Background: Monoclonal antibodies with high efficiency and specificity are one of the best strategies to diagnose and treat a variety of diseases such as cancer, autoimmunity, and inflammatory diseases. The market for monoclonal therapeutic antibodies (MTAs) has grown dramatically in the past decade.
Objective: Given the importance of these issues, developing countries spend a high cost on importing or producing MTAs annually. This study intends to examine the market of monoclonal therapeutic antibodies in Iran and predict the future growth rate of this market using the obtained data.
Methods: Data on the status of MTAs in the country (from 2008 to 2018) were obtained from the Food and Drug Deputy of Mazandaran University of Medical Sciences. The market status of MTAs was studied based on the dosage forms, application, and price. Then, the market outlook was predicted up to year 2025.
Results: The results showed that 58.8% of all MTAs were humanized, and 86% of all antibody-based drugs were used to treat cancer. Sales of MTA-based medications will reach $454 million by 2025 and are projected to grow significantly in the future.
Conclusion: Given the increasing technology of the production of MTAs and their use in targeted therapies worldwide, their consumption market in Iran is expected to grow significantly.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026318 | PMC |
http://dx.doi.org/10.1155/2021/5569590 | DOI Listing |
J Integr Neurosci
January 2025
Department of Ophthalmology, University Hospital of Udine, 33100 Udine, Italy.
The complicated neurological syndrome known as multiple sclerosis (MS) is typified by demyelination, inflammation, and neurodegeneration in the central nervous system (CNS). Managing this crippling illness requires an understanding of the complex interactions between neurophysiological systems, diagnostic techniques, and therapeutic methods. A complex series of processes, including immunological dysregulation, inflammation, and neurodegeneration, are involved in the pathogenesis of MS.
View Article and Find Full Text PDFPharmaceuticals (Basel)
January 2025
Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Canakinumab, a humanized anti-IL-1β monoclonal antibody, is known for its ability to suppress IL-1β-mediated inflammation. However, continuous monitoring of its safety remains essential. Thus, we comprehensively evaluated the safety signals of canakinumab by data mining from FAERS.
View Article and Find Full Text PDFAnimals (Basel)
January 2025
Clinique Vétérinaire des Mazets, 15400 Riom es Montagnes, France.
()-caused calf diarrhoea (scours) is widespread and leads to calf mortality in cattle industries worldwide. A recent discovery of a glycopeptide epitope on the parasite recognized by a monoclonal antibody has led to the development of a new vaccine. It was designed for cows to pass on passive immunity to their neonatal calves.
View Article and Find Full Text PDFBiomedicines
December 2024
National Institute of Biologicals, Ministry of Health & Family Welfare, Govt. of India, A-32, Sector-62, Noida 201309, UP, India.
Trastuzumab is an effective therapeutic intervention for treating HER2-positive breast cancers. The cost-effectiveness, global demand, and patent expiration of trastuzumab have led to the inflow of its biosimilars in the global market. With the rise of biosimilars in the biopharmaceutical market, it has become crucial to ensure that the biosimilar is at par with the original monoclonal antibody (mAb)in terms of efficacy, safety, and quality.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Biotherapeutics Molecule Discovery, Boehringer Ingelheim Pharmaceutical Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States.
Antibody generation requires the use of one or more time-consuming methods, namely animal immunization, and in vitro display technologies. However, the recent availability of large amounts of antibody sequence and structural data in the public domain along with the advent of generative deep learning algorithms raises the possibility of computationally generating novel antibody sequences with desirable developability attributes. Here, we describe a deep learning model for computationally generating libraries of highly human antibody variable regions whose intrinsic physicochemical properties resemble those of the variable regions of the marketed antibody-based biotherapeutics (medicine-likeness).
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