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Factor VIII (Factor VIII, Ipsen / Hyate C / Hyate)

✓ Approved

Sanofi S.A · F8 · 细胞治疗

什么是 Factor VIII?

Factor VIII 是一种细胞治疗,由Sanofi S.A研发。该药已获批,用于治疗相关适应症,给药途径:Injectable (Others)、Intravenous (IV)。

药物档案

商品名Factor VIII, Ipsen, Hyate C, Hyate
公司Sanofi S.A
药物类别细胞治疗
分子靶点F8, VWF
给药途径Injectable (Others), Intravenous (IV)
状态Approved

作用机制

分子靶点

Factor VIII 作用于 2 个分子靶点:

F8coagulation factor VIII (AHF, FVIII)
VWFvon Willebrand factor (VWD, F8VWF)
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

Factor VIII 针对 1 个适应症,涉及 1 个治疗领域。

治疗领域疾病/病症分期
Congenital, familial and genetic disordersFactor VIII deficiency✓ Approved

相关研究文献

PubMedMolecular biology reports2026-07-27

Transcriptome-wide profiling of cystic and solid vestibular schwannomas reveals candidate long non-coding RNA signatures.

Teichmann Nele N, Subhash Santhilal S, Giordano Mario M, Ahmed Ashraqat A et al.

Vestibular schwannoma (VS) is a benign tumor growing from Schwann cells of the vestibulocochlear nerve (cranial nerve VIII), accounting for 6-8% of brain tumors. Cystic vestibular schwannoma (cVS) represents 10% of VS cases and is characterized by unpredictable growth and worse surgical outcomes compared to solid VS (sVS). The molecular mechanisms underlying this aggressive phenotype remain poorly understood. In this context, long non-coding RNAs (lncRNAs) are gaining increased interest as biomarkers for early diagnosis and improved clinical management. lncRNAs are RNA molecules that are longer than 200 nucleotides. They are known to regulate gene transcription and participate in chromatin remodeling through various mechanisms. However, their role in cVS is largely unexplored. In this study, we identified cVS-associated lncRNAs using patient-derived samples. Whole transcriptome analysis via RNA sequencing revealed 65 differentially expressed lncRNAs and 308 protein-coding genes (PCGs) between cVS and sVS. From these, we selected the top eight lncRNAs (TENM3-AS1, ADIRF-AS1, PCA3, RP11-108K14.12, RP11-728F11.4, AC132217.4, RP11-43F13.3, and EGFLAM-AS1), each showing significant correlation with more than 20 differentially expressed PCGs. The upregulation of PCA3 and ADIRF-AS1, and the downregulation of EGFLAM-AS1 in cVS, were further validated using qRT-PCR. Here, by transcriptome-wide approach, we demonstrate that lncRNAs are prevalent in cVS disease and are likely to play critical roles in regulating important signaling pathways involved in disease pathogenesis. We believe, that detailed future investigations on this set of identified lncRNAs can provide useful insights into the biology and, ultimately, contribute to biomarker development for this neoplasm.

PMID 42507076
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PubMedNursing reports (Pavia, Italy)2026-07-27

Adaptation and Validation of the Parental Stressor Scale: NICU for Spanish Populations.

Sánchez Regina Matey RM, Gómez Mónica Riaza MR, Reina Miguel A MA

Background/Objectives: Parental stress during neonatal intensive care unit (NICU) admission affects parental well-being, bonding, and neonatal outcomes. Reliable assessment requires instruments adapted to the linguistic and cultural context of each population. This study aimed to adapt the Parental Stressor Scale: NICU (PSS:NICU) for use in Spain and evaluate its psychometric properties. Methods: The adaptation comprised forward translation, back-translation, expert review, pilot testing with cognitive debriefing (n = 15), and psychometric evaluation. The adapted scale was administered to 160 parents (80 mothers, 80 fathers) of NICU-admitted neonates; 159 cases were retained for analysis. Internal consistency was assessed with Cronbach's alpha. Exploratory factor analysis (EFA; maximum likelihood, Promax rotation) with parallel analysis examined the factor structure. Confirmatory factor analysis (CFA) tested the original four-factor model, and a second-order model with five first-order factors was subsequently evaluated. Results: Internal consistency was excellent (total α = 0.968; subscales α = 0.866-0.961). Parallel analysis supported a five-factor EFA solution over a four-factor solution. CFA of the original four-factor model yielded poor fit (CFI = 0.755, TLI = 0.737, RMSEA = 0.125). A second-order model with five first-order factors and one general stress factor improved fit (CFI = 0.819, RMSEA = 0.107), though indices remained below conventional thresholds. Standardised factor loadings were moderate to high (0.57-0.96). Conclusions: The Spanish PSS:NICU demonstrates excellent reliability and provides preliminary evidence supporting its use for research and clinical assessment. The original four-factor structure was not replicated; the data suggest a five-factor organisation with evidence of a higher-order stress construct. Structural validity requires confirmation in larger, independent samples.

