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In this study, we developed an enhanced heterogeneous interface intelligent conductive hydrogel NH sensor for individualized treatment of infected wounds. The sensor achieved monitoring, self-diagnosis, and adaptive gear adjustment functions. The PPY@PDA/PANI(3/6) sensor had a minimum NH detection concentration of 50 ppb and a response value of 2.94 %. It also had a theoretical detection limit of 49 ppt for infected wound gas. The sensor exhibited a fast response time of 23.2 s and a recovery time of 42.9 s. Tobramycin (TOB) was encapsulated in a self-healing QCS/OD hydrogel formed by quaternized chitosan (QCS) and oxidized dextran (OD), followed by the addition of polydopamine-coated polypyrrole nanowires (PPY@PDA) and polyaniline (PANI) to prepare electrically conductive drug-loaded PPY@PDA/PANI hydrogels. The drug-loaded PPY@PDA/PANI hydrogel was combined with a PANI/PVDF membrane to form an enhanced heterogeneous interfacial PPY@PDA/PANI/PVDF-based sensor, which could adaptively learn the individual wound ammonia response and adjust the speed of drug release from the PPY@PDA/PANI hydrogel with electrical stimulation. Drug release and animal studies demonstrated the efficacy of the PPY@PDA/PANI hydrogel in inhibiting infection and accelerating wound healing. In conclusion, the gas-sensitive conductive hydrogel sensing system is expected to enable intelligent drug delivery and provide personalized treatment for complex wound management.
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http://dx.doi.org/10.1016/j.ijbiomac.2023.128520 | DOI Listing |
J Pathol Transl Med
September 2025
Department of Pathology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Central nervous system tumors with BCL6 corepressor (BCOR) internal tandem duplications (ITDs) constitute a rare, recently characterized pediatric neoplasm with distinct molecular and histopathological features. To date, 69 cases have been documented in the literature, including our institutional case. These neoplasms predominantly occur in young children, with the cerebellum representing the most frequent anatomical location.
View Article and Find Full Text PDFNeuro Oncol
September 2025
Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA.
Background: Disruption of the blood-brain barrier (BBB) in high-grade brain tumors is characterized by contrast accumulation on diagnostic imaging. This window of opportunity study correlates contrast imaging features with the tumor distribution of BBB-permeable (levetiracetam) and -impermeable (cefazolin) drugs.
Methods: Patients with a clinical diagnosis of a high-grade brain tumor underwent MRI for surgical planning.
BMB Rep
September 2025
Department of Systems Biology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
DNA, a large molecule located in the nucleus, carries essential genetic information, including gene loci and cis-regulatory elements. Despite its extensive length, DNA is compactly stored within the limited space of the nucleus due to its hierarchical three-dimensional (3D) organization. In this structure, DNA is organized into territories known as topologically associated domains (TADs).
View Article and Find Full Text PDFElectrophoresis
September 2025
Therapeutics Development and Supply-Analytical Development, Janssen Research & Development, LLC, Malvern, Pennsylvania, USA.
Monoclonal antibodies (mAbs) present analytical challenges due to their inherent heterogeneity and susceptibility to post-translational modifications (PTMs) during production and storage. Monitoring of charge heterogeneity profiles by imaged capillary isoelectric focusing (icIEF) has been aided by the use of non-detergent sulfobetaines (NDSBs), particularly NDSB-211, to enhance protein solubility and stability. When used in a quality control laboratory setting, NDSB-211 has shown performance variability over time due to residual manufacturing impurities that impact the capillary isoelectric focusing separation.
View Article and Find Full Text PDFProteomics Clin Appl
September 2025
AIBioMed Research Group, Taipei Medical University, Taipei, Taiwan.
Background: Endometrial carcinoma (EC) represents a significant clinical challenge due to its pronounced molecular heterogeneity, directly influencing prognosis and therapeutic responses. Accurate classification of molecular subtypes (CNV-high, CNV-low, MSI-H, POLE) and precise tumor mutational burden (TMB) assessment is crucial for guiding personalized therapeutic interventions. Integrating proteomics data with advanced machine learning (ML) techniques offers a promising strategy for achieving precise, clinically actionable classification and biomarker discovery in EC.
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