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sitagliptin phosphate + ipragliflozin L-proline (Sujanu / MK0431J)

✓ Approved

Kotobuki Pharmaceutical Co., Ltd. · DPP4 · Small Molecule

What is sitagliptin phosphate + ipragliflozin L-proline?

sitagliptin phosphate + ipragliflozin L-proline is a small molecule developed by Kotobuki Pharmaceutical Co., Ltd.. It is approved for therapeutic indications via oral (po).

Drug Profile

Brand NamesSujanu, MK0431J
CompanyKotobuki Pharmaceutical Co., Ltd.
Drug ClassSmall Molecule
Molecular TargetDPP4, SLC5A2
RouteOral (PO)
StatusApproved

Mechanism of Action

Molecular Targets

sitagliptin phosphate + ipragliflozin L-proline acts on 2 molecular targets:

DPP4dipeptidyl peptidase 4 (CD26, DPPIV)
SLC5A2solute carrier family 5 member 2 (SGLT2)
Want deeper analysis?Noah AI can explain complex mechanisms and compare to similar drugs.

Therapeutic Indications

sitagliptin phosphate + ipragliflozin L-proline is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Metabolism and nutrition disordersType 2 diabetes mellitus✓ Approved

Related Research Articles

PubMedACS applied materials & interfaces2026-11-11

Phosphate-Functionalized Macroporous Cellulose Sponges for Uranium Recovery from Seawater.

Sekine Yurina Y, Nankawa Takuya T, Sugita Asako A, Konda Miki M et al.

Cellulose-based adsorbents offer a sustainable platform for uranium recovery from seawater, but simple functionalization strategies that enable effective uranium capture under highly competitive marine conditions remain limited. Here, we report a post-phosphorylation strategy for introducing uranium-binding functionality into a preformed freeze-crosslinked carboxymethyl cellulose nanofiber (CMCF) sponge while retaining its interconnected macroporous architecture. Impregnation of the cellulose sponge with NH4H2PO4/urea followed by mild thermal treatment at 120 °C introduced up to 114 ± 18 mg P g-1 sponge. In seawater spiked with 10 mg L-1 U(VI), both nonphosphorylated and phosphorylated CMCF sponges showed similarly high U removal (>96%), largely obscuring the effect of phosphate functionalization. In contrast, a pronounced phosphate-dependent enhancement emerged under realistic seawater conditions: the nonphosphorylated sponge showed negligible U removal from natural seawater, whereas the post-phosphorylated P1-CMCF sponge achieved approximately 99% U removal within 24 h. SEM-EDX and XPS analyses further supported uranium accumulation at phosphate-rich cellulose interfaces and the involvement of phosphate-associated oxygen donor sites in U binding. The captured uranium was nearly quantitatively recovered using 0.1 mol L-1 NaHCO3, and adsorption performance was maintained over three adsorption-desorption cycles. These results demonstrate that simple post-phosphorylation of a preformed macroporous cellulose scaffold provides accessible uranium-binding interfaces while preserving the underlying transport architecture, offering a straightforward route to efficient and regenerable uranium recovery under chemically complex seawater conditions.

PubMedPhysical chemistry chemical physics : PCCP2026-11-11

Semi-empirical thermodynamic model for solvent extraction of neodymium(III) nitrate by tri-n-butyl phosphate.