PMID 42506003
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PubMedJournal of trauma & dissociation : the official journal of the International Society for the Study of Dissociation (ISSD)2026-07-27

The Structure of Attachment Trauma: A Confirmatory Factor Analysis and Latent Profile Analysis on the Adult Attachment Trauma Questionnaire.

Zagaria Andrea A, Perinelli Enrico E, Lombardi Luigi L

The Adult Attachment Trauma Questionnaire (AATQ) is a newly developed measure to assess Attachment Trauma (AT) in adult romantic relationships. The current study builds upon the original validation study to further explore the psychometric properties of the AATQ in a general sample of 345 adults, using both variable-centered (Confirmatory Factor Analysis; CFA) and person-centered (Latent Profile Analysis; LPA) data analyses. The CFA revealed that the best model was a six-factor structure with a higher-order factor representing general AT. Invariance testing demonstrated that the AATQ is robust across sex, showing configural, metric, scalar, and strict invariance. The LPA identified three latent classes of AT (i.e. High, Medium, and Low). Discussions are provided on the correlates of the subscales. In summary, the AATQ has proven to possess robust psychometric properties.

PMID 42504866
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PubMedCells2026-07-27

Regenerative Potential of Autologously Processed White Adipose Tissue for Peripheral Nerve Regeneration: Evaluation of Growth Factor Profiles and Electrical Stimulation.

Egger Tobias T, Eigenberger Andreas A, Felthaus Oliver O, Ruewe Marc M et al.

Peripheral nerve injuries (PNI) present a major clinical and socioeconomic challenge due to limited regenerative capacity. Adipose-derived stem cells (ADSCs) within the stromal vascular fraction (SVF) of white adipose tissue offer a promising autologous source for regenerative support. This study evaluated the impact of mechanical processing CELT (Cell-Enriched Lipotransfer) and CELTPLUS and electrical stimulation on the regenerative secretome of human lipoaspirates. qPCR analysis revealed that CELTPLUS processing, which incorporates mechanical intersyringe shifting, significantly doubled the gene expression of nerve growth factor (NGF) (p = 0.015), vascular endothelial growth factor (VEGF) (p = 0.02), and brain-derived neurotrophic factor (BDNF) (p = 0.04) compared to CELT-processed lipoaspirate. Protein analysis via ELISA confirmed a time-dependent secretion of NGF and VEGF over 96 h. Furthermore, 24 h electrical stimulation (2 V) significantly enhanced NGF protein release (p < 0.001). These findings demonstrate that standardized mechanical processing effectively enriches regenerative cell populations and amplifies their neurogenic and angiogenic potential. The additional modulation of growth factor secretion via electrical stimulation highlights the potential of processed adipose tissue as a functional, autologous transplant for enhanced nerve reconstruction.

PMID 42505360
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PubMedJournal of Intelligence2026-07-27

The Strategic Prompting Scale (SPS) for Measuring Metacognitive Regulation in Human-AI Interaction.

Suriano Rossella R, Plebe Alessio A

The increasing use of Neural Language Models (NLMs) calls for strategic and metacognitive skills in prompt formulation, monitoring, and adaptation. This study presents the Strategic Prompting Scale (SPS), designed to measure the extent to which users apply planning, adaptation, and evaluation strategies during interactions with generative language models. After expert review and pilot testing, an exploratory factor analysis with 187 participants revealed a three-factor structure-Planning, Adaptation, and Evaluation-explaining 60.4% of the total variance. The final 15-item scale demonstrated good internal consistency. Confirmatory factor analysis with an independent sample of 406 participants supported the proposed factor structure. The SPS also showed theoretically expected associations with related constructs, including positive correlations with metacognition and critical thinking, and negative correlations with disengagement in AI interaction. Overall, the findings provide preliminary psychometric evidence for the SPS as a theory-driven instrument to assess metacognitive regulation and self-regulated behaviors in generative AI use, with potential applications in educational, professional, and research contexts.

PMID 42505952
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PubMedAnatolian journal of cardiology2026-07-27

Wenxin Keli, Clopidogrel, Vericiguat and New Impact Factor: 2.1.

Erol Çetin Ç

PMID 42504904
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