Increasing donor kidney age significantly aggravates the negative effect of pretransplant donor-specific anti-HLA antibodies on kidney graft survival. [PDF]
Betjes MGH+6 more
europepmc +1 more source
De Novo Design of Integrin α5β1 Modulating Proteins to Enhance Biomaterial Properties
NeoNectins are de novo‐designed miniproteins that selectively bind and stabilize the extended open form of integrin α5β1. When grafted onto biomaterials including hydrogel and titanium, they promote cell attachment and spreading in vitro and promoting tissue integration and bone growth in animal models, demonstrating broad potential for regenerative ...
Xinru Wang+25 more
wiley +1 more source
Mixed lymphocyte reaction-conditioned MSC-derived extracellular vesicles enhance graft survival via miR-638-mediated immunoregulation. [PDF]
Ding Y+8 more
europepmc +1 more source
This review highlights the potential of 2D‐2D heterostructures (HRs) in advancing monovalent ion‐based energy storage. It examines their role in tailoring charge interactions mechanisms, optimizing interfacial properties, and overcoming the limitations of individual layered materials.
Neetu Bansal+6 more
wiley +1 more source
Donor History of Drug Use and Graft Survival in Pediatric Heart Transplant Recipients.
Esteso P+6 more
europepmc +1 more source
Evaluating the impact of donor eGFR and HLA-DR mismatch on graft survival in living donor kidney transplants. [PDF]
Budhiraja P+4 more
europepmc +1 more source
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi+4 more
wiley +1 more source
Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models. [PDF]
Mulugeta G+4 more
europepmc +1 more source