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Fluosol-DA (Fluosol)

✓ Approved

Mitsubishi Tanabe Pharma Corporation · 小分子 · 小分子

什么是 Fluosol-DA？

Fluosol-DA 是一种小分子，由Mitsubishi Tanabe Pharma Corporation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

商品名Fluosol
公司Mitsubishi Tanabe Pharma Corporation
药物类别小分子
给药途径Unknown
状态Approved
来源： ClinicalTrials.gov, Mitsubishi Tanabe Pharma Corporation

治疗适应症

Fluosol-DA 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
Blood and lymphatic system disordersAnaemia✓ Approved
Neoplasms benign, malignant and unspecified (incl cysts and polyps)Neoplasm malignant✓ Approved

相关研究文献

PubMedDentistry journal2026-07-27

Local Zoledronate Administration Modulates Periapical Lesion Development in Immunologically Distinct Rat Strains.

Milunovic Tamara T, Papic Milos M, Papić Mirjana V MV, Vuletic Miona M et al.

Background/Objectives: The objective of this study was to investigate the effects of local zoledronate treatment during periapical lesion development on inflammatory and bone remodeling responses in two immunologically distinct inbred rat strains, Dark Agouti (DA) and Albino Oxford (AO). Methods: Periapical lesions were induced in the mandibular first molars of AO and DA rats (n = 44) by pulp exposure. Animals were assigned to four groups: DA + zoledronate, DA + saline, AO + zoledronate, and AO + saline. Zoledronate (0.15 mg/kg) or saline was locally administered on days 0, 7, 14, and 21 during lesion development. Animals were sacrificed on day 28. Mandibles were analyzed radiographically and histologically for lesion size, while osteogenic activity was assessed by osteocalcin immunohistochemistry. Gene expression was evaluated by qRT-PCR, and systemic oxidative stress parameters were analyzed spectrophotometrically. Statistical analysis included parametric or non-parametric tests according to data distribution, with significance set at p < 0.05. Results: Zoledronate -treated AO rats exhibited smaller periapical lesions and higher radiographic grayscale density than DA rats (p < 0.05). Histological analysis confirmed the radiographic findings and demonstrated smaller lesion areas in AO rats. Osteocalcin expression was significantly higher in AO rats (p < 0.05), indicating increased osteogenic activity. At the molecular level, DA rats showed higher expression of TNF-α and IL-1β, whereas AO rats exhibited higher expression of IL-10 and IL-4 (p < 0.05). In addition, expression of osteoclastogenic factor RANKL was significantly lower in AO rats than in DA rats (p < 0.05), while OPG expression showed a non-significant tendency toward higher levels in AO rats. Systemic redox analysis demonstrated lower NO2- and O2- levels in zoledronate-treated AO rats, whereas no significant differences were observed in the remaining oxidative stress parameters. Conclusions: Following local zoledronate treatment during lesion development, Th2-dominant AO rats exhibited reduced inflammatory responses and increased osteogenic activity compared with Th1-dominant DA rats. In contrast, DA rats primarily demonstrated attenuation of osteoclastogenic signaling without comparable osteogenic responses. These findings indicate that the biological effects of local zoledronate treatment in developing periapical lesions are influenced by the host immune phenotype.

PMID 42505701
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PubMedDevelopmental medicine and child neurology2026-07-27

Atividade e participação de crianças e adolescentes com paralisia cerebral: um estudo transversal multicêntrico no Brasil.

Fontes Déborah E DE, Ayupe Kênnea M A KMA, Chagas Paula S C PSC, Palisano Robert J RJ et al.