Coomans Cédric C, Lommelen Rayco R, Binnemans Koen K

The separation and purification of rare-earth elements (REEs) by solvent extraction (SX) is a complex process that requires strict process development and control. Semi-empirical thermodynamic models offer advantages over purely empirical approaches for predicting liquid-liquid equilibria, particularly in highly non-ideal systems. In this study, the OLI mixed solvent electrolyte (MSE) framework was used to develop a thermodynamic model for solvent extraction of Nd(III), achieving an error of ±6.74% on the extraction efficiency over the concentration ranges of 0.05-4.5 mol L-1 Nd(III), 0-7 mol L-1 HNO3, 0-5 mol L-1 NaNO3, and 30-100 vol% tri-n-butyl phosphate (TBP) in n-aliphatic diluents. The model incorporates detailed chemical speciation and accurately describes non-ideal behaviour in both concentrated electrolytes and non-aqueous solvents. Batch solvent extraction experiments covering a wide range of aqueous feed compositions that address gaps in the existing literature demonstrated that modelling Nd(III) extraction by considering only one metal complex, [Nd(NO3)3TBP3], gives a good agreement between experimental and calculated distribution data. Combined with infrared and UV-VIS absorption spectroscopy, these results indicate that nitric acid and salting-out agents do not alter the Nd(III) speciation during extraction. The model further showed a strong predictive capability when extrapolated to Nd(III)-HNO3-NaNO3 systems, demonstrating its general applicability within the investigated Nd(III)-TBP nitrate system.

PubMedAngewandte Chemie (International ed. in English)2026-11-11

Structural Evolution and Oxygen Evolution Performance of NiFe-Based Electrocatalysts in Phosphate-Containing Electrolytes at Non-Extreme pH.

Komiya Hiroki H, Obata Keisuke K, Jang Joonbaek J, Lasagna Samuele S et al.

Solid/liquid interfacial interactions play an important role in electrochemical reactions when supporting electrolyte components, such as buffer anions, interact directly with catalyst surfaces. Here, we show that phosphate addition selectively suppresses the oxygen evolution reaction (OER) performance of Ni-rich NiFeOx electrocatalysts at pH ∼9. Operando Raman spectroscopy and Ni K-edge X-ray absorption near-edge structure/extended X-ray absorption fine structure (XANES/EXAFS) analyses suggest that phosphate decreases a high-potential γ-NiOOH-like state and attenuates the associated Ni-centered structural response. No Fe K-edge change larger than the experimental uncertainty was resolved during OER. The current and redox response recovered immediately after phosphate was removed, demonstrating a reversible short-term electrolyte effect. In contrast, on-off cycling through the Ni reduction region caused progressive loss of redox charge and catalyst material, particularly for Ni-rich compositions. These findings highlight the importance of integrated electrolyte-electrocatalyst design for improving OER performance and durability, especially under mild pH conditions.

PubMedMolecular plant pathology2026-11-11

The Rcs System Is Required for Virulence and Colonization of the Poplar Canker Bacterium Lonsdalea populi.

Yang Ruirui R, Guo Yongxin Y, Wang Yanwei Y, Wang Yonglin Y et al.

Unlike traditional two-component systems, the Rcs system is an atypical multicomponent phosphorelay. It represents one of the most complex signalling networks in bacteria, regulating vital physiological processes; however, its function in the poplar canker bacterium Lonsdalea populi remains unclear. By combining RNA sequencing, electrophoretic mobility shift assays and pathogenicity assays, we identified two novel RcsB target genes: the pectate lyase gene pelE and the TolC-family outer membrane channel gene omeP. Unphosphorylated RcsB can directly regulate pelE expression to promote host pectin degradation. As PelE degrades the plant cell wall, it activates host immune responses and triggers a burst of reactive oxygen species (ROS). We propose that the transmembrane kinase RcsC senses these stimuli and, via RcsD, transfers phosphate to RcsB, consistent with the conserved Rcs phosphorelay. Phosphorylated RcsB enhanced binding affinity, thereby strengthening transcriptional regulation of omeP and enhancing the tolerance of the pathogen to ROS. This study shows that the Rcs system coordinately regulates omeP and pelE expression to establish an infection pathway, hence promoting L. populi colonization. It highlights a core strategy of woody plant pathogens to degrade host barriers and withstand stress, offering new insights for targeted control.

PubMedAnalytical chemistry2026-11-11

Ion-Migration-Regulated NaCoPO4 Nanosheet as an Efficient Catalyst for Ultrasensitive Chemiluminescence Detection.

Liu Shichen S, Xiao Jinwei J, Lijalem Tsegu T, Liu Jiyang J et al.

