Drug Database
DI

disopyramide

✓ Approved

Ethypharm Corp. · SCN5A · Small Molecule

What is disopyramide?

disopyramide is a small molecule developed by Ethypharm Corp.. It is approved for therapeutic indications via unknown.

Drug Profile

CompanyEthypharm Corp.
Drug ClassSmall Molecule
Molecular TargetSCN5A
RouteUnknown
StatusApproved
Sources: ClinicalTrials.gov, Ethypharm Corp.

Mechanism of Action

Molecular Targets

disopyramide acts on 1 molecular target:

SCN5Asodium voltage-gated channel alpha subunit 5 (CMD1E, SSS1)
Want deeper analysis?Noah AI can explain complex mechanisms and compare to similar drugs.

Therapeutic Indications

disopyramide is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Cardiac disordersArrhythmia✓ Approved

Related Research Articles

PubMedMedical physics2026-10-15

Low-spatial-frequency perception enhancing dynamic convolutional network for system matrix recovery in magnetic particle imaging.

Dong Zhen Z, An Yu Y, Li Guanghui G, Guo Lishuang L et al.

Magnetic particle imaging (MPI) is an emerging molecular imaging modality known for its high sensitivity and long-term tracking. System matrix (SM)-based image reconstruction is one of the most important reconstruction methods for MPI. However, MPI reconstruction based on the measured SM is limited by the requirement of voxel-stepwise precise calibration of system function within the field of view (FOV), which is time-consuming and noise-prone. Additionally, any changes in system properties require recalibrating the SM. This hinders the clinical translation and practical application of MPI. To address these limitations, we propose a low-spatial-frequency perception enhancing dynamic convolutional network (LPEDCN) to recover SMs for accelerating calibration. Specifically, we observe and reveal a positive correlation between the percentage of low-spatial-frequency energy and the signal-to-noise ratio (SNR) in the spatial Fourier transform (SFT) domain of real-world SM rows. Based on this prior, we design a low-spatial-frequency perception enhancement (LPE) joint loss to suppress high-frequency noise during model training. We also introduce a context-modulated dynamic convolution (CMDC) to capture long-range contextual features. We evaluate LPEDCN on simulated (training set: 60 SMs split into 107880 SM-row slices; validation set: 20 SMs split into 37520 slices; test set: 20 SMs split into 32660 slices; with no overlap between sets), public real-world OpenMPI (training set: 1 SM split into 101861 SM-row slices; validation set: 1 SM split into 62863 slices; test set: 1 SM split into 85347 slices; with no overlap between sets), and in-house (test set: 2 SMs split into 225 and 272 slices, respectively) datasets. SM recovery accuracy is evaluated by normalized root-mean-square error (nRMSE), and the reconstruction quality is evaluated by peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM). We assess LPEDCN by comparing it with seven state-of-the-art (SOTA) methods. Statistical significance is evaluated using two-tailed t-tests with p < 0.05 after False Discovery Rate (FDR) correction, and practical significance is assessed using Cohen's d for effect size. LPEDCN not only accelerates SM calibration in MPI, but also exhibits higher accuracy in SM recovery and better quality in image reconstruction compared to SOTA methods. For the core SM recovery metric nRMSE, LPEDCN significantly outperforms SOTA methods (p < 0.05, FDR corrected) for 2×, 4×, and 8× super-resolution (SR), respectively, with effect size values of 0.23-1.02 on the simulated dataset and 0.06-45.63 on the public real-world OpenMPI dataset. For the image reconstruction metrics PSNR and SSIM, LPEDCN is significantly superior to SOTA methods (p < 0.05, FDR corrected) for 2×, 4×, and 8× SR, respectively, with effect size values of 0.45-8.68 on the simulated dataset, and 0.10-4.65 on the OpenMPI dataset. These quantitative results consistently verify that LPEDCN yields practically meaningful performance improvements. Additionally, LPEDCN greatly reduces the SM calibration time and achieves excellent high-resolution reconstruction images. LPEDCN holds practical promise for improving MPI calibration efficiency.

PMID 42875938
Read full article →
PubMedEuropean journal of radiology2026-10-14

Deep learning-based super-resolution reconstruction for improved image quality in shoulder MRI.

Yuan Wanying W, Luo Weiling W, Zhao Ying Y, Jiang Peilong P et al.

