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isosorbide dinitrate SR

✓ Approved

Ethypharm Corp. · Small Molecule · Small Molecule

What is isosorbide dinitrate SR?

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

Drug Profile

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

Therapeutic Indications

isosorbide dinitrate SR is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Cardiac disordersAngina pectoris✓ Approved

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PubMedPhysical chemistry chemical physics : PCCP2026-10-22

Dual-guest-metal control of stability and superconductivity in ambient-pressure B-C clathrates X0.5Y0.5B2C8.

Yang Yuting Y, Su Zhangmin Z, Chen Ruijie R, Guo Hongying H et al.

Phonon-mediated superconductivity in boron-carbon clathrates has become an active area of research, but how mixed guest-metal occupancy affects stability and superconductivity is still unclear. Using high-throughput first-principles calculations, we study quaternary X0.5Y0.5B2C8 clathrates (X, Y = Li, Na, K, Rb, Cs, Mg, Ca, Sr, and Ba) at ambient pressure. We identify 15 dynamically stable phases, all involving combinations of two large-radius guest metals. Fourteen of these phases are predicted to be superconducting: compounds with an average formal oxidation state at the metal sites of +1.5 and +1 show Tc of 34 to 42 K and 78 to 90 K, respectively, whereas the remaining +2 phase is semiconducting. The contrast in Tc fits a rigid-band picture in which lower guest formal oxidation states increase the B-C density of states at the Fermi level and enhance coupling to mid-frequency B-C phonons. Ab initio molecular dynamics at 300 K reveals no structural transformation, indicating that these dual-guest clathrates are viable candidates for further study.

PMID 42902693
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PubMedFood chemistry: X2026-10-20

Metabolomics reveals the effect of sand roasting, freeze-drying, and different hydrothermal treatments on the physical, functional and bioactive profile of Rice bean (Vigna umbellata).

Basumatary Somaina S, Singh Manish Kumar MK, Hmar Baby Zaithanpuii BZ, Kumar Arvind A et al.

This study comprehensively investigated the effects of five processing treatments, namely soaking (SK), germination (GR), sand roasting (SR), freeze-drying (FD), and pressure cooking (PC) on the physicochemical, functional, structural, antioxidant, and metabolomic characteristics of rice bean (Vigna umbellata), an underutilised legume with high nutritional potential. Significant variations (p ≤ 0.05) were observed among treatments. GR proved most effective in enhancing nutritional and bioactive quality, yielding the highest protein content (24.3%), total phenolics (8.42 mg GAE/g), flavonoids (4.22 mg QE/g), DPPH radical scavenging activity (72.67%), foaming capacity (32.82%), and emulsion stability (76.3%). PC maximised sphericity (68.85%), swelling index (5.31 g/g), and hydration properties, while SR enhanced oil absorption capacity (2.42 g/g). Untargeted HR-MS metabolomics detected 10,533 metabolite features, with GR samples showing the richest profile and enrichment of quercetin, kaempferol, and naringenin derivatives; 283 metabolites constituted the shared core metabolome. FT-IR revealed treatment-induced modifications in protein, lipid, and carbohydrate structures, and XRD confirmed A-type starch crystallinity, largely preserved by FD but disrupted by PC. These findings demonstrate that processing-specific structural modifications govern functionality, highlighting the targeted use of rice bean flour in functional food applications.

PMID 42898583
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PubMedOptics letters2026-10-20

X-ray imaging based on fluorescence spherical waves.

Wang Zhenlong Z, Zhang Haipeng H, Zhao Changzhe C, Xue Lian L et al.

X-ray microscopy (XRM) is an important noninvasive technique for 3D visualization of internal structures. However, achieving a large field of view, high resolution, and low-dose imaging simultaneously remains challenging. This study proposes a lensless full-field phase-contrast imaging method termed synchrotron radiation X-ray fluorescence spherical-wave imaging (SR-XFSFI). A high-flux white microbeam excites a high-purity copper target to generate quasi-monochromatic Cu K α fluorescence spherical waves, enabling lensless geometric magnification beyond the sampling limit imposed by large-pixel detectors. Experiments demonstrate a 3 µm spatial resolution using a detector with 172 µm pixels under millisecond exposure conditions. This method enables continuously tunable magnification and cross-scale imaging of medaka fish, providing an approach for large-field-of-view, high-resolution, and low-dose X-ray imaging of radiation-sensitive samples.

PMID 42900143
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PubMedNature communications2026-10-20

Controlling the shell growth mechanism and interfacial oxidation of InAs/ZnSe quantum dots for shortwave infrared emission.

Kim Taewan T, De Franco Manuela M, Dosil Miguel M, Oh Jae Taek JT et al.

Short-wave infrared (SWIR) emitters underpin applications in communication, imaging and sensing, yet efficient, scalable devices remain limited. Colloidal InAs quantum dots (InAs CQDs) offer a compelling, cost-effective alternative to conventional epitaxial SWIR light-emitting diodes (LEDs). However, developing heavy-metal-free InAs CQDs for emission beyond 1400 nm is hindered by lattice mismatch during core/shell growth, which degrades photoluminescence quantum yield (PLQY). Furthermore, integrating CQDs into LEDs often introduces severe interfacial quenching and intrinsic charge imbalances. Here we report a highly efficient heavy-metal-free SWIR LED operating at 1525 nm, enabled by tailored injection strategies and oxidation-induced interfacial engineering. Optimized high-temperature ZnCl₂ treatment and continuous precursor injection improve shell nucleation and growth, while controlled interfacial oxidation is associated with reduced shell-thickness-dependent strain signatures and improved PLQY retention during shell thickening. Together, these strategies yield measured PLQYs exceeding 55% for emission beyond 1400 nm. Moreover, we demonstrate that incorporating a semiconducting InAs CQD interlayer effectively suppresses interfacial quenching and regulates electron over-injection. Combined with a doped hole-transport layer to reduce series resistance, our optimized devices achieve a maximum external quantum efficiency of 3.5% and a record radiance of ~17 W sr-1 m-2, alongside a T50 operational lifetime of 16 h. Our findings suggest that integrating mechanism-driven shell growth with rational device engineering offers a strategy to overcome current bottlenecks in colloidal emitters, facilitating the transition toward short-wave infrared applications.

PMID 42897179
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PubMedChemPlusChem2026-10-19

Tunable Acidity of Sulfated Zr-Sn Mixed Oxides for Solvent-Free Sorbitol Dehydration to Isosorbide.

Trivedi Jay B JB, Rana Paresh H PH

One of the most important processes in creating sustainable monomers for high-performance polymers is the catalytic dehydration of sorbitol obtained from biomass to isosorbide. This study investigated a series of sulfated ZrxSn1 - xO2 (x = 0.1-0.9) mixed oxides prepared by coprecipitation method for sorbitol dehydration under solvent-free conditions. Comprehensive evaluation of different characterization techniques, i.e., X-ray diffraction, Fourier transform infrared, transmission electron microscope, N2 physisorption, and NH3-TPD demonstrated that surface acidity, textural characteristics, and catalytic activity were greatly affected by catalyst composition. Catalyst with intermediate Zr content (0.4-0.6) had an ideal balance of weak, medium, and strong Brønsted acid sites, which resulted in complete conversion of sorbitol and higher isosorbide selectivity. 100% sorbitol conversion and 87% isosorbide selectivity were achieved with sulfated (S)-Zr0.5Sn0.5O2 at 220 °C within 3 h, exceeding many reported heterogeneous solid acids catalyst. A minor loss in catalyst activity was observed after four cycles, showing its potential for long-term isosorbide production.

PMID 42897100
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PubMedAcademic radiology2026-10-19

Super Resolution Reconstruction: A Strategy to Improve the Diagnostic Performance of Radiomics for Predicting Microvascular Invasion in Hepatocellular Carcinoma.

Liu Xiaojing X, Tang Xiaojie X, Zhao Haichen H, Gao Yuanxiang Y et al.

Microvascular invasion (MVI) is a key factor associated with high postoperative recurrence rate in patients with hepatocellular carcinoma (HCC). This study aims to evaluate the value of super-resolution (SR) reconstruction based on hepatobiliary phase (HBP) MR images for improving the accuracy of MVI prediction. A total of 544 patients with HCC from two medical centers between 2018 and 2025 were retrospectively analyzed, including 450 patients in the training set, 51 in the internal validation set, and 43 in the external test set. Based on a lesion-aware 3D Restormer transformer architecture, SR reconstruction was performed using HBP MR images to generate super-resolution MR images. Tumor segmentations were automatically performed using the nnU-Net architecture and manually corrected by an experienced abdominal radiologist before radiomics feature extraction. Radiomics features were then extracted from original and SR images. Radiomics models based on original and SR images were developed to predict MVI status. Three machine learning algorithms, including Logistic Regression, Random Forest, and LightGBM, were used for model development. A total of 851 radiomics features were extracted from the original and SR images, respectively. Redundant features were filtered, and 50 radiomics features were selected using LASSO regression with cross-validated. For MVI prediction, the pooled areas under the receiver operating curves (AUCs) of radiomics model based on the original images were 0.710, 0.764, and 0.614 in the training, validation and test sets, respectively. The corresponding AUCs of the radiomics model based on the SR images were 0.855, 0.798, and 0.827, respectively. In the test set, the AUC of the radiomics model based on the SR images was higher than that based on the original images (0.827 vs. 0.614, p <0.001). SR reconstruction can improve the diagnostic performance of radiomics models for predicting MVI in patients with HCC.

PMID 42897016
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