For the luminol-H2O2 chemiluminescence (CL) system, developing high-performance nanocatalysts remains a major challenge. Inspired by the ion migration phenomenon in the electrode materials for ion batteries, we synthesized sodium cobalt phosphate nanosheets (NaCoPO4 NSs) with the hexagonal β-phase polymorphic structure consisting of tetrahedral Co (CoO4), in which Na+ occupied relatively open and low-coordination sites that facilitated ion migration. NaCoPO4 NSs achieve a CL enhancement factor of over 3000. Mechanistic studies revealed that the superior catalytic activity of NaCoPO4 NSs was mainly attributed to rapid Na+ ion migration during the catalytic reaction, which facilitated charge separation and transfer and further enhanced the decomposition of H2O2 into reactive oxygen species. Meanwhile, the high proportion of surface oxygen vacancies in NaCoPO4 NSs provided abundant catalytically active sites. Based on the quenching effect of l-ascorbic acid (ascorbic acid (AA)) on the luminol-H2O2 CL signal, a sensitive, rapid, and highly selective CL method for AA determination was developed, exhibiting a linear range from 100 to 5000 nM and a detection limit (limit of detection, S/N = 3) of 69.0 nM. Moreover, the proposed method was successfully applied to the accurate determination of AA in commercially available vitamin C beverage, with spiked recoveries ranging from 97.7% to 100.1%. This work highlights ion migration regulation as a promising strategy for designing high-performance nanocatalysts for CL analysis.

PubMedJournal of clinical microbiology2026-11-11

A dual-target qPCR coupled with high-resolution melting analysis for direct strain discrimination within the Leishmania donovani complex.

Ceccarelli Marcello M, Maestrini Sara S, Diotallevi Aurora A, Buffi Gloria G et al.

Molecular diagnostic approaches, particularly qPCR-based assays targeting nuclear or kinetoplast DNA, have drastically improved the sensitivity of Leishmania detection. However, standard qPCR methods fail to directly differentiate closely related species, such as L. (L.) infantum and L. (L.) donovani, representing a critical limitation for accurate diagnosis and epidemiological surveillance. While whole-genome sequencing and multilocus microsatellite typing can resolve species and uncover L. (L.) infantum/L. (L.) donovani hybrids, both methods are costly and time-consuming. In this study, we developed a dual-target qPCR coupled with high-resolution melting (HRM) analysis to discriminate the Old World Leishmania species of medical interest, in particular L. (L.) infantum, L. (L.) donovani, and genotypes associated with putative L. (L.) infantum/L. (L.) donovani hybrids, directly from clinical specimens. The assays target specific polymorphisms within two metabolic genes: malic enzyme (ME) and nucleoside hydrolase (NH). The performance and discriminative power of this system were validated using a panel of reference strains, clinical isolates, and clinical samples of human and canine origin. The developed qPCR-HRM assays successfully differentiated L. (L.) infantum from L. (L.) donovani and identified L. (L.) infantum variants, including samples displaying putative L. (L.) infantum/L. (L.) donovani hybrid-like profiles. Importantly, the method demonstrated high analytical sensitivity (one parasite per reaction tube) and 82.7% typing rate when applied directly to clinical samples, allowing to discriminate among strains within the L. (L.) donovani complex bypassing parasite isolation. This dual-target qPCR-HRM approach provides a rapid and cost-effective screening tool for Old World Leishmania species identification and genotyping. By enabling direct analysis from clinical samples, this method holds strong potential to improve surveillance and epidemiological tracking of human and canine leishmaniasis. This study provides an affordable and rapid method to distinguish closely related Leishmania parasites directly from clinical samples, without the need for parasite isolation or expensive genome sequencing. Accurate identification of these parasites is important because different species and strains can have distinct geographical distributions, transmission cycles, and animal reservoirs, making them essential to track for effective disease surveillance and control. By combining high sensitivity with the ability to identify species and variants within the L. (L.) donovani complex in a single workflow, this method fills an important gap between routine diagnostic tests and advanced genomic approaches. Its rapidity and low cost make it suitable for use in diagnostic laboratories, particularly in settings where access to sequencing technologies is limited. Ultimately, this approach can strengthen disease surveillance, improve monitoring of parasite transmission, and support more effective public health and veterinary control strategies for leishmaniasis.

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