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Updates every hour. Last Updated: 23-Nov-2025 17:11 ET (23-Nov-2025 22:11 GMT/UTC)
Technion study uncovers mechanism of immune system aging and proposes strategy to rejuvenate immune response
Researchers from the Technion – Israel Institute of Technology’s Faculty of Biology have uncovered a unique mechanism driving immune system decline with age and proposed a way to counter it. The study, published in Nature Aging and led by Assistant Professor Noga Ron-Harel and doctoral student David Ezuz, reveals that the spleen’s aging plays a central role in weakening immune function.
The team found that as the spleen ages, it accumulates iron deposits and toxic by-products, creating an oxidative environment that damages T cells — key immune cells responsible for fighting infections and cancer. In response, T cells reduce their iron uptake to protect themselves, but this adaptation inadvertently limits their ability to activate and mount an immune response.
The researchers demonstrated that targeted iron supplementation during T-cell activation can restore immune responsiveness in older mice, significantly improving their reaction to vaccination.
The findings provide a new framework for understanding immune aging and suggest a promising strategy to rejuvenate immune function in older individuals.
The research was supported by the European Research Council (ERC) under the Horizon 2020 program.
Researchers at The University of Osaka developed the Balloon-Assisted Bronchoscope Delivery (BDBD) technique and in a first-in-human clinical trial, the team successfully demonstrated that this technique is both safe and effective, enabling access to lesions smaller than 20 mm. By using a small balloon to gently widen airways, it allows endoscopes to reach deep, peripheral lung tumors, promising more accurate cancer diagnosis and new minimally invasive treatment options.
A research paper by scientists at the City University of Hong Kong proposed a hybrid model-based and online data-driven control method for a tendon-driven continuum robot, which requires no prior dataset collection or training. The method incorporates the Jacobian derived from the piecewise constant curvature model with online Jacobian error compensation using a Kalman filter.
The new research paper, published on Aug. 7 in the journal Cyborg and Bionic Systems, presented an approach eliminates the need for offline dataset collection and training. Experiments conducted on a planar continuum manipulator demonstrate the effectiveness of the proposed method in improving tracking accuracy for both position and attitude. Additionally, the effects of various model parameters are analyzed through comparative experiments.