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ketoprofen SR

✓ Approved

Ethypharm Corp. · PTGS1 · 小分子

什么是 ketoprofen SR?

ketoprofen SR 是一种小分子,由Ethypharm Corp.研发。该药已获批,用于治疗相关适应症,给药途径:Unknown。

药物档案

公司Ethypharm Corp.
药物类别小分子
分子靶点PTGS1, PTGS2
给药途径Unknown
状态Approved

作用机制

分子靶点

ketoprofen SR 作用于 2 个分子靶点:

PTGS1prostaglandin-endoperoxide synthase 1 (COX3, PCOX1)
PTGS2prostaglandin-endoperoxide synthase 2 (GRIPGHS, hCox-2)
需要更深入的分析?Noah AI 可解释复杂机制并与同类药物比较。

治疗适应症

ketoprofen SR 针对 2 个适应症,涉及 2 个治疗领域。

治疗领域疾病/病症分期
Gastrointestinal disordersAbdominal pain✓ Approved
Hepatobiliary disordersHepatitis✓ Approved

相关研究文献

PubMedJournal of imaging2026-07-27

Vectorial Image Representation on the Texture Space (VIR-TS) Applied to RGB Image Classification: Face Recognition.

Guillen-Bonilla Héctor H, Guillen-Bonilla José Trinidad JT, Jiménez-Rodríguez Maricela M, Guillen-Bonilla Alex A et al.

In this paper, an RGB image with S is separated by its channels, obtaining an image in each color channel SR, SG and SB. The Vectorial Image Representation on the Texture Space (VIR-TS) transform is calculated for each channel; ergo, each image is represented with a given vector, SR→ C→R, SG→C→G and SB→C→B. Employing the C→R, C→G, and C→B vectors in a multi-class classifier, a database of RGB images was identified with the aim of verifying the classification efficiency of the VIR-TS transform. Based on the experimental results, the VIR-TS technique presents high efficiency when the noise is not added to the class and when the signal-to-noise ratio is high. For both instances, the efficiency presented is 100%. Nonetheless, if the class noise is high, the efficiency diminishes from 100%, to 95%, to 90% until it decreases to 10%. Based on the results obtained, the VIR-TS transform can be efficiently applied for the development of security systems and access control and can also be implemented in computer vision systems for medical diagnosis, drones, etc.

PMID 42506141
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PubMedAntibiotics (Basel, Switzerland)2026-07-27

Suppression of Quorum Sensing and Virulence Factors by Meloxicam and Celecoxib in Methicillin-Resistant Staphylococcus aureus Clinical Isolates.

Ali Reham R, El-Domany Ramadan A RA, Shaaban Mona I MI

Background:Staphylococcus aureus is a major cause of life-threatening infections, and increasing antimicrobial resistance necessitates alternative therapeutic strategies. This study evaluated the antiquorum sensing and antivirulence activities of selected nonsteroidal anti-inflammatory drugs (NSAIDs) against S. aureus clinical isolates by targeting the accessory gene regulator (agr). Methods: Antimicrobial susceptibility and virulence factor production were evaluated in 56 S. aureus clinical isolates. The MICs of six NSAIDs (Diclofenac, ketoprofen, ketorolac, meloxicam, indomethacin and celecoxib) were determined by broth microdilution, and the effects of sub-MICs (½ and ¼ MIC) on virulence factors were assessed. The expression of agrA, hlb, and hld was analyzed by qRT-PCR, and molecular docking was performed to evaluate interactions with AgrA receptor. Results: Among the isolates, high resistance rates were accompanied with cefoxitin, ceftazidime, and cefepime. Hemolysin, protease, and lipase production were detected in 42.86%, 89.28%, and 94.64% of isolates, respectively. Meloxicam and celecoxib at sub-MIC levels significantly reduced hemolysin, protease, and lipase activities. Additionally, both drugs markedly downregulated agrA expression by 88.9-95.3% and significantly reduced hlb and hld expression by 90.5-99.9% without affecting bacterial growth. Molecular docking demonstrated favorable binding interactions with AgrA. Conclusions: Meloxicam and celecoxib could be promising adjunctive therapies against S. aureus through suppression of the Agr-regulated virulence traits.

