pathogenesis of MS, management of acute relapses, disease-modifying therapies in MS, new drugs and drugs currently in trial for MS and the symptomatic treatment of MS.  All language search was conducted on Google Scholar, PubMed, MEDLINE, and Embase till February 2022. The following search strings and medical subheadings (MeSH) were used: "Multiple Sclerosis", "Pathogenesis of MS", and "Disease-modifying therapies in MS". We explored literature on the pathogenic mechanisms behind MS, management of acute relapses, disease-modifying therapies in MS and symptomatic management.

Real-world outcomes of teriflunomide in relapsing–remitting multiple sclerosis: a prospective cohort study

Objectives

To explore efficacy, risk factors, safety, and persistence of teriflunomide in relapsing–remitting multiple sclerosis (RRMS) cohort.

Methods

This prospective, observational cohort study included 217 consecutive teriflunomide treated RRMS patients, 192 of which with at least 3-month persistence on teriflunomide were included in effectiveness and risk factor analyses. Multivariate Cox proportional regression analysis was performed to identify factors associated with failure of no evidence of disease activity (NEDA) 3.

Results

At baseline 82% patients were treatment naïve while 18.0% interferon-β1b treated patients had stopped treatments for more than 1 year. After treatment, 79.0% patients achieved NEDA 3 at 12-month, mean annualized relapse rate (ARR) reduced significantly (0.79 ± 0.80 vs 0.16 ± 0.70; P < 0.001), and mean expanded disability status score (EDSS) remained stable (1.40 ± 1.67 vs 1.56 ± 1.88; P > 0.05). Male sex (hazard ratio [HR] 1.856; 95% confidence interval [CI] 1.118–3.082, P < 0.05), baseline EDSS score ≥ 4 (HR 2.682; 95% CI 1.375–5.231, P < 0.01), and frequent relapses before treatment (HR 3.056; 95% CI 1.737–5.377, P < 0.01) were independent factors significantly associated with failure of NEDA 3. The most frequent adverse events (AEs) were hair thinning, alanine aminotransferase (ALT) elevation, and leukopenia, the latter two most commonly lead to teriflunomide discontinuation during the first 3 months. Persistence rates at 6, 12, and 24 months after teriflunomide initiation were 86.9%, 72.4%, and 52.8%, respectively.

Conclusions

Our results support efficacy and tolerability of teriflunomide for treatment-naïve RRMS patients in real-world practice. Female patients, patients with less relapses and less disability before treatment are most likely to benefit from teriflunomide treatment.

Treatment of multiple sclerosis in children: A brief overview

Multiple sclerosis (MS) is the most common autoimmune, chronic inflammatory demyelinating disorder of the central nervous system. Pediatric-onset MS (POMS), as opposed to adult-onset MS (AOMS), is a rare condition, presenting similar clinical features to AOMS, but a more active course of the disease, with higher relapse rates and greater white and grey matter damage. To date, the therapeutic approaches to treat POMS have been extrapolated from observational studies and data from trials conducted on adults, raising concerns about their efficacy and safety in the pediatric population. Herein, we discuss the most common therapeutic strategies used in POMS management, basing on the individual clinical practice and experience.