https://researchdata.se/sv/catalogue Search results sv Oral drug delivery to specific lesions in the gastrointestinal (GI) tract remains a major challenge. The current systems depend on internal physiological triggers such as pH, enzymatic activity, and luminal pressure, which exhibit wide intra- and inter-patient variability. To address this, an ingestible capsule was developed to enable on-demand, site-specific drug release in response to an external alternating magnetic field (AMF), with ultrasound imaging used for real-time localization. The capsule is composed of a low-melting-point wax matrix embedded with superparamagnetic iron oxide nanoparticles (SPIONs), which generate heat upon AMF exposure, resulting in rapid wax melting and burst drug release. SPIONs exhibited no toxicity in zebrafish embryonic development, demonstrating excellent biocompatibility. Capsules were fabricated in a hemispherical shape using a 3D-printed mold, yielding highly reproducible batches with a mass variation within ±10%. A Design of Experiments (DoE) approach identified an optimized formulation comprising a 6:4 docosane:eicosane wax blend, 10 wt% SPION loading, and a 1.5 mm capsule shell thickness, achieving efficient magnetic heating while maintaining mechanical strength (> 2 N), sufficient for withstanding GI transit. The optimized capsule formulation exhibited no cytotoxicity in vitro and remained intact throughout sequential incubation in simulated gastric, intestinal, and colonic fluids. No drug leakage or significant metal leaching (≤ 0.6%) was obtained. The capsule was successfully visualized in a porcine abdominal model using a handheld ultrasound device commonly used at the bedside in the clinic. AMF exposure triggered complete drug release within 33 seconds in vitro. In vivo studies in mice further demonstrated capsule localization via ultrasound, and AMF-triggered capsule melting in the colon via endoscopy. In conclusion, this magnetothermal capsule platform integrates non-invasive imaging and externally triggered drug release to enable localized GI drug delivery, representing a promising strategy for precision treatment of GI diseases. Wed, 03 Sep 2025 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-17044-scilifelab-30009196 https://researchdata.se/sv/catalogue/dataset/doi-10-17044-scilifelab-30009196 Uppsala universitet Yuming Zhang Kai Zhang Krisztina Juriga-Tóth Christina Paraskeva Peter T. Schmidt Vasiliki Koliaraki Alexandra Teleki Characterizing the aggregation behavior of Sodium Caprate using coarse-grained molecular dynamics (CG-MD) simulations (Martini 2 and Martini 3 force fields) in combination with the small-angle scattering techniques. Structural (final simulation snapshot) and scattering data for various systems composed of compound C10 under different concentrations, compositions, and environmental conditions. The files are organized as PDB structures and scattering data. The PDB files represent the final snapshot of aggregates generated under various conditions. Each file name follows this convention: - Concentration: e.g., `300mM`, `50mM` - Component: C10 surfactant - FaSSIF: Presence of Fasted State Simulated Intestinal Fluid (optional) - Ratio: `100:0`, `50:50`, representing the charge: uncharge ratios - Model: `M2` or `M3` representing Martini 2 and Martini 3 force fields Examples: - `300mM_C10_100:0_M2.pdb`: 300 mM C10, 100:0 ratio, studied by Martini 2 force field - `50mM_C10_FaSSIF_50:50_M3.pdb`: 50 mM C10, with FaSSIF, 50:50 ratio, studied by Martini 3 force field Text files with small-angle x-ray scattering (SAXS) or small-angle neutron scattering (SANS) data under different pH conditions: - `SANS_C10_300mM_pH81.txt`: SANS data for C10 at 300 mM, pH 8.1 - `SAXS_C10_300mM_pH65.txt`: SAXS data for C10 at 300 mM, pH 6.5 - `SAXS_C10_300mM_pH85.txt`: SAXS data for C10 at 300 mM, pH 8.5 These files can be used to: - Analyze aggregate structures under different solution conditions. - Compare structural models to experimental SAXS/SANS data. - Validate aggregate formation and stability using different simulation parameters. Thu, 14 Aug 2025 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/doi-10-17044-scilifelab-29328587 https://researchdata.se/sv/catalogue/dataset/doi-10-17044-scilifelab-29328587 Uppsala universitet Shahina Akter Md Shakhawath Hossain Magnus Bergström Per Hansson Per Larsson