A 72-year-old female was admitted with the symptoms of malaise, loss of appetite, upper right quadrant pain, fever, and sweats, which had been present for last 7 days. CT-scan of the abdomen revealed a hypodense mass in the right liver lobe; histopathological examination of the biopsy specimen yielded a diagnosis of actinomycotic abscess. Treatment with intravenous ampicillin for 8 weeks followed by a course of oral doxicycline for 28 weeks resulted in the complete resolution of the abscess.
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http://dx.doi.org/10.3855/jidc.2805 | DOI Listing |
Nat Chem Biol
January 2025
MOE Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences and MOE Engineering Research Center of Regenerative Medicine, School of Basic Medical Sciences, State Key Laboratory of Natural and Biomimetic Drugs, Peking University Health Science Center, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
Chemical reprogramming enables the generation of human pluripotent stem (hCiPS) cells from somatic cells using small molecules, providing a promising strategy for regenerative medicine. However, the current method is time consuming, and some cell lines from different donors are resistant to chemical induction, limiting the utility of this approach. Here, we developed a fast reprogramming system capable of generating hCiPS cells in as few as 10 days.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Sanders-Brown Center on Aging, Lexington, KY, USA.
Background: Compared to the 'neutral' E3, the E4 allele of Apolipoprotein E (APOE) confers up to a 15-fold increase in Alzheimer's Disease (AD) risk. Conversely, the neuroprotective E2 allele decreases AD risk by a similar degree. Here, we aimed to assess the therapeutic potential of cell-type specific allelic 'switching' by investigating the physiological and neuropathological changes associated with an inducible, in vivo APOE4 to APOE2 transition in astrocytes using a novel transgenic mouse model METHOD: The APOE "switch mouse" (APOE4s2) uses the Cre-loxP system to allow for inducible APOE allele switching from E4 to E2.
View Article and Find Full Text PDFNat Microbiol
January 2025
River Ecosystems Laboratory, Alpine and Polar Environmental Research Center, ENAC, Ecole Polytechnique Fédérale de Lausanne, Sion, Switzerland.
Glacier-fed streams (GFS) feature among Earth's most extreme aquatic ecosystems marked by pronounced oligotrophy and environmental fluctuations. Microorganisms mainly organize in biofilms within them, but how they cope with such conditions is unknown. Here, leveraging 156 metagenomes from the Vanishing Glaciers project obtained from sediment samples in GFS from 9 mountains ranges, we report thousands of metagenome-assembled genomes (MAGs) encompassing prokaryotes, algae, fungi and viruses, that shed light on biotic interactions within glacier-fed stream biofilms.
View Article and Find Full Text PDFEcol Lett
December 2024
Groningen Institute of Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands.
In socially monogamous species, sexual selection not only depends on initial mate choice but also mate switching. To date, studies lack assessment of (1) differences between passive (widowhood) and active (divorce) mate switching, (2) longer term fitness consequences (beyond the season post-divorce) and (3) how age masks reproductive costs and benefits of divorce. We investigated causes and short- and long-term consequences of mate switching and their age dependence using longitudinal data on Seychelles warblers (Acrocephalus sechellensis).
View Article and Find Full Text PDFNat Commun
December 2024
Oncology Bioinformatics, Genentech, South San Francisco, CA, USA.
Based on the success of cancer immunotherapy, personalized cancer vaccines have emerged as a leading oncology treatment. Antigen presentation on MHC class I (MHC-I) is crucial for the adaptive immune response to cancer cells, necessitating highly predictive computational methods to model this phenomenon. Here, we introduce HLApollo, a transformer-based model for peptide-MHC-I (pMHC-I) presentation prediction, leveraging the language of peptides, MHC, and source proteins.
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