Activation-induced cytidine deaminase (AID) mediates antibody diversification by deaminating deoxycytidines to deoxyuridine within immunoglobulin genes. However, it also generates genome-wide DNA lesions, leading to transformation. Though the biochemical properties of AID have been described, its 3-dimensional structure has not been determined. Hence, to investigate the relationship between the primary structure and biochemical characteristics of AID, we compared the properties of human and bony fish AID, since these are most divergent in amino acid sequence. We show that AIDs of various species have different catalytic rates that are thermosensitive and optimal at native physiological temperatures. Zebrafish AID is severalfold more catalytically robust than human AID, while catfish AID is least active. This disparity is mediated by a single amino acid difference in the C terminus. Using functional assays supported by models of AID core and surface structure, we show that this residue modulates activity by affecting ssDNA binding. Furthermore, the cold-adapted catalytic rates of fish AID result from increased ssDNA binding affinity at lower temperatures. Our work suggests that AID may generate DNA damage with variable efficiencies in different organisms, identifies residues critical in regulating AID activity, and provides insights into the evolution of the APOBEC family of enzymes.
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http://dx.doi.org/10.1096/fj.11-198135 | DOI Listing |
EMBO Mol Med
January 2025
Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
The exposome is the measure of all the exposures of an individual in a lifetime and how those exposures relate to health. Exposomics is the emerging field of research to measure and study the totality of the exposome. Exposomics can assist with molecular medicine by furthering our understanding of how the exposome influences cellular and molecular processes such as gene expression, epigenetic modifications, metabolic pathways, and immune responses.
View Article and Find Full Text PDFSurg Endosc
January 2025
Clinica Chirurgica, Department of Experimental and Clinical Medicine, Section of Surgical Sciences, Polytechnic University of Marche, Ancona, Italy.
Introduction: Altered vascular microcirculation is recognized as a risk factor for anastomotic leakage (AL) in colorectal surgery. However, few studies evaluated its impact on AL using different devices, with heterogeneous results. The present study reported the initial experience measuring gut microcirculatory density and flow with the aid of incidence dark-field (IDF) videomicroscopy (Cytocam, Braedius, Amsterdam, The Netherlands) comparing its operative outcome using a propensity score matching (PSM) model based on age, gender, and Charlson Comorbidity Index (CCI).
View Article and Find Full Text PDFBMJ Case Rep
January 2025
Department of Ophthalmology and Visual Sciences, University of Kentucky College of Medicine, Lexington, Kentucky, USA.
A paediatric patient presented with periorbital oedema and fever. Initially, there was low suspicion for cavernous sinus thrombosis and orbital cellulitis due to the presence of full extraocular movements. However, given worsening bilateral periorbital oedema, lethargy and sepsis, neuroimaging was performed demonstrating inflammation and enhancement of the leptomeninges and left cavernous sinus, and raising concern for cavernous sinus thrombosis in the setting of orbital cellulitis.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Key Laboratory for Biobased Materials and Energy of Ministry of Education, College of Materials and Energy, South China Agricultural University, Guangzhou 510642, China. Electronic address:
Uncontrollable bleeding poses a significant risk of death and cost in wars, vehicle accidents, and first aid. Hence, in order to seal uncontrollable bleeding and promote wound healing, the Fe-driven chitosan quaternary ammonium salt self-gelling powder (QPF) was prepared using 5%QCS/AA/Fe with the 52.72 % ± 0.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Radiation Oncology, Henry Ford Health, Detroit, MI, USA.
Automatic segmentation of angiographic structures can aid in assessing vascular disease. While recent deep learning models promise automation, they lack validation on interventional angiographic data. This study investigates the feasibility of angiographic segmentation using in-context learning with the UniverSeg model, which is a cross-learning segmentation model that lacks inherent angiographic training.
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