Exploring the role of immunotherapeutic drugs in autoimmune diseases: A comprehensive review

Pharmacokinetic comparison of subcutaneously administered CT-P13 (biosimilar of infliximab) via autoinjector and pre-filled syringe in healthy participants

CT-P13, a biosimilar of infliximab, is used to treat inflammatory diseases that arise from immune system complications, resulting in excessive and persistent inflammation. The subcutaneous (SC) formulation of CT-P13 overcomes the drawback of prolonged administration associated with the intravenous (IV) infliximab biosimilar, necessitating autoinjector (AI) administration. This randomized, open-label, two-arm, parallel-group, single-dose clinical pharmacology study aimed to evaluate the pharmacokinetics (PK) and safety of CT-P13 SC administration via AI compared with the existing pre-filled syringe (PFS) method. A total of 147 healthy participants were randomized into two groups, of which 139 completed the study. Blood samples were collected from before CT-P13 SC administration to 2016 h after the start of the administration. Serum concentrations were analyzed using the Meso Scale Discovery electrochemiluminescence method. Geometric mean ratios (90% confidence interval) of the AUCinf (areas under the concentration-time curve from zero to infinity) and Cmax (The maximum serum concentration) for CT-P13 SC AI versus CT-P13 SC PFS groups, were 94.15% (85.02%-104.26%), 92.48% (84.66%-101.01%), respectively. CT-P13 SC AI and CT-P13 SC PFS achieved comparable PK because the 90% CI was within the predefined equivalence margin. At the end of the study, immunogenicity results revealed that 70 (97.22%) and 73 (98.65%) participants tested positive for anti-drug antibody (ADA) in the CT-P13 SC AI and CT-P13 SC PFS groups, respectively. They were tested positive for neutralizing antibodies. No other significant safety differences were observed between the treatment groups. In conclusion, both administrations demonstrated PK equivalence and were both safe and well-tolerated.

Integrated physiotherapy approach for susac syndrome: A comprehensive case study

INTRODUCTION

Susac's syndrome is a rare autoimmune disorder characterised by a triad of encephalopathy (brain dysfunction), branch retinal artery occlusion (loss of vision) and sensorineural hearing loss. This study presents the case of a patient undergoing intensive physiotherapy intervention following an injury, focusing on assessments such as volume and range of motion measurements, manual muscle tests, and pain intensity evaluations using various scales.

CASE DESCRIPTION

The patient, aged 17, initially presented with severe limitations in mobility, diagnosed with Susac syndrome. Requiring assistance to walk even short distances due to fear and insecurity. Through a structured physiotherapy program spanning several months, various assessments were conducted, including manual muscle tests and circumference measurements. Significant improvements were observed for muscle function, upper and lower limb circumferences, and performance in mobility tests.

OUTCOME

After 12 weeks of intensive therapy with a follow up for 4 months, progress was observed. Measurements of volume and range of motion, manual muscle test (MMT), Timed Up and Go test (TUG) and VAS scale were used as outcome variables. The patient transitioned from relying heavily on assistance for mobility to walking independently for 100 m. Muscle strength and endurance significantly improved, as evidenced by higher grades in manual muscle tests and reduced completion times in mobility assessments.

DISCUSSION

The presented case exemplifies the effectiveness of intensive physiotherapy intervention in improving mobility and functional outcomes in a patient with Susac Syndrome, a rare autoimmune disorder characterized by neurological manifestations. Despite the non-traumatic nature of the condition, Susac Syndrome poses significant challenges to mobility and quality of life due to its impact on the microvasculature of the brain, retina, and inner ear. The structured rehabilitation program, supported by comprehensive assessments including manual muscle tests and circumference evaluations, facilitated targeted interventions.

CONCLUSION

The observed improvements underscore the importance of tailored rehabilitation approaches in promoting recovery and independence in individuals with complex neurological conditions like Susac Syndrome. Further research is warranted to explore optimal rehabilitation strategies and long-term outcomes in this patient population.

Artificial intelligence-driven drug development against autoimmune diseases

Artificial intelligence (AI)-based predictive models are being used to foster a precision medicine approach to treat complex chronic diseases such as autoimmune and autoinflammatory disorders (AIIDs). In the past few years the first models of systemic lupus erythematosus (SLE), primary Sjögren syndrome (pSS), and rheumatoid arthritis (RA) have been produced by molecular profiling of patients using omic technologies and integrating the data with AI. These advances have confirmed a complex pathophysiology involving multiple proinflammatory pathways and also provide evidence for shared molecular dysregulation across different AIIDs. I discuss how models are used to stratify patients, assess causality in pathophysiology, design drug candidates in silico, and predict drug efficacy in virtual patients. By relating individual patient characteristics to the predicted properties of millions of drug candidates, these models can improve the management of AIIDs through more personalized treatments.

