Pharmaceutical Companies, Pharmacology / 14.02.2025

Although each rare disease is uncommon on its own, together, they represent a major global health challenge. With over 7,000 known rare diseases, the global impact is substantial. Currently, around 300 million people worldwide are living with a rare disease.  Unlike more prevalent conditions, rare diseases often receive less research funding, making drug development a lengthy and challenging process. However, recent advancements in antibody drug discovery are transforming this landscape, offering new hope to millions of patients. Antibody drug discovery is an advanced biotechnology field that utilizes the immune system to develop precise treatments. Scientists identify and isolate specific antibodies capable of binding to disease-causing targets. This approach enables the creation of drugs that directly address the root cause of rare diseases, ensuring more effective and personalized therapies. In this article, we will explore the transformative impact of antibody drug discovery on rare disease research. 

Precision Targeting for Effective Treatment

A key advantage of antibody-based therapies is their ability to achieve precision targeting, which is essential for treating rare diseases. Since many rare diseases stem from genetic mutations or protein dysregulation, they are well-suited for highly specific and targeted interventions.  Antibodies can be designed to target disease-causing molecules like misfolded proteins, overactive receptors, or harmful cells while preserving healthy tissues. This precision improves treatment effectiveness and minimizes side effects, which is essential for patients with complex or fragile health conditions. To harness this potential, researchers are increasingly relying on advanced antibody discovery services. These services employ advanced technologies like phage display, single B-cell screening, and AI modeling to identify and refine high-affinity, specific antibodies for rare diseases. Partnering with specialized antibody discovery services helps researchers fast-track tailored therapies, offering hope to patients with untreatable conditions. This collaborative approach is revolutionizing rare disease research, leading to innovative treatments that target the root causes of complex disorders. Alloy Therapeutics recommends collaborating with an expert team to develop ranked bispecific candidates tailored to specific targets. Their comprehensive approach combines advanced technologies with proprietary workflows. This ensures the delivery of precise, high-quality bispecific leads for effective therapeutic development. (more…)
Author Interviews, Genetic Research / 21.03.2023

MedicalResearch.com Interview with: Ernest Turro, PhD Associate Professor Genetics and Genomics Sciences The Turro group runs a research program on statistical genomics, with a dual focus on rare diseases and blood-related traits at the Icahn School of Medicine Mount Sinai Health System   MedicalResearch.com: What is the background for this study? Would you describe the Rareservoir database? Response:   The main motivation for our work is that only half of the approximately 10,000 catalogued rare diseases have a resolved genetic cause (or aetiology). Patients with these diseases are unable to obtain a genetic diagnosis which could otherwise inform prognosis, treatment for themselves and affected relatives. One route towards resolving the remaining aetiologies is to enroll large numbers of rare disease patients into research studies so that statistical analyses can be performed comparing the genetic with the clinical characteristics of the study participants. One major endeavour, the 100,000 Genomes Project (100KGP), sequenced the genomes and collected clinical phenotype data for 34,523 UK patients and 43,016 unaffected relatives across 29,741 families. The scale of this study is unprecedented, partly thanks to the ever-decreasing cost of DNA sequencing (25 years ago, it cost $1bn to sequence a whole genome, while now it costs only a few hundred dollars). Working with such large datasets is notoriously cumbersome. To overcome this, we developed a computational approach (the Rareservoir) that distills the most important information into a relatively small database, allowing us to apply our statistical methods nimbly. We noted that the "genetic variants" that cause rare diseases are typically kept rare in the human population by natural selection because affected individuals tend to have few children, if any. This meant that we could discard the genetic information corresponding to variants that are common in the human population without throwing away the key disease-causing variants. By focussing on these "rare variants", we were able to perform our analyses using a small database (a `Rareservoir’), only 5.5GB in size, hastening our progress significantly. (more…)