13C-nuclear magnetic resonance was used to study the metabolism of [2-(13)C]acetate in suspensions of Rhodopseudomonas sphaeroides. In the dark, in logarithmic-phase cells the 13C label appeared first in butyrate C-2 and C-4 and subsequently in glutamate C-4 and succinate C-2 and C-3. In the light, synthesis of poly(beta-hydroxybutyrate) (PHB) takes place. Butyrate synthesis seems to be independent of PHB synthesis or degradation activity. Starved, logarithmic-phase cells also show massive synthesis of PHB in the dark. Stationary-phase cells incorporate 13C predominantly into glutamate and succinate. No significant butyrate biosynthesis can be detected in the dark or during illumination. The incorporation of label in PHB is very slow in these cells and most probably originates from exchange of 12C for 13C into PHB. This might indicate slow turnover without net synthesis of the polymer occurring under these conditions. The results are discussed in relation to the redox state and the availability of metabolic energy for biosynthetic reactions in the dark and during illumination of cell suspensions of Rps. sphaeroides.
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http://dx.doi.org/10.1016/0167-4889(82)90048-9 | DOI Listing |
Sci Rep
December 2024
Department of Diagnostic Radiology, Dalhousie University, Halifax, Canada.
The goal of this study was to determine how radiologists' rating of image quality when using 0.5T Magnetic Resonance Imaging (MRI) compares to Computed Tomography (CT) for visualization of pathology and evaluation of specific anatomic regions within the paranasal sinuses. 42 patients with clinical CT scans opted to have a 0.
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December 2024
Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-ro 875, Haeundae-gu, Busan, 48108, Republic of Korea.
This study aimed to investigate alterations in a multilayer network combining structural and functional layers in patients with end-stage kidney disease (ESKD) compared with healthy controls. In all, 38 ESKD patients and 43 healthy participants were prospectively enrolled. They exhibited normal brain magnetic resonance imaging (MRI) without any structural lesions.
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December 2024
Department of Medical Device Development, Seoul National University College of Medicine, Seoul, Republic of Korea.
Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.
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December 2024
Institute of Informatics, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland.
Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.
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December 2024
BAOBAB Unit, NeuroSpin center, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Decoding states of consciousness from brain activity is a central challenge in neuroscience. Dynamic functional connectivity (dFC) allows the study of short-term temporal changes in functional connectivity (FC) between distributed brain areas. By clustering dFC matrices from resting-state fMRI, we previously described "brain patterns" that underlie different functional configurations of the brain at rest.
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