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http://dx.doi.org/10.1385/1-59259-334-8:81 | DOI Listing |
COPD
December 2025
Division of Respirology, Department of Medicine, McMaster University, Hamilton, ON, Canada.
Background: Despite limited breakthroughs in COPD pharmacotherapy, recent trials have shown promising results for biologics in COPD patients. However, robust evidence synthesis in this area is currently lacking.
Methods: We conducted a systematic review of MEDLINE, EMBASE, and Cochrane CENTRAL from inception to July 17, 2024, to identify randomized trials of biologic medications in patients with COPD.
Immunohorizons
January 2025
Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
C3 glomerulopathy (C3G), a rare kidney disease caused by dysregulation of alternative pathway complement activation, is characterized by glomerular C3 deposition, proteinuria, crescentic glomerulonephritis, and renal failure. The anti-C5 monoclonal antibody (mAb) drug eculizumab has shown therapeutic effects in some but not all patients with C3G, and no approved therapy is currently available. Here, we developed and used a triple transgenic mouse model of fast progressing lethal C3G (FHm/mP-/-hFDKI/KI) to compare the therapeutic efficacy of a bifunctional anti-C5 mAb fused to a functional factor H (FH) fragment (short consensus repeat 1-5 [SCR1-5]) and the anti-C5 mAb itself.
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).
View Article and Find Full Text PDFNan Fang Yi Ke Da Xue Xue Bao
January 2025
School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China.
With advances of drug design and preparation technology, the development of long-acting drugs has become an important research focus in precision medicine and chronic disease management. These drugs are designed to improve the patients' compliance and quality of life by achieving prolonged maintenance of an effective drug concentration in the body with a reduced dosing frequency. Small molecule drugs, monoclonal antibodies and nucleic acid drugs all have their own difficulties in achieving long actions, which can be especially challenging for the latter two because of their structural complexity.
View Article and Find Full Text PDFCochrane Database Syst Rev
January 2025
Saúde Baseada em Evidências, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
Background: Glioblastoma multiforme (GBM) is the most common and aggressive adult glioma (16-month median survival). Its immunosuppressive microenvironment limits the efficacy of immune checkpoint inhibitors (ICIs).
Objectives: To assess the effects of the ICIs antibodies anti-programmed cell death 1 (anti-PD-1) and anti-programmed cell death ligand 1 (anti-PD-L1) in treating adults with diffuse glioma.
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