Autoimmune Diseases, Immunotherapy, Personalized Medicine, Rheumatology / 13.02.2026
Advances in Personalized Medicine for Addressing Autoimmune Disorders
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Pexels[/caption]
Pexels[/caption]
Innovative approaches to tailored healthcare are revolutionizing the diagnosis and treatment of autoimmune disorders. Rather than relying on uniform treatment strategies, clinicians now tailor therapies to each patient’s unique biological profile. Genetic makeup, immune system behavior, and lifestyle factors all influence disease expression and response to care.
This approach is especially important for conditions like rheumatoid arthritis, lupus, and multiple sclerosis, where variability is significant. Integrating genomics and biomarker analysis improves diagnostic accuracy and treatment selection. Together, these innovations enable more precise interventions, better outcomes, and fewer adverse effects for patients.
In this article, we will explore innovations shaping highly targeted, patient-centered autoimmune care.
Dr. Yu Mengge[/caption]
Dr Yu Mengge
Research Fellow, Cancer & Stem Cell Biology Signature Research Programme
Duke-NUS Medical School
MedicalResearch.com: What is the background for this study?
Response: The background of this study is rooted in the observation that certain genetic variations among East Asian populations, notably the BIM deletion polymorphism (BDP), impact treatment outcomes in chronic myeloid leukaemia (CML).
Patients with the BDP show resistance to conventional treatments, specifically tyrosine kinase inhibitors like imatinib. This resistance stems from the variant's role in promoting cancer cell survival, which leads to more aggressive disease progression.
Key Takeaways
Dr. Sundström[/caption]
Johan Sundström, MD, PhD
Professor of Epidemiology at Uppsala University
Professorial Fellow at The George Institute for Global Health
Cardiologist at Uppsala University Hospital
MedicalResearch.com: What is the background for this study?
Response: High blood pressure, hypertension, is a growing global health challenge. Over the last 30 years, the number of people with hypertension has doubled, and it is estimated that around a third of adults aged 30-79 have the condition - a total of 1.28 billion people worldwide. Untreated hypertension can lead to kidney disease, heart disease, and stroke, accounting for 11.3 million deaths in 2021 alone. A small minority get their blood pressure under control with drug therapy, and some studies indicate that as little as half are taking their blood pressure medications as intended. Is this because the drugs' effectiveness and side effects differ between different individuals? If so, there would be a substantial risk that patients will not get their optimal medication on the first try, with poor blood pressure lowering and unnecessary side effects as a result.
In a new clinical trial in Sweden, it was studied whether there is an optimal blood pressure medication for each person, and thus a potential for personalized blood pressure treatment. In the study, 280 people with high blood pressure tried out four different blood pressure drugs on several different occasions over a total of one year.
Dr. Mosley[/caption]
Jonathan Mosley, MD, PhD
Associate Professor
Division of Clinical Pharmacology
Departments of Internal Medicine and Biomedical Informatics
Vanderbilt University Medical Center
MedicalResearch.com: What is the background for this study?
Response: Prostate cancer is an important source of morbidity and mortality among men. Earlier detection of disease is essential to reduce these adverse outcomes. Prostate cancer is heritable, and many single nucleotide polymorphisms (SNPs) associated with disease risk have been identified. Thus, there is considerable interest in using tools such as polygenic risk scores, which measure the burden of genetic risk variants an individual carries, to identify men at elevated risk of disease.
Dr. Hänggi[/caption]
MedicalResearch.com: What is the background for this study?
Response: Anti-MAG neuropathy is a rare form of acquired demyelinating neuropathy. The disease onset normally presents after the age of 50 years and is 2.7 times more frequent in men than in women, with a prevalence of about 1 in 100,000. It is caused by the production of monoclonal anti-MAG IgM antibodies that recognize the HNK-1 epitope. The myelin-associated glycoprotein MAG is a mediator for the formation and maintenance of the myelin sheaths. There is strong evidence that the binding and deposition of anti-MAG IgM autoantibodies on myelin sheath is responsible for the demyelination, which clinically manifests itself as a peripheral neuropathy affecting primarily sensory nerves. However, the causes and the exact mechanisms behind the expansion of anti-MAG IgM producing B-cell and plasma cell clones are not fully understood.
Most off-label treatments aim to reduce pathogenic autoantibody titers by depleting autoantibody-producing B cell clones which interfere with antibody-effector mechanisms, or physically remove autoantibodies from the circulation. Most frequently, the anti-CD20 monoclonal antibody rituximab is used to treat anti-MAG neuropathy patients. However, all of these treatment options often lack of selectivity, efficiency, or can induce severe adverse effects in some patients.
Polyneuron has designed PN-1007 to highly selectively target the IgM autoantibodies that cause anti-MAG neuropathy. PN-1007 is a glycopolymer that mimics the natural HNK-1 carbohydrate epitope found on myelin of peripheral nerves and binds to the circulating disease-causing antibodies. By eliminating these pathogenic antibodies, PN-1007 may protect the integrity of the neuronal myelin sheaths of anti-MAG neuropathy patients.
Dr. Peter Ganz[/caption]
Peter Ganz, MD
Chief, Division of Cardiology
Director, Center of Excellence in Vascular Research
Zuckerberg San Francisco General Hospital
Maurice Eliaser Distinguished Professor of Medicine
University of California, San Francisco
MedicalResearch.com: What is the background for this study? What are the main findings?
Dr. Ganz: The research described in the JAMA paper involved measuring 1,130 different proteins in nearly 2000 individuals with apparently stable coronary heart disease, who were followed up to 11 years. Initially, two hundred different proteins were identified whose blood levels could be related to the risk of heart attacks, strokes, heart failure and death, and ultimately a combination of nine proteins was selected for a risk prediction model, based on their combined accuracy and sensitivity.
Application of these findings to samples of patients with stable coronary heart disease demonstrated that some of those who were deemed clinically stable instead had a high risk of adverse cardiovascular outcomes, while other patients with the same clinical diagnosis had a very low risk. Thus, individuals who all carried the same clinical diagnosis of stable coronary heart disease had a risk of an adverse cardiovascular event that varied by as much as 10-fold, as revealed by analysis of the levels of the nine proteins in their blood. Given such large differences in risk and outcomes, patients could reasonably opt to be treated differently, depending on their level of risk. We hope that in the future, management of patients with stable angina will at least in part rely on risk assessment based on levels of blood proteins.