Avaliar os efeitos diretos, indiretos, mediadores e moderadores sobre o desempenho de atividades e a participação de crianças e adolescentes com paralisia cerebral (PC), sob a perspectiva da Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF). MÉTODO: Este estudo transversal incluiu 190 crianças e adolescentes brasileiros, com idade mediana de 7 anos. O Inventário de Avaliação Pediátrica da Incapacidade - Teste Adaptativo Computadorizado (PEDI-CAT) foi utilizado para avaliar o desempenho de atividades (domínios de atividades diárias, mobilidade e social/cognitivo) e a participação (domínio responsabilidade). Dados sobre o nível no Sistema de Classificação da Função Motora Grossa (GMFCS), idade, distribuição anatômica e uso de tecnologia assistiva para mobilidade (fatores ambientais) foram coletados por formulário online e incluídos em modelagem de equações estruturais por meio de análise de trilhas (path analysis). Foi identificado efeito direto do nível GMFCS, idade, distribuição anatômica e uso de tecnologia assistiva para mobilidade. A distribuição anatômica influenciou indiretamente todos os domínios, sendo essa relação mediada pelo nível do GMFCS. Observou-se efeito moderador do uso de tecnologia assistiva para mobilidade nos níveis do GMFCS, melhorando o desempenho em atividades diárias, mobilidade, funcionamento social/cognitivo e responsabilidade. INTERPRETAÇÃO: Este estudo contribui para a compreensão da complexidade dos fatores que influenciam o desempenho de atividades e a participação de crianças e adolescentes com PC, enfatizando a necessidade de avaliações abrangentes alinhadas ao modelo da CIF.

PMID 42504067
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PubMedThe journal of physical chemistry. A2026-07-27

Chemical Modification-Regulated Excited-State Dynamics and Charge Separation in TPA-C60 Donor-Acceptor Systems: A Nonadiabatic Molecular Dynamics Study.

Zhao Rui-Dong RD, Liu Rui-Bin RB, Zhang Gui-Lin GL, Liang Xiao-Qin XQ et al.

Understanding and regulating photoinduced charge-transfer dynamics in donor-acceptor (D-A) systems are crucial for the development of high-performance organic solar cells (OSCs). In this work, the excited-state properties and nonadiabatic dynamics of four chemically modified TPA-C60 D-A systems, namely DA-C60, DDA-C60, TPA-CH2-C60, and TPA-NH-C60, were systematically investigated using linear-response time-dependent density functional theory (LR-TDDFT) and nonadiabatic molecular dynamics (NAMD) simulations. The effects of donor conjugation length and linker-group modification on excited-state electronic structures, optical absorption, relaxation dynamics, and charge-transfer behaviors were comprehensively analyzed. The results show that DA-C60 and DDA-C60 mainly exhibit visible-light absorption, while TPA-CH2-C60 and TPA-NH-C60 display broader absorption regions extending into the ultraviolet region. Electron-hole density and fragment-based exciton analyses reveal that DA-C60 and DDA-C60 are dominated by localized excitons on the C60 fragment after photoexcitation, whereas TPA-CH2-C60 and TPA-NH-C60 exhibit pronounced donor-to-acceptor charge-transfer characteristics. Nonadiabatic dynamics simulations demonstrate that DA-C60 and DDA-C60 undergo ultrafast excited-state relaxation and rapidly evolve into localized |C60*> excitons. In contrast, TPA-CH2-C60 and TPA-NH-C60 exhibit significantly slower relaxation dynamics and efficiently generate long-lived charge-transfer excitons dominated by |TPA-CH2+C60-> and |TPA-NH+C60->, respectively. Moreover, TPA-NH-C60 exhibits a larger electron-hole separation distance than TPA-CH2-C60, indicating that the -NH- linker is more favorable for enhancing charge separation than the -CH2- linker. These results demonstrate that donor conjugation length and linker-group engineering can effectively regulate excited-state relaxation pathways and charge-transfer behaviors in TPA-C60 systems.

PMID 42504694
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PubMedAnalytical methods : advancing methods and applications2026-07-27

Classification of fermentation methods for white mulberry products using fluorescence spectroscopy combined with deep learning.

Zeng Tianrui T, Yang Hao H, Wang Shimu S, Wu Di D et al.

In the field of cosmetic raw materials, accurately distinguishing plant fermentation extracts from traditional water extracts is crucial for ensuring product quality, user safety, and the authenticity of claimed effects. However, conventional chemometrics has limited capacity to explore the nonlinear characteristics of complex fluorescence spectra, and machine learning still faces shortcomings in feature representation and generalization capability, necessitating the development of more efficient and accurate identification methods. In this study, white mulberry (Morus alba L.) was used as the raw material to prepare 966 samples, including yeast fermentation extracts, lactic acid bacteria fermentation extracts, and water extracts. After collecting the fluorescence spectra of each sample, six deep learning models-Informer, PatchTST, Transformer, TCN, LSTM, and CNN-were constructed, alongside traditional models such as SVM, PCA-LDA, and PLS-DA, to systematically compare classification performance. The experiments showed that the Informer model performed the best, with an accuracy, precision, recall, and F1 score of 0.981, 0.982, 0.981, and 0.981, respectively, surpassing all other deep learning models and significantly exceeding traditional methods such as SVM, PCA-LDA, and PLS-DA, demonstrating superior feature extraction and generalization capabilities. This study integrates fluorescence spectroscopy with deep learning, providing a novel and effective solution for identifying liquid cosmetic raw materials.