PMID 42505670
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PubMedBiomimetics (Basel, Switzerland)2026-07-27

Enhanced LGMD Model with Adaptive Probabilistic Regulation for Compound Interference.

Luan Hao H, Nie Changmiao C, Chen Weikun W, Yang Bin B et al.

When subjected to compound interference, such as spatial noise and high-frequency jitter, current LGMD-inspired collision detection models for micro-robots are prone to false alarms and perceptual degradation. To address this challenge, this paper proposes an enhanced visual perception model that incorporates adaptive Gaussian random variables and spatial residual feedback (SRF). These random variables filter out discrete spatial noise, while the SRF suppresses global image shifts induced by jitter. Evaluations on synthetic and real-world video sequences validate the proposed mechanisms. Comparative results demonstrate that the model effectively reduces false responses under compound interference, thereby maintaining robust success rate (SR), discrimination ratio (DR), and membrane potential stability index (MPSI) metrics. To explain this robustness, ablation analyses further verify the synergistic benefits of the SRF and the Gaussian random variables. Furthermore, statistical results on the random variables indicate that, under compound interference, the adaptive probabilistic model outperforms fixed probabilistic configurations. By ensuring robust collision perception against such interference, this work enhances the practical viability of LGMD-inspired visual systems.

PMID 42505521
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PubMedMolecular neurobiology2026-07-27

Early Rehabilitation Exercise Promotes Vestibular Compensation in UVN Mice by Regulating Microglial Polarization Balance via the PGC-1α/FNDC5/BDNF Pathway.

Wu Junyu J, Zheng Zhihui Z, Lu Gengxin G, Guo Junjie J et al.

Acute unilateral vestibular lesions cause disabling vertigo, postural imbalance, and gait instability. Functional recovery depends on vestibular compensation (VC), a neuroplastic process whose cellular and molecular mechanisms remain incompletely understood. Although vestibular rehabilitation effectively accelerates recovery in clinical practice, the underlying pathways are still elusive. Here, we investigated how exercise-based vestibular rehabilitation modulates neuroinflammation and microglial polarization within the medial vestibular nucleus (MVN) in a mouse model of unilateral vestibular neurectomy (UVN), focusing on the PGC‑1α/FNDC5/BDNF axis in promoting VC. Mice underwent a progressive running-wheel training protocol, and behavioural recovery was assessed using rotarod, beam-walk, and open-field tests. At the molecular and cellular levels, we combined mRNA sequencing, bioinformatic analysis, Western blotting, and immunofluorescence to evaluate pathway activation, inflammatory mediators, and microglial morphology and phenotype. Exercise upregulated the PGC‑1α/FNDC5/BDNF cascade and inhibited NF‑κB/NLRP3-mediated neuroinflammation. It also shifted microglia from a pro-inflammatory M1-like phenotype toward an anti-inflammatory M2-like state, increased microglial process complexity, and improved postural balance recovery. Intracerebroventricular administration of the PGC‑1α inhibitor SR‑18292 abrogated these effects, aggravating inflammation and delaying VC. These findings demonstrate that the PGC‑1α/FNDC5/BDNF pathway is a key mediator of exercise-promoted VC and a promising target for improving rehabilitation strategies for vestibular disorders.

PMID 42503585
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PubMedJournal of the American Chemical Society2026-07-27

Pd24Cu12 Cages with Open Tripalladium Nodes for Selective Hydrogenation.

Sun Jing J, Wu Qingyuan Q, Yan Bingzheng B, Zuo Dongjie D et al.