To compare the image quality of shoulder Magnetic Resonance Imaging (MRI) using three imaging acquisition or reconstruction approaches-Parallel Imaging (PI), Compressed Sensing (CS), and Deep Learning-Based Super-Resolution Reconstruction (SR)-and to evaluate reader-assessed image quality and preference. A retrospective study included 60 patients (27 males, 33 females; mean age 53.67 ± 12.11 years). Shoulder MRI was performed with PI, CS and SR (reconstructed from CS data) across six sequences. Quantitative and qualitative assessments were conducted by experienced observers. Three radiologists selected clinically preferred sequences after a 2-week washout. Consistency and inter-group comparisons were statistically analyzed. The quantitative and qualitative assessment between observers showed good consistency. The SR group showed significantly higher quantitative measurements across all six sequences of structures [e.g. SNR: Supraspinatus tendon SR 14.03 (10.60, 20.26), CS 11.87 (8.39, 15.96), PI 8.75 (5.18, 13.51), P < 0.001] than PI and CS. SR images generally showed lower edge rise distance (ERD) values, significant overall differences among PI, CS, and SR (P < 0.01), Qualitative assessment revealed that SR overall differences among PI, CS and SR, with statistically significant differences (P < 0.001). Furthermore, three reader preference results indicated a preference for SR images that all readers preferred SR images (86 %, 92 %, and 93 %). Compared to PI and CS, SR significantly improves image quality in shoulder MRI without increasing acquisition time. SR enhances the visualization of fine anatomical structures, providing improved image quality and supporting its potential application in clinical shoulder MRI.

PMID 42874216
Read full article →
PubMedTranslational andrology and urology2026-10-14

Comparative outcomes of KangDuo and da Vinci robot-assisted ureteral reimplantation: a retrospective cohort study.

Bao Han H, Yang Qian Q, Wang Xiang X, Zhang Yu Y et al.

Ureteral reimplantation is central to distal ureteral reconstruction, but evidence comparing emerging robotic platforms with the established da Vinci system remains limited. We compared the perioperative safety and mid-term outcomes of KangDuo Surgical Robot-01 (KD-SR-01)-assisted and da Vinci-assisted ureteral reimplantation. We retrospectively analyzed 153 patients who underwent robot-assisted ureteral reimplantation between January 2024 and December 2025. Platform allocation was nonrandom and reflected patient choice after standardized counseling. The primary outcome was mid-term surgical failure, defined as persistent symptoms or radiographic obstruction requiring continued urinary drainage or further intervention; secondary outcomes were operative time, estimated blood loss, postoperative hospital stay, postoperative renal function, and complications. The primary analysis was multivariable regression adjusted for baseline differences in case complexity, with Firth penalized models used for the rare binary outcomes. Propensity score matching was retained as a sensitivity analysis. Before adjustment, the da Vinci group had longer strictures [5.0 (3.0-10.0) vs. 4.0 (3.0-5.0) cm; P=0.01] and more previous failed reconstructions (31.4% vs. 13.7%; P=0.03). All procedures were successfully completed without conversion. KD-SR-01 was associated with a longer operative time [adjusted difference, 13.91 minutes; 95% confidence interval (CI): 1.94-25.88; P=0.02]. No significant differences were observed in estimated blood loss, postoperative hospital stay, postoperative serum creatinine, or postoperative estimated glomerular filtration rate. Complications occurred in 3/51 (5.9%) KD-SR-01 and 7/102 (6.9%) da Vinci cases (adjusted odds ratio, 0.91; 95% CI: 0.20-3.49); surgical failure occurred in 1/51 (2.0%) and 2/102 (2.0%), respectively (adjusted odds ratio, 1.20; 95% CI: 0.09-10.93). Results were consistent in the propensity score-matched sensitivity analysis. KD-SR-01-assisted ureteral reimplantation is safe and feasible, with perioperative safety and mid-term clinical outcomes comparable to those of da Vinci-assisted surgery. Although the longer operative time with KD-SR-01 may reflect the surgeon's early learning curve and a more methodical operative workflow, these data suggest that the platform may be a feasible alternative in selected reconstructive cases.

PMID 42871620
Read full article →
PubMedNature communications2026-10-14

H2S-induced surface reconstruction enables efficient CsPbI3 QLEDs with ultralow roll-off.

Zhang Wanying W, Chen Jie J, Li Mengjie M, He Xuanyang X et al.

Metal halide perovskite quantum dots (QDs) are promising materials for developing low-cost and high-performance quantum dot-based light-emitting diodes (QLEDs). Despite external quantum efficiency (EQE) comparable to II-VI/III-V QLEDs, perovskite QD counterparts achieve peak EQE at low luminance/current density and exhibit significantly more pronounced efficiency roll-off, owing primarily to their ionic character and soft lattice. Engineering a robust surface is essential to ensure the structural stability of perovskite QDs, yet achieving this remains a critical challenge. Here, we develop an H2S-mediated surface passivation strategy. Experimental measurements confirm Pb-S coordination and a reduction in oleylamine ligand density, while DFT calculations suggest that (H2S)2 dimers may additionally interact with Cs-vacancy-related surface environments. This H2S-induced surface reconstruction creates a more robust surface coordination environment in CsPbI3 QDs. Benefiting from the enhanced surface stability, LEDs incorporating the treated CsPbI3 QDs possess increased ion migration barrier, balanced charge injection, and suppressed Auger recombination. These combined improvements yield a peak EQE of 30.71% at 52 mA cm-2 and 91.46 W Sr-1 m-2, with the device maintaining EQEs of 18.59% at ~500 mA cm-2 and 21.15% at ~500 W Sr-1 m-2, as well as an operational half-lifetime of 104,587 h.

PMID 42869947
Read full article →
PubMedFrontiers in cell and developmental biology2026-10-14

Lactate promotes mitochondrial biogenesis and fusion via GPR81 to enhance synaptic plasticity-related protein expression in hippocampal cells.

Shang Qinghui Q, Bian Xuepeng X, Lou Shujie S

Beyond its traditional role as a glycolysis end-product, lactate is now recognized as an important signaling molecule influencing synaptic plasticity and mitochondrial activity. We examined whether lactate, acting through its receptor GPR81, improves synaptic plasticity-related protein expression by augmenting mitochondrial biogenesis and fusion. Primary hippocampal cells and Neuro-2A cells were studied. Hippocampal cells received L-lactate or the GPR81 agonist 3OBA. We measured ATP production and levels of proteins involved in mitochondrial biogenesis (PGC-1α, NRF1/2, TFAM), fusion (OPA1, MFN2), and synaptic plasticity (BDNF, PSD95, SYN). In Neuro-2A cells, pathways were blocked using the PGC-1α inhibitor SR-18292 or the fusion inhibitor MF18 after lactate/GPR81 activation. L-lactate and 3OBA significantly enhance mitochondrial function, including increasing ATP production, upregulating key regulators of mitochondrial biogenesis (PGC-1α, NRF1/2, and TFAM), and promoting fusion proteins (OPA1 and MFN2) that maintain mitochondrial network integrity. These mitochondrial improvements were paralleled by elevated expression of synaptic plasticity-related protein expression (BDNF, PSD95, and SYN), suggesting functional coupling between metabolic and synaptic processes. Conversely, pharmacological inhibition of mitochondrial biogenesis (via PGC-1α inhibitor SR-18292) or fusion (using MF18) abolished lactate/GPR81-mediated benefits, resulting in reduced ATP levels, impaired mitochondrial membrane potential, and downregulation of synaptic proteins. Our findings reveal that lactate promotes mitochondrial biogenesis and fusion via GPR81 to enhance synaptic plasticity-related protein expression in hippocampal cells, highlighting a novel mechanism by which lactate supports neuronal energy demands and synaptic plasticity.

PMID 42871135
Read full article →
PubMedPharmacological research2026-10-14

Lentinan-induced FUBP1 O-GlcNAcylation suppresses macrophage ferroptosis and atherosclerosis via the Tp53/SLC7A11 axis.

Liu Xiaohui X, Xu Ziqin Z, Cheng Feiyang F, Hu Shuiqing S et al.

Atherosclerosis remains a leading cause of cardiovascular mortality, driven by macrophage dysfunction and necrotic core expansion. Ferroptosis, an iron-dependent cell death, is a critical driver of plaque instability; however, pharmacological interventions targeting ferroptosis remain scarce. Lentinan (LNT), a bioactive β-(1,3)-glucan extracted from shiitake mushrooms, exhibits potent antioxidant properties but its potential role in the modulation of macrophage ferroptosis remains unexplored. We investigated the therapeutic potential and molecular mechanisms of action of LNT in atherosclerosis. LNT administration significantly attenuated atherosclerotic progression in mice. Specifically, LNT mitigated macrophage ferroptosis by enhancing glutathione homeostasis and reducing lipid peroxidation. Notably, these protective effects were significantly abrogated in mice deficient in solute carrier family 7 member 11 (SLC7A11), indicating that the effect of LNT is dependent on this molecule. We found that LNT directly binds to far upstream binding protein 1 (FUBP1) and that T559 is required for FUBP1 O-GlcNAcylation and subsequent nuclear translocation. In the nucleus, FUBP1 binds to tumor protein p53 (Tp53), thereby relieving the transcriptional repression of SLC7A11. The resulting activation of the SLC7A11 signaling axis not only inhibits ferroptosis but also promotes scavenger receptor B type 1 (SR-B1)-mediated cholesterol efflux. These findings highlight LNT as a novel modulator of the FUBP1/Tp53/SLC7A11 axis, offering a promising natural therapeutic strategy to stabilize atherosclerotic plaques.

PMID 42874826
Read full article →

+9996 more articles available with a free account

Sign up free to view all articles →

Ask about disopyramide