PMID 42506987
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PubMedNanomaterials (Basel, Switzerland)2026-07-27

Discriminative Sensing of Structurally Similar Neurotransmitters via In-TBAPy MOF Arrays.

He Ting T, Shen Penglei P, Xu Hui H, Zhang Ziyao Z et al.

The accurate discrimination of structurally analogous neurotransmitters remains a formidable challenge due to their high structural similarity and overlapping chemical properties. To address the limitations of low specificity in single-probe sensors and the fabrication complexity of multi-component arrays, we developed a simplified fluorescence sensing array based on a single pyrene-functionalized MOF, In-TBAPy. This strategy leverages the distinctive monomer-to-excimer luminescence transition of In-TBAPy, triggered by the tunable π-π stacking of pyrene units within the crystalline framework. The results demonstrate that the array, integrated with Linear Discriminant Analysis (LDA) across four optimized emission channels, achieves a classification accuracy of 93.75% in identifying four highly similar neurotransmitters: serotonin (5-HT), dopamine (DA), adrenaline (A), and norepinephrine (NA). Notably, the sensing platform exhibits exceptional robustness in simulated physiological environments and complex multi-analyte mixtures, enabling reliable quantitative analysis: 0-100 μM for 5-HT and adrenaline (A), 0-40 μM for dopamine (DA), and 0-80 μM for norepinephrine. Mechanistic studies suggest that the differential quenching of monomer and excimer peaks stems from the synergistic effect of competitive absorption and host-guest interactions. This work effectively overcomes the cross-interference issues of traditional sensors and validates a high-efficiency solution for high-throughput neurotransmitter analysis using a single-material-based array strategy, significantly reducing operational costs and preparation time.

PMID 42506524
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PubMedACS nano2026-07-27

A Dual-Readout Near-Infrared Fluorescent Fiber Probe for High Spatiotemporal Resolution Neurotransmitter Mapping.

Shin Seyoung S, Kim Yeji Y, Yoo Jeongeun J, Cho Jeonghyeon J et al.

Neuromodulators such as dopamine (DA) operate through volume transmission in the brain, creating spatially distributed fields that shape circuit excitability. However, conventional sensing modalities, including voltammetry and fiber photometry, inherently collapse these multidimensional dynamics into one-dimensional, single-point signals, thereby obscuring spatial heterogeneity and propagation behavior. Here, we introduce the Neural Remote Imaging Fiber Interface (NeuRIFI), a dual-readout near-infrared (NIR) sensing platform that bridges localized neurochemical detection and field-level spatial interpretation. By functionalizing implantable optical fibers with DNA-functionalized SWCNT nanosensors, this platform leverages NIR fluorescence emission within the tissue-transparent optical window to enable synchronous fiber-guided photometry and remote NIR imaging without genetic labeling. In this configuration, the photometric channel provides a spatially anchored validation reference, while the remote imaging channel preserves the spatial information on neurochemical signals. We validated the interface across tissue phantoms and ex vivo mouse brains, demonstrating reliable deep-brain signal acquisition at a 3 mm depth. Furthermore, by computing frame-to-frame intensity derivatives, we resolved transient DA flux at a temporal resolution of 20 ms, a spatial resolution of ∼1.5 μm per pixel, and a concentration sensitivity of 90 nM, enabling high spatiotemporal resolution mapping of neurochemical transport across the sensing surface. Collectively, this dual-readout architecture provides a framework linking point-validated sensing to remotely observable spatial structures, offering spatial accessibility for studying complex neurochemical landscapes in deep-brain structures and extending neurochemical field mapping toward in vivo settings.

PMID 42503866
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