Staphylococcal superantigen like 5 (SSL5) is an exotoxin produced by S. aureus and has a strong inhibitory effect on MMP-9 enzymatic activity. However, the mechanism of inhibition remains unclear. We sought to identify the responsible regions of SSL5 for the interaction with MMP-9 by comparing a series of domain swap and deletion mutants of SSL5. Binding analyses revealed that SSL5 had two regions for binding to MMP-9 catalytic domain, β1-3 region (SKELKNVTGY RYSKGGKHYL IFDKNRKFTR VQIFGK) in N-terminal half and α4β9 region (KELDFKLRQY LIQNFDLYKK FPKDSKIKVI MKD) in C-terminal half. The collagen binding domain and zinc-chelating histidine residues of MMP-9 were not essential for the specific binding to SSL5. The domain swap mutants of SSL5 that conserved β1-3 but not α4β9 region inhibited the gelatinolysis by MMP-9, and the mutant of SSL7 that substituted β1-3 region to that of SSL5 acquired the binding and inhibitory activity. Furthermore, the polypeptide that harbored β1-3 region of SSL5 inhibited gelatinolysis by MMP-9. Taken together, SSL5 inhibits the MMP9 activity through binding to the catalytic domain, and the β1-3 region is responsible for the inhibition of proteolytic activity of MMP-9.
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http://dx.doi.org/10.1016/j.bbrc.2018.02.138 | DOI Listing |
J Exp Bot
January 2025
Ministry of Education Key Laboratory of Molecular and Cellular Biology; Hebei Research Center of the Basic Discipline of Cell Biology; Hebei Collaboration Innovation Center for Cell Signaling and Environmental Adaptation; Hebei Key Laboratory of Molecular and Cellular Biology; College of Life Sciences, Hebei Normal University, 050024 Shijiazhuang, China.
A well-constructed pollen wall is essential for pollen fertility, which relies on the contribution of tapetum. Our results demonstrate an essential role of the tapetum-expressed protein phosphatase 2A (PP2A) B'α and B'β in pollen wall formation. The b'aβ double mutant pollen grains harbored sticky remnants and tectum breakages, resulting in failed release.
View Article and Find Full Text PDFMAGMA
January 2025
Aix Marseille Univ, CNRS, CRMBM, Marseille, France.
Objective: Segmentation of individual thigh muscles in MRI images is essential for monitoring neuromuscular diseases and quantifying relevant biomarkers such as fat fraction (FF). Deep learning approaches such as U-Net have demonstrated effectiveness in this field. However, the impact of reducing neural network complexity remains unexplored in the FF quantification in individual muscles.
View Article and Find Full Text PDFCurr Atheroscler Rep
January 2025
Nantes Université, CHU Nantes, CNRS, Inserm, l'institut du thorax, F-44000, Nantes, France.
Purpose Of Review: While lipid-lowering therapies demonstrate efficacy, many patients still contend with significant residual risk of atherosclerotic cardiovascular diseases (ASCVD). The intestine plays a pivotal role in regulating circulating lipoproteins levels, thereby exerting influence on ASCVD pathogenesis. This review underscores recent genetic findings from the last six years that delineate new biological pathways and actors in the intestine which regulate lipid-related ASCVD risk.
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January 2025
Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Dysregulation of long non-coding RNAs (lncRNAs) is implicated in the pathophysiology of ischemic stroke (IS). However, the molecular mechanism of the lncRNA SERPINB9P1 in IS remains unclear. Our study aimed to explore the role and molecular mechanism of the lncRNA SERPINB9P1 in IS.
View Article and Find Full Text PDFArch Orthop Trauma Surg
January 2025
Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, Braga, 4710-057, Portugal.
Introduction: Total joint arthroplasties generally achieve good outcomes, but chronic pain and disability are a significant burden after these interventions. Acknowledging relevant risk factors can inform preventive strategies. This study aimed to identify chronic pain profiles 6 months after arthroplasty using the ICD-11 (International Classification of Diseases) classification and to find pre and postsurgical predictors of these profiles.
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