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Choo, J.

Publications and source records attributed to Choo, J..

5 recordsLinked to original sources

Early plasma proteomic alterations precede amyloidosis diagnosis, reflecting cardiac and immune dysregulation

Systemic amyloidosis is typically diagnosed only after irreversible organ damage has occurred, limiting the effectiveness of available therapies. Whether the disease is preceded by detectable molecular changes long before clinical presentation has remained unclear. Here, we leveraged population-scale plasma proteomics and longitudinal follow-up from the UK Biobank to investigate early circulating protein signatures associated with future diagnosis of amyloidosis. Among approximately 53,000 participants with proteomic profiling, we identified 61 individuals who developed amyloidosis up to 14 years after protein assessment. Differential expression and correlation analyses identified a seven-protein panel, including MYL3, MYBPC1, NT-proBNP, NPPB, FCRLB, IGFBP1, and FABP1, consistent with early cardiac stress and immune dysregulation. Time-to-event modelling demonstrated robust stratification of amyloidosis risk and timing. Importantly, a parsimonious subset of these proteins retained strong predictive performance, indicating that a reduced set of biologically informative markers is sufficient for risk stratification. Furthermore, these proteomic signals were not explained by pre-existing cardiac disease, clonal haematopoiesis, or related plasma cell disorders, indicating that they capture disease-specific biological processes preceding clinical diagnosis. Together, these findings show that amyloidosis is preceded by persistent plasma proteomic alterations, providing a framework for early risk stratification and insight into the preclinical biology of this under-recognised disease.

bioinformatics↗

From adolescence to adulthood: functional fingerprints of high-level visual cortex reveal differential development of visuospatial processing

Reading, social interaction, and navigation rely on visuospatial computations by population receptive fields (pRFs) in category-selective regions of the ventral, lateral, and dorsal streams. However, how visuospatial computations vary across streams and category, or develop during adolescence is unknown. Using functional magnetic resonance imaging (fMRI) and pRF modeling in adolescents and adults, we investigate the development of pRFs and category-selectivity. Adolescents and adults show a consistent functional fingerprint whereby, pRF location, pRF size, and visual field coverage vary by category-selectivity, stream, and hemisphere. While pRF location is largely adult-like by adolescence, pRF size, visual field coverage, and category-selectivity exhibit region-specific increases and decreases from adolescence to adulthood. Together, these findings delineate a timeline of continued functional plasticity during adolescence and provide a multidimensional framework for understanding the organization of high-level visual cortex.

neuroscience↗

Visuospatial computations vary by category and stream and continue to develop in adolescence

Reading, face recognition, and navigation are supported by visuospatial computations in category-selective regions across ventral, lateral, and dorsal visual streams. However, the nature of visuospatial computations across streams and their development in adolescence remain unknown. Using fMRI and population receptive field (pRF) modeling in adolescents and adults, we estimate pRFs in high-level visual cortex and determine their development. Results reveal that pRF location, size, and visual field coverage vary across category, stream, and hemisphere in both adolescents and adults. While pRF location is mature by adolescence, pRF size and visual field coverage continue to develop - increasing in face-selective and decreasing in place-selective regions - alongside similar development of category selectivity. These findings provide a timeline for differential development of visual functions and suggest that visuospatial computations in high-level visual cortex continue to be optimized to accommodate both category and stream demands through adolescence.

neuroscience↗

Bone marrow haematopoietic stem cells influence liver homeostatic networks and cancer development after dietary intervention

A holistic understanding of anti-tumor immunity requires examination of systemic immunity beyond the tumor microenvironment. This link between systemic and tumor immune activity is underexplored. We demonstrate that a stronger Type I interferon response in human liver tumors predicts better survival and correlates with the immune response in the adjacent non-tumor liver. Further, in patients with liver cancer, clonal hematopoiesis (CH) (a marker of systemic immune activation) is associated with a trend towards improved survival. In a mouse model of liver cancer, basal liver immune responses correlate with the degree of bone marrow hematopoietic stem and progenitor cell responses. A higher systemic and liver immune response, marked by innate myeloid cell infiltration reduces tumor burden, while sub-optimal systemic and liver immunity corresponded with a higher tumor burden. Our findings indicate that the state of bone marrow hematopoiesis impacts liver tumor outcomes, offering both therapeutic and prognostic opportunities.

systems biology↗

Label-free three-dimensional analyses of live cells with deep-learning-based segmentation exploiting refractive index distributions

Visualisations and analyses of cellular and subcellular organelles in biological cells is crucial for the study of cell biology. However, existing imaging methods require the use of exogenous labelling agents, which prevents the long-time assessments of live cells in their native states. Here we propose and experimentally demonstrate three-dimensional segmentation of subcellular organelles in unlabelled live cells, exploiting a 3D U-Net-based architecture. We present the high-precision three-dimensional segmentation of cell membrane, nucleus membrane, nucleoli, and lipid droplets of various cell types. Time-lapse analyses of dynamics of activated immune cells are also analysed using label-free segmentation. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/445351v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@b92093org.highwire.dtl.DTLVardef@9caa8org.highwire.dtl.DTLVardef@d81408org.highwire.dtl.DTLVardef@b3c87_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