Extracellular vesicles and their cells of origin: Open issues in autoimmune diseases

The conventional therapeutic approaches to treat autoimmune diseases through suppressing the immune system, such as steroidal and non-steroidal anti-inflammatory drugs, are not adequately practical. Moreover, these regimens are associated with considerable complications. Designing tolerogenic therapeutic strategies based on stem cells, immune cells, and their extracellular vesicles (EVs) seems to open a promising path to managing autoimmune diseases' vast burden. Mesenchymal stem/stromal cells (MSCs), dendritic cells, and regulatory T cells (Tregs) are the main cell types applied to restore a tolerogenic immune status; MSCs play a more beneficial role due to their amenable properties and extensive cross-talks with different immune cells. With existing concerns about the employment of cells, new cell-free therapeutic paradigms, such as EV-based therapies, are gaining attention in this field. Additionally, EVs' unique properties have made them to be known as smart immunomodulators and are considered as a potential substitute for cell therapy. This review provides an overview of the advantages and disadvantages of cell-based and EV-based methods for treating autoimmune diseases. The study also presents an outlook on the future of EVs to be implemented in clinics for autoimmune patients.

Markers of Neuroinflammation in the Serum of Prepubertal Children with Fetal Alcohol Spectrum Disorders

BACKGROUND

Fetal Alcohol Spectrum Disorders (FASD) are the manifestation of the damage caused by alcohol consumption during pregnancy. Children with Fetal Alcohol Syndrome (FAS), the extreme FASD manifestation, show both facial dysmorphology and mental retardation. Alcohol consumed during gestational age prejudices brain development by reducing, among others, the synthesis and release of neurotrophic factors and neuroinflammatory markers. Alcohol drinking also induces oxidative stress.

HYPOTHESIS/OBJECTIVE

The present study aimed to investigate the potential association between neurotrophins, neuroinflammation, and oxidative stress in 12 prepubertal male and female FASD children diagnosed as FAS or partial FAS (pFAS).

METHODS

Accordingly, we analyzed, in the serum, the level of BDNF and NGF and the oxidative stress, as Free Oxygen Radicals Test (FORT) and Free Oxygen Radicals Defense (FORD). Moreover, serum levels of inflammatory mediators (IL-1α, IL-2, IL-6, IL-10, IL-12, MCP-1, TGF-β, and TNF-α) involved in neuroinflammatory and oxidative processes have been investigated.

RESULTS

We demonstrated low serum levels of NGF and BDNF in pre-pubertal FASD children with respect to healthy controls. These changes were associated with higher serum presence of TNF- α and IL-1α. Quite interestingly, an elevation in the FORD was also found despite normal FORT levels. Moreover, we found a potentiation of IL-1α, IL-2, IL-10, and IL-1α1 in the analyzed female compared to male children.

CONCLUSION

The present investigation shows an imbalance in the peripheral neuroimmune pathways that could be used in children as early biomarkers of the deficits observed in FASD.

Model-based computational precision medicine to develop combination therapies for autoimmune diseases

INTRODUCTION

The complex pathophysiology of autoimmune diseases (AIDs) is being progressively deciphered, providing evidence for a multiplicity of pro-inflammatory pathways underlying heterogeneous clinical phenotypes and disease evolution.

AREAS COVERED

Treatment strategies involving drug combinations are emerging as a preferred option to achieve remission in a vast majority of patients affected by systemic AIDs. The design of appropriate drug combinations can benefit from AID modeling following a comprehensive multi-omics molecular profiling of patients combined with Artificial Intelligence (AI)-powered computational analyses. Such disease models support patient stratification in homogeneous subgroups, shed light on dysregulated pro-inflammatory pathways and yield hypotheses regarding potential therapeutic targets and candidate biomarkers to stratify and monitor patients during treatment. AID models inform the rational design of combination therapies interfering with independent pro-inflammatory pathways related to either one of five prominent immune compartments contributing to the pathophysiology of AIDs, i.e. pro-inflammatory signals originating from tissues, innate immune mechanisms, T lymphocyte activation, autoantibodies and B cell activation, as well as soluble mediators involved in immune cross-talk.

EXPERT OPINION

The optimal management of AIDs in the future will rely upon rationally designed combination therapies, as a modality of a model-based Computational Precision Medicine taking into account the patients' biological and clinical specificities.