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Integrin antagonist complex (IAC), a novel αvβ3 integrin antagonist peptidomimetic, has emerged as a promising agent for molecular imaging of tumor angiogenesis. This study evaluates the biodistribution and clinical efficacy of [Ga]Ga-DOTAGA-IAC PET/CT in detecting radioiodine-refractory differentiated thyroid carcinoma (RAIR-DTC), comparing its diagnostic performance with [F]F-FDG PET/CT. In this prospective pilot study, RAIR-DTC patients underwent whole-body imaging with [F] F-FDG PET/CT, followed by [Ga]Ga-DOTAGA-IAC PET/CT.

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Rationale & Objective: Longitudinal research on chronic kidney disease (CKD) in sub-Saharan Africa is sparse, especially among people living with HIV (PLWH). We evaluated the incidence of CKD among PLWH compared with HIV-uninfected controls in Tanzania.

Study Design: Prospective cohort study.

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Epithelial cells can become polyploid upon tissue injury, but mechanosensitive cues that trigger this state are poorly understood. Using an Madin Darby Canine Kidney (MDCK) cell knock-out/reconstitution system, we show that α-catenin mutants that alter force-sensitive binding to F-actin or middle (M)-domain promote cytokinesis failure and binucleation, particularly near epithelial wound-fronts. We identified Leucine Zipper Tumor Suppressor 2 (LZTS2), a factor previously implicated in abscission, as a conformation sensitive proximity partner of α-catenin.

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PCA-based spatial domain identification with state-of-the-art performance.

Bioinformatics

January 2025

Institute of Medical Systems Biology, Center for Biomedical AI (bAIome), Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.

Motivation: The identification of biologically meaningful domains is a central step in the analysis of spatial transcriptomic data.

Results: Following Occam's razor, we show that a simple PCA-based algorithm for unsupervised spatial domain identification rivals the performance of ten competing state-of-the-art methods across six single-cell spatial transcriptomic datasets. Our reductionist approach, NichePCA, provides researchers with intuitive domain interpretation and excels in execution speed, robustness, and scalability.

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Early prediction of acute kidney injury (AKI) may provide a crucial opportunity for AKI prevention. To date, no prediction model targeting AKI among general hospitalized patients in developing countries has been published. Here we show a simple, real-time, interpretable AKI prediction model for general hospitalized patients developed from a large tertiary hospital in China, which has been validated across five independent, geographically distinct, different tiered hospitals.

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