Metal-organic cages (MOCs) featuring palladium nodes have become a cornerstone in the field of supramolecular coordination chemistry. Despite the predominant emphasis on Pd(II), which has laid a fundamental basis for MOC assembly, substantial opportunities persist for the investigation of a wider array of structural building blocks. Consequently, the innovation of new palladium-based building blocks is of critical importance for realizing emergent functionalities and extending the application landscape of MOCs. In this study, we present the {Pd3(SR')3[PR3]3}+ (abbreviated as Pd3) cluster as a unique building unit characterized by accessible metal sites conducive to catalytic activity of MOCs. The cluster undergoes a one-pot coassembly with Cu2 units to yield a Pd24Cu12 cage, exhibiting a face-centered cubic architecture. Within this framework, eight Pd3 nodes are situated at the corners, while six Cu2 units are located at the face centers. The structure is maintained by 24 4-mercaptobenzoic acid ligands, where thiolate groups coordinate to the Pd3 nodes and carboxylate groups bind to the Cu2 units. Such a rigid framework, together with the electronic communication among the metal centers, accounts for the exceptional thermal and aerobic stability of the cage. Notably, the cage showcases high catalytic activity and selectivity in the hydrogenation of azobenzene. These findings not only introduce a class of catalytically active palladium nodes for the assembly of chemically different palladium-organic cages but also pave the way for further exploration of cage-based catalysts in hydrogenation processes.

PMID 42503784
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PubMedMediators of inflammation2026-07-27

Macrophage-Driven Bidirectional Exacerbation in Psoriasis-Atherosclerosis Comorbidity: Insights From a Novel Mouse Model.

Tan Fangshun F, Jiang Yu Y, Wang Ruizhi R, Hu Ziquan Z et al.

Psoriasis (PSO) and atherosclerosis (AS) are chronic inflammatory diseases that frequently coexist, with each condition exacerbating the other. However, the underlying mechanisms remain poorly understood, partly due to the lack of a suitable animal model that recapitulates this bidirectional comorbidity. PSO-AS mouse models were constructed by combining high-fat diet (HFD)-induced AS with imiquimod (IMQ)-triggered psoriatic inflammation in ApoE-/- mice. PSO severity was assessed via skin manifestation, hematoxylin and eosin (H&E) staining, PSO area and severity index (PASI) score, quantitative real-time PCR (qRT-PCR), and serum ELISA, while AS was assessed by en face Oil red O (ORO) staining of aorta, H&E staining, ORO staining, Sirius Red (SR) staining, and immunofluorescence (IF) staining of the aortic root section. Mechanistic insights were obtained via proteomics, machine learning (ML), and validation of macrophage polarization in both skin and plaques. Chronic PSO model more closely resembles real-world conditions than acute PSO model. Combining the IMQ application with a HFD, both the PSO-AS group and the PSO group developed obvious psoriatic skin lesion, but the PSO-AS group showed the highest epidermal thickness, PASI scores, and expression levels of psoriatic biomarkers (Interleukin-17A [IL-17A] and Interleukin-23 [IL-23]) and inflammatory factors (e.g., tumor necrosis factor alpha [TNF-α] and Interleukin-6 [IL-6]), implying that AS may exacerbate PSO. Similarly, the PSO-AS and AS groups both developed obvious plaque in the aorta, while the PSO-AS group has the largest plaque area, necrotic core (NC) area, lipid content with the least fibrous cap (FC) thickness, and collagen content, illustrating that PSO conspicuously aggravated AS progression and led to an unstable plaque shift. Statistical analysis also confirms that PSO and AS mutually exacerbate each other, forming a vicious cycle that may be strongly associated with IL-17. Proteomics and ML revealed marked M1 macrophage polarization in PSO-AS mice. Validation by Western blot and IF showed upregulated M1 markers (CD86) and downregulated M2 markers (CD163) in both skin lesions and aortic roots, indicating that M1-skewed macrophages fuel the vicious cycle. Besides, we explore that IFIT3 may serve as a promising biomarker for M1 macrophages in PSO-AS skin. This novel PSO-AS mouse model faithfully recapitulates the bidirectional exacerbation seen clinically and uncovers M1 macrophage polarization as a key driver of this comorbidity. The model provides a robust platform for mechanistic and therapeutic studies of PSO-associated cardiovascular disease (CVD).

PMID 42504